start-ver=1.4
cd-journal=joma
no-vol=47
cd-vols=
no-issue=6
article-no=
start-page=466
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250617
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The coronavirus pathogenesis pathway, which consists of severe acute respiratory syndrome (SARS) coronavirus infection and signaling pathways, including the interferon pathway, the transforming growth factor beta pathway, the mitogen-activated protein kinase pathway, the apoptosis pathway, and the inflammation pathway, is activated upon coronaviral infection. An artificial intelligence approach based on machine learning was utilized to develop models with images of the coronavirus pathogenesis pathway to predict the activation states. Data on coronaviral infection held in a database were analyzed with Ingenuity Pathway Analysis (IPA), a network pathway analysis tool. Data related to SARS coronavirus 2 (SARS-CoV-2) were extracted from more than 100,000 analyses and datasets in the IPA database. A total of 27 analyses, including nine analyses of SARS-CoV-2-infected human-induced pluripotent stem cells (iPSCs) and iPSC-derived cardiomyocytes and fibroblasts, and a total of 22 analyses of SARS-CoV-2-infected lung adenocarcinoma (LUAD), were identified as being related to “human” and “SARS coronavirus 2” in the database. The coronavirus pathogenesis pathway was activated in SARS-CoV-2-infected iPSC-derived cells and LUAD cells. A prediction model was developed in Python 3.11 using images of the coronavirus pathogenesis pathway under different conditions. The prediction model of activation states of the coronavirus pathogenesis pathway may aid in treatment identification.
en-copyright=
kn-copyright=
en-aut-name=TanabeShihori
en-aut-sei=Tanabe
en-aut-mei=Shihori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=QuaderSabina
en-aut-sei=Quader
en-aut-mei=Sabina
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OnoRyuichi
en-aut-sei=Ono
en-aut-mei=Ryuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TanakaHiroyoshi Y.
en-aut-sei=Tanaka
en-aut-mei=Hiroyoshi Y.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YamamotoAkihisa
en-aut-sei=Yamamoto
en-aut-mei=Akihisa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KojimaMotohiro
en-aut-sei=Kojima
en-aut-mei=Motohiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=PerkinsEdward J.
en-aut-sei=Perkins
en-aut-mei=Edward J.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=CabralHoracio
en-aut-sei=Cabral
en-aut-mei=Horacio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
affil-num=1
en-affil=Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences
kn-affil=
affil-num=2
en-affil=Innovation Centre of NanoMedicine (iCONM), Kawasaki Institute of Industrial Promotion
kn-affil=
affil-num=3
en-affil=Division of Cellular and Molecular Toxicology, Center for Biological Safety and Research, National Institute of Health Sciences
kn-affil=
affil-num=4
en-affil=Department of Pharmaceutical Biomedicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Mechanical Systems Engineering, Graduate School of Systems Design Tokyo Metropolitan University
kn-affil=
affil-num=6
en-affil=Department of Surgical Pathology, Kyoto Prefecture University of Medicine
kn-affil=
affil-num=7
en-affil=US Army Engineer Research and Development Center
kn-affil=
affil-num=8
en-affil=Department of Bioengineering, Graduate School of Engineering, The University of Tokyo
kn-affil=
en-keyword=artificial intelligence
kn-keyword=artificial intelligence
en-keyword=coronavirus
kn-keyword=coronavirus
en-keyword=coronaviral infection
kn-keyword=coronaviral infection
en-keyword=machine learning
kn-keyword=machine learning
en-keyword=pathway analysis
kn-keyword=pathway analysis
en-keyword=predictionmodel
kn-keyword=predictionmodel
en-keyword=molecular network
kn-keyword=molecular network
en-keyword=molecular pathway image
kn-keyword=molecular pathway image
en-keyword=network analysis
kn-keyword=network analysis
END
start-ver=1.4
cd-journal=joma
no-vol=41
cd-vols=
no-issue=3
article-no=
start-page=e70085
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250512
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Acute effect of multipoint pacing and fused AV delay in patients receiving cardiac resynchronization therapy
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: Cardiac resynchronization therapy (CRT) is an established treatment for patients with heart failure with dyssynchrony. However, one-third of patients do not respond positively to it. Recently, multipoint pacing (MPP), which involves pacing from two sites on the left ventricle, has been found to improve symptoms and hemodynamics compared to conventional CRT. An automatic fused atrioventricular (AV) delay that performs fused pacing for intrinsic conduction has also been introduced. However, the combined effect of MPP and fused AV delay on acute hemodynamics is unknown.
Objective: To evaluate the acute hemodynamic effects of MPP and fused AV delay in patients undergoing CRT.
Methods: A pressure wire was delivered to the left ventricle, and dp/dt was compared with single atrial stimulation pacing in 52 patients with various pacing configurations.
Results: Delta dp/dt was greater in MPP than in conventional CRT (10.5 ± 1.0% vs. 8.2 ± 1.0%, p < 0.001) and in fused AV delay than in short AV delay (10.4 ± 0.8% vs. 8.3 ± 1.1, p < 0.001). Hemodynamic parameters significantly most improved with the combination of MPP and fused AV delay. Delta dp/dt was greater in LV pacing than in biventricular (BiV) pacing with MPP and fused AV delay; however, the delta QRS duration was shorter in LV pacing than in BiV pacing. Delta dp/dt and delta QRS duration were negatively correlated. The super-responder rate was 66%.
Conclusion: Combining MPP and fused AV delay has an additional effect. Shortening the QRS duration can increase the dp/dt, but the estimated line differs between LV and BiV pacing.
en-copyright=
kn-copyright=
en-aut-name=MiyamotoMasakazu
en-aut-sei=Miyamoto
en-aut-mei=Masakazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NishiiNobuhiro
en-aut-sei=Nishii
en-aut-mei=Nobuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MizunoTomofumi
en-aut-sei=Mizuno
en-aut-mei=Tomofumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=UeokaAkira
en-aut-sei=Ueoka
en-aut-mei=Akira
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MasudaTakuro
en-aut-sei=Masuda
en-aut-mei=Takuro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=AsadaSaori
en-aut-sei=Asada
en-aut-mei=Saori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=EjiriKentaro
en-aut-sei=Ejiri
en-aut-mei=Kentaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=KawadaSatoshi
en-aut-sei=Kawada
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=NakagawaKoji
en-aut-sei=Nakagawa
en-aut-mei=Koji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=NakamuraKazufumi
en-aut-sei=Nakamura
en-aut-mei=Kazufumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=MoritaHiroshi
en-aut-sei=Morita
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=YuasaShinsuke
en-aut-sei=Yuasa
en-aut-mei=Shinsuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
affil-num=1
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Cardiovascular Therapeutics, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=11
en-affil=Department of Cardiovascular Therapeutics, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=12
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
en-keyword=cardiac resynchronization therapy
kn-keyword=cardiac resynchronization therapy
en-keyword=dp/dt
kn-keyword=dp/dt
en-keyword=fused AV delay
kn-keyword=fused AV delay
en-keyword=LV pacing
kn-keyword=LV pacing
en-keyword=multipoint pacing
kn-keyword=multipoint pacing
END
start-ver=1.4
cd-journal=joma
no-vol=52
cd-vols=
no-issue=14
article-no=
start-page=e2024GL114146
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250718
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Unraveling the Complex Features of the Seismic Scatterers in the Mid‐Lower Mantle Through Phase Transition of (Al, H)‐Bearing Stishovite
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Small-scale scatterers observed in the mid-lower mantle beneath the subduction zones are thought to result from the phase transition of stishovite within subducted oceanic crusts. Here we investigate the phase transition of (Al, H)-bearing stishovite with four compositions at simultaneously high P-T conditions combining Raman spectroscopy and X-ray diffraction. These experimental results reveal that the incorporation of 0.01 a.p.f.u Al into stishovite with H/Al ratio of ∼1/3 lowers the transition pressure by 6.7(3) GPa. However, the Clapeyron slope of this transition is nearly unaffected by changes in the Al content and has a value of 12.2–12.5(3) MPa/K. According to our results, Al content variation ranging from 0 to 0.07 a.p.f.u in SiO2 can reasonably explain the depth distribution from 800 to 1,900 km of the seismic scatterers observed in the circum-Pacific region. These results deepen our understanding on the complex features of mid-lower mantle seismic scatterers and corresponding dynamic processes.
en-copyright=
kn-copyright=
en-aut-name=YuYingxin
en-aut-sei=Yu
en-aut-mei=Yingxin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=ZhangYouyue
en-aut-sei=Zhang
en-aut-mei=Youyue
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=LiLuo
en-aut-sei=Li
en-aut-mei=Luo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ZhangXinyue
en-aut-sei=Zhang
en-aut-mei=Xinyue
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=WangDenglei
en-aut-sei=Wang
en-aut-mei=Denglei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MaoZhu
en-aut-sei=Mao
en-aut-mei=Zhu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=SunNingyu
en-aut-sei=Sun
en-aut-mei=Ningyu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=ZhangYanyao
en-aut-sei=Zhang
en-aut-mei=Yanyao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=LiXinyang
en-aut-sei=Li
en-aut-mei=Xinyang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=LiWancai
en-aut-sei=Li
en-aut-mei=Wancai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=SpezialeSergio
en-aut-sei=Speziale
en-aut-mei=Sergio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=ZhangDongzhou
en-aut-sei=Zhang
en-aut-mei=Dongzhou
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=LinJung‐Fu
en-aut-sei=Lin
en-aut-mei=Jung‐Fu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=YoshinoTakashi
en-aut-sei=Yoshino
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
affil-num=1
en-affil=Deep Space Exploration Laboratory, School of Earth and Space Sciences, University of Science and Technology of China
kn-affil=
affil-num=2
en-affil=Institute for Planetary Materials, Okayama University
kn-affil=
affil-num=3
en-affil=Deep Space Exploration Laboratory, School of Earth and Space Sciences, University of Science and Technology of China
kn-affil=
affil-num=4
en-affil=Deep Space Exploration Laboratory, School of Earth and Space Sciences, University of Science and Technology of China
kn-affil=
affil-num=5
en-affil=Deep Space Exploration Laboratory, School of Earth and Space Sciences, University of Science and Technology of China
kn-affil=
affil-num=6
en-affil=Deep Space Exploration Laboratory, School of Earth and Space Sciences, University of Science and Technology of China
kn-affil=
affil-num=7
en-affil=Deep Space Exploration Laboratory, School of Earth and Space Sciences, University of Science and Technology of China
kn-affil=
affil-num=8
en-affil=Earth and Planetary Sciences, Stanford University
kn-affil=
affil-num=9
en-affil=State Key Laboratory of High Pressure and Superhard Materials, College of Physics, Jilin University
kn-affil=
affil-num=10
en-affil=CAS Key Laboratory of Crust‐Mantle Materials and Environments, School of Earth and Space Sciences, University of Science and Technology of China
kn-affil=
affil-num=11
en-affil=GFZ German Research Centre for Geosciences
kn-affil=
affil-num=12
en-affil=GeoSoilEnviroCARS, University of Chicago
kn-affil=
affil-num=13
en-affil=Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin
kn-affil=
affil-num=14
en-affil=Institute for Planetary Materials, Okayama University
kn-affil=
en-keyword=(Al, H)-bearing stishovite
kn-keyword=(Al, H)-bearing stishovite
en-keyword=phase transition
kn-keyword=phase transition
en-keyword=mid-lower mantle
kn-keyword=mid-lower mantle
en-keyword=small-scale seismic scatterers
kn-keyword=small-scale seismic scatterers
END
start-ver=1.4
cd-journal=joma
no-vol=36
cd-vols=
no-issue=12
article-no=
start-page=4932
end-page=4951
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241021
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The leucine-rich repeat receptor kinase QSK1 regulates PRR-RBOHD complexes targeted by the bacterial effector HopF2Pto
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Plants detect pathogens using cell-surface pattern recognition receptors (PRRs) such as ELONGATION Factor-TU (EF-TU) RECEPTOR (EFR) and FLAGELLIN SENSING 2 (FLS2), which recognize bacterial EF-Tu and flagellin, respectively. These PRRs belong to the leucine-rich repeat receptor kinase (LRR-RK) family and activate the production of reactive oxygen species via the NADPH oxidase RESPIRATORY BURST OXIDASE HOMOLOG D (RBOHD). The PRR-RBOHD complex is tightly regulated to prevent unwarranted or exaggerated immune responses. However, certain pathogen effectors can subvert these regulatory mechanisms, thereby suppressing plant immunity. To elucidate the intricate dynamics of the PRR-RBOHD complex, we conducted a comparative coimmunoprecipitation analysis using EFR, FLS2, and RBOHD in Arabidopsis thaliana. We identified QIAN SHOU KINASE 1 (QSK1), an LRR-RK, as a PRR-RBOHD complex-associated protein. QSK1 downregulated FLS2 and EFR abundance, functioning as a negative regulator of PRR-triggered immunity (PTI). QSK1 was targeted by the bacterial effector HopF2Pto, a mono-ADP ribosyltransferase, reducing FLS2 and EFR levels through both transcriptional and transcription-independent pathways, thereby inhibiting PTI. Furthermore, HopF2Pto transcriptionally downregulated PROSCOOP genes encoding important stress-regulated phytocytokines and their receptor MALE DISCOVERER 1-INTERACTING RECEPTOR-LIKE KINASE 2. Importantly, HopF2Pto requires QSK1 for its accumulation and virulence functions within plants. In summary, our results provide insights into the mechanism by which HopF2Pto employs QSK1 to desensitize plants to pathogen attack.
en-copyright=
kn-copyright=
en-aut-name=GotoYukihisa
en-aut-sei=Goto
en-aut-mei=Yukihisa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KadotaYasuhiro
en-aut-sei=Kadota
en-aut-mei=Yasuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MbengueMalick
en-aut-sei=Mbengue
en-aut-mei=Malick
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=LewisJennifer D
en-aut-sei=Lewis
en-aut-mei=Jennifer D
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MatsuiHidenori
en-aut-sei=Matsui
en-aut-mei=Hidenori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MakiNoriko
en-aut-sei=Maki
en-aut-mei=Noriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=NgouBruno Pok Man
en-aut-sei=Ngou
en-aut-mei=Bruno Pok Man
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=SklenarJan
en-aut-sei=Sklenar
en-aut-mei=Jan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=DerbyshirePaul
en-aut-sei=Derbyshire
en-aut-mei=Paul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=ShibataArisa
en-aut-sei=Shibata
en-aut-mei=Arisa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=IchihashiYasunori
en-aut-sei=Ichihashi
en-aut-mei=Yasunori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=GuttmanDavid S
en-aut-sei=Guttman
en-aut-mei=David S
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=NakagamiHirofumi
en-aut-sei=Nakagami
en-aut-mei=Hirofumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=SuzukiTakamasa
en-aut-sei=Suzuki
en-aut-mei=Takamasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=MenkeFrank L H
en-aut-sei=Menke
en-aut-mei=Frank L H
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
en-aut-name=RobatzekSilke
en-aut-sei=Robatzek
en-aut-mei=Silke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=16
ORCID=
en-aut-name=DesveauxDarrell
en-aut-sei=Desveaux
en-aut-mei=Darrell
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=17
ORCID=
en-aut-name=ZipfelCyril
en-aut-sei=Zipfel
en-aut-mei=Cyril
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=18
ORCID=
en-aut-name=ShirasuKen
en-aut-sei=Shirasu
en-aut-mei=Ken
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=19
ORCID=
affil-num=1
en-affil=Plant Immunity Research Group, RIKEN Center for Sustainable Resource Science (CSRS)
kn-affil=
affil-num=2
en-affil=Plant Immunity Research Group, RIKEN Center for Sustainable Resource Science (CSRS)
kn-affil=
affil-num=3
en-affil=The Sainsbury Laboratory, University of East Anglia
kn-affil=
affil-num=4
en-affil=Department of Cell and System Biology, Centre for the Analysis of Genome Function and Evolution, University of Toronto
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=6
en-affil=Plant Immunity Research Group, RIKEN Center for Sustainable Resource Science (CSRS)
kn-affil=
affil-num=7
en-affil=Plant Immunity Research Group, RIKEN Center for Sustainable Resource Science (CSRS)
kn-affil=
affil-num=8
en-affil=The Sainsbury Laboratory, University of East Anglia
kn-affil=
affil-num=9
en-affil=The Sainsbury Laboratory, University of East Anglia
kn-affil=
affil-num=10
en-affil=Plant Immunity Research Group, RIKEN Center for Sustainable Resource Science (CSRS)
kn-affil=
affil-num=11
en-affil=Plant Immunity Research Group, RIKEN Center for Sustainable Resource Science (CSRS)
kn-affil=
affil-num=12
en-affil=Department of Cell and System Biology, Centre for the Analysis of Genome Function and Evolution, University of Toronto
kn-affil=
affil-num=13
en-affil=Plant Proteomics Research Unit, RIKEN CSRS
kn-affil=
affil-num=14
en-affil=College of Bioscience and Biotechnology, Chubu University
kn-affil=
affil-num=15
en-affil=The Sainsbury Laboratory, University of East Anglia
kn-affil=
affil-num=16
en-affil=The Sainsbury Laboratory, University of East Anglia
kn-affil=
affil-num=17
en-affil=Department of Cell and System Biology, Centre for the Analysis of Genome Function and Evolution, University of Toronto
kn-affil=
affil-num=18
en-affil=Institute of Plant and Microbial Biology, Zurich-Basel Plant Science Center, University of Zurich
kn-affil=
affil-num=19
en-affil=Plant Immunity Research Group, RIKEN Center for Sustainable Resource Science (CSRS)
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=94
cd-vols=
no-issue=1
article-no=
start-page=64
end-page=72
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=2025
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Development of an AI-based Image Analysis System to Calculate the Visit Duration of a Green Blow Fly on a Strawberry Flower
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Pollinator insects are required to pollinate flowers in the production of some fruits and vegetables, and strawberries fall into this category. However, the function of pollinators has not been clarified by quantitative metrics such as the duration of pollinator visits needed by flowers. Due to the long activity time of pollinators (approximately 10-h), it is not easy to observe the visitation characteristics manually. Therefore, we developed software for evaluating pollinator performance using two types of artificial intelligence (AI), YOLOv4, which is an object detection AI, and VGG16, which is an image classifier AI. In this study, we used Phaenicia sericata Meigen (green blow fly) as the strawberry pollinator. The software program can automatically estimate the visit duration of a fly on a flower from video clips. First, the position of the flower is identified using YOLO, and the identified location is cropped. Next, the cropped image is classified by VGG16 to determine if the fly is on the flower. Finally, the results are saved in CSV and HTML format. The program processed 10 h of video (collected from 07:00 h to 17:00 h) taken under actual growing conditions to estimate the visit durations of flies on flowers. The recognition accuracy was approximately 97%, with an average difference of 550 s. The software was run on a small computer board (the Jetson Nano), indicating that it can easily be used without a complicated AI configuration. This means that the software can be used immediately by distributing pre-configured disk images. When the software was run on the Jetson Nano, it took approximately 11 min to estimate one day of 2-h video. It is therefore clear that the visit duration of a fly on a flower can be estimated much faster than by manually checking videos. Furthermore, this system can estimate the visit durations of pollinators to other flowers by changing the YOLO and VGG16 model files.
en-copyright=
kn-copyright=
en-aut-name=TaniguchiHiroki
en-aut-sei=Taniguchi
en-aut-mei=Hiroki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TsukudaYuki
en-aut-sei=Tsukuda
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MotokiKo
en-aut-sei=Motoki
en-aut-mei=Ko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=GotoTanjuro
en-aut-sei=Goto
en-aut-mei=Tanjuro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YoshidaYuichi
en-aut-sei=Yoshida
en-aut-mei=Yuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=YasubaKen-ichiro
en-aut-sei=Yasuba
en-aut-mei=Ken-ichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=2
en-affil=School of Agriculture Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=6
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=deep learning
kn-keyword=deep learning
en-keyword=fly
kn-keyword=fly
en-keyword=microcomputer
kn-keyword=microcomputer
en-keyword=VGG16
kn-keyword=VGG16
en-keyword=YOLO
kn-keyword=YOLO
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=ncaf080
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250718
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Optimizing radiation dose and image quality in neonatal mobile radiography
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Children are more susceptible to radiation exposure than adults. Therefore, determining an appropriate radiation dose requires balancing and minimizing radiation exposure while maintaining image quality (IQ) for accurate diagnosis. We evaluated the optimal radiation dose parameters for neonatal chest and abdominal mobile radiography by assessing entrance surface dose and IQ indices. A range of exposure parameters was tested on neonatal and acrylic phantoms, and the optimal settings were determined through visual and physical evaluations. Overall, 65 kVp and 1.2 mAs provided the best balance between minimizing radiation exposure and maintaining high IQ for neonates. This study offers essential insights into optimizing radiographic conditions for neonatal care, contributing to safe and effective radiological practices. These optimized parameters can help guide future clinical applications by ensuring reduced radiation risk and enhanced diagnostic accuracy.
en-copyright=
kn-copyright=
en-aut-name=MaedaTakahiko
en-aut-sei=Maeda
en-aut-mei=Takahiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HaraMakoto
en-aut-sei=Hara
en-aut-mei=Makoto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YamasakiHiroyuki
en-aut-sei=Yamasaki
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=NakaharaMakoto
en-aut-sei=Nakahara
en-aut-mei=Makoto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TanabeYoshinori
en-aut-sei=Tanabe
en-aut-mei=Yoshinori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Health Sciences, Department of Radiological Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Radiology, Hyogo Prefectural Kobe Children’s Hospital
kn-affil=
affil-num=3
en-affil=Department of Radiology, Hyogo Prefectural Kobe Children’s Hospital
kn-affil=
affil-num=4
en-affil=Department of Radiology, Hyogo Prefectural Tamba Medical Center
kn-affil=
affil-num=5
en-affil=Faculty of Medicine, Graduate School of Health Sciences, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=177
cd-vols=
no-issue=4
article-no=
start-page=e70396
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202507
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=CNGC2 Negatively Regulates Stomatal Closure and Is Not Required for flg22- and H2O2-Induced Guard Cell [Ca2+]cyt Elevation in Arabidopsis thaliana
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In guard cells, cytosolic Ca2+ acts as a second messenger that mediates abscisic acid (ABA)- and pathogen-associated molecular pattern (PAMP)-induced stomatal closure. It was reported that Arabidopsis cyclic nucleotide-gated ion channel 2 (CNGC2) functions as hydrogen peroxide (H2O2)- and PAMP-activated Ca2+-permeable channels at the plasma membrane of mesophyll cells and mediates Ca2+-dependent PAMP-triggered immunity. In this study, we examined the role of CNGC2 in the regulation of stomatal movement because CNGC2 is also expressed in guard cells. We found that stomata of the CNGC2 disruption mutant cngc2-3 are constitutively closed even in the absence of ABA or the flagellar-derived PAMP, flg22. Consistently, leaf temperatures of the cngc2-3 mutant were higher than those of wild-type (WT) plants. The stomatal phenotype of the cngc2-3 mutant was restored by complementation with wild-type CNGC2 under the control of the guard cell preferential promoter, pGC1. Elevation of cytosolic free Ca2+ concentration in guard cells induced by flg22 and H2O2 remained intact in the cngc2-3 mutant. The introduction of the ost1-3 mutation into the cngc2-3 background did not alter the stomatal phenotype. However, the stomatal phenotype of the cngc2-3 mutant was successfully rescued in the double disruption mutant cngc2-3aba2-2. Taken together, these results suggest that CNGC2 negatively regulates stomatal closure response and does not function as flg22– and H2O2-activated Ca2+ channels in guard cells. Though CNGC2 is responsive for H2O2- and flg22-induced [Ca2+]cyt elevation in mesophyll cells, the involvement of CNGC2 in the response to H2O2 and flg22 in guard cells is questionable.
en-copyright=
kn-copyright=
en-aut-name=AkterRojina
en-aut-sei=Akter
en-aut-mei=Rojina
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=InoueYasuhiro
en-aut-sei=Inoue
en-aut-mei=Yasuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MasumotoSaori
en-aut-sei=Masumoto
en-aut-mei=Saori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MimataYoshiharu
en-aut-sei=Mimata
en-aut-mei=Yoshiharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MatsuuraTakakazu
en-aut-sei=Matsuura
en-aut-mei=Takakazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MoriIzumi C.
en-aut-sei=Mori
en-aut-mei=Izumi C.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=NakamuraToshiyuki
en-aut-sei=Nakamura
en-aut-mei=Toshiyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NakamuraYoshimasa
en-aut-sei=Nakamura
en-aut-mei=Yoshimasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=MurataYoshiyuki
en-aut-sei=Murata
en-aut-mei=Yoshiyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=MunemasaShintaro
en-aut-sei=Munemasa
en-aut-mei=Shintaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=3
en-affil=Faculty of Agriculture, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=5
en-affil=Institute of Plant Science and Resources, Okayama University
kn-affil=
affil-num=6
en-affil=
kn-affil=
affil-num=7
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=8
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=9
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=10
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=calcium signaling
kn-keyword=calcium signaling
en-keyword=CNGC
kn-keyword=CNGC
en-keyword=stomata
kn-keyword=stomata
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=10819
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241230
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A high-protein diet-responsive gut hormone regulates behavioral and metabolic optimization in Drosophila melanogaster
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Protein is essential for all living organisms; however, excessive protein intake can have adverse effects, such as hyperammonemia. Although mechanisms responding to protein deficiency are well-studied, there is a significant gap in our understanding of how organisms adaptively suppress excessive protein intake. In the present study, utilizing the fruit fly, Drosophila melanogaster, we discover that the peptide hormone CCHamide1 (CCHa1), secreted by enteroendocrine cells in response to a high-protein diet (HPD), is vital for suppressing overconsumption of protein. Gut-derived CCHa1 is received by a small subset of enteric neurons that produce short neuropeptide F, thereby modulating protein-specific satiety. Importantly, impairment of the CCHa1-mediated gut-enteric neuronal axis results in ammonia accumulation and a shortened lifespan under HPD conditions. Collectively, our findings unravel the crosstalk of gut hormone and neuronal pathways that orchestrate physiological responses to prevent and adapt to dietary protein overload.
en-copyright=
kn-copyright=
en-aut-name=YoshinariYuto
en-aut-sei=Yoshinari
en-aut-mei=Yuto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NishimuraTakashi
en-aut-sei=Nishimura
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YoshiiTaishi
en-aut-sei=Yoshii
en-aut-mei=Taishi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KondoShu
en-aut-sei=Kondo
en-aut-mei=Shu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TanimotoHiromu
en-aut-sei=Tanimoto
en-aut-mei=Hiromu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KobayashiTomoe
en-aut-sei=Kobayashi
en-aut-mei=Tomoe
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=MatsuyamaMakoto
en-aut-sei=Matsuyama
en-aut-mei=Makoto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NiwaRyusuke
en-aut-sei=Niwa
en-aut-mei=Ryusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
affil-num=1
en-affil=Metabolic Regulation and Genetics, Institute for Molecular and Cellular Regulation, Gunma University
kn-affil=
affil-num=2
en-affil=Metabolic Regulation and Genetics, Institute for Molecular and Cellular Regulation, Gunma University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Biological Science and Technology, Faculty of Advanced Engineering, Tokyo University of Science
kn-affil=
affil-num=5
en-affil=Graduate School of Life Sciences, Tohoku University
kn-affil=
affil-num=6
en-affil=Division of Molecular Genetics, Shigei Medical Research Institute
kn-affil=
affil-num=7
en-affil=Division of Molecular Genetics, Shigei Medical Research Institute
kn-affil=
affil-num=8
en-affil=Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance (TARA), University of Tsukuba
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=41
cd-vols=
no-issue=7
article-no=
start-page=1073
end-page=1082
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250520
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Direct insertion of an ion channel immobilized on a soft agarose gel bead into a lipid bilayer: an optimized method
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In this paper, we report the development of a device that improves the conventional artificial lipid bilayer method and can measure channel currents more efficiently. Ion channel proteins are an attractive research target in biophysics, because their functions can be measured at the single-molecule level with high time resolution. In addition, they have attracted attention as targets for drug discovery because of their crucial roles in vivo. Although electrophysiological methods are powerful tools for studying channel proteins, they suffer from low measurement efficiency and require considerable skill. In our previous paper, we reported that by immobilizing channel proteins on agarose gel beads and forming an artificial lipid bilayer on the bead surface, we simultaneously solved two problems that had been hindering the efficiency of the artificial bilayer method: the time-consuming formation of artificial lipid bilayers and the time-consuming incorporation of channels into artificial bilayers. Previous studies have utilized crosslinked hard beads; however, here we show that channel current measurement can be achieved more simply and efficiently using non-crosslinked soft beads. In this study, we detailed the process of immobilizing channel proteins on the surface of non-crosslinked beads through chemical modification, allowing us to measure their channel activity. This method enables current measurements without the need for stringent bead size selection or high negative pressure.
en-copyright=
kn-copyright=
en-aut-name=AsakuraMami
en-aut-sei=Asakura
en-aut-mei=Mami
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WangShuyan
en-aut-sei=Wang
en-aut-mei=Shuyan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HiranoMinako
en-aut-sei=Hirano
en-aut-mei=Minako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=IdeToru
en-aut-sei=Ide
en-aut-mei=Toru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=Ion channel
kn-keyword=Ion channel
en-keyword=Artificial lipid bilayer
kn-keyword=Artificial lipid bilayer
en-keyword=Suction fixation
kn-keyword=Suction fixation
en-keyword=Soft agarose bead
kn-keyword=Soft agarose bead
en-keyword=Current recording
kn-keyword=Current recording
END
start-ver=1.4
cd-journal=joma
no-vol=297
cd-vols=
no-issue=
article-no=
start-page=128540
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2026
dt-pub=202601
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Microfluidic paper-based analytical devices for antioxidant vitamins C and E in foods
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In this study, we developed microfluidic paper-based analytical devices (μPADs) for the determination of antioxidant vitamins. The proposed μPADs utilize the reduction of metal ions by hydrophilic and hydrophobic antioxidant vitamins, which is followed by colorimetric reactions with chelating reagents. Hydrophilic vitamin C reduces Fe(III) to Fe(II) and forms a stable Fe(II)-bathophenanthroline complex in an aqueous solution. By contrast, this complex is unstable in organic solvents, and hydrophobic vitamin E requires Fe(III) and bathophenanthroline to be replaced with Cu(II) and bathocuproine. In these results, the relationship between the logarithm of a vitamin's concentration and its color intensity was linear and ranged from 4.4 to 35 mg L−1 for ascorbic acid and 50–200 mg L−1 for α-tocopherol. The limits of detection, estimated from the standard deviation of blank samples, were 3.1 mg L−1 for ascorbic acid and either 27 mg L−1 (in hexane) or 48 mg L−1 (in ethanol) for α-tocopherol. The proposed method was used to quantify vitamin C in bell peppers, mandarin oranges, kiwifruit, and lemons, as well as vitamin E in almonds, almond milk, and dietary supplements. The results demonstrate the effectiveness of these μPADs for the practical analysis of antioxidant vitamins in food samples.
en-copyright=
kn-copyright=
en-aut-name=KawaharaMana
en-aut-sei=Kawahara
en-aut-mei=Mana
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=DanchanaKaewta
en-aut-sei=Danchana
en-aut-mei=Kaewta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KanetaTakashi
en-aut-sei=Kaneta
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Chemistry, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Chemistry, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Chemistry, Okayama University
kn-affil=
en-keyword=Microfluidic paper-based analytical device
kn-keyword=Microfluidic paper-based analytical device
en-keyword=Vitamin C
kn-keyword=Vitamin C
en-keyword=Vitamin E
kn-keyword=Vitamin E
en-keyword=Antioxidant vitamin
kn-keyword=Antioxidant vitamin
en-keyword=Metal complex
kn-keyword=Metal complex
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250418
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Innovations in paper-based analytical devices and portable absorption photometers for onsite analysis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Two types of analytical instruments and devices—one sophisticated high-performance instrument and another portable device—have been the focus of recent trends in analytical science. The necessity of point-of-care testing and onsite analysis has accelerated the advancement of high-performance, user-friendly portable analytical devices such as paper-based analytical devices (PADs) and light-emitting diode-based portable photometers. In this review, we summarize our achievements in the study of PADs and portable photometers. Several types of PADs are capable of performing titrations, metal ion analysis, and food analysis, while photometers, which consist of paired emitter–detector light-emitting diode (PEDD) photometers, are used for thiocyanate and herbicide analysis. These PADs and photometers permit the onsite determination of real environmental, body fluid, and food samples when an equipped laboratory is unavailable.
en-copyright=
kn-copyright=
en-aut-name=SeetasangSasikarn
en-aut-sei=Seetasang
en-aut-mei=Sasikarn
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=UmedaMika I.
en-aut-sei=Umeda
en-aut-mei=Mika I.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=RenJianchao
en-aut-sei=Ren
en-aut-mei=Jianchao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KanetaTakashi
en-aut-sei=Kaneta
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Chemistry, Faculty of Science and Technology, Thammasat University
kn-affil=
affil-num=2
en-affil=Department of Chemistry, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Chemistry, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Chemistry, Okayama University
kn-affil=
en-keyword=Point-of-care testing
kn-keyword=Point-of-care testing
en-keyword=Onsite analysis
kn-keyword=Onsite analysis
en-keyword=Paper-based analytical device
kn-keyword=Paper-based analytical device
en-keyword=Paired emitter–detector light-emitting diode
kn-keyword=Paired emitter–detector light-emitting diode
en-keyword=Photometer
kn-keyword=Photometer
en-keyword=Environmental analysis
kn-keyword=Environmental analysis
en-keyword=Food analysis
kn-keyword=Food analysis
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=7
article-no=
start-page=808
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250630
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Carnosol, a Rosemary Ingredient Discovered in a Screen for Inhibitors of SARM1-NAD+ Cleavage Activity, Ameliorates Symptoms of Peripheral Neuropathy
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Sterile alpha and Toll/interleukin receptor motif-containing protein 1 (SARM1) is a nicotinamide adenine dinucleotide (NAD+) hydrolase involved in axonal degeneration and neuronal cell death. SARM1 plays a pivotal role in triggering the neurodegenerative processes that underlie peripheral neuropathies, traumatic brain injury, and neurodegenerative diseases. Importantly, SARM1 knockdown or knockout prevents the degeneration; as a result, SARM1 has been attracting attention as a potent therapeutic target. In recent years, the development of several SARM1 inhibitors derived from synthetic chemical compounds has been reported; however, no dietary ingredients with SARM1 inhibitory activity have been identified. Therefore, we here focused on dietary ingredients and found that carnosol, an antioxidant contained in rosemary, inhibits the NAD+-cleavage activity of SARM1. Purified carnosol inhibited the enzymatic activity of SARM1 and suppressed neurite degeneration and cell death induced by the anti-cancer medicine vincristine (VCR). Carnosol also inhibited VCR-induced hyperalgesia symptoms, suppressed the loss of intra-epidermal nerve fibers in vivo, and reduced the blood fluid level of phosphorylated neurofilament-H caused by an axonal degeneration event. These results indicate that carnosol has a neuroprotective effect via SARM1 inhibition in addition to its previously known antioxidant effect via NF-E2-related factor 2 and thus suppresses neurotoxin-induced peripheral neuropathy.
en-copyright=
kn-copyright=
en-aut-name=MurataHitoshi
en-aut-sei=Murata
en-aut-mei=Hitoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=OgawaKazuki
en-aut-sei=Ogawa
en-aut-mei=Kazuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YasuiYu
en-aut-sei=Yasui
en-aut-mei=Yu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=OchiToshiki
en-aut-sei=Ochi
en-aut-mei=Toshiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TomonobuNahoko
en-aut-sei=Tomonobu
en-aut-mei=Nahoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=YamamotoKen-Ichi
en-aut-sei=Yamamoto
en-aut-mei=Ken-Ichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KinoshitaRie
en-aut-sei=Kinoshita
en-aut-mei=Rie
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=WadaYoji
en-aut-sei=Wada
en-aut-mei=Yoji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=NakamuraHiromichi
en-aut-sei=Nakamura
en-aut-mei=Hiromichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=NishiboriMasahiro
en-aut-sei=Nishibori
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=SakaguchiMasakiyo
en-aut-sei=Sakaguchi
en-aut-mei=Masakiyo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
affil-num=1
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Tama Biochemical Co., Ltd.
kn-affil=
affil-num=3
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Tama Biochemical Co., Ltd.
kn-affil=
affil-num=9
en-affil=Tama Biochemical Co., Ltd.
kn-affil=
affil-num=10
en-affil=Department of Translational Research and Drug Development, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=11
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=SARM1
kn-keyword=SARM1
en-keyword=carnosol
kn-keyword=carnosol
en-keyword=NAD+
kn-keyword=NAD+
en-keyword=axon degeneration
kn-keyword=axon degeneration
en-keyword=peripheral neuropathy
kn-keyword=peripheral neuropathy
END
start-ver=1.4
cd-journal=joma
no-vol=22
cd-vols=
no-issue=4
article-no=
start-page=510
end-page=524
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250626
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=C1orf50 Drives Malignant Melanoma Progression Through the Regulation of Stemness
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background/Aim: Recent advancements in omics analysis have significantly enhanced our understanding of the molecular pathology of malignant melanoma, leading to the development of novel therapeutic strategies that target specific vulnerabilities within the disease. Despite these improvements, the factors contributing to the poor prognosis of patients with malignant melanoma remain incompletely understood. The aim of this study was to investigate the role of C1orf50 (Chromosome 1 open reading frame 50), a gene previously of unknown function, as a prognostic biomarker in melanoma.
Materials and Methods: We performed comprehensive transcriptome data analysis and subsequent functional validation of the human Skin Cutaneous Melanoma project from The Cancer Genome Atlas (TCGA).
Results: Elevated expression levels of C1orf50 correlated with worse survival outcomes. Mechanistically, we revealed that C1orf50 plays a significant role in the regulation of cell cycle processes and cancer cell stemness, providing a potential avenue for novel therapeutic interventions in melanoma.
Conclusion: This study is the first to identify C1orf50 as a prognostic biomarker in melanoma. The clinical relevance of our results sheds light on the importance of further investigation into the biological mechanisms underpinning C1orf50’s impact on melanoma progression and patient prognosis.
en-copyright=
kn-copyright=
en-aut-name=OTANIYUSUKE
en-aut-sei=OTANI
en-aut-mei=YUSUKE
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MAEKAWAMASAKI
en-aut-sei=MAEKAWA
en-aut-mei=MASAKI
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=TANAKAATSUSHI
en-aut-sei=TANAKA
en-aut-mei=ATSUSHI
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=PEÑATIRSO
en-aut-sei=PEÑA
en-aut-mei=TIRSO
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=CHINVANESSA D.
en-aut-sei=CHIN
en-aut-mei=VANESSA D.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=ROGACHEVSKAYAANNA
en-aut-sei=ROGACHEVSKAYA
en-aut-mei=ANNA
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=TOYOOKASHINICHI
en-aut-sei=TOYOOKA
en-aut-mei=SHINICHI
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=ROEHRLMICHAEL H.
en-aut-sei=ROEHRL
en-aut-mei=MICHAEL H.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=FUJIMURAATSUSHI
en-aut-sei=FUJIMURA
en-aut-mei=ATSUSHI
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
affil-num=1
en-affil=Department of Pathology, Beth Israel Deaconess Medical Center
kn-affil=
affil-num=2
en-affil=Department of Pathology, Beth Israel Deaconess Medical Center
kn-affil=
affil-num=3
en-affil=Department of Pathology, Beth Israel Deaconess Medical Center
kn-affil=
affil-num=4
en-affil=Department of Pathology, Beth Israel Deaconess Medical Center
kn-affil=
affil-num=5
en-affil=UMass Chan Medical School, UMass Memorial Medical Center
kn-affil=
affil-num=6
en-affil=Department of Pathology, Beth Israel Deaconess Medical Center
kn-affil=
affil-num=7
en-affil=Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Pathology, Beth Israel Deaconess Medical Center
kn-affil=
affil-num=9
en-affil=Department of Cellular Physiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=C1orf50
kn-keyword=C1orf50
en-keyword=melanoma
kn-keyword=melanoma
en-keyword=cancer stem cells
kn-keyword=cancer stem cells
en-keyword=YAP/TAZ
kn-keyword=YAP/TAZ
END
start-ver=1.4
cd-journal=joma
no-vol=91
cd-vols=
no-issue=946
article-no=
start-page=24-00128
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=2025
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Development of a guideline proposal system for correcting cutting conditions based on the overhang length of ball end-mills
kn-title=ボールエンドミルの突き出し長さに応じた切削条件補正システムの開発
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In the field of die and mold machining, determining appropriate cutting conditions is crucial. Factors such as tool geometry, machining path, work material characteristics, machining efficiency, and finishing accuracy must be taken into consideration. However, the current method of determining cutting conditions relies heavily on the intuition and experience of skilled engineers, and there is a need for a system to replace such knowledge. One of the critical factors affecting machining accuracy and efficiency is the tool overhang length, which is directly related to tool geometry. Unfortunately, there is no clear guideline for its determination. In a previous study, researchers developed a system to quickly derive cutting conditions using a data mining method and Random Forest Regression (RFR) applied to a tool catalog database. In this study, we constructed a new cutting condition compensation system based on the existing model, which accounts for the tool overhang length. The results of cutting experiments under high aspect ratio overhang lengths confirm that the correction coefficients proposed by the system are significant.
en-copyright=
kn-copyright=
en-aut-name=KODAMAHiroyuki
en-aut-sei=KODAMA
en-aut-mei=Hiroyuki
kn-aut-name=児玉紘幸
kn-aut-sei=児玉
kn-aut-mei=紘幸
aut-affil-num=1
ORCID=
en-aut-name=MORIYAYuki
en-aut-sei=MORIYA
en-aut-mei=Yuki
kn-aut-name=守屋祐輝
kn-aut-sei=守屋
kn-aut-mei=祐輝
aut-affil-num=2
ORCID=
en-aut-name=MORIMOTOTatsuo
en-aut-sei=MORIMOTO
en-aut-mei=Tatsuo
kn-aut-name=盛元達雄
kn-aut-sei=盛元
kn-aut-mei=達雄
aut-affil-num=3
ORCID=
en-aut-name=OHASHIKazuhito
en-aut-sei=OHASHI
en-aut-mei=Kazuhito
kn-aut-name=大橋一仁
kn-aut-sei=大橋
kn-aut-mei=一仁
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=岡山大学 学術研究院環境生命自然科学学域
affil-num=2
en-affil=Graduate school of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=岡山大学 大学院環境生命自然科学研究科
affil-num=3
en-affil=Graduate school of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=岡山大学 大学院環境生命自然科学研究科
affil-num=4
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=岡山大学 学術研究院環境生命自然科学学域
en-keyword=Data mining
kn-keyword=Data mining
en-keyword=Cutting conditions
kn-keyword=Cutting conditions
en-keyword=Machine learning
kn-keyword=Machine learning
en-keyword=Random Forest Regression
kn-keyword=Random Forest Regression
en-keyword=Ball end-mill
kn-keyword=Ball end-mill
en-keyword=Tool overhang length
kn-keyword=Tool overhang length
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250624
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Dual functions of SNAP25 in mouse taste buds
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Type III cells in mouse taste buds are considered to transmit aversive stimuli, such as sourness, to the gustatory nerve through vesicular synapses. Synaptosome-associated protein 25 (SNAP25) might contribute to synaptic vesicular release in sour sensation, although direct evidence has been lacking. Here, we demonstrated that epithelia-specific Snap25 conditional knockout (cKO) mice exhibited a significant reduction in the number of type III cells. Notably, the proportion of 5-ethynyl 2′-deoxyuridine-positive post-mitotic type III cells in Snap25 cKO mice was significantly lower on tracing day 14, but not at day 7, which suggests that SNAP25 contributes to the maintenance of type III cells. In a short-term lick test, Snap25 cKO (sour taste absent) and Snap25/ transient receptor potential vanilloid 1 double KO (sour taste and somatosensory absent) mice exhibit a significantly higher lick response to sour tastants, confirming the role of SNAP25 for sour sensation. Electrophysiological recordings of the chorda tympani nerve reveal nearly abolished ammonium and sour taste responses in Snap25 cKO mice, which concludes sour-dependent synapse transmission in type III cells. Overall, these data suggest that vesicular synapses in taste buds are indispensable for transmission of information from, and the replenishment of, sour-sensitive type III taste cells.
en-copyright=
kn-copyright=
en-aut-name=HorieKengo
en-aut-sei=Horie
en-aut-mei=Kengo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WangKuanyu
en-aut-sei=Wang
en-aut-mei=Kuanyu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HuangHai
en-aut-sei=Huang
en-aut-mei=Hai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=YasumatsuKeiko
en-aut-sei=Yasumatsu
en-aut-mei=Keiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NinomiyaYuzo
en-aut-sei=Ninomiya
en-aut-mei=Yuzo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MitohYoshihiro
en-aut-sei=Mitoh
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=YoshidaRyusuke
en-aut-sei=Yoshida
en-aut-mei=Ryusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Tokyo Dental Junior College
kn-affil=
affil-num=5
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=sour taste
kn-keyword=sour taste
en-keyword=synapse
kn-keyword=synapse
en-keyword=taste buds
kn-keyword=taste buds
en-keyword=taste nerve
kn-keyword=taste nerve
en-keyword=Type III cells
kn-keyword=Type III cells
END
start-ver=1.4
cd-journal=joma
no-vol=301
cd-vols=
no-issue=7
article-no=
start-page=110291
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202507
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A repertoire of visible light–sensitive opsins in the deep-sea hydrothermal vent shrimp Rimicaris hybisae
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Unlike terrestrial environments, where humans reside, there is no sunlight in the deep sea. Instead, dim visible light from black-body radiation and bioluminescence illuminates hydrothermal vent areas in the deep sea. A deep-sea hydrothermal vent shrimp, Rimicaris hybisae, is thought to detect this dim light using its enlarged dorsal eye; however, the molecular basis of its photoreception remains unexplored. Here, we characterized the molecular properties of opsins, universal photoreceptive proteins in animals, found in R. hybisae. Transcriptomic analysis identified six opsins: three Gq-coupled opsins, one Opn3, one Opn5, and one peropsin. Functional analysis revealed that five of these opsins exhibited light-dependent G protein activity, whereas peropsin exhibited the ability to convert all-trans-retinal to 11-cis-retinal like photoisomerases. Notably, all the R. hybisae opsins, including Opn5, convergently show visible light sensitivity (around 457–517 nm), whereas most opsins categorized as Opn5 have been demonstrated to be UV sensitive. Mutational analysis revealed that the unique visible light sensitivity of R. hybisae Opn5 is achieved through the stabilization of a protonated Schiff base by a counterion residue at position 83 (Asp83), which differs from the position identified in other opsins. These findings suggest that the vent shrimp R. hybisae has adapted its photoreceptive devices to dim deep-sea hydrothermal light by selectively maintaining a repertoire of visible light–sensitive opsins, including the uniquely tuned Opn5.
en-copyright=
kn-copyright=
en-aut-name=NagataYuya
en-aut-sei=Nagata
en-aut-mei=Yuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MiyamotoNorio
en-aut-sei=Miyamoto
en-aut-mei=Norio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=SatoKeita
en-aut-sei=Sato
en-aut-mei=Keita
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=NishimuraYosuke
en-aut-sei=Nishimura
en-aut-mei=Yosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TaniokaYuki
en-aut-sei=Tanioka
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=YamanakaYuji
en-aut-sei=Yamanaka
en-aut-mei=Yuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=YoshizawaSusumu
en-aut-sei=Yoshizawa
en-aut-mei=Susumu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=TakahashiKuto
en-aut-sei=Takahashi
en-aut-mei=Kuto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=ObayashiKohei
en-aut-sei=Obayashi
en-aut-mei=Kohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=TsukamotoHisao
en-aut-sei=Tsukamoto
en-aut-mei=Hisao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=TakaiKen
en-aut-sei=Takai
en-aut-mei=Ken
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=OhuchiHideyo
en-aut-sei=Ohuchi
en-aut-mei=Hideyo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=YamashitaTakahiro
en-aut-sei=Yamashita
en-aut-mei=Takahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=SudoYuki
en-aut-sei=Sudo
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=KojimaKeiichi
en-aut-sei=Kojima
en-aut-mei=Keiichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Institute for Extra-Cutting-Edge Science and Technology Avant-Garde Research (X-Star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
kn-affil=
affil-num=3
en-affil=Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Research Center for Bioscience and Nanoscience (CeBN), Research Institute for Marine Resources Utilization, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
kn-affil=
affil-num=5
en-affil=School of Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=School of Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Atmosphere and Ocean Research Institute, The University of Tokyo
kn-affil=
affil-num=8
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Department of Biology, Graduate School of Science, Kobe University
kn-affil=
affil-num=10
en-affil=Department of Biology, Graduate School of Science, Kobe University
kn-affil=
affil-num=11
en-affil=Institute for Extra-Cutting-Edge Science and Technology Avant-Garde Research (X-Star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
kn-affil=
affil-num=12
en-affil=Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=13
en-affil=Department of Biophysics, Graduate School of Science, Kyoto University
kn-affil=
affil-num=14
en-affil=Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=15
en-affil=Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=rhodopsin
kn-keyword=rhodopsin
en-keyword=opsin
kn-keyword=opsin
en-keyword=G protein–coupled receptor
kn-keyword=G protein–coupled receptor
en-keyword=signal transduction
kn-keyword=signal transduction
en-keyword=photoreceptor
kn-keyword=photoreceptor
en-keyword=vision
kn-keyword=vision
en-keyword=photobiology
kn-keyword=photobiology
en-keyword=vent shrimp
kn-keyword=vent shrimp
en-keyword=deep sea
kn-keyword=deep sea
en-keyword=molecular evolution
kn-keyword=molecular evolution
END
start-ver=1.4
cd-journal=joma
no-vol=25
cd-vols=
no-issue=12
article-no=
start-page=3780
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250617
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Effects of Sampling Frequency on Human Activity Recognition with Machine Learning Aiming at Clinical Applications
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Human activity recognition using wearable accelerometer data can be a useful digital biomarker for severity assessment and the diagnosis of diseases, where the relationship between onset and patient activity is crucial. For long-term monitoring in clinical settings, the volume of data collected over time should be minimized to reduce power consumption, computational load, and communication volume. This study aimed to determine the lowest sampling frequency that maintains recognition accuracy for each activity. Thirty healthy participants wore nine-axis accelerometer sensors at five body locations and performed nine activities. Machine-learning-based activity recognition was conducted using data sampled at 100, 50, 25, 20, 10, and 1 Hz. Data from the non-dominant wrist and chest, which have previously shown high recognition accuracy, were used. Reducing the sampling frequency to 10 Hz did not significantly affect the recognition accuracy for either location. However, lowering the frequency to 1 Hz decreases the accuracy of many activities, particularly brushing teeth. Using data with a 10 Hz sampling frequency can maintain recognition accuracy while decreasing data volume, enabling long-term patient monitoring and device miniaturization for clinical applications.
en-copyright=
kn-copyright=
en-aut-name=YamaneTakahiro
en-aut-sei=Yamane
en-aut-mei=Takahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KimuraMoeka
en-aut-sei=Kimura
en-aut-mei=Moeka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MoritaMizuki
en-aut-sei=Morita
en-aut-mei=Mizuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Biomedical Informatics, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Faculty of Health Sciences, Okayama University Medical School
kn-affil=
affil-num=3
en-affil=Department of Biomedical Informatics, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=wearable devices
kn-keyword=wearable devices
en-keyword=machine learning
kn-keyword=machine learning
en-keyword=human activity recognition
kn-keyword=human activity recognition
en-keyword=sampling frequency
kn-keyword=sampling frequency
en-keyword=digital health
kn-keyword=digital health
en-keyword=digital biomarkers
kn-keyword=digital biomarkers
END
start-ver=1.4
cd-journal=joma
no-vol=166
cd-vols=
no-issue=8
article-no=
start-page=bqaf102
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250605
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Neuromedin U Deficiency Disrupts Daily Testosterone Fluctuation and Reduces Wheel-running Activity in Rats
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The objective of this study was to elucidate the role of endogenous Neuromedin U (NMU) in rats by performing NMU knockout (KO). Male, but not female NMU KO rats exhibited decreased wheel-running activity vs wildtype (WT), although overall home cage activity was not affected. Plasma testosterone in WT rats varied significantly over the course of a day, with a peak at ZT1 and a nadir at ZT18, whereas in NMU KO rats testosterone remained stable throughout the day. Chronic administration of testosterone restored wheel-running activity in NMU KO rats to the same level as in WT rats, suggesting that the decrease in wheel-running activity in NMU KO rats is due to the disruption of the diurnal change of testosterone. Accordingly, expression of the luteinizing hormone beta subunit (Lhb) mRNA in the pars distalis of anterior pituitary was significantly lower in NMU KO rats; immunostaining revealed that the size of luteinizing hormone (LH)–expressing cells was also relatively small in those animals. In the brain of male WT rats, Nmu was highly expressed in the pars tuberalis, and the NMU receptor Nmur2 was highly expressed in the ependymal cell layer of the third ventricle. This study reveals a novel function of NMU and indicates that endogenous NMU in rats plays a role in the regulation of motivated activity via regulation of testosterone.
en-copyright=
kn-copyright=
en-aut-name=OtsukaMai
en-aut-sei=Otsuka
en-aut-mei=Mai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TakeuchiYu
en-aut-sei=Takeuchi
en-aut-mei=Yu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MoriyamaMaho
en-aut-sei=Moriyama
en-aut-mei=Maho
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=EgoshiSakura
en-aut-sei=Egoshi
en-aut-mei=Sakura
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=GotoYuki
en-aut-sei=Goto
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=GuTingting
en-aut-sei=Gu
en-aut-mei=Tingting
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KimuraAtsushi P
en-aut-sei=Kimura
en-aut-mei=Atsushi P
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=HaraguchiShogo
en-aut-sei=Haraguchi
en-aut-mei=Shogo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=YoshiiTaishi
en-aut-sei=Yoshii
en-aut-mei=Taishi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=TakeuchiSakae
en-aut-sei=Takeuchi
en-aut-mei=Sakae
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=MatsuyamaMakoto
en-aut-sei=Matsuyama
en-aut-mei=Makoto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=BentleyGeorge E
en-aut-sei=Bentley
en-aut-mei=George E
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=AizawaSayaka
en-aut-sei=Aizawa
en-aut-mei=Sayaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Biology, Faculty of Science, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Biological Sciences, Faculty of Science, Hokkaido University
kn-affil=
affil-num=8
en-affil=Department of Biochemistry, Showa University School of Medicine
kn-affil=
affil-num=9
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=10
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=11
en-affil=Division of Molecular Genetics, Shigei Medical Research Institute
kn-affil=
affil-num=12
en-affil=Department of Integrative Biology and Helen Wills Neuroscience Institute, University of California at Berkeley
kn-affil=
affil-num=13
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Neuromedin U
kn-keyword=Neuromedin U
en-keyword=rat
kn-keyword=rat
en-keyword=motivation
kn-keyword=motivation
en-keyword=activity
kn-keyword=activity
en-keyword=testosterone
kn-keyword=testosterone
en-keyword=wheel-running
kn-keyword=wheel-running
END
start-ver=1.4
cd-journal=joma
no-vol=26
cd-vols=
no-issue=6
article-no=
start-page=e70119
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250519
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Quantitative quality control of 3D water tank using image analysis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background and objective: Accurate beam data acquisition using three-dimensional (3D) water tanks is essential for beam commissioning and quality control (QC) in clinical radiation therapy. This study introduces a novel method for quantitative QC of the system, utilizing MV images and webcam videos. The stability of the motor drive speed and the positional accuracy of the fixture were evaluated under two measurement modes: “continuous mode” and “step-by-step mode.”
Methods: A TRUFIX mounting system (PTW Freiburg Inc., Germany) was used to attach the center of the steel ball to its top, ensuring alignment with the water surface of the tank. To assess deviations from the radiation isocenter, MV images were acquired and compared with digitally reconstructed radiographs (DRRs). These evaluations were performed at different speed settings (slow, medium, and fast) using ET CT Body Marker (BRAINLAB Inc., USA) mounted on the drive unit. A webcam was utilized to capture the images, and custom-developed tracking software was employed to analyze deviations in driving speed and positional errors.
Results: The mean error of the radiation isocenter was 0.37 ± 0.09 mm. As the motor drive speed increased, the discrepancy between the set speed and the actual speed observed in the analysis also became larger. In “continuous mode,” the deviation from the displayed value was greater than that observed in “step-by-step mode.”
Conclusion: It is demonstrated that the proposed analysis method can quantitatively evaluate radiation isocenter misalignment, tank setup position deviation, and both the indicated drive speed values and their stability. At higher drive speeds, the “step-by-step mode” showed smaller deviations from the indicated values.
en-copyright=
kn-copyright=
en-aut-name=TanimotoYuki
en-aut-sei=Tanimoto
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SugimotoKohei
en-aut-sei=Sugimoto
en-aut-mei=Kohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KoshiKazunobu
en-aut-sei=Koshi
en-aut-mei=Kazunobu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HiroshigeAkira
en-aut-sei=Hiroshige
en-aut-mei=Akira
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YoshidaShohei
en-aut-sei=Yoshida
en-aut-mei=Shohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=FujitaYoshiki
en-aut-sei=Fujita
en-aut-mei=Yoshiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=NakahiraAtsuki
en-aut-sei=Nakahira
en-aut-mei=Atsuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NakanishiDaiki
en-aut-sei=Nakanishi
en-aut-mei=Daiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=HondaHirofumi
en-aut-sei=Honda
en-aut-mei=Hirofumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=OitaMasataka
en-aut-sei=Oita
en-aut-mei=Masataka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Department of Radiology, NHO Kure Medical Center and Chugoku Cancer Center
kn-affil=
affil-num=2
en-affil=Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare
kn-affil=
affil-num=3
en-affil=Department of Radiology, NHO Fukuyama Medical Center
kn-affil=
affil-num=4
en-affil=Department of Radiology, NHO Shikoku Cancer Center
kn-affil=
affil-num=5
en-affil=Department of Radiology, NHO Shikoku Cancer Center
kn-affil=
affil-num=6
en-affil=Department of Radiology, NHO Shikoku Cancer Center
kn-affil=
affil-num=7
en-affil=Department of Radiology, NHO Shikoku Cancer Center
kn-affil=
affil-num=8
en-affil=Division of Radiology, Department of Medical Technology, Kyushu University Hospital
kn-affil=
affil-num=9
en-affil=Department of Radiological Technology, Ehime University Hospital
kn-affil=
affil-num=10
en-affil=Department of Healthcare Science, Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=3D water tank
kn-keyword=3D water tank
en-keyword=drive speed stability
kn-keyword=drive speed stability
en-keyword=quality control
kn-keyword=quality control
en-keyword=radiation isocenter
kn-keyword=radiation isocenter
en-keyword=x-ray image analysis
kn-keyword=x-ray image analysis
END
start-ver=1.4
cd-journal=joma
no-vol=70
cd-vols=
no-issue=5
article-no=
start-page=733
end-page=747
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202503
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A PRA-Rab trafficking machinery modulates NLR immune receptor plasma membrane microdomain anchoring and blast resistance in rice
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nucleotide-binding leucine-rich repeat (NLR) receptors mediate pathogen effector-triggered immunity (ETI) in plants, and a subclass of NLRs are hypothesized to function at the plasma membrane (PM). However, how NLR traffic and PM delivery are regulated during immune responses remains largely unknown. The rice NLR PigmR confers broad-spectrum resistance to the blast fungus Magnaporthe oryzae. Here, we report that a PRA (Prenylated Rab acceptor) protein, PIBP4 (PigmR-INTERACTING and BLAST RESISTANCE PROTEIN 4), interacts with both PigmR and the active form of the Rab GTPase, OsRab5a, thereby loads a portion of PigmR on trafficking vesicles that target to PM microdomains. Microdomain-localized PigmR interacts with and activates the small GTPase OsRac1, which triggers reactive oxygen species signaling and hypersensitive response, leading to immune responses against blast infection. Thus, our study discovers a previously unknown mechanism that deploys a PRA-Rab protein delivering hub to ensure ETI, linking the membrane trafficking machinery with NLR function and immune activation in plants.
en-copyright=
kn-copyright=
en-aut-name=LiangDi
en-aut-sei=Liang
en-aut-mei=Di
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YangDongyong
en-aut-sei=Yang
en-aut-mei=Dongyong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=LiTai
en-aut-sei=Li
en-aut-mei=Tai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ZhuZhe
en-aut-sei=Zhu
en-aut-mei=Zhe
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YanBingxiao
en-aut-sei=Yan
en-aut-mei=Bingxiao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=HeYang
en-aut-sei=He
en-aut-mei=Yang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=LiXiaoyuan
en-aut-sei=Li
en-aut-mei=Xiaoyuan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=ZhaiKeran
en-aut-sei=Zhai
en-aut-mei=Keran
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=LiuJiyun
en-aut-sei=Liu
en-aut-mei=Jiyun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=KawanoYoji
en-aut-sei=Kawano
en-aut-mei=Yoji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=DengYiwen
en-aut-sei=Deng
en-aut-mei=Yiwen
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=WuXu Na
en-aut-sei=Wu
en-aut-mei=Xu Na
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=LiuJunzhong
en-aut-sei=Liu
en-aut-mei=Junzhong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=HeZuhua
en-aut-sei=He
en-aut-mei=Zuhua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
affil-num=1
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
kn-affil=
affil-num=2
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
kn-affil=
affil-num=3
en-affil=Yunnan Key Laboratory of Cell Metabolism and Diseases, State Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Center for Life Sciences, School of Life Sciences, Yunnan University
kn-affil=
affil-num=4
en-affil=Yunnan Key Laboratory of Cell Metabolism and Diseases, State Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Center for Life Sciences, School of Life Sciences, Yunnan University
kn-affil=
affil-num=5
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
kn-affil=
affil-num=6
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
kn-affil=
affil-num=7
en-affil=School of Life Science and Technology, ShanghaiTech University
kn-affil=
affil-num=8
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
kn-affil=
affil-num=9
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
kn-affil=
affil-num=10
en-affil=Institute of Plant Science and Resources, Okayama University
kn-affil=
affil-num=11
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
kn-affil=
affil-num=12
en-affil=Yunnan Key Laboratory of Cell Metabolism and Diseases, State Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Center for Life Sciences, School of Life Sciences, Yunnan University
kn-affil=
affil-num=13
en-affil=Yunnan Key Laboratory of Cell Metabolism and Diseases, State Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Center for Life Sciences, School of Life Sciences, Yunnan University
kn-affil=
affil-num=14
en-affil=CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences
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ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=295
cd-vols=
no-issue=
article-no=
start-page=128303
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20251201
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Using a microfluidic paper-based analytical device and solid-phase extraction to determine phosphate concentration
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Phosphate is an essential nutrient, but in high concentrations it contributes to water pollution. Traditional methods for phosphate measurement, such as absorption spectrophotometry and ion chromatography, require expensive equipment and skilled operators. This study introduces a microfluidic paper-based analytical device (μPAD) that is designed to accomplish field-based, low-concentration phosphate measurements. This μPAD utilizes colorimetric detection based on the molybdenum blue method. Herein, we describe how the conditions were optimized in terms of design and sensitivity by adjusting reagent concentrations, paper thickness, and the time frames for sample introduction, and reaction. The operation consists of simply dipping the μPAD into a sample, capturing images in a home-made photo studio box, and processing the images with ImageJ software to measure RGB intensity. An additional preconcentration step involves solid-phase extraction with an anion exchange resin that achieves a 10-fold enrichment, which enables detection that ranges from 0.05 to 1 mg L−1 with a detection limit of 0.089 mg L−1 and a quantification limit of 0.269 mg L−1. The replicated measurements showed good reproducibility both intraday and interday (five different days) as 4.7 % and 3.0 % of relative standard deviations, respectively. After storage in a refrigerator for as long as 26 days, this μPAD delivered stable and accurate results for real-world samples of natural water, soil, and toothpaste. The results produced using this system correlate well with those produced via spectrophotometry. This μPAD-based method is a cost-effective, portable, rapid, and simple approach that allows relatively unskilled operators to monitor phosphate concentrations in field applications.
en-copyright=
kn-copyright=
en-aut-name=DanchanaKaewta
en-aut-sei=Danchana
en-aut-mei=Kaewta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NambaHaruka
en-aut-sei=Namba
en-aut-mei=Haruka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KanetaTakashi
en-aut-sei=Kaneta
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Chemistry, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Chemistry, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Chemistry, Okayama University
kn-affil=
en-keyword=Phosphate
kn-keyword=Phosphate
en-keyword=Microfluidic paper-based analytical device
kn-keyword=Microfluidic paper-based analytical device
en-keyword=Solid-phase extraction
kn-keyword=Solid-phase extraction
en-keyword=Anion exchanger
kn-keyword=Anion exchanger
en-keyword=Molybdenum blue method
kn-keyword=Molybdenum blue method
END
start-ver=1.4
cd-journal=joma
no-vol=20
cd-vols=
no-issue=5
article-no=
start-page=e0320426
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250519
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=LeFood-set: Baseline performance of predicting level of leftovers food dataset in a hospital using MT learning
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Monitoring the remaining food in patients' trays is a routine activity in healthcare facilities as it provides valuable insights into the patients' dietary intake. However, estimating food leftovers through visual observation is time-consuming and biased. To tackle this issue, we have devised an efficient deep learning-based approach that promises to revolutionize how we estimate food leftovers. Our first step was creating the LeFoodSet dataset, a pioneering large-scale open dataset explicitly designed for estimating food leftovers. This dataset is unique in its ability to estimate leftover rates and types of food. To the best of our knowledge, this is the first comprehensive dataset for this type of analysis. The dataset comprises 524 image pairs representing 34 Indonesian food categories, each with images captured before and after consumption. Our prediction models employed a combined visual feature extraction and late fusion approach utilizing soft parameter sharing. Here, we used multi-task (MT) models that simultaneously predict leftovers and food types in training. In the experiments, we tested the single task (ST) model, the ST Model with Ground Truth (ST-GT), the MT model, and the MT model with Inter-task Connection (MT-IC). Our AI-based models, particularly the MT and MT-IC models, have shown promising results, outperforming human observation in predicting leftover food. These findings show the best with the ResNet101 model, where the Mean Average Error (MAE) of leftover task and food classification accuracy task is 0.0801 and 90.44% in the MT Model and 0.0817 and 92.56% in the MT-IC Model, respectively. It is proved that the proposed solution has a bright future for AI-based approaches in medical and nursing applications.
en-copyright=
kn-copyright=
en-aut-name=SariYuita Arum
en-aut-sei=Sari
en-aut-mei=Yuita Arum
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NakazawaAtsushi
en-aut-sei=Nakazawa
en-aut-mei=Atsushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=WaniYudi Arimba
en-aut-sei=Wani
en-aut-mei=Yudi Arimba
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Nutrition Department, Faculty of Health Sciences, Brawijaya University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=79
cd-vols=
no-issue=3
article-no=
start-page=147
end-page=155
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202506
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Immunometabolic Regulation of Innate Immunity in Systemic Lupus Erythematosus
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Pathogens or their components can induce long-lasting changes in the behavior of innate immune cells, a process analogous to “training” for future threats or environmental adaptation. However, such training can sometimes have unintended consequences, such as the development of autoimmunity. Systemic lupus erythematosus (SLE) is a chronic and heterogeneous autoimmune disease characterized by the production of autoantibodies and progressive organ damage. Innate immunity plays a central role in its pathogenesis, contributing through impaired clearance of apoptotic cells, excessive type I interferon production, and dysregulated formation of neutrophil extracellular traps. Recent studies have revealed that metabolites and nucleic acids derived from mitochondria, a crucial energy production site, directly regulate type I interferon and anti-inflammatory cytokine production. These insights have fueled interest in targeting metabolic pathways as a novel therapeutic approach for SLE, offering promise for improving long-term patient outcomes.
en-copyright=
kn-copyright=
en-aut-name=WatanabeHaruki
en-aut-sei=Watanabe
en-aut-mei=Haruki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MatsumotoYoshinori
en-aut-sei=Matsumoto
en-aut-mei=Yoshinori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=WadaJun
en-aut-sei=Wada
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=systemic lupus erythematosus
kn-keyword=systemic lupus erythematosus
en-keyword=interferon
kn-keyword=interferon
en-keyword=tricarboxylic acid cycle
kn-keyword=tricarboxylic acid cycle
en-keyword=innate immune memory
kn-keyword=innate immune memory
en-keyword=trained immunity
kn-keyword=trained immunity
END
start-ver=1.4
cd-journal=joma
no-vol=8
cd-vols=
no-issue=1
article-no=
start-page=715
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250508
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=TRPV2 mediates stress resilience in mouse cardiomyocytes
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The heart dynamically compensates for haemodynamic stress, but how this resilience forms during cardiac growth is not clear. Using a temporally inducible, cardiac-specific knockout in mice we show that the Transient receptor potential vanilloid family 2 (TRPV2) channel is crucial for the maturation of cardiomyocyte stress resilience. TRPV2 defects in growing hearts lead to small morphology, abnormal intercalated discs, weak contractility, and low expression of serum response factor and Insulin-like growth factor-1 (IGF-1) signalling. Individual cardiomyocytes of TRPV2-deficient hearts show reduced contractility with abnormal Ca2+ handling. In cultured neonatal cardiomyocytes, mechanical Ca2+ response, excitation-contraction coupling, sarcoplasmic reticulum Ca2+ content, actin formation, nuclear localisation of Myocyte enhancer factor 2c, and IGF-1 expression require TRPV2. TRPV2-deficient hearts show a defective response to dobutamine stress and no compensatory hypertrophic response to phenylephrine administration, but no stress response to pressure overload. These data suggest TRPV2 mediates the maturation of cardiomyocyte stress resilience, and will advance therapeutic interventions and drug discovery for heart disease.
en-copyright=
kn-copyright=
en-aut-name=DongYubing
en-aut-sei=Dong
en-aut-mei=Yubing
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WangGuohao
en-aut-sei=Wang
en-aut-mei=Guohao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=UjiharaYoshihiro
en-aut-sei=Ujihara
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ChenYanzhu
en-aut-sei=Chen
en-aut-mei=Yanzhu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YoshidaMasashi
en-aut-sei=Yoshida
en-aut-mei=Masashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=NakamuraKazufumi
en-aut-sei=Nakamura
en-aut-mei=Kazufumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KatanosakaKimiaki
en-aut-sei=Katanosaka
en-aut-mei=Kimiaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NaruseKeiji
en-aut-sei=Naruse
en-aut-mei=Keiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=KatanosakaYuki
en-aut-sei=Katanosaka
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
affil-num=1
en-affil=Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology
kn-affil=
affil-num=4
en-affil=Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Chronic Kidney Disease and Cardiovascular Disease, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Cardiovascular Medicine, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Biomedical Sciences, College of Life and Health Sciences, Chubu University
kn-affil=
affil-num=8
en-affil=Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=1
article-no=
start-page=2323
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250308
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A mini-hairpin shaped nascent peptide blocks translation termination by a distinct mechanism
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Protein synthesis by ribosomes produces functional proteins but also serves diverse regulatory functions, which depend on the coding amino acid sequences. Certain nascent peptides interact with the ribosome exit tunnel to arrest translation and modulate themselves or the expression of downstream genes. However, a comprehensive understanding of the mechanisms of such ribosome stalling and its regulation remains elusive. In this study, we systematically screen for unidentified ribosome arrest peptides through phenotypic evaluation, proteomics, and mass spectrometry analyses, leading to the discovery of the arrest peptides PepNL and NanCL in E. coli. Our cryo-EM study on PepNL reveals a distinct arrest mechanism, in which the N-terminus of PepNL folds back towards the tunnel entrance to prevent the catalytic GGQ motif of the release factor from accessing the peptidyl transferase center, causing translation arrest at the UGA stop codon. Furthermore, unlike sensory arrest peptides that require an arrest inducer, PepNL uses tryptophan as an arrest inhibitor, where Trp-tRNATrp reads through the stop codon. Our findings illuminate the mechanism and regulatory framework of nascent peptide-induced translation arrest, paving the way for exploring regulatory nascent peptides.
en-copyright=
kn-copyright=
en-aut-name=AndoYushin
en-aut-sei=Ando
en-aut-mei=Yushin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KoboAkinao
en-aut-sei=Kobo
en-aut-mei=Akinao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NiwaTatsuya
en-aut-sei=Niwa
en-aut-mei=Tatsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=YamakawaAyako
en-aut-sei=Yamakawa
en-aut-mei=Ayako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KonomaSuzuna
en-aut-sei=Konoma
en-aut-mei=Suzuna
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KobayashiYuki
en-aut-sei=Kobayashi
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=NurekiOsamu
en-aut-sei=Nureki
en-aut-mei=Osamu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=TaguchiHideki
en-aut-sei=Taguchi
en-aut-mei=Hideki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=ItohYuzuru
en-aut-sei=Itoh
en-aut-mei=Yuzuru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=ChadaniYuhei
en-aut-sei=Chadani
en-aut-mei=Yuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Department of Biological Sciences, Graduate School of Science, The University of Tokyo
kn-affil=
affil-num=2
en-affil=School of Life Science and Technology, Institute of Science Tokyo
kn-affil=
affil-num=3
en-affil=School of Life Science and Technology, Institute of Science Tokyo
kn-affil=
affil-num=4
en-affil=School of Life Science and Technology, Institute of Science Tokyo
kn-affil=
affil-num=5
en-affil=School of Life Science and Technology, Institute of Science Tokyo
kn-affil=
affil-num=6
en-affil=School of Life Science and Technology, Institute of Science Tokyo
kn-affil=
affil-num=7
en-affil=Department of Biological Sciences, Graduate School of Science, The University of Tokyo
kn-affil=
affil-num=8
en-affil=School of Life Science and Technology, Institute of Science Tokyo
kn-affil=
affil-num=9
en-affil=Department of Biological Sciences, Graduate School of Science, The University of Tokyo
kn-affil=
affil-num=10
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=4
article-no=
start-page=139
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250402
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Implementation of Creep Test Assisting System with Dial Gauge Needle Reading and Smart Lighting Function for Laboratory Automation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=For decades, analog dial gauges have been essential for measuring and monitoring data at various industrial instruments including production machines and laboratory equipment. Among them, we focus on the instrument for creep test in a mechanical engineering laboratory, which evaluates material strength under sustained stress. Manual reading of gauges imposes significant labor demands, especially in long-duration tests. This burden further increases under low-lighting environments, where poor visibility can lead to misreading data points, potentially compromising the accuracy of test results. In this paper, to address the challenges, we implement a creep test assisting system that possesses the following features: (1) to save the installation cost, a web camera and Raspberry Pi are employed to capture images of the dial gauge and automate the needle reading by image processing in real time, (2) to ensure reliability under low-lighting environments, a smart lighting mechanism is integrated to turn on a supplementary light when the dial gauge is not clearly visible, and (3) to allow a user to stay in a distant place from the instrument during a creep test, material break is detected and the corresponding message is notified to a laboratory staff using LINE automatically. For evaluations, we install the implemented system into a material strength measuring instrument at Okayama University, Japan, and confirm the effectiveness and accuracy through conducting experiments under various lighting conditions.
en-copyright=
kn-copyright=
en-aut-name=KongDezheng
en-aut-sei=Kong
en-aut-mei=Dezheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FangShihao
en-aut-sei=Fang
en-aut-mei=Shihao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=NopriantoMitsuhiro
en-aut-sei=Noprianto
en-aut-mei=Mitsuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=OkayasuMitsuhiro
en-aut-sei=Okayasu
en-aut-mei=Mitsuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=PuspitaningayuPradini
en-aut-sei=Puspitaningayu
en-aut-mei=Pradini
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Electrical Engineering, Universitas Negeri Surabaya
kn-affil=
en-keyword=creep test
kn-keyword=creep test
en-keyword=Raspberry Pi
kn-keyword=Raspberry Pi
en-keyword=dial gauge
kn-keyword=dial gauge
en-keyword=needle reading
kn-keyword=needle reading
en-keyword=smart lighting
kn-keyword=smart lighting
END
start-ver=1.4
cd-journal=joma
no-vol=25
cd-vols=
no-issue=7
article-no=
start-page=2221
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250401
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Length Estimation of Pneumatic Artificial Muscle with Optical Fiber Sensor Using Machine Learning
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A McKibben artificial muscle is a soft actuator driven by air pressure, characterized by its flexibility, lightweight design, and high power-to-weight ratio. We have developed a smart artificial muscle that is capable of sensing its motion. To enable this sensing function, an optical fiber was integrated into the sleeve consisting of multiple fibers and serving as a component of the McKibben artificial muscle. By measuring the macrobending loss of the optical fiber, the length of the smart artificial muscle is expected to be estimated. However, experimental results indicated that the sensor's characteristics depend not only on the length but also on the load and the applied air pressure. This dependency arises because the stress applied to the optical fiber increases, causing microbending loss. In this study, we employed a machine learning model, primarily composed of Long Short-Term Memory (LSTM) neural networks, to estimate the length of the smart artificial muscle. The experimental results demonstrate that the length estimation obtained through machine learning exhibits a smaller error. This suggests that machine learning is a feasible approach to enhancing the length measurement accuracy of the smart artificial muscle.
en-copyright=
kn-copyright=
en-aut-name=NiYilei
en-aut-sei=Ni
en-aut-mei=Yilei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WakimotoShuichi
en-aut-sei=Wakimoto
en-aut-mei=Shuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=TianWeihang
en-aut-sei=Tian
en-aut-mei=Weihang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TodaYuichiro
en-aut-sei=Toda
en-aut-mei=Yuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KandaTakefumi
en-aut-sei=Kanda
en-aut-mei=Takefumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=YamaguchiDaisuke
en-aut-sei=Yamaguchi
en-aut-mei=Daisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=McKibben artificial muscle
kn-keyword=McKibben artificial muscle
en-keyword=machine learning
kn-keyword=machine learning
en-keyword=optical fiber
kn-keyword=optical fiber
en-keyword=motion estimation
kn-keyword=motion estimation
END
start-ver=1.4
cd-journal=joma
no-vol=301
cd-vols=
no-issue=4
article-no=
start-page=108334
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202504
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Roles of basic amino acid residues in substrate binding and transport of the light-driven anion pump Synechocystis halorhodopsin (SyHR)
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Microbial rhodopsins are photoreceptive seventransmembrane a-helical proteins, many of which function as ion transporters, primarily for small monovalent ions such as Na+, K+, Cl-, Br-, and I-. Synechocystis halorhodopsin (SyHR), identified from the cyanobacterium Synechocystis sp. PCC 7509, uniquely transports the polyatomic divalent SO42- inward, in addition to monovalent anions (Cl- and Br-). In this study, we conducted alanine-scanning mutagenesis on twelve basic amino acid residues to investigate the anion transport mechanism of SyHR. We quantitatively evaluated the Cl-and SO42- transport activities of the WT SyHR and its mutants. The results showed a strong correlation between the Cl-and SO42- transport activities among them (R = 0.94), suggesting a shared pathway for both anions. Notably, the R71A mutation selectively abolished SO42- transport activity while maintaining Cl- transport, whereas the H167A mutation significantly impaired both Cl-and SO42- transport. Furthermore, spectroscopic analysis revealed that the R71A mutant lost its ability to bind SO42- due to the absence of a positive charge, while the H167A mutant failed to accumulate the O intermediate during the photoreaction cycle (photocycle) due to reduced hydrophilicity. Additionally, computational analysis revealed the SO42- binding modes and clarified the roles of residues involved in its binding around the retinal chromophore. Based on these findings and previous structural information, we propose that the positive charge and hydrophilicity of Arg71 and His167 are crucial for the formation of the characteristic initial and transient anion-binding site of SyHR, enabling its unique ability to bind and transport both Cl-and SO42-.
en-copyright=
kn-copyright=
en-aut-name=NakamaMasaki
en-aut-sei=Nakama
en-aut-mei=Masaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NojiTomoyasu
en-aut-sei=Noji
en-aut-mei=Tomoyasu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KojimaKeiichi
en-aut-sei=Kojima
en-aut-mei=Keiichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=YoshizawaSusumu
en-aut-sei=Yoshizawa
en-aut-mei=Susumu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=IshikitaHiroshi
en-aut-sei=Ishikita
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=SudoYuki
en-aut-sei=Sudo
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Applied Chemistry, The University of Tokyo
kn-affil=
affil-num=3
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Atmosphere and Ocean Research Institute, The University of Tokyo
kn-affil=
affil-num=5
en-affil=Department of Applied Chemistry, The University of Tokyo
kn-affil=
affil-num=6
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=microbial rhodopsin
kn-keyword=microbial rhodopsin
en-keyword=anion transport
kn-keyword=anion transport
en-keyword=retinal
kn-keyword=retinal
en-keyword=membrane protein
kn-keyword=membrane protein
en-keyword=photobiology
kn-keyword=photobiology
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=6
article-no=
start-page=790
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250320
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background/Objectives: Mean kurtosis (MK) values in simple diffusion kurtosis imaging (SDI)-a type of diffusion kurtosis imaging (DKI)-have been reported to be useful in the diagnosis of head and neck malignancies, for which pre-processing with smoothing filters has been reported to improve the diagnostic accuracy. Multi-parameter analysis using DKI in combination with other image types has recently been reported to improve the diagnostic performance. The purpose of this study was to evaluate the usefulness of machine learning (ML)-based multi-parameter analysis using the MK and apparent diffusion coefficient (ADC) values-which can be acquired simultaneously through SDI-for the differential diagnosis of benign and malignant head and neck tumors, which is important for determining the treatment strategy, as well as examining the usefulness of filter pre-processing. Methods: A total of 32 pathologically diagnosed head and neck tumors were included in the study, and a Gaussian filter was used for image pre-processing. MK and ADC values were extracted from pixels within the tumor area and used as explanatory variables. Five ML algorithms were used to create models for the prediction of tumor status (benign or malignant), which were evaluated through ROC analysis. Results: Bi-parameter analysis with gradient boosting achieved the best diagnostic performance, with an AUC of 0.81. Conclusions: The usefulness of bi-parameter analysis with ML methods for the differential diagnosis of benign and malignant head and neck tumors using SDI data were demonstrated.
en-copyright=
kn-copyright=
en-aut-name=YoshidaSuzuka
en-aut-sei=Yoshida
en-aut-mei=Suzuka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KurodaMasahiro
en-aut-sei=Kuroda
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NakamuraYoshihide
en-aut-sei=Nakamura
en-aut-mei=Yoshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FukumuraYuka
en-aut-sei=Fukumura
en-aut-mei=Yuka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NakamitsuYuki
en-aut-sei=Nakamitsu
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=Al-HammadWlla E.
en-aut-sei=Al-Hammad
en-aut-mei=Wlla E.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KurodaKazuhiro
en-aut-sei=Kuroda
en-aut-mei=Kazuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=ShimizuYudai
en-aut-sei=Shimizu
en-aut-mei=Yudai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=TanabeYoshinori
en-aut-sei=Tanabe
en-aut-mei=Yoshinori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=OitaMasataka
en-aut-sei=Oita
en-aut-mei=Masataka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=SugiantoIrfan
en-aut-sei=Sugianto
en-aut-mei=Irfan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=BarhamMajd
en-aut-sei=Barham
en-aut-mei=Majd
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=TekikiNouha
en-aut-sei=Tekiki
en-aut-mei=Nouha
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=KamaruddinNurul N.
en-aut-sei=Kamaruddin
en-aut-mei=Nurul N.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=HisatomiMiki
en-aut-sei=Hisatomi
en-aut-mei=Miki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
en-aut-name=YanagiYoshinobu
en-aut-sei=Yanagi
en-aut-mei=Yoshinobu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=16
ORCID=
en-aut-name=AsaumiJunichi
en-aut-sei=Asaumi
en-aut-mei=Junichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=17
ORCID=
affil-num=1
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University
kn-affil=
affil-num=10
en-affil=Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=11
en-affil=Department of Oral Radiology, Faculty of Dentistry, Hasanuddin University
kn-affil=
affil-num=12
en-affil=Department of Dentistry and Dental Surgery, College of Medicine and Health Sciences, An-Najah National University
kn-affil=
affil-num=13
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=14
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=15
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=16
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=17
en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=head and neck tumors
kn-keyword=head and neck tumors
en-keyword=mean kurtosis
kn-keyword=mean kurtosis
en-keyword=simple diffusion kurtosis imaging
kn-keyword=simple diffusion kurtosis imaging
en-keyword=magnetic resonance imaging
kn-keyword=magnetic resonance imaging
en-keyword=apparent diffusion coefficient value
kn-keyword=apparent diffusion coefficient value
en-keyword=diffusion kurtosis imaging
kn-keyword=diffusion kurtosis imaging
en-keyword=machine learning
kn-keyword=machine learning
en-keyword=bi-parameter analysis
kn-keyword=bi-parameter analysis
en-keyword=gradient boosting
kn-keyword=gradient boosting
en-keyword=differential diagnosis of benign and malignant
kn-keyword=differential diagnosis of benign and malignant
END
start-ver=1.4
cd-journal=joma
no-vol=32
cd-vols=
no-issue=
article-no=
start-page=1
end-page=60
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250331
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Annual report / Institute of Plant Science and Resources, Okayama University
kn-title=岡山大学資源植物科学研究所報告
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=Institute of Plant Science and Resources, Okayama University
en-aut-sei=Institute of Plant Science and Resources, Okayama University
en-aut-mei=
kn-aut-name=岡山大学資源植物科学研究所
kn-aut-sei=岡山大学資源植物科学研究所
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=61
cd-vols=
no-issue=25
article-no=
start-page=4757
end-page=4773
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=2025
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Recent development of azahelicenes showing circularly polarized luminescence
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Recently, a variety of circularly polarized luminescence (CPL) dyes have been developed as next-generation chiroptical materials. Helicenes, ortho-fused aromatics, have been recognized as some of the most promising CPL dyes. Although typical carbohelicenes show CPL, weak fluorescence is often emitted in the blue region. In contrast, heteroatom-embedded helicenes (heterohelicenes) can show intense fluorescence and CPL in the visible region because heteroatoms alter the electronic states of helicene frameworks. Among various heterohelicenes, nitrogen-embedded helicenes (azahelicenes) have unique features such as facile functionalization and sensitive responses to acid/base or metal ions. Furthermore, polycyclic aromatic hydrocarbons (PAHs) containing azaborine units have been recognized as excellent luminescent materials, and the helical derivatives, B,N-embedded helicenes, have been rapidly growing recently. In this feature article, we review and summarize the synthesis and chiroptical properties of azahelicenes, which are classified into imine-type and amine-type azahelicenes and B,N-embedded helicenes. CPL switching systems of azahelicenes are also reviewed.
en-copyright=
kn-copyright=
en-aut-name=MaedaChihiro
en-aut-sei=Maeda
en-aut-mei=Chihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=EmaTadashi
en-aut-sei=Ema
en-aut-mei=Tadashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=5248
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250212
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Changes of leucine-rich alpha 2 glycoprotein could be a marker of changes of endoscopic and histologic activity of ulcerative colitis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Leucine-rich alpha 2 glycoprotein (LRG) is one of the serum biomarkers for disease activity of ulcerative colitis (UC). We focused on the correlation between the changes of LRG and the changes of endoscopic and histologic activity of UC, in comparison to the changes of fecal calprotectin (Fcal), fecal immunochemical test (FIT), and C-reactive protein (CRP). Seventy-nine patients with two or more colonoscopies were enrolled, and 123 paired colonoscopies and 121 paired biopsies were examined. With regard to the change of endoscopic/histologic activity between the preceding and subsequent colonoscopy, there was improvement (n = 29/45), unchanging (n = 63/36), and worsening (n = 31/40). The correlations between the changes of marker levels and endoscopic/histologic activity were Fcal; r = 0.50/0.39 and FIT; r = 0.41/0.40, LRG; r = 0.42/0.40 and CRP; r = 0.22/0.17. Furthermore, when the correlation between the changes of LRG levels and the changes of endoscopic/histological activity was compared with those of other markers, the correlation of LRG tended to be superior to those of CRP (CRP vs. LRG; p = 0.08/0.01). LRG is equivalent to fecal markers and superior to CRP, when inferring changes in disease activity of UC based on changes in its level.
en-copyright=
kn-copyright=
en-aut-name=AoyamaYuki
en-aut-sei=Aoyama
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HiraokaSakiko
en-aut-sei=Hiraoka
en-aut-mei=Sakiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YasutomiEriko
en-aut-sei=Yasutomi
en-aut-mei=Eriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=InokuchiToshihiro
en-aut-sei=Inokuchi
en-aut-mei=Toshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TanakaTakehiro
en-aut-sei=Tanaka
en-aut-mei=Takehiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=TakeiKensuke
en-aut-sei=Takei
en-aut-mei=Kensuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=IgawaShoko
en-aut-sei=Igawa
en-aut-mei=Shoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=TakeuchiKeiko
en-aut-sei=Takeuchi
en-aut-mei=Keiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=TakaharaMasahiro
en-aut-sei=Takahara
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=ToyosawaJunki
en-aut-sei=Toyosawa
en-aut-mei=Junki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=YamasakiYasushi
en-aut-sei=Yamasaki
en-aut-mei=Yasushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=KinugasaHideaki
en-aut-sei=Kinugasa
en-aut-mei=Hideaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=KatoJun
en-aut-sei=Kato
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=OkadaHiroyuki
en-aut-sei=Okada
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=OtsukaMotoyuki
en-aut-sei=Otsuka
en-aut-mei=Motoyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
affil-num=1
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Pathology, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=6
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=10
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=11
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=12
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=13
en-affil=Department of Gastroenterology, Graduate School of Medicine, Chiba University
kn-affil=
affil-num=14
en-affil=Department of Gastroenterology, Japanese Red Cross Society Himeji Hospital
kn-affil=
affil-num=15
en-affil=Department of Gastroenterology and Hepatology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Ulcerative colitis
kn-keyword=Ulcerative colitis
en-keyword=Leucine-rich alpha 2 glycoprotein
kn-keyword=Leucine-rich alpha 2 glycoprotein
en-keyword=Biomarker
kn-keyword=Biomarker
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=6666
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250224
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Microfluidic fabrication of rattle shaped biopolymer microcapsules via sequential phase separation in oil droplets
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Multilayer microcapsules containing a small particle within a larger capsule have recently attracted considerable attention owing to their potential applications in diverse fields, including drug delivery, active ingredient storage, and chemical reactions. These complex capsules have been fabricated using interfacial polymerization or seeded emulsion polymerization. However, these methods often require complex and lengthy polymerization processes, limiting their utility, particularly in biopolymer systems. This study introduces a simple and efficient approach for preparing rattle-shaped cellulose acetate (CA) microcapsules through sequential phase separation in droplets. We systematically examine the effects of various preparation parameters, including the amount of co-solvent, initial droplet size, and flow rates, and reveal that the incorporation of a co-solvent-ethyl acetate (EA)- in the dispersed phase significantly impacts the microcapsule morphology. Our findings demonstrate a transition from a core-shell to a rattle-shaped structure as the EA concentration increases. Furthermore, the initial droplet diameter and flow rates influence microcapsule formation-larger droplets and reduced continuous-phase flow rates favor the development of multi-layered structures. These results indicate that the formation mechanism of these rattle-shaped microcapsules arises from the establishment of a radial solvent concentration gradient and subsequent phase separation within the droplets, driven by kinetic rather than thermodynamic factors.
en-copyright=
kn-copyright=
en-aut-name=WatanabeTakaichi
en-aut-sei=Watanabe
en-aut-mei=Takaichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SakaiYuko
en-aut-sei=Sakai
en-aut-mei=Yuko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MoriKurumi
en-aut-sei=Mori
en-aut-mei=Kurumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=OnoTsutomu
en-aut-sei=Ono
en-aut-mei=Tsutomu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Applied Chemistry, Graduate School of Environmental, Life, Natural Science and Technology
kn-affil=
affil-num=2
en-affil=Department of Applied Chemistry, Graduate School of Environmental, Life, Natural Science and Technology
kn-affil=
affil-num=3
en-affil=Department of Applied Chemistry, Graduate School of Environmental, Life, Natural Science and Technology
kn-affil=
affil-num=4
en-affil=Department of Applied Chemistry, Graduate School of Environmental, Life, Natural Science and Technology
kn-affil=
en-keyword=Microfluidics
kn-keyword=Microfluidics
en-keyword=Phase separation
kn-keyword=Phase separation
en-keyword=Nucleation
kn-keyword=Nucleation
en-keyword=Multi-core
kn-keyword=Multi-core
en-keyword=Rattle-shaped
kn-keyword=Rattle-shaped
END
start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=2
article-no=
start-page=267
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250122
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The Abnormal Expression of Tubular SGLT2 and GULT2 in Diabetes Model Mice with Malocclusion-Induced Hyperglycemia
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: A relationship between malocclusion and the promotion of diabetes has been suggested. In hyperglycemia, the expression of sodium-glucose cotransporter 2 (SGLT2) and the facilitative glucose transporter 2 (GLUT2) is upregulated in proximal tubular cells, leading to an increase in renal glucose reabsorption. The present study aimed to investigate whether malocclusion contributes to diabetic exacerbation. Methods: Streptozotocin (STZ)-induced diabetic mice with malocclusion due to cutting molars were investigated based on increased blood glucose levels. PCR and immunohistochemical analyses were performed on diabetic mice kidneys to investigate the expression of SGLT2 and GLUT2. Results: Animal experiments were performed using 32 mice for 21 days. The time to reach a diabetic condition in STZ-administered mice was shorter with malocclusion than without malocclusion. The increase and mean blood glucose levels in STZ-administered mice were steeper and higher with malocclusion than without malocclusion. Urea albumin, BUN, and CRE levels were higher in diabetic mice with malocclusion than in diabetic mice without. Immunoreaction with anti-SGLT2 and anti-GLUT2 in the renal tissue of STZ-administered mice was stronger with malocclusion than without malocclusion. The amounts of SGLT2 and GLUT2 mRNA in the renal tissue in STZ-administered mice were higher with malocclusion than without malocclusion. The amounts of TNF-a and IL-6 mRNA in the large intestinal tissue in STZ-administered mice were higher with malocclusion than without malocclusion. Conclusions: Our results indicate that malocclusion accelerates the tubular expression of SGLT2 and GLUT2 under hyperglycemia. Malocclusion may be a diabetes-exacerbating factor with increased poor glycemic control due to shortened occlusion time resulting from swallowing food without chewing.
en-copyright=
kn-copyright=
en-aut-name=KajiwaraKoichiro
en-aut-sei=Kajiwara
en-aut-mei=Koichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TamaokiSachio
en-aut-sei=Tamaoki
en-aut-mei=Sachio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=SawaYoshihiko
en-aut-sei=Sawa
en-aut-mei=Yoshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Oral Growth & Development, Fukuoka Dental College
kn-affil=
affil-num=2
en-affil=Department of Oral Growth & Development, Fukuoka Dental College
kn-affil=
affil-num=3
en-affil=Department of Oral Function & Anatomy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=malocclusion
kn-keyword=malocclusion
en-keyword= hyperglycemia
kn-keyword= hyperglycemia
en-keyword= SGLT2
kn-keyword= SGLT2
en-keyword= GLUT2
kn-keyword= GLUT2
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=2
article-no=
start-page=217
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250121
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Interchangeability of Cross-Platform Orthophotographic and LiDAR Data in DeepLabV3+-Based Land Cover Classification Method
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Riverine environmental information includes important data to collect, and the data collection still requires personnel's field surveys. These on-site tasks still face significant limitations (i.e., hard or danger to entry). In recent years, as one of the efficient approaches for data collection, air-vehicle-based Light Detection and Ranging technologies have already been applied in global environmental research, i.e., land cover classification (LCC) or environmental monitoring. For this study, the authors specifically focused on seven types of LCC (i.e., bamboo, tree, grass, bare ground, water, road, and clutter) that can be parameterized for flood simulation. A validated airborne LiDAR bathymetry system (ALB) and a UAV-borne green LiDAR System (GLS) were applied in this study for cross-platform analysis of LCC. Furthermore, LiDAR data were visualized using high-contrast color scales to improve the accuracy of land cover classification methods through image fusion techniques. If high-resolution aerial imagery is available, then it must be downscaled to match the resolution of low-resolution point clouds. Cross-platform data interchangeability was assessed by comparing the interchangeability, which measures the absolute difference in overall accuracy (OA) or macro-F1 by comparing the cross-platform interchangeability. It is noteworthy that relying solely on aerial photographs is inadequate for achieving precise labeling, particularly under limited sunlight conditions that can lead to misclassification. In such cases, LiDAR plays a crucial role in facilitating target recognition. All the approaches (i.e., low-resolution digital imagery, LiDAR-derived imagery and image fusion) present results of over 0.65 OA and of around 0.6 macro-F1. The authors found that the vegetation (bamboo, tree, grass) and road species have comparatively better performance compared with clutter and bare ground species. Given the stated conditions, differences in the species derived from different years (ALB from year 2017 and GLS from year 2020) are the main reason. Because the identification of clutter species includes all the items except for the relative species in this research, RGB-based features of the clutter species cannot be substituted easily because of the 3-year gap compared with other species. Derived from on-site reconstruction, the bare ground species also has a further color change between ALB and GLS that leads to decreased interchangeability. In the case of individual species, without considering seasons and platforms, image fusion can classify bamboo and trees with higher F1 scores compared to low-resolution digital imagery and LiDAR-derived imagery, which has especially proved the cross-platform interchangeability in the high vegetation types. In recent years, high-resolution photography (UAV), high-precision LiDAR measurement (ALB, GLS), and satellite imagery have been used. LiDAR measurement equipment is expensive, and measurement opportunities are limited. Based on this, it would be desirable if ALB and GLS could be continuously classified by Artificial Intelligence, and in this study, the authors investigated such data interchangeability. A unique and crucial aspect of this study is exploring the interchangeability of land cover classification models across different LiDAR platforms.
en-copyright=
kn-copyright=
en-aut-name=PanShijun
en-aut-sei=Pan
en-aut-mei=Shijun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YoshidaKeisuke
en-aut-sei=Yoshida
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NishiyamaSatoshi
en-aut-sei=Nishiyama
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KojimaTakashi
en-aut-sei=Kojima
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=HashimotoYutaro
en-aut-sei=Hashimoto
en-aut-mei=Yutaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=4
en-affil=TOKEN C. E. E. Consultants Co., Ltd.
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=airborne LiDAR bathymetry
kn-keyword=airborne LiDAR bathymetry
en-keyword=cross-platform
kn-keyword=cross-platform
en-keyword=deep learning
kn-keyword=deep learning
en-keyword=green LiDAR system
kn-keyword=green LiDAR system
en-keyword=riverine land cover classification
kn-keyword=riverine land cover classification
END
start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=2
article-no=
start-page=108
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250205
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=For rapid deployments of various IoT application systems, we have developed Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) as an integrated server platform. It is equipped with rich functions for collecting, analyzing, and visualizing various data. Unfortunately, the proper configuration of SEMAR with a variety of IoT devices can be complex and challenging for novice users, since it often requires technical expertise. The assistance of Generative AI can be helpful to solve this drawback. In this paper, we present an implementation of a sensor input setup assistance service for SEMAR using prompt engineering techniques and Generative AI. A user needs to define the requirement specifications and environments of the IoT application system for sensor inputs, and give them to the service. Then, the service provides step-by-step guidance on sensor connections, communicating board configurations, network connections, and communication protocols to the user, which can help the user easily set up the configuration to connect the relevant devices to SEMAR. For evaluations, we applied the proposal to the input sensor setup processes of three practical IoT application systems with SEMAR, namely, a smart light, water heater, and room temperature monitoring system. In addition, we applied it to the setup process of an IoT application system for a course for undergraduate students at the Insitut Bisnis dan Teknologi (INSTIKI), Indonesia. The results demonstrate the effectiveness of the proposed service for SEMAR.
en-copyright=
kn-copyright=
en-aut-name=KotamaI. Nyoman Darma
en-aut-sei=Kotama
en-aut-mei=I. Nyoman Darma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=PradhanaAnak Agung Surya
en-aut-sei=Pradhana
en-aut-mei=Anak Agung Surya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=Noprianto
en-aut-sei=Noprianto
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=DesnanjayaI. Gusti Made Ngurah
en-aut-sei=Desnanjaya
en-aut-mei=I. Gusti Made Ngurah
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Computer System Engineering, Institute of Business and Technology Indonesia
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword= generative AI
kn-keyword= generative AI
en-keyword= review
kn-keyword= review
en-keyword= application server platform
kn-keyword= application server platform
en-keyword= SEMAR
kn-keyword= SEMAR
en-keyword= sensor input
kn-keyword= sensor input
END
start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=2
article-no=
start-page=91
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250124
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Application of SEMAR IoT Application Server Platform to Drone-Based Wall Inspection System Using AI Model
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Recently, artificial intelligence (AI) has been adopted in a number of Internet of Things (IoT) application systems to enhance intelligence. We have developed a ready-made server with rich built-in functions to collect, process, display, analyze, and store data from various IoT devices, the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform, in which various AI techniques have been implemented to enhance its capabilities. In this paper, we present an application of SEMAR to a drone-based wall inspection system using an object detection AI model called You Only Look Once (YOLO). This system aims to detect wall cracks at high places using images taken via a camera on a flying drone. An edge computing device is installed to control the drone, sending the taken images through the Kafka system, storing them with the drone flight data, and sending the data to SEMAR. The images are analyzed via YOLO through SEMAR. For evaluations, we implemented the system using Ryze Tello for the drone and Raspberry Pi for the edge, and we evaluated the detection accuracy. The preliminary experiment results confirmed the effectiveness of the proposal.
en-copyright=
kn-copyright=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HusnaRadhiatul
en-aut-sei=Husna
en-aut-mei=Radhiatul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NopriantoNobuo
en-aut-sei=Noprianto
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=SakamakiShunya
en-aut-sei=Sakamaki
en-aut-mei=Shunya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Informatics and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=
affil-num=7
en-affil=Department of Information Technology, State Polytechnic of Malang
kn-affil=
affil-num=8
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword= AI
kn-keyword= AI
en-keyword= SEMAR
kn-keyword= SEMAR
en-keyword= crack detection
kn-keyword= crack detection
en-keyword= drone
kn-keyword= drone
en-keyword= Kafka
kn-keyword= Kafka
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=2
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241225
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Enhancing Campus Environment: Real-Time Air Quality Monitoring Through IoT and Web Technologies
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, enhancing campus environments through mitigations of air pollutions is an essential endeavor to support academic achievements, health, and safety of students and staffs in higher educational institutes. In laboratories, pollutants from welding, auto repairs, or chemical experiments can drastically degrade the air quality in the campus, endangering the respiratory and cognitive health of students and staffs. Besides, in universities in Indonesia, automobile emissions of harmful substances such as carbon monoxide (CO), nitrogen dioxide (NO2), and hydrocarbon (HC) have been a serious problem for a long time. Almost everybody is using a motorbike or a car every day in daily life, while the number of students is continuously increasing. However, people in many campuses including managements do not be aware these problems, since air quality is not monitored. In this paper, we present a real-time air quality monitoring system utilizing Internet of Things (IoT) integrated sensors capable of detecting pollutants and measuring environmental conditions to visualize them. By transmitting data to the SEMAR IoT application server platform via an ESP32 microcontroller, this system provides instant alerts through a web application and Telegram notifications when pollutant levels exceed safe thresholds. For evaluations of the proposed system, we adopted three sensors to measure the levels of CO, NO2, and HC and conducted experiments in three sites, namely, Mechatronics Laboratory, Power and Emission Laboratory, and Parking Lot, at the State Polytechnic of Malang, Indonesia. Then, the results reveal Good, Unhealthy, and Dangerous for them, respectively, among the five categories defined by the Indonesian government. The system highlighted its ability to monitor air quality fluctuations, trigger warnings of hazardous conditions, and inform the campus community. The correlation of the sensor levels can identify the relationship of each pollutant, which provides insight into the characteristics of pollutants in a particular scenario.
en-copyright=
kn-copyright=
en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=SetiawanBudhy
en-aut-sei=Setiawan
en-aut-mei=Budhy
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=
affil-num=2
en-affil=Department of Information Technology, State Polytechnic of Malang
kn-affil=
affil-num=3
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=
affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword= campus air quality
kn-keyword= campus air quality
en-keyword= pollutant detection
kn-keyword= pollutant detection
en-keyword= SEMAR
kn-keyword= SEMAR
en-keyword= sensor technology
kn-keyword= sensor technology
en-keyword= web application
kn-keyword= web application
END
start-ver=1.4
cd-journal=joma
no-vol=64
cd-vols=
no-issue=8
article-no=
start-page=e202418546
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250122
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=B,N‐Embedded Helical Nanographenes Showing an Ion‐Triggered Chiroptical Switching Function
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Intramolecular oxidative aromatic coupling of 3,6-bis(m-terphenyl-2’-yl)carbazole provided a bis(m-terphenyl)-fused carbazole, while that of 3,6-bis(m-terphenyl-2’-yl)-1,8-diphenylcarbazole afforded a bis(quaterphenyl)-fused carbazole. Borylation of the latter furnished a B,N-embedded helical nanographene binding a fluoride anion via a structural change from the three-coordinate boron to the four-coordinate boron. The anionic charge derived from the fluoride anion is stabilized over the expanded π-framework, which leads to the high binding constant (Ka) of 1×105 M−1. The four-coordinate boron species was converted back to the parent three-coordinate boron species with Ag+, and the chiroptical switch between the three-coordinate boron and four-coordinate boron species has been achieved via the ion recognition with the change in the color and glum values.
en-copyright=
kn-copyright=
en-aut-name=MaedaChihiro
en-aut-sei=Maeda
en-aut-mei=Chihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MichishitaSayaka
en-aut-sei=Michishita
en-aut-mei=Sayaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YasutomoIssa
en-aut-sei=Yasutomo
en-aut-mei=Issa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=EmaTadashi
en-aut-sei=Ema
en-aut-mei=Tadashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Boron
kn-keyword=Boron
en-keyword=Chirality
kn-keyword=Chirality
en-keyword=Circularly polarized luminescence
kn-keyword=Circularly polarized luminescence
en-keyword=Helical nanographenes
kn-keyword=Helical nanographenes
en-keyword=Ion sensing
kn-keyword=Ion sensing
END
start-ver=1.4
cd-journal=joma
no-vol=5
cd-vols=
no-issue=1
article-no=
start-page=12
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250208
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Introduction Perinatal mental disorders are prevalent, affecting 10-20% of pregnant women, and can negatively impact both maternal and neonatal outcomes. Traditional screening tools, such as the Edinburgh Postnatal Depression Scale (EPDS), present limitations due to subjectivity and time constraints in clinical settings. Recent advances in voice analysis and machine learning have shown potential for providing more objective screening methods. This study aimed to develop a deep learning model that analyzes the voices of pregnant women to screen for mental disorders, thereby offering an alternative to the traditional tools.
Methods A cross-sectional study was conducted among 204 pregnant women, from whom voice samples were collected during their one-month postpartum checkup. The audio data were preprocessed into 5000 ms intervals, converted into mel-spectrograms, and augmented using TrivialAugment and context-rich minority oversampling. The EfficientFormer V2-L model, pretrained on ImageNet, was employed with transfer learning for classification. The hyperparameters were optimized using Optuna, and an ensemble learning approach was used for the final predictions. The model's performance was compared to that of the EPDS in terms of sensitivity, specificity, and other diagnostic metrics.
Results Of the 172 participants analyzed (149 without mental disorders and 23 with mental disorders), the voice-based model demonstrated a sensitivity of 1.00 and a recall of 0.82, outperforming the EPDS in these areas. However, the EPDS exhibited higher specificity (0.97) and precision (0.84). No significant difference was observed in the area under the receiver operating characteristic curve between the two methods (p = 0.759).
Discussion The voice-based model showed higher sensitivity and recall, suggesting that it may be more effective in identifying at-risk individuals than the EPDS. Machine learning and voice analysis are promising objective screening methods for mental disorders during pregnancy, potentially improving early detection.
Conclusion We developed a lightweight machine learning model to analyze pregnant women's voices for screening various mental disorders, achieving high sensitivity and demonstrating the potential of voice analysis as an effective and objective tool in perinatal mental health care.
en-copyright=
kn-copyright=
en-aut-name=OobaHikaru
en-aut-sei=Ooba
en-aut-mei=Hikaru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MakiJota
en-aut-sei=Maki
en-aut-mei=Jota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MasuyamaHisashi
en-aut-sei=Masuyama
en-aut-mei=Hisashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=Perinatal mental disorders
kn-keyword=Perinatal mental disorders
en-keyword=Voice analysis
kn-keyword=Voice analysis
en-keyword=Machine learning
kn-keyword=Machine learning
en-keyword=Screening
kn-keyword=Screening
en-keyword=Pregnant women
kn-keyword=Pregnant women
END
start-ver=1.4
cd-journal=joma
no-vol=79
cd-vols=
no-issue=1
article-no=
start-page=1
end-page=7
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202502
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Endothelial Cell Polarity in Health and Disease
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Endothelial cell polarity is fundamental to the organization and function of blood vessels, influencing processes such as angiogenesis, vascular stability, and response to shear stress. This review elaborates on the molecular mechanisms that regulate endothelial cell polarity, focusing on key players like the PAR polarity complex and Rho family GTPases. These pathways coordinate the front–rear, apical–basal and planar polarity of endothelial cells, which are essential for the proper formation and maintenance of vascular structures. In health, endothelial polarity ensures not only the orderly development of blood vessels, with tip cells adopting distinct polarities during angiogenesis, but also ensures proper vascular integrity and function. In disease states, however, disruptions in polarity contribute to pathologies such as coronary artery disease, where altered planar polarity exacerbates atherosclerosis, and cancer, where disrupted polarity in tumor vasculature leads to abnormal vessel growth and function. Understanding cell polarity and its disruption is fundamental not only to comprehending how cells interact with their microenvironment and organize themselves into complex, organ-specific tissues but also to developing novel, targeted, and therapeutic strategies for a range of diseases, from cardiovascular disorders to malignancies, ultimately improving patient outcomes.
en-copyright=
kn-copyright=
en-aut-name=ThihaMoe
en-aut-sei=Thiha
en-aut-mei=Moe
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HikitaTakao
en-aut-sei=Hikita
en-aut-mei=Takao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NakayamaMasanori
en-aut-sei=Nakayama
en-aut-mei=Masanori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Pathophysiology and Drug Discovery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Pathophysiology and Drug Discovery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Pathophysiology and Drug Discovery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=blood vessel
kn-keyword=blood vessel
en-keyword=endothelial cell
kn-keyword=endothelial cell
en-keyword=cell polarity
kn-keyword=cell polarity
en-keyword=atherosclerosis
kn-keyword=atherosclerosis
en-keyword=cancer
kn-keyword=cancer
END
start-ver=1.4
cd-journal=joma
no-vol=26
cd-vols=
no-issue=1
article-no=
start-page=38
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250124
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Exacerbation of diabetes due to F. Nucleatum LPS-induced SGLT2 overexpression in the renal proximal tubular epithelial cells
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background Diabetes treatments by the control of sodium-glucose cotransporter 2 (SGLT2) is commonly conducted while there are still uncertainties about the mechanisms for the SGLT2 overexpression in kidneys with diabetes. Previously, we have reported that glomeruli and proximal tubules with diabetic nephropathy express toll-like receptor TLR2/4, and that the TLR ligand lipopolysaccharide (LPS) of periodontal pathogens have caused nephropathy in diabetic model mice. Recently, many researchers suggested that the periodontal pathogenic bacteria Fusobacterium (F.) nucleatum has the TLR4-associated strong activator of the colorectal inflammation and cancer. The present study aimed to investigate the possibility of F. nucleatum as an exacerbation factor of diabetes through the renal SGLT2 induction.
Methods The induction of the SGLT2 by F. nucleatum LPS (Fn-LPS) were investigated in the streptozotocin-induced diabetic mouse renal tissue and cultured renal proximal epithelial cells. The changes of blood glucose levels and survival curves in diabetic mice with Fn-LPS were analyzed. The Fn-LPS-induced SGLT2 production in the diabetic mouse renal tissue and in the cultured proximal epithelial cells was examined by ELISA, quantitative RT-PCR, and immunohistochemical analysis.
Results The SGLT2 expression in the cultured mouse tubular epithelial cells was significantly increased by TNF- or co-culture with Fn-LPS-supplemented J774.1 cells. The period to reach diabetic condition was significantly shorter in Fn-LPS-administered diabetic mice than in diabetic mice. All Fn-LPS-administered-diabetic mice reached humane endpoints during the healthy period of all of the mice administered Fn-LPS only. The promotion of the SGLT2 expression at the inner lumen of proximal tubules were stronger in the Fn-LPS-administered-diabetic mice than in diabetic mice. The renal tissue SGLT2 mRNA amounts and the number of renal proximal tubules with overexpressed SGLT2 in the lumen were more in the Fn-LPS-administered-diabetic mice than in diabetic mice.
Conclusions This study suggests that F. nucleatum causes the promotion of diabetes through the overexpression of SGLT2 in proximal tubules under the diabetic condition. Periodontitis with F. nucleatum may be a diabetic exacerbating factor.
en-copyright=
kn-copyright=
en-aut-name=SekiAiko
en-aut-sei=Seki
en-aut-mei=Aiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KajiwaraKoichiro
en-aut-sei=Kajiwara
en-aut-mei=Koichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=TeramachiJumpei
en-aut-sei=Teramachi
en-aut-mei=Jumpei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=EgusaMasahiko
en-aut-sei=Egusa
en-aut-mei=Masahiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MiyawakiTakuya
en-aut-sei=Miyawaki
en-aut-mei=Takuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=SawaYoshihiko
en-aut-sei=Sawa
en-aut-mei=Yoshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=2
en-affil=Department of Oral Growth & Development, Fukuoka Dental College
kn-affil=
affil-num=3
en-affil=Department of Oral Function & Anatomy, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=4
en-affil=Department of Dental Anesthesiology & Special Care Dentistry, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=5
en-affil=Department of Dental Anesthesiology & Special Care Dentistry, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=6
en-affil=Department of Oral Function & Anatomy, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
en-keyword=F. Nucleatum
kn-keyword=F. Nucleatum
en-keyword=Diabetic exacerbation
kn-keyword=Diabetic exacerbation
en-keyword=Diabetic nephropathy
kn-keyword=Diabetic nephropathy
en-keyword=SGLT2
kn-keyword=SGLT2
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=46
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250113
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Mapping Surface Potential in DNA Aptamer-Neurochemical and Membrane-Ion Interactions on the SOS Substrate Using Terahertz Microscopy
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In this study, we utilized a terahertz chemical microscope (TCM) to map surface potential changes induced by molecular interactions on silicon-on-sapphire (SOS) substrates. By functionalizing the SOS substrate with DNA aptamers and an ion-selective membrane, we successfully detected and visualized aptamer-neurochemical complexes through the terahertz amplitude. Additionally, comparative studies of DNA aptamers in PBS buffer and artificial cerebrospinal fluid (aCSF) were performed by computational structure modeling and terahertz measurements. Beyond neurochemicals, we also investigated calcium ions, measuring their concentrations in PDMS-fabricated micro-wells using minimal sample volumes. Our results highlight the capability of TCM as a powerful, label-free, and sensitive platform for the probing and mapping of surface potential arising from molecular interactions, with broad implications for biomedical diagnostics and research.
en-copyright=
kn-copyright=
en-aut-name=MoritaKosei
en-aut-sei=Morita
en-aut-mei=Kosei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MitsudaYuta
en-aut-sei=Mitsuda
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YoshidaSota
en-aut-sei=Yoshida
en-aut-mei=Sota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KiwaToshihiko
en-aut-sei=Kiwa
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=WangJin
en-aut-sei=Wang
en-aut-mei=Jin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=terahertz chemical microscope
kn-keyword=terahertz chemical microscope
en-keyword=surface potential
kn-keyword=surface potential
en-keyword=DNA aptamer-neurochemical complexes
kn-keyword=DNA aptamer-neurochemical complexes
en-keyword=membrane-ion interactions
kn-keyword=membrane-ion interactions
en-keyword=SOS substrate
kn-keyword=SOS substrate
en-keyword=artificial cerebrospinal fluid
kn-keyword=artificial cerebrospinal fluid
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=25
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250115
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Investigation of Hand Gestures for Controlling Video Games in a Rehabilitation Exergame System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Musculoskeletal disorders (MSDs) can significantly impact individuals' quality of life (QoL), often requiring effective rehabilitation strategies to promote recovery. However, traditional rehabilitation methods can be expensive and may lack engagement, leading to poor adherence to therapy exercise routines. An exergame system can be a solution to this problem. In this paper, we investigate appropriate hand gestures for controlling video games in a rehabilitation exergame system. The Mediapipe Python library is adopted for the real-time recognition of gestures. We choose 10 easy gestures among 32 possible simple gestures. Then, we specify and compare the best and the second-best groups used to control the game. Comprehensive experiments are conducted with 16 students at Andalas University, Indonesia, to find appropriate gestures and evaluate user experiences of the system using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ). The results show that the hand gestures in the best group are more accessible than in the second-best group. The results suggest appropriate hand gestures for game controls and confirm the proposal's validity. In future work, we plan to enhance the exergame system by integrating a diverse set of video games, while expanding its application to a broader and more diverse sample. We will also study other practical applications of the hand gesture control function.
en-copyright=
kn-copyright=
en-aut-name=HusnaRadhiatul
en-aut-sei=Husna
en-aut-mei=Radhiatul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=AnggrainiIrin Tri
en-aut-sei=Anggraini
en-aut-mei=Irin Tri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=FanChih-Peng
en-aut-sei=Fan
en-aut-mei=Chih-Peng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=
affil-num=6
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=
en-keyword=hand gesture
kn-keyword=hand gesture
en-keyword=application control
kn-keyword=application control
en-keyword=exergame
kn-keyword=exergame
en-keyword=SUS
kn-keyword=SUS
en-keyword=UEQ
kn-keyword=UEQ
en-keyword=python
kn-keyword=python
en-keyword=mediapipe
kn-keyword=mediapipe
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=2
article-no=
start-page=342
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250117
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Proposal of In Situ Authoring Tool with Visual-Inertial Sensor Fusion for Outdoor Location-Based Augmented Reality
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In location-based augmented reality (LAR) applications, a simple and effective authoring tool is essential to create immersive AR experiences in real-world contexts. Unfortunately, most of the current tools are primarily desktop-based, requiring manual location acquisitions, the use of software development kits (SDKs), and high programming skills, which poses significant challenges for novice developers and a lack of precise LAR content alignment. In this paper, we propose an intuitive in situ authoring tool with visual-inertial sensor fusions to simplify the LAR content creation and storing process directly using a smartphone at the point of interest (POI) location. The tool localizes the user’s position using smartphone sensors and maps it with the captured smartphone movement and the surrounding environment data in real-time. Thus, the AR developer can place a virtual object on-site intuitively without complex programming. By leveraging the combined capabilities of Visual Simultaneous Localization and Mapping(VSLAM) and Google Street View (GSV), it enhances localization and mapping accuracy during AR object creation. For evaluations, we conducted extensive user testing with 15 participants, assessing the task success rate and completion time of the tool in practical pedestrian navigation scenarios. The Handheld Augmented Reality Usability Scale (HARUS) was used to evaluate overall user satisfaction. The results showed that all the participants successfully completed the tasks, taking 16.76 s on average to create one AR object in a 50 m radius area, while common desktop-based methods in the literature need 1–8 min on average, depending on the user’s expertise. Usability scores reached 89.44 for manipulability and 85.14 for comprehensibility, demonstrating the high effectiveness in simplifying the outdoor LAR content creation process.
en-copyright=
kn-copyright=
en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=2
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=3
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=4
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=5
en-affil= Department of Information Technology, Politeknik Negeri Malang
kn-affil=
affil-num=6
en-affil= Department of Information Technology, Politeknik Negeri Malang
kn-affil=
en-keyword=location-based augmented reality (LAR)
kn-keyword=location-based augmented reality (LAR)
en-keyword=authoring tool
kn-keyword=authoring tool
en-keyword=outdoor
kn-keyword=outdoor
en-keyword=VSLAM
kn-keyword=VSLAM
en-keyword=Google Street View (GSV)
kn-keyword=Google Street View (GSV)
en-keyword=handheld augmented reality usability scale (HARUS)
kn-keyword=handheld augmented reality usability scale (HARUS)
END
start-ver=1.4
cd-journal=joma
no-vol=53
cd-vols=
no-issue=1
article-no=
start-page=65
end-page=69
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202501
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Effectiveness of sensing gloves–applied virtual reality education system on hand hygiene practice: A randomized controlled trial
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: We developed a virtual reality (VR) education system and evaluated its clinical utility for promoting hand hygiene practices.
Methods: This prospective, 2-week, randomized controlled study conducted at Okayama University Hospital, Japan, from November 2023 to January 2024, involved 22 participants (18 medical students and 4 residents). A fully immersive 360° VR system (VIVE Pro Eye) using a head-mounted display and sensing gloves was used to develop 3 health care tasks in a virtual patient room—Environmental Cleaning, Gauze Exchange, and Urine Collection. After monitoring all participants' baseline usage data of portable hand-rubbing alcohol in the first week, we randomly assigned them into 1:1 groups (VR training and video lecture groups). The primary outcome was differences in hand-rubbed alcohol use before and after intervention.
Results: Before the intervention, alcohol use did not significantly differ between both groups. After the intervention, a significant increase in alcohol use was observed in the VR training group (median: 8.2 g vs 16.2 g; P = .019) but not in the video lecture group.
Conclusions: Our immersive 360° VR education system enhanced hand hygiene practices. Infection prevention and control practitioners and digital technology experts must collaborate to advance the development of superior educational devices and content.
en-copyright=
kn-copyright=
en-aut-name=IzumiMahiro
en-aut-sei=Izumi
en-aut-mei=Mahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HagiyaHideharu
en-aut-sei=Hagiya
en-aut-mei=Hideharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OtsukaYuki
en-aut-sei=Otsuka
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=SoejimaYoshiaki
en-aut-sei=Soejima
en-aut-mei=Yoshiaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=FukushimaShinnosuke
en-aut-sei=Fukushima
en-aut-mei=Shinnosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=ShibataMitsunobu
en-aut-sei=Shibata
en-aut-mei=Mitsunobu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=HirotaSatoshi
en-aut-sei=Hirota
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=KoyamaToshihiro
en-aut-sei=Koyama
en-aut-mei=Toshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=OtsukaFumio
en-aut-sei=Otsuka
en-aut-mei=Fumio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=GofukuAkio
en-aut-sei=Gofuku
en-aut-mei=Akio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Quality Assurance Center, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Infectious Diseases, Okayama University Hospital
kn-affil=
affil-num=3
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Infectious Diseases, Okayama University Hospital
kn-affil=
affil-num=6
en-affil=Quality Assurance Center, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=7
en-affil=Quality Assurance Center, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Health Data Science, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Quality Assurance Center, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=Infection prevention and control
kn-keyword=Infection prevention and control
en-keyword=Medical-engineering collaboration
kn-keyword=Medical-engineering collaboration
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=2577
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250120
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Plasma S100A8/A9 level predicts response to immune checkpoint inhibitors in patients with advanced non-small cell lung cancer
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Blood-based predictive markers for the efficacy of immune checkpoint inhibitors (ICIs) have not yet been established. We investigated the association of the plasma level of S100A8/A9 with the efficacy of immunotherapy. We evaluated patients with unresectable stage III/IV or recurrent non-small cell lung cancer (NSCLC) who were treated with ICIs at Okayama University Hospital. The pre-treatment plasma levels of S100A8/A9 were analyzed. Eighty-one eligible patients were included (median age, 69 years). Sixty-two patients were men, 54 had adenocarcinoma, 74 had performance status (PS) 0–1, and 47 received ICIs as first-line treatment. The median time to treatment failure (TTF) for ICIs was 5.7 months, and the median overall survival (OS) was 19.6 months. The TTF and OS were worse in patients with high plasma S100A8/A9 levels (≥ 2.475 µg/mL) (median TTF: 4.3 vs. 8.5 months, p = 0.009; median OS: 15.4 vs. 38.0 months, p = 0.001). Multivariate analysis revealed that PS ≥ 2, liver metastasis, and high plasma S100A8/A9 levels were significantly associated with short TTF and OS. In conclusion, plasma S100A8/A9 level may have a limited effect on ICI therapy for NSCLC.
en-copyright=
kn-copyright=
en-aut-name=KuribayashiTadahiro
en-aut-sei=Kuribayashi
en-aut-mei=Tadahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KinoshitaRie
en-aut-sei=Kinoshita
en-aut-mei=Rie
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NinomiyaKiichiro
en-aut-sei=Ninomiya
en-aut-mei=Kiichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MakimotoGo
en-aut-sei=Makimoto
en-aut-mei=Go
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KuboToshio
en-aut-sei=Kubo
en-aut-mei=Toshio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=RaiKammei
en-aut-sei=Rai
en-aut-mei=Kammei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=IchiharaEiki
en-aut-sei=Ichihara
en-aut-mei=Eiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=HottaKatsuyuki
en-aut-sei=Hotta
en-aut-mei=Katsuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=TabataMasahiro
en-aut-sei=Tabata
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=MaedaYoshinobu
en-aut-sei=Maeda
en-aut-mei=Yoshinobu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=KiuraKatsuyuki
en-aut-sei=Kiura
en-aut-mei=Katsuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=ToyookaShinichi
en-aut-sei=Toyooka
en-aut-mei=Shinichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=SakaguchiMasakiyo
en-aut-sei=Sakaguchi
en-aut-mei=Masakiyo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=OhashiKadoaki
en-aut-sei=Ohashi
en-aut-mei=Kadoaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
affil-num=1
en-affil=Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
affil-num=4
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
affil-num=5
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
affil-num=6
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
affil-num=7
en-affil=Center for Clinical Oncology, Okayama University Hospital
kn-affil=
affil-num=8
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
affil-num=9
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
affil-num=10
en-affil=Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=11
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
affil-num=12
en-affil=Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=13
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=14
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
en-keyword=S100A8/A9
kn-keyword=S100A8/A9
en-keyword=Lung cancer
kn-keyword=Lung cancer
en-keyword=Immune checkpoint inhibitors
kn-keyword=Immune checkpoint inhibitors
END
start-ver=1.4
cd-journal=joma
no-vol=18
cd-vols=
no-issue=52
article-no=
start-page=35202
end-page=35213
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241216
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Bright Quantum-Grade Fluorescent Nanodiamonds
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Optically accessible spin-active nanomaterials are promising as quantum nanosensors for probing biological samples. However, achieving bioimaging-level brightness and high-quality spin properties for these materials is challenging and hinders their application in quantum biosensing. Here, we demonstrate bright fluorescent nanodiamonds (NDs) containing 0.6–1.3-ppm negatively charged nitrogen-vacancy (NV) centers by spin-environment engineering via enriching spin-less 12C-carbon isotopes and reducing substitutional nitrogen spin impurities. The NDs, readily introduced into cultured cells, exhibited improved optically detected magnetic resonance (ODMR) spectra; peak splitting (E) was reduced by 2–3 MHz, and microwave excitation power required was 20 times lower to achieve a 3% ODMR contrast, comparable to that of conventional type-Ib NDs. They show average spin-relaxation times of T1 = 0.68 ms and T2 = 3.2 μs (1.6 ms and 5.4 μs maximum) that were 5- and 11-fold longer than those of type-Ib, respectively. Additionally, the extended T2 relaxation times of these NDs enable shot-noise-limited temperature measurements with a sensitivity of approximately 0.28K/√Hz. The combination of bulk-like NV spin properties and enhanced fluorescence significantly improves the sensitivity of ND-based quantum sensors for biological applications.
en-copyright=
kn-copyright=
en-aut-name=OshimiKeisuke
en-aut-sei=Oshimi
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=IshiwataHitoshi
en-aut-sei=Ishiwata
en-aut-mei=Hitoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NakashimaHiromu
en-aut-sei=Nakashima
en-aut-mei=Hiromu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MandićSara
en-aut-sei=Mandić
en-aut-mei=Sara
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KobayashiHina
en-aut-sei=Kobayashi
en-aut-mei=Hina
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=TeramotoMinori
en-aut-sei=Teramoto
en-aut-mei=Minori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=TsujiHirokazu
en-aut-sei=Tsuji
en-aut-mei=Hirokazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NishibayashiYoshiki
en-aut-sei=Nishibayashi
en-aut-mei=Yoshiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=ShikanoYutaka
en-aut-sei=Shikano
en-aut-mei=Yutaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=AnToshu
en-aut-sei=An
en-aut-mei=Toshu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=FujiwaraMasazumi
en-aut-sei=Fujiwara
en-aut-mei=Masazumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
affil-num=1
en-affil=Department of Chemistry, Graduate School of Life, Environmental, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=The National Institutes for Quantum Science and Technology (QST), Institute for Quantum Life Science (iQLS)
kn-affil=
affil-num=3
en-affil=Department of Chemistry, Graduate School of Life, Environmental, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Chemistry, Graduate School of Life, Environmental, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Chemistry, Graduate School of Life, Environmental, Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Advanced Materials Laboratory, Sumitomo Electric Industries, Ltd.
kn-affil=
affil-num=7
en-affil=Advanced Materials Laboratory, Sumitomo Electric Industries, Ltd.
kn-affil=
affil-num=8
en-affil=Advanced Materials Laboratory, Sumitomo Electric Industries, Ltd.
kn-affil=
affil-num=9
en-affil=Institute of Systems and Information Engineering, University of Tsukuba
kn-affil=
affil-num=10
en-affil=School of Materials Science, Japan Advanced Institute of Science and Technology
kn-affil=
affil-num=11
en-affil=Department of Chemistry, Graduate School of Life, Environmental, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=nanodiamonds
kn-keyword=nanodiamonds
en-keyword=nitrogen-vacancy centers
kn-keyword=nitrogen-vacancy centers
en-keyword=spins
kn-keyword=spins
en-keyword=spin-relaxation times
kn-keyword=spin-relaxation times
en-keyword=quantum biosensor
kn-keyword=quantum biosensor
en-keyword=cellular probes
kn-keyword=cellular probes
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=12
article-no=
start-page=789
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241209
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Yoga Pose Difficulty Level Estimation Method Using OpenPose for Self-Practice System to Yoga Beginners
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Yoga is an exercise preferable for various users at different ages to enhance physical and mental health. To help beginner yoga self-practitioners avoid getting injured by selecting difficult yoga poses, the information of the difficulty level of yoga poses is very important to provide an objective metric to assist yoga self-practitioners in selecting appropriate exercises on the basis of their skill level by using the yoga self-practice system. To enhance the developed yoga self-practice system, the yoga difficulty level estimation function will enable users to clearly understand whether the selected yoga poses are suitable for them. In this paper, the newest difficulty level estimation method of yoga poses is proposed by using and analyzing OpenPose two-dimensional (2D) human body keypoints. The proposed method effectively uses the selected six keypoints areas of the upper and lower body, body support types, center of gravity calculations, and body tilt angles and slopes to produce estimations. Firstly, the method calculates the weighted centers of the upper and lower human body for each pose by using keypoints. Secondly, it refers the slope of the centroid line between the two centers and infers the body's balance state. Lastly, the system estimates the difficulty level by additionally considering the keypoints of the body to contact the ground. For evaluations of the proposal, more than one hundred yoga poses are collected from the Internet and applied to classify them into five difficulty levels. Through comparisons with subjective levels from one instructor and 10 users, the validity of the estimation results is confirmed, a comparison is performed with existing designs, and it is implemented in embedded systems.
en-copyright=
kn-copyright=
en-aut-name=ShihCheng-Liang
en-aut-sei=Shih
en-aut-mei=Cheng-Liang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=LiuJun-You
en-aut-sei=Liu
en-aut-mei=Jun-You
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=AnggrainiIrin Tri
en-aut-sei=Anggraini
en-aut-mei=Irin Tri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=XiaoYanqi
en-aut-sei=Xiao
en-aut-mei=Yanqi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=FanChih-Peng
en-aut-sei=Fan
en-aut-mei=Chih-Peng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=
affil-num=2
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=
affil-num=3
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=
en-keyword=yoga
kn-keyword=yoga
en-keyword=self-practice
kn-keyword=self-practice
en-keyword=OpenPose
kn-keyword=OpenPose
en-keyword=pose difficulty level
kn-keyword=pose difficulty level
en-keyword=body keypoint
kn-keyword=body keypoint
END
start-ver=1.4
cd-journal=joma
no-vol=2024
cd-vols=
no-issue=12
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202412
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Multi-dimensional optimisation of the scanning strategy for the LiteBIRD space mission
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Large angular scale surveys in the absence of atmosphere are essential for measuring the primordial B-mode power spectrum of the Cosmic Microwave Background (CMB). Since this proposed measurement is about three to four orders of magnitude fainter than the temperature anisotropies of the CMB, in-flight calibration of the instruments and active suppression of systematic effects are crucial. We investigate the effect of changing the parameters of the scanning strategy on the in-flight calibration effectiveness, the suppression of the systematic effects themselves, and the ability to distinguish systematic effects by null-tests. Next-generation missions such as LiteBIRD, modulated by a Half-Wave Plate (HWP), will be able to observe polarisation using a single detector, eliminating the need to combine several detectors to measure polarisation, as done in many previous experiments and hence avoiding the consequent systematic effects. While the HWP is expected to suppress many systematic effects, some of them will remain. We use an analytical approach to comprehensively address the mitigation of these systematic effects and identify the characteristics of scanning strategies that are the most effective for implementing a variety of calibration strategies in the multi-dimensional space of common spacecraft scan parameters. We verify that LiteBIRD's standard configuration yields good performance on the metrics we studied. We also present Falcons.jl, a fast spacecraft scanning simulator that we developed to investigate this scanning parameter space.
en-copyright=
kn-copyright=
en-aut-name=TakaseY.
en-aut-sei=Takase
en-aut-mei=Y.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=VacherL.
en-aut-sei=Vacher
en-aut-mei=L.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=IshinoH.
en-aut-sei=Ishino
en-aut-mei=H.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=PatanchonG.
en-aut-sei=Patanchon
en-aut-mei=G.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MontierL.
en-aut-sei=Montier
en-aut-mei=L.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=SteverS.L.
en-aut-sei=Stever
en-aut-mei=S.L.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=IshizakaK.
en-aut-sei=Ishizaka
en-aut-mei=K.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NaganoY.
en-aut-sei=Nagano
en-aut-mei=Y.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=WangW.
en-aut-sei=Wang
en-aut-mei=W.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=AumontJ.
en-aut-sei=Aumont
en-aut-mei=J.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=AizawaK.
en-aut-sei=Aizawa
en-aut-mei=K.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=AnandA.
en-aut-sei=Anand
en-aut-mei=A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
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en-affil=Dipartimento di Fisica e Astronomia "G. Galilei", Università degli Studi di Padova
kn-affil=
affil-num=18
en-affil=School of Physics, Indian Institute of Science Education and Research Thiruvananthapuram
kn-affil=
affil-num=19
en-affil=Dipartimento di Fisica, Università degli Studi di Milano
kn-affil=
affil-num=20
en-affil=Dipartimento di Fisica e Scienze della Terra, Università di Ferrara
kn-affil=
affil-num=21
en-affil=Dipartimento di Fisica e Scienze della Terra, Università di Ferrara
kn-affil=
affil-num=22
en-affil=School of Physics and Astronomy, Cardiff University
kn-affil=
affil-num=23
en-affil=INFN Sezione di Ferrara
kn-affil=
affil-num=24
en-affil=IRAP, Université de Toulouse, CNRS, CNES, UPS
kn-affil=
affil-num=25
en-affil=International School for Advanced Studies (SISSA)
kn-affil=
affil-num=26
en-affil=Instituto de Fisica de Cantabria (IFCA, CSIC-UC)
kn-affil=
affil-num=27
en-affil=Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, School of Natural Sciences, The University of Manchester
kn-affil=
affil-num=28
en-affil=Centre Spatial de Liège, Université de Liège
kn-affil=
affil-num=29
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=30
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=31
en-affil=INAF, OAS Bologna
kn-affil=
affil-num=32
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=33
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=34
en-affil=Institute of Particle and Nuclear Studies (IPNS), High Energy Accelerator Research Organization (KEK)
kn-affil=
affil-num=35
en-affil=CNRS-UCB International Research Laboratory, Centre Pierre Binétruy, UMI2007
kn-affil=
affil-num=36
en-affil=INFN Sezione Milano Bicocca
kn-affil=
affil-num=37
en-affil=Max Planck Institute for Astrophysics
kn-affil=
affil-num=38
en-affil=Institute of Theoretical Astrophysics, University of Oslo
kn-affil=
affil-num=39
en-affil=Université Paris Cité, CNRS, Astroparticule et Cosmologie
kn-affil=
affil-num=40
en-affil=INAF, OAS Bologna
kn-affil=
affil-num=41
en-affil=Institute of Theoretical Astrophysics, University of Oslo
kn-affil=
affil-num=42
en-affil=Dipartimento di Fisica e Scienze della Terra, Università di Ferrara
kn-affil=
affil-num=43
en-affil=Institute of Theoretical Astrophysics, University of Oslo
kn-affil=
affil-num=44
en-affil=University of Milano Bicocca, Physics Department
kn-affil=
affil-num=45
en-affil=International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles (QUP), High Energy Accelerator Research Organization (KEK)
kn-affil=
affil-num=46
en-affil=School of Physics and Astronomy, Cardiff University
kn-affil=
affil-num=47
en-affil=Instituto de Fisica de Cantabria (IFCA, CSIC-UC)
kn-affil=
affil-num=48
en-affil=Institute of Theoretical Astrophysics, University of Oslo
kn-affil=
affil-num=49
en-affil=Instituto de Astrofísica de Canarias
kn-affil=
affil-num=50
en-affil=INAF, OAS Bologna
kn-affil=
affil-num=51
en-affil=International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles (QUP), High Energy Accelerator Research Organization (KEK)
kn-affil=
affil-num=52
en-affil=Université Paris-Saclay, CNRS/IN2P3, IJCLab
kn-affil=
affil-num=53
en-affil=Department of Physics and Astronomy, University of British Columbia
kn-affil=
affil-num=54
en-affil=Okayama University, Department of Physics
kn-affil=
affil-num=55
en-affil=Institute of Particle and Nuclear Studies (IPNS), High Energy Accelerator Research Organization (KEK)
kn-affil=
affil-num=56
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=57
en-affil=INFN Sezione di Ferrara
kn-affil=
affil-num=58
en-affil=Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), UTIAS, The University of Tokyo
kn-affil=
affil-num=59
en-affil=Dipartimento di Fisica e Scienze della Terra, Università di Ferrara
kn-affil=
affil-num=60
en-affil=Laboratoire de Physique de l'École Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris
kn-affil=
affil-num=61
en-affil=University of California, San Diego, Department of Physics
kn-affil=
affil-num=62
en-affil=Aurora Technology for the European Space Agency
kn-affil=
affil-num=63
en-affil=Space Science Data Center, Italian Space Agency
kn-affil=
affil-num=64
en-affil=Université Paris-Saclay, CNRS, Institut d'Astrophysique Spatiale
kn-affil=
affil-num=65
en-affil=Instituto de Fisica de Cantabria (IFCA, CSIC-UC)
kn-affil=
affil-num=66
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=67
en-affil=Dipartimento di Fisica e Astronomia "G. Galilei", Università degli Studi di Padova
kn-affil=
affil-num=68
en-affil=Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS)
kn-affil=
affil-num=69
en-affil=Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), UTIAS, The University of Tokyo
kn-affil=
affil-num=70
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=71
en-affil=Dipartimento di Fisica, Università di Roma Tor Vergata
kn-affil=
affil-num=72
en-affil=Max Planck Institute for Astrophysics
kn-affil=
affil-num=73
en-affil=INAF, OAS Bologna
kn-affil=
affil-num=74
en-affil=IRAP, Université de Toulouse, CNRS, CNES, UPS
kn-affil=
affil-num=75
en-affil=Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS)
kn-affil=
affil-num=76
en-affil=Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), UTIAS, The University of Tokyo
kn-affil=
affil-num=77
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=78
en-affil=Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS)
kn-affil=
affil-num=79
en-affil=Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS)
kn-affil=
affil-num=80
en-affil=Okayama University, Department of Physics
kn-affil=
affil-num=81
en-affil=Dipartimento di Fisica e Scienze della Terra, Università di Ferrara
kn-affil=
affil-num=82
en-affil=INAF, OAS Bologna
kn-affil=
affil-num=83
en-affil=Dipartimento di Fisica, Università La Sapienza
kn-affil=
affil-num=84
en-affil=INFN Sezione di Pisa
kn-affil=
affil-num=85
en-affil=Space Science Data Center, Italian Space Agency
kn-affil=
affil-num=86
en-affil=Istituto Nazionale di Fisica Nucleare-aboratori Nazionali di Frascati (INFN-LNF)
kn-affil=
affil-num=87
en-affil=Dipartimento di Fisica e Scienze della Terra, Università di Ferrara
kn-affil=
affil-num=88
en-affil=Instituto de Fisica de Cantabria (IFCA, CSIC-UC)
kn-affil=
affil-num=89
en-affil=Dipartimento di Fisica, Università di Roma Tor Vergata
kn-affil=
affil-num=90
en-affil=Instituto de Fisica de Cantabria (IFCA, CSIC-UC)
kn-affil=
affil-num=91
en-affil=Suwa University of Science
kn-affil=
affil-num=92
en-affil=Department of Physics and Astronomy, University of British Columbia
kn-affil=
affil-num=93
en-affil=Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS)
kn-affil=
affil-num=94
en-affil=Suwa University of Science
kn-affil=
affil-num=95
en-affil=Dipartimento di Fisica, Università di Pisa
kn-affil=
affil-num=96
en-affil=Department of Physics and Astronomy, University of British Columbia
kn-affil=
affil-num=97
en-affil=Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS)
kn-affil=
affil-num=98
en-affil=INAF, OAS Bologna
kn-affil=
affil-num=99
en-affil=Dipartimento di Fisica, Università degli Studi di Milano
kn-affil=
affil-num=100
en-affil=Université Paris-Saclay, CNRS/IN2P3, IJCLab
kn-affil=
affil-num=101
en-affil=Université Paris-Saclay, CNRS/IN2P3, IJCLab
kn-affil=
affil-num=102
en-affil=Instituto de Fisica de Cantabria (IFCA, CSIC-UC)
kn-affil=
affil-num=103
en-affil=Institute of Theoretical Astrophysics, University of Oslo
kn-affil=
affil-num=104
en-affil=University of California, Berkeley, Department of Physics, Berkeley
kn-affil=
affil-num=105
en-affil=Université Paris-Saclay, CNRS/IN2P3, IJCLab
kn-affil=
affil-num=106
en-affil=NASA Goddard Space Flight Center
kn-affil=
affil-num=107
en-affil=University of Milano Bicocca, Physics Department
kn-affil=
affil-num=108
en-affil=International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles (QUP), High Energy Accelerator Research Organization (KEK)
kn-affil=
en-keyword=CMBR experiments
kn-keyword=CMBR experiments
en-keyword=CMBR polarisation
kn-keyword=CMBR polarisation
en-keyword=gravitational waves and CMBR polarization
kn-keyword=gravitational waves and CMBR polarization
END
start-ver=1.4
cd-journal=joma
no-vol=19
cd-vols=
no-issue=1
article-no=
start-page=JAMDSM0001
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=2025
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Development of tool life prediction system for square end-mills based on database of servo motor current value
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Accurate prediction of tool life is crucial for reducing production costs and enhancing quality in the machining process. However, such predictions often rely on empirical knowledge, which may limit inexperienced engineers to reliably obtain accurate predictions. This study explores a method to predict the tool life of a cutting machine using servo motor current data collected during the initial stages of tool wear, which is a cost-effective approach. The LightGBM model was identified as suitable for predicting tool life from current data, given the challenges associated with predicting from the average variation of current values. By identifying and utilizing the top 50 features from the current data for prediction, the accuracy of tool life prediction in the early wear stage improved. As this prediction method was developed based on current data obtained during the very early wear stage in experiments with square end-mills, it was tested on extrapolated data using different end-mill diameters. The findings revealed average accuracy rates of 71.2% and 69.4% when using maximum machining time and maximum removal volume as thresholds, respectively.
en-copyright=
kn-copyright=
en-aut-name=KODAMAHiroyuki
en-aut-sei=KODAMA
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SUZUKIMakoto
en-aut-sei=SUZUKI
en-aut-mei=Makoto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OHASHIKazuhito
en-aut-sei=OHASHI
en-aut-mei=Kazuhito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate school of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Milling
kn-keyword=Milling
en-keyword=LightGBM
kn-keyword=LightGBM
en-keyword=Tool life prediction
kn-keyword=Tool life prediction
en-keyword=Square end-mill
kn-keyword=Square end-mill
en-keyword=Servo motor current
kn-keyword=Servo motor current
END
start-ver=1.4
cd-journal=joma
no-vol=2
cd-vols=
no-issue=3
article-no=
start-page=620
end-page=626
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=2023
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=All-in-one terahertz taste sensor: integrated electronic and bioelectronic tongues
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Taste sensors, also known as electronic tongues or bioelectronic tongues, are designed to evaluate food and beverages, as well as for medical diagnostics. These devices mimic the ability of the human tongue to detect and identify different tastes in liquid samples, such as sweet, sour, salty, bitter, and umami. In this study, a novel all-in-one terahertz taste sensor was proposed, which differs from traditional electrochemical approaches. This sensor utilizes terahertz technology for imaging and sensing chemical reactions on the terahertz semiconductor emitter surface. The surface can be functionalized with ion-sensitive membranes, proteins, DNA aptamers, and organic receptors, enabling the detection of various substances, such as solution pH, physiological ions, sugars, toxic chemicals, drugs, and explosives. Terahertz taste sensors offer several advantages, including being label-free, high sensitivity and selectivity, rapid response, minimal sample consumption, and the ability to detect non-charged chemical substances. By integrating multiple receptors or sensing materials on a single chip, the all-in-one terahertz taste sensor has significant potential for future taste substance detection, nutrition evaluation, metabolite and drug monitoring, and biomarker sensing.
en-copyright=
kn-copyright=
en-aut-name=WangJin
en-aut-sei=Wang
en-aut-mei=Jin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SakaiKenji
en-aut-sei=Sakai
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KiwaToshihiko
en-aut-sei=Kiwa
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=35
cd-vols=
no-issue=1
article-no=
start-page=65
end-page=73
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230220
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Development of Automatic Inspection Systems for WRS2020 Plant Disaster Prevention Challenge Using Image Processing
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In this article, an approach used for the inspection tasks in the WRS2020 Plant Disaster Prevention Challenge is explained. The tasks were categorized into three categories: reading pressure gauges, inspecting rust on a tank, and inspecting cracks in a tank. For reading pressure gauges, the “you only look once” algorithm was used to focus on a specific pressure gauge and check the pressure gauge range strings on the gauge using optical character recognition algorithm. Finally, a previously learned classifier was used to read the values shown in the gauge. For rust inspection, image processes were used to focus on a target plate that may be rusted for rust detection. In particular, it was necessary to report the rust area and distribution type. Thus, the pixel ratio and grouping of rust were used to count the rust. The approach for crack inspection was similar to that for rust. The target plate was focused on first, and then the length of the crack was measured using image processing. Its width was not measured but was calculated using the crack area and length. For each system developed to approach each task, the results of the preliminary experiment and those of WRS2020 are shown. Finally, the approaches are summarized, and planned future work is discussed.
en-copyright=
kn-copyright=
en-aut-name=ShimizuYuya
en-aut-sei=Shimizu
en-aut-mei=Yuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KamegawaTetsushi
en-aut-sei=Kamegawa
en-aut-mei=Tetsushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=WangYongdong
en-aut-sei=Wang
en-aut-mei=Yongdong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TamuraHajime
en-aut-sei=Tamura
en-aut-mei=Hajime
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TeshimaTaiga
en-aut-sei=Teshima
en-aut-mei=Taiga
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=NakanoSota
en-aut-sei=Nakano
en-aut-mei=Sota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=TadaYuki
en-aut-sei=Tada
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NakanoDaiki
en-aut-sei=Nakano
en-aut-mei=Daiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=SasakiYuichi
en-aut-sei=Sasaki
en-aut-mei=Yuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=SekitoTaiga
en-aut-sei=Sekito
en-aut-mei=Taiga
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=UtsumiKeisuke
en-aut-sei=Utsumi
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=NagaoRai
en-aut-sei=Nagao
en-aut-mei=Rai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=SembaMizuki
en-aut-sei=Semba
en-aut-mei=Mizuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
affil-num=1
en-affil=Okayama University
kn-affil=
affil-num=2
en-affil=Okayama University
kn-affil=
affil-num=3
en-affil=Okayama University
kn-affil=
affil-num=4
en-affil=Okayama University
kn-affil=
affil-num=5
en-affil=Okayama University
kn-affil=
affil-num=6
en-affil=Okayama University
kn-affil=
affil-num=7
en-affil=Okayama University
kn-affil=
affil-num=8
en-affil=Okayama University
kn-affil=
affil-num=9
en-affil=Okayama University
kn-affil=
affil-num=10
en-affil=Okayama University
kn-affil=
affil-num=11
en-affil=Okayama University
kn-affil=
affil-num=12
en-affil=Okayama University
kn-affil=
affil-num=13
en-affil=Okayama University
kn-affil=
en-keyword=WRS2020
kn-keyword=WRS2020
en-keyword=image processing
kn-keyword=image processing
en-keyword=auto inspection
kn-keyword=auto inspection
en-keyword=YOLO
kn-keyword=YOLO
en-keyword=OCR
kn-keyword=OCR
END
start-ver=1.4
cd-journal=joma
no-vol=101
cd-vols=
no-issue=5
article-no=
start-page=1030
end-page=1037.e5
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202505
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Short- and longer-term learning effects from virtual scale endoscopy videos: a useful tool for colorectal lesion size estimation (with videos)
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background and Aims: Accurate assessment of colorectal polyp size is crucial for determining treatment and surveillance policies. However, visual estimation of lesion diameter is often inaccurate, making simple and effective educational tools essential. We aimed to evaluate the learning effects of virtual scale endoscopy (VSE).
Methods: Thirty-three endoscopists first watched prelearning videos for SET1. They then estimated the diameters of 20 lesions and referred to instructional videos with VSE for self-study. Subsequently, they watched the postlearning videos for SET2 and estimated the lesion diameters. The error between the estimated and correct lesion sizes of both sets was compared. To evaluate longer-term learning effects, participants answered SET3 and SET4, which consisted of the same questions as SET2 and SET1, respectively, but 2 to 3 months later without watching the instructional video for SET2.
Results: The error in the participants’ estimation of the correct lesion diameter improved from SET1 to SET2 (34.7 ± 6.6 mm vs 30.7 ± 7.7 mm, P = .048), with a significant learning effect and error improvement specifically among nonexperts (35.2 ± 5.3 mm vs 30 ± 6.8 mm, P = .028). In SET3 and SET4, participants’ errors indicated that the learning effect was well maintained (SET2 vs SET3: 30.7 ± 7.7 mm vs 28.6 ± 7.2 mm [P = .1]; SET1 vs SET4: 34.7 ± 6.6 mm vs 31.7 ± 7.1 mm [P = .025]).
Conclusions: VSE videos are a valuable learning tool for estimating lesion diameter, particularly for novice endoscopists, both in the short and longer term.
en-copyright=
kn-copyright=
en-aut-name=HiraiRyosuke
en-aut-sei=Hirai
en-aut-mei=Ryosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KinugasaHideaki
en-aut-sei=Kinugasa
en-aut-mei=Hideaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=IshiguroMikako
en-aut-sei=Ishiguro
en-aut-mei=Mikako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ToyosawaJunki
en-aut-sei=Toyosawa
en-aut-mei=Junki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=AoyamaYuki
en-aut-sei=Aoyama
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=IgawaShoko
en-aut-sei=Igawa
en-aut-mei=Shoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=YamasakiYasushi
en-aut-sei=Yamasaki
en-aut-mei=Yasushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=InokuchiToshihiro
en-aut-sei=Inokuchi
en-aut-mei=Toshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=TakaharaMasahiro
en-aut-sei=Takahara
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=KawanoSeiji
en-aut-sei=Kawano
en-aut-mei=Seiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=HiraokaSakiko
en-aut-sei=Hiraoka
en-aut-mei=Sakiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=OtsukaMotoyuki
en-aut-sei=Otsuka
en-aut-mei=Motoyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
affil-num=1
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=11
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=12
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=30
cd-vols=
no-issue=1
article-no=
start-page=24
end-page=28
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202407
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Initial trial of three‑lead wearable electrocardiogram monitoring in a full marathon
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Sudden cardiac arrest during exercise can occur without prior warning signs at rest, highlighting the importance of monitoring for its prevention. To detect the signs of ischemic heart disease, including coronary artery anomalies, ST changes must be detected using three‑lead electrocardiograms (ECGs) corresponding to each region of the three coronary artery branches. We conducted ECG monitoring of five runners during a marathon using a wearable three‑lead ECG device (e-skin ECG; Xenoma Inc., Tokyo, Japan). Data without noise or artifacts were successfully collected for one of five runners during the entire marathon. Within the initial hour of the marathon, poor electrode adhesion to the skin hindered the data collection for the remaining four runners, which resulted in significantly decreased acquisition rate compared with the first hour (86.7 ± 13.4 % to 37.3 ± 36.9 %, p = 0.028). Couplets of premature ventricular contractions with clear ECG waveforms in the three leads were detected in one runner during the marathon. Further device improvements are necessary to enable marathon runners to obtain ECGs efficiently without affecting their performance. This study also demonstrated the potential applications of three‑lead wearable ECG monitoring for other short-duration sports and remote home-based cardiac rehabilitation.
en-copyright=
kn-copyright=
en-aut-name=HiraiKenta
en-aut-sei=Hirai
en-aut-mei=Kenta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SakanoNoriko
en-aut-sei=Sakano
en-aut-mei=Noriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OozawaSusumu
en-aut-sei=Oozawa
en-aut-mei=Susumu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=OusakaDaiki
en-aut-sei=Ousaka
en-aut-mei=Daiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KurokoYosuke
en-aut-sei=Kuroko
en-aut-mei=Yosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KasaharaShingo
en-aut-sei=Kasahara
en-aut-mei=Shingo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Department of Pediatrics, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science
kn-affil=
affil-num=2
en-affil=Department of Cardiovascular Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science
kn-affil=
affil-num=3
en-affil=Department of Clinical Safety, Okayama University Hospital
kn-affil=
affil-num=4
en-affil=Department of Pharmacology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science
kn-affil=
affil-num=5
en-affil=Department of Cardiovascular Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science
kn-affil=
affil-num=6
en-affil=Department of Cardiovascular Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science
kn-affil=
en-keyword=Sudden cardiac arrest
kn-keyword=Sudden cardiac arrest
en-keyword=Sports cardiology
kn-keyword=Sports cardiology
en-keyword=Electrocardiogram
kn-keyword=Electrocardiogram
en-keyword=Wearable device
kn-keyword=Wearable device
en-keyword=Cardiac rehabilitation
kn-keyword=Cardiac rehabilitation
en-keyword=Coronary artery anomalies
kn-keyword=Coronary artery anomalies
END
start-ver=1.4
cd-journal=joma
no-vol=45
cd-vols=
no-issue=1
article-no=
start-page=11
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230323
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Mutation and apoptosis are well-coordinated for protecting against DNA damage-inducing toxicity in Drosophila
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background Apoptotic cell death is an important survival system for multicellular organisms because it removes damaged cells. Mutation is also a survival method for dealing with damaged cells in multicellular and also unicellular organisms, when DNA lesions are not removed. However, to the best of our knowledge, no reports have comprehensively explored the direct relationship between apoptosis and somatic cell mutations induced by various mutagenic factors.
Results Mutation was examined by the wing-spot test, which is used to detect somatic cell mutations, including chromosomal recombination. Apoptosis was observed in the wing discs by acridine orange staining in situ. After treatment with chemical mutagens, ultraviolet light (UV), and X-ray, both the apoptotic frequency and mutagenic activity increased in a dose-dependent manner at non-toxic doses. When we used DNA repair-deficient Drosophila strains, the correlation coefficient of the relationship between apoptosis and mutagenicity, differed from that of the wild-type. To explore how apoptosis affects the behavior of mutated cells, we determined the spot size, i.e., the number of mutated cells in a spot. In parallel with an increase in apoptosis, the spot size increased with MNU or X-ray treatment dose-dependently; however, this increase was not seen with UV irradiation. In addition, BrdU incorporation, an indicator of cell proliferation, in the wing discs was suppressed at 6 h, with peak at 12 h post-treatment with X-ray, and that it started to increase again at 24 h; however, this was not seen with UV irradiation.
Conclusion Damage-induced apoptosis and mutation might be coordinated with each other, and the frequency of apoptosis and mutagenicity are balanced depending on the type of DNA damage. From the data of the spot size and BrdU incorporation, it is possible that mutated cells replace apoptotic cells due to their high frequency of cell division, resulting in enlargement of the spot size after MNU or X-ray treatment. We consider that the induction of mutation, apoptosis, and/or cell growth varies in multi-cellular organisms depending on the type of the mutagens, and that their balance and coordination have an important function to counter DNA damage for the survival of the organism.
en-copyright=
kn-copyright=
en-aut-name=Toyoshima-SasataniMegumi
en-aut-sei=Toyoshima-Sasatani
en-aut-mei=Megumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=ImuraFumika
en-aut-sei=Imura
en-aut-mei=Fumika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HamatakeYuko
en-aut-sei=Hamatake
en-aut-mei=Yuko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FukunagaAkihiro
en-aut-sei=Fukunaga
en-aut-mei=Akihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NegishiTomoe
en-aut-sei=Negishi
en-aut-mei=Tomoe
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=School of Nursing, Osaka City University
kn-affil=
affil-num=5
en-affil=Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Drosophila
kn-keyword=Drosophila
en-keyword=Apoptosis
kn-keyword=Apoptosis
en-keyword=Mutation
kn-keyword=Mutation
en-keyword=Larval wing disc
kn-keyword=Larval wing disc
en-keyword=X-ray
kn-keyword=X-ray
en-keyword=Ultraviolet
kn-keyword=Ultraviolet
en-keyword=Alkylating agents
kn-keyword=Alkylating agents
en-keyword=Tobacco smoke
kn-keyword=Tobacco smoke
en-keyword=Acridine orange
kn-keyword=Acridine orange
en-keyword=BrdU
kn-keyword=BrdU
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=1
end-page=8
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=2023
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Transepidermal Water Loss Estimation Model for Evaluating Skin Barrier Function
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Deterioration of skin barrier function causes symptoms such as allergies because it allows various chemical substances to enter the human body. Quantitative evaluation of the thickness and water content of the stratum corneum is useful as a measure of skin barrier function in fields such as dermatology, nursing science, and cosmetics development. The stratum corneum is responsible for most of the skin barrier function, and this function has conventionally been evaluated using transepidermal water loss (TEWL). In this paper, we propose a new model for estimation of TEWL from measurements of the thickness of the stratum corneum and water content of the surface of the stratum corneum, and discuss the results of the measurements. By measuring the thickness and water content of the stratum corneum using confocal laser microscopy and confocal Raman spectroscopy, respectively, and examining the relationship of these variables with TEWL, we established a new potential model for estimating TEWL from these two variables. The correlation coefficient of the validation data was 0.886 and the root mean squared error was 8.18 points. These findings indicate the feasibility of qualitative evaluation of TEWL by measuring the thickness and water content of the stratum corneum.
en-copyright=
kn-copyright=
en-aut-name=UeharaOsamu
en-aut-sei=Uehara
en-aut-mei=Osamu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KusuharaToshimasa
en-aut-sei=Kusuhara
en-aut-mei=Toshimasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NakamuraTakao
en-aut-sei=Nakamura
en-aut-mei=Takao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Medical Engineering Laboratory, ALCARE Co., Ltd.
kn-affil=
affil-num=2
en-affil=Department of Radiological Technology, Graduate School of Health Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Radiological Technology, Graduate School of Health Sciences, Okayama University
kn-affil=
en-keyword=TEWL
kn-keyword=TEWL
en-keyword=stratum corneum thickness
kn-keyword=stratum corneum thickness
en-keyword=water content of stratum corneum
kn-keyword=water content of stratum corneum
END
start-ver=1.4
cd-journal=joma
no-vol=187
cd-vols=
no-issue=
article-no=
start-page=53
end-page=67
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241206
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Comparison of Acoustic Characteristics of Performances Conducted in Different Ways and Examination of Impression Investigations of the Performances
kn-title=指揮状況の違いによる音響特性の比較と演奏の印象調査の検討
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= 筆者等は,音楽授業での指揮状況を向上させる方策として,授業での教員の立ち位置と指揮の仕方に注目した。異なる立ち位置と異なる指揮の仕方で演奏した場合,各々の演奏が音響学的にどのように変化するのか音カメラ装置で測定した。併せて,各々の演奏に対して受講学生の印象調査を行った。音響特性から,指揮の仕方によって,音節が明瞭になること(スペクトログラムの濃さ),ビブラートに変化が見られること(「ゆれ」の表れ),音量が変化すること(音圧レベル),音価が異なってくること(時間軸波形)が示された。印象調査からは,指揮者が,ピアノの位置で指揮をするのに比べて,合唱者の前で指揮をすることで,アゴーギク,ディナーミック,表現の豊かさに対する演奏の評価が大きく反転した。指揮の仕方では,形式的な指揮に比べて,音楽的な要素を入れた指揮をすると,アゴーギク,ディナーミック,息の流れの演奏評価が高くなった。さらに,音響特性と音楽表現との関連性が視覚的に確認され,特に,「ゆれ」(ビブラート)の頻出は,音楽表現を豊かにすることが示された。
en-copyright=
kn-copyright=
en-aut-name=MUSHIAKIMasako
en-aut-sei=MUSHIAKI
en-aut-mei=Masako
kn-aut-name=虫明眞砂子
kn-aut-sei=虫明
kn-aut-mei=眞砂子
aut-affil-num=1
ORCID=
en-aut-name=ZAIMATakefumi
en-aut-sei=ZAIMA
en-aut-mei=Takefumi
kn-aut-name=財満健史
kn-aut-sei=財満
kn-aut-mei=健史
aut-affil-num=2
ORCID=
en-aut-name=OWAKIMasanao
en-aut-sei=OWAKI
en-aut-mei=Masanao
kn-aut-name=大脇雅直
kn-aut-sei=大脇
kn-aut-mei=雅直
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Faculty of Education, Okayama University
kn-affil=岡山大学名誉教授
affil-num=2
en-affil=Technical Research &Development Institute, Kumagaigumi Co., Ltd.
kn-affil=株式会社熊谷組 技術本部 技術研究所 環境工学研究室
affil-num=3
en-affil=Technical Research &Development Division, Kumagaigumi Co., Ltd.
kn-affil=株式会社熊谷組 技術本部
en-keyword=指揮
kn-keyword=指揮
en-keyword=音響特性
kn-keyword=音響特性
en-keyword=印象調査
kn-keyword=印象調査
en-keyword=比較
kn-keyword=比較
en-keyword=演奏
kn-keyword=演奏
END
start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=23
article-no=
start-page=7428
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241121
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The Design and Implementation of Kerberos-Blockchain Vehicular Ad-Hoc Networks Authentication Across Diverse Network Scenarios
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Vehicular Ad-Hoc Networks (VANETs) play an essential role in the intelligent transportation era, furnishing users with essential roadway data to facilitate optimal route selection and mitigate the risk of accidents. However, the network exposure makes VANETs susceptible to cyber threats, making authentication crucial for ensuring security and integrity. Therefore, joining entity verification is essential to ensure the integrity and security of communication in VANETs. However, to authenticate the entities, authentication time should be minimized to guarantee fast and secure authentication procedures. We propose an authentication system for VANETs using blockchain and Kerberos for storing authentication messages in a blockchain ledger accessible to Trusted Authentication Servers (TASs) and Roadside Units (RSUs). We evaluate the system in three diverse network scenarios: suburban, urban with 1 TAS, and urban with 2 TASs. The findings reveal that this proposal is applicable in diverse network scenarios to fulfill the network requirements, including authentication, handover, and end-to-end delay, considering an additional TAS for an increasing number of vehicles. The system is also practicable in storing the authentication message in blockchain considering the gas values and memory size for all scenarios.
en-copyright=
kn-copyright=
en-aut-name=RahayuMaya
en-aut-sei=Rahayu
en-aut-mei=Maya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HossainMd. Biplob
en-aut-sei=Hossain
en-aut-mei=Md. Biplob
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HudaSamsul
en-aut-sei=Huda
en-aut-mei=Samsul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KoderaYuta
en-aut-sei=Kodera
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=AliMd. Arshad
en-aut-sei=Ali
en-aut-mei=Md. Arshad
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=NogamiYasuyuki
en-aut-sei=Nogami
en-aut-mei=Yasuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Green Innovation Center, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Faculty of CSE, Hajee Mohammad Danesh Science and Technology University
kn-affil=
affil-num=6
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Vehicular Ad-Hoc Network
kn-keyword=Vehicular Ad-Hoc Network
en-keyword=Kerberos authentication
kn-keyword=Kerberos authentication
en-keyword=blockchain
kn-keyword=blockchain
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=29419
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241127
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=ADAR1 could be a potential diagnostic target for intrauterine infection patients
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Intrauterine infection (IUI) is mainly an ascending infection in which vaginal and cervical pathogens ascend to the uterus and can affect the fetus. Until now, there is still no effective diagnostic biomarker for IUI, such as chorioamnionitis (CAM) and funisitis (FUN). Deoxyribonucleic acid (DNA)/Ribonucleic acid (RNA) editing molecules such as apolipoprotein-B mRNA-editing complex (APOBEC) 3 families and Adenosine deaminase family acting on RNA (ADAR)1 were examined in chorioamniotic membranes and umbilical cord of 83 patient samples. Furthermore, Ureaplasma parvum induced ADAR1 was investigated in human HTR-8/SVneo EVT cell line. ADAR1 had a significantly higher area under the curve (AUC) (0.721 and 0.745) than other APOBEC3s or cytokines in CAM and FUN patients. In vitro, ureaplasma parvum was demonstrated to activate ADAR1 (p = 0.025) and reduce RIG-I, IRF3, IFN-α, and IFN-β expression in EVT cell line (p = 0.005, p = 0.010, p < 0.001, and p = 0.018, respectively). High expression of ADAR1 was strongly associated with CAM and FUN patients (multivariate analyses; p = 0.035 and p = 0.002). ADAR1 could be a potential diagnostic target for IUI, such as CAM and FUN patients.
en-copyright=
kn-copyright=
en-aut-name=NakamuraKeiichiro
en-aut-sei=Nakamura
en-aut-mei=Keiichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=ShigeyasuKunitoshi
en-aut-sei=Shigeyasu
en-aut-mei=Kunitoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=VuThuy Ha
en-aut-sei=Vu
en-aut-mei=Thuy Ha
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MakiJota
en-aut-sei=Maki
en-aut-mei=Jota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=OkamotoKazuhiro
en-aut-sei=Okamoto
en-aut-mei=Kazuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MasuyamaHisashi
en-aut-sei=Masuyama
en-aut-mei=Hisashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Department of Obstetrics and Gynecology, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=2
en-affil=Department of Gastroenterological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=3
en-affil=Department of Obstetrics and Gynecology, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=4
en-affil=Department of Obstetrics and Gynecology, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=5
en-affil=Department of Obstetrics and Gynecology, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
affil-num=6
en-affil=Department of Obstetrics and Gynecology, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
kn-affil=
en-keyword=ADAR1
kn-keyword=ADAR1
en-keyword=Chorioamnionitis
kn-keyword=Chorioamnionitis
en-keyword=Funisitis
kn-keyword=Funisitis
en-keyword=Intrauterine infection
kn-keyword=Intrauterine infection
en-keyword=Diagnostic biomarker
kn-keyword=Diagnostic biomarker
END
start-ver=1.4
cd-journal=joma
no-vol=306
cd-vols=
no-issue=
article-no=
start-page=109175
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202412
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Regional-scale evaluation of tertiary irrigation system in Muda Irrigation Scheme from space
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A tertiary irrigation system is essential for efficient water management in large-scale irrigation scheme and requires regular evaluation to understand their effectiveness. The current water balance method for tertiary irrigation system evaluation requires extensive data, making continuous monitoring over vast areas unfeasible. A better approach using geospatial data from the Google Earth Engine (GEE) is introduces to evaluate the efficiency of tertiary irrigation systems on a regional scale, aiding water management strategies. This study aims to (1) define the rice cultivation boundary for accurate data collection and (2) quantitatively evaluate irrigation system performance using specific indicators. Remote sensing evapotranspiration (RS-ET) and yield derived from Normalized Difference Vegetation Index (NDVI) were collected within rice cultivation boundary across 60 irrigation blocks, including 14 blocks equipped with tertiary irrigation system in Region II of the Muda Irrigation Scheme. Three irrigation system performance indicators (equity, adequacy, and water productivity) were used as a key metric in over four rice-growing seasons to evaluate tertiary irrigation system. Results reveal that tertiary irrigation system performance varies with the current three-phase water management strategy. Equity performance was highest during the off-season, particularly in phase 1 (2–8 %). Adequacy was moderate across all phases and seasons (median: 0.6–0.67), while water productivity showed consistent strength in phases 1 and 3, with fluctuations in phase 2, across seasons. This study underscores the cost-effectiveness and efficiency of using geospatial data from space for continuous regional-scale monitoring, highlighting areas for improvement in the current water management strategy.
en-copyright=
kn-copyright=
en-aut-name=ZahirAliya Mhd
en-aut-sei=Zahir
en-aut-mei=Aliya Mhd
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SomuraHiroaki
en-aut-sei=Somura
en-aut-mei=Hiroaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MoroizumiToshitsugu
en-aut-sei=Moroizumi
en-aut-mei=Toshitsugu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=Water management
kn-keyword=Water management
en-keyword=Remote sensing
kn-keyword=Remote sensing
en-keyword=Irrigation performance
kn-keyword=Irrigation performance
en-keyword=Irrigation system
kn-keyword=Irrigation system
en-keyword=Earth observation data
kn-keyword=Earth observation data
en-keyword=Muda Irrigation Scheme
kn-keyword=Muda Irrigation Scheme
END
start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=22
article-no=
start-page=7382
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241119
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Microdetection of Nucleocapsid Proteins via Terahertz Chemical Microscope Using Aptamers
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In the detection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), several methods have been employed, including the detection of viral ribonucleic acid (RNA), nucleocapsid (N) proteins, spike proteins, and antibodies. RNA detection, primarily through polymerase chain reaction tests, targets the viral genetic material, whereas antigen tests detect N and spike proteins to identify active infections. In addition, antibody tests are performed to measure the immune response, indicating previous exposure or vaccination. Here, we used the developed terahertz chemical microscope (TCM) to detect different concentrations of N protein in solution by immobilizing aptamers on a semiconductor substrate (sensing plate) and demonstrated that the terahertz amplitude varies as the concentration of N proteins increases, exhibiting a highly linear relationship with a coefficient of determination (R2 = 0.9881), indicating that a quantitative measurement of N proteins is achieved. By optimizing the reaction conditions, we confirmed that the amplitude of the terahertz wave was independent of the solution volume. Consequently, trace amounts (0.5 μL) of the N protein were successfully detected, and the detection process only took 10 min. Therefore, this study is expected to develop a rapid and sensitive method for the detection and observation of the SARS-CoV-2 virus at a microdetection level. It is anticipated that this research will significantly contribute to reducing the spread of novel infectious diseases in the future.
en-copyright=
kn-copyright=
en-aut-name=DingXue
en-aut-sei=Ding
en-aut-mei=Xue
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MurakamiMana
en-aut-sei=Murakami
en-aut-mei=Mana
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=WangJin
en-aut-sei=Wang
en-aut-mei=Jin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=InoueHirofumi
en-aut-sei=Inoue
en-aut-mei=Hirofumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KiwaToshihiko
en-aut-sei=Kiwa
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Medicine Dentistry and Pharmaceutical Sciences, Okayama University Hospital
kn-affil=
affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=terahertz chemical microscope
kn-keyword=terahertz chemical microscope
en-keyword=aptamers
kn-keyword=aptamers
en-keyword=N protein
kn-keyword=N protein
en-keyword=microdetection
kn-keyword=microdetection
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=線維化を伴う膵がん微小環境の立体培養法による新規in vitroモデルの構築と解析
kn-title=Establishment and Analysis of Novel In Vitro 3D Cell Culture Models of the Fibrotic Tumor Microenvironment in Pancreatic Cancer
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=TANAKAHiroyoshi
en-aut-sei=TANAKA
en-aut-mei=Hiroyoshi
kn-aut-name=田中啓祥
kn-aut-sei=田中
kn-aut-mei=啓祥
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Okayama University
kn-affil=岡山大学大学院
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=ラットモデルにおけるくも膜下出血発症後急性期における脳波抑制は早期脳損傷の重要なマーカーである
kn-title=Power suppression in EEG after the onset of SAH is a significant marker of early brain injury in rat models
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=TAKASUGIYuji
en-aut-sei=TAKASUGI
en-aut-mei=Yuji
kn-aut-name=髙杉祐二
kn-aut-sei=髙杉
kn-aut-mei=祐二
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=コンピュータービジョンによる食事摂取量推定技術
kn-title=Computer Vision Systems for Estimating Food Consumption in a Hospital Setting
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=YUITA ARUM SARI
en-aut-sei=YUITA ARUM SARI
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=岡山大学大学院ヘルスシステム統合科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=コンピュータ・ビジョンによる動物体検出技術と精子品質推定への応用
kn-title=Computer Vision-based Motion Segmentation and Its Application for Sperm Quality Estimation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=SIGIT ADINUGROHO
en-aut-sei=SIGIT ADINUGROHO
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=岡山大学大学院ヘルスシステム統合科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=前核サイズの決定因子に関する研究:細胞質量と染色体数
kn-title=Study on determinants of pronuclear size: cytoplasmic volume and chromosome number
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=XIAOWEI
en-aut-sei=XIAO
en-aut-mei=WEI
kn-aut-name=肖維
kn-aut-sei=肖
kn-aut-mei=維
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=岡山大学大学院環境生命科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=AIと航空機による河川インフラと河川環境のモニタリング
kn-title=Monitoring of Riparian Infrastructure and Riverine Environment using AI and Air Vehicles
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=PANShijun
en-aut-sei=PAN
en-aut-mei=Shijun
kn-aut-name=潘是均
kn-aut-sei=潘
kn-aut-mei=是均
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=岡山大学大学院環境生命科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=ロボット操作のための視覚情報処理を用いた不定形ひもの状態認識手法
kn-title=Recognition Methodology of Deformable String State Using Visual Information Processing for Robotic Manipulation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=WANGJUNXIANG
en-aut-sei=WANG
en-aut-mei=JUNXIANG
kn-aut-name=王俊祥
kn-aut-sei=王
kn-aut-mei=俊祥
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=ELiPSベースの暗号文ポリシー属性ベース暗号
kn-title=ELiPS-based Ciphertext-Policy Attribute-Based Encryption
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=LE HOANG ANH
en-aut-sei=LE HOANG ANH
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=IoTアプリケーション・システムのための統合サーバ・プラットフォームに関する研究
kn-title=A Study of Integrated Server Platform for IoT Application Systems
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=YOHANES YOHANIE FRIDELIN PANDUMAN
en-aut-sei=YOHANES YOHANIE FRIDELIN PANDUMAN
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=ユーザPCコンピューティングシステムにおける均一ジョブのワーカ割当アルゴリズムに関する研究
kn-title=A Study of Uniform Job Assignment Algorithms to Workers in User-PC Computing System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=ZHOUXUDONG
en-aut-sei=ZHOU
en-aut-mei=XUDONG
kn-aut-name=周旭東
kn-aut-sei=周
kn-aut-mei=旭東
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=300
cd-vols=
no-issue=6
article-no=
start-page=107360
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202406
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Nonspecific N-terminal tetrapeptide insertions disrupt the translation arrest induced by ribosome-arresting peptide sequences
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The nascent polypeptide chains passing through the ribosome tunnel not only serve as an intermediate of protein synthesis but also, in some cases, act as dynamic genetic information, controlling translation through interaction with the ribosome. One notable example is Escherichia coli SecM, in which translation of the ribosome arresting peptide (RAP) sequence in SecM leads to robust elongation arrest. Translation regulations, including the SecM-induced translation arrest, play regulatory roles such as gene expression control. Recent investigations have indicated that the insertion of a peptide sequence, SKIK (or MSKIK), into the adjacent N-terminus of the RAP sequence of SecM behaves as an "arrest canceler". As the study did not provide a direct assessment of the strength of translation arrest, we conducted detailed biochemical analyses. The results revealed that the effect of SKIK insertion on weakening SecM-induced translation arrest was not specific to the SKIK sequence, that is, other tetrapeptide sequences inserted just before the RAP sequence also attenuated the arrest. Our data suggest that SKIK or other tetrapeptide insertions disrupt the context of the RAP sequence rather than canceling or preventing the translation arrest.
en-copyright=
kn-copyright=
en-aut-name=KoboAkinao
en-aut-sei=Kobo
en-aut-mei=Akinao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TaguchiHideki
en-aut-sei=Taguchi
en-aut-mei=Hideki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=ChadaniYuhei
en-aut-sei=Chadani
en-aut-mei=Yuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=School of Life Science and Technology, Tokyo Institute of Technology
kn-affil=
affil-num=2
en-affil=School of Life Science and Technology, Tokyo Institute of Technology
kn-affil=
affil-num=3
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=193
cd-vols=
no-issue=3
article-no=
start-page=2122
end-page=2140
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230720
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Calredoxin regulates the chloroplast NADPH-dependent thioredoxin reductase in Chlamydomonas reinhardtii
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Calredoxin (CRX) is a calcium (Ca2+)-dependent thioredoxin (TRX) in the chloroplast of Chlamydomonas (Chlamydomonas reinhardtii) with a largely unclear physiological role. We elucidated the CRX functionality by performing in-depth quantitative proteomics of wild-type cells compared with a crx insertional mutant (IMcrx), two CRISPR/Cas9 KO mutants, and CRX rescues. These analyses revealed that the chloroplast NADPH-dependent TRX reductase (NTRC) is co-regulated with CRX. Electron transfer measurements revealed that CRX inhibits NADPH-dependent reduction of oxidized chloroplast 2-Cys peroxiredoxin (PRX1) via NTRC and that the function of the NADPH-NTRC complex is under strict control of CRX. Via non-reducing SDS-PAGE assays and mass spectrometry, our data also demonstrated that PRX1 is more oxidized under high light (HL) conditions in the absence of CRX. The redox tuning of PRX1 and control of the NADPH-NTRC complex via CRX interconnect redox control with active photosynthetic electron transport and metabolism, as well as Ca2+ signaling. In this way, an economic use of NADPH for PRX1 reduction is ensured. The finding that the absence of CRX under HL conditions severely inhibited light-driven CO2 fixation underpins the importance of CRX for redox tuning, as well as for efficient photosynthesis.
en-copyright=
kn-copyright=
en-aut-name=ZinziusKaren
en-aut-sei=Zinzius
en-aut-mei=Karen
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MarchettiGiulia Maria
en-aut-sei=Marchetti
en-aut-mei=Giulia Maria
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FischerRonja
en-aut-sei=Fischer
en-aut-mei=Ronja
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MilradYuval
en-aut-sei=Milrad
en-aut-mei=Yuval
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=OltmannsAnne
en-aut-sei=Oltmanns
en-aut-mei=Anne
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KelterbornSimon
en-aut-sei=Kelterborn
en-aut-mei=Simon
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=YacobyIftach
en-aut-sei=Yacoby
en-aut-mei=Iftach
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=HegemannPeter
en-aut-sei=Hegemann
en-aut-mei=Peter
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=ScholzMartin
en-aut-sei=Scholz
en-aut-mei=Martin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=HipplerMichael
en-aut-sei=Hippler
en-aut-mei=Michael
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Institute of Plant Biology and Biotechnology, University of Münster
kn-affil=
affil-num=2
en-affil=Institute of Plant Biology and Biotechnology, University of Münster
kn-affil=
affil-num=3
en-affil=Institute of Plant Biology and Biotechnology, University of Münster
kn-affil=
affil-num=4
en-affil=School of Plant Sciences and Food Security, The George S. Wise Faculty of Life Sciences, Tel Aviv University
kn-affil=
affil-num=5
en-affil=Institute of Plant Biology and Biotechnology, University of Münster
kn-affil=
affil-num=6
en-affil=Institute of Biology, Experimental Biophysics, Humboldt University of Berlin
kn-affil=
affil-num=7
en-affil=School of Plant Sciences and Food Security, The George S. Wise Faculty of Life Sciences, Tel Aviv University
kn-affil=
affil-num=8
en-affil=Institute of Biology, Experimental Biophysics, Humboldt University of Berlin
kn-affil=
affil-num=9
en-affil=Institute of Plant Biology and Biotechnology, University of Münster
kn-affil=
affil-num=10
en-affil=Institute of Plant Science and Resources, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=20
cd-vols=
no-issue=3
article-no=
start-page=e20220127
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=2023
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Rapid thawing of frozen bull spermatozoa by transient exposure to 70 °C improves the viability, motility and mitochondrial health
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Up to now, the definitive conclusion of the positive effects of rapid transient thawing at higher temperatures for shorter durations has not been obtained yet and is still under discussion due to some contradictory findings and limited assessment of post-thawed parameters. The purpose of the current study was to evaluate the effectiveness of rapid thawing in water at 70 °C by using various post-thawed parameters of frozen bull spermatozoa. Experiment 1, monitoring the change of temperature inside frozen bull straw thawed in water at different temperatures. Experiment 2, evaluation of various post-thawed characteristics of frozen bull spermatozoa thawed in water at different temperatures by using a computer-assisted sperm analysis, flow cytometry and immunocytochemistry. The time it took for the temperature inside the straw to warm up to 15 °C was nearly twice as faster when the straw was thawed in 70 °C water compared with 39 °C. Although there were differences among bulls, viability, motility, and mitochondrial membrane potential of spermatozoa thawed at 70 °C for 8 seconds and stabilized at 39 °C for 52 seconds were significantly higher than those of controls (thawed at 39 °C for 60 seconds) at 0 and 3 h after thawing. Just after thawing, however, there were no differences in acrosome integrity and distribution of phospholipase C zeta1, whereas mitochondrial reactive oxygen species production was significantly lower in spermatozoa thawed at 70 °C. From these results, we conclude that rapid thawing at 70 °C and then stabilization at 39 °C significantly improves viability, motility and mitochondrial health of bull spermatozoa rather than conventional thawing at 39 °C. The beneficial effect of rapid transient thawing could be due to shorter exposure to temperatures outside the physiological range, consequently maintaining mitochondrial health.
en-copyright=
kn-copyright=
en-aut-name=NguyenHai Thanh
en-aut-sei=Nguyen
en-aut-mei=Hai Thanh
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=DoSon Quang
en-aut-sei=Do
en-aut-mei=Son Quang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=AthurupanaRukmali
en-aut-sei=Athurupana
en-aut-mei=Rukmali
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=WakaiTakuya
en-aut-sei=Wakai
en-aut-mei=Takuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=FunahashiHiroaki
en-aut-sei=Funahashi
en-aut-mei=Hiroaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Department of Animal Science, Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Animal Science, Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Animal Science, Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Animal Science, Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Animal Science, Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=bull semen
kn-keyword=bull semen
en-keyword=cryopreservation process
kn-keyword=cryopreservation process
en-keyword=phospholipase C zeta1 (PLCZ1)
kn-keyword=phospholipase C zeta1 (PLCZ1)
en-keyword=temperature of thawing
kn-keyword=temperature of thawing
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=171824
end-page=171835
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Passability-Based Local Planner Using Growing Neural Gas for an Autonomous Mobile Robot
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=3D spatial perception is one of the most important abilities for autonomous mobile robots. In environments with unknown objects, the ability to perform a local planner, which modifies the global path based on the perception results, is also required as an indispensable capability. In this paper, we propose a method based on Growing Neural Gas with Different Topologies (GNG-DT), which can be applied to unknown data, as a method for 3D spatial perception and local planner in unknown environments. First, we propose a method for extracting travelability perceptions from the features estimated by the topological structure of the GNG-DT. Next, we learn the topological structure of passability information based on the size of the robot from the extracted traversability percepts. Furthermore, we propose a local planner that uses the topological structure of traversability and passability learned from the point cloud currently perceived by the robot. In the experiments, we compared the cases where only traversability was used and where passability information was used in actual environments, and showed that the proposed method can plan a route that determines the area that the robot can actually pass through.
en-copyright=
kn-copyright=
en-aut-name=OzasaKoki
en-aut-sei=Ozasa
en-aut-mei=Koki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TodaYuichiro
en-aut-sei=Toda
en-aut-mei=Yuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NakamuraYoshimasa
en-aut-sei=Nakamura
en-aut-mei=Yoshimasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MasudaToshiki
en-aut-sei=Masuda
en-aut-mei=Toshiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KonishiHirohide
en-aut-sei=Konishi
en-aut-mei=Hirohide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MatsunoTakayuki
en-aut-sei=Matsuno
en-aut-mei=Takayuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Tokyo Metropolitan Industrial Technology Research Institute
kn-affil=
affil-num=4
en-affil=Tokyo Metropolitan Industrial Technology Research Institute
kn-affil=
affil-num=5
en-affil=NSK Ltd.
kn-affil=
affil-num=6
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Autonomous mobile robot
kn-keyword=Autonomous mobile robot
en-keyword=growing neural gas
kn-keyword=growing neural gas
en-keyword=local planner
kn-keyword=local planner
END
start-ver=1.4
cd-journal=joma
no-vol=2024
cd-vols=
no-issue=1
article-no=
start-page=2
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Abacus Manipulation Understanding by Behavior Sensing Utilizing Document Camera as a Sensor
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= The abacus (also known as Soroban) is a numerical calculation tool that is traditionally used in East Asian countries. With the advancement of information technologies, the abacus is no longer used as a standard calculation tool. However, abacus learning is garnering global attention due to the secondary skills it can foster, e.g., mental arithmetic ability. Numerical calculation using an abacus requires learning numerical expressions using the beads of the abacus and manipulating beads in multiple ways and in different orders. Due to this complexity, a long period of repeated learning is usually required to acquire the skill of using the abacus. However, the teaching method of the abacus mainly relied on lecturers' observation through finding errors and poor bead manipulations and pointing them out, and there is no other way but to rely on human labor at this moment. In this study, we aim to realize an ICT-based learning support system for arithmetic with a common abacus. This paper proposes a method of estimating input values on an abacus based on image recognition captured by a document camera. Through the evaluation experiments, we have confirmed that the proposed method showed an accuracy of 95.0% in the estimation of 7-digit number input on an abacus. Additionally, this paper will provide discussions to realize the proposed method with other cameras such as wearable camera devices, and to design the coaching system of abacus learning.
en-copyright=
kn-copyright=
en-aut-name=MATSUDAYuki
en-aut-sei=MATSUDA
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=32
cd-vols=
no-issue=12
article-no=
start-page=809
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241120
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Relationship among cancer treatment, quality of life, and oral function in head and neck cancer survivors: A cross-sectional study
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose Treatment for head and neck cancer (HNC), such as surgery and chemoradiotherapy, can reduce oral function and affect quality of life (QoL). However, whether HNC treatment affects QoL via the decline of oral function remains unclear. This study aimed to investigate the relationship among cancer treatment, QoL, and actual oral function in HNC survivors.
Methods A total of 100 HNC survivors who had completed definitive treatment for HNC at least 6 months prior to enrollment were enrolled in this cross-sectional study. QoL was evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 summary score. Oral diadochokinesis (ODK), tongue pressure, moisture level on the mucosal surface, and mouth opening were measured. Information on age, sex, tumor site, tumor stage, history of HNC treatment, height, body weight, and lifestyle were collected from medical records. Structural equation modeling (SEM) was conducted to analyze the indirect/direct associations among HNC treatment, QoL, and oral function.
Results In total, 100 HNC survivors (58 males and 42 females; age range, 30–81 years, median, 67 years) were analyzed. Overall, 63 patients (63.0%) were diagnosed as oral cancer, 66 (66.0%) developed advanced cancer (stage 3/4), and 58 (58.0%) underwent reconstruction surgery in 100 HNC survivors. The SEM results supported the hypothesized structural model (root mean square error of approximation = 0.044, comparative fit index = 0.990, Tucker-Lewis index = 0.986). Surgery with neck dissection and reconstruction for advanced cancer had indirect effects on lower QoL via ODK and mouth opening.
Conclusion HNC treatment is indirectly associated with QoL via oral function in HNC survivors.
en-copyright=
kn-copyright=
en-aut-name=YokoiAya
en-aut-sei=Yokoi
en-aut-mei=Aya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MaruyamaTakayuki
en-aut-sei=Maruyama
en-aut-mei=Takayuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YamanakaReiko
en-aut-sei=Yamanaka
en-aut-mei=Reiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TakeuchiNoriko
en-aut-sei=Takeuchi
en-aut-mei=Noriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MoritaManabu
en-aut-sei=Morita
en-aut-mei=Manabu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=EkuniDaisuke
en-aut-sei=Ekuni
en-aut-mei=Daisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Department of Preventive Dentistry, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Preventive Dentistry, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Preventive Dentistry, Division of Dentistry, Okayama University Hospital
kn-affil=
affil-num=4
en-affil=Department of Preventive Dentistry, Division of Dentistry, Okayama University Hospital
kn-affil=
affil-num=5
en-affil=Department of Oral Health Sciences, Takarazuka University of Medical and Health Care
kn-affil=
affil-num=6
en-affil=Department of Preventive Dentistry, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Quality of life
kn-keyword=Quality of life
en-keyword=Oral function
kn-keyword=Oral function
en-keyword=Head and neck cancer
kn-keyword=Head and neck cancer
en-keyword=ODK
kn-keyword=ODK
en-keyword=Tongue pressure
kn-keyword=Tongue pressure
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=78366
end-page=78378
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Aromug: A Mug-Type Olfactory Interface to Enhance the Sweetness Perception of Beverages
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Sugary beverages are a significant contributor to sugar consumption, and their excessive consumption is associated with increased risks of elevated blood glucose levels and diabetes. Many individuals have a strong preference for sugary beverages and often find beverages with lower sugar content to be less satisfying. Attempts to switch to less sugary options are frequently short-lived, leading to a return to higher-sugar beverages. Recognizing that 75 – 95% of taste perception is influenced by scent, we investigated a scent-based approach to reduce sugar intake while preserving the perception of sweetness. This study introduces an olfactory interface in the form of a mug named “Aromug,” designed to emit a sweet scent in sync with the drinking action. Aromug incorporates motion sensing and scent presentation functions to enhance the perceived sweetness of a beverage, thereby encouraging a gradual reduction in sugar intake. Our experiments, involving 33 participants, demonstrated that the combined scents of sugar-free coffee and chocolate increased the perception of sweetness (p =1.641×10−2 ). The study also found that the simultaneous presentation of scent and visual cues improved taste satisfaction and sweetness perception. Additionally, we observed variations in sweetness preference related to age and frequency of coffee consumption. It was particularly observed that people in their 20s and those who frequently drink coffee tend to perceive the taste of beverages as sweeter. This suggests a potential for Aromug to customize the scent experience based on individual preferences, offering a novel way to encourage healthier beverage choices.
en-copyright=
kn-copyright=
en-aut-name=MayumiDaiki
en-aut-sei=Mayumi
en-aut-mei=Daiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NakamuraYugo
en-aut-sei=Nakamura
en-aut-mei=Yugo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MatsudaYuki
en-aut-sei=Matsuda
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MisakiShinya
en-aut-sei=Misaki
en-aut-mei=Shinya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YasumotoKeiichi
en-aut-sei=Yasumoto
en-aut-mei=Keiichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Science and Technology, Nara Institute of Science and Technology
kn-affil=
affil-num=2
en-affil=Faculty of Information Science and Electrical Engineering, Kyushu University
kn-affil=
affil-num=3
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Science and Technology, Nara Institute of Science and Technology
kn-affil=
affil-num=5
en-affil=Graduate School of Science and Technology, Nara Institute of Science and Technology
kn-affil=
en-keyword=Olfaction
kn-keyword=Olfaction
en-keyword=olfactory interfaces
kn-keyword=olfactory interfaces
en-keyword=olfactory display
kn-keyword=olfactory display
en-keyword=scents
kn-keyword=scents
en-keyword=taste evaluation
kn-keyword=taste evaluation
en-keyword=smell
kn-keyword=smell
en-keyword=olfactory perception
kn-keyword=olfactory perception
en-keyword=behavior change support
kn-keyword=behavior change support
END
start-ver=1.4
cd-journal=joma
no-vol=36
cd-vols=
no-issue=10
article-no=
start-page=4585
end-page=4606
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241029
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Mobile Augmented Reality Interface for Instruction-based Disaster Preparedness Guidelines
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Disaster preparedness guidelines help citizens protect themselves against disasters. Nonetheless, the general public has been found not to read them. Augmented reality (AR) interfaces are known to improve knowledge transfer in studies of education, industry, and elderly assistance. However, this is achieved this by creating specific interfaces for users, not the general public. To test the performance of these interfaces for general public guidance, we designed and implemented a novel AR-assisted disaster prevention guideline that leverages object detection models to identify targets of disaster preparedness advice. We then had a diverse-age audience compare our design against a real traditional paper-based preparedness guide in a room arranged as a common remote work bedroom. By testing their usability, task load, and capacity to make users aware of their environmental hazards, we gained important insights into the performance of different age groups following media developed for the general public. Regardless of different age groups achieving similar usability scores, we found minors improving their performance scores with our novel interface and adults from 20 to 49 years old seemingly performing better than other age groups. In this study, we highlight the importance of guidance alternatives for the young and the less-technology-aware population, contributing to the under-explored area of AR interfaces for the general public.
en-copyright=
kn-copyright=
en-aut-name=AguilarSergio De León
en-aut-sei=Aguilar
en-aut-mei=Sergio De León
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MatsudaYuki
en-aut-sei=Matsuda
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YasumotoKeiichi
en-aut-sei=Yasumoto
en-aut-mei=Keiichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Graduate School of Information Science, Nara Institute of Science and Technology
kn-affil=
affil-num=2
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Information Science, Nara Institute of Science and Technology
kn-affil=
en-keyword=guidelines
kn-keyword=guidelines
en-keyword=augmented reality
kn-keyword=augmented reality
en-keyword=disaster preparedness
kn-keyword=disaster preparedness
en-keyword=object recognition
kn-keyword=object recognition
en-keyword=user interface
kn-keyword=user interface
en-keyword=knowledge transfer
kn-keyword=knowledge transfer
END
start-ver=1.4
cd-journal=joma
no-vol=25
cd-vols=
no-issue=21
article-no=
start-page=11592
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241029
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Epigenetic Regulation of CXC Chemokine Expression by Environmental Electrophiles Through DNA Methyltransferase Inhibition
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Ubiquitously distributed environmental electrophiles covalently modify DNA and proteins, potentially leading to adverse health effects. However, the impacts of specific electrophiles on target proteins and their physiological roles remain largely unknown. In the present study, we focused on DNA methylation, which regulates gene expression and physiological responses. A total of 45 environmental electrophiles were screened for inhibitory effects on the activity of DNA methyltransferase 3B (DNMT3B), a key enzyme in DNA methylation, and four compounds were identified. We focused on 1,2-naphthoquinone (1,2-NQ), an air pollutant whose toxicity has been reported previously. Interestingly, we found that 1,2-NQ modified multiple lysine and histidine residues in DNMT3B, one of which was near the active site in DNMT3B. It was found that 1,2-NQ altered gene expression and evoked inflammatory responses in lung adenocarcinoma cell lines. Furthermore, we found that 1,2-NQ upregulated CXCL8 expression through DNA demethylation of the distal enhancer and promoted cancer cell growth. Our study reveals novel mechanisms of epigenetic regulation by environmental electrophiles through the inhibition of DNMT3B activity and suggests their physiological impact.
en-copyright=
kn-copyright=
en-aut-name=TsuchidaTomoki
en-aut-sei=Tsuchida
en-aut-mei=Tomoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KubotaSho
en-aut-sei=Kubota
en-aut-mei=Sho
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KamiuezonoShizuki
en-aut-sei=Kamiuezono
en-aut-mei=Shizuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TakasugiNobumasa
en-aut-sei=Takasugi
en-aut-mei=Nobumasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=ItoAkihiro
en-aut-sei=Ito
en-aut-mei=Akihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KumagaiYoshito
en-aut-sei=Kumagai
en-aut-mei=Yoshito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=UeharaTakashi
en-aut-sei=Uehara
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Medicinal Pharmacology, Faculty of Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=School of Life Sciences, Tokyo University of Pharmacy and Life Sciences
kn-affil=
affil-num=6
en-affil=Graduate School of Pharmaceutical Sciences, Kyushu University
kn-affil=
affil-num=7
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=DNA methylation
kn-keyword=DNA methylation
en-keyword=DNA methyltransferase
kn-keyword=DNA methyltransferase
en-keyword=chemical modification
kn-keyword=chemical modification
en-keyword=chemokine
kn-keyword=chemokine
en-keyword=cell proliferation
kn-keyword=cell proliferation
en-keyword=toxicology
kn-keyword=toxicology
en-keyword=exposome
kn-keyword=exposome
en-keyword=environmental electrophiles
kn-keyword=environmental electrophiles
END
start-ver=1.4
cd-journal=joma
no-vol=300
cd-vols=
no-issue=3
article-no=
start-page=105679
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202403
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Methyl vinyl ketone and its analogs covalently modify PI3K and alter physiological functions by inhibiting PI3K signaling
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Reactive carbonyl species (RCS), which are abundant in the environment and are produced in vivo under stress, covalently bind to nucleophilic residues such as Cys in proteins. Disruption of protein function by RCS exposure is predicted to play a role in the development of various diseases such as cancer and metabolic disorders, but most studies on RCS have been limited to simple cytotoxicity validation, leaving their target proteins and resulting physiological changes unknown. In this study, we focused on methyl vinyl ketone (MVK), which is one of the main RCS found in cigarette smoke and exhaust gas. We found that MVK suppressed PI3K-Akt signaling, which regulates processes involved in cellular homeostasis, including cell proliferation, autophagy, and glucose metabolism. Interestingly, MVK inhibits the interaction between the epidermal growth factor receptor and PI3K. Cys656 in the SH2 domain of the PI3K p85 subunit, which is the covalently binding site of MVK, is important for this interaction. Suppression of PI3K- Akt signaling by MVK reversed epidermal growth factor- induced negative regulation of autophagy and attenuated glucose uptake. Furthermore, we analyzed the effects of the 23 RCS compounds with structures similar to MVK and showed that their analogs also suppressed PI3K-Akt signaling in a manner that correlated with their similarities to MVK. Our study demonstrates the mechanism of MVK and its analogs in suppressing PI3K-Akt signaling and modulating physiological functions, providing a model for future studies analyzing environmental reactive species.
en-copyright=
kn-copyright=
en-aut-name=MorimotoAtsushi
en-aut-sei=Morimoto
en-aut-mei=Atsushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TakasugiNobumasa
en-aut-sei=Takasugi
en-aut-mei=Nobumasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=PanYuexuan
en-aut-sei=Pan
en-aut-mei=Yuexuan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KubotaSho
en-aut-sei=Kubota
en-aut-mei=Sho
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=DohmaeNaoshi
en-aut-sei=Dohmae
en-aut-mei=Naoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=AbikoYumi
en-aut-sei=Abiko
en-aut-mei=Yumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=UchidaKoji
en-aut-sei=Uchida
en-aut-mei=Koji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=KumagaiYoshito
en-aut-sei=Kumagai
en-aut-mei=Yoshito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=UeharaTakashi
en-aut-sei=Uehara
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
affil-num=1
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Biomolecular Characterization Unit, Technology Platform Division, RIKEN Center for Sustainable Resource Science
kn-affil=
affil-num=6
en-affil=Graduate School of Biomedical Science, Nagasaki University
kn-affil=
affil-num=7
en-affil=Laboratory of Food Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo
kn-affil=
affil-num=8
en-affil=Graduate School of Pharmaceutical Sciences, Kyushu University
kn-affil=
affil-num=9
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=phosphatidylinositol 3-kinase (PI 3-kinase)
kn-keyword=phosphatidylinositol 3-kinase (PI 3-kinase)
en-keyword=cell signaling
kn-keyword=cell signaling
en-keyword=chemical modification
kn-keyword=chemical modification
en-keyword=autophagy
kn-keyword=autophagy
en-keyword=glucose uptake
kn-keyword=glucose uptake
END
start-ver=1.4
cd-journal=joma
no-vol=99
cd-vols=
no-issue=2
article-no=
start-page=563
end-page=574
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241027
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Therapeutic potential of 4-phenylbutyric acid against methylmercury-induced neuronal cell death in mice
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Methylmercury (MeHg) is an environmental neurotoxin that induces damage to the central nervous system and is the causative agent in Minamata disease. The mechanisms underlying MeHg neurotoxicity remain largely unknown, and there is a need for effective therapeutic agents, such as those that target MeHg-induced endoplasmic reticulum (ER) stress and the unfolded protein response (UPR), which is activated as a defense mechanism. We investigated whether intraperitoneal administration of the chemical chaperone, 4-phenylbutyric acid (4-PBA), at 120 mg/kg/day can alleviate neurotoxicity in the brains of mice administered 50 ppm MeHg in drinking water for 5 weeks. 4-PBA significantly reduced MeHg-induced ER stress, neuronal apoptosis, and neurological symptoms. Furthermore, 4-PBA was effective even when administered 2 weeks after the initiation of exposure to 30 ppm MeHg in drinking water. Our results strongly indicate that ER stress and the UPR are key processes involved in MeHg toxicity, and that 4-PBA is a novel therapeutic candidate for MeHg-induced neurotoxicity.
en-copyright=
kn-copyright=
en-aut-name=MikiRyohei
en-aut-sei=Miki
en-aut-mei=Ryohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NomuraRyosuke
en-aut-sei=Nomura
en-aut-mei=Ryosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=IijimaYuta
en-aut-sei=Iijima
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KubotaSho
en-aut-sei=Kubota
en-aut-mei=Sho
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TakasugiNobumasa
en-aut-sei=Takasugi
en-aut-mei=Nobumasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=IwawakiTakao
en-aut-sei=Iwawaki
en-aut-mei=Takao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=FujimuraMasatake
en-aut-sei=Fujimura
en-aut-mei=Masatake
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=UeharaTakashi
en-aut-sei=Uehara
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
affil-num=1
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Division of Cell Medicine, Department of Life Science, Medical Research Institute, Kanazawa Medical University
kn-affil=
affil-num=7
en-affil=Department of International Affairs and Research, National Institute for Minamata Disease
kn-affil=
affil-num=8
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Methylmercury
kn-keyword=Methylmercury
en-keyword=Neuronal cell death
kn-keyword=Neuronal cell death
en-keyword=Endoplasmic reticulum stress
kn-keyword=Endoplasmic reticulum stress
en-keyword=Unfolded protein response
kn-keyword=Unfolded protein response
END
start-ver=1.4
cd-journal=joma
no-vol=10
cd-vols=
no-issue=10
article-no=
start-page=251
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241014
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Searching Method for Three-Dimensional Puncture Route to Support Computed Tomography-Guided Percutaneous Puncture
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In CT-guided percutaneous punctures-an image-guided puncture method using CT images-physicians treat targets such as lung tumors, liver tumors, renal tumors, and intervertebral abscesses by inserting a puncture needle into the body from the exterior while viewing images. By recognizing two-dimensional CT images prior to a procedure, a physician determines the least invasive puncture route for the patient. Therefore, the candidate puncture route is limited to a two-dimensional region along the cross section of the human body. In this paper, we aim to construct a three-dimensional puncture space based on multiple two-dimensional CT images to search for a safer and shorter puncture route for a given patient. If all puncture routes starting from a target in the three-dimensional space were examined from all directions (the brute-force method), the processing time to derive the puncture route would be very long. We propose a more efficient method for three-dimensional puncture route selection in CT-guided percutaneous punctures. The proposed method extends the ray-tracing method, which quickly derives a line segment from a given start point to an end point on a two-dimensional plane, and applies it to three-dimensional space. During actual puncture route selection, a physician can use CT images to derive a three-dimensional puncture route that is safe for the patient and minimizes the puncture time. The main novelty is that we propose a method for deriving a three-dimensional puncture route within the allowed time in an actual puncture. The main goal is for physicians to select the puncture route they will use in the actual surgery from among the multiple three-dimensional puncture route candidates derived using the proposed method. The proposed method derives a three-dimensional puncture route within the allowed time in an actual puncture. Physicians can use the proposed method to derive a new puncture route, reducing the burden on patients and improving physician skills. In the evaluation results of a computer simulation, for a 3D CT image created by combining 170 two-dimensional CT images, the processing time for deriving the puncture route using the proposed method was approximately 59.4 s. The shortest length of the puncture route from the starting point to the target was between 20 mm and 22 mm. The search time for a three-dimensional human body consisting of 15 CT images was 4.77 s for the proposed method and 2599.0 s for a brute-force method. In a questionnaire, physicians who actually perform puncture treatments evaluated the candidate puncture routes derived by the proposed method. We confirmed that physicians could actually use these candidates as a puncture route.
en-copyright=
kn-copyright=
en-aut-name=GotohYusuke
en-aut-sei=Gotoh
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TakedaAoi
en-aut-sei=Takeda
en-aut-mei=Aoi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MasuiKoji
en-aut-sei=Masui
en-aut-mei=Koji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=SakaiKoji
en-aut-sei=Sakai
en-aut-mei=Koji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=FujimotoManato
en-aut-sei=Fujimoto
en-aut-mei=Manato
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Radiology, Kyoto Prefectural University of Medicine
kn-affil=
affil-num=4
en-affil=Department of Radiology, Kyoto Prefectural University of Medicine
kn-affil=
affil-num=5
en-affil=Graduate School of Informatics, Osaka Metropolitan University
kn-affil=
en-keyword=CT-guided percutaneous puncture
kn-keyword=CT-guided percutaneous puncture
en-keyword=searching method
kn-keyword=searching method
en-keyword=three-dimensional puncture route
kn-keyword=three-dimensional puncture route
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=153285
end-page=153294
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Detecting Unintended Redirects to Malicious Websites on Android Devices Based on URL-Switching Interval
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Website clicks that redirect Android-phone users to malicious websites with fake virus alerts or phishing attacks are increasing exponentially. Although a uniform resource locator (URL) blocklist is considered a suitable countermeasure to such attacks, it is difficult to efficiently identify malicious websites. To the best of our knowledge, no research has focused on detecting attacks that redirect Android-phone users to malicious websites. Therefore, we propose a redirect-detection method that focuses on the URL bar-switching interval of Android-based Google Chrome browser. The proposed method, which can be easily installed as an Android application, uses the Android accessibility service to detect unintended redirects to malicious websites without collecting information about these websites in advance. This paper details the design, implementation, and evaluation results of the proposed application on an actual Android device. We determined the threshold values for the number of times the URL bar switches and the elapsed time to determine redirects to malicious websites for the proposed method. Based on the results, we investigated the causes of false-positive detection of redirects to benign websites and offer solutions on handling them. We also present the threshold values that can minimize the false positive and negative rates, as well as the detection accuracy of the proposed method based on these threshold values. Additionally, we present the evaluations results based on the access logs of actual users participating in the WarpDrive project experiment, which indicate that the proposed method minimizes false positives and successfully detects most redirects to malicious websites.
en-copyright=
kn-copyright=
en-aut-name=YamauchiToshihiro
en-aut-sei=Yamauchi
en-aut-mei=Toshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=OritoRintaro
en-aut-sei=Orito
en-aut-mei=Rintaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=EbisuKoji
en-aut-sei=Ebisu
en-aut-mei=Koji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=SatoMasaya
en-aut-sei=Sato
en-aut-mei=Masaya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Faculty of Computer Science and Systems Engineering, Okayama Prefectural University
kn-affil=
en-keyword=Android
kn-keyword=Android
en-keyword=accessibility services
kn-keyword=accessibility services
en-keyword=malicious websites
kn-keyword=malicious websites
en-keyword=web-based attacks
kn-keyword=web-based attacks
en-keyword=web security
kn-keyword=web security
END
start-ver=1.4
cd-journal=joma
no-vol=5
cd-vols=
no-issue=22
article-no=
start-page=8953
end-page=8960
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241007
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Enhanced piezo-response of mixed-cation copper perovskites with Cl/Br halide engineering
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Halide and cation engineering of organic-inorganic hybrid perovskites has shown a great potential for structural modulation of perovskites and enhancing their optoelectronic properties. Here, we studied the impact of Cl/Br halide engineering on the structural and piezoelectric properties of MA/Cs mixed-cation Cu-perovskite crystals. X-ray diffraction, Raman spectroscopy, and 133Cs solid-state NMR were utilized to find out the nature of the perovskite crystal structure formation. Three distinct crystal structures were obtained depending on the Cl/Br content. High Cl content resulted in the formation of Br-doped (Cs/MA)CuCl3 perovskite with the presence of paramagnetic Cu2+ ions. High Br content led to the formation of Cl-doped (MA/Cs)2CuBr4 perovskite with the presence of diamagnetic Cu+ ions. Equimolar Cl/Br perovskite content gave a novel crystal structure with the formation of well-dispersed diamagnetic domains. Compared to the high Cl/Br containing perovskites, the equimolar Cl/Br perovskite revealed the highest potential for piezoelectric applications with a maximum recordable piezoelectric output voltage of 5.0 V. The results provide an insight into the importance of mixed-halide and mixed-cation engineering for tailoring the perovskite structural properties towards a wide range of efficient optoelectronics.
en-copyright=
kn-copyright=
en-aut-name=ElattarAmr
en-aut-sei=Elattar
en-aut-mei=Amr
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MunozChristopher
en-aut-sei=Munoz
en-aut-mei=Christopher
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KoberaLibor
en-aut-sei=Kobera
en-aut-mei=Libor
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MahunAndrii
en-aut-sei=Mahun
en-aut-mei=Andrii
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=BrusJiri
en-aut-sei=Brus
en-aut-mei=Jiri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=UddinMohammed Jasim
en-aut-sei=Uddin
en-aut-mei=Mohammed Jasim
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=HayashiYasuhiko
en-aut-sei=Hayashi
en-aut-mei=Yasuhiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=OkoliOkenwa
en-aut-sei=Okoli
en-aut-mei=Okenwa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=DickensTarik
en-aut-sei=Dickens
en-aut-mei=Tarik
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Industrial & Manufacturing Engineering, FAMU-FSU College of Engineering
kn-affil=
affil-num=3
en-affil=Institute of Macromolecular Chemistry of the Czech Academy of Sciences
kn-affil=
affil-num=4
en-affil=Institute of Macromolecular Chemistry of the Czech Academy of Sciences
kn-affil=
affil-num=5
en-affil=Institute of Macromolecular Chemistry of the Czech Academy of Sciences
kn-affil=
affil-num=6
en-affil=Photonics and Energy Research Laboratory (PERL), Department of Mechanical Engineering, The University of Texas
kn-affil=
affil-num=7
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=8
en-affil=Industrial & Manufacturing Engineering, FAMU-FSU College of Engineering
kn-affil=
affil-num=9
en-affil=Industrial & Manufacturing Engineering, FAMU-FSU College of Engineering
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=20756
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240905
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Basic characteristics of tongue pressure and electromyography generated by articulation of a syllable using the posterior part of the tongue
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The basic function of the tongue in pronouncing diadochokinesis and other syllables is not fully understood. This study investigates the influence of sound pressure levels and syllables on tongue pressure and muscle activity in 19 healthy adults (mean age: 28.2 years; range: 22-33 years). Tongue pressure and activity of the posterior tongue were measured using electromyography (EMG) when the velar stops /ka/, /ko/, /ga/, and /go/ were pronounced at 70, 60, 50, and 40 dB. Spearman's rank correlation revealed a significant, yet weak, positive association between tongue pressure and EMG activity (rho = 0.14, p < 0.05). Mixed-effects model analysis showed that tongue pressure and EMG activity significantly increased at 70 dB compared to other sound pressure levels. While syllables did not significantly affect tongue pressure, the syllable /ko/ significantly increased EMG activity (coefficient = 0.048, p = 0.013). Although no significant differences in tongue pressure were observed for the velar stops /ka/, /ko/, /ga/, and /go/, it is suggested that articulation is achieved by altering the activity of both extrinsic and intrinsic tongue muscles. These findings highlight the importance of considering both tongue pressure and muscle activity when examining the physiological factors contributing to sound pressure levels during speech.
en-copyright=
kn-copyright=
en-aut-name=MandaYousuke
en-aut-sei=Manda
en-aut-mei=Yousuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KodamaNaoki
en-aut-sei=Kodama
en-aut-mei=Naoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MoriKeitaro
en-aut-sei=Mori
en-aut-mei=Keitaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=AdachiReimi
en-aut-sei=Adachi
en-aut-mei=Reimi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MatsugishiMakoto
en-aut-sei=Matsugishi
en-aut-mei=Makoto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MinagiShogo
en-aut-sei=Minagi
en-aut-mei=Shogo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Department of Occlusal and Oral Functional Rehabilitation, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Occlusal and Oral Functional Rehabilitation, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Occlusal and Oral Functional Rehabilitation, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Occlusal and Oral Functional Rehabilitation, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Occlusal and Oral Functional Rehabilitation, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Occlusal and Oral Functional Rehabilitation, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=47
cd-vols=
no-issue=10
article-no=
start-page=1600
end-page=1609
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241001
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Molecular Diversity of Photosensitive Protein Opsins and Their High Potential for Optogenetic Applications
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Because G protein coupled receptors (GPCRs) represent the largest family of drug targets in clinical trials, GPCR signaling cascades are closely related to various physiological phenomena, attracting significant attention in pharmaceutical science. Opsins (also known as animal rhodopsins) are photoreceptive proteins containing retinal as a chromophore, which function as GPCRs and underlie the molecular basis of photoreception in animals. Recently, opsins have been progressively applied in an innovative technology called optogenetics to regulate biological activities using light. A wide variety of opsins have been identified in metazoans and characterized at the molecular and physiological levels, providing a foundation for their optogenetic applications. In this review, I briefly introduce the diversity of opsins in terms of their molecular functions, including G protein selectivity and photoreaction properties. This diversity provides a significant advantage for optically manipulating a wide variety of GPCR signaling cascades with high temporal resolution. Additionally, I discuss the rich array of opsin-based optogenetic tools used to control various physiological processes and their potential as therapeutic tools for vision restoration. Based on the introduction, I expect that the optogenetic approach will offer powerful tools to provide valuable insights into the molecular mechanisms of various physiological phenomena and next-generation treatment options for diseases beyond the capacity of traditional drugs.
en-copyright=
kn-copyright=
en-aut-name=KojimaKeiichi
en-aut-sei=Kojima
en-aut-mei=Keiichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=4
cd-vols=
no-issue=3
article-no=
start-page=295
end-page=312
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240722
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A User Location Reset Method through Object Recognition in Indoor Navigation System Using Unity and a Smartphone (INSUS)
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=To enhance user experiences of reaching destinations in large, complex buildings, we have developed a indoor navigation system using Unity and a smartphone called INSUS. It can reset the user location using a quick response (QR) code to reduce the loss of direction of the user during navigation. However, this approach needs a number of QR code sheets to be prepared in the field, causing extra loads at implementation. In this paper, we propose another reset method to reduce loads by recognizing information of naturally installed signs in the field using object detection and Optical Character Recognition (OCR) technologies. A lot of signs exist in a building, containing texts such as room numbers, room names, and floor numbers. In the proposal, the Sign Image is taken with a smartphone, the sign is detected by YOLOv8, the text inside the sign is recognized by PaddleOCR, and it is compared with each record in the Room Database using Levenshtein distance. For evaluations, we applied the proposal in two buildings in Okayama University, Japan. The results show that YOLOv8 achieved mAP@0.5 0.995 and mAP@0.5:0.95 0.978, and PaddleOCR could extract text in the sign image accurately with an averaged CER% lower than 10%. The combination of both YOLOv8 and PaddleOCR decreases the execution time by 6.71s compared to the previous method. The results confirmed the effectiveness of the proposal.
en-copyright=
kn-copyright=
en-aut-name=FajriantiEvianita Dewi
en-aut-sei=Fajrianti
en-aut-mei=Evianita Dewi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HazAmma Liesvarastranta
en-aut-sei=Haz
en-aut-mei=Amma Liesvarastranta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=
en-keyword=indoor navigation system
kn-keyword=indoor navigation system
en-keyword=INSUS
kn-keyword=INSUS
en-keyword=location reset method
kn-keyword=location reset method
en-keyword=natural sign
kn-keyword=natural sign
en-keyword=text
kn-keyword=text
en-keyword=YOLO
kn-keyword=YOLO
en-keyword=PaddleOCR
kn-keyword=PaddleOCR
END
start-ver=1.4
cd-journal=joma
no-vol=10
cd-vols=
no-issue=1
article-no=
start-page=018003
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240127
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Design and performance of a gain calibration system for the POLARBEAR-2a receiver system at the Simons Array cosmic microwave background experiment
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We present an advanced system for calibrating the detector gain responsivity with a chopped thermal source for POLARBEAR-2a, which is the first receiver system of a cosmic microwave background (CMB) polarimetry experiment: the Simons Array. Intensity-to-polarization leakage due to calibration errors between detectors can be a significant source of systematic error for a polarization-sensitive experiment. To suppress this systematic uncertainty, POLARBEAR-2a calibrates the detector gain responsivities by observing a chopped thermal source before and after each period of science observations. The system includes a high-temperature ceramic heater that emits blackbody radiation covering a wide frequency range and an optical chopper to modulate the radiation signal. We discuss the experimental requirements of gain calibration and system design to calibrate POLARBEAR-2a. We evaluate the performance of our system during the early commissioning of the receiver system. This calibration system is promising for the future generation of CMB ground-based polarization observations.
en-copyright=
kn-copyright=
en-aut-name=KanekoDaisuke
en-aut-sei=Kaneko
en-aut-mei=Daisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TakatoriSayuri
en-aut-sei=Takatori
en-aut-mei=Sayuri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HasegawaMasaya
en-aut-sei=Hasegawa
en-aut-mei=Masaya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HazumiMasashi
en-aut-sei=Hazumi
en-aut-mei=Masashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=InoueYuki
en-aut-sei=Inoue
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=JeongOliver
en-aut-sei=Jeong
en-aut-mei=Oliver
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KatayamaNobuhiko
en-aut-sei=Katayama
en-aut-mei=Nobuhiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=LeeAdrian T.
en-aut-sei=Lee
en-aut-mei=Adrian T.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=MatsudaFrederick
en-aut-sei=Matsuda
en-aut-mei=Frederick
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=NishinoHaruki
en-aut-sei=Nishino
en-aut-mei=Haruki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=SiritanasakPraween
en-aut-sei=Siritanasak
en-aut-mei=Praween
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=SuzukiAritoki
en-aut-sei=Suzuki
en-aut-mei=Aritoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=TakakuraSatoru
en-aut-sei=Takakura
en-aut-mei=Satoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=TomaruTakayuki
en-aut-sei=Tomaru
en-aut-mei=Takayuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
affil-num=1
en-affil=High Energy Accelerator Research Organization, International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles
kn-affil=
affil-num=2
en-affil=Okayama University, Research Institute for Interdisciplinary Science
kn-affil=
affil-num=3
en-affil=High Energy Accelerator Research Organization, International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles
kn-affil=
affil-num=4
en-affil=High Energy Accelerator Research Organization, International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles
kn-affil=
affil-num=5
en-affil=National Central University, Center for High Energy and High Field Physics, Department of Physics
kn-affil=
affil-num=6
en-affil=University of California, Department of Physics
kn-affil=
affil-num=7
en-affil=University of Tokyo, Kavli Institute for the Physics and Mathematics of the Universe
kn-affil=
affil-num=8
en-affil=University of California, Department of Physics
kn-affil=
affil-num=9
en-affil=Japan Aerospace Exploration Agency, Institute of Space and Astronautical Science
kn-affil=
affil-num=10
en-affil=The University of Tokyo, Graduate School of Science, Research Center for the Early Universe
kn-affil=
affil-num=11
en-affil=National Astronomical Research Institute of Thailand
kn-affil=
affil-num=12
en-affil=Lawrence Berkeley National Laboratory, Physics Division
kn-affil=
affil-num=13
en-affil=Kyoto University, Department of Physics, Faculty of Science
kn-affil=
affil-num=14
en-affil=National Astronomical Observatory of Japan, Gravitational Wave Project Office
kn-affil=
en-keyword=cosmic microwave background
kn-keyword=cosmic microwave background
en-keyword=gain calibrator
kn-keyword=gain calibrator
en-keyword=detector calibration
kn-keyword=detector calibration
en-keyword=transition edge sensor
kn-keyword=transition edge sensor
END
start-ver=1.4
cd-journal=joma
no-vol=8
cd-vols=
no-issue=9
article-no=
start-page=471
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240909
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Generating 3D Models for UAV-Based Detection of Riparian PET Plastic Bottle Waste: Integrating Local Social Media and InstantMesh
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In recent years, waste pollution has become a severe threat to riparian environments worldwide. Along with the advancement of deep learning (DL) algorithms (i.e., object detection models), related techniques have become useful for practical applications. This work attempts to develop a data generation approach to generate datasets for small target recognition, especially for recognition in remote sensing images. A relevant point is that similarity between data used for model training and data used for testing is crucially important for object detection model performance. Therefore, obtaining training data with high similarity to the monitored objects is a key objective of this study. Currently, Artificial Intelligence Generated Content (AIGC), such as single target objects generated by Luma AI, is a promising data source for DL-based object detection models. However, most of the training data supporting the generated results are not from Japan. Consequently, the generated data are less similar to monitored objects in Japan, having, for example, different label colors, shapes, and designs. For this study, the authors developed a data generation approach by combining social media (Clean-Up Okayama) and single-image-based 3D model generation algorithms (e.g., InstantMesh) to provide a reliable reference for future generations of localized data. The trained YOLOv8 model in this research, obtained from the S2PS (Similar to Practical Situation) AIGC dataset, produced encouraging results (high F1 scores, approximately 0.9) in scenario-controlled UAV-based riparian PET bottle waste identification tasks. The results of this study show the potential of AIGC to supplement or replace real-world data collection and reduce the on-site work load.
en-copyright=
kn-copyright=
en-aut-name=PanShijun
en-aut-sei=Pan
en-aut-mei=Shijun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YoshidaKeisuke
en-aut-sei=Yoshida
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=ShimoeDaichi
en-aut-sei=Shimoe
en-aut-mei=Daichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KojimaTakashi
en-aut-sei=Kojima
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NishiyamaSatoshi
en-aut-sei=Nishiyama
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=4
en-affil=TOKEN C.E.E. Consultants Co., Ltd.
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=generative artificial intelligence
kn-keyword=generative artificial intelligence
en-keyword=InstantMesh
kn-keyword=InstantMesh
en-keyword=riparian waste
kn-keyword=riparian waste
en-keyword=SNS
kn-keyword=SNS
en-keyword=3D model
kn-keyword=3D model
END
start-ver=1.4
cd-journal=joma
no-vol=38
cd-vols=
no-issue=1
article-no=
start-page=2398895
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Packing problems are classical optimization problems with wide-ranging applications. With the advancement of robotic manipulation, there are growing demands for the automation of packing tasks. However, the simultaneous optimization of packing and the robot's motion planning is challenging because these two decisions are interconnected, and no previous study has addressed this optimization problem. This paper presents a framework to simultaneously determine the robot's motion planning and packing decision to minimize the robot's processing time and the container's volume. This framework comprises three key components: solution encoding, surrogate modeling, and evolutionary computation. The sequence-triple representation encodes complex packing solutions by a sequence of integers. A surrogate model is trained to predict the processing time for a given packing solution to reduce the computational burden. Training data is generated by solving the motion planning problem for a set of packing solutions using the rapidly exploring random tree algorithm. The Non-Dominated Sorting Genetic Algorithm II searches for the Pareto solutions. Experimental evaluations are conducted using a 6-DOF robot manipulator. The experimental results suggest that implementing the surrogate model can reduce the computational time by 91.1%. The proposed surrogate-assisted optimization method can obtain significantly better solutions than the joint angular velocity-based estimation method.
en-copyright=
kn-copyright=
en-aut-name=LiuZiang
en-aut-sei=Liu
en-aut-mei=Ziang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KawabeTomoya
en-aut-sei=Kawabe
en-aut-mei=Tomoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NishiTatsushi
en-aut-sei=Nishi
en-aut-mei=Tatsushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ItoShun
en-aut-sei=Ito
en-aut-mei=Shun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=FujiwaraTomofumi
en-aut-sei=Fujiwara
en-aut-mei=Tomofumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Packing problem
kn-keyword=Packing problem
en-keyword=sequence-triple
kn-keyword=sequence-triple
en-keyword=motion planning
kn-keyword=motion planning
en-keyword=surrogate model
kn-keyword=surrogate model
en-keyword=multi-objective optimization
kn-keyword=multi-objective optimization
END
start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=8
article-no=
start-page=1005
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240807
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Enhanced Active Access-Point Configuration Algorithm Using the Throughput Request Satisfaction Method for an Energy-Efficient Wireless Local-Area Network
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Wireless Local-Area Networks (WLANs), as a popular internet access solution, are widely used in numerous places, including enterprises, campuses, and public venues. As the number of devices increases, large-scale deployments will cause the problem of dense wireless networks, including a lot of energy consumption. Thus, the optimization of energy-efficient wireless AP devices has become a focal point of attention. To reduce energy consumption, we have proposed the active access-point (AP) configuration algorithm for WLANs using APs with a dual interface. This uses the greedy algorithm combined with the local search optimization method to find the minimum number of activated APs while satisfying the minimum throughput constraint. However, the previous algorithm basically satisfies only the average throughput among the multiple hosts associated with one AP, wherein some hosts may not reach the required one. In this paper, to overcome this limitation, we propose an enhanced active AP configuration algorithm by incorporating the throughput request satisfaction method that controls the actual throughput at the target value (target throughput) for every host by applying traffic shaping. The target throughput is calculated from the single and concurrent communicating throughput of each host based on channel occupancy time. The minimum throughput constraint will be iteratively adjusted to obtain the required target throughput and achieve the fair throughput allocation. For evaluations, we conducted simulations using the WIMNET simulator and experiments using the testbed system with a Raspberry Pi 4B for APs in four topology cases with five APs and ten hosts. The results show that the proposed method always achieved the required minimum throughput in simulations as well as in experiments, while minimizing the number of active APs. Thus, the validity and effectiveness of our proposal were confirmed.
en-copyright=
kn-copyright=
en-aut-name=WuBin
en-aut-sei=Wu
en-aut-mei=Bin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KongDezheng
en-aut-sei=Kong
en-aut-mei=Dezheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=WangXuan
en-aut-sei=Wang
en-aut-mei=Xuan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=SetoTaishiro
en-aut-sei=Seto
en-aut-mei=Taishiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=FanYu-Cheng
en-aut-sei=Fan
en-aut-mei=Yu-Cheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Electronic Engineering, National Taipei University of Technology
kn-affil=
en-keyword=energy-efficient WLAN
kn-keyword=energy-efficient WLAN
en-keyword=IoT
kn-keyword=IoT
en-keyword=active AP configuration algorithm
kn-keyword=active AP configuration algorithm
en-keyword=throughput request satisfaction method
kn-keyword=throughput request satisfaction method
en-keyword=throughput control
kn-keyword=throughput control
en-keyword=traffic shaping
kn-keyword=traffic shaping
END
start-ver=1.4
cd-journal=joma
no-vol=476
cd-vols=
no-issue=11
article-no=
start-page=1761
end-page=1775
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240829
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The role of GABA in modulation of taste signaling within the taste bud
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Taste buds contain 2 types of GABA-producing cells: sour-responsive Type III cells and glial-like Type I cells. The physiological role of GABA, released by Type III cells is not fully understood. Here, we investigated the role of GABA released from Type III cells using transgenic mice lacking the expression of GAD67 in taste bud cells (Gad67-cKO mice). Immunohistochemical experiments confirmed the absence of GAD67 in Type III cells of Gad67-cKO mice. Furthermore, no difference was observed in the expression and localization of cell type markers, ectonucleoside triphosphate diphosphohydrolase 2 (ENTPD2), gustducin, and carbonic anhydrase 4 (CA4) in taste buds between wild-type (WT) and Gad67-cKO mice. Short-term lick tests demonstrated that both WT and Gad67-cKO mice exhibited normal licking behaviors to each of the five basic tastants. Gustatory nerve recordings from the chorda tympani nerve demonstrated that both WT and Gad67-cKO mice similarly responded to five basic tastants when they were applied individually. However, gustatory nerve responses to sweet–sour mixtures were significantly smaller than the sum of responses to each tastant in WT mice but not in Gad67-cKO mice. In summary, elimination of GABA signalling by sour-responsive Type III taste cells eliminates the inhibitory cell–cell interactions seen with application of sour–sweet mixtures.
en-copyright=
kn-copyright=
en-aut-name=MikamiAyaka
en-aut-sei=Mikami
en-aut-mei=Ayaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HuangHai
en-aut-sei=Huang
en-aut-mei=Hai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HyodoAiko
en-aut-sei=Hyodo
en-aut-mei=Aiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HorieKengo
en-aut-sei=Horie
en-aut-mei=Kengo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YasumatsuKeiko
en-aut-sei=Yasumatsu
en-aut-mei=Keiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=NinomiyaYuzo
en-aut-sei=Ninomiya
en-aut-mei=Yuzo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=MitohYoshihiro
en-aut-sei=Mitoh
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=IidaSeiji
en-aut-sei=Iida
en-aut-mei=Seiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=YoshidaRyusuke
en-aut-sei=Yoshida
en-aut-mei=Ryusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
affil-num=1
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Tokyo Dental Junior College
kn-affil=
affil-num=6
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Oral and Maxillofacial Reconstructive Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Gamma-aminobutyric acid
kn-keyword=Gamma-aminobutyric acid
en-keyword=Taste buds
kn-keyword=Taste buds
en-keyword=Glutamate decarboxylase
kn-keyword=Glutamate decarboxylase
en-keyword=Taste mixture
kn-keyword=Taste mixture
en-keyword=Sour
kn-keyword=Sour
en-keyword=Sweet
kn-keyword=Sweet
END
start-ver=1.4
cd-journal=joma
no-vol=115
cd-vols=
no-issue=11
article-no=
start-page=3695
end-page=3704
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240902
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=High-quality expert annotations enhance artificial intelligence model accuracy for osteosarcoma X-ray diagnosis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Primary malignant bone tumors, such as osteosarcoma, significantly affect the pediatric and young adult populations, necessitating early diagnosis for effective treatment. This study developed a high-performance artificial intelligence (AI) model to detect osteosarcoma from X-ray images using highly accurate annotated data to improve diagnostic accuracy at initial consultations. Traditional models trained on unannotated data have shown limited success, with sensitivities of approximately 60%–70%. In contrast, our model used a data-centric approach with annotations from an experienced oncologist, achieving a sensitivity of 95.52%, specificity of 96.21%, and an area under the curve of 0.989. The model was trained using 468 X-ray images from 31 osteosarcoma cases and 378 normal knee images with a strategy to maximize diversity in the training and validation sets. It was evaluated using an independent dataset of 268 osteosarcoma and 554 normal knee images to ensure generalizability. By applying the U-net architecture and advanced image processing techniques such as renormalization and affine transformations, our AI model outperforms existing models, reducing missed diagnoses and enhancing patient outcomes by facilitating earlier treatment. This study highlights the importance of high-quality training data and advocates a shift towards data-centric AI development in medical imaging. These insights can be extended to other rare cancers and diseases, underscoring the potential of AI in transforming diagnostic processes in oncology. The integration of this AI model into clinical workflows could support physicians in early osteosarcoma detection, thereby improving diagnostic accuracy and patient care.
en-copyright=
kn-copyright=
en-aut-name=HaseiJoe
en-aut-sei=Hasei
en-aut-mei=Joe
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NakaharaRyuichi
en-aut-sei=Nakahara
en-aut-mei=Ryuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OtsukaYujiro
en-aut-sei=Otsuka
en-aut-mei=Yujiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=NakamuraYusuke
en-aut-sei=Nakamura
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=HironariTamiya
en-aut-sei=Hironari
en-aut-mei=Tamiya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KaharaNaoaki
en-aut-sei=Kahara
en-aut-mei=Naoaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=MiwaShinji
en-aut-sei=Miwa
en-aut-mei=Shinji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=OhshikaShusa
en-aut-sei=Ohshika
en-aut-mei=Shusa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=NishimuraShunji
en-aut-sei=Nishimura
en-aut-mei=Shunji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=IkutaKunihiro
en-aut-sei=Ikuta
en-aut-mei=Kunihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=OsakiShuhei
en-aut-sei=Osaki
en-aut-mei=Shuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=YoshidaAki
en-aut-sei=Yoshida
en-aut-mei=Aki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=FujiwaraTomohiro
en-aut-sei=Fujiwara
en-aut-mei=Tomohiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=NakataEiji
en-aut-sei=Nakata
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=KunisadaToshiyuki
en-aut-sei=Kunisada
en-aut-mei=Toshiyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
en-aut-name=OzakiToshifumi
en-aut-sei=Ozaki
en-aut-mei=Toshifumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=16
ORCID=
affil-num=1
en-affil=Department of Medical Information and Assistive Technology Development, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Radiology, Juntendo University School of Medicine
kn-affil=
affil-num=4
en-affil=Department of Radiology, Juntendo University School of Medicine
kn-affil=
affil-num=5
en-affil=Department of Musculoskeletal Oncology Service, Osaka International Cancer Institute
kn-affil=
affil-num=6
en-affil=Department of Orthopedic Surgery, Mizushima Central Hospital
kn-affil=
affil-num=7
en-affil= Department of Orthopedic Surgery, Kanazawa University Graduate School of Medical Sciences
kn-affil=
affil-num=8
en-affil=Department of Orthopedic Surgery, Hirosaki University Graduate School of Medicine
kn-affil=
affil-num=9
en-affil=Department of Orthopedic Surgery, Kindai University Hospital
kn-affil=
affil-num=10
en-affil=Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine
kn-affil=
affil-num=11
en-affil=Department of Musculoskeletal Oncology, National Cancer Center Hospital
kn-affil=
affil-num=12
en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=13
en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=14
en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=15
en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=16
en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=artificial intelligence
kn-keyword=artificial intelligence
en-keyword=clinical decision support
kn-keyword=clinical decision support
en-keyword=diagnostic imaging
kn-keyword=diagnostic imaging
en-keyword=image annotation
kn-keyword=image annotation
en-keyword=osteosarcoma detection
kn-keyword=osteosarcoma detection
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=111371
end-page=111385
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240812
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Adaptive Resonance Theory-Based Global Topological Map Building for an Autonomous Mobile Robot
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=3D space perception is one of the key technologies for autonomous mobile robots that perform tasks in unknown environments. Among these, building global topological maps for autonomous mobile robots is a challenging task. In this study, we propose a method for learning topological structures from unknown data distributions based on competitive learning, a type of unsupervised learning. For this purpose, adaptive resonance theory-based Topological Clustering (ATC), which can avoid catastrophic forgetting of previously measured point clouds, is applied as a learning method. Furthermore, by extending ATC with Different Topologies (ATC-DT) with multiple topological structures for extracting the traversable information of terrain environments, a path planning method is realized that can reach target points set in an unknown environment. Path planning experiments in unknown environments show that, compared to other methods, ATC-DT can build a global topology map with high accuracy and stability using only measured 3D point cloud and robot position information.
en-copyright=
kn-copyright=
en-aut-name=TodaYuichiro
en-aut-sei=Toda
en-aut-mei=Yuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MasuyamaNaoki
en-aut-sei=Masuyama
en-aut-mei=Naoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Informatics, Osaka Metropolitan University
kn-affil=
en-keyword=Adaptive resonance theory
kn-keyword=Adaptive resonance theory
en-keyword=autonomous mobile robot
kn-keyword=autonomous mobile robot
en-keyword=topological map
kn-keyword=topological map
END
start-ver=1.4
cd-journal=joma
no-vol=10
cd-vols=
no-issue=
article-no=
start-page=100347
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202412
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Reduction with zinc - Impact on the determination of nitrite and nitrate ions using microfluidic paper-based analytical devices
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We used a microfluidic paper-based analytical device (mu PAD) to investigate the influence that zinc reduction exerts on the determination of nitrite and nitrate ions in natural water samples. The mu PAD consists of layered channels for the reduction of nitrate to nitrite with zinc powder and the subsequent detection of nitrite with Griess reagent. The amount of zinc, number of layers, and reaction time for the reduction were optimized to obtain an intense signal for nitrate. Initially, the sensitivity to nitrate corresponded to 55% that of nitrite, which implied an incomplete reduction. We found, however, that zinc decreased the sensitivity to nitrite in both the mu PAD and spectrophotometry. The sensitivity to nitrite was decreased by 48% in spectrophotometry and 68% in the mu PAD following the reaction with zinc. One of the reasons for the decreased sensitivity is attributed to the production of ammonia, as we elucidated that both nitrite and nitrate produced ammonia via the reaction with zinc. The results suggest that the total concentration of nitrite and nitrate must be corrected by constructing a calibration curve for nitrite with zinc, in addition to developing curves for nitrate with zinc and for nitrite without zinc. Using these calibration curves, the absorbance at different concentration ratios of nitrite and nitrate ions could be reproduced via calculation using the calibration curves with zinc for nitrite and nitrate. Eventually, the developed mu PAD was applied to the determination of nitrite and nitrate ions in natural water samples, and the results were compared with those using a conventional spectrophotometric method. The results of the mu PAD are in good agreement with those of conventional spectrophotometry, which suggests that the mu PAD is reliable for the measurement of nitrite and nitrate ions in natural water samples.
en-copyright=
kn-copyright=
en-aut-name=UmedaMika I.
en-aut-sei=Umeda
en-aut-mei=Mika I.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=DanchanaKaewta
en-aut-sei=Danchana
en-aut-mei=Kaewta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FujiiTakatoshi
en-aut-sei=Fujii
en-aut-mei=Takatoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HinoEiichi
en-aut-sei=Hino
en-aut-mei=Eiichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=DateYusuke
en-aut-sei=Date
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=AokiKaoru
en-aut-sei=Aoki
en-aut-mei=Kaoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KanetaTakashi
en-aut-sei=Kaneta
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Okayama University
kn-affil=
affil-num=2
en-affil=Okayama University
kn-affil=
affil-num=3
en-affil=National Institute of Technology, Yonago College
kn-affil=
affil-num=4
en-affil=National Institute of Technology, Yonago College
kn-affil=
affil-num=5
en-affil=National Institute of Technology, Yonago College
kn-affil=
affil-num=6
en-affil=National Institute of Technology, Yonago College
kn-affil=
affil-num=7
en-affil=Okayama University
kn-affil=
en-keyword=Microfluidic paper-based analytical device
kn-keyword=Microfluidic paper-based analytical device
en-keyword=Nitrite ion
kn-keyword=Nitrite ion
en-keyword=Nitrate ion
kn-keyword=Nitrate ion
en-keyword=On-site analysis
kn-keyword=On-site analysis
en-keyword=Environmental analysis
kn-keyword=Environmental analysis
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=17591
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240730
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Training high-performance deep learning classifier for diagnosis in oral cytology using diverse annotations
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The uncertainty of true labels in medical images hinders diagnosis owing to the variability across professionals when applying deep learning models. We used deep learning to obtain an optimal convolutional neural network (CNN) by adequately annotating data for oral exfoliative cytology considering labels from multiple oral pathologists. Six whole-slide images were processed using QuPath for segmenting them into tiles. The images were labeled by three oral pathologists, resulting in 14,535 images with the corresponding pathologists' annotations. Data from three pathologists who provided the same diagnosis were labeled as ground truth (GT) and used for testing. We investigated six models trained using the annotations of (1) pathologist A, (2) pathologist B, (3) pathologist C, (4) GT, (5) majority voting, and (6) a probabilistic model. We divided the test by cross-validation per slide dataset and examined the classification performance of the CNN with a ResNet50 baseline. Statistical evaluation was performed repeatedly and independently using every slide 10 times as test data. For the area under the curve, three cases showed the highest values (0.861, 0.955, and 0.991) for the probabilistic model. Regarding accuracy, two cases showed the highest values (0.988 and 0.967). For the models using the pathologists and GT annotations, many slides showed very low accuracy and large variations across tests. Hence, the classifier trained with probabilistic labels provided the optimal CNN for oral exfoliative cytology considering diagnoses from multiple pathologists. These results may lead to trusted medical artificial intelligence solutions that reflect diverse diagnoses of various professionals.
en-copyright=
kn-copyright=
en-aut-name=SukegawaShintaro
en-aut-sei=Sukegawa
en-aut-mei=Shintaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TanakaFuta
en-aut-sei=Tanaka
en-aut-mei=Futa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NakanoKeisuke
en-aut-sei=Nakano
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HaraTakeshi
en-aut-sei=Hara
en-aut-mei=Takeshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=OchiaiTakanaga
en-aut-sei=Ochiai
en-aut-mei=Takanaga
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=ShimadaKatsumitsu
en-aut-sei=Shimada
en-aut-mei=Katsumitsu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=InoueYuta
en-aut-sei=Inoue
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=TakiYoshihiro
en-aut-sei=Taki
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=NakaiFumi
en-aut-sei=Nakai
en-aut-mei=Fumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=NakaiYasuhiro
en-aut-sei=Nakai
en-aut-mei=Yasuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=IshihamaTakanori
en-aut-sei=Ishihama
en-aut-mei=Takanori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=MiyazakiRyo
en-aut-sei=Miyazaki
en-aut-mei=Ryo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=MurakamiSatoshi
en-aut-sei=Murakami
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=NagatsukaHitoshi
en-aut-sei=Nagatsuka
en-aut-mei=Hitoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=MiyakeMinoru
en-aut-sei=Miyake
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
affil-num=1
en-affil=Department of Oral Pathology and Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University
kn-affil=
affil-num=3
en-affil=Department of Oral Pathology and Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University
kn-affil=
affil-num=5
en-affil=Division of Oral Pathogenesis and Disease Control, Department of Oral Pathology, Asahi University School of Dentistry
kn-affil=
affil-num=6
en-affil=Department of Oral Pathology, Graduate School of Oral Medicine, Matsumoto Dental University
kn-affil=
affil-num=7
en-affil=Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University
kn-affil=
affil-num=8
en-affil=Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University
kn-affil=
affil-num=9
en-affil=Department of Oral and Maxillofacial Surgery, Kagawa University Faculty of Medicine
kn-affil=
affil-num=10
en-affil=Department of Oral and Maxillofacial Surgery, Kagawa University Faculty of Medicine
kn-affil=
affil-num=11
en-affil=Department of Oral and Maxillofacial Surgery, Kagawa University Faculty of Medicine
kn-affil=
affil-num=12
en-affil=Stony Brook Cancer Center, Stony Brook University
kn-affil=
affil-num=13
en-affil=Department of Oral Pathology, Graduate School of Oral Medicine, Matsumoto Dental University
kn-affil=
affil-num=14
en-affil=Department of Oral Pathology and Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=15
en-affil=Department of Oral and Maxillofacial Surgery, Kagawa University Faculty of Medicine
kn-affil=
en-keyword=Deep learning
kn-keyword=Deep learning
en-keyword=Oral cytology
kn-keyword=Oral cytology
en-keyword=Classification
kn-keyword=Classification
en-keyword=Convolutional neural network
kn-keyword=Convolutional neural network
en-keyword=Probabilistic labeling
kn-keyword=Probabilistic labeling
END
start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=15
article-no=
start-page=2930
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240724
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Performance Investigations of VSLAM and Google Street View Integration in Outdoor Location-Based Augmented Reality under Various Lighting Conditions
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The growing demand for Location-based Augmented Reality (LAR) experiences has driven the integration of Visual Simultaneous Localization And Mapping (VSLAM) with Google Street View (GSV) to enhance the accuracy. However, the impact of the ambient light intensity on the accuracy and reliability is underexplored, posing significant challenges in outdoor LAR implementations. This paper investigates the impact of light conditions on the accuracy and reliability of the VSLAM/GSV integration approach in outdoor LAR implementations. This study fills a gap in the current literature and offers valuable insights into vision-based approach implementation under different light conditions. Extensive experiments were conducted at five Point of Interest (POI) locations under various light conditions with a total of 100 datasets. Descriptive statistic methods were employed to analyze the data and assess the performance variation. Additionally, the Analysis of Variance (ANOVA) analysis was utilized to assess the impact of different light conditions on the accuracy metric and horizontal tracking time, determining whether there are significant differences in performance across varying levels of light intensity. The experimental results revealed that a significant correlation (p < 0.05) exists between the ambient light intensity and the accuracy of the VSLAM/GSV integration approach. Through the confidence interval estimation, the minimum illuminance 434 lx is needed to provide a feasible and consistent accuracy. Variations in visual references, such as wet surfaces in the rainy season, also impact the horizontal tracking time and accuracy.
en-copyright=
kn-copyright=
en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=RiyantokoPrismahardi Aji
en-aut-sei=Riyantoko
en-aut-mei=Prismahardi Aji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=light intensity
kn-keyword=light intensity
en-keyword=Location-based Augmented Reality (LAR)
kn-keyword=Location-based Augmented Reality (LAR)
en-keyword=outdoor
kn-keyword=outdoor
en-keyword=Visual Simultaneous Localization And Mapping (VSLAM)
kn-keyword=Visual Simultaneous Localization And Mapping (VSLAM)
en-keyword=Google Street View (GSV)
kn-keyword=Google Street View (GSV)
END
start-ver=1.4
cd-journal=joma
no-vol=8
cd-vols=
no-issue=8
article-no=
start-page=ziae085
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240704
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Macrophages modulate mesenchymal stem cell function via tumor necrosis factor alpha in tooth extraction model
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Mesenchymal stem cells (MSCs) and macrophages collaboratively contribute to bone regeneration after injury. However, detailed mechanisms underlying the interaction between MSCs and inflammatory macrophages (M1) remain unclear. A macrophage-depleted tooth extraction model was generated in 5-wk-old female C57BL/6J mice using clodronate liposome (12.5 mg/kg/mouse, intraperitoneally) or saline injection (control) before maxillary first molar extraction. Mice were sacrificed on days 1, 3, 5, 7, and 10 after tooth extraction (n = 4). Regenerated bone volume evaluation of tooth extraction socket (TES) and histochemical analysis of CD80+M1, CD206+M2 (anti-inflammatory macrophages), PDGFRα+MSC, and TNF-α+ cells were performed. In vitro, isolated MSCs with or without TNF-α stimulation (10 ng/mL, 24 h, n = 3) were bulk RNA-sequenced (RNA-Seq) to identify TNF-α stimulation-specific MSC transcriptomes. Day 7 micro-CT and HE staining revealed significantly lower mean bone volume (clodronate vs control: 0.01 mm3 vs 0.02 mm3, p<.0001) and mean percentage of regenerated bone area per total TES in clodronate group (41.97% vs 54.03%, p<.0001). Clodronate group showed significant reduction in mean number of CD80+, TNF-α+, PDGFRα+, and CD80+TNF-α+ cells on day 5 (306.5 vs 558.8, p<.0001; 280.5 vs 543.8, p<.0001; 365.0 vs 633.0, p<.0001, 29.0 vs 42.5, p<.0001), while these cells recovered significantly on day 7 (493.3 vs 396.0, p=.0004; 479.3 vs 384.5, p=.0008; 593.0 vs 473.0, p=.0010, 41.0 vs 32.5, p=.0003). RNA-Seq analysis showed that 15 genes (|log2FC| > 5.0, log2TPM > 5) after TNF-α stimulation were candidates for regulating MSC’s immunomodulatory capacity. In vivo, Clec4e and Gbp6 are involved in inflammation and bone formation. Clec4e, Gbp6, and Cxcl10 knockdown increased osteogenic differentiation of MSCs in vitro. Temporal reduction followed by apparent recovery of TNF-α-producing M1 macrophages and MSCs after temporal macrophage depletion suggests that TNF-α activated MSCs during TES healing. In vitro mimicking the effect of TNF-α on MSCs indicated that there are 15 candidate MSC genes for regulation of immunomodulatory capacity.
en-copyright=
kn-copyright=
en-aut-name=MunAung Ye
en-aut-sei=Mun
en-aut-mei=Aung Ye
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=AkiyamaKentaro
en-aut-sei=Akiyama
en-aut-mei=Kentaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=WangZiyi
en-aut-sei=Wang
en-aut-mei=Ziyi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ZhangJiewen
en-aut-sei=Zhang
en-aut-mei=Jiewen
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KitagawaWakana
en-aut-sei=Kitagawa
en-aut-mei=Wakana
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KohnoTeisaku
en-aut-sei=Kohno
en-aut-mei=Teisaku
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=TagashiraRyuji
en-aut-sei=Tagashira
en-aut-mei=Ryuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=IshibashiKei
en-aut-sei=Ishibashi
en-aut-mei=Kei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=MatsunagaNaoya
en-aut-sei=Matsunaga
en-aut-mei=Naoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=ZouTingling
en-aut-sei=Zou
en-aut-mei=Tingling
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=OnoMitsuaki
en-aut-sei=Ono
en-aut-mei=Mitsuaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=KubokiTakuo
en-aut-sei=Kuboki
en-aut-mei=Takuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
affil-num=1
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Molecular Biology and Biochemistry, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=10
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=11
en-affil=Department of Molecular Biology and Biochemistry, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=12
en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=cytokines
kn-keyword=cytokines
en-keyword=dental biology
kn-keyword=dental biology
en-keyword=injury healing
kn-keyword=injury healing
en-keyword=osteoimmunology
kn-keyword=osteoimmunology
en-keyword=stem cells
kn-keyword=stem cells
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=98175
end-page=98188
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Feasibility of Active Reactance Compensator for Autonomously Maximizing Repeater Coil Current of Wireless Power Transfer System Against Variations in Resonant Frequency and Magnetic Coupling Intensity
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In resonant inductive coupling wireless power transfer systems, a repeater resonator is crucial in expanding the charging area, enabling efficient power supply to receivers, such as small Internet of Things (IoT) devices sparsely distributed in a wide area. However, the repeater current is highly susceptible to deviations in resonance frequency due to manufacturing tolerance and aging, as well as to the magnetic coupling between the transmitter and repeater coils, potentially leading to insufficient amplitude. Consequently, the magnetic field generated by the repeater decreases and the receiver may be difficult to obtain sufficient power from the transmitter via the repeater. To address this problem, this paper proposes a wireless power transfer system with active reactance compensators incorporated in the repeater and the transmitter. The proposed system can equivalently adjust the resonant frequencies of the transmitter and repeater to stably maximize the repeater coil current regardless of the variations in the resonant frequency and the magnetic coupling intensity. Experiments successfully verify that the proposed system can provide a more stable and larger repeater current and output power than the conventional system against the variations in the magnetic field intensity and the resonant frequency of the repeater, validating the feasibility of the proposed system for practical utilization of the repeater in expanding the charging area.
en-copyright=
kn-copyright=
en-aut-name=IshiharaMasataka
en-aut-sei=Ishihara
en-aut-mei=Masataka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=UmetaniKazuhiro
en-aut-sei=Umetani
en-aut-mei=Kazuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KonishiAkihiro
en-aut-sei=Konishi
en-aut-mei=Akihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HirakiEiji
en-aut-sei=Hiraki
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Faculty of Life, Environment, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Faculty of Life, Environment, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Science and Engineering, Chiba University
kn-affil=
affil-num=4
en-affil=Faculty of Life, Environment, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Resonant inductive coupling
kn-keyword=Resonant inductive coupling
en-keyword=wireless power transfer
kn-keyword=wireless power transfer
en-keyword=repeater
kn-keyword=repeater
en-keyword=intermediate resonator
kn-keyword=intermediate resonator
en-keyword=frequency splitting phenomenon
kn-keyword=frequency splitting phenomenon
END
start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=14
article-no=
start-page=2700
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240710
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Reference Paper Collection System Using Web Scraping
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Collecting reference papers from the Internet is one of the most important activities for progressing research and writing papers about their results. Unfortunately, the current process using Google Scholar may not be efficient, since a lot of paper files cannot be accessed directly by the user. Even if they are accessible, their effectiveness needs to be checked manually. In this paper, we propose a reference paper collection system using web scraping to automate paper collections from websites. This system can collect or monitor data from the Internet, which is considered as the environment, using Selenium, a popular web scraping software, as the sensor; this examines the similarity against the search target by comparing the keywords using the Bert model. The Bert model is a deep learning model for natural language processing (NLP) that can understand context by analyzing the relationships between words in a sentence bidirectionally. The Python Flask is adopted at the web application server, where Angular is used for data presentations. For the evaluation, we measured the performance, investigated the accuracy, and asked members of our laboratory to use the proposed method and provide their feedback. Their results confirm the method’s effectiveness.
en-copyright=
kn-copyright=
en-aut-name=NaingInzali
en-aut-sei=Naing
en-aut-mei=Inzali
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=AungSoe Thandar
en-aut-sei=Aung
en-aut-mei=Soe Thandar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=WaiKhaing Hsu
en-aut-sei=Wai
en-aut-mei=Khaing Hsu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
en-keyword=web scraping
kn-keyword=web scraping
en-keyword=Google Scholar
kn-keyword=Google Scholar
en-keyword=data collection
kn-keyword=data collection
en-keyword=Bert
kn-keyword=Bert
en-keyword=Selenium
kn-keyword=Selenium
en-keyword=flask framework
kn-keyword=flask framework
en-keyword=Angular
kn-keyword=Angular
END
start-ver=1.4
cd-journal=joma
no-vol=39
cd-vols=
no-issue=5
article-no=
start-page=463
end-page=483
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240731
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Detailed Re-Examination of the Period Gene Rescue Experiments Shows That Four to Six Cryptochrome-Positive Posterior Dorsal Clock Neurons (DN1p) of Drosophila melanogaster Can Control Morning and Evening Activity
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Animal circadian clocks play a crucial role in regulating behavioral adaptations to daily environmental changes. The fruit fly Drosophila melanogaster exhibits 2 prominent peaks of activity in the morning and evening, known as morning (M) and evening (E) peaks. These peaks are controlled by 2 distinct circadian oscillators located in separate groups of clock neurons in the brain. To investigate the clock neurons responsible for the M and E peaks, a cell-specific gene expression system, the GAL4-UAS system, has been commonly employed. In this study, we re-examined the two-oscillator model for the M and E peaks of Drosophila by utilizing more than 50 Gal4 lines in conjunction with the UAS-period16 line, which enables the restoration of the clock function in specific cells in the period (per) null mutant background. Previous studies have indicated that the group of small ventrolateral neurons (s-LNv) is responsible for controlling the M peak, while the other group, consisting of the 5th ventrolateral neuron (5th LNv) and the three cryptochrome (CRY)-positive dorsolateral neurons (LNd), is responsible for the E peak. Furthermore, the group of posterior dorsal neurons 1 (DN1p) is thought to also contain M and E oscillators. In this study, we found that Gal4 lines directed at the same clock neuron groups can lead to different results, underscoring the fact that activity patterns are influenced by many factors. Nevertheless, we were able to confirm previous findings that the entire network of circadian clock neurons controls M and E peaks, with the lateral neurons playing a dominant role. In addition, we demonstrate that 4 to 6 CRY-positive DN1p cells are sufficient to generate M and E peaks in light-dark cycles and complex free-running rhythms in constant darkness. Ultimately, our detailed screening could serve as a catalog to choose the best Gal4 lines that can be used to rescue per in specific clock neurons.
en-copyright=
kn-copyright=
en-aut-name=SekiguchiManabu
en-aut-sei=Sekiguchi
en-aut-mei=Manabu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=ReinhardNils
en-aut-sei=Reinhard
en-aut-mei=Nils
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FukudaAyumi
en-aut-sei=Fukuda
en-aut-mei=Ayumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KatohShun
en-aut-sei=Katoh
en-aut-mei=Shun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=RiegerDirk
en-aut-sei=Rieger
en-aut-mei=Dirk
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=Helfrich-FörsterCharlotte
en-aut-sei=Helfrich-Förster
en-aut-mei=Charlotte
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=YoshiiTaishi
en-aut-sei=Yoshii
en-aut-mei=Taishi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Neurobiology and Genetics, Theodor-Boveri Institute, Biocenter, University of Würzburg
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Neurobiology and Genetics, Theodor-Boveri Institute, Biocenter, University of Würzburg
kn-affil=
affil-num=6
en-affil=Neurobiology and Genetics, Theodor-Boveri Institute, Biocenter, University of Würzburg
kn-affil=
affil-num=7
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=period
kn-keyword=period
en-keyword=GAL4-UAS
kn-keyword=GAL4-UAS
en-keyword=clock neuron
kn-keyword=clock neuron
en-keyword=activity rhythm
kn-keyword=activity rhythm
en-keyword=two-oscillator model
kn-keyword=two-oscillator model
END
start-ver=1.4
cd-journal=joma
no-vol=25
cd-vols=
no-issue=13
article-no=
start-page=7398
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240705
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Mechanisms and Functions of Sweet Reception in Oral and Extraoral Organs
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The oral detection of sugars relies on two types of receptor systems. The first is the G-protein-coupled receptor TAS1R2/TAS1R3. When activated, this receptor triggers a downstream signaling cascade involving gustducin, phospholipase C beta 2 (PLC beta 2), and transient receptor potential channel M5 (TRPM5). The second type of receptor is the glucose transporter. When glucose enters the cell via this transporter, it is metabolized to produce ATP. This ATP inhibits the opening of KATP channels, leading to cell depolarization. Beside these receptor systems, sweet-sensitive taste cells have mechanisms to regulate their sensitivity to sweet substances based on internal and external states of the body. Sweet taste receptors are not limited to the oral cavity; they are also present in extraoral organs such as the gastrointestinal tract, pancreas, and brain. These extraoral sweet receptors are involved in various functions, including glucose absorption, insulin release, sugar preference, and food intake, contributing to the maintenance of energy homeostasis. Additionally, sweet receptors may have unique roles in certain organs like the trachea and bone. This review summarizes past and recent studies on sweet receptor systems, exploring the molecular mechanisms and physiological functions of sweet (sugar) detection in both oral and extraoral organs.
en-copyright=
kn-copyright=
en-aut-name=YoshidaRyusuke
en-aut-sei=Yoshida
en-aut-mei=Ryusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NinomiyaYuzo
en-aut-sei=Ninomiya
en-aut-mei=Yuzo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Oral Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=sweet taste
kn-keyword=sweet taste
en-keyword=energy homeostasis
kn-keyword=energy homeostasis
en-keyword=T1R3
kn-keyword=T1R3
en-keyword=GLUT
kn-keyword=GLUT
en-keyword=SGLT
kn-keyword=SGLT
en-keyword=sugar
kn-keyword=sugar
END
start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=13
article-no=
start-page=4293
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240701
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Internet of Things (IoT) devices are leading to advancements in innovation, efficiency, and sustainability across various industries. However, as the number of connected IoT devices increases, the risk of intrusion becomes a major concern in IoT security. To prevent intrusions, it is crucial to implement intrusion detection systems (IDSs) that can detect and prevent such attacks. IDSs are a critical component of cybersecurity infrastructure. They are designed to detect and respond to malicious activities within a network or system. Traditional IDS methods rely on predefined signatures or rules to identify known threats, but these techniques may struggle to detect novel or sophisticated attacks. The implementation of IDSs with machine learning (ML) and deep learning (DL) techniques has been proposed to improve IDSs' ability to detect attacks. This will enhance overall cybersecurity posture and resilience. However, ML and DL techniques face several issues that may impact the models' performance and effectiveness, such as overfitting and the effects of unimportant features on finding meaningful patterns. To ensure better performance and reliability of machine learning models in IDSs when dealing with new and unseen threats, the models need to be optimized. This can be done by addressing overfitting and implementing feature selection. In this paper, we propose a scheme to optimize IoT intrusion detection by using class balancing and feature selection for preprocessing. We evaluated the experiment on the UNSW-NB15 dataset and the NSL-KD dataset by implementing two different ensemble models: one using a support vector machine (SVM) with bagging and another using long short-term memory (LSTM) with stacking. The results of the performance and the confusion matrix show that the LSTM stacking with analysis of variance (ANOVA) feature selection model is a superior model for classifying network attacks. It has remarkable accuracies of 96.92% and 99.77% and overfitting values of 0.33% and 0.04% on the two datasets, respectively. The model's ROC is also shaped with a sharp bend, with AUC values of 0.9665 and 0.9971 for the UNSW-NB15 dataset and the NSL-KD dataset, respectively.
en-copyright=
kn-copyright=
en-aut-name=MusthafaMuhammad Bisri
en-aut-sei=Musthafa
en-aut-mei=Muhammad Bisri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HudaSamsul
en-aut-sei=Huda
en-aut-mei=Samsul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KoderaYuta
en-aut-sei=Kodera
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=AliMd. Arshad
en-aut-sei=Ali
en-aut-mei=Md. Arshad
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=ArakiShunsuke
en-aut-sei=Araki
en-aut-mei=Shunsuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MwauraJedidah
en-aut-sei=Mwaura
en-aut-mei=Jedidah
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=NogamiYasuyuki
en-aut-sei=Nogami
en-aut-mei=Yasuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Green Innovation Center, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Faculty of CSE, Hajee Mohammad Danesh Science and Technology University
kn-affil=
affil-num=5
en-affil=Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
kn-affil=
affil-num=6
en-affil=Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
kn-affil=
affil-num=7
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=intrusion detection system
kn-keyword=intrusion detection system
en-keyword=feature selection
kn-keyword=feature selection
en-keyword=class balancing
kn-keyword=class balancing
en-keyword=ensemble technique
kn-keyword=ensemble technique
en-keyword=stacked long short-term memory
kn-keyword=stacked long short-term memory
END
start-ver=1.4
cd-journal=joma
no-vol=125
cd-vols=
no-issue=2
article-no=
start-page=023104
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240708
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Enhanced thermal conductivity of fluids by percolating high-concentration few-layer graphene
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=High-performance and small-sized heat exchangers have been demanded due to the miniaturization and higher output of electronic devices, lasers, and energy harvesting/storage systems. Graphene nanosheet suspension has attracted attention as a next-generation nanofluid because of its high thermal conductivity and low pressure drop, while being dispersed stably without any additives. Graphene-based nanofluids have been mostly investigated using graphene oxide, and there are a few studies on pure graphene because of the limitation in mass production and stabilization at high concentrations of graphene. In this study, we prepared a 10 wt. % high-concentration few-layer graphene suspension by pulverizing graphite particles. Scanning electron microscopy, atomic force microscopy, and Raman spectra confirmed the few-layer graphene is formed in the suspension. The thermal conductivity of the suspension increased with concentration and suddenly jumped at a specific concentration. Furthermore, a significant improvement in thermal conductivity of >40% compared to base liquid was confirmed at 10 wt. % graphene content. A similar trend was observed for electrical resistance; 10 wt. % graphene suspension showed 62% lower resistance than that of 1 wt. %. These results suggest the percolation of graphene in a liquid, which has not been observed for graphene-based materials in previous research.
en-copyright=
kn-copyright=
en-aut-name=IshiiKeiko
en-aut-sei=Ishii
en-aut-mei=Keiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=OgiyamaTakahiro
en-aut-sei=Ogiyama
en-aut-mei=Takahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FumotoKoji
en-aut-sei=Fumoto
en-aut-mei=Koji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=NishinaYuta
en-aut-sei=Nishina
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=College of Science and Engineering, Chuo University
kn-affil=
affil-num=2
en-affil=College of Science and Engineering, Aoyama Gakuin University
kn-affil=
affil-num=3
en-affil=College of Science and Engineering, Aoyama Gakuin University
kn-affil=
affil-num=4
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=5
article-no=
start-page=3322
end-page=3331
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240702
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Prediction of heart failure events based on physiologic sensor data in HINODE defibrillator patients
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Aims Hospitalizations are common in patients with heart failure and are associated with high mortality, readmission and economic burden. Detecting early signs of worsening heart failure may enable earlier intervention and reduce hospitalizations. The HeartLogic algorithm is designed to predict worsening heart failure using diagnostic data from multiple device sensors. The main objective of this analysis was to evaluate the sensitivity of the HeartLogic alert calculation in predicting worsening heart failure events (HFEs). We also evaluated the false positive alert rate (FPR) and compared the incidence of HFEs occurring in a HeartLogic alert state to those occurring out of an alert state.
Methods The HINODE study enrolled 144 patients (81 ICD and 63 CRT-D) with device sensor data transmitted via a remote monitoring system. HeartLogic alerts were then retrospectively simulated using relevant sensor data. Clinicians and patients were blinded to calculated alerts. Reported adverse events with HF symptoms were adjudicated and classified by an independent HFE committee. Sensitivity was defined as the ratio of the number of detected usable HFEs (true positives) to the total number of usable HFEs. A false positive alert was defined as an alert with no usable HFE between the alert onset date and the alert recovery date plus 30 days. The patient follow-up period was categorized as in alert state or out of alert state. The event rate ratio was the HFE rate calculated in alert to out of alert.
Results The patient cohort was 79% male and had an average age of 68 +/- 12 years. This analysis yielded 244 years of follow-up data with 73 HFEs from 37 patients. A total of 311 HeartLogic alerts at the nominal threshold (16) occurred across 106 patients providing an alert rate of 1.27 alerts per patient-year. The HFE rate was 8.4 times greater while in alert compared with out of alert (1.09 vs. 0.13 events per patient-year; P < 0.001). At the nominal alert threshold, 80.8% of HFEs were detected by a HeartLogic alert [95% confidence interval (CI): 69.9%-89.1%]. The median time from first true positive alert to an adjudicated clinical HFE was 53 days. The FPR was 1.16 (95% CI: 0.98-1.38) alerts per patient-year.
Conclusions Results suggest that signs of worsening HF can be detected successfully with remote patient follow-up. The use of HeartLogic may predict periods of increased risk for HF or clinically significant events, allowing for early intervention and reduction of hospitalization in a vulnerable patient population.
en-copyright=
kn-copyright=
en-aut-name=NishiiNobuhiro
en-aut-sei=Nishii
en-aut-mei=Nobuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SakataYasushi
en-aut-sei=Sakata
en-aut-mei=Yasushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MuroharaToyoaki
en-aut-sei=Murohara
en-aut-mei=Toyoaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=AndoKenji
en-aut-sei=Ando
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=IkedaTakanori
en-aut-sei=Ikeda
en-aut-mei=Takanori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MitsuhashiTakeshi
en-aut-sei=Mitsuhashi
en-aut-mei=Takeshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=NogamiAkihiko
en-aut-sei=Nogami
en-aut-mei=Akihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=ShimizuWataru
en-aut-sei=Shimizu
en-aut-mei=Wataru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=SchwartzTorri
en-aut-sei=Schwartz
en-aut-mei=Torri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=KayserTorsten
en-aut-sei=Kayser
en-aut-mei=Torsten
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=BeaudointCaroline
en-aut-sei=Beaudoint
en-aut-mei=Caroline
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=AonumaKazutaka
en-aut-sei=Aonuma
en-aut-mei=Kazutaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=for HINODE Investigators
en-aut-sei=for HINODE Investigators
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
affil-num=1
en-affil=Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
kn-affil=
affil-num=3
en-affil=Department of Cardiology, Nagoya University Graduate School of Medicine
kn-affil=
affil-num=4
en-affil=Department of Cardiology, Kokura Memorial Hospital
kn-affil=
affil-num=5
en-affil=Department of Cardiovascular Medicine, Toho University Faculty of Medicine
kn-affil=
affil-num=6
en-affil=Department of Cardiology, Hoshi General Hospital
kn-affil=
affil-num=7
en-affil=Department of Cardiology, Faculty of Medicine, University of Tsukuba
kn-affil=
affil-num=8
en-affil=Department of Cardiovascular Medicine, Nippon Medical School
kn-affil=
affil-num=9
en-affil=Boston Scientific
kn-affil=
affil-num=10
en-affil=Boston Scientific
kn-affil=
affil-num=11
en-affil=Boston Scientific
kn-affil=
affil-num=12
en-affil=Department of Cardiology, Faculty of Medicine, University of Tsukuba
kn-affil=
affil-num=13
en-affil=
kn-affil=
en-keyword=HeartLogic
kn-keyword=HeartLogic
en-keyword=heart failure
kn-keyword=heart failure
en-keyword=remote monitoring
kn-keyword=remote monitoring
en-keyword=ICD
kn-keyword=ICD
en-keyword=CRT
kn-keyword=CRT
en-keyword=hospitalization
kn-keyword=hospitalization
END
start-ver=1.4
cd-journal=joma
no-vol=60
cd-vols=
no-issue=3
article-no=
start-page=3934
end-page=3949
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240301
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Designing and Prototyping an Axial-Flux Machine Using Ferrite PM and Round Wire for Traction Applications: Comparison With a Radial-Flux Machine Using Nd-Fe-B PM and Rectangular Wire
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=This paper proposes a novel axial-flux permanent magnet machine (AFPM) employing ferrite permanent magnets (PMs) and round copper wire. The proposed AFPM adopts a novel rotor structure and uses tooth-tips with a suitable trapezoidal shape. These structures compensate for the low magnetomotive force of the round copper wire and ferrite PMs, achieving high performance at low cost. Additionally, compared with an off-the-shelf radial-flux permanent magnet machine (RFPM) using Nd-sintered PMs and rectangular copper wire, the proposed AFPM achieves the same output power and higher efficiency, despite using ferrite PMs and the round copper wire. Finally, a prototype of the proposed AFPM was manufactured and evaluated experimentally. The prototype achieved a high efficiency of over 95% across a wide operating area while maintaining required maximum torque, suggesting its potential for traction applications.
en-copyright=
kn-copyright=
en-aut-name=TsunataRen
en-aut-sei=Tsunata
en-aut-mei=Ren
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=IzumiyaKosuke
en-aut-sei=Izumiya
en-aut-mei=Kosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=TakemotoMasatsugu
en-aut-sei=Takemoto
en-aut-mei=Masatsugu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ImaiJun
en-aut-sei=Imai
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=SaitoTatsuya
en-aut-sei=Saito
en-aut-mei=Tatsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=UenoTomoyuki
en-aut-sei=Ueno
en-aut-mei=Tomoyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Division of Industrial Innovation Sciences Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Division of Industrial Innovation Sciences Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Division of Industrial Innovation Sciences Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Division of Industrial Innovation Sciences Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Sumitomo Electric Industries Ltd.
kn-affil=
affil-num=6
en-affil=Sumitomo Electric Industries Ltd.
kn-affil=
en-keyword=Axial gap motor
kn-keyword=Axial gap motor
en-keyword=axial-flux machine
kn-keyword=axial-flux machine
en-keyword=carbon fiber rotor
kn-keyword=carbon fiber rotor
en-keyword=carbon fiber-reinforced plastic
kn-keyword=carbon fiber-reinforced plastic
en-keyword=city commuter
kn-keyword=city commuter
en-keyword=ferrite magnet
kn-keyword=ferrite magnet
en-keyword=flat copper wire
kn-keyword=flat copper wire
en-keyword=high circumferential speed
kn-keyword=high circumferential speed
en-keyword=radial-flux machine
kn-keyword=radial-flux machine
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=5082
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240614
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Strain-induced long-range charge-density wave order in the optimally doped Bi2Sr2-x Lax CuO6 superconductor
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The mechanism of high-temperature superconductivity in copper oxides (cuprate) remains elusive, with the pseudogap phase considered a potential factor. Recent attention has focused on a long-range symmetry-broken charge-density wave (CDW) order in the underdoped regime, induced by strong magnetic fields. Here by Cu-63,Cu-65-nuclear magnetic resonance, we report the discovery of a long-range CDW order in the optimally doped Bi2Sr2-xLaxCuO6 superconductor, induced by in-plane strain exceeding divided by epsilon divided by = 0.15 %, which deliberately breaks the crystal symmetry of the CuO2 plane. We find that compressive/tensile strains reduce superconductivity but enhance CDW, leaving superconductivity to coexist with CDW. The findings show that a long-range CDW order is an underlying hidden order in the pseudogap state, not limited to the underdoped regime, becoming apparent under strain. Our result sheds light on the intertwining of various orders in the cuprates.
en-copyright=
kn-copyright=
en-aut-name=KawasakiShinji
en-aut-sei=Kawasaki
en-aut-mei=Shinji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TsukudaNao
en-aut-sei=Tsukuda
en-aut-mei=Nao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=LinChengtian
en-aut-sei=Lin
en-aut-mei=Chengtian
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=ZhengGuo-Qing
en-aut-sei=Zheng
en-aut-mei=Guo-Qing
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Physics, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Physics, Okayama University
kn-affil=
affil-num=3
en-affil=Max-Planck-Institut fur Festkorperforschung
kn-affil=
affil-num=4
en-affil=Department of Physics, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=2024
cd-vols=
no-issue=
article-no=
start-page=6505595
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240528
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Circadian Rhythms Fluctuate the Treatment Effects of Intravesical Treatments on Rat Urinary Frequency Models
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Objectives. It is still not clear how the intravesical instillation of drugs affects rat urinary frequency. This study aimed to examine the dynamics of intravesical treatments' treatment effect on rat urinary frequency models by real-time and extended monitoring using a novel continuous urination monitoring system. Methods. Nine eleven-week-old female Wistar rats were divided into three groups to receive intravesical instillation of 0.1% acetic acid (AA), 1.0% AA, or phosphate-buffered saline (PBS). Thirty minutes later, these drugs were voided, and rats were moved to a continuous urination monitoring system, UM-100. UM-100 monitored rat urination quantitatively and continuously for 24 hours. Rats were then euthanized, and histopathologic examinations using a damage score validated the severity of bladder inflammation. We used nine additional rats to determine the treatment effect of various drugs against the urinary frequency. These rats were also treated with 1.0% AA in the same way and divided into three groups (n = 3 each) to receive intravesical instillation of lidocaine, silver nitrate (AgNO3), or dimethyl sulfoxide (DMSO), respectively. Thirty minutes later, rats were catheterized again and moved to the UM-100, and their voiding was monitored for 24 hours. Results. Intravesical instillation of AA increased the urinary frequency and decreased the mean voided volume (VV) in a concentration-dependent manner, with statistical significance at a concentration of 1.0% (urinary frequency; p = 0.0007 , mean VV; p = 0.0032 , respectively) compared with PBS. Histopathological analysis of these models demonstrated a significantly higher damage score of bladder mucosa in both 0.1% AA and 1.0% AA compared with PBS, with the severity in concordance with the clinical severity of urinary frequency (0.1% AA: p < 0.0001 , 1.0% AA: p < 0.0001 ). Moreover, intravesical instillation of lidocaine, AgNO3, and DMSO decreased the urinary frequency. Continuous monitoring with UM-100 also demonstrated that the treatment effect of these intravesically instilled drugs occurred only at night. Conclusions. The extended monitoring of rat urination by UM-100 revealed a significant fluctuation in the treatment effect of intravesically instilled drugs between day and night. These findings may help establish novel therapies for urinary frequency.
en-copyright=
kn-copyright=
en-aut-name=WatanabeTomofumi
en-aut-sei=Watanabe
en-aut-mei=Tomofumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SadahiraTakuya
en-aut-sei=Sadahira
en-aut-mei=Takuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=TominagaYusuke
en-aut-sei=Tominaga
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MaruyamaYuki
en-aut-sei=Maruyama
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NagasakiNaoya
en-aut-sei=Nagasaki
en-aut-mei=Naoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=SekitoTakanori
en-aut-sei=Sekito
en-aut-mei=Takanori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=EdamuraKohei
en-aut-sei=Edamura
en-aut-mei=Kohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=WatanabeToyohiko
en-aut-sei=Watanabe
en-aut-mei=Toyohiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=ArakiMotoo
en-aut-sei=Araki
en-aut-mei=Motoo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=WatanabeMasami
en-aut-sei=Watanabe
en-aut-mei=Masami
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=4610
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240530
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An NLR paralog Pit2 generated from tandem duplication of Pit1 fine-tunes Pit1 localization and function
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=NLR family proteins act as intracellular receptors. Gene duplication amplifies the number of NLR genes, and subsequent mutations occasionally provide modifications to the second gene that benefits immunity. However, evolutionary processes after gene duplication and functional relationships between duplicated NLRs remain largely unclear. Here, we report that the rice NLR protein Pit1 is associated with its paralogue Pit2. The two are required for the resistance to rice blast fungus but have different functions: Pit1 induces cell death, while Pit2 competitively suppresses Pit1-mediated cell death. During evolution, the suppression of Pit1 by Pit2 was probably generated through positive selection on two fate-determining residues in the NB-ARC domain of Pit2, which account for functional differences between Pit1 and Pit2. Consequently, Pit2 lost its plasma membrane localization but acquired a new function to interfere with Pit1 in the cytosol. These findings illuminate the evolutionary trajectory of tandemly duplicated NLR genes after gene duplication.
en-copyright=
kn-copyright=
en-aut-name=LiYuying
en-aut-sei=Li
en-aut-mei=Yuying
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WangQiong
en-aut-sei=Wang
en-aut-mei=Qiong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=JiaHuimin
en-aut-sei=Jia
en-aut-mei=Huimin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=IshikawaKazuya
en-aut-sei=Ishikawa
en-aut-mei=Kazuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KosamiKen-Ichi
en-aut-sei=Kosami
en-aut-mei=Ken-Ichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=UebaTakahiro
en-aut-sei=Ueba
en-aut-mei=Takahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=TsujimotoAtsumi
en-aut-sei=Tsujimoto
en-aut-mei=Atsumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=YamanakaMiki
en-aut-sei=Yamanaka
en-aut-mei=Miki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=YabumotoYasuyuki
en-aut-sei=Yabumoto
en-aut-mei=Yasuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=MikiDaisuke
en-aut-sei=Miki
en-aut-mei=Daisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=SasakiEriko
en-aut-sei=Sasaki
en-aut-mei=Eriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=FukaoYoichiro
en-aut-sei=Fukao
en-aut-mei=Yoichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=FujiwaraMasayuki
en-aut-sei=Fujiwara
en-aut-mei=Masayuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=Kaneko-KawanoTakako
en-aut-sei=Kaneko-Kawano
en-aut-mei=Takako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=TanLi
en-aut-sei=Tan
en-aut-mei=Li
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
en-aut-name=KojimaChojiro
en-aut-sei=Kojima
en-aut-mei=Chojiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=16
ORCID=
en-aut-name=WingRod A.
en-aut-sei=Wing
en-aut-mei=Rod A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=17
ORCID=
en-aut-name=SebastianAlfino
en-aut-sei=Sebastian
en-aut-mei=Alfino
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=18
ORCID=
en-aut-name=NishimuraHideki
en-aut-sei=Nishimura
en-aut-mei=Hideki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=19
ORCID=
en-aut-name=FukadaFumi
en-aut-sei=Fukada
en-aut-mei=Fumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=20
ORCID=
en-aut-name=NiuQingfeng
en-aut-sei=Niu
en-aut-mei=Qingfeng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=21
ORCID=
en-aut-name=ShimizuMotoki
en-aut-sei=Shimizu
en-aut-mei=Motoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=22
ORCID=
en-aut-name=YoshidaKentaro
en-aut-sei=Yoshida
en-aut-mei=Kentaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=23
ORCID=
en-aut-name=TerauchiRyohei
en-aut-sei=Terauchi
en-aut-mei=Ryohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=24
ORCID=
en-aut-name=ShimamotoKo
en-aut-sei=Shimamoto
en-aut-mei=Ko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=25
ORCID=
en-aut-name=KawanoYoji
en-aut-sei=Kawano
en-aut-mei=Yoji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=26
ORCID=
affil-num=1
en-affil=Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
kn-affil=
affil-num=2
en-affil=Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences
kn-affil=
affil-num=3
en-affil=College of Agronomy, Jiangxi Agricultural University
kn-affil=
affil-num=4
en-affil=Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences
kn-affil=
affil-num=5
en-affil=Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences
kn-affil=
affil-num=6
en-affil=Laboratory of Plant Molecular Genetics, Nara Institute of Science and Technology
kn-affil=
affil-num=7
en-affil=Laboratory of Plant Molecular Genetics, Nara Institute of Science and Technology
kn-affil=
affil-num=8
en-affil=Laboratory of Plant Molecular Genetics, Nara Institute of Science and Technology
kn-affil=
affil-num=9
en-affil=Laboratory of Plant Molecular Genetics, Nara Institute of Science and Technology
kn-affil=
affil-num=10
en-affil=Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences
kn-affil=
affil-num=11
en-affil=Faculty of Science, Kyushu University
kn-affil=
affil-num=12
en-affil=Department of Bioinformatics, Ritsumeikan University
kn-affil=
affil-num=13
en-affil=YANMAR HOLDINGS Co., Ltd.
kn-affil=
affil-num=14
en-affil=College of Pharmaceutical Sciences, Ritsumeikan University
kn-affil=
affil-num=15
en-affil=Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences
kn-affil=
affil-num=16
en-affil=Graduate School of Engineering Science, Yokohama National University
kn-affil=
affil-num=17
en-affil=Arizona Genomics Institute, School of Plant Sciences, University of Arizona
kn-affil=
affil-num=18
en-affil=Institute of Plant Science and Resources, Okayama University
kn-affil=
affil-num=19
en-affil=Institute of Plant Science and Resources, Okayama University
kn-affil=
affil-num=20
en-affil=Institute of Plant Science and Resources, Okayama University
kn-affil=
affil-num=21
en-affil=Advanced Academy, Anhui Agricultural University, Research Centre for Biological Breeding Technology
kn-affil=
affil-num=22
en-affil=Iwate Biotechnology Research Center
kn-affil=
affil-num=23
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=24
en-affil=Iwate Biotechnology Research Center
kn-affil=
affil-num=25
en-affil=Laboratory of Plant Molecular Genetics, Nara Institute of Science and Technology
kn-affil=
affil-num=26
en-affil=Institute of Plant Science and Resources, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=29
cd-vols=
no-issue=10
article-no=
start-page=2270
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240511
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Recognition of 8-Oxo-2′-deoxyguanosine in DNA Using the Triphosphate of 2′-Deoxycytidine Connecting the 1,3-Diazaphenoxazine Unit, dCdapTP
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=DNA is constantly damaged by various external and internal factors. In particular, oxidative damage occurs in a steady state, and 8-oxo-2 '-deoxyguanosine (oxodG) is known as the main oxidative damage. OxodG is a strong genotoxic nucleoside and is thought to be involved in the pathogenesis of cancer and neurological diseases. However, a breakthrough method to detect the position of oxodG in DNA has not yet been developed. Therefore, we attempted to develop a novel method to detect oxodG in DNA using artificial nucleosides. Recently, we have succeeded in the recognition of oxodG in DNA by a single nucleotide elongation reaction using nucleoside derivatives based on a purine skeleton with a 1,3-diazaphenoxazine unit. In this study, we developed a new nucleoside derivative with a pyrimidine skeleton in order to further improve the recognition ability and enzymatic reaction efficiency. We, therefore, designed and synthesized 2 '-deoxycytidine-1,3-diazaphenoxazine (Cdap) and its triphosphate derivatives. The results showed that it was incorporated into the primer strand relative to the dG template because of its cytidine skeleton, but it was more effective at the complementary position of the oxodG template. These results indicate that the new nucleoside derivative can be considered as one of the new candidates for the detection of oxodG in DNA.
en-copyright=
kn-copyright=
en-aut-name=SakuradaTakato
en-aut-sei=Sakurada
en-aut-mei=Takato
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=ChikadaYuta
en-aut-sei=Chikada
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MiyaharaRyo
en-aut-sei=Miyahara
en-aut-mei=Ryo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TaniguchiYosuke
en-aut-sei=Taniguchi
en-aut-mei=Yosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Graduate School of Pharmaceutical Sciences, Kyushu University
kn-affil=
affil-num=2
en-affil=Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Pharmaceutical Sciences, Kyushu University
kn-affil=
affil-num=4
en-affil=Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=8-oxo-2 '-deoxyguanosine
kn-keyword=8-oxo-2 '-deoxyguanosine
en-keyword=single nucleotide elongation reaction
kn-keyword=single nucleotide elongation reaction
en-keyword=artificial nucleoside triphosphate
kn-keyword=artificial nucleoside triphosphate
en-keyword=2 '-deoxycytidine derivatives
kn-keyword=2 '-deoxycytidine derivatives
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=5
article-no=
start-page=477
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240430
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Measurements of Thermodynamic Data of Water in Ca-Bentonite by Relative Humidity Method
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Buffer material (compacted bentonite), one of the engineered barrier elements in the geological disposal of a high-level radioactive waste, develops swelling stress due to groundwater penetration from the surrounding rock mass. Montmorillonite is the major clay mineral component of bentonite. Even previous studies provide few mechanical and thermodynamic data on Ca-montmorillonite. In this study, thermodynamic data on Ca-montmorillonite were obtained as a function of water content by measuring relative humidity (RH) and temperature. The activities of water and the relative partial molar Gibbs free energies of water were determined from the experimental results, and the swelling stress of Ca-bentonite was calculated using the thermodynamic model and compared with measured data. The activities of water and the relative partial molar Gibbs free energies obtained in the experiments decreased with decreasing water content in water contents lower than about 25%. This trend was similar to that of Na-montmorillonite. The swelling stress calculated based on the thermodynamic model was approximately 200 MPa at a montmorillonite partial density of 2.0 Mg/m3 and approximately 10 MPa at a montmorillonite partial density of 1.4 Mg/m3. The swelling stresses in the high-density region (around 2.0 Mg/m3) were higher than that of Na-montmorillonite and were similar levels in the low-density region (around 1.5 Mg/m3). Comparison with measured data showed the practicality of the thermodynamic model.
en-copyright=
kn-copyright=
en-aut-name=IchikawaKosuke
en-aut-sei=Ichikawa
en-aut-mei=Kosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SatoHaruo
en-aut-sei=Sato
en-aut-mei=Haruo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=geological disposal
kn-keyword=geological disposal
en-keyword=buffer material
kn-keyword=buffer material
en-keyword=Ca-montmorillonite
kn-keyword=Ca-montmorillonite
en-keyword=bentonite
kn-keyword=bentonite
en-keyword=swelling stress
kn-keyword=swelling stress
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=共有結合による2次元材料/ポリイミド複合材料の創出
kn-title=Fabrication of two-dimensional materials/polyimide composites by covalent bonding strategies
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=CHENGYIKAI
en-aut-sei=CHENG
en-aut-mei=YIKAI
kn-aut-name=程奕愷
kn-aut-sei=程
kn-aut-mei=奕愷
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=乳牛の乳汁、乳房皮膚および糞便細菌叢と血液性状および乳成分の関係
kn-title=Milk, udder skin, and fecal microbiota and their relationships with blood metabolites and milk composition in dairy herds
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=Aodaohu
en-aut-sei=Aodaohu
en-aut-mei=
kn-aut-name=敖道胡
kn-aut-sei=敖道胡
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=岡山大学大学院環境生命科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=光共生性無腸動物Praesagittifera naikaiensisの行動メカニズムに関する研究
kn-title=Studies on behavioral mechanisms in a photosymbiotic acoel flatworm, Praesagittifera naikaiensis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=SAKAGAMITosuke
en-aut-sei=SAKAGAMI
en-aut-mei=Tosuke
kn-aut-name=坂上登亮
kn-aut-sei=坂上
kn-aut-mei=登亮
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=岡山大学大学院環境生命科学研究科
END
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cd-journal=joma
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dt-pub-year=2024
dt-pub=20240325
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en-subject=
kn-subject=
en-title=グーグルアースエンジンから得られるリモートセンシングデータを用いたマレーシア・ムダ灌漑地区における三次灌漑システム評価アプローチの改善
kn-title=Improving tertiary irrigation system appraisal approach in Muda Irrigation Scheme, Malaysia through remotely sensed data from Google Earth Engine
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=ALIYA BINTI MHD ZAHIR
en-aut-sei=ALIYA BINTI MHD ZAHIR
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=岡山大学大学院環境生命科学研究科
END
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cd-journal=joma
no-vol=
cd-vols=
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dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
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kn-article=
en-subject=
kn-subject=
en-title=
kn-title=航空レーザ測量データと地形量図を用いた斜面災害リスク個所の机上調査法の研究
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=IMANISHIMasafumi
en-aut-sei=IMANISHI
en-aut-mei=Masafumi
kn-aut-name=今西将文
kn-aut-sei=今西
kn-aut-mei=将文
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=岡山大学大学院環境生命科学研究科
END
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cd-journal=joma
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cd-vols=
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dt-received=
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dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=熱伝達媒体としてのマイクロカプセル化相変化材料(MPCM)スラリーの潜熱利用と熱伝達特性
kn-title=Latent Heat Utilization and Heat Transfer Characteristics of Microencapsulated Phase Change Materials (MPCM) Slurry as Heat Transfer Medium
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=YUANZHENGYIN
en-aut-sei=YUAN
en-aut-mei=ZHENGYIN
kn-aut-name=袁争印
kn-aut-sei=袁
kn-aut-mei=争印
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
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cd-journal=joma
no-vol=
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dt-pub-year=2024
dt-pub=20240325
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kn-subject=
en-title=
kn-title=抵抗スポット溶接の電気・熱・力学連成数値解析に関する研究
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=FUKUMOTOManabu
en-aut-sei=FUKUMOTO
en-aut-mei=Manabu
kn-aut-name=福本学
kn-aut-sei=福本
kn-aut-mei=学
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
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cd-journal=joma
no-vol=
cd-vols=
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dt-received=
dt-revised=
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dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=電子機器のEMC設計のための平行平板共振およびモード変換の等価回路モデルとその利用に関する研究
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=KANAOSho
en-aut-sei=KANAO
en-aut-mei=Sho
kn-aut-name=金尾奨
kn-aut-sei=金尾
kn-aut-mei=奨
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
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cd-journal=joma
no-vol=
cd-vols=
no-issue=
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dt-received=
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dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=モデルベースによる無線LANの同時通信のためのアクセスポイントの通信インターフェース設定最適化アルゴリズムの研究
kn-title=A Study of Model-Based Interface Setup Optimization Algorithm for Concurrently Communicating Access Points in Wireless Local Area Network
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=AKHTERFatema
en-aut-sei=AKHTER
en-aut-mei=Fatema
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=ピリジル、イミダゾリル及びオキサゾリル基を有する非対称アジンの選択的合成と、それらを配位子として含む鉄(II)及びニッケル(II)錯体の構造及び性質に関する研究
kn-title=Studies on Selective Synthesis and Coordination Abilities of Unsymmetrical Azines with Pyridyl, Imidazolyl, and Oxazolyl Substituents and Structures and Properties of Their Iron(II) and Nickel(II) Complexes
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=KENNEDY MAWUNYA HAYIBOR
en-aut-sei=KENNEDY MAWUNYA HAYIBOR
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
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dt-received=
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dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=非晶質炭素膜の成長プロセス,構造および物性に関するシミュレーション研究
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=YUEQIANG
en-aut-sei=YUE
en-aut-mei=QIANG
kn-aut-name=岳强
kn-aut-sei=岳
kn-aut-mei=强
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=蛍光ナノダイヤモンド中の窒素欠陥中心を用いた量子バイオセンシング
kn-title=Quantum biosensing with nitrogen vacancy centers in fluorescent nanodiamonds
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=OSHIMIKeisuke
en-aut-sei=OSHIMI
en-aut-mei=Keisuke
kn-aut-name=押味佳裕
kn-aut-sei=押味
kn-aut-mei=佳裕
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama university
kn-affil=岡山大学大学院自然科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
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dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=タンパク質付加体形成を介したメチルビニルケトンの成長因子シグナル伝達調節機構
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=MORIMOTOAtsushi
en-aut-sei=MORIMOTO
en-aut-mei=Atsushi
kn-aut-name=森本睦
kn-aut-sei=森本
kn-aut-mei=睦
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
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start-page=
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dt-received=
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dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Protein arginine methyltransferase 1のS-ニトロシル化を介したアルギニンジメチル化修飾抑制によるDDX3機能と転写への影響
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=TANIGUCHIRikako
en-aut-sei=TANIGUCHI
en-aut-mei=Rikako
kn-aut-name=谷口理香子
kn-aut-sei=谷口
kn-aut-mei=理香子
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=口腔内のグルコーストランスポーターからの糖シグナルがマウスの頭相インスリン分泌を誘発する
kn-title=Sugar signals from oral glucose transporters elicit cephalic-phase insulin release in mice
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=TAKAMORIMitsuhito
en-aut-sei=TAKAMORI
en-aut-mei=Mitsuhito
kn-aut-name=高盛充仁
kn-aut-sei=高盛
kn-aut-mei=充仁
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=マウスにおける鈍的胸部外傷後の肺挫傷に対する水素吸入療法
kn-title=Hydrogen inhalation attenuates lung contusion after blunt chest trauma in mice
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=AGETAKohei
en-aut-sei=AGETA
en-aut-mei=Kohei
kn-aut-name=上田浩平
kn-aut-sei=上田
kn-aut-mei=浩平
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=肺移植後早期移植肺機能不全に対する治療としての体内肺還流戦略
kn-title=In vivo lung perfusion for prompt recovery from primary graft dysfunction after lung transplantation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=MATSUBARAKei
en-aut-sei=MATSUBARA
en-aut-mei=Kei
kn-aut-name=松原慧
kn-aut-sei=松原
kn-aut-mei=慧
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=結合組織型肥満細胞はNoradrenalineを貯蔵、放出する
kn-title=Connective tissue mast cells store and release noradrenaline
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=OTANIYusuke
en-aut-sei=OTANI
en-aut-mei=Yusuke
kn-aut-name=大谷悠介
kn-aut-sei=大谷
kn-aut-mei=悠介
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=糖尿病における近位尿細管細胞リソソーム機能障害と、アミノ酸流入阻害による改善効果
kn-title=Inhibition of amino acids influx into proximal tubular cells improves lysosome function in diabetes
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=KANOYuzuki
en-aut-sei=KANO
en-aut-mei=Yuzuki
kn-aut-name=加納弓月
kn-aut-sei=加納
kn-aut-mei=弓月
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=マウス系統によって異なる耐寒性が系統別ES細胞においても存在する
kn-title=Mouse embryonic stem cells embody organismal-level cold resistance
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=SUITAKoukyou
en-aut-sei=SUITA
en-aut-mei=Koukyou
kn-aut-name=吹田晃享
kn-aut-sei=吹田
kn-aut-mei=晃享
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=岡山大学大学院医歯薬学総合研究科
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=4
article-no=
start-page=746
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240407
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Pyrene-Modified Cyclic Peptides Detect Cu2+ Ions by Fluorescence in Water
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The detection of metal ions is an option for maintaining water quality and diagnosing metal ion-related diseases. In this study, we successfully detected metal ions using fluorescent peptides in water. First, we prepared seven linear (L1-L7) and seven cyclic (C1-C7) peptides containing two pyrenyl (Pyr) units and assessed the response to various metal ions by fluorescence. The results indicated that C1, which contains a hexameric cyclic peptide moiety consisting of Pyr and Gly units, did not show a fluorescent response to metal ions, while the linear L1 corresponding to C1 showed a response to Cu2+, but its selectivity was found to be poor through a competition assay for each metal ion. We then assessed C2-C7 and L2-L7, in which Gly was replaced by His units at various positions in the same manner. The results showed that C2-C7 responded to Cu2+ in a manner dependent on the His position. Additionally, superior selectivity was observed in C7 through a competition assay. These results demonstrate that the structural restriction of peptides and the sequence affect the selective detection of Cu2+ and reveal that peptides with an appropriate structure can accomplish the fluorescent detection of Cu2+ specifically.
en-copyright=
kn-copyright=
en-aut-name=MaekawaYuhi
en-aut-sei=Maekawa
en-aut-mei=Yuhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SakuraSora
en-aut-sei=Sakura
en-aut-mei=Sora
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FurutaniYuji
en-aut-sei=Furutani
en-aut-mei=Yuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FujiharaRento
en-aut-sei=Fujihara
en-aut-mei=Rento
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=SugimeHisashi
en-aut-sei=Sugime
en-aut-mei=Hisashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=OhtsukiTakashi
en-aut-sei=Ohtsuki
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KitamatsuMizuki
en-aut-sei=Kitamatsu
en-aut-mei=Mizuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Department of Applied Chemistry, Faculty of Science and Engineering, Kindai University
kn-affil=
affil-num=2
en-affil=Department of Applied Chemistry, Faculty of Science and Engineering, Kindai University
kn-affil=
affil-num=3
en-affil=Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Applied Chemistry, Faculty of Science and Engineering, Kindai University
kn-affil=
affil-num=5
en-affil=Department of Applied Chemistry, Faculty of Science and Engineering, Kindai University
kn-affil=
affil-num=6
en-affil=Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Applied Chemistry, Faculty of Science and Engineering, Kindai University
kn-affil=
en-keyword=peptide
kn-keyword=peptide
en-keyword=pyrene
kn-keyword=pyrene
en-keyword=metal ion
kn-keyword=metal ion
en-keyword=fluorescence
kn-keyword=fluorescence
END
start-ver=1.4
cd-journal=joma
no-vol=174
cd-vols=
no-issue=5
article-no=
start-page=451
end-page=459
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230801
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Direct binding of calmodulin to the cytosolic C-terminal regions of sweet/umami taste receptors
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Sweet and umami taste receptors recognize chemicals such as sugars and amino acids on their extracellular side and transmit signals into the cytosol of the taste cell. In contrast to ligands that act on the extracellular side of these receptors, little is known regarding the molecules that regulate receptor functions within the cytosol. In this study, we analysed the interaction between sweet and umami taste receptors and calmodulin, a representative Ca2+-dependent cytosolic regulatory protein. High prediction scores for calmodulin binding were observed on the C-terminal cytosolic side of mouse taste receptor type 1 subunit 3 (T1r3), a subunit that is common to both sweet and umami taste receptors. Pull-down assay and surface plasmon resonance analyses showed different affinities of calmodulin to the C-terminal tails of distinct T1r subtypes. Furthermore, we found that T1r3 and T1r2 showed the highest and considerable binding to calmodulin, whereas T1r1 showed weaker binding affinity. Finally, the binding of calmodulin to T1rs was consistently higher in the presence of Ca2+ than in its absence. The results suggested a possibility of the Ca2+-dependent feedback regulation process of sweet and umami taste receptor signaling by calmodulin.
en-copyright=
kn-copyright=
en-aut-name=YoshidaAtsuki
en-aut-sei=Yoshida
en-aut-mei=Atsuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=ItoAyumi
en-aut-sei=Ito
en-aut-mei=Ayumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YasuiNorihisa
en-aut-sei=Yasui
en-aut-mei=Norihisa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=YamashitaAtsuko
en-aut-sei=Yamashita
en-aut-mei=Atsuko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=calmodulin
kn-keyword=calmodulin
en-keyword=cytosol
kn-keyword=cytosol
en-keyword=sweet taste
kn-keyword=sweet taste
en-keyword=taste receptor type 1
kn-keyword=taste receptor type 1
en-keyword=umami taste
kn-keyword=umami taste
END
start-ver=1.4
cd-journal=joma
no-vol=62
cd-vols=
no-issue=SJ
article-no=
start-page=SJ1002
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230125
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Reconfigurable waveguide based on valley topological phononic crystals with local symmetry inversion via continuous translation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We proposed a reconfigurable valley topological acoustic waveguide constructed using a 2D phononic crystal (PnC) with C3v symmetric arrangement of three rods in the unit cell. An interface between two types of PnCs with differently oriented unit cells exhibits high robustness of the valley transport of acoustic waves via the topologically protected state. Structural reconfiguration was introduced by the continuous translation of rod arrays in the PnCs. The topological phase transition in this translational change was quantitatively identified by the change in the Berry curvature. The translation of the rods leaves a dimer array at the interface, creating a localized/defective mode along the waveguide. Despite the presence of the localized mode, the acoustic wave can propagate along the reconfigurable waveguide the same as the original waveguide. The continuous translation of a rod array can be used to turn on and off the bandgap. This can be a new approach to design a robust acoustic device with a high reconfigurability.
en-copyright=
kn-copyright=
en-aut-name=AliMd. Shuzon
en-aut-sei=Ali
en-aut-mei=Md. Shuzon
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KataokaMotoki
en-aut-sei=Kataoka
en-aut-mei=Motoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MisawaMasaaki
en-aut-sei=Misawa
en-aut-mei=Masaaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TsurutaKenji
en-aut-sei=Tsuruta
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Electrical and Electronic Engineering, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Electrical and Electronic Engineering, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Electrical and Electronic Engineering, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Electrical and Electronic Engineering, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=52
cd-vols=
no-issue=10
article-no=
start-page=5825
end-page=5840
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240425
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The ABCF proteins in Escherichia coli individually cope with 'hard-to-translate' nascent peptide sequences
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Organisms possess a wide variety of proteins with diverse amino acid sequences, and their synthesis relies on the ribosome. Empirical observations have led to the misconception that ribosomes are robust protein factories, but in reality, they have several weaknesses. For instance, ribosomes stall during the translation of the proline-rich sequences, but the elongation factor EF-P assists in synthesizing proteins containing the poly-proline sequences. Thus, living organisms have evolved to expand the translation capability of ribosomes through the acquisition of translation elongation factors. In this study, we have revealed that Escherichia coli ATP-Binding Cassette family-F (ABCF) proteins, YheS, YbiT, EttA and Uup, individually cope with various problematic nascent peptide sequences within the exit tunnel. The correspondence between noncanonical translations and ABCFs was YheS for the translational arrest by nascent SecM, YbiT for poly-basic sequence-dependent stalling and poly-acidic sequence-dependent intrinsic ribosome destabilization (IRD), EttA for IRD at the early stage of elongation, and Uup for poly-proline-dependent stalling. Our results suggest that ATP hydrolysis-coupled structural rearrangement and the interdomain linker sequence are pivotal for handling 'hard-to-translate' nascent peptides. Our study highlights a new aspect of ABCF proteins to reduce the potential risks that are encoded within the nascent peptide sequences. Graphical Abstract
en-copyright=
kn-copyright=
en-aut-name=ChadaniYuhei
en-aut-sei=Chadani
en-aut-mei=Yuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YamanouchiShun
en-aut-sei=Yamanouchi
en-aut-mei=Shun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=UemuraEri
en-aut-sei=Uemura
en-aut-mei=Eri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=YamasakiKohei
en-aut-sei=Yamasaki
en-aut-mei=Kohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NiwaTatsuya
en-aut-sei=Niwa
en-aut-mei=Tatsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=IkedaToma
en-aut-sei=Ikeda
en-aut-mei=Toma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KuriharaMiku
en-aut-sei=Kurihara
en-aut-mei=Miku
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=IwasakiWataru
en-aut-sei=Iwasaki
en-aut-mei=Wataru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=TaguchiHideki
en-aut-sei=Taguchi
en-aut-mei=Hideki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Biological Sciences, Graduate School of Science, the University of Tokyo
kn-affil=
affil-num=3
en-affil=Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology
kn-affil=
affil-num=4
en-affil=Faculty of Science, Okayama University
kn-affil=
affil-num=5
en-affil=Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology
kn-affil=
affil-num=6
en-affil=School of Life Science and Technology, Tokyo Institute of Technology
kn-affil=
affil-num=7
en-affil=School of Life Science and Technology, Tokyo Institute of Technology
kn-affil=
affil-num=8
en-affil=Department of Biological Sciences, Graduate School of Science, the University of Tokyo
kn-affil=
affil-num=9
en-affil=Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=358
cd-vols=
no-issue=
article-no=
start-page=142060
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202406
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Size, polyglycerol grafting, and net surface charge of iron oxide nanoparticles determine their interaction and toxicity in Caenorhabditis elegans
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The widespread application of engineered nanoparticles (NPs) in environmental remediation has raised public concerns about their toxicity to aquatic organisms. Although appropriate surface modification can mitigate the ecotoxicity of NPs, the lack of polymer coating to inhibit toxicity completely and the insufficient knowledge about charge effect hinder the development of safe nanomaterials. Herein, we explored the potential of polyglycerol (PG) functionalization in alleviating the environmental risks of NPs. Iron oxide NPs (ION) of 20, 100, and 200 nm sizes (IONS, IONM and IONL, respectively) were grafted with PG to afford ION-PG. We examined the interaction of ION and ION-PG with Caenorhabditis elegans (C. elegans) and found that PG suppressed non-specific interaction of ION with C. elegans to reduce their accumulation and to inhibit their translocation. Particularly, IONS-PG was completely excluded from worms of all developmental stages. By covalently introducing sulfate, carboxyl and amino groups onto IONS-PG, we further demonstrated that positively charged IONS-PG-NH3+ induced high intestinal accumulation, cuticle adhesion and distal translocation, whereas the negatively charged IONS-PG-OSO3– and IONS-PG-COO– were excreted out. Consequently, no apparent deleterious effects on brood size and life span were observed in worms treated by IONS-PG and IONS-PG bearing negatively charged groups. This study presents new surface functionalization approaches for developing ecofriendly nanomaterials.
en-copyright=
kn-copyright=
en-aut-name=ZouYajuan
en-aut-sei=Zou
en-aut-mei=Yajuan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=ShikanoYutaka
en-aut-sei=Shikano
en-aut-mei=Yutaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NishinaYuta
en-aut-sei=Nishina
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KomatsuNaoki
en-aut-sei=Komatsu
en-aut-mei=Naoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=Kage-NakadaiEriko
en-aut-sei=Kage-Nakadai
en-aut-mei=Eriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=FujiwaraMasazumi
en-aut-sei=Fujiwara
en-aut-mei=Masazumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Institute of Systems and Information Engineering, University of Tsukuba
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Human and Environmental Studies, Kyoto University
kn-affil=
affil-num=5
en-affil=Department of Nutrition, Graduate School of Human Life and Ecology, Osaka Metropolitan University
kn-affil=
affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=iron oxide nanoparticles
kn-keyword=iron oxide nanoparticles
en-keyword=polyglycerol functionalization
kn-keyword=polyglycerol functionalization
en-keyword=C. elegans
kn-keyword=C. elegans
en-keyword=accumulation
kn-keyword=accumulation
en-keyword=distribution
kn-keyword=distribution
en-keyword=toxicity
kn-keyword=toxicity
END
start-ver=1.4
cd-journal=joma
no-vol=174
cd-vols=
no-issue=6
article-no=
start-page=533
end-page=548
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230919
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Phosphorylated SARM1 is involved in the pathological process of rotenone-induced neurodegeneration
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Sterile alpha and Toll/interleukin receptor motif-containing protein 1 (SARM1) is a NAD+ hydrolase that plays a key role in axonal degeneration and neuronal cell death. We reported that c-Jun N-terminal kinase (JNK) activates SARM1 through phosphorylation at Ser-548. The importance of SARM1 phosphorylation in the pathological process of Parkinson’s disease (PD) has not been determined. We thus conducted the present study by using rotenone (an inducer of PD-like pathology) and neurons derived from induced pluripotent stem cells (iPSCs) from healthy donors and a patient with familial PD PARK2 (FPD2). The results showed that compared to the healthy neurons, FPD2 neurons were more vulnerable to rotenone-induced stress and had higher levels of SARM1 phosphorylation. Similar cellular events were obtained when we used PARK2-knockdown neurons derived from healthy donor iPSCs. These events in both types of PD-model neurons were suppressed in neurons treated with JNK inhibitors, Ca2+-signal inhibitors, or by a SARM1-knockdown procedure. The degenerative events were enhanced in neurons overexpressing wild-type SARM1 and conversely suppressed in neurons overexpressing the SARM1-S548A mutant. We also detected elevated SARM1 phosphorylation in the midbrain of PD-model mice. The results indicate that phosphorylated SARM1 plays an important role in the pathological process of rotenone-induced neurodegeneration.
en-copyright=
kn-copyright=
en-aut-name=MurataHitoshi
en-aut-sei=Murata
en-aut-mei=Hitoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=PhooMay Tha Zin
en-aut-sei=Phoo
en-aut-mei=May Tha Zin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OchiToshiki
en-aut-sei=Ochi
en-aut-mei=Toshiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TomonobuNahoko
en-aut-sei=Tomonobu
en-aut-mei=Nahoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YamamotoKen-ichi
en-aut-sei=Yamamoto
en-aut-mei=Ken-ichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KinoshitaRie
en-aut-sei=Kinoshita
en-aut-mei=Rie
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=MiyazakiIkuko
en-aut-sei=Miyazaki
en-aut-mei=Ikuko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=NishiboriMasahiro
en-aut-sei=Nishibori
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=AsanumaMasato
en-aut-sei=Asanuma
en-aut-mei=Masato
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=SakaguchiMasakiyo
en-aut-sei=Sakaguchi
en-aut-mei=Masakiyo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Medical Neurobiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Translational Research and Drug Development, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Medical Neurobiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=JNK
kn-keyword=JNK
en-keyword=PARK2
kn-keyword=PARK2
en-keyword=Parkinson’sdisease
kn-keyword=Parkinson’sdisease
en-keyword=Phosphorylation
kn-keyword=Phosphorylation
en-keyword=SARM1
kn-keyword=SARM1
END
start-ver=1.4
cd-journal=joma
no-vol=59
cd-vols=
no-issue=17
article-no=
start-page=2425
end-page=2428
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=2023
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Non-enzymatic detection of glucose levels in human blood plasma by a graphene oxide-modified organic transistor sensor
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We herein report an organic transistor functionalized with a phenylboronic acid derivative and graphene oxide for the quantification of plasma glucose levels, which has been achieved by the minimization of interferent effects derived from physical protein adsorption on the detection electrode.
en-copyright=
kn-copyright=
en-aut-name=FanHaonan
en-aut-sei=Fan
en-aut-mei=Haonan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SasakiYui
en-aut-sei=Sasaki
en-aut-mei=Yui
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=ZhouQi
en-aut-sei=Zhou
en-aut-mei=Qi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TangWei
en-aut-sei=Tang
en-aut-mei=Wei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NishinaYuta
en-aut-sei=Nishina
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MinamiTsuyoshi
en-aut-sei=Minami
en-aut-mei=Tsuyoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Institute of Industrial Science, The University of Tokyo
kn-affil=
affil-num=2
en-affil=Institute of Industrial Science, The University of Tokyo
kn-affil=
affil-num=3
en-affil=Institute of Industrial Science, The University of Tokyo
kn-affil=
affil-num=4
en-affil=Institute of Industrial Science, The University of Tokyo
kn-affil=
affil-num=5
en-affil=Research Core for Interdisciplinary Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Institute of Industrial Science, The University of Tokyo
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=19
cd-vols=
no-issue=3
article-no=
start-page=e0300981
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240322
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Chemical range recognized by the ligand-binding domain in a representative amino acid-sensing taste receptor, T1r2a/T1r3, from medaka fish
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Taste receptor type 1 (T1r) proteins are responsible for recognizing nutrient chemicals in foods. In humans, T1r2/T1r3 and T1r1/T1r3 heterodimers serve as the sweet and umami receptors that recognize sugars or amino acids and nucleotides, respectively. T1rs are conserved among vertebrates, and T1r2a/T1r3 from medaka fish is currently the only member for which the structure of the ligand-binding domain (LBD) has been solved. T1r2a/T1r3 is an amino acid receptor that recognizes various l-amino acids in its LBD as observed with other T1rs exhibiting broad substrate specificities. Nevertheless, the range of chemicals that are recognized by T1r2a/T1r3LBD has not been extensively explored. In the present study, the binding of various chemicals to medaka T1r2a/T1r3LBD was analyzed. A binding assay for amino acid derivatives verified the specificity of this protein to l-alpha-amino acids and the importance of alpha-amino and carboxy groups for receptor recognition. The results further indicated the significance of the alpha-hydrogen for recognition as replacing it with a methyl group resulted in a substantially decreased affinity. The binding ability to the protein was not limited to proteinogenic amino acids, but also to non-proteinogenic amino acids, such as metabolic intermediates. Besides l-alpha-amino acids, no other chemicals showed significant binding to the protein. These results indicate that all of the common structural groups of alpha-amino acids and their geometry in the l-configuration are recognized by the protein, whereas a wide variety of alpha-substituents can be accommodated in the ligand binding sites of the LBDs.
en-copyright=
kn-copyright=
en-aut-name=IshidaHikaru
en-aut-sei=Ishida
en-aut-mei=Hikaru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YasuiNorihisa
en-aut-sei=Yasui
en-aut-mei=Norihisa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YamashitaAtsuko
en-aut-sei=Yamashita
en-aut-mei=Atsuko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=7
article-no=
start-page=2173
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240328
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Application of Throughput Request Satisfaction Method for Maximizing Concurrent Throughput in WLAN for IoT Application System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=With the wide applications of the Internet of Things (IoT) in smart home systems, IEEE 802.11n Wireless Local Area Networks (WLANs) have become a frequently chosen communication technology due to their adaptability and affordability. In a high-density network of devices such as the smart home scenerio, a host often meets interferences from other devices and unequal Received Signal Strength (RSS) from Access Points (APs). This results in throughput unfairness/insufficiency problems between hosts communicating concurrently in WLAN. Previously, we have studied the throughput request satisfaction method to address this problem. It calculates the target throughput from measured single and concurrent throughputs of hosts and controls the actual throughput at this target one by applying traffic shaping at the AP. However, the insufficiency problem of maximizing the throughput is not solved due to interferences from other hosts. In this paper, we present an extension of the throughput request satisfaction method to maximize the throughput of a high-priority host under concurrent communications. It recalculates the target throughput to increase the actual throughput as much as possible while the other hosts satisfy the least throughput. For evaluations, we conduct experiments using the test-bed system with Raspberry Pi as the AP devices in several topologies in indoor environments. The results confirm the effectiveness of our proposal.
en-copyright=
kn-copyright=
en-aut-name=WuBin
en-aut-sei=Wu
en-aut-mei=Bin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=RoySujan Chandra
en-aut-sei=Roy
en-aut-mei=Sujan Chandra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=RahmanMd. Mahbubur
en-aut-sei=Rahman
en-aut-mei=Md. Mahbubur
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KongDezheng
en-aut-sei=Kong
en-aut-mei=Dezheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=FangShihao
en-aut-sei=Fang
en-aut-mei=Shihao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Raspberry Pi
kn-keyword=Raspberry Pi
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=traffic shaping
kn-keyword=traffic shaping
en-keyword=access point
kn-keyword=access point
en-keyword=target throughput
kn-keyword=target throughput
en-keyword=throughput maximization
kn-keyword=throughput maximization
en-keyword=high-density IoT networks
kn-keyword=high-density IoT networks
END
start-ver=1.4
cd-journal=joma
no-vol=5
cd-vols=
no-issue=2
article-no=
start-page=182
end-page=194
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231208
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Inhibition of Amino Acids Influx into Proximal Tubular Cells Improves Lysosome Function in Diabetes
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background Inhibition of glucose influx into proximal tubular cells (PTCs) by sodium–glucose cotransporter 2 inhibitors revealed prominent therapeutic effects on diabetic kidney disease. Collectrin (CLTRN) serves as a chaperone for the trafficking of neutral amino acid (AA) transporters in the apical membranes of PTCs. We investigated the beneficial effects of reduced influx of AAs into PTCs in diabetes and obesity model of Cltrn−/y mice.
Methods Cltrn+/y and Cltrn−/y mice at age 5 weeks were assigned to standard diet and streptozotocin and high-fat diet (STZ-HFD)–treated groups.
Results At age 22–23 weeks, body weight and HbA1c levels significantly increased in STZ-HFD-Cltrn+/y compared with standard diet-Cltrn+/y; however, they were not altered in STZ-HFD-Cltrn−/y compared with STZ-HFD-Cltrn+/y. At age 20 weeks, urinary albumin creatinine ratio was significantly reduced in STZ-HFD-Cltrn−/y compared with STZ-HFD-Cltrn+/y. Under the treatments with STZ and HFD, the Cltrn gene deficiency caused significant increase in urinary concentration of AAs such as Gln, His, Gly, Thr, Tyr, Val, Trp, Phe, Ile, Leu, and Pro. In PTCs in STZ-HFD-Cltrn+/y, the enlarged lysosomes with diameter of 10 μm or more were associated with reduced autolysosomes, and the formation of giant lysosomes was prominently suppressed in STZ-HFD-Cltrn−/y. Phospho-mTOR and inactive form of phospho-transcription factor EB were reduced in STZ-HFD-Cltrn−/y compared with STZ-HFD-Cltrn+/y.
Conclusions The reduction of AAs influx into PTCs inactivated mTOR, activated transcription factor EB, improved lysosome function, and ameliorated vacuolar formation of PTCs in STZ-HFD-Cltrn−/y mice.
en-copyright=
kn-copyright=
en-aut-name=KanoYuzuki
en-aut-sei=Kano
en-aut-mei=Yuzuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YamaguchiSatoshi
en-aut-sei=Yamaguchi
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MiseKoki
en-aut-sei=Mise
en-aut-mei=Koki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KawakitaChieko
en-aut-sei=Kawakita
en-aut-mei=Chieko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=OnishiYasuhiro
en-aut-sei=Onishi
en-aut-mei=Yasuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KurookaNaoko
en-aut-sei=Kurooka
en-aut-mei=Naoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=SugawaraRyosuke
en-aut-sei=Sugawara
en-aut-mei=Ryosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=AlbuayjanHaya Hamed Hassan
en-aut-sei=Albuayjan
en-aut-mei=Haya Hamed Hassan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=NakatsukaAtsuko
en-aut-sei=Nakatsuka
en-aut-mei=Atsuko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=EguchiJun
en-aut-sei=Eguchi
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=WadaJun
en-aut-sei=Wada
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
affil-num=1
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=10
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=11
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=diabetes mellitus
kn-keyword=diabetes mellitus
en-keyword=diabetic nephropathy
kn-keyword=diabetic nephropathy
en-keyword=metabolism
kn-keyword=metabolism
en-keyword=obesity
kn-keyword=obesity
en-keyword=tubular epithelium
kn-keyword=tubular epithelium
END
start-ver=1.4
cd-journal=joma
no-vol=154
cd-vols=
no-issue=3
article-no=
start-page=209
end-page=217
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202403
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Attenuation of protein arginine dimethylation via S-nitrosylation of protein arginine methyltransferase 1
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Upregulation of nitric oxide (NO) production contributes to the pathogenesis of numerous diseases via S-nitro- sylation, a post-translational modification of proteins. This process occurs due to the oxidative reaction between NO and a cysteine thiol group; however, the extent of this reaction remains unknown. S-Nitrosylation of PRMT1, a major asymmetric arginine methyltransferase of histones and numerous RNA metabolic proteins, was induced by NO donor treatment. We found that nitrosative stress leads to S-nitrosylation of cysteine 119, located near the active site, and attenuates the enzymatic activity of PRMT1. Interestingly, RNA sequencing analysis revealed similarities in the changes in expression elicited by NO and PRMT1 inhibitors or knockdown. A comprehensive search for PRMT1 substrates using the proximity-dependent biotin identification method highlighted many known and new substrates, including RNA-metabolizing enzymes. To validate this result, we selected the RNA helicase DDX3 and demonstrated that arginine methylation of DDX3 is induced by PRMT1 and attenuated by NO treatment. Our results suggest the existence of a novel regulatory system associated with transcription and RNA metabolism via protein S-nitrosylation.
en-copyright=
kn-copyright=
en-aut-name=TaniguchiRikako
en-aut-sei=Taniguchi
en-aut-mei=Rikako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MoriyaYuto
en-aut-sei=Moriya
en-aut-mei=Yuto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=DohmaeNaoshi
en-aut-sei=Dohmae
en-aut-mei=Naoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=SuzukiTakehiro
en-aut-sei=Suzuki
en-aut-mei=Takehiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=NakaharaKengo
en-aut-sei=Nakahara
en-aut-mei=Kengo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KubotaSho
en-aut-sei=Kubota
en-aut-mei=Sho
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=TakasugiNobumasa
en-aut-sei=Takasugi
en-aut-mei=Nobumasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=UeharaTakashi
en-aut-sei=Uehara
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
affil-num=1
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Biomolecular Characterization Unit, Technology Platform Division, RIKEN Center for Sustainable Resource Science
kn-affil=
affil-num=4
en-affil=Biomolecular Characterization Unit, Technology Platform Division, RIKEN Center for Sustainable Resource Science
kn-affil=
affil-num=5
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Nitric oxide
kn-keyword=Nitric oxide
en-keyword=S-Nitrosylation
kn-keyword=S-Nitrosylation
en-keyword=Protein arginine methyltransferase 1 (PRMT1)
kn-keyword=Protein arginine methyltransferase 1 (PRMT1)
en-keyword=RNA metabolism
kn-keyword=RNA metabolism
en-keyword=Dead-box helicase 3X-linxed (DDX3)
kn-keyword=Dead-box helicase 3X-linxed (DDX3)
END
start-ver=1.4
cd-journal=joma
no-vol=7
cd-vols=
no-issue=1
article-no=
start-page=273
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240312
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The eukaryotic-like characteristics of small GTPase, roadblock and TRAPPC3 proteins from Asgard archaea
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Membrane-enclosed organelles are defining features of eukaryotes in distinguishing these organisms from prokaryotes. Specification of distinct membranes is critical to assemble and maintain discrete compartments. Small GTPases and their regulators are the signaling molecules that drive membrane-modifying machineries to the desired location. These signaling molecules include Rab and Rag GTPases, roadblock and longin domain proteins, and TRAPPC3-like proteins. Here, we take a structural approach to assess the relatedness of these eukaryotic-like proteins in Asgard archaea, the closest known prokaryotic relatives to eukaryotes. We find that the Asgard archaea GTPase core domains closely resemble eukaryotic Rabs and Rags. Asgard archaea roadblock, longin and TRAPPC3 domain-containing proteins form dimers similar to those found in the eukaryotic TRAPP and Ragulator complexes. We conclude that the emergence of these protein architectures predated eukaryogenesis, however further adaptations occurred in proto-eukaryotes to allow these proteins to regulate distinct internal membranes.
en-copyright=
kn-copyright=
en-aut-name=TranLinh T.
en-aut-sei=Tran
en-aut-mei=Linh T.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=AkilCaner
en-aut-sei=Akil
en-aut-mei=Caner
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=SenjuYosuke
en-aut-sei=Senju
en-aut-mei=Yosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=RobinsonRobert C.
en-aut-sei=Robinson
en-aut-mei=Robert C.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
affil-num=2
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
affil-num=3
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
affil-num=4
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=3
article-no=
start-page=95
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240228
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Microchannel Device for Droplet Classification by Manipulation Using Piezoelectric Vibrator
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Emulsion formulations should be monodispersed in terms of their stability. Therefore, there is a need for a device that can classify droplets of the desired size from polydispersed emulsions in a fluidized bed manufacturing system. In the previous study, we evaluated the fabrication of a droplet manipulation device using acoustic radiation forces through simulation using the finite element method. In this study, particle manipulation experiments using 1, 6, and 10 mu m polystyrene particles were first estimated and evaluated in comparison with their theoretical particle behavior. Based on the results we obtained, the driving conditions and droplet behavior were derived, and the droplet manipulation device using ultrasonic waves to shrink monodisperse emulsions was evaluated. As a result, the droplet classification effect in the microchannel was confirmed to be consistent with the droplet behavior prediction, and the microchannel structure with a constriction component improved its classification effect.
en-copyright=
kn-copyright=
en-aut-name=FujiokaAo
en-aut-sei=Fujioka
en-aut-mei=Ao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SeoShoko
en-aut-sei=Seo
en-aut-mei=Shoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KandaTakefumi
en-aut-sei=Kanda
en-aut-mei=Takefumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=WakimotoShuichi
en-aut-sei=Wakimoto
en-aut-mei=Shuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YamaguchiDaisuke
en-aut-sei=Yamaguchi
en-aut-mei=Daisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=piezoelectric element
kn-keyword=piezoelectric element
en-keyword=microchannel
kn-keyword=microchannel
en-keyword=particle manipulation
kn-keyword=particle manipulation
en-keyword=emulsion
kn-keyword=emulsion
en-keyword=droplet
kn-keyword=droplet
END
start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=3
article-no=
start-page=153
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240309
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In this paper, we have developed the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform for fast deployments of IoT application systems. It provides various integration capabilities for the collection, display, and analysis of sensor data on a single platform. Recently, Artificial Intelligence (AI) has become very popular and widely used in various applications including IoT. To support this growth, the integration of AI into SEMAR is essential to enhance its capabilities after identifying the current trends of applicable AI technologies in IoT applications. In this paper, we first provide a comprehensive review of IoT applications using AI techniques in the literature. They cover predictive analytics, image classification, object detection, text spotting, auditory perception, Natural Language Processing (NLP), and collaborative AI. Next, we identify the characteristics of each technique by considering the key parameters, such as software requirements, input/output (I/O) data types, processing methods, and computations. Third, we design the integration of AI techniques into SEMAR based on the findings. Finally, we discuss use cases of SEMAR for IoT applications with AI techniques. The implementation of the proposed design in SEMAR and its use to IoT applications will be in future works.
en-copyright=
kn-copyright=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FajriantiEvianita Dewi
en-aut-sei=Fajrianti
en-aut-mei=Evianita Dewi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FangShihao
en-aut-sei=Fang
en-aut-mei=Shihao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword=AI
kn-keyword=AI
en-keyword=integration
kn-keyword=integration
en-keyword=survey
kn-keyword=survey
en-keyword=application server platform
kn-keyword=application server platform
en-keyword=SEMAR
kn-keyword=SEMAR
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=3862
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240216
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=There is little consensus among global climate models (CGMs) regarding the response of lightning flash rates to past and future climate change, largely due to graupel not being included in models. Here a two-moment prognostic graupel scheme was incorporated into the MIROC6 GCM and applied in three experiments involving pre-industrial aerosol, present-day, and future warming simulations. The new microphysics scheme performed well in reproducing global distributions of graupel, convective available potential energy, and lightning flash rate against satellite retrievals and reanalysis datasets. The global mean lightning rate increased by 7.1% from the pre-industrial period to the present day, which was attributed to increased graupel occurrence. The impact of future warming on lightning activity was more evident, with the rate increasing by 18.4%K-1 through synergistic contributions of destabilization and increased graupel. In the Arctic, the lightning rate depends strongly on the seasonality of graupel, emphasizing the need to incorporate graupel into GCMs for more accurate climate prediction.
en-copyright=
kn-copyright=
en-aut-name=MichibataTakuro
en-aut-sei=Michibata
en-aut-mei=Takuro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Department of Earth Science, Okayama University
kn-affil=
en-keyword=Climate model
kn-keyword=Climate model
en-keyword=Graupel
kn-keyword=Graupel
en-keyword=Lightning
kn-keyword=Lightning
en-keyword=Global warming
kn-keyword=Global warming
en-keyword=Arctic climate
kn-keyword=Arctic climate
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=28201
end-page=28211
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240212
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=WLAN Channel Status Duration Prediction for Audio and Video Services Using Probabilistic Neural Networks
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Due to massive increase in wireless access from smartphones, IoT devices, WLAN is aiming to improve its spectrum efficiency (SE) using many technologies. Some interesting techniques for WLAN systems are flexible allocation of frequency resource and cognitive radio (CR) techniques which expect to find more useful spectrum resource by modeling and then predicting of channel status using the captured statistics information of the used spectrum. This paper investigates the prediction accuracy of busy/idle duration of two major wireless services: audio service and video service using neural network based predictor. We first study the statistics distribution of their time-series busy/idle (B/I) duration, and then analyze the predictability of the busy/idle duration based on the predictability theory. Then, we propose a data categorization (DC) method which categorizes the duration of recent B/I duration according the their ranges to make the duration of next data be distributed into several streams. From the predictability analysis of each stream and the prediction performance using the probabilistic neural network (PNN), it can be confirmed that the proposed DC can improve the prediction accuracy of time-series data in partial streams.
en-copyright=
kn-copyright=
en-aut-name=HouYafei
en-aut-sei=Hou
en-aut-mei=Yafei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=DennoSatoshi
en-aut-sei=Denno
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Wireless LAN
kn-keyword=Wireless LAN
en-keyword=Wireless communication
kn-keyword=Wireless communication
en-keyword=Media streaming
kn-keyword=Media streaming
en-keyword=Wireless sensor networks
kn-keyword=Wireless sensor networks
en-keyword=Resource management
kn-keyword=Resource management
en-keyword=Probability distribution
kn-keyword=Probability distribution
en-keyword=Channel allocation
kn-keyword=Channel allocation
en-keyword=Audio-visual systems
kn-keyword=Audio-visual systems
en-keyword=Data processing
kn-keyword=Data processing
en-keyword=Predictive models
kn-keyword=Predictive models
en-keyword=Neural networks
kn-keyword=Neural networks
en-keyword=Channel status duration prediction
kn-keyword=Channel status duration prediction
en-keyword=WLAN audio/video traffic
kn-keyword=WLAN audio/video traffic
en-keyword=data predictability analysis
kn-keyword=data predictability analysis
en-keyword=probabilistic neural network (PNN)
kn-keyword=probabilistic neural network (PNN)
END
start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=4
article-no=
start-page=1161
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240209
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Enhancement of Outdoor Location-Based Augmented Reality Anchor Precision through VSLAM and Google Street View
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Outdoor Location-Based Augmented Reality (LAR) applications require precise positioning for seamless integrations of virtual content into immersive experiences. However, common solutions in outdoor LAR applications rely on traditional smartphone sensor fusion methods, such as the Global Positioning System (GPS) and compasses, which often lack the accuracy needed for precise AR content alignments. In this paper, we introduce an innovative approach to enhance LAR anchor precision in outdoor environments. We leveraged Visual Simultaneous Localization and Mapping (VSLAM) technology, in combination with innovative cloud-based methodologies, and harnessed the extensive visual reference database of Google Street View (GSV), to address the accuracy limitation problems. For the evaluation, 10 Point of Interest (POI) locations were used as anchor point coordinates in the experiments. We compared the accuracies between our approach and the common sensor fusion LAR solution comprehensively involving accuracy benchmarking and running load performance testing. The results demonstrate substantial enhancements in overall positioning accuracies compared to conventional GPS-based approaches for aligning AR anchor content in the real world.
en-copyright=
kn-copyright=
en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FajriantiEvianita Dewi
en-aut-sei=Fajrianti
en-aut-mei=Evianita Dewi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=location-based
kn-keyword=location-based
en-keyword=augmented reality
kn-keyword=augmented reality
en-keyword=SLAM
kn-keyword=SLAM
en-keyword=cloud-based matching
kn-keyword=cloud-based matching
en-keyword=Android
kn-keyword=Android
END
start-ver=1.4
cd-journal=joma
no-vol=4
cd-vols=
no-issue=2
article-no=
start-page=274
end-page=296
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230403
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Study of the Active Access-Point Configuration Algorithm under Channel Bonding to Dual IEEE 802.11n and 11ac Interfaces in an Elastic WLAN System for IoT Applications
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Currently, Internet of Things (IoT) has become common in various applications, including smart factories, smart cities, and smart homes. In them, wireless local-area networks (WLANs) are widely used due to their high-speed data transfer, flexible coverage ranges, and low costs. To enhance the performance, the WLAN configuration should be optimized in dense WLAN environments where multiple access points (APs) and hosts exist. Previously, we have studied the active AP configuration algorithm for dual interfaces using IEEE802.11n and 11ac protocols at each AP under non-channel bonding (non-CB). In this paper, we study the algorithm considering the channel bonding (CB) to enhance its capacity by bonding two channels together. To improve the throughput estimation accuracy of the algorithm, the reduction factor is introduced at contending hosts for the same AP. For evaluations, we conducted extensive experiments using the WIMENT simulator and the testbed system using Raspberry Pi 4B APs. The results show that the estimated throughput is well matched with the measured one, and the proposal achieves the higher throughput with a smaller number of active APs than the previous configurations.
en-copyright=
kn-copyright=
en-aut-name=RoySujan Chandra
en-aut-sei=Roy
en-aut-mei=Sujan Chandra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=RahmanMd. Mahbubur
en-aut-sei=Rahman
en-aut-mei=Md. Mahbubur
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=WuBin
en-aut-sei=Wu
en-aut-mei=Bin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Department Electrical and Electronic Engineering, Jatiya Kabi Kazi Nazrul Islam University
kn-affil=
affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=access-points configuration
kn-keyword=access-points configuration
en-keyword=dual interface
kn-keyword=dual interface
en-keyword=channel bonding
kn-keyword=channel bonding
en-keyword=WIMNET
kn-keyword=WIMNET
en-keyword=Raspberry Pi 4B
kn-keyword=Raspberry Pi 4B
en-keyword=IEEE802.11n
kn-keyword=IEEE802.11n
en-keyword=11ac
kn-keyword=11ac
END
start-ver=1.4
cd-journal=joma
no-vol=19
cd-vols=
no-issue=1
article-no=
start-page=23-00531
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Radiative energy transfer via surface plasmon polaritons around metal–insulator grating: For better understanding of magnetic polariton
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A conventional metal–insulator nanograting has the potential to transmit near-infrared thermal radiation because an electromagnetic wave is resonated in the grating structure. Surface plasmon polaritons (SPPs) take place at the interface between the metal and the insulator with boundaries at both ends. Physicists formulated the resonance frequency of the grating from the Fabry–Pérot interference between the grating thickness and the wavelength of SPPs in a short-range coupled mode. On the other hand, engineering researchers often use a lumped-element model assuming a resonant circuit consisting of an inductance of metal and a capacitance of metal-insulator-metal grating structure. Furthermore, they have considered that the resonant circuit excites a strong magnetic field independent of SPPs. This study compares each physical model and numerical simulation results, then clearly shows that all resonance frequencies and features of the circuit resonance can be described by the Fabry–Pérot interference of the SPPs in short-range coupled mode. Moreover, the estimated resonance frequencies obviously correspond to the local maxima of the transmittance of the nanograting with the various thicknesses and pitches. In this case, a strong magnetic field can be observed in the insulator layer as if it might be an isolated magnetic quantum. However, since materials show no magnetism at near-infrared frequencies, the magnetic response appears due to the contribution of SPPs.
en-copyright=
kn-copyright=
en-aut-name=ISOBEKazuma
en-aut-sei=ISOBE
en-aut-mei=Kazuma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YAMADAYutaka
en-aut-sei=YAMADA
en-aut-mei=Yutaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HORIBEAkihiko
en-aut-sei=HORIBE
en-aut-mei=Akihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HANAMURAKatsunori
en-aut-sei=HANAMURA
en-aut-mei=Katsunori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Advanced Mechanics, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Advanced Mechanics, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Advanced Mechanics, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
affil-num=4
en-affil=School of Engineering, Department of Mechanical Engineering, Tokyo Institute of Technology
kn-affil=
en-keyword=Surface plasmon polariton
kn-keyword=Surface plasmon polariton
en-keyword=Circuit resonance
kn-keyword=Circuit resonance
en-keyword=Magnetic polariton
kn-keyword=Magnetic polariton
en-keyword=Lumped-element model
kn-keyword=Lumped-element model
en-keyword=Fabry–Pérot interference
kn-keyword=Fabry–Pérot interference
END
start-ver=1.4
cd-journal=joma
no-vol=18
cd-vols=
no-issue=1
article-no=
start-page=14
end-page=21
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Efficient agricultural monitoring: a methodology for assessing individual farmer adherence to rice-planting schedule for tertiary irrigation system under the Muda Irrigation Scheme using Earth observation datasets
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The tertiary irrigation system (TIS) was designed for the Muda Irrigation Scheme (MIS) to distribute irrigation water to farmers' fields to ensure the reliability of water supply for cultivating rice paddies twice a year. Variability in farming practices, influenced by farmer autonomy along the tertiary canal adds complexity and uncertainty to adherence monitoring. Traditional on -site data collection methods are limited in scope and efficiency, whereas Earth observation (EO) enables continuous monitoring. In this study, we introduced a methodology that uses EO datasets to monitor individual field adherence to rice -planting schedules under TIS. These tools improve the monitoring of rice -planting schedule adherence by identifying non -adherent fields for further countermeasures. This study highlights the potential use of EO datasets and advanced data processing techniques for efficient agricultural monitoring.
en-copyright=
kn-copyright=
en-aut-name=ZahirAliya Mhd
en-aut-sei=Zahir
en-aut-mei=Aliya Mhd
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SomuraHiroaki
en-aut-sei=Somura
en-aut-mei=Hiroaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MoroizumiToshitsugu
en-aut-sei=Moroizumi
en-aut-mei=Toshitsugu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=Google Earth Engine
kn-keyword=Google Earth Engine
en-keyword=agricultural practices
kn-keyword=agricultural practices
en-keyword=irrigation
kn-keyword=irrigation
en-keyword=remote sensing
kn-keyword=remote sensing
en-keyword=Sentinel-1
kn-keyword=Sentinel-1
END
start-ver=1.4
cd-journal=joma
no-vol=18
cd-vols=
no-issue=11
article-no=
start-page=e0295078
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231128
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Association between oral condition and subjective psychological well-being among older adults attending a university hospital dental clinic: A cross-sectional study
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Positive psychological well-being has a favorable impact on survival rates in both healthy and unhealthy populations. Oral health is also associated with psychological well-being, is multidimensional in nature, and includes physical, psychological, emotional, and social domains that are integral to overall health and well-being. This study aimed to identify the associations between individual and environmental characteristics, oral condition and nutritional status in relation to subjective well-being among older adults using the Wilson and Cleary conceptual model. The participants were older adults (age >= 60 years) attending a university hospital. Subjective well-being was assessed using the World Health Organization-5 Well-Being Index, oral condition was assessed based on the number of bacteria in the tongue coating, oral wettability, tongue pressure, occlusal force, oral diadochokinesis, and masticatory ability, and subjective swallowing function was assessed using the Eating Assessment Tool, number of remaining teeth, and number of functional teeth. In addition, factors related to well-being, including social networks, life-space mobility, nutritional status, smoking history, drinking history, and medical history were assessed. In the analysis, structural equation modeling was used to investigate the association between oral condition and subjective well-being. Confirmatory factor analysis revealed oral condition as a latent variable, including tongue pressure, oral diadochokinesis /pa/, /ta/, /ka/, occlusal force, masticatory ability, subjective swallowing function, and number of functional teeth. Structural Equation Modeling revealed that oral condition was positively correlated with nutritional status, and nutritional status was positively correlated with the World Health Organization-5 Well-Being Index. These findings suggest that oral condition may influence subjective well-being via nutritional status or social environmental factors.
en-copyright=
kn-copyright=
en-aut-name=TakeuchiNoriko
en-aut-sei=Takeuchi
en-aut-mei=Noriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SawadaNanami
en-aut-sei=Sawada
en-aut-mei=Nanami
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=EkuniDaisuke
en-aut-sei=Ekuni
en-aut-mei=Daisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MoritaManabu
en-aut-sei=Morita
en-aut-mei=Manabu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Preventive Dentistry, Okayama University Hospital
kn-affil=
affil-num=2
en-affil=Department of Preventive Dentistry, Okayama University Hospital
kn-affil=
affil-num=3
en-affil=Department of Preventive Dentistry, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Oral Health, Takarazuka University of Medical and Health Care
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=31
cd-vols=
no-issue=
article-no=
start-page=1
end-page=69
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240331
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Annual report / Institute of Plant Science and Resources, Okayama University
kn-title=岡山大学資源植物科学研究所報告
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=Institute of Plant Science and Resources, Okayama University
en-aut-sei=Institute of Plant Science and Resources, Okayama University
en-aut-mei=
kn-aut-name=岡山大学資源植物科学研究所
kn-aut-sei=岡山大学資源植物科学研究所
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=299
cd-vols=
no-issue=8
article-no=
start-page=105020
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=202308
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Mammalian type opsin 5 preferentially activates G14 in Gq-type G proteins triggering intracellular calcium response
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Mammalian type opsin 5 (Opn5m), a UV-sensitive G protein-coupled receptor opsin highly conserved in vertebrates, would provide a common basis for UV sensing from lamprey to humans. However, G protein coupled with Opn5m remains controversial due to variations in assay conditions and the origin of Opn5m across different reports. Here, we examined Opn5m from diverse species using an aequorin luminescence assay and G alpha-KO cell line. Beyond the commonly studied major G alpha classes, G alpha q, G alpha 11, G alpha 14, and G alpha 15 in the Gq class were individually investigated in this study, as they can drive distinct signaling pathways in addition to a canonical calcium response. UV light triggered a calcium response via all the tested Opn5m proteins in 293T cells, which was abolished by Gq-type G alpha deletion and rescued by cotransfection with mouse and medaka Gq-type G alpha proteins. Opn5m preferentially activated G alpha 14 and close relatives. Mutational analysis implicated specific regions, including alpha 3-beta 5 and alpha G-alpha 4 loops, alpha G and alpha 4 helices, and the extreme C terminus, in the preferential activation of G alpha 14 by Opn5m. FISH revealed co-expression of genes encoding Opn5m and G alpha 14 in the scleral cartilage of medaka and chicken eyes, supporting their physiological coupling. This suggests that the preferential activation of G alpha 14 by Opn5m is relevant for UV sensing in specific cell types.
en-copyright=
kn-copyright=
en-aut-name=SatoKeita
en-aut-sei=Sato
en-aut-mei=Keita
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YamashitaTakahiro
en-aut-sei=Yamashita
en-aut-mei=Takahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OhuchiHideyo
en-aut-sei=Ohuchi
en-aut-mei=Hideyo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Cytology and Histology, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Biophysics, Graduate School of Science, Kyoto University
kn-affil=
affil-num=3
en-affil=Department of Cytology and Histology, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=G protein
kn-keyword=G protein
en-keyword=G protein−coupled receptor (GPCR)
kn-keyword=G protein−coupled receptor (GPCR)
en-keyword=photoreceptor
kn-keyword=photoreceptor
en-keyword=rhodopsin
kn-keyword=rhodopsin
en-keyword=calcium intracellular release
kn-keyword=calcium intracellular release
en-keyword=protein−protein interaction
kn-keyword=protein−protein interaction
en-keyword=signal transduction
kn-keyword=signal transduction
en-keyword=nonvisual photoreception
kn-keyword=nonvisual photoreception
END
start-ver=1.4
cd-journal=joma
no-vol=78
cd-vols=
no-issue=1
article-no=
start-page=79
end-page=83
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202402
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Utility of Combined Use of Transabdominal Ultrasonography and Fecal Immunochemical Test Examinations in Ulcerative Colitis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=This study examined the utility of the combined use of transabdominal ultrasonography (TUS) and fecal immunochemical testing (FIT) to detect mucosal inflammation, vis-a-vis the Mayo endoscopic subscore (MES), in ulcerative colitis (UC). Sixty-three UC patients who underwent TUS and FIT were retrospectively enrolled. For TUS, the colon was divided into five segments, and the bowel wall thickness was measured and evaluated. The accuracy of FIT (> 100 ng/ml) in detecting mucosal inflammation (MES>0) was 0.93, whereas that of TUS (BWT>2 mm) in each segment was 0.84-0.97. The combined use of TUS and FIT may be helpful in noninvasive treatment strategies.
en-copyright=
kn-copyright=
en-aut-name=TakaharaMasahiro
en-aut-sei=Takahara
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HiraokaSakiko
en-aut-sei=Hiraoka
en-aut-mei=Sakiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OhmoriMasayasu
en-aut-sei=Ohmori
en-aut-mei=Masayasu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TakeuchiKeiko
en-aut-sei=Takeuchi
en-aut-mei=Keiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TakeiKensuke
en-aut-sei=Takei
en-aut-mei=Kensuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=AoyamaYuki
en-aut-sei=Aoyama
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=YasutomiEriko
en-aut-sei=Yasutomi
en-aut-mei=Eriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=IgawaShoko
en-aut-sei=Igawa
en-aut-mei=Shoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=InokuchiToshihiro
en-aut-sei=Inokuchi
en-aut-mei=Toshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=ToyosawaJunki
en-aut-sei=Toyosawa
en-aut-mei=Junki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=YamasakiYasushi
en-aut-sei=Yamasaki
en-aut-mei=Yasushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=KinugasaHideaki
en-aut-sei=Kinugasa
en-aut-mei=Hideaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=HaradaKeita
en-aut-sei=Harada
en-aut-mei=Keita
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=OnishiHideki
en-aut-sei=Onishi
en-aut-mei=Hideki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=OkadaHiroyuki
en-aut-sei=Okada
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
affil-num=1
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=11
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=12
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=13
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=14
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=15
en-affil=Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=transabdominal ultrasonography
kn-keyword=transabdominal ultrasonography
en-keyword=fecal immunochemical test
kn-keyword=fecal immunochemical test
en-keyword=ulcerative colitis
kn-keyword=ulcerative colitis
en-keyword=Mayo endoscopic subscore
kn-keyword=Mayo endoscopic subscore
END
start-ver=1.4
cd-journal=joma
no-vol=78
cd-vols=
no-issue=1
article-no=
start-page=53
end-page=61
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=202402
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Quantitative Assessment of the Heat Transfer Capacity of Ice Bags and their Cooling Effects on the Skin Surface and Core Temperature
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Ice bags are frequently used in medical care settings for pain relief, comfort, and in some cases, whole-body cooling. This study quantifies heat energy transfer capacity of ice bags and evaluates their cooling effects on body temperature. Forty-eight healthy adults in their 20s were recruited. An ice bag wrapped in two layers of dry towel was applied to the forehead, neck, or palm of each participant for 10 min. The skin surface temperature, heat flow, and core temperature were recorded during the cooling and non-cooling periods, with energy transfer calculated by integrating heat flow over time. Over the non-cooling period, 31.4-53.6 kJ·m-2 of energy was dissipated over 10 min, whereas during the cooling period, the range increased to 180.0-218.7 kJ·m-2 over 10 min. Skin surface temperature decreased by 3.2-5.7°C, whereas core temperature was unchanged. Ice bag use augmented energy transfer by about 150-180 kJ·m-2 over 10 min, but this was insufficient for rapid whole body cooling due to the small skin-surface area in contact with the ice bag. The measured energy transfer indicated that topical ice bag application absorbs insufficient energy to affect core temperature. Quantitative assessment of energy transfer was shown to inform the safe and appropriate use of thermotherapy.
en-copyright=
kn-copyright=
en-aut-name=IchikawaYukiko
en-aut-sei=Ichikawa
en-aut-mei=Yukiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=OginoTetsuya
en-aut-sei=Ogino
en-aut-mei=Tetsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Department of Nursing Science, Faculty of Health and Welfare Science, Okayama Prefectural University
kn-affil=
affil-num=2
en-affil=Department of Nursing Science, Faculty of Health and Welfare Science, Okayama Prefectural University
kn-affil=
en-keyword=cold compress
kn-keyword=cold compress
en-keyword=fever
kn-keyword=fever
en-keyword=hyperthermia
kn-keyword=hyperthermia
en-keyword=thermal conductivity
kn-keyword=thermal conductivity
en-keyword=thermoregulation
kn-keyword=thermoregulation
END
start-ver=1.4
cd-journal=joma
no-vol=49
cd-vols=
no-issue=2
article-no=
start-page=55
end-page=60
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=2024
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Methylmercury-induced brain neuronal death in CHOP-knockout mice
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Apoptosis is one of the hallmarks of MeHg-induced neuronal cell death; however, its molecular mechanism remains unclear. We previously reported that MeHg exposure induces neuron-specific ER stress in the mouse brain. Excessive ER stress contributes to apoptosis, and CHOP induction is considered to be one of the major mechanisms. CHOP is also increased by MeHg exposure in the mouse brain, suggesting that it correlates with increased apoptosis. In this study, to clarify whether CHOP mediates MeHg-induced apoptosis, we examined the effect of CHOP deletion on MeHg exposure in CHOP-knockout mice. Our data showed that CHOP deletion had no effect on MeHg exposure-induced weight loss or hindlimb impairment in mice, nor did it increase apoptosis or inhibit neuronal cell loss. Hence, CHOP plays little role in MeHg toxicity, and other apoptotic pathways coupled with ER stress may be involved in MeHg-induced cell death.
en-copyright=
kn-copyright=
en-aut-name=IijimaYuta
en-aut-sei=Iijima
en-aut-mei=Yuta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MikiRyohei
en-aut-sei=Miki
en-aut-mei=Ryohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FujimuraMasatake
en-aut-sei=Fujimura
en-aut-mei=Masatake
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=OyadomariSeiichi
en-aut-sei=Oyadomari
en-aut-mei=Seiichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=UeharaTakashi
en-aut-sei=Uehara
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Basic Medical Science, National Institute for Minamata Disease
kn-affil=
affil-num=4
en-affil=Division of Molecular Biology, Institute of Advanced Medical Sciences, Tokushima University
kn-affil=
affil-num=5
en-affil=Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Methylmercury
kn-keyword=Methylmercury
en-keyword=Neuronal cell death
kn-keyword=Neuronal cell death
en-keyword=Apoptosis
kn-keyword=Apoptosis
en-keyword=CHOP
kn-keyword=CHOP
en-keyword=Knockout mouse
kn-keyword=Knockout mouse
END
start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=2
article-no=
start-page=281
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240116
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A System for Monitoring Animals Based on Behavioral Information and Internal State Information
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Managing the risk of injury or illness is an important consideration when keeping pets. This risk can be minimized if pets are monitored on a regular basis, but this can be difficult and time-consuming. However, because only the external behavior of the animal can be observed and the internal condition cannot be assessed, the animal’s state can easily be misjudged. Additionally, although some systems use heartbeat measurement to determine a state of tension, or use rest to assess the internal state, because an increase in heart rate can also occur as a result of exercise, it is desirable to use this measurement in combination with behavioral information. In the current study, we proposed a monitoring system for animals using video image analysis. The proposed system first extracts features related to behavioral information and the animal’s internal state via mask R-CNN using video images taken from the top of the cage. These features are used to detect typical daily activities and anomalous activities. This method produces an alert when the hamster behaves in an unusual way. In our experiment, the daily behavior of a hamster was measured and analyzed using the proposed system. The results showed that the features of the hamster’s behavior were successfully detected. When loud sounds were presented from outside the cage, the system was able to discriminate between the behavioral and internal changes of the hamster. In future research, we plan to improve the accuracy of the measurement of small movements and develop a more accurate system.
en-copyright=
kn-copyright=
en-aut-name=ShibanokiTaro
en-aut-sei=Shibanoki
en-aut-mei=Taro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YamazakiYuugo
en-aut-sei=Yamazaki
en-aut-mei=Yuugo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=TonookaHideyuki
en-aut-sei=Tonooka
en-aut-mei=Hideyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Department of Intelligent Mechanical Systems, Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Major in Computer and Information Sciences, Graduate School of Science and Engineering, Ibaraki University
kn-affil=
affil-num=3
en-affil=Major in Computer and Information Sciences, Graduate School of Science and Engineering, Ibaraki University
kn-affil=
en-keyword=monitoring system
kn-keyword=monitoring system
en-keyword=image processing
kn-keyword=image processing
en-keyword=mask R-CNN
kn-keyword=mask R-CNN
en-keyword=anomaly detection
kn-keyword=anomaly detection
en-keyword=one-class SVM
kn-keyword=one-class SVM
en-keyword=rodents
kn-keyword=rodents
END
start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=2
article-no=
start-page=548
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240115
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Ultrathin Platinum Film Hydrogen Sensors with a Twin-T Type Notch Filter Circuit
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In recent years, hydrogen energy has garnered attention as a potential solution for mitigating greenhouse gas emissions. However, concerns regarding the inherent risk of hydrogen gas leakage and potential explosions have necessitated the development of advanced sensors. Within our research group, we have innovated an ultrathin platinum (Pt) film hydrogen sensor that gauges resistance changes in Pt thin films when exposed to hydrogen gas. Notably, the sensitivity of each sensor is contingent upon the thickness of the Pt film. To address the challenge of detecting hydrogen using multiple sensors, we integrated the ultrathin Pt film as a resistance element within a twin-T type notch filter. This filter exhibits a distinctive reduction in output signals at a specific frequency. The frequency properties of the notch filter dynamically alter with changes in the resistance of the Pt film induced by hydrogen exposure. Consequently, the ultrathin Pt film hydrogen sensor monitors output signal variations around the notch frequency, responding to shifts in frequency properties. This innovative approach enables the electrical control of sensor sensitivity by adjusting the operating frequency in proximity to the notch frequency. Additionally, the simultaneous detection of hydrogen by multiple sensors was successfully achieved by interconnecting sensors with distinct notch frequencies in series.
en-copyright=
kn-copyright=
en-aut-name=WakabayashiShoki
en-aut-sei=Wakabayashi
en-aut-mei=Shoki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=OhYuki
en-aut-sei=Oh
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NakayamaHaruhito
en-aut-sei=Nakayama
en-aut-mei=Haruhito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=WangJin
en-aut-sei=Wang
en-aut-mei=Jin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KiwaToshihiko
en-aut-sei=Kiwa
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=hydrogen sensor
kn-keyword=hydrogen sensor
en-keyword=ultrathin film
kn-keyword=ultrathin film
en-keyword=twin-T
kn-keyword=twin-T
en-keyword=notch filter
kn-keyword=notch filter
en-keyword=platinum
kn-keyword=platinum
END
start-ver=1.4
cd-journal=joma
no-vol=20
cd-vols=
no-issue=7
article-no=
start-page=1611
end-page=1619
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240118
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Controlled mechanical properties of poly(ionic liquid)-based hydrophobic ion gels by the introduction of alumina nanoparticles with different shapes
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Ionic–liquid gels, also known as ion gels, have gained considerable attention due to their high ionic conductivity and CO2 absorption capacity. However, their low mechanical strength has hindered their practical applications. A potential solution to this challenge is the incorporation of particles, such as silica nanoparticles, TiO2 nanoparticles, and metal–organic frameworks (MOFs) into ion gels. Comparative studies on the effect of particles with different shapes are still in progress. This study investigated the effect of the shape of particles introduced into ion gels on their mechanical properties. Consequently, alumina/poly(ionic liquid) (PIL) double-network (DN) ion gels consisting of clustered alumina nanoparticles with various shapes (either spherical or rod-shaped) and a chemically crosslinked poly[1-ethyl-3-vinylimidazolium bis(trifluoromethanesulfonyl)imide] (PC2im-TFSI, PIL) network were prepared. The results revealed that the mechanical strengths of the alumina/PIL DN ion gels were superior to those of PIL single-network ion gels without particles. Notably, the fracture energies of the rod-shaped alumina/PIL DN ion gels were approximately 2.6 times higher than those of the spherical alumina/PIL DN ion gels. Cyclic tensile tests were performed, and the results indicate that the loading energy on the ion gel was dissipated through the fracture of the alumina network. TEM observation suggests that the variation in the mechanical strength depending on the shape can be attributed to differences in the aggregation structure of the alumina particles, thus indicating the possibility of tuning the mechanical strength of ion gels by altering not only particle kinds but its shape.
en-copyright=
kn-copyright=
en-aut-name=MizutaniYuna
en-aut-sei=Mizutani
en-aut-mei=Yuna
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WatanabeTakaichi
en-aut-sei=Watanabe
en-aut-mei=Takaichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=LopezCarlos G.
en-aut-sei=Lopez
en-aut-mei=Carlos G.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=OnoTsutomu
en-aut-sei=Ono
en-aut-mei=Tsutomu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Applied Chemistry, Graduate School of Natural Science, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Applied Chemistry, Graduate School of Natural Science, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Materials Science and Engineering, The Pennsylvania State University
kn-affil=
affil-num=4
en-affil=Department of Applied Chemistry, Graduate School of Natural Science, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=113
cd-vols=
no-issue=
article-no=
start-page=41
end-page=48
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240201
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Instant estimation of rice yield using ground-based RGB images and its potential applicability to UAV
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Rice (Oryza sativa L.) is one of the most important cereals, which provides 20% of the world’s food energy. However, its productivity is poorly assessed especially in the global South. Here, we provide a first study to perform a deep learning-based approach for instantaneously estimating rice yield using RGB images. During ripening stage and at harvest, over 22,000 digital images were captured vertically downwards over the rice canopy from a distance of 0.8 to 0.9m at 4,820 harvesting plots having the yield of 0.1 to 16.1 t ha-1 across six countries in Africa and Japan. A convolutional neural network (CNN) applied to these data at harvest predicted 68% variation in yield with a relative root mean square error (rRMSE) of 0.22. Even when the resolution of images was reduced (from 0.2 to 3.2cm pixel-1 of ground sampling distance), the model could predict 57% variation in yield, implying that this approach can be scaled by use of unmanned aerial vehicles. Our work offers low-cost, hands-on, and rapid approach for high throughput phenotyping, and can lead to impact assessment of productivity-enhancing interventions, detection of fields where these are needed to sustainably increase crop production.
en-copyright=
kn-copyright=
en-aut-name=TanakaYu
en-aut-sei=Tanaka
en-aut-mei=Yu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WatanabeTomoya
en-aut-sei=Watanabe
en-aut-mei=Tomoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KatsuraKeisuke
en-aut-sei=Katsura
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TsujimotoYasuhiro
en-aut-sei=Tsujimoto
en-aut-mei=Yasuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TakaiToshiyuki
en-aut-sei=Takai
en-aut-mei=Toshiyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=TanakaTakashi Sonam Tashi
en-aut-sei=Tanaka
en-aut-mei=Takashi Sonam Tashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KawamuraKensuke
en-aut-sei=Kawamura
en-aut-mei=Kensuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=SaitoHiroki
en-aut-sei=Saito
en-aut-mei=Hiroki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=HommaKoki
en-aut-sei=Homma
en-aut-mei=Koki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=MairouaSalifou Goube
en-aut-sei=Mairoua
en-aut-mei=Salifou Goube
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=AhouantonKokou
en-aut-sei=Ahouanton
en-aut-mei=Kokou
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=IbrahimAli
en-aut-sei=Ibrahim
en-aut-mei=Ali
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=SenthilkumarKalimuthu
en-aut-sei=Senthilkumar
en-aut-mei=Kalimuthu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=SemwalVimal Kumar
en-aut-sei=Semwal
en-aut-mei=Vimal Kumar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=MatuteEduardo Jose Graterol
en-aut-sei=Matute
en-aut-mei=Eduardo Jose Graterol
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
en-aut-name=CorredorEdgar
en-aut-sei=Corredor
en-aut-mei=Edgar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=16
ORCID=
en-aut-name=El-NamakyRaafat
en-aut-sei=El-Namaky
en-aut-mei=Raafat
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=17
ORCID=
en-aut-name=ManigbasNorvie
en-aut-sei=Manigbas
en-aut-mei=Norvie
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=18
ORCID=
en-aut-name=QuilangEduardo Jimmy P.
en-aut-sei=Quilang
en-aut-mei=Eduardo Jimmy P.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=19
ORCID=
en-aut-name=IwahashiYu
en-aut-sei=Iwahashi
en-aut-mei=Yu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=20
ORCID=
en-aut-name=NakajimaKota
en-aut-sei=Nakajima
en-aut-mei=Kota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=21
ORCID=
en-aut-name=TakeuchiEisuke
en-aut-sei=Takeuchi
en-aut-mei=Eisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=22
ORCID=
en-aut-name=SaitoKazuki
en-aut-sei=Saito
en-aut-mei=Kazuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=23
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Mathematics, Kyushu University
kn-affil=
affil-num=3
en-affil=Graduate School of Agriculture, Tokyo University of Agriculture and Technology
kn-affil=
affil-num=4
en-affil=Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=5
en-affil=Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=6
en-affil=Faculty of Biological Sciences, Gifu UniversityFaculty of Biological Sciences, Gifu University
kn-affil=
affil-num=7
en-affil=Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=8
en-affil=Tropical Agriculture Research Front, Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=9
en-affil=Graduate School of Agricultural Science, Tohoku University
kn-affil=
affil-num=10
en-affil=Africa Rice Center (AfricaRice)
kn-affil=
affil-num=11
en-affil=Africa Rice Center (AfricaRice)
kn-affil=
affil-num=12
en-affil=Africa Rice Center (AfricaRice), Regional Station for the Sahel
kn-affil=
affil-num=13
en-affil=Africa Rice Center (AfricaRice)
kn-affil=
affil-num=14
en-affil=Africa Rice Center (AfricaRice), Nigeria Station
kn-affil=
affil-num=15
en-affil=Latin American Fund for Irrigated Rice - The Alliance of Bioversity International and CIAT
kn-affil=
affil-num=16
en-affil=Latin American Fund for Irrigated Rice - The Alliance of Bioversity International and CIAT
kn-affil=
affil-num=17
en-affil=Rice Research and Training Center, Field Crops Research Institute
kn-affil=
affil-num=18
en-affil=Philippine Rice Research Institute (PhilRice)
kn-affil=
affil-num=19
en-affil=Philippine Rice Research Institute (PhilRice)
kn-affil=
affil-num=20
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=21
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=22
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=23
en-affil=Japan International Research Center for Agricultural Sciences
kn-affil=
en-keyword=Rice (Oryza sativa L.)
kn-keyword=Rice (Oryza sativa L.)
en-keyword=rough grain yield
kn-keyword=rough grain yield
en-keyword=convolutional neural network
kn-keyword=convolutional neural network
en-keyword=RGB images
kn-keyword=RGB images
en-keyword=UAV
kn-keyword=UAV
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=
article-no=
start-page=RP88822
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231121
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Characterization of tryptophan oxidation affecting D1 degradation by FtsH in the photosystem II quality control of chloroplasts
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Photosynthesis is one of the most important reactions for sustaining our environment. Photosystem II (PSII) is the initial site of photosynthetic electron transfer by water oxidation. Light in excess, however, causes the simultaneous production of reactive oxygen species (ROS), leading to photo-oxidative damage in PSII. To maintain photosynthetic activity, the PSII reaction center protein D1, which is the primary target of unavoidable photo-oxidative damage, is efficiently degraded by FtsH protease. In PSII subunits, photo-oxidative modifications of several amino acids such as Trp have been indeed documented, whereas the linkage between such modifications and D1 degradation remains elusive. Here, we show that an oxidative post-translational modification of Trp residue at the N-terminal tail of D1 is correlated with D1 degradation by FtsH during high-light stress. We revealed that Arabidopsis mutant lacking FtsH2 had increased levels of oxidative Trp residues in D1, among which an N-terminal Trp-14 was distinctively localized in the stromal side. Further characterization of Trp-14 using chloroplast transformation in Chlamydomonas indicated that substitution of D1 Trp-14 to Phe, mimicking Trp oxidation enhanced FtsH-mediated D1 degradation under high light, although the substitution did not affect protein stability and PSII activity. Molecular dynamics simulation of PSII implies that both Trp-14 oxidation and Phe substitution cause fluctuation of D1 N-terminal tail. Furthermore, Trp-14 to Phe modification appeared to have an additive effect in the interaction between FtsH and PSII core in vivo. Together, our results suggest that the Trp oxidation at its N-terminus of D1 may be one of the key oxidations in the PSII repair, leading to processive degradation by FtsH.
en-copyright=
kn-copyright=
en-aut-name=KatoYusuke
en-aut-sei=Kato
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KurodaHiroshi
en-aut-sei=Kuroda
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OzawaShin-Ichiro
en-aut-sei=Ozawa
en-aut-mei=Shin-Ichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=SaitoKeisuke
en-aut-sei=Saito
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=DograVivek
en-aut-sei=Dogra
en-aut-mei=Vivek
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=ScholzMartin
en-aut-sei=Scholz
en-aut-mei=Martin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=ZhangGuoxian
en-aut-sei=Zhang
en-aut-mei=Guoxian
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=de VitryCatherine
en-aut-sei=de Vitry
en-aut-mei=Catherine
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=IshikitaHiroshi
en-aut-sei=Ishikita
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=KimChanhong
en-aut-sei=Kim
en-aut-mei=Chanhong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=HipplerMichael
en-aut-sei=Hippler
en-aut-mei=Michael
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=TakahashiYuichiro
en-aut-sei=Takahashi
en-aut-mei=Yuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=SakamotoWataru
en-aut-sei=Sakamoto
en-aut-mei=Wataru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
affil-num=1
en-affil=Institute of Plant Science and Resources (IPSR), Okayama University
kn-affil=
affil-num=2
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
affil-num=3
en-affil=Institute of Plant Science and Resources (IPSR), Okayama University
kn-affil=
affil-num=4
en-affil=Research Center for Advanced Science and Technology, The University of Tokyo
kn-affil=
affil-num=5
en-affil=Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences
kn-affil=
affil-num=6
en-affil=Institute of Plant Biology and Biotechnology, University of Münster
kn-affil=
affil-num=7
en-affil=Institute of Plant Science and Resources (IPSR), Okayama University
kn-affil=
affil-num=8
en-affil=Institut de Biologie Physico-Chimique, Unité Mixte de Recherche 7141, Centre National de la Recherche Scientifique and Sorbonne Université Pierre et Marie Curie
kn-affil=
affil-num=9
en-affil=Research Center for Advanced Science and Technology, The University of Tokyo
kn-affil=
affil-num=10
en-affil=Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences
kn-affil=
affil-num=11
en-affil=Institute of Plant Science and Resources (IPSR), Okayama University
kn-affil=
affil-num=12
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
affil-num=13
en-affil=Institute of Plant Science and Resources (IPSR), Okayama University
kn-affil=
en-keyword=post-translational modification
kn-keyword=post-translational modification
en-keyword=Arabidopsis thaliana
kn-keyword=Arabidopsis thaliana
en-keyword=protein degradation
kn-keyword=protein degradation
en-keyword=photosystem II
kn-keyword=photosystem II
en-keyword=photo-oxidative damage
kn-keyword=photo-oxidative damage
en-keyword=tryptophan oxidation
kn-keyword=tryptophan oxidation
en-keyword=Chlamydomonas reinhardtii
kn-keyword=Chlamydomonas reinhardtii
END
start-ver=1.4
cd-journal=joma
no-vol=59
cd-vols=
no-issue=
article-no=
start-page=439
end-page=445
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=202312
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Solid-state inorganic and metallic adhesives for soft biological tissues
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Currently, the soft-tissue adhesives used in clinical practice are glue-type organic adhesives. However, there is a demand for new types of adhesives, because the current organic adhesives present challenges in terms of their biocompatibility and adhesion strength. This review summarizes the discovery and development of inorganic and metallic adhesives designed for soft biological tissues while focusing on immobilization of medical divices on soft tissues. These new types of adhesives are in a solid state and adhere directly and immediately to soft tissues. Therefore, they are called "solid-state adhesives" to distinguish them from the currently used glue-type adhesives. In previous studies on inorganic solid-state adhesives, oxides and calcium phosphates were used as raw materials in the form of nanoparticles, nanoparticle-coated films, or nanoparticle-assembled porous plates. In previous studies on metallic solid-state adhesives, only Ti and its alloys were used as raw materials. This review also discusses the future perspectives in this active research area.
en-copyright=
kn-copyright=
en-aut-name=OkadaMasahiro
en-aut-sei=Okada
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MatsumotoTakuya
en-aut-sei=Matsumoto
en-aut-mei=Takuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Department of Biomaterials, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Biomaterials, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Soft-tissue adhesive
kn-keyword=Soft-tissue adhesive
en-keyword=Solid-state adhesion
kn-keyword=Solid-state adhesion
en-keyword=Oxide
kn-keyword=Oxide
en-keyword=Calcium phosphate
kn-keyword=Calcium phosphate
en-keyword=Titanium
kn-keyword=Titanium
END
start-ver=1.4
cd-journal=joma
no-vol=436
cd-vols=
no-issue=5
article-no=
start-page=168319
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240301
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Molecular Property, Manipulation, and Potential Use of Opn5 and Its Homologs
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Animal opsin is a G-protein coupled receptor (GPCR) and binds retinal as a chromophore to form a photopigment. The Opsin 5 (Opn5) group within the animal opsin family comprises a diverse array of related proteins, such as Opn5m, a protein conserved across all vertebrate lineages including mammals, and other members like Opn5L1 and Opn5L2 found in non-mammalian vertebrate genomes, and Opn6 found in non-therian vertebrate genomes, along with Opn5 homologs present in invertebrates. Although these proteins collectively constitute a single clade within the molecular phylogenetic tree of animal opsins, they exhibit markedly distinct molecular characteristics in areas such as retinal binding properties, photoreaction, and G-protein coupling specificity. Based on their molecular features, they are believed to play a significant role in physiological functions. However, our understanding of their precise physiological functions and molecular characteristics is still developing and only partially realized. Furthermore, their unique molecular characteristics of Opn5-related proteins suggest a high potential for their use as optogenetic tools through more specialized manipulations. This review intends to encapsulate our current understanding of Opn5, discuss potential manipulations of its molecular attributes, and delve into its prospective utility in the burgeoning field of animal opsin optogenetics.
en-copyright=
kn-copyright=
en-aut-name=SatoKeita
en-aut-sei=Sato
en-aut-mei=Keita
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=OhuchiHideyo
en-aut-sei=Ohuchi
en-aut-mei=Hideyo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Department of Cytology and Histology, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Cytology and Histology, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=Opn5
kn-keyword=Opn5
en-keyword=rhodopsin
kn-keyword=rhodopsin
en-keyword=optogenetics
kn-keyword=optogenetics
en-keyword=retinal protein
kn-keyword=retinal protein
en-keyword=non-image-forming opsin
kn-keyword=non-image-forming opsin
END
start-ver=1.4
cd-journal=joma
no-vol=186
cd-vols=
no-issue=
article-no=
start-page=4189
end-page=4203.e22
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230914
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Structure of the thrombopoietin-MPL receptor complex is a blueprint for biasing hematopoiesis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Thrombopoietin (THPO or TPO) is an essential cytokine for hematopoietic stem cell (HSC) maintenance and megakaryocyte differentiation. Here, we report the 3.4 Å resolution cryoelectron microscopy structure of the extracellular TPO-TPO receptor (TpoR or MPL) signaling complex, revealing the basis for homodimeric MPL activation and providing a structural rationalization for genetic loss-of-function thrombocytopenia mutations. The structure guided the engineering of TPO variants (TPOmod) with a spectrum of signaling activities, from neutral antagonists to partial- and super-agonists. Partial agonist TPOmod decoupled JAK/STAT from ERK/AKT/CREB activation, driving a bias for megakaryopoiesis and platelet production without causing significant HSC expansion in mice and showing superior maintenance of human HSCs in vitro. These data demonstrate the functional uncoupling of the two primary roles of TPO, highlighting the potential utility of TPOmod in hematology research and clinical HSC transplantation.
en-copyright=
kn-copyright=
en-aut-name=TsutsumiNaotaka
en-aut-sei=Tsutsumi
en-aut-mei=Naotaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MasoumiZahra
en-aut-sei=Masoumi
en-aut-mei=Zahra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=JamesSophie C.
en-aut-sei=James
en-aut-mei=Sophie C.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TuckerJulie A.
en-aut-sei=Tucker
en-aut-mei=Julie A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=WinkelmannHauke
en-aut-sei=Winkelmann
en-aut-mei=Hauke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=GreyWilliam
en-aut-sei=Grey
en-aut-mei=William
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=PictonLora K.
en-aut-sei=Picton
en-aut-mei=Lora K.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=MossLucie
en-aut-sei=Moss
en-aut-mei=Lucie
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=WilsonSteven C.
en-aut-sei=Wilson
en-aut-mei=Steven C.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=CaveneyNathanael A.
en-aut-sei=Caveney
en-aut-mei=Nathanael A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=JudeKevin M.
en-aut-sei=Jude
en-aut-mei=Kevin M.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=GatiCornelius
en-aut-sei=Gati
en-aut-mei=Cornelius
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=PiehlerJacob
en-aut-sei=Piehler
en-aut-mei=Jacob
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=HitchcockIan S.
en-aut-sei=Hitchcock
en-aut-mei=Ian S.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=GarciaK. Christopher
en-aut-sei=Garcia
en-aut-mei=K. Christopher
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=York Biomedical Research Institute, Department of Biology, University of York
kn-affil=
affil-num=3
en-affil=York Biomedical Research Institute, Department of Biology, University of York
kn-affil=
affil-num=4
en-affil=York Biomedical Research Institute, Department of Biology, University of York
kn-affil=
affil-num=5
en-affil=Department of Biology/Chemistry and Center of Cellular Nanoanalytics, Osnabrück University
kn-affil=
affil-num=6
en-affil=York Biomedical Research Institute, Department of Biology, University of York
kn-affil=
affil-num=7
en-affil=Department of Molecular and Cellular Physiology, Stanford University School of Medicine
kn-affil=
affil-num=8
en-affil=York Biomedical Research Institute, Department of Biology, University of York
kn-affil=
affil-num=9
en-affil=Department of Molecular and Cellular Physiology, Stanford University School of Medicine
kn-affil=
affil-num=10
en-affil=Department of Molecular and Cellular Physiology, Stanford University School of Medicine
kn-affil=
affil-num=11
en-affil=Department of Molecular and Cellular Physiology, Stanford University School of Medicine
kn-affil=
affil-num=12
en-affil=Department of Structural Biology, Stanford University School of Medicine
kn-affil=
affil-num=13
en-affil=Department of Biology/Chemistry and Center of Cellular Nanoanalytics, Osnabrück University
kn-affil=
affil-num=14
en-affil=York Biomedical Research Institute, Department of Biology, University of York
kn-affil=
affil-num=15
en-affil=Department of Molecular and Cellular Physiology, Stanford University School of Medicine
kn-affil=
en-keyword=thrombopoietin
kn-keyword=thrombopoietin
en-keyword=TpoR
kn-keyword=TpoR
en-keyword=c-MPL
kn-keyword=c-MPL
en-keyword=structure
kn-keyword=structure
en-keyword=cryo-EM
kn-keyword=cryo-EM
en-keyword=signaling
kn-keyword=signaling
en-keyword=JAK-STAT
kn-keyword=JAK-STAT
en-keyword=mTOR
kn-keyword=mTOR
en-keyword=hematopoiesis
kn-keyword=hematopoiesis
en-keyword=ligand engineering
kn-keyword=ligand engineering
END
start-ver=1.4
cd-journal=joma
no-vol=5
cd-vols=
no-issue=
article-no=
start-page=0073
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230728
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Rice (Oryza sativa L.) is one of the most important cereals, which provides 20% of the world’s food energy. However, its productivity is poorly assessed especially in the global South. Here, we provide a first study to perform a deep-learning-based approach for instantaneously estimating rice yield using red-green-blue images. During ripening stage and at harvest, over 22,000 digital images were captured vertically downward over the rice canopy from a distance of 0.8 to 0.9 m at 4,820 harvesting plots having the yield of 0.1 to 16.1 t·ha−1 across 6 countries in Africa and Japan. A convolutional neural network applied to these data at harvest predicted 68% variation in yield with a relative root mean square error of 0.22. The developed model successfully detected genotypic difference and impact of agronomic interventions on yield in the independent dataset. The model also demonstrated robustness against the images acquired at different shooting angles up to 30° from right angle, diverse light environments, and shooting date during late ripening stage. Even when the resolution of images was reduced (from 0.2 to 3.2 cm·pixel−1 of ground sampling distance), the model could predict 57% variation in yield, implying that this approach can be scaled by the use of unmanned aerial vehicles. Our work offers low-cost, hands-on, and rapid approach for high-throughput phenotyping and can lead to impact assessment of productivity-enhancing interventions, detection of fields where these are needed to sustainably increase crop production, and yield forecast at several weeks before harvesting.
en-copyright=
kn-copyright=
en-aut-name=TanakaYu
en-aut-sei=Tanaka
en-aut-mei=Yu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=WatanabeTomoya
en-aut-sei=Watanabe
en-aut-mei=Tomoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KatsuraKeisuke
en-aut-sei=Katsura
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TsujimotoYasuhiro
en-aut-sei=Tsujimoto
en-aut-mei=Yasuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TakaiToshiyuki
en-aut-sei=Takai
en-aut-mei=Toshiyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=TanakaTakashi Sonam Tashi
en-aut-sei=Tanaka
en-aut-mei=Takashi Sonam Tashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=KawamuraKensuke
en-aut-sei=Kawamura
en-aut-mei=Kensuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=SaitoHiroki
en-aut-sei=Saito
en-aut-mei=Hiroki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=HommaKoki
en-aut-sei=Homma
en-aut-mei=Koki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=MairouaSalifou Goube
en-aut-sei=Mairoua
en-aut-mei=Salifou Goube
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=AhouantonKokou
en-aut-sei=Ahouanton
en-aut-mei=Kokou
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=IbrahimAli
en-aut-sei=Ibrahim
en-aut-mei=Ali
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=SenthilkumarKalimuthu
en-aut-sei=Senthilkumar
en-aut-mei=Kalimuthu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
en-aut-name=SemwalVimal Kumar
en-aut-sei=Semwal
en-aut-mei=Vimal Kumar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=
en-aut-name=MatuteEduardo Jose Graterol
en-aut-sei=Matute
en-aut-mei=Eduardo Jose Graterol
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=
en-aut-name=CorredorEdgar
en-aut-sei=Corredor
en-aut-mei=Edgar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=16
ORCID=
en-aut-name=El-NamakyRaafat
en-aut-sei=El-Namaky
en-aut-mei=Raafat
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=17
ORCID=
en-aut-name=ManigbasNorvie
en-aut-sei=Manigbas
en-aut-mei=Norvie
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=18
ORCID=
en-aut-name=QuilangEduardo Jimmy P.
en-aut-sei=Quilang
en-aut-mei=Eduardo Jimmy P.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=19
ORCID=
en-aut-name=IwahashiYu
en-aut-sei=Iwahashi
en-aut-mei=Yu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=20
ORCID=
en-aut-name=NakajimaKota
en-aut-sei=Nakajima
en-aut-mei=Kota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=21
ORCID=
en-aut-name=TakeuchiEisuke
en-aut-sei=Takeuchi
en-aut-mei=Eisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=22
ORCID=
en-aut-name=SaitoKazuki
en-aut-sei=Saito
en-aut-mei=Kazuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=23
ORCID=
affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Graduate School of Mathematics, Kyushu University
kn-affil=
affil-num=3
en-affil=Graduate School of Agriculture, Tokyo University of Agriculture and Technology
kn-affil=
affil-num=4
en-affil=Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=5
en-affil=Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=6
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=7
en-affil=Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=8
en-affil=Tropical Agriculture Research Front, Japan International Research Center for Agricultural Sciences
kn-affil=
affil-num=9
en-affil=Graduate School of Agricultural Science, Tohoku University
kn-affil=
affil-num=10
en-affil=Africa Rice Center (AfricaRice)
kn-affil=
affil-num=11
en-affil=Africa Rice Center (AfricaRice)
kn-affil=
affil-num=12
en-affil=Africa Rice Center (AfricaRice), Regional Station for the Sahel
kn-affil=
affil-num=13
en-affil=Africa Rice Center (AfricaRice)
kn-affil=
affil-num=14
en-affil=Africa Rice Center (AfricaRice), Nigeria Station
kn-affil=
affil-num=15
en-affil=Latin American Fund for Irrigated Rice - The Alliance of Bioversity International and CIAT
kn-affil=
affil-num=16
en-affil=Latin American Fund for Irrigated Rice - The Alliance of Bioversity International and CIAT
kn-affil=
affil-num=17
en-affil=Rice Research and Training Center, Field Crops Research Institute, ARC
kn-affil=
affil-num=18
en-affil=Philippine Rice Research Institute (PhilRice)
kn-affil=
affil-num=19
en-affil=Philippine Rice Research Institute (PhilRice)
kn-affil=
affil-num=20
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=21
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=22
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=23
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=11
article-no=
start-page=424
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231114
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Development of Hexagonal Pyramid-Shaped Flexible Actuator with Anisotropic Stiffness for Upper-Limb Rehabilitation Device
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Rehabilitation devices for passive exercise have been actively researched and developed in accordance with Japan's aging society. A previous study proposed and tested an extension-type flexible pneumatic actuator (EFPA) with reinforced stiffness that could achieve passive exercise in patients. In addition, a rehabilitation device for shoulder joints with an embedded controller and small valves was proposed and tested. Joints such as the shoulder and scapula were subjected to passive exercise utilizing the tested device. However, it is difficult for patients with contractions to perform the same exercise because the reinforced EFPA can buckle. Here, to realize an EFPA with a higher stiffness, a flexible actuator in the shape of a hexagonal pyramid is proposed and tested. The hexagonal pyramid shape of a flexible actuator has a high stiffness in the direction of motion and flexibility in other directions; hereafter, this characteristic is called anisotropic stiffness. The characteristics of the hexagonal pyramid shape of the EFPA are described and compared with those of a previously reinforced EFPA. An analytical model was proposed to predict and design the shape of the hexagonal pyramid EFPA. The validity of the model is also described.
en-copyright=
kn-copyright=
en-aut-name=ShimookaSo
en-aut-sei=Shimooka
en-aut-mei=So
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HimuroHiroki
en-aut-sei=Himuro
en-aut-mei=Hiroki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=GofukuAkio
en-aut-sei=Gofuku
en-aut-mei=Akio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=2
en-affil=Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=3
en-affil=Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=hexagonal pyramid shape of flexible actuator
kn-keyword=hexagonal pyramid shape of flexible actuator
en-keyword=anisotropic stiffness
kn-keyword=anisotropic stiffness
en-keyword=extension-type flexible pneumatic actuator
kn-keyword=extension-type flexible pneumatic actuator
en-keyword=analytical model of shape
kn-keyword=analytical model of shape
END
start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=12
article-no=
start-page=1706
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231124
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Roles of Human Endogenous Retroviruses and Endogenous Virus-Like Elements in Cancer Development and Innate Immunity
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Human endogenous retroviruses (HERVs) are remnants of ancient retroviral infections in the host genome. Although mutations and silencing mechanisms impair their original role in viral replication, HERVs are believed to play roles in various biological processes. Long interspersed nuclear elements (LINEs) are non-LTR retrotransposons that have a lifecycle resembling that of retroviruses. Although LINE expression is typically silenced in somatic cells, it also contributes to various biological processes. The aberrant expression of HERVs and LINEs is closely associated with the development of cancer and/or immunological diseases, suggesting that they are integrated into various pathways related to the diseases. HERVs/LINEs control gene expression depending on the context as promoter/enhancer elements. Some RNAs and proteins derived from HERVs/LINEs have oncogenic potential, whereas others stimulate innate immunity. Non-retroviral endogenous viral elements (nrEVEs) are a novel type of virus-like element in the genome. nrEVEs may also be involved in host immunity. This article provides a current understanding of how these elements impact cellular physiology in cancer development and innate immunity, and provides perspectives for future studies.
en-copyright=
kn-copyright=
en-aut-name=KatohHirokazu
en-aut-sei=Katoh
en-aut-mei=Hirokazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=HondaTomoyuki
en-aut-sei=Honda
en-aut-mei=Tomoyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
affil-num=1
en-affil=Department of Virology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Virology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=HERVs
kn-keyword=HERVs
en-keyword=LINEs
kn-keyword=LINEs
en-keyword=cancer
kn-keyword=cancer
en-keyword=innate immunity
kn-keyword=innate immunity
en-keyword=promoter
kn-keyword=promoter
en-keyword=enhancer
kn-keyword=enhancer
en-keyword=interferon signaling
kn-keyword=interferon signaling
END
start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=12
article-no=
start-page=e8364
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231221
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Nontuberculous mycobacterial abscess of lacrimal sac and eyelid debridement: Case report
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A 56-year-old otherwise healthy woman developed abscess from dacryocystitis in the right lower eyelid. The smear of puncture fluid showed acid-fast bacilli and Mycobacterium abscessus was identified after a month. The early start of clarithromycin/ethambutol was switched to clarithromycin/levofloxacin. Debridement specimen after 7-month treatment showed granulomatous tissue with no bacilli.
en-copyright=
kn-copyright=
en-aut-name=MatsuoToshihiko
en-aut-sei=Matsuo
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TanakaTakehiro
en-aut-sei=Tanaka
en-aut-mei=Takehiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=YamadaKiyoshi
en-aut-sei=Yamada
en-aut-mei=Kiyoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=NoseMotoko
en-aut-sei=Nose
en-aut-mei=Motoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=TanimotoYasushi
en-aut-sei=Tanimoto
en-aut-mei=Yasushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Pathology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Plastic and Reconstructive Surgery, Okayama University Hospital
kn-affil=
affil-num=4
en-affil=Department of Clinical Laboratory, Okayama University Hospital
kn-affil=
affil-num=5
en-affil=Department of Allergy and Respiratory Medicine, Okayama University Hospital
kn-affil=
en-keyword=debridement
kn-keyword=debridement
en-keyword=eyelid
kn-keyword=eyelid
en-keyword=lacrimal sac
kn-keyword=lacrimal sac
en-keyword=Mycobacterium abscessus
kn-keyword=Mycobacterium abscessus
en-keyword=nontuberculous mycobacteria
kn-keyword=nontuberculous mycobacteria
END
start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=18
article-no=
start-page=2893
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230909
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=MicroRNAs as Biomarkers and Therapeutic Targets for Acute Kidney Injury
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Acute kidney injury (AKI) is a clinical syndrome where a rapid decrease in kidney function and/or urine output is observed, which may result in the imbalance of water, electrolytes and acid base. It is associated with poor prognosis and prolonged hospitalization. Therefore, an early diagnosis and treatment to avoid the severe AKI stage are important. While several biomarkers, such as urinary L-FABP and NGAL, can be clinically useful, there is still no gold standard for the early detection of AKI and there are limited therapeutic options against AKI. miRNAs are non-coding and single-stranded RNAs that silence their target genes in the post-transcriptional process and are involved in a wide range of biological processes. Recent accumulated evidence has revealed that miRNAs may be potential biomarkers and therapeutic targets for AKI. In this review article, we summarize the current knowledge about miRNAs as promising biomarkers and potential therapeutic targets for AKI, as well as the challenges in their clinical use.
en-copyright=
kn-copyright=
en-aut-name=TsujiKenji
en-aut-sei=Tsuji
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=NakanohHiroyuki
en-aut-sei=Nakanoh
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FukushimaKazuhiko
en-aut-sei=Fukushima
en-aut-mei=Kazuhiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=KitamuraShinji
en-aut-sei=Kitamura
en-aut-mei=Shinji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=WadaJun
en-aut-sei=Wada
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=microRNA
kn-keyword=microRNA
en-keyword=acute kidney injury
kn-keyword=acute kidney injury
en-keyword=biomarker
kn-keyword=biomarker
en-keyword=mesenchymal stem cell
kn-keyword=mesenchymal stem cell
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=1つのRNA上の2つの変異を検出する新規プローブの開発
kn-title=Development of novel probe for detecting two mutations on one RNA
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=MYAT THU
en-aut-sei=MYAT THU
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=岡山大学大学院ヘルスシステム統合科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=ウシ凍結融解精子の運動性及び生存性に影響を及ぼす諸因子に関する評価
kn-title=Assessment of factors affecting the motility and viability of frozen-thawed bull spermatozoa
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=
en-aut-name=NGUYEN THANH HAI
en-aut-sei=NGUYEN THANH HAI
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=岡山大学大学院環境生命科学研究科
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230925
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=バレートポロジカル・フォノニックバンド工学に基づく動的制御可能な2次元フォノニック導波路の設計
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en-title=無線LANシステムにおける複式のIEEE 802.11n・11acインターフェースのための動作アクセスポイント構成アルゴリズムの研究
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en-title=3つのアプリケーションにおける汎用パラメータ最適化アルゴリズムの研究
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kn-title=好熱性真正細菌Bellilinea sp.由来の微生物型ロドプシンBeNaRにおける分子機能・特性解析
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END