American Geophysical Union (AGU) Acta Medica Okayama 2169-9097 131 11 2026 New Constraints on the Lunar Crust and Upper Mantle From Multiple Geophysical Data Sets e2026JE009866 EN Xiang Zhang Université Paris Cité, Institut de physique du globe de Paris, CNRS Philippe Lognonné Université Paris Cité, Institut de physique du globe de Paris, CNRS Henri Samuel Université Paris Cité, Institut de physique du globe de Paris, CNRS Taichi Kawamura Université Paris Cité, Institut de physique du globe de Paris, CNRS Mélanie Drilleau Université Paris Cité, Institut de physique du globe de Paris, CNRS Mark Wieczorek Université Paris Cité, Institut de physique du globe de Paris, CNRS Zongbo Xu Université Paris Cité, Institut de physique du globe de Paris, CNRS Keisuke Onodera Institute for Planetary Materials, Okayama University Determining the crust–mantle boundary of the Moon has been an important topic in lunar interior studies. However, strong seismic scattering in the lunar subsurface has made it challenging to identify clear crustal reflections or converted seismic phases. In addition, the limited epicentral distances of recorded moonquakes restrict direct constraints on the lunar crust from first-arriving seismic waves. Consequently, the Moon's crustal structure remains poorly constrained due to the limited availability of seismological evidence. Through joint analysis of seismic, topographic, and gravity data, while accounting for seismic velocity variations predicted by thermal modeling, we obtain new ray tracing results and present new insights on the lunar crust and upper mantle structure. Our results constrain the average global Moho depth to 35.1 ± 2.6 km. Additionally, our results indicate slightly lower seismic velocities in the uppermost mantle than previously estimated, at approximately 7.5 km/s. Introducing the thermal model into the inversion further allows us to constrain the Moon's surface heat flow, with an average value of 10.7 ± 0.8 m⁢W/m2, which is consistent with the heat flow measurements obtained during the Apollo mission. The refined crustal thickness provides a structural basis for estimating the Moon's bulk Al and Th abundances. The model also better constrains the porosity, density, and radiogenic heat production of the lunar crust, and provide new implications for a pyroxene-rich upper mantle composition. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2662-2963 7 6 2026 A simple proof for the existence of V-form fronts in reaction–diffusion equations 48 EN Satomu Nagashima Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Masaharu Taniguchi Research Institute for Interdisciplinary Science, Advanced Research Field, Okayama University George Taylor Graduate School of Environmental, Life, Natural Science and Technology, Okayama University This paper studies V-form traveling fronts to a bistable reaction–diffusion equation. V-form traveling fronts have been studied so far for many reaction–diffusion equations. The proof of its existence is often based on the multi-scale method. In this paper we present a new simple proof for the existence of V-form traveling fronts based on estimates by inscribed balls. No potential conflict of interest relevant to this article was reported.

Japanese Society of Toxicology Acta Medica Okayama 0388-1350 51 10 2026 Integration of QSAR modeling and in vitro validation for identification of food-derived Nrf2 activators against arsenic-induced toxicity 533 547 EN Ngo Thanh Huong Laboratory of Toxicology, Division of Pharmaceutical Sciences, Graduate School of Medicine Dentistry and Pharmaceutical Sciences, Okayama University Susumu Kodama Laboratory of Toxicology, Division of Pharmaceutical Sciences, Graduate School of Medicine Dentistry and Pharmaceutical Sciences, Okayama University Atsushi Ono Laboratory of Toxicology, Division of Pharmaceutical Sciences, Graduate School of Medicine Dentistry and Pharmaceutical Sciences, Okayama University Arsenic exposure is a major public health concern due to its toxicity and carcinogenicity, largely mediated by oxidative stress, and activation of the Nrf2 signaling pathway is considered a promising strategy to mitigate such damage. In this study, a quantitative structure–activity relationship (QSAR) model was developed to identify potential Nrf2 activators from food-derived compounds. Machine learning algorithms, including Random Forest (RF), Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), and a stacking model, were developed and optimized. The optimized RF, SVM, and LDA models were subsequently integrated into a stacking framework, which was selected as the final predictive model for virtual screening based on its robust and balanced predictive performance. The stacking model achieved the highest accuracy during five-fold cross-validation (0.77) and demonstrated competitive performance on the independent test set (0.742 ± 0.040), with balanced precision, sensitivity, and F-measure. Consequently, the stacking model was selected as the final model for virtual screening. A total of 70,926 compounds retrieved from a food-derived database were filtered based on physicochemical criteria, and QSAR-based virtual screening predicted 920 compounds as potential activators of the Nrf2 signaling pathway, from which 5,7-Dimethylchrysin (FooDB ID: FDB015537) and Demethylvestitol (FooDB ID: FDB012218) were selected for experimental validation. In vitro assays using HepG2 cells demonstrated that 5,7-Dimethylchrysin significantly enhanced cell viability against sodium arsenite (150 μM)-induced cytotoxicity, with an effective concentration (EC50) of 0.54 μM, whereas Demethylvestitol exhibited only limited protective effects. Furthermore, luciferase reporter assays confirmed that 5,7-Dimethylchrysin activated antioxidant response element (ARE)-driven transcription in a concentration-dependent manner, producing a 1.5 to 2.4-fold increase at concentrations ranging from 0.78 to 6.25 μM. Overall, these findings highlight the effectiveness of integrating QSAR modeling with experimental validation to identify food-derived compounds with protective potential against arsenic-induced toxicity, with 5,7-Dimethylchrysin emerging as a promising candidate for further investigation. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 1012-2443 94 1 2025 An XAI-based meta-parameter tuning for time-series forecasting 1 18 EN Hiroyuki Nakagawa Okayama University Shimon Sumita Osaka University Ryuichi Iida Okayama University Tatsuhiro Tsuchiya Osaka University How can we efficiently determine meta-parameter values for deep learning-based time-series forecasting given a time-series dataset? This paper introduces Xtune, an efficient and novel meta-parameter tuning method for deep learning-based time-series forecasting, leveraging explainable AI techniques. In particular, this study focuses on optimizing the window size for time-series forecasting. Xtune determines the optimal meta-parameter value for these methods and can also be applied to tune the window size for anomaly detection methods that utilize deep learning-based time-series forecasting. Extensive experiments on real-world datasets and forecasting methods demonstrate that Xtune efficiently identifies the optimal meta-parameter value and consistently outperforms the existing methods in terms of execution speed. No potential conflict of interest relevant to this article was reported.

American Astronomical Society Acta Medica Okayama 0004-637X 980 1 2025 Observing Supernova Neutrino Light Curves with Super-Kamiokande. V. Distance Estimation with Neutrinos 117 EN Yudai Suwa Department of Earth Science and Astronomy, The University of Tokyo Akira Harada Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS), RIKEN Masamitsu Mori Division of Science, National Astronomical Observatory of Japan Ken’ichiro Nakazato Faculty of Arts and Science, Kyushu University Ryuichiro Akaho Faculty of Science and Engineering, Waseda University Masayuki Harada Department of Physics, Okayama University Yusuke Koshio Department of Physics, Okayama University Fumi Nakanishi Department of Physics, Okayama University Kohsuke Sumiyoshi National Institute of Technology, Numazu College Roger A. Wendell Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), Todai Institutes for Advanced Study, The University of Tokyo Neutrinos are pivotal signals in multimessenger observations of supernovae (SNe). Recent advancements in the analysis method of supernova (SN) neutrinos, especially in quantitative analysis, have significantly broadened scientific possibilities. This study demonstrates the feasibility of estimating distances to SNe using neutrinos. This estimation utilizes the direct relationship between the radius of a neutron star (NS) and the distance to the supernova, which is analogous to main-sequence fitting. The radius of an NS is determined with an approximate uncertainty of 10% through observations such as X-rays and gravitational waves. By integrating this information, the distance to the supernova can be estimated with an uncertainty of within 15% at a 95% confidence level. It has been established that neutrinos can pinpoint the direction of supernovae, and when combined with distance estimates, three-dimensional localization becomes achievable. This capability is vital for follow-up observations using multimessenger approaches. Moreover, more precise distance determinations to SNe through follow-up observations, such as optical observations, allow for accurate measurements of neutron-star radii. This data, via the neutron-star mass–radius relationship, could provide various insights into nuclear physics. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 0009-0352 102 3 2025 A Curve Fitting Method for Analyzing Starch Granule Size Distributions in Cereals 438 450 EN Rose McNelly John Innes Centre Amy Briffa John Innes Centre Georgia Yiasoumi John Innes Centre Cristobal Uauy John Innes Centre Ryo Matsushima Institute of Plant Science and Resources, Okayama University David Seung John Innes Centre Background and Objectives: The size distribution of starch granules is an important factor in determining the functional and nutritional properties of starch. However, a simple, standardized method for their analysis is lacking. Here, we developed an approach for estimating granule size parameters using a Python script that fits curves to volumetric granule size distributions generated using a Coulter counter.<br> Findings: The bimodal size distribution of starch from most wheat and barley cultivars could be best described with a mixed distribution curve. A log-normal distribution was fitted to the small B-type granules, and a normal distribution was fitted to the large A-type granules, allowing estimation of their relative abundance and size parameters despite their overlapping size distributions. However, the optimal fitting is altered in wheat mutants with large perturbations in B-type granule content. In maize and rice, which have unimodal granule size distributions, size parameters were calculated by fitting a single normal distribution.<br> Conclusions: Curve fitting is an effective approach for estimating starch granule size parameters in diverse cereals, particularly the Triticeae with A- and B-type granules.<br> Significance and Novelty: We provide new tools and guidelines for the quantitative analysis of granule size in cereals. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 2751-1219 5 9 2026 Proton‐Radiation‐Tolerant Silicon Photonic Charge Sensor for Spacecraft Applications e70208 EN Wataru Takahama Department of Physics and Electronics, Osaka Metropolitan University Kosei Otsuka Department of Physics and Electronics, Osaka Metropolitan University Ayumi Ishihara Department of Physics and Electronics, Osaka Metropolitan University Rikuto Hojo Department of Space Systems Engineering, Kyushu Institute of Technology Tomofumi Mogami ElectrostaticEngineering DEPT, Kasuga Denki INC Kazuhiro Toyoda Department of Space Systems Engineering, Kyushu Institute of Technology Kohtaku Suzuki Research and Development, The Wakasa Wan Energy Research Center Yasushi Takahashi Faculty of Environmental, Life, Natural Science and Technology,Okayama University Silicon waveguides are promising platforms for spacecraft potential sensing owing to their compactness and immunity to electromagnetic interference. However, proton-induced optical absorption in operating silicon waveguides has not been quantitatively clarified, despite their direct exposure to the space radiation environment during spacecraft operation. Here, we present a systematic elucidation of proton-radiation effects on a photonic charge sensor based on silicon photonic crystal waveguides. During proton irradiation at 20 keV, we quantitatively evaluate the increase in optical absorption under device operation and find that a fluence of 1.0 ×1014 cm− 2 induces an additional absorption coefficient of approximately 0.41 cm− 1 . We further demonstrate that the sensor retains its ability to measure spacecraft potential even after exposure to a high proton fluence of 1.0 ×1015 cm− 2 , confirming its intrinsic radiation tolerance. These results establish the radiation robustness of silicon-waveguide- based sensing mechanisms and provide the first quantitative basis for implementing photonic charge sensors in radiation-rich spacecraft environments. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 0022-3751 604 18 2026 Integrative simulation analysis of myocardial ischaemia–reperfusion injury 7640 7662 EN Takao Shimayoshi Center for Artificial Intelligence and Mathematical Data Science, Okayama University Ayako Takeuchi Department of Physiology and Biophysics, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Satoshi Matsuoka Department of Integrative and Systems Physiology, Faculty of Medical Sciences, University of Fukui Cardiac ischaemia, reduced coronary blood flow, causes significant damages to the heart, and paradoxically reperfusion, restored flow after ischaemia, often results in more severe injury. Although the mechanisms underlying cardiac ischaemia–reperfusion injury have been intensively investigated, effective therapeutic strategies applicable during reperfusion to mitigate this damage have not been established yet. To obtain more insights into the mechanisms underlying ischaemia–reperfusion injury, and to explore effective methods to relieve reperfusion injury, we developed a comprehensive mathematical model of ventricular myocyte, implementing excitation–contraction (E–C) coupling, cytosolic and mitochondrial pH regulation, pH dependence of major components of E–C coupling and cellular energy metabolism, including mitochondrial oxidative phosphorylation. The mathematical model successfully reproduced experimentally observed findings on cardiac ischaemia–reperfusion injury, such as intracellular and extracellular acidosis, cytosolic Na+ overload, cytosolic Ca2+ overload, mitochondrial dysfunction, action potential shortening and contraction failure. It was found that the reperfusion-induced exacerbation of Na+i, Ca2+i overloads was mainly caused by insufficient production of NADH, which is used in mitochondrial oxidative phosphorylation to synthesize ATP for Na+/K+ pump and sarcoplasmic/endoplasmic reticulum Ca2+ pump (SERCA) to expel accumulated cytosolic Na+ and Ca2+, respectively. It was suggested that the preservation of mitochondrial NADH production, attenuation of ATP consumption via SERCA or contraction for a short period or activation of the Na+/K+ pump during reperfusion mitigates reperfusion injury. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0969-806X 251 2027 A rule-based calculation approach to derive bone-suppressed chest X-ray images using photon-counting techniques 114493 EN Natsumi Kimoto Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University Rina Nishigami Graduate School of Medical Sciences, Kanazawa University Takashi Asahara Department of Radiological Technology, Faculty of Health Sciences, Okayama University Mana Mitani Division of Radiology, Medical Support Department, Okayama University Hospital Daiki Kobayashi Graduate School of Medical Sciences, Kanazawa University Noriaki Akagi Division of Radiology, Medical Support Department, Okayama University Hospital Toshihiro Iguchi Department of Radiological Technology, Faculty of Health Sciences, Okayama University Takao Hiraki Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Hiroaki Hayashi College of Transdisciplinary Sciences for Innovation, Kanazawa University Improving the visibility of lung nodules, which are often hidden by bone shadows and difficult to identify, remains a challenge in chest radiography. This study aims to develop an algorithm for generating novel bone-suppressed images using photon-counting techniques. The core idea of our algorithm is to fit photon interaction cross-sections to X-ray attenuation data measured with photon-counting detectors. Based on further calculations using the derived fitting coefficients, both density (ρ) and amount-of-substance concentration (mol) were determined. The product of these values produced a ρ×mol image exhibiting a clear bone-suppression effect. We conducted a virtual chest imaging simulation using 10 patient datasets acquired via clinical photon-counting computed tomography (PC-CT). The CT images were converted into ρ×mol images following the proposed processing procedure, and two-dimensional chest images were generated through projection. Quantitative evaluations confirmed that the proposed images achieved sufficient bone suppression. Furthermore, commercial software provided by a vendor was used to generate bone-suppressed images from conventional images projected from CT data. A comparable bone-suppression effect on the ribs was observed between the vendor-generated images and our proposed images, while lesion visibility (e.g., lung nodules) was preserved. Additionally, bone-suppression effects in our images were observed in the vertebrae and clavicles located outside the lung fields. Our research demonstrates the value of constructing general X-ray imaging systems using photon-counting detectors. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 2238-7854 45 2026 Enhancement of mechanical properties in a cast hypereutectic Al–Si alloy via rapid cooling in heated mold continuous casting 485 494 EN Shuhei Takeuchi Graduate School of Environment, Life, Natural Science and Technology, Okayama University Shota Nakagawa UACJ Corporation Yoshifumi Shinzato UACJ Corporation Tadashi Minoda UACJ Corporation Naotaka Ohtsuka UACJ Corporation Mitsuhiro Okayasu Department of Mechanical and Systems Engineering, Okayama University To enhance mechanical properties in cast hypereutectic Al–Si alloys, Al–14.5Si samples were produced by the heated mold continuous casting (HMC). The HMC process was conducted under unidirectional solidification at cooling rates (CRs) ranging from 4.6 × 10−1 to 1.3 × 103 K/s, which were obtained by controlling the casting speed (CS). The microstructure basically consisted of α-Al dendrite, Al–Si eutectic and primary Si, while their area fractions (fα-Al, fe, and fp-Si) varied depending on the CR. At the low CR of 4.6 × 10−1 K/s, their area fractions were as follows: fα-Al = 0.2%, fe = 97.3%, and fp-Si = 2.5%, which is the typical microstructural morphology of a hypereutectic Al-Si alloy. In contrast, at the high CR of 1.3 × 103 K/s, those area fractions were altered to fα-Al = 32.3% and fe = 67.7%, while primary Si was strongly suppressed (fp-Si ≈ 0%) despite the hypereutectic Al–14.5Si alloy. Moreover, at the high CR, the aluminum matrix appears to exhibit a nearly uniform crystal orientation along <101>. These microstructural changes may be related not only to high CR but also the difference in growth kinetics between primary Si and α-Al dendrites. Accordingly, an apparent eutectic composition shifted from 12.6 to 19.7 wt% Si. The atypical microstructural formation led to a significant improvement in the tensile properties: the ultimate tensile strength of 400 MPa and fracture strain of 17%. These tensile properties are more than twice those of the conventional cast hypereutectic Al–14.5Si alloy. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0016-7037 430 2026 Pervasive and rapid enrichment of nitrogen in newly erupted oceanic basalt 249 262 EN Juan Felipe Bustos-Moreno Department of Earth and Environmental Sciences, Lehigh University Tobias B. Weisenberger Geology and Sustainable Mining Institute, University Mohammed VI Polytechnic Ryoji Tanaka The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University Hiroshi Kitagawa The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University Gray E. Bebout Department of Earth and Environmental Sciences, Lehigh University The alteration of oceanic crust by seawater is a critical sink in the global nitrogen (N) cycle, yet the mechanisms and timescales of N enrichment remain poorly constrained. We present N concentrations and isotope compositions from a 192-meter drill core (SE-02b) retrieved from the then 50-year-old Surtsey Island in Iceland, a pristine analog for rapid alteration of young oceanic basalt. The altered basaltic tuffs show significant N enrichment (average 11 ± 8 μg/g), relative to unaltered Icelandic basalt glasses (0.028 ± 0.026 μg/g) and MORB (∼1.1 to 1.5 μg/g), matching the global average for altered oceanic crust (11 μg/g; ranging in ages from 5 to 170 Ma). Nitrogen isotope compositions (δ15Nair = −1.7 ± 4.6‰) are primarily consistent with incorporation of seawater- and meteoric-derived ammonium (NH4+), more likely into secondary K-minerals, palagonitized glass and smectites throughout the core. To a lesser extent, N could be incorporated into Na/Ca-minerals such as analcime in the meteoric water altered zone and sulphates such as anhydrite and gypsum when present. Incorporation of NH4+ into secondary phases occurs with little isotope fractionation consistent with equilibrium fractionation between clay and aqueous NH4+. We demonstrate that seawater-rock interaction alone can produce the ubiquitous background N enrichment of the oceanic crust without the addition of remobilized N from sedimentary sources. Such magnitude of enrichment is also observed via meteoric water alteration. Localized high enrichments in N in areas of enhanced fluid flow at core SE-02b with exceptionally low δ15N values (as low as −20.1‰), are attributed to abiotic reduction of dissolved N2 under anoxic conditions and/or microbial activity. We propose that N incorporation into the oceanic crust can occur rapidly in days to decades rather than at a constant rate over geologic time. This has major implications for N transfer in subduction zones, N exchange between the oceanic crust, seawater and the atmosphere and for planetary habitability. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0376-7388 757 2026 Multi-criteria evaluation of graphene oxide nanofiltration membranes for decaffeination 125992 EN Yihan Tian School of Materials Science and Engineering, University of New South Wales Tongxi Lin School of Materials Science and Engineering, University of New South Wales Yuta Nishina Research Institute for Interdisciplinary Science, Okayama University Xiaojun Ren School of Materials Science and Engineering, University of New South Wales Rakesh Joshi School of Materials Science and Engineering, University of New South Wales Nanofiltration (NF) offers a promising low-energy approach for producing decaffeinated instant coffee, while requires membranes that balance caffeine removal, water permeance, and retention of key coffee matrix compounds. Here, graphene oxide membranes (GOMs) were modified by sodium alginate (SA) intercalation, Ca2+ crosslinking, and their combined strategy to tune nanochannel structure and separation performance. The results show that membrane modification does not follow a simple monotonic trend; instead, small structural and chemical changes generate competing effects on permeance and selectivity through coupled transport, adsorption, and confinement mechanisms. To identify the most suitable membrane, a multi-criteria evaluation framework (MCEF) combining entropy weighting and TOPSIS was established using five key performance indicators: caffeine removal, flavour-related marker retention index, choline retention, water permeance, and concentration increase. This framework identified CGSM-1 as the best-performing flat membrane, which also showed promising performance in hollow-fibre form. In coffee filtration tests, CGSM-1 reduced caffeine concentration from 24.64 to 12.95 μg/mg, corresponding to a 47.4% reduction, while retaining measurable levels of HMF, trigonelline, NMP, and choline. These findings demonstrate the potential of engineered GOMs for selective caffeine reduction in coffee liquor and provide a practical evaluation strategy for membrane-based decaffeination. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 1738-5733 59 1 2027 Impact of correcting beam hardening and detector response function in photon-counting X-ray imaging when using anti-coincidence mode 104678 EN Hiroaki Hayashi College of Transdisciplinary Sciences for Innovation, Kanazawa University Rina Nishigami Graduate School of Medical Sciences, Kanazawa University Daiki Kobayashi Graduate School of Medical Sciences, Kanazawa University Takuya Kasue Graduate School of Medical Sciences, Kanazawa University Natsumi Kimoto Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University Takashi Asahara Department of Radiological Technology, Faculty of Health Sciences, Okayama University X-ray imaging using photon-counting detectors (PCDs) allows for the calculation of quantitative images such as the effective atomic number (𝑍eff). However, physical phenomena such as characteristic X-ray emission and charge sharing can cause incomplete total absorption events during signal generation, which reduces the accuracy of X-ray penetration analysis. To solve the problem, an anti-coincidence mode (ACM) has been developed, but complete correction has not been established. We aimed to investigate the accuracy of 𝑍eff image when the proposed software-based corrections, namely beam hardening and response function corrections, are added to the hardware-based correction of the ACM. The response function was calculated using the Monte-Carlo simulation code. In a simulation study, we analyzed a phantom composed of virtual materials with 𝑍eff values of 4–16. While sufficient accuracy cannot be achieved by applying only the ACM, it was demonstrated that low-noise 𝑍eff images can be obtained by applying our correction. Furthermore, it was demonstrated that 𝑍eff images of food samples can be generated by using actual non-destructive testing equipment with a 10 m/min transportation speed. In conclusion, our correction procedure can maximize the performance of PCDs, and our findings are essential for promoting imaging techniques concerning quantitative images. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2198-4034 12 1 2026 Development of a preoperative accuracy prediction model using machine learning for implant placement in static-guided surgery: retrospective observational study 44 EN Takuya Mino Department of Removable Prosthodontics and Occlusion, School of Dentistry, Osaka Dental University Yurina Matsuoka Department of Semiconductor, Computer Science and Applied Mathematics, Graduate School of Science and Technology, Kumamoto University Ken’ichi Morooka Division of Biomedical Engineering, Faculty of Advanced Science and Technology, Kumamoto University Kana Tokumoto Department of Oral and Maxillofacial Surgery, School of Medicine, Hyogo Medical University Hiroaki Shimizu Shimizu Dental Clinic Yoko Kurosaki Department of Removable Prosthodontics and Occlusion, School of Dentistry, Osaka Dental University Aya Kimura-Ono Center for Innovative Clinical Medicine, Okayama University Hospital Hiromitsu Kishimoto Department of Oral and Maxillofacial Surgery, School of Medicine, Hyogo Medical University Takuo Kuboki Department of Oral Rehabilitation and Regenerative Medicine, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences Kenji Maekawa Department of Removable Prosthodontics and Occlusion, School of Dentistry, Osaka Dental University Purpose This study aimed to develop a machine learning model capable of preoperatively predicting three-dimensional implant placement errors at the implant apex in static-guided surgery and to identify the clinical features associated with placement accuracy.<br> Methods Clinical data partially derived from a previous observational study were analyzed. In total, 181 patients and 480 implants placed using fully static-guided surgery were included in this study. The outcome variable was defined as three-dimensional implant placement error at the implant apex relative to the preoperative simulation, dichotomized as less than 0.5 mm or ≥ 0.5 mm. Twenty-one clinical and radiographic factors previously suggested to influence the placement accuracy were used as explanatory variables. The feature importance was evaluated using three gradient boosting decision tree models. Furthermore, a stacking model combining multiple classifiers was constructed, and the classification performance was assessed using ten-fold cross-validation.<br> Results The feature importance analysis identified 12 features associated with implant placement errors. The stacking model demonstrated superior classification performance compared to individual classifiers. The true positive rate was 0.73, false negative rate was 0.27, false positive rate was 0.14, and true negative rate was 0.86.<br> Conclusions The proposed stacking model correctly classified 86% of cases with implant placement error less than 0.5 mm and 73% of cases with implant placement error of ≥ 0.5 mm. These findings suggest that the proposed model may support the preoperative evaluation of implant placement accuracy in static-guided surgeries. No potential conflict of interest relevant to this article was reported.

American Society for Microbiology Acta Medica Okayama 2165-0497 14 9 2026 Combinations of long terminal repeat and tax protein substitutions influence bovine leukemia virus transmission through altered viral productivity e0086926 EN Hironobu Murakami School of Veterinary Medicine, Azabu University Reiichiro Sato Graduate School of Medicine and Veterinary Medicine, University of Miyazaki Jumpei Uchiyama Department of Infectious Diseases, Graduate School of Medicine Dentistry and Pharmaceutical Sciences, Okayama University Kazuyuki Sogawa School of Life and EnvironmentaScience, Azabu University Hiroho Ishida School of Veterinary Medicine, Azabu University Makoto Nagai School of Veterinary Medicine, Azabu University Bovine leukemia virus (BLV) infection imposes a substantial economic burden on the global cattle industry. Although proviral load (PVL) in blood influences transmission, the effects of viral genetic variations, including the high viral production-associated long terminal repeat (LTR) substitution at nucleotide position 175 (LTR175), on herd-level dynamics remain unclear. This study investigated the effects of specific substitutions on the regulation of viral productivity and transmission. Longitudinal monitoring of a single farm (herd size: 50–68 cows; 438 samples collected) over a 7-year period revealed that viral strains carrying cytosine at LTR175 (LTR175C) significantly increased in frequency, becoming dominant over wild-type strains carrying thymidine. In contrast, amino acid substitutions in the Tax protein at positions 69 (Tax69) and 73 (Tax73) modified viral transactivation independent of LTR175. Structural modeling via AlphaFold2 predicted that Tax69 and Tax73 mutations alter protein properties, suggesting modulation of transactivation activity. Consistent with this prediction, in vitro assays confirmed that the substitutions modified viral production by regulating transactivation independent of LTR175. Moreover, high viral-productivity haplotypes containing LTR175C and Tax73Q (glutamine at amino acid residue 73) exhibited a transmission advantage within the herd, even when host PVL levels were not significantly elevated. These findings suggest that cellular-level viral productivity is one of the key determinants of transmission fitness. Overall, this study revealed a regulatory interaction between the LTR and Tax protein that optimizes viral spread and highlights the need for control strategies that account for viral genetic substitutions. No potential conflict of interest relevant to this article was reported.

一般社団法人 電気学会 Acta Medica Okayama 0385-4221 146 9 2026 多様な電力消費形態を考慮したスマートグリッド運用の最適化 864 876 EN Takaki Kawamoto Faculty of Environmental, Life, Natural Science and Technology, Okayama University Yuriko Toda School of Creative Science and Engineering, Waseda University Takashi Hasuike School of Creative Science and Engineering, Waseda University 　This study examines an optimal operation model for a smart grid composed of multiple microgrids to promote renewable energy use in Japan. In Japan, about 70% of electricity is still supplied by fossil fuel power, while renewables account for only 18% despite a 36–38% target for 2030. Using demand and photovoltaic data from Setagaya Ward, we construct a system model with factory/office and residential microgrids and formulate a mathematical optimization model that considers power interchange, batteries and heat storage. Numerical experiments based on several case studies show the effectiveness of smart grid operation designed according to the proposed model in promoting renewable energy utilization and reducing total generation cost. In particular, the results show that increasing photovoltaic capacity, increasing the number of microgrids, and considering heat demand are all effective measures. However, these benefits depend on the season. Future work should extend the system model to account for seasonal variability and associated investment costs. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 2666-5174 11 2026 Interbacterial antagonism mediates plant growth modulation by rhizosphere synthetic communities in barley 100639 EN Md Asif Mahamud Institute of Plant Science and Resources, Okayama University Rungnapa Pichaikarn School of Science, Walailak University Muhammad Ammar Latif Institute of Plant Science and Resources, Okayama University Takakazu Matsuura Institute of Plant Science and Resources, Okayama University Izumi C Mori Institute of Plant Science and Resources, Okayama University Daisuke Saisho Institute of Plant Science and Resources, Okayama University Pakpimol Ungcharoenwiwat School of Science, Walailak University Akio Tani Institute of Plant Science and Resources, Okayama University Microbial communities in plant roots are shaped by complex interbacterial interactions, yet how these interactions translate into plant fitness remains poorly understood. In this study, 127 bacterial isolates were obtained from barley (Hordeum vulgare L.) roots of two cultivars grown in a non-fertilized field, representing 45 genera and 72 species. Screening identified isolates with growth-promoting, growth-reducing, and neutral phenotypes. Co-inoculation experiments using synthetic communities (SynComs) demonstrated that growth-promoting isolates effectively cancelled the inhibitory effects of growth-reducing isolates on barley seedling growth. Mechanistic investigation revealed that growth-promoting isolates Variovorax sp. 14F-2.1 and Pseudomonas sp. 37A kill growth-reducing isolates Flavobacterium sp. 2D-1 through direct cell-to-cell contact. Deletion of the Type VI secretion system (T6SS) gene tssA in Variovorax sp. 14F-2.1 substantially reduced this activity, implicating T6SS as a key antagonistic mechanism. Phytohormone profiling revealed that growth-promoting and neutral isolates, but not growth-reducing isolates, produce cytokinins, and only Variovorax sp. 14F-2.1 could degrade IAA, suggesting a potential hormonal basis for differential growth effects. A two-year field microbiome study showed that fertilization regimen and seasonal sampling times were dominant drivers of rhizosphere community composition, while bacterial inoculation had limited and inconsistent effects on microbial diversity and plant growth under field conditions. These results demonstrate that interbacterial antagonism is a key determinant of community-level plant growth outcomes and highlight the complexity of translating laboratory inoculant effects to field settings. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 1616-301X 2026 Biomineral-Inspired Organic/Inorganic Colloidal Liquid-Crystalline Hybrids for Photoresponsive Adhesion e77420 EN Junya Uchida Research Institute for Interdisciplinary Science, Okayama University Ryuta Kiguchi Department of Chemistry and Biotechnology School of Engineering, The University of Tokyo Riki Kato Research Institute for Interdisciplinary Science, Okayama University Yuta Nishina Research Institute for Interdisciplinary Science, Okayama University Takashi Kato Research Institute for Interdisciplinary Science, Okayama University Bioinspired hybrid nanostructures offer a promising strategy for developing dynamic functional materials. Herein, we report a new class of photoresponsive liquid-crystalline (LC) adhesives based on organic/inorganic nanostructured colloidal hybrids. These LC materials are composed of a biomineral-inspired hydroxyapatite (HAp) nanorod and azobenzene-based forklike molecules. The organic/inorganic LC hybrids exhibit unusual photo-enhanced adhesion upon photoinduced order–disorder phase transitions of these LC materials. The photoresponsive adhesion functions of the colloidal LC hybrids are tuned by spacer moieties of the forklike molecules as well as mixing of the hybrids with the forklike molecules. The reversible photo-enhanced adhesion of the LC hybrids is achieved when the forklike molecule having oligooxyethylene spacers is hybridized with the HAp nanorod. The flexible oligooxyethylene spacers of the forklike molecule are effective for the formation of less ordered packing of the azobenzene units in the LC hybrids, which enables the dynamic photoresponsive functions. We propose an approach to the development of bioinspired photoresponsive LC materials through self-assembly of functional organic molecules and biomineral-based colloidal hybrids. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 1648-9144 62 7 2026 Diabetes Burden in the Middle East and North Africa Region, 1990–2023: An Ecological Time-Trend Analysis of GBD Estimates 1352 EN Hanane Ouddoud Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University Judah Israel Ong Lescano Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University Keith Pardillada Belangoy Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University Yoshito Nishimura Division of Hematology and Oncology, Mayo Clinic Ko Harada Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai Hideharu Hagiya Department of Infectious Diseases, Okayama University Hospital Quynh Thi Vu Faculty of Pharmacy, Haiphong University of Medicine and Pharmacy Naohiro Iwata Department of Pharmacy, Okayama University Hospital Tsukasa Higashionna Department of Pharmacy, Okayama University Hospital Tatsuaki Takeda Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University Yoshito Zamami Department of Pharmacy, Okayama University Hospital Toshihiro Koyama Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University Background and Objectives: The Middle East and North Africa (MENA) region has one of the highest age-standardized diabetes prevalence rates globally, yet all-age, diabetes-specific evidence incorporating GBD 2023 estimates through 2023 remains limited. Materials and Methods: Using Global Burden of Disease (GBD) 2023 estimates for 21 MENA countries from 1990 to 2023, this ecological time-trend analysis quantified 33-year trends in incidence, prevalence, mortality, and disability-adjusted life-years (DALYs); compared pre-2019 and post-2019 trajectories using joinpoint regression; characterized age- and sex-specific burden patterns; and quantified contributions of modifiable risk factors. Results: Age-standardized incidence increased 92%, from 251.7 (95% uncertainty interval [UI]: 231.5 to 272.4) to 482.5 (95% UI: 451.5 to 516.4) per 100,000, and prevalence more than doubled, from 5564 (95% UI: 5088 to 6024) to 11,247 (95% UI: 10,382 to 12,132) per 100,000. In 2023, males exhibited higher DALY rates than females in most adult age groups from age 15 years onward, shifting away from the female-predominant pattern seen in 1990; female rates remained higher at several of the oldest age groups. Children aged 0 to 14 years were the only group with declining DALY rates (−52% to −57%). Post-2019 incidence was higher in 15 of 21 countries, and six countries had higher DALY trends with non-overlapping confidence intervals. Because we only have four to five years of data, these short trends are preliminary and require care when evaluating. High body-mass index was the leading modifiable risk factor. Conclusions: These data support country-specific prevention and chronic-care strategies across the MENA region. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0001-8686 358 2026 Revisiting particle formation beyond classical nucleation: A unified classification framework for nonclassical pathways 104018 EN Yuya Iida Faculty of Environmental, Life, Natural Science and Technology, Okayama University Satoshi Watanabe Department of Chemical Science and Engineering, Kyoto University Particle formation is pervasive in both nature and technology, shaping environmental and biological phenomena while underpinning a broad range of industrial products. A mechanistic understanding of particle formation is therefore important both for fundamental science and for the design of particle properties. It is now well established that particle formation can proceed through diverse pathways beyond classical one-step nucleation. At the same time, the proliferation of reported nonclassical pathways has blurred the distinctions among mechanistic categories and obscured their underlying relationships. In this review, we revisit the development of concepts in particle formation pathways and present a unified perspective on this increasingly complex mechanistic landscape. To this end, we classify the nonclassical features of particle formation along three conceptual axes: stepwise transitions between phases or phase-like fluctuations, chemically driven formation of structural units, and aggregation-dominant nucleation and growth processes. This framework places diverse pathways within a common three-dimensional space referenced to classical nucleation, providing a basis for comparing apparently distinct mechanisms within a single picture. We further discuss representative theoretical descriptions in relation to these axes and outline future challenges. No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers (IEEE) Acta Medica Okayama 2169-3536 14 2026 A Novel Approximate Solution Method for Euclidean Steiner Tree Problem Based on Genetic Algorithm 122947 122962 EN Liping Zhang Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Tsuyoshi Migita Faculty of Environmental, Life, Natural Science and Technology, Okayama University Norikazu Takahashi Faculty of Environmental, Life, Natural Science and Technology, Okayama University A novel approximate solution method for the Euclidean Steiner tree problem is proposed and its performance is demonstrated through experiments using 195 benchmark problem instances from the OR-Library. Given a finite number of terminal points, the proposed method first generates non-terminal points around each terminal point and at the same location as the Steiner point for each triangle obtained by the Delaunay triangulation for all terminal points. It next runs a genetic algorithm to select a subset of the generated non-terminal points, aiming to minimize the total edge length of a minimum spanning tree for all the terminal points and the selected non-terminal points. It then optimizes the locations of the non-terminal points in the tree using Weiszfeld’s method, while preserving the topology. It finally refines the tree by adding new non-terminal points, adding and removing edges, and optimizing the locations of all non-terminal points. The experimental results show that, among 150 benchmark problem instances with known optimal solutions, the proposed method successfully constructs a Euclidean Steiner tree for 61 instances. For the remaining 89 instances, it produces an approximate solution whose total edge lengths is less than 100.7% of the optimal. The experimental results also show that the proposed method obtains approximate solutions efficiently: within 1.5 seconds for instances with up to 100 terminal points and within 61 seconds for instances with up to 1,000 terminal points. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2072-6694 18 5 2026 The New Era of Intraperitoneal Carboplatin in Ovarian Cancer: From Biological Rationale to Clinical Implementation 764 EN Shoji Nagao Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Atsushi Fujikawa Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Yui Tanaka Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Momoko Tanioka Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Ryoko Imatani Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Yoshinori Tani Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Hanako Sugihara Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Kazuhiro Okamoto Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Hirofumi Matsuoka Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Naoyuki Ida Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Junko Haraga Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Chikako Ogawa Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Hisashi Masuyama Department of Obstetrics and Gynecology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Epithelial ovarian cancer is predominantly characterized by peritoneal dissemination, providing a strong biological rationale for intraperitoneal (IP) chemotherapy. Although IP cisplatin-based regimens have demonstrated substantial survival benefits in pivotal randomized trials, toxicity and catheter-related complications limit their widespread adoption. IP carboplatin has emerged as a pragmatic alternative with improved tolerability while preserving its pharmacokinetic advantages. This review summarizes the biological and pharmacological rationale for IP carboplatin and critically examines the clinical evidence, with a particular emphasis on the Intraperitoneal Carboplatin for Ovarian Cancer (iPocc) trial and its divergence from Gynecologic Oncology Group (GOG)-252. We further discuss the potential applicability of IP carboplatin beyond the traditional setting of minimal residual disease, including patients undergoing neoadjuvant chemotherapy and interval debulking surgery, as well as its possible use in the contemporary era of maintenance therapy. Collectively, the accumulated evidence supports renewed consideration of IP carboplatin as a versatile component in modern ovarian cancer management. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 0024-6093 58 8 2026 On Nielsen equivalence classes of two‐element generators of mapping class groups e70454 EN Susumu Hirose Department of Mathematics, Faculty of Science and Technology, Tokyo University of Science Naoyuki Monden Department of Mathematics, Faculty of Science, Okayama University We show that there are infinitely many Nielsen equivalence classes of the mapping class group of a closed oriented surface of genus at least eight. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 2949-6780 8 2026 Immersion is not enough: Design quality as the key determinant of perceived effectiveness and usage intention in educational virtual reality 100152 EN Achmad Samsudin Universitas Pendidikan Indonesia Muhammad Zahran Okayama University Eki Nugraha Universitas Pendidikan Indonesia Hadi Nasbey Universitas Negeri Jakarta Mustafa Sozbilir Atatürk University Nor Farahwahidah Abdul Rahman Universiti Teknologi Malaysia Takashi Irie Okayama University Immersive technologies such as Virtual Reality (VR) are increasingly used to support conceptual understanding in science education, yet perceived learning benefits depend on the quality of system design rather than immersion alone. This study investigates how four design-quality dimensions—Visual and Technological Design (VT), Aesthetic Quality (AQ), Curriculum Alignment (CA), and Digital Feasibility (DF)—influence learners' Perceived Effectiveness (PE) and Intention to Use (IU) the VARIASI VR simulation, which visualizes particle behavior across phase states of matter. Using an explanatory sequential mixed-methods design, quantitative data from 60 participants were analyzed using PLS-SEM, followed by reflexive thematic analysis of open-ended responses. Results show that VT, AQ, CA, and DF each significantly predict PE, demonstrating that learners' perception of effectiveness depends on the coordinated alignment of conceptual clarity, emotional resonance, and system reliability. However, none of these dimensions directly predicted IU, and the PE → IU relationship was positive but marginal, reflecting learners’ need for procedural guidance and comfort to sustain voluntary adoption. Qualitative findings reveal that while VR enhanced conceptual clarity and engagement, continued use depended on familiarity, scaffolding, and physical comfort. The study highlights that effective VR-based science learning experiences emerge when immersive environments are not only well-designed but pedagogically framed to support confidence and sustained use. No potential conflict of interest relevant to this article was reported.

American Society for Microbiology Acta Medica Okayama 2165-0497 2026 Escalation of CTX-M-producing extensively drug-resistant Shigella spp. in Kolkata, India, following the COVID-19 pandemic e02824-25 EN Puja Bose Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections Gourab Halder Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections Pratanu Kayet Division of Bioinformatics, ICMR-National Institute for Research in Bacterial Infections Goutam Chowdhury Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections Surajit Basak Division of Bioinformatics, ICMR-National Institute for Research in Bacterial Infections Deboleena Roy Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections Daisuke Imamura Research Center for Intestinal Health Science, Okayama University Shin-ichi Miyoshi Research Center for Intestinal Health Science, Okayama University Masatomo Morita Department of Bacteriology I, National Institute of Infectious Diseases Thandavarayan Ramamurthy Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections Hemanta Koley Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections Santasabuj Das Division of Clinical Medicine, ICMR-National Institute for Research in Bacterial Infections Asish Kumar Mukhopadhyay Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections Shigella spp. is recognized by the World Health Organization as a high-priority pathogen due to its global prevalence, unique pathogenic mechanisms, and growing antimicrobial resistance (AMR). Nearly half of all Shigella strains worldwide are now multidrug-resistant (MDR), and the emergence of extensively drug-resistant (XDR) variants—resistant to ciprofloxacin, ceftriaxone, and azithromycin—has severely limited effective treatment options. The present study is based on prospective laboratory surveillance involving 323 Shigella isolates collected during 2021–2023, with pre-COVID-19 pandemic data included from a previously published study solely for historical comparison. The presence of antibiotic resistance genes (ARGs) was investigated, and whole-genome sequencing (WGS) was performed on representative isolates to assess phylogenetic relatedness with global isolates. Approximately 10% of isolates exhibited resistance to third-generation cephalosporins. While only 3% of Shigella isolates carried the blaCTX-M-15 gene from 2013 to 2019, its prevalence increased to 26% by 2022–2023. Among 38 ceftriaxone-resistant S. sonnei isolates, 33 were also resistant to azithromycin, categorizing them as XDR. These isolates showed 48% clonal similarity and high phylogenetic resemblance to the isolates reported from England. Hybrid genome assembly revealed a plasmid harboring both the blaCTX-M-15 and mphA ARGs. Conjugation experiments and plasmid profiling confirmed the plasmid’s transferability. We report a rising trend in third-generation cephalosporin resistance among Shigella spp., primarily driven by the spread of extended-spectrum β-lactamase-producing S. flexneri and the emergence of XDR S. sonnei. These findings underscore the urgent need for strengthened national AMR containment strategies and enhanced international surveillance of cephalosporin-resistant Shigella to mitigate this growing public health threat. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 1078-8174 32 6 2026 Students’ perceptions of an electronic one-minute paper in a radiography training programme: An exploratory cross-sectional questionnaire study 103486 EN Y. Komatsu Division of Radiological Technology, Graduate School of Health Sciences, Okayama University S. Abe Department of Radiological Technology, Faculty of Health Care Sciences, Jikei University of Health Care Sciences S. Tsudou Department of Radiological Technology, Faculty of Health Care Sciences, Jikei University of Health Care Sciences Y. Yamamoto Division of Radiological Technology, Graduate School of Health Sciences, Okayama University Y. Tanabe Faculty of Health Sciences, Department of Radiological Technology, Okayama University Medical School, Okayama University Introduction: Formative assessment can support health professions education; however, reports on electronic 1-min papers as classroom feedback and engagement tools in radiography programmes remain limited. This study explored radiography students’ perceptions of an electronic 1-min paper, focusing on in-class reflection, ease of asking questions, and instructor feedback.<br> Methods: An electronic 1-min paper was used in a radiotherapy course across 45 class sessions in the 2024 academic year for third-year students enrolled in a 4-year radiography programme. Each 90-min class comprised a 60-min lecture, 10-min completion of the paper, and 20-min instructor feedback. After the course, a de-identified online questionnaire was administered. Eleven 5-point Likert-scale items were analysed using descriptive statistics and Spearman's rank correlations. Free-text responses were analysed using inductive qualitative content analysis.<br> Results: Of the 77 eligible students, 74 responded (96.1%). Ease of use received the highest rating (mean, 4.76; standard deviation [SD], 0.52), followed by ease of asking questions (mean, 4.32), question resolution (mean, 4.16), and usefulness of instructor feedback (mean, 4.08). Motivation to review after class was lowest (mean, 3.04; SD, 1.16). Active participation showed a strong positive association with in-class concentration (rs = 0.815; P < 0.001). Free-text responses indicated reflection and improved understanding, anonymous sharing of questions, active listening and concentration, and suggestions for improvement.<br> Conclusion: The electronic 1-min paper was widely accepted and perceived to support in-class reflection, question expression, and immediate feedback. However, students’ perceptions of its influence on out-of-class review motivation were limited. The findings indicate perceived value and engagement rather than demonstrated educational effectiveness.<br> Implications for practice: Electronic 1-min papers may help instructors identify students’ questions and respond during class, providing a practical approach to in-class feedback. No potential conflict of interest relevant to this article was reported.

American Society for Clinical Investigation Acta Medica Okayama 1558-8238 136 10 2026 Spatial single-cell proteotyping reveals immunotherapy-resistant features within the complex tumor microenvironment of metastatic NSCLC e195021 EN Kohsuke Isomoto Department of Medical Oncology, Kindai University Faculty of Medicine Koji Haratani Department of Medical Oncology, Kindai University Faculty of Medicine Takahiro Tsujikawa Department of Otolaryngology–Head and Neck Surgery, Kyoto Prefectural University of Medicine Shuta Tomida Center for Comprehensive Genomic Medicine, Okayama University Hospital Yusuke Makutani Department of Surgery, Kindai University Faculty of Medicine Masayuki Takeda Department of Medical Oncology, Kindai University Faculty of Medicine Kimio Yonesaka Department of Medical Oncology, Kindai University Faculty of Medicine Kaoru Tanaka Department of Medical Oncology, Kindai University Faculty of Medicine Tsutomu Iwasa Department of Medical Oncology, Kindai University Faculty of Medicine Kazuko Sakai Department of Genome Biology, Kindai University Faculty of Medicine Kazuto Nishio Department of Genome Biology, Kindai University Faculty of Medicine Akihiko Ito Department of Pathology, Kindai University Faculty of Medicine Kazuhiko Nakagawa Department of Medical Oncology, Kindai University Faculty of Medicine Hidetoshi Hayashi Department of Medical Oncology, Kindai University Faculty of Medicine BACKGROUND. Immune checkpoint inhibitors (ICIs) targeting the programmed cell death 1 axis have revolutionized metastatic non–small cell lung cancer (mNSCLC) treatment. However, disease progression remains a concern, and the role of the complex tumor microenvironment (TME) in treatment failure is not fully understood.<br> METHODS. In this biomarker study involving 103 patients with mNSCLC, including 81 patients who received ICI treatment, we evaluated the association between heterogeneous immune cell subsets and ICI efficacy through single-cell spatial profiling of pretreatment tumor tissue, using a 29-marker multiplex IHC platform built for in-depth dissection of the TME.<br> RESULTS. Among various types of intratumoral lymphocytes, including Th1, Treg, and NK cells, only CD8+ T cells (tumor-infiltrating lymphocytes [TILs]) were associated with ICI efficacy. Computational tissue segmentation underscored the importance of direct physical interactions between CD8+ TILs and cancer cells for ICI efficacy. TIL phenotyping identified CD39/CD103/Ki-67 positivity as a hallmark of exhausted yet functional tumor-reactive CD8+ TILs. Immunosuppressive tumor-associated macrophages (TAMs) and cancer-associated fibroblasts were independent unfavorable adversaries. High CD73 expression on cancer cells was suggested to confer tolerance to ICI in EGFR/ALK-oncogene+ NSCLC, potentially through M2-TAM accumulation and aberrant angiogenesis.<br> CONCLUSION. Our study delineates the clinical relevance of heterogeneous immune cell subsets in ICI-treated mNSCLC, aiding the development of targeted therapeutic strategies. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0022-0531 226 2025 Costly subjective learning 105997 EN Youichiro Higashi Faculty of Economics, Okayama University Kazuya Hyogo Faculty of Economics, Ryukoku University Norio Takeoka Department of Economics, Hitotsubashi University We examine the behavioral foundation of rational inattention within a menu-choice framework. Unlike previous studies, our approach enables the unique identification of nonadditive information costs. The nonadditivity of information costs makes the effective cost inherently dependent on benefits of information. In contrast to additive cost models, this feature may lead to a violation of the preference for early resolution of menu uncertainty. Early resolution is typically preferable as it allows the agent to fine-tune information for relevant menus. However, if the effective cost function is convex in benefits of information, late resolution may reduce the effective information costs. The violation occurs when this cost-reduction effect outweighs the benefits of early resolution. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0025-5831 392 1 2025 Global well-posedness and scattering in weighted space for nonlinear Schrödinger equations below the Strauss exponent without gauge-invariance 1051 1097 EN Masaki Kawamoto Research Institute for Interdisciplinary Science, Okayama University Satoshi Masaki Department of Mathematics, Hokkaido University Hayato Miyazaki Teacher Training Courses, Faculty of Education, Kagawa University In this paper, we consider the nonlinear Schrödinger equation (NLS) with a general homogeneous nonlinearity in dimensions up to three. We assume that the degree (i.e., power) of the nonlinearity is such that the equation is mass-subcritical and short-range. We establish global well-posedness (GWP) and scattering for small data in the standard weighted space for a class of homogeneous nonlinearities, including non-gauge-invariant ones. Additionally, we include the case where the degree is less than or equal to the Strauss exponent. When the nonlinearity is not gauge-invariant, the standard Duhamel formulation fails to work effectively in the weighted Sobolev space; for instance, the Duhamel term may not be well-defined as a Bochner integral. To address this issue, we introduce an alternative formulation that allows us to establish GWP and scattering, even in the presence of poor time continuity of the Duhamel term. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 On the stratification of combinatorial spectra 183 204 EN Ryo Horiuchi In this note, we investigate a mixture of combinatorial spectra and stratified simplicial sets, which would be thought of as a model of the spectrum objects of (∞,∞)-categories. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 Local cohomology of ideals and the Rn condition of Serre 175 181 EN Tony J. Puthenpurakal Department of Mathematics, IIT Bombay Let R be a regular ring of dimension d containing a field K of characteristic zero. If E is an R-module let Assi E = {Q ∈ AssE | heightQ = i}. Let P be a prime ideal in R of height g. We show that if R/P satisfies Serre’s condition Ri then Assg+i+1 Hg+1P(R) is a finite set. As an application of our techniques we prove that if P is a prime ideal in R such that (R/P)q is regular for any non-maximal prime ideal q then HiP(R) has finitely many associate primes for all i. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 Wronskian theory revisited from a linear algebraic and null space viewpoint 147 174 EN Tomomichi Hagiwara Department of Electrical Engineering Graduate School of Engineering Kyoto University This paper aims at providing a new fundamental framework for the Wronskian theory by paying attention to the null space of the Wronski matrix. It is first shown that identical vanishing of the Wronskian leads to two different representations of vector-valued functions that lie in the null space of the Wronski matrix. It is further shown that they are algebraically linearly dependent, by which we are immediately led to a key identity in the Wronskian theory, derived only through very simple linear algebraic arguments. Most fundamental results on the Wronskian theory available in the literature can thus be obtained in a quite straightforward fashion with a very clear perspective, and hence the relevant arguments are believed to be of pedagogical value, too. Some further issues relevant to the null space viewpoint are also discussed, where some other results available in the literature are derived through the null space viewpoint in a somewhat strengthened form. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 Matijevic-Roberts type theorems, Rees rings and associated graded rings 139 146 EN Jun Horiuchi Department of Mathematics, Nippon Institute of Technology Kazuma Shimomoto Department of Mathematics, Institute of Science Tokyo The aim of this article is to investigate interrelated structures lying among three notable problems in commutative algebra. These are Lifting problem, Ascent/descent along associated graded rings, and Matijevic-Roberts type problem. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 Resolution theorem of the algebraic K-theory and its applications 113 137 EN Mariko Ohara Center for Liberal Arts and Sciences Faculty of Engineering Toyama Prefectural University The main objective is showing a variant of resolution theorem of connective Waldhausen K-theory in suitable situations. We construct two sequences of subcategories, one is consisting of finitely generated symmetric module spectra which satisfy the condition of the resolution theorem and the other is consisting of the corresponding ∞-subcategories of certain finitely generated module spectra. As an application, we construct a sequence of subcategories consisting of certain DG-modules satisfying the condition of a resolution theorem. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 Retract problem and a subset admitting complete Boolean algebra structure of monoidally distributive posets 89 111 EN Ryo Kato Department of Core Studies, Kochi University of Technology In [3], Hovey and Palmieri proved many interesing results around the Bousfield lattice of the stable homotopy caregory of spectra. In [4], the author, Shimomura and Tatehara defined monoidally distributive posets as a generalization of the Bousfield lattice. In this paper, we consider the retract problem and a subset admitting complete Boolean algebra structure of monoidally distributive posets. In the last section, we see that some results in [3] are given by our results in this paper. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 On groups of units of commutative finite rings 77 87 EN Chiteng’a John Chikunji Department of Biometry and Mathematics, Botswana University of Agriculture and Natural Resources Let R be a commutative completely primary finite ring with unique maximal ideal J such that J3 = {0} and J2 ̸= {0}. In this paper, we investigate and determine the structure of the group of units U(R) of the ring R of characteristic p3 without giving any conditions on the generators for the maximal ideal J or on the invariants of the ring R. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 The Dijkgraaf-Witten invariants from second Chern classes 63 75 EN Takefumi Nosaka Department of Mathematics, Tokyo Institute of Technology Given a 3-cocycle ψ in the cohomology of a finite group G, we can define the Dijkgraaf-Witten invariant of closed 3-manifolds. In this paper, we focus on the case where ψ is a 3-cocycle systematically transferred from the second Chern class of a complex representation of G, and show some procedures for computing the invariant, and clarify its topological interpretation under some conditions. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 Natural homotopy of multipointed d-spaces 13 62 EN Philippe Gaucher Université Paris Cité, CNRS, IRIF We identify Grandis’ directed spaces as a full reflective subcategory of the category of multipointed d-spaces. When the multipointed d-space realizes a precubical set, its reflection coincides with the standard realization of the precubical set as a directed space. The reflection enables us to extend the construction of the natural system of topological spaces in Baues-Wirsching’s sense from directed spaces to multipointed d-spaces. In the case of a cellular multipointed d-space, there is a discrete version of this natural system which is proved to be bisimilar up to homotopy. We also prove that these constructions are invariant up to homotopy under globular subdivision. These results are the globular analogue of Dubut’s results. Finally, we point the apparent incompatibility between the notion of bisimilar natural systems and the q-model structure of multipointed d-spaces and we give some suggestions for future works. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 68 1 2026 Generator of the quadratic subextension of an odd dihedral extension 1 12 EN Toru Komatsu Department of Mathematics Faculty of Science and Technology Tokyo University of Science In this paper we present an algorithm to make a generator of the quadratic subextension of an odd dihedral extension. As an application we solve the Galois group problem for the quintic polynomials given by Kishi and Yamada. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2041-1723 16 1 2025 Grain boundary diffusion cannot explain the W isotope heterogeneities of the deep mantle 1866 EN Yihang Peng Department of Geosciences, Princeton University Takashi Yoshino Institute for Planetary Materials, Okayama University Jie Deng Department of Geosciences, Princeton University The low 182W/184W and high 3He/4He in some ocean island basalts compared to the bulk mantle values may derive from the Earth’s core through long-term core-mantle interactions. It has been proposed that the grain boundary diffusion of siderophile elements is an efficient mechanism for core-mantle interaction and may effectively modify the W isotopic compositions of the plume-source mantle. In this study, we perform large-scale molecular dynamics simulations driven by machine learning potentials of ab initio quality to investigate the diffusion of W along ferropericlase grain boundaries and in (Mg,Fe)O liquid. Here we show that the diffusion of W is sluggish under core-mantle boundary conditions, and thus is unlikely to have observable impacts on the W isotopic compositions of terrestrial igneous rocks. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2075-1729 16 6 2026 UGT76B1 and 41 Additional Arabidopsis UDP-Glycosyltransferases Show No Detectable In Vitro Glycosylation Activity Toward N-Hydroxypipecolic Acid 992 EN Jiyuan Bao Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Taiga Uchiyama Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Kazuki Kusunoki Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yuka Shinohara Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yurika Tanigawa School of Agriculture, Okayama University Megumi Watanabe Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Nanami Sakata Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Hidenori Matsui Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Kazuhiro Toyoda Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yuki Ichinose Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yoshiteru Noutoshi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University N-hydroxypipecolic acid (NHP) is a key mobile signal in systemic acquired resistance in plants, and its glycosylation has been proposed to regulate immune signaling. Previous studies have demonstrated that the UDP-glycosyltransferase UGT76B1, known as an SA glycosyltransferase in Arabidopsis thaliana, also catalyzes NHP glycosylation. In this study, we re-evaluated NHP glycosylation activity of UGT76B1 using an in vitro enzyme-coupled fluorescence assay that quantitatively detects UDP released during UDP-sugar-dependent glycosylation. Unexpectedly, our biochemical analyses demonstrated that UGT76B1 lacks genuine glycosylation activity toward NHP under the in vitro assay conditions tested, although this system clearly detected UGT76B1 activity toward salicylic acid (SA), as well as the activities of UGT74F1 and UGT72B1 toward SA and hydroquinone, respectively. To explore potential UGTs responsible for NHP glycosylation, we evaluated the enzymatic activities of 41 UGT candidates successfully expressed in Escherichia coli, which are selected based on transcriptomic responses to tenoxicam treatment, molecular docking simulations using AlphaFold3/AutoDock Vina, phylogenetic criteria, and previous reports. Within this selected and successfully expressed UGT panel, none exhibited authentic NHP glycosylation activity, although this does not preclude the possibility that other members of the Arabidopsis UGT family possess NHP glycosyltransferase activity. Our findings challenge the prevailing view that UGT76B1 is the primary glycosyltransferase for NHP in A. thaliana and indicate that NHP metabolism may rely on undiscovered non-canonical enzymes or distinct metabolic pathways that warrant further investigation. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0916-7005 43 2 2026 Machine learning prediction of the Madden–Julian oscillation using reservoir computing 25 EN Tamaki Suematsu RIKEN Center for Computational Science Kengo Nakai Graduate School of Environmental Life, Natural Science and Technology, Okayama University Tsuyoshi Yoneda Graduate School of Economics, Hitotsubashi University Daisuke Takasuka Department of Geophysics, Tohoku University Takuya Jinno Graduate School of Science, The University of Tokyo Yoshitaka Saiki Graduate School of Business Administration, Hitotsubashi University Hiroaki Miura Graduate School of Science, The University of Tokyo The prediction of the Madden–Julian Oscillation (MJO), a massive tropical weather event with global socio-economic impacts, has been infamously difficult with physics-based weather prediction models. We employ the reservoir computing, a brain-inspired machine-learning technique, to construct a machine learning model that forecasts the real-time multivariate MJO index (RMM), a macroscopic variable that represents the state of the MJO. The training data was refined by development of a novel real-time band-pass filter that extracts the recurrency of MJO signals only from the past raw atmospheric data, and by selection of a suitable time-delay coordinate of the RMM that enhances the recurrency of the input data. The constructed model demonstrated the skill to forecast the time sequence of the RMM for a month from pre-developmental stages of the MJO. Examination of best-performing cases suggested that RMM sequences may be predicted for over two months in some cases. These results imply that inherent predictability limit of the MJO is longer than that has been estimated from physics-based weather prediction models. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 2352-4928 51 2026 Optical spectroscopic evaluation on the acquisition of optimal sonication temperature for efficient liquid phase exfoliation of molybdenum disulfide 114910 EN Fatimah Az-Zahra Saravanan binti Abdullah School of Engineering and Physical Sciences, Heriot-Watt University Malaysia Wengnam Lee Foundation Center, Heriot-Watt University Malaysia Patrik Öhberg Institute of Photonics and Quantum Sciences, School of Engineering and Physical Sciences, Heriot-Watt University Boontong Goh Low Dimensional Materials Research Center, Department of Physics, Faculty of Science, University of Malaya Wuyi Chong Photonics Research Center, University of Malaya Harith Ahmad Photonics Research Center, University of Malaya Yasuhiko Hayashi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Takeshi Nishikawa Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yuenkiat Yap Foundation Center, Heriot-Watt University Malaysia This work investigates how the sonication temperature affects the liquid phase exfoliation of MoS₂ using optical and morphological approach in attempt to acquire an optimal temperature for such process at ambient room conditions. In an ultrasonic bath, exfoliation was carried out at six different temperatures. UV-Vis, FTIR, Raman spectroscopy and SEM characterizations reveal that moderate room temperature range yield excellent results producing well-dispersed flakes with strong excitonic properties with mild oxidation. Higher temperatures cause substantial oxidation, deterioration and restacking while lower temperatures led to insufficient exfoliation and fragmented morphologies because of insufficient cavitation energy. The findings highlight the importance of temperature control in producing high quality nanosheets for scalable applications. No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers (IEEE) Acta Medica Okayama 2169-3536 14 2026 Programmable Clock Distribution Using Switching Matrices for Field Programmable Gate Arrays 52641 52653 EN Ayumu Ogura Okayama University Minoru Watanabe Okayama University Nobuya Watanabe Okayama University Every digital systems using very large scale integration require clock distributions, for which a dedicated clock tree or a mesh clock is frequently used. Field programmable gate arrays have numerous general-purpose programmable wires based on switching matrices to connect the outputs and inputs of look-up tables and input–output ports. However, field programmable gate arrays never use numerous general-purpose programmable wires for their clock distributions to satisfy the clock skew margin similarly to very large scale integrations. Field programmable gate arrays also use dedicated clock trees, although their programmability is not high. Currently, field programmable gate arrays can support multiple dedicated clock routing or multiple clock trees. Unfortunately, the number of clock trees is fixed. They remain limited to a small number. Even if an application requires many clock distributions, such a clock distribution cannot be supported in current field programmable gate arrays. This paper therefore presents a proposal of a more flexible clock distribution method based on wiring channels and switching matrices. The method uses general-purpose programmable wires. In addition, to resolve clock skew increase difficulties, we have introduced a new flip-flop with a two-phase clock signal. This paper presents simulation results obtained using the proposed clock distribution method on an originally designed field programmable gate array. In addition, experimentally obtained results indicate that the proposed clock distribution method can function correctly on a Cyclone V field programmable gate array. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2227-7390 14 12 2026 Toward Convergence in Multi-Agent Reinforcement Learning: Best-Response Space Shrinking as a Sufficient Condition 2134 EN Natchanon Manatphaiboon Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Akito Monden Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Zeynep Yücel Department of Environmental Sciences, Informatics and Statistics, Ca’Foscari University of Venice We study convergence in multi-agent reinforcement learning (MARL) through the lens of sufficient conditions, using a single-point-of-failure analysis applied to multi-agent policy iteration integrated with linear programming (MAPI-LP), where results are proven for pure coordination games, and extension to broader settings is conjectured. We identify two sufficient conditions for convergence to Markov Perfect Equilibrium (MPE). The first is stability in best-response space that emerges from value monotonicity. The second, monotonic best-response space shrinking (MBRSS), is a novel condition requiring that each agent’s best-response space contracts monotonically across iterations until it collapses to a stable space. Furthermore, we show that MBRSS does not necessarily imply monotonic improvement in this setting. However, value monotonicity and stability in best-response space imply each other when a complementary condition is applied. Building on this hierarchical relationship, we propose conjectures on sufficient condition relationships in both serial and parallel MARL. In addition, we propose conjectures on generalized MBRSS to arbitrary finite repeated games and validation of stability in best-response space. We further discuss connections between MBRSS and existing related frameworks, and outline directions toward a taxonomy of sufficient conditions for MARL convergence. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0924-4247 408 2026 A flexible PVDF-based galloping flow sensor 117978 EN Mitsuki Kurose Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Takefumi Kanda Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yuya Sato Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Shuichi Wakimoto Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Daisuke Yamaguchi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Shinji Hiejima Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Takeji Ueda Hydro-VENUS Co., Ltd., Okayama University Effective monitoring of low flow velocities in small rivers and irrigation channels is hindered by the power requirements and maintenance costs of existing technologies. This study proposes a novel flexible piezoelectric polymer flow sensor utilizing galloping vibration to detect flow velocity in the low range (≤ 0.1 m/s). The sensor features a flexible cantilever structure composed of a silicone rubber beam embedded with a polyvinylidene fluoride (PVDF) film and a tip pillar. Unlike conventional devices based on flow-induced vibration, the use of low-stiffness materials enables the induction of self-excited vibration even under weak fluid forces. Computational fluid dynamics (CFD) analysis has been conducted to optimize the tip shape; a D-shaped semicylinder is selected over a cylinder and a square prism because the geometry maximizes the lift force per unit mass, ensuring efficient energy conversion. To predict sensor behavior, a coupled mechanical-fluid-electrical model was developed. Specifically, the model accounts for the static deflection angle caused by fluid drag. Water channel experiments demonstrated that sensors with beam thicknesses under 4 mm successfully generated stable periodic outputs at 0.1 m/s, a regime previously difficult for galloping-based devices. Conversely, thicker beam which has a thickness of 8 mm achieved higher outputs at higher velocities but failed to actuate at low speeds. Furthermore, the study showed a vibration suppression phenomenon in flexible beams at high flow velocities due to excessive static deflection, which was accurately reproduced by the analytical model. These findings establish structural stiffness as the critical design parameter for optimizing the operable velocity range of flow sensors. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0924-4247 408 2026 Tip position estimation of a 3-DOF soft mechanism using artificial muscles with optical fibers 117938 EN Rikimaru Okada Graduate School of Environment, Life, Natural Science and Technology, Okayama University Shuichi Wakimoto Graduate School of Environment, Life, Natural Science and Technology, Okayama University Yuichiro Toda Graduate School of Environment, Life, Natural Science and Technology, Okayama University Shun Miura Graduate School of Environment, Life, Natural Science and Technology, Okayama University Daisuke Yamaguchi Graduate School of Environment, Life, Natural Science and Technology, Okayama University Takefumi Kanda Graduate School of Environment, Life, Natural Science and Technology, Okayama University McKibben-type pneumatic artificial muscles (PAMs) are lightweight and flexible soft actuators with a high power-to-weight ratio, and have been widely applied to rehabilitation devices, power-assist systems, and soft robotic mechanisms. By integrating sensing functions into PAMs, their usability and controllability can be enhanced, enabling the development of more practical and advanced soft mechanisms. We previously proposed a smart artificial muscle (SAM) by integrating an optical fiber into the braided sleeve of a McKibben-type PAM, which enables displacement estimation by measuring optical bending loss. The SAM is compatible with conventional PAM fabrication processes; however, the sensor output exhibits strong nonlinearity and time dependency. In this study, an LSTM-based state estimation framework is extended from a single SAM to a three-degree-of-freedom soft mechanism composed of multiple SAMs, where strong nonlinear coupling and mutual interference arise among actuators. In the proposed framework, the LSTM model jointly processes time-series data of multi-channel optical sensor outputs and applied pressures of the three SAMs, along with past estimated states as inputs. This structure enables the model to capture nonlinear coupling, hysteresis, and time-dependent behavior, allowing estimation of the tip position of the soft mechanism. Experimental results demonstrate that the proposed method accurately captures complex nonlinear dynamics and mutual mechanical interference among multiple SAMs, achieving accurate tip position estimation. These results indicate that SAMs with integrated sensing and actuation capabilities, combined with machine-learning-based estimation, provide an effective approach for state estimation of multi-DOF soft robotic mechanisms. No potential conflict of interest relevant to this article was reported.

Hrvatski Sumarski Institut (Croatian Forest Research) Acta Medica Okayama 1849-0891 17 1 2026 Understory Vegetation Structure in Remnant Natural Forests and Acacia Plantations on Coastal Sand Dunes in North Central Vietnam 26007 EN Tuan Quoc Doan Okayama University, Graduate School of Environmental, Life, Natural Science and Technology Tetsuya K. Matsumoto Ibaraki University, Graduate School of Science and Engineering Tai Tien Dinh Hue Union of Science and Technology Associations (HUSTA) Hung Thai Le Hue University, University of Agriculture and Forestry Tuan Ngoc Anh Ho Hue Union of Science and Technology Associations (HUSTA) Naoko H. Miki Okayama University, Graduate School of Environmental, Life, Natural Science and Technology Hoang Thai Dac Ho Hue Union of Science and Technology Associations (HUSTA) Muneto Hirobe Okayama University, Graduate School of Environmental, Life, Natural Science and Technology In the coastal sand dune forests of North Central Vietnam, vegetation has been seriously damaged by war and overexploitation. To recover ecosystem functions, including sand stabilisation under harsh environments, exotic species like Acacia spp. have been planted as a monoculture. However, the long-term sustainability of this practice remains unclear. To assess the long-term effectiveness of revegetation with Acacia spp., this study aims to understand the differences and similarities in ecological characteristics of remnant natural forests and Acacia plantations on the coastal sand dune of North Central Vietnam by comparing understory vegetation structure and environmental conditions. We investigated the understory vegetation (height < 130 cm) in a total of 54 quadrants (1 m × 1 m), including nine natural forests and nine Acacia plantations. We compared diversity indices by mixed ANOVA and examined the differences in the understory vegetation structure between the two forest types through PERMANOVA. We also determined some abiotic environmental factors (e.g. light and soil water availability, and soil pH). We identified 951 individuals, with 792 found in natural forests and 159 in plantations. The species found in natural forests were well-distributed among Liana phanerophytes (Lp), Microphanerophytes (Mi), Mega-Mesophanerophytes (MM), and Cryptophytes (Cr). In contrast, species found in plantations were predominantly Cr, Hemicryptophytes (Hm), and MM. All diversity indices were significantly higher in natural forests (P < 0.05), and the NMDS analysis confirmed significant differences in the understory vegetation structure between natural forests and plantations. Only soil pH was significantly lower in natural forests (P < 0.05), while none of the environmental factors had a statistically significant impact on the variations in understory vegetation structure. Our results indicate that succession by native tree species does not seem to occur naturally in Acacia plantations. Hence, to restore and sustainably develop coastal sand dune forests in North Central Vietnam, it is essential to establish a scientifically based strategy for managing and protecting the remaining natural remnant forest areas. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0178-8051 2026 Uniqueness of Dirichlet forms for random point fields in the absence of tail triviality EN Yosuke Kawamoto Graduate School of Environmental, Life, Natural Science and Technology, Okayama university We consider an infinite system of interacting Brownian motions that preserves a given random point field invariant. Such dynamics are constructed using Dirichlet form theory, which naturally leads to two Dirichlet forms for the random point field: the upper and the lower Dirichlet forms. A fundamental question is the uniqueness of the Dirichlet form: that is, whether these two forms coincide. This uniqueness has often been imposed as a key assumption in the Dirichlet form approach to the stochastic analysis for infinite particle systems. A sufficient condition for the uniqueness of the Dirichlet forms is known when the random point field is tail trivial. However, tail triviality has been established for only a limited class of random point fields. In this paper, we prove the uniqueness of the Dirichlet form without assuming tail triviality. The main contribution of this work is to establish the tail preserving property, which asserts that global properties of the system, such as particle density, are preserved under time evolution. As a consequence, our results also imply the strong uniqueness of solutions to the associated infinite-dimensional stochastic differential equations. No potential conflict of interest relevant to this article was reported.

Informa UK Limited Acta Medica Okayama 1098-6065 2026 Proposing an alternative direction for the development of research: a complementary perspective on Schoenfeld’s approach to generality 1 12 EN Yusuke Uegatani Hiroshima University High School Ippo Ishibashi Faculty of Education, Okayama University The purpose of this paper is to propose a theoretical framework that suggests directions for future research. While Schoenfeld’s three-axis heuristic framework is well known for this purpose, it primarily points toward increasing generality. Drawing on prior studies on the generalizability of empirical findings in educational research, this paper argues that an alternative research path is possible. Building on the distinction between prevalence and scope, it proposes two types of generality: the generality of a phenomenon within a specified scope and the generality of a theory. Correspondingly, it identifies two directions for research development: delimitation of the scope and generalization of a theory. Finally, the paper argues that research development based on this framework can be understood as progressive in the Lakatosian sense. While Schoenfeld’s framework suggests directions for individual studies, this framework guides competing research programmes by enabling both to progress through scope delimitation. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 1860-1871 2026 Effects of Juniperus sabina coverage on plant community structure in semiarid areas of China EN Long Qin Graduate School of Environmental and Life Science, Okayama University Ayaka Yamabayashi Graduate School of Environmental and Life Science, Okayama University Tetsuya K. Matsumoto Faculty of Environmental and Life Science, Okayama University Guosheng Zhang College of Ecology and Environment, Inner Mongolia Agricultural University Norikazu Yamanaka Arid Land Research Center, Tottori University Muneto Hirobe Faculty of Environmental and Life Science, Okayama University Naoko H. Miki Faculty of Environmental and Life Science, Okayama University Plant interactions are one of the fundamental processes shaping the structure and function of plant communities and help create species diversity. Species diversity affects the current functioning of ecosystems and their resistance and resilience to future climate change. In harsh environments such as drylands, positive plant–plant interactions are important in promoting species diversity. Juniperus sabina is an evergreen shrub that is native to the semiarid areas of northern China. Because J. sabina can modify some harsh environmental conditions in its role as a nurse plant, it is expected to facilitate species diversity, although it may exhibit allelopathic inhibition. Previous research has only examined effects of J. sabina coverage onα-diversity in a single-year, and its effects on the β-diversity of the plant community structure in the local ecosystem are still unclear. We compared environmental conditions and plant species composition inside and outside of 11 J. sabina patches to evaluate the effects of its coverage on the species diversity of the understory community structure through modifying microhabitat conditions. Water and nutrient conditions were higher inside the patches, whereas light conditions were higher outside. More perennial herbs and C3 plants were found inside and more annual herbs and C4 plants were found outside. There were different trends in α-diversity each year, while β-diversity was consistently greater inside the patches. This research suggests that the coverage of J. sabina can drive different community structures by providing heterogeneous environmental conditions, and would increase plant species diversity in the local ecosystem. No potential conflict of interest relevant to this article was reported.

AIP Publishing Acta Medica Okayama 2468-2047 11 1 2025 Pressure calibrations of high-pressure large-volume presses at HPSTAR 017803 EN Yongjiang Xu Center for High Pressure Science and Technology Advanced Research Peiyan Wu Center for High Pressure Science and Technology Advanced Research Sheng Shang Center for High Pressure Science and Technology Advanced Research Xue Wang Center for High Pressure Science and Technology Advanced Research Taihang Li Center for High Pressure Science and Technology Advanced Research Shuchang Gao Center for High Pressure Science and Technology Advanced Research Shijie Lv Center for High Pressure Science and Technology Advanced Research Hang Cheng Center for High Pressure Science and Technology Advanced Research Qianzhi Xu Center for High Pressure Science and Technology Advanced Research Shang Lei Center for High Pressure Science and Technology Advanced Research Jiajia Feng Center for High Pressure Science and Technology Advanced Research Lei Zhao Center for High Pressure Science and Technology Advanced Research Wim van Westrenen Center for High Pressure Science and Technology Advanced Research Takayuki Ishii Institute for Planetary Materials, Okayama University Bin Chen Center for High Pressure Science and Technology Advanced Research Lei Su Center for High Pressure Science and Technology Advanced Research Yang Ding Center for High Pressure Science and Technology Advanced Research Wenge Yang Center for High Pressure Science and Technology Advanced Research Ho-Kwang Mao Center for High Pressure Science and Technology Advanced Research Yanhao Lin Center for High Pressure Science and Technology Advanced Research Large-volume presses (LVPs) are widely utilized in diverse research fields—including high-pressure physics, chemistry, materials science, and Earth and planetary sciences—to investigate the physical and chemical properties of materials under extreme high-pressure and high-temperature conditions. A prerequisite for achieving reproducible property measurements is the determination and control of pressure within experimental setups. However, the lack of precise pressure calibration in LVPs hinders the broader application of such devices in ultrahigh-pressure studies. This study employs a suite of standard phase transition-based pressure markers—comprising metallic conductors, semiconductors, and minerals—through both in situ and ex situ identification approaches, to establish pressure calibration curves ranging from 0.4 to >30 GPa for various types of LVP installed at the Center for High Pressure Science and Technology Advanced Research (HPSTAR), Beijing, including piston–cylinder, cubic, and multi-anvil presses. The results provide a unified and traceable pressure reference for high-pressure experiments conducted at HPSTAR, while also offering technical guidance and calibration standards for other researchers utilizing similar LVP systems, thereby enabling more consistent comparison between different laboratories. This work facilitates the advancement of LVP research toward broader applications in higher-pressure regimes. No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 Enhancement of drug delivery through fibroblast activation protein-targeted near-infrared photoimmunotherapy EN Seitaro NISHIMURA Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 Energy Price Shocks and Macroeconomic and Financial Dynamics : Evidence from Gas and Oil Markets EN PENG CHEN Graduate School of Humanities and Social Sciences, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 Scale-invariant patterning and sequential digit formation via Shh/Fgf8 spatiotemporal dynamics in axolotl limb regeneration EN Saya FURUKAWA Graduate School of Environmental, Life, Natural Science and Technology, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 Non-Interactive and Dynamic Secret Sharing Schemes for Threshold Cryptography EN YIXUAN HE Graduate School of Environmental, Life, Natural Science and Technology, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 リングオシレータ型乱数生成回路における確率統計を用いた特徴分析に関する研究 EN Ryoichi SATO Graduate School of Environmental, Life, Natural Science and Technology, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 Hardware-Oriented Security Framework for Enhancing Side-Channel Attack Resistance in Embedded Cryptographic Systems EN Masaki HIMURO Graduate School of Environmental, Life, Natural Science and Technology, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 A Study of Flutter Programming Learning Assistant System with User Interface Validation and Home Garden Monitoring Application EN SOE THANDAR AUNG Graduate School of Environmental, Life, Natural Science and Technology, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 A Study of Audio-to-Text Conversion Software and Its Applications to Meeting Minutes and Slide Annotation Generation Tools EN AMMA LIESVARASTRANTA HAZ Graduate School of Environmental, Life, Natural Science and Technology, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 Automated Design of Microwave Planar Circuits Using Genetic Algorithms and its Acceleration Techniques with Machine Learning Methods EN Takuma AKADA Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2026 A Business-to-Business Collaboration System That Promotes Data Utilization While Encrypting Information on the Blockchain EN Hiroaki NASU Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

岡山大学算数・数学教育学会 Acta Medica Okayama 1341-3155 32 2026 見方・考え方で学びと思考をつなぐ教授法 数学的な見方・考え方により数学的活動と思考を融合する 9 20 EN 　「個別最適な学び」「協働的な学び」の提案に注目が集まっている。これらは全教科教育に当てはまることである。これらを算数の改革・改善の喫緊の課題のように主張するする人が多い。本当の課題は大局的に改訂された算数・数学の資質・能力（2017）の育成にあると考える。「主体的・対話的で深い学び」に重点を置く授業公開を見ることが流行している。ところが、「主体的で、対話的な深い学び」を、資質・能力と結びつけた事例研究は見られない。「数学的に考える」を育成するには、「数学的な見方・考え方」と「数学的活動」を3者一体的に連動させるべきである。この理念は教材構成、授業構成まで具体化されていない。そこで、具体的にどのようにシステムを構想すればよいのか､その一端を検討する。 No potential conflict of interest relevant to this article was reported.

Fuji Technology Press Ltd. Acta Medica Okayama 1883-8014 30 3 2026 A Verification of Relationship Between Multiplicatively Weighted Voronoi Diagram and Huff Model: A Case Study on Order Assignment in E-Commerce 921 930 EN Takaki Kawamoto Faculty of Environmental, Life, Natural Science and Technology, Okayama University Takashi Hasuike Department of Industrial and Management Systems Engineering, School of Creative Science and Engineering, Waseda University This study examines the relationship between a multiplicatively weighted (MW-) Voronoi diagram and the Huff model. A mathematical comparison demonstrates that the models are structurally equivalent when the Huff model is deterministic and the distance decay parameter λ takes a specific value. This theoretical finding was empirically validated using real-world e-commerce order assignment data. The experiments demonstrate the distinct strengths of each model. The Huff model enables the flexible balancing of competing objectives through parameter adjustment, whereas the MW-Voronoi diagram provides geometric clarity in the interpretation of territories. We conclude that the selection of the two models should be guided by the problem objectives, depending on whether probabilistic flexibility or deterministic spatial partitioning is required. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2055-0294 12 1 2026 Adverse events of romidepsin versus tucidinostat for peripheral T-cell lymphoma: a pharmacovigilance study using the Japanese adverse drug event report database 48 EN Nao Takatsu Department of Pharmacy, Okayama University Hospital Jun Matsumoto Department of Pharmacy, Okayama University Hospital Yurie Oka Department of Pharmacy, Okayama University Hospital Tomonori Sakai Department of Pharmacy, Okayama University Hospital Naohiro Iwata Department of Pharmacy, Okayama University Hospital Tsukasa Higashionna Department of Pharmacy, Okayama University Hospital Tatsuaki Takeda Department of Pharmacy, Okayama University Hospital Hirofumi Hamano Department of Clinical Pharmacology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Yoshito Zamami Department of Clinical Pharmacology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Background Peripheral T-cell lymphoma (PTCL) is a heterogeneous group of lymphomas with poor prognosis, particularly in patients with relapsed or refractory (R/R) disease. Romidepsin and tucidinostat are histone deacetylase inhibitors used to treat R/R PTCL. No head-to-head post-marketing surveillance studies have compared adverse events (AEs) between the two agents. In this brief report, the AE profiles of romidepsin and tucidinostat were compared using the Japanese Adverse Drug Event Report (JADER) database to facilitate their differentiation and promote the management of AEs.<br> Methods We conducted a descriptive analysis using data from the JADER database from April 2018 to July 2025. The reported AEs for romidepsin and tucidinostat were extracted and classified according to preferred terms (PTs) and system organ classes (SOCs). Reporting odds ratios with 95% confidence intervals were calculated to compare the AE profiles between the groups.<br> Results In total, 998,397 reports were analysed for all drugs, including 323 for romidepsin and 753 for tucidinostat. Compared with all drugs, both agents showed significant disproportionality signals in four SOCs: Blood and lymphatic system disorders; General disorders and administration site conditions; Investigations; and Neoplasms benign, malignant and unspecified. Romidepsin exhibited additional significant signals in six SOCs: Cardiac disorders, Eye disorders, Gastrointestinal disorders, Immune system disorders, Infections and infestations, and Metabolism and nutrition disorders. Direct comparison between the two agents revealed broader AE profiles for romidepsin, with AEs more frequently reported in eight SOCs, whereas tucidinostat showed AEs in only two SOCs. Romidepsin was associated with AEs more frequently reported in several PTs, including atrial fibrillation and gastrointestinal toxicities, such as constipation, tumour lysis syndrome, hepatotoxicity, and peripheral neuropathy, which was consistent with the results at the SOC level. In contrast, several significant PTs for tucidinostat were observed in General disorders and administration site conditions and Investigations.<br> Conclusions The Japanese real-world pharmacovigilance analysis showed differences in the AE profiles between romidepsin and tucidinostat. These differences in safety profiles may be useful for treatment selection and AE management in routine clinical practice among patients with R/R PTCL. Further studies are warranted to confirm these findings and better characterise the safety profiles of these agents. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 1557-1963 21 2026 Surface Plasmon Resonances in Silver Nanodendrites : Trunk Length and Branch Connectivity Dependence 2247 2258 EN Qingyuan Ma Graduate School of Informatics and Engineering, The University of Electro-communications Yuki Kishida Graduate School of Informatics and Engineering, The University of Electro-communications Nobuyuki Takeyasu Graduate School of Natural Science and Technology, Okayama University Satoru Shoji Graduate School of Informatics and Engineering, The University of Electro-communications This study systematically investigates how trunk length and branch connectivity govern surface plasmon resonances in silver nanodendrites in the infrared (IR) region using a computational modeling strategy. We show that a continuous conductive trunk is essential for exciting long-wavelength collective plasmon modes. In a simulated bottom-up construction scheme, the trunk length is gradually increased to conductively connect additional branches to the backbone. Our results reveal that the fundamental δ mode resonance can be deterministically tuned across the mid-infrared spectrum (from 3840 nm to 4360 nm) primarily by controlling the trunk connectivity. As the number of connected branches grows, the lowest-order collective resonance peak exhibits a systematic redshift, and its resonance wavelength scales linearly with the effective dipole length Leff of the electron oscillation path. Concurrently, new higher-order modes emerge as local resonances of the connected substructures. These observations indicate that interrupting the conductive pathway causes a global collective mode to decompose into multiple resonances associated with more weakly coupled subsystems. The established linear scaling relationship provides a highly predictable design rule for this “programmable” connectivity, offering a robust platform for advanced applications such as multi-spectral infrared imaging, selective chemical sensing, and surface-enhanced infrared absorption (SEIRA) spectroscopy, where precise, a priori control over narrow-band infrared resonances is essential. No potential conflict of interest relevant to this article was reported.

American Geophysical Union (AGU) Acta Medica Okayama 1525-2027 27 5 2026 Chemical Geodynamics of Granitoid Magmatism During a Pacific‐Philippine Sea Plate Transition in Southwest Japan e2026GC012945 EN Nghiem V. Dao The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University at Misasa Tsegereda A. Yemer The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University at Misasa Tulibako T. Mwaisuba The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University at Misasa Chie Sakaguchi The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University at Misasa Hiroshi Kitagawa The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University at Misasa Katsura Kobayashi The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University at Misasa Teruyoshi Imaoka Division of Earth Science, Graduate School of Sciences and Technology for Innovation, Yamaguchi University Eizo Nakamura The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University at Misasa Granitoid magmatism along the western Pacific margin records interactions between subduction dynamics and crust–mantle processes; however, the links between plate reorganization and magma-source evolution remain debated. Here we integrate U–Pb zircon geochronology with Pb–Sr–Nd–Hf isotope systematics to investigate Cretaceous–Paleogene granitoids in Southwest Japan. Zircon U–Pb ages define two discrete magmatic episodes at 110–60 Ma and 45–30 Ma, separated by a magmatic hiatus of ∼10–15 Myr. These granitoid groups exhibit distinct isotopic signatures, indicating derivation from isotopically distinct magma sources linked to the paleo-Pacific (Izanagi) plate and the Philippine Sea plate, respectively. Isotope-based mass-balance modeling indicates higher sediment contributions to the older granitoids, with decreasing sediment input both landward and through time. The magmatic lull at ca. 52–40 Ma coincides with an abrupt isotopic shift and is interpreted to reflect plate reorganization, during which subduction of the paleo-Pacific plate was replaced by a transform or highly oblique plate boundary associated with the northward migration of the proto–Philippine Sea plate. Independent constraints from convergence rates, sediment flux, and accretionary complex development support this interpretation. These results demonstrate that granitoid magmatism in Southwest Japan was fundamentally controlled by temporal changes in subducted lithosphere and sediment flux driven by plate reorganization, highlighting the sensitivity of arc magmatism to transient tectonic regimes. No potential conflict of interest relevant to this article was reported.

American Geophysical Union (AGU) Acta Medica Okayama 2169-9097 131 2026 Lateral Variations in Lunar Crustal Thickness Inferred From Apollo Seismic and GRAIL Gravity Data e2025JE009453 EN Xiang Zhang Université Paris Cité, Institut de physique du globe de Paris, CNRS Taichi Kawamura Université Paris Cité, Institut de physique du globe de Paris, CNRS Mélanie Drilleau Université Paris Cité, Institut de physique du globe de Paris, CNRS Philippe Lognonné Université Paris Cité, Institut de physique du globe de Paris, CNRS Samuel Henri Université Paris Cité, Institut de physique du globe de Paris, CNRS Zongbo Xu Université Paris Cité, Institut de physique du globe de Paris, CNRS Keisuke Onodera Institute for Planetary Materials, Okayama University Thomas Bodin Instituto de Ciencias del Mar (ICM)–CSIC The internal structure of the Moon is key to understanding its formation, evolution, and bulk composition. In particular, determining the structure of the crust–mantle interface (Moho), including its lateral variations, is of significant importance, but current knowledge is still insufficient to fully constrain it. To address this, we used seismic wave arrivals from impact events, which yield constraints on the crust at both the impact sites and the Apollo stations, to invert for local crustal thickness. Based on a series of assumed crust and mantle density models, we compared Moho depths inferred from global gravity recovery and interior laboratory gravity data with those from seismic observations. Although the gravity‐derived results broadly capture the overall Moho relief, local discrepancies remain, with differences reaching up to 10 km in the vicinity of the Apollo 17 Saturn IVB impact site. These results may reflect regional geological anomalies and highlight the importance of incorporating multiple seismically constrained crustal thickness estimates as anchors in gravity inversions. Using seven seismic anchor points and assuming an upper mantle velocity of Vp = 7.68 km/ s, an upper mantle density of 3,280 kg/m3, and a crustal density of 2,693 kg/m3, we obtain an average lunar crustal thickness of 43.6 ± 1.9 km. The findings also provide valuable guidance for future global 3D modeling of the Moon. No potential conflict of interest relevant to this article was reported.

Japanese Society for Medical and Biological Engineering Acta Medica Okayama 2187-5219 15 2026 Automatic Detection of Turning Over in Bed with Protection of Privacy Using Four Low-resolution Thermal Sensors to Support Nursing Care 265 271 EN Jyun-Jhe Chou Department of Computer Science and Information Engineering, National Taiwan University Kammei Rai Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Go Makimoto Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Mizuki Morita Department of Biomedical Informatics, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University Yoshinobu Maeda Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Chi-Sheng Shih Graduate Institute of Networking and Multimedia, National Taiwan University Turning over in bed, especially turning over at night, is a vital human unconscious behavior. Clinically, this movement disperses pressure between the body and bed, thus preventing bedsores. Several devices, such as acceleration and pressure sensors, can count turning overs automatically; however, they often require installation on the patients or in the bed. The simplest and noninvasive method to count turning overs is to record and count on video images, but this method cannot protect privacy. Images obtained using thermal sensors have been used to protect privacy; however, there are no reports of counting turning overs automatically using low-resolution sensors. We developed a novel device equipped with four low-resolution thermal sensors, with each sensor recording only an 8×8-pixel thermal image. The original data can protect patient privacy because the resolution is only ~28.8×28.8 cm per body, which is the lowest resolution compared to previous reports using thermal images. Using four sensors simultaneously enables us to collect sufficient data for automatic identification. We first used the bilinear interpolation method employed in a previous report to count turning overs; however, the results were unsatisfactory because turning overs produced extremely subtle changes in the original data compared with postural changes such as falls. After several attempts, we finally developed a unique identification program that interleaved all data from four sensors and then identified turning overs using residual neural network-18. Using the new system, the accuracy, recall, and precision of counting turning overs in bed improved to approximately 90% with an acceptable computation load in an experiment conducted on volunteers. This study demonstrated the feasibility of our device to count turning overs in clinical settings by the new identification program using four 8×8-pixel thermal images per frame, which have sufficiently low resolution to protect patient privacy. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0039-9140 306 2026 Instrument-free quantitative colorimetric analysis using adsorption-band length in a packed silica gel column 129728 EN Sychanh Phonxayxiong Takashi Kaneta Department of Chemistry, Okayama University A simple and instrument-free colorimetric method for quantitative analysis is reported, in which analyte concentration is determined by measuring the length of a colored adsorption band formed in a packed silica gel column. The proposed method employs a miniature silica gel column that acts as a signal transducer after it adsorbs the colored compound from a solution during its flow in the column. The length of this band increases proportionally with analyte concentration, which enables quantitative detection via simple distance measurement. A theoretical model was developed to describe the relationship between solute concentration, adsorption behavior, and band propagation along the column. The principle was validated via the detection of both iron ions and enzyme-mediated glutamic acid. For Fe2+ analysis, the o-phenanthroline complexation method shows a level of sensitivity comparable to that of conventional spectrophotometry, which enables an almost quantitative recovery of trace iron in tap water. The limit of detection (LOD) and the limit of quantification (LOQ) were estimated to be 0.20 μM and 0.60 μM for the proposed method and 0.23 μM and 0.70 μM for spectrophotometry, respectively. The approach was further extended to glutamate detection using a cascade reaction involving glutamate oxidase and horseradish peroxidase with N-benzoyl leucomethylene blue as the chromogenic substrate. The LOD and the LOQ of the proposed method were 0.08 and 0.25 μM, and both values are superior to the 0.24 μM and 0.73 μM obtained using a microplate reader. By integrating preconcentration with a distance-based readout, this method provides a simple yet highly sensitive analytical platform and establishes distance as a quantitative signal for colorimetric detection. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0924-090X 114 8 2026 Basin boundary metamorphoses due to changes in accessible boundary orbits in passive dynamic walking 595 EN Kota Okamoto Department of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto University Nozomi Akashi Graduate School of Informatics, Kyoto University Ippei Obayashi nterdisciplinary Education and Research Field, Okayama University Hiroshi Kokubu Department of Mathematics, Graduate School of Science, Kyoto University James A. Yorke Departments of Mathematics and Physics, Institute for Physical Science and Technology, University of Maryland Shinya Aoi Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, The University of Osaka Passive dynamic walking is a mechanical system that walks down a shallow slope without any input or control, and is a useful tool for understanding the dynamic properties of walking. This system has a wide variety of periodic solutions through bifurcations depending on the slope angle, resulting in chaotic attractors and fractal basin boundaries. In addition, basin boundary metamorphoses occur at certain slope angles, where the boundaries of the basin of attraction change abruptly, but the mechanism underlying this phenomenon remains largely unclear. A well-known dynamical system, the Hénon map, exhibits similar properties, and its basin boundary metamorphoses have been explained in terms of changes in accessible boundary orbits caused by intersections of manifolds associated with bifurcating solutions. Inspired by this framework, we propose a hypothesis for the mechanism of basin boundary metamorphoses in passive dynamic walking by introducing the concept of accessible boundary orbits and verify it numerically. Our results provide new insights into the governing dynamics of walking and contribute to a deeper understanding of nonlinear phenomena in locomotion systems. No potential conflict of interest relevant to this article was reported.

Ceramic Society of Japan Acta Medica Okayama 1348-6535 134 4 2026 Cation distribution and diffusion-path topologies of A-site-deficient perovskite LixLa(1−x)/3NbO3 225 231 EN Naoto Kitamura Department of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science Yizhong Tang Department of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science Koji Kimura Department of Physical Science and Engineering, Nagoya Institute of Technology Ippei Obayashi Center for Artificial Intelligence and Mathematical Data Science, Okayama University Yohei Onodera Center for Basic Research on Materials, National Institute for Materials Science Ken Nakashima Faculty of Materials for Energy, Shimane University Chiaki Ishibashi Department of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science Yasushi Idemoto Department of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science Koichi Hayashi Department of Physical Science and Engineering, Nagoya Institute of Technology LixLa(1−x)/3NbO3 with an A-site-deficient perovskite structure was investigated with a focus on the relationship between its atomic configuration and Li+ diffusion properties. To this end, total scattering (diffraction) measurements were performed, and then reverse Monte Carlo modeling using the data was employed to construct the atomic configuration. The results suggest that the partial occupancy of La in the La-poor layer facilitate Li+ diffusion across the layer owing to the volume contraction. Furthermore, topological analyses conducted via persistent homology using the constructed atomic configuration indicate that a large fourfold ring formed by Nb and O is one of the reasons for superior Li+ diffusion in LixLa(1−x)/3NbO3. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2045-2322 16 1 2026 Explainable analysis of the complex maze magnetic domain structure through extension of the Landau free energy model by adding an entropy feature 12889 EN K. Masuzawa Department of Material Science and Technology, Tokyo University of Science A. L. Foggiatto Department of Material Science and Technology, Tokyo University of Science S. Kunii Department of Material Science and Technology, Tokyo University of Science R. Nagaoka Department of Material Science and Technology, Tokyo University of Science M. Taniwaki Department of Material Science and Technology, Tokyo University of Science T. Yamazaki Department of Material Science and Technology, Tokyo University of Science C. Mitsumata Department of Material Science and Technology, Tokyo University of Science I. Obayashi Interdisciplinary Education and Research Field, Okayama University Y. Hiraoka Kyoto University Institute for Advanced Study, Kyoto University M. Kotsugi Department of Material Science and Technology, Tokyo University of Science Maze magnetic domains exhibit complex, temperature-dependent behavior that impacts energy loss in soft magnets, yet their magnetization reversal mechanisms remain poorly understood due to current model limitations. To address this gap, we develop an entropy-extended Landau free energy model that incorporates thermal effects into the analysis of magnetic domain. We employ a data-driven pipeline combining persistent homology, energy decomposition, and principal component analysis to construct an interpretable model that quantifies structure–property relationships and enables causal analysis of magnetic pattern formation. Using this approach, we trace entropy increases to their origins in initial domain configurations and quantify energy transfer among entropic, demagnetization, and exchange contributions. We also find that domain wall lengthening tracks increasing structural complexity, yielding previously inaccessible insights into magnetization reversal mechanism and enabling automated visualization. Our entropy-augmented model provides an explainable framework to decipher magnetization processes and guide the design of magnetic materials to reduce energy loss. No potential conflict of interest relevant to this article was reported.

American Physical Society (APS) Acta Medica Okayama 2469-9926 113 4 2026 Analytical and numerical studies of periodic superradiance 043713 EN Hideaki Hara Research Institute for Interdisciplinary Science, Okayama University Yuki Miyamoto Research Institute for Interdisciplinary Science, Okayama University Junseok Han Research Institute for Interdisciplinary Science, Okayama University Riku Omoto Research Institute for Interdisciplinary Science, Okayama University Yasutaka Imai Research Institute for Interdisciplinary Science, Okayama University Akihiro Yoshimi Research Institute for Interdisciplinary Science, Okayama University Koji Yoshimura Research Institute for Interdisciplinary Science, Okayama University Motohiko Yoshimura Research Institute for Interdisciplinary Science, Okayama University Noboru Sasao Research Institute for Interdisciplinary Science, Okayama University We conduct a theoretical study to understand the periodic superradiance observed in an Er:YSO crystal. First, we construct a model based on the Maxwell-Bloch equations for a reduced level system, a pair of superradiance states, and a population reservoir state. Analysis of the eigenvalues of the linearized differential equations shows that periodic superradiance can be realized only for certain parameters. We also derive two-variable equations consisting of the coherence and population difference between the two superradiance states, which contain the essential feature of the periodic superradiance. The two-variable equations clarify the mathematical structure of this periodic phenomenon and give analytical forms of the period, pulse duration, and number of emitted photons. Our model successfully reproduces the periodic behavior, but the actual experimental parameters are found to be outside the parameter region for the periodic superradiance. This result implies that some other mechanism(s) is (are) required. As one example, assuming that the field decay rate varies with the electric field, the periodic superradiance can be reproduced even under the actual experimental conditions. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0046-5755 220 3 2026 Knot surgered elliptic surfaces without 1- and 3-handles for a (2, 2h + 1)-torus knot 29 EN Naoyuki Monden Department of Mathematics, Faculty of Science, Okayama University Reo Yabuguchi Department of Mathematics, Faculty of Science, Okayama University For any positive integers h and n, we show that a knot surgered elliptic surface E(n)T(2,2h+1) for a (2, 2h + 1)-torus knot T (2, 2h + 1) admits a handle decomposition without 1- and 3-handles using a Kirby diagram derived from a Lefschetz fibration on it. As a corollary, an elliptic surface E(1)2,2h+1 has such a handle decomposition. No potential conflict of interest relevant to this article was reported.

American Geophysical Union (AGU) Acta Medica Okayama 2169-9097 131 4 2026 Investigating the Detectability of Body Wave Phases From Tidal Ice Cracking Events on Titan With the Dragonfly Short-Period Seismometer e2025JE009432 EN L. Delaroque Université Paris Cité, Institut de Physique du Globe de Paris, CNRS T. Kawamura Université Paris Cité, Institut de Physique du Globe de Paris, CNRS A. Lucas Université Paris Cité, Institut de Physique du Globe de Paris, CNRS S. Rodriguez Université Paris Cité, Institut de Physique du Globe de Paris, CNRS K. Onodera Institute for Planetary Materials, Okayama University H. Shiraishi Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency R. Yamada The University of Aizu S. Tanaka Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency M. P. Panning Jet Propulsion Laboratory, California Institute of Technology R. D. Lorenz The Johns Hopkins University Applied Physics Laboratory Detecting seismic activity on Saturn's icy moon Titan during the Dragonfly mission could provide crucial information on its internal structure. The geological complexity of the moon's surface suggests significant cyclic tidal deformation, likely leading to the fracturing of the ice shell. Considering realistic source locations and fault geometries, we assess whether a vertical short-period seismometer can detect body waves from a Mw 4.0 icequake. Signal-to-noise ratios are evaluated by comparing the high-frequency content with the expected background noise and instrument capabilities for several ice attenuation scenarios and 1D interior models. Our results indicate that the high-frequency content (≥1Hz) of Mw≤4.0 tidal-induced icequakes is likely undetectable under the most unfavorable attenuation scenarios and atmospheric conditions. However, seismic signals in the 0.5–1 Hz band—where P wave reflections dominate—may still be observable for events occurring in potential seismically active regions at ∼800–1,000 km from the Dragonfly's landing site. These signals could provide constraints on the thickness of Titan's outer ice shell, provided that intrinsic attenuation is low and environmental conditions are favorable. No potential conflict of interest relevant to this article was reported.

Informa UK Limited Acta Medica Okayama 0020-739X 2026 Triangulation in teaching probability: teaching materials for the theoretical foundations of probability in real-world applications EN Yusuke Uegatani Hiroshima University High School Ippo Ishibashi Faculty of Education, Okayama University Aya Sakota Hiroshima University High School This paper proposes using the concept of triangulation with probabilistic models as a means to enhance theoretical inversion for deepening students’ understanding of the nature of probability in real-world contexts. Triangulation refers to the combined application of multiple methodologies to investigate the same phenomenon, particularly in the social sciences. Theoretical inversion refers to a shift in focus from surprising outcomes to the theoretical foundations of probability. The paper introduces three types of problem-solving tasks designed to enhance one of four types of triangulations: theory triangulation. Theoretical inversion is expected to emerge through engaging in these tasks. The characteristics of the problems are as follows. Problem 1 promotes students to compare different probabilistic models of events under similar procedures. Problem 2 provides students with an opportunity to simplify an experiment by omitting steps that add no new information. Problem 3 enhances students’ ability to recognise how subtle differences in the experimental setup can affect the resulting probability. These tasks are designed to encourage students to view probabilistic reasoning as a form of modelling and to appreciate the importance of assumptions, definitions of elementary events, and clarity in procedural descriptions. No potential conflict of interest relevant to this article was reported.

岡山大学算数・数学教育学会 Acta Medica Okayama 1341-3155 31 2025 算数科「部分に対する部分の割合に当たる大きさ」の問題解決のための足場がけ 24 33 EN 　小学５年生向けの一部の算数科教科書では，部分に対する部分の割合に当たる大きさを求める問題が扱われている．しかし，その問題解決は小学５年生には容易ではないと考えられる．そこで本稿は，どのような支援が部分に対する部分の割合に当たる大きさを求める問題解決に有効であるかを明らかにすることを目的とした．足場がけ (Scaffolding) を理論的枠組みとして，具体的な足場がけを構想し，授業を実践した．その結果，「学習者の頭の中で体験的にリアルな問題となるよう問題を工夫すること」，「児童にアイデアの一部 (どのような図的表現を用いたか) を紹介させること」，「図的表現を用いるよう促すこと」，「児童の必要感に応じて，ペアや小グループで互いの問題解決を見せ合うこと」，「児童が教室全体で自身の問題解決を発表すること」，「教師が問題文のどの情報に注目すべきかを指示すること」，「児童が他の児童に問題解決の達成を目指した説明をすること」が，有効な足場がけであることが示唆された．そして，それらの足場がけは，関わり合い機能させることが有効な場合もあることが示唆された． No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers (IEEE) Acta Medica Okayama 2169-3536 14 2026 A Self-Adaptive Framework for Deploying Machine Learning Systems Without Ground-Truth Data at Runtime 30309 30326 EN Kento Furukawa Graduate School of Information Science and Technology, Osaka University Hiroyuki Nakagawa Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Tatsuhiro Tsuchiya Graduate School of Information Science and Technology, Osaka University In recent years, the practical application of machine learning technology has rapidly progressed, accelerating its adoption across various fields. In this context, studies into the effective operation of machine learning systems in real-world environments have become essential. In actual operational settings, the distribution of input data often changes over time, leading to a significant decline in the predictive performance of models. Additionally, the lack of ground-truth data for test data during operation can sometimes make adaptation through retraining difficult. This study proposes a framework that autonomously adapts to changes in input data distribution, even in environments where ground-truth data for test data is unavailable during operation. This framework analyzes the distribution of input data and selects the appropriate predictive model based on the state of the distribution. To ensure optimal model selection, the framework employs two complementary approaches: 1) dynamically switching between multiple pre-trained models with different feature sets according to environmental changes and 2) building ensemble models based on the distribution of the test data. These approaches enable the framework to autonomously adapt to shifts in data distribution, even in operational settings where ground-truth data is unavailable. Evaluation experiments using both simulated and real-world data assessed the predictive performance of the proposed method through metrics such as R2, RMSE, and MAE. Compared to conventional single model predictions, the proposed method consistently demonstrated higher accuracy. These results indicate that the proposed approach effectively adapts to data distribution shifts in operational environments where ground-truth data is unavailable. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 2688-4046 6 3 2026 PPy‐Coated Wire Actuators for the Micromechanostimulation of Cells: Fabrication and Characterization e202500639 EN Amaia B. Ortega‐Santos Sensor and Actuator Systems, Department of Physics Chemistry and Biology (IFM), Linköping University Satoru Hayano Department of Orthodontics, Okayama University Hospital Emilio Satoshi Hara Advanced Research Center for Oral and Craniofacial Sciences Dental School, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Jose G. Martínez Sensor and Actuator Systems, Department of Physics Chemistry and Biology (IFM), Linköping University Hiroshi Kamioka Department of Orthodontics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Edwin W. H. Jager Sensor and Actuator Systems, Department of Physics Chemistry and Biology (IFM), Linköping University Cellular mechanotransduction signals play a crucial role in physiological and pathological conditions, including skeletal disorders. Although various systems exist to mechanically stimulate cultured cells, most are constrained by incubator incompatibility, limited physiological relevance, nonuniform stimulation, or complexity. The objective of this article is to develop and validate a compact, incubator-compatible tool capable of delivering localized and physiologically relevant mechanical stimulation to small cell populations. Here, we introduce a polypyrrole-based wire-shaped microactuator designed to induce localized mechanical stress to adjacent cells. These wire-shaped microactuators are biocompatible, easy-to-use, and compact for use within standard in vitro cell culture systems. Using a noncontact optical method, we characterize the actuation of polypyrrole-coated wires in an aqueous NaDBS electrolyte, showing radial expansion of 1.5–8 µm depending on the deposited polypyrrole film thickness, comparable to cellular dimensions. Next, the actuation is confirmed to be robust and stable to use in cell culture media at physiological temperature. To evaluate biological relevance, osteoblastic KUSA-A1 cells are mechanically stimulated inside the incubator and transcriptomic changes are assessed. Mechanical stimulation resulted in upregulation of genes previously associated with mechanotransduction, including Fos and Fosb. Additionally, several uncharacterized long noncoding RNAs are differentially expressed, suggesting potential novel players in the mechanotransduction pathway. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0956-7135 183 2026 Monitoring postharvest water loss in eggplants (Solanum melongena L.) using UV-induced fluorescence imaging and multivariate analysis 111902 EN Vincent Rotich Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University Tianqi Gao Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University Panintorn Prempree Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University Takahiro Hayashi Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University Kazuhiko Namba Faculty of Environmental, Life, Natural Science and Technology, Okayama University Mitsuji Monta Faculty of Environmental, Life, Natural Science and Technology, Okayama University Motomi Nishimoto Technology and Innovation Center, Daikin Industries, Ltd. Naoshi Kondo Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University Eggplant (Solanum melongena L.) is susceptible to significant postharvest losses primarily due to water loss during storage, which affects market quality by causing texture and glossiness degradation. We investigated whether UV-induced fluorescence imaging and EEM (Excitation-Emission Matrix) fluorescence spectroscopy can non-destructively monitor WL under four storage regimes (10 °C/95 % RH, 20 °C/95 % RH, 20 °C/75 % RH, 10 °C/75 % RH). EEMs exhibited three regions; a 365/420 nm blue emission increased most under warm, low-humidity storage and is consistent with phenolic/lignin-related fluorescence. Side-view fluorescence (FL) images showed progressive blue-white emission and surface textural changes that tracked gravimetric water loss (WL). A PLSR model using combined color and texture features from FL and reflectance (CL) images achieved R2CV = 0.88 (RMSECV = 3.47 %) with only six features. To test a minimal predictor, we fit an Analysis of Covariance (ANCOVA) using Day-1 FL MeanBlue as a covariate and storage category as a factor with Leave One Out Cross-validation (LOOCV); this forecasted cumulative WL with R2LOOCV = 0.92 and MAE = 1.88 %. Importantly, this ANCOVA model using Day-1 blue-band fluorescence as a covariate was predictive only under 20 °C/75 % RH; under the other conditions, its contribution was weak. Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) models achieved accuracies of 94.4 % and 85.2 %, respectively, in differentiating storage conditions. These results support low-cost FL imaging as a practical tool to monitor WL and storage stress. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 1999-4923 18 1 2026 Streamlined Radiosynthesis of [18F]Fluproxadine (AF78): An Unprotected Guanidine Precursor Enables Efficient One-Step, Automation-Ready Labeling for Clinical Use 123 EN Xinyu Chen Nuclear Medicine, Faculty of Medicine, University of Augsburg Kaito Ohta Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Hiroyuki Kimura Agency for Health, Safety and Environment, Kyoto University Yusuke Yagi Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Takanori Sasaki Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Naoko Nose Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Masaru Akehi Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Tomohiko Yamane Department of Molecular Imaging Research, Kobe City Medical Center General Hospital Rudolf A. Werner Department of Nuclear Medicine, LMU Hospital, and German Cancer Consortium (DKTK), Partner Site Munich, Ludwig-Maximilians-University of Munich Takahiro Higuchi Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Background/Objectives: [18F]Fluproxadine (formerly [18F]AF78) is a PET radiotracer targeting the norepinephrine transporter (NET) with potential applications in cardiac, neurological, and oncological imaging. Its guanidine moiety, while essential for NET binding, presents major radiosynthetic challenges due to high basicity and the harsh deprotection conditions required for protected precursors. Previous methods relied on multistep procedures, strong acids, and complex purification, limiting clinical translation. This study aimed to develop a practical one-step radiosynthesis suitable for routine and automated production. Methods: A direct SN2-type nucleophilic [18F]fluorination was performed using an unprotected guanidine precursor to eliminate deprotection steps. Reaction parameters, including the base system, solvent composition, precursor concentration, and temperature, were optimized under conventional and microwave heating. Radiochemical conversion (RCC) and operational robustness were evaluated, and purification strategies were assessed for automation compatibility. Results: Direct [18F]fluorination using the unprotected precursor reduced the total synthesis time to 60–70 min. Optimal conditions employed a tert-butanol/acetonitrile (4:1) solvent system with K2CO3/Kryptofix222, affording RCC up to 33% under conventional heating. Microwave irradiation further improved efficiency, achieving RCC of up to 64% within 1.5 min at 140 °C. The method showed broad tolerance to variations in the base molar ratio and precursor concentration and enabled isocratic HPLC purification. Conclusions: This one-step radiosynthesis overcomes longstanding challenges in [18F]fluproxadine production by eliminating harsh deprotection and enabling high-yield, automation-ready synthesis, thereby improving clinical feasibility. No potential conflict of interest relevant to this article was reported.

Informa UK Limited Acta Medica Okayama 1350-4622 2026 Towards place-responsive climate change education: Mongolian primary teachers’ pedagogical judgement across urban and rural contexts EN Shinetsetseg Gerelkhuu Graduate School of Humanities and Social Sciences, Okayama University Khalifatulloh Fiel’ardh Graduate School of Education, Okayama University Hiroki Fujii Graduate School of Education, Okayama University Batchuluun Yembuu Geography Department, Mongolian National University of Education Uuriintuya Dembereldorj Lifelong Learning and Distance Education Department, Mongolian National University of Education Climate change education (CCE) in primary schools is increasingly recognised as essential, yet how teachers interpret and enact CCE across diverse local contexts remains underexplored. This study examines how Mongolian primary school teachers working with students aged 6–11 in urban and rural contexts interpret and teach climate change, with particular attention to the role of place. Drawing on semi-structured interviews with 20 teachers across contrasting contexts, the study explores how environmental, cultural, and institutional conditions shape teachers’ pedagogical interpretations and classroom practices. Data were analysed using reflexive thematic analysis, informed by conceptual frameworks that position place as an active mediator of teaching and learning. Findings show that rural teachers frequently integrated traditional ecological knowledge and lived environmental experience to connect global climate processes with locally observable ecological change, emphasising livelihood impacts and intergenerational ecological memory. Urban teachers, by contrast, framed climate change through anthropogenic pressures such as air pollution, waste, and infrastructure constraints, foregrounding feasible individual actions within everyday school contexts. Across both settings, teachers exercised place-responsive pedagogical judgement by selectively adapting climate content to local realities while navigating curriculum constraints and workload pressures. The study contributes a place-responsive account of teachers’ pedagogical judgement in CCE, demonstrating how place functions not only as context but as a condition shaping pedagogical feasibility. No potential conflict of interest relevant to this article was reported.

American Geophysical Union (AGU) Acta Medica Okayama 0094-8276 53 5 2026 Electrical Conductivity of Amorphous and Molten CaCO3 at High Pressures and Its Implications for Mantle Conductivity Anomalies e2025GL119568 EN Bin Zhao Institute for Planetary Materials, Okayama University Takashi Yoshino Institute for Planetary Materials, Okayama University Qi Chen Center for Advanced Radiation Sources, The University of Chicago Tony Yu Center for Advanced Radiation Sources, The University of Chicago Dongzhou Zhang Center for Advanced Radiation Sources, The University of Chicago Bin Chen School of Ocean and Earth Science and Technology, University of Hawaii at Manoa Yanbin Wang Center for Advanced Radiation Sources, The University of Chicago Impedance spectrometry experiments have been conducted on CaCO3 up to 15 GPa and 2,100 K to identify its state under high pressure. The melting temperature of CaCO3 was also determined by the falling of a Re sphere observed via X-ray radiography. The phase transition from aragonite to the amorphous phase does not cause a leap in the Electrical conductivity (EC), while a drastic increase in the EC, by 1.5–2.0 log units, only occurs with the onset of melting. The EC of amorphous CaCO3 is comparable to other hydrous mantle minerals at similar pressure and temperature conditions. The required fraction of amorphous CaCO3 implies that it can be excluded from the potential origins responsible for the observed high EC anomalies in the upper mantle. If the conductivity anomalies are induced by the presence of carbonate, a low-degree melting of carbonate-bearing peridotite is anticipated. No potential conflict of interest relevant to this article was reported.

IOP Publishing Acta Medica Okayama 1742-6588 3027 1 2025 LES analysis to investigate a random-phase forcing scheme for steadying anisotropic turbulence fields 012009 EN Koki Minami Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Hiroki Suzuki Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Toshinori Kouchi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Kento Tanaka Graduate School of Environmental, Life, Natural Science and Technology, Okayama University The aim of this study is to investigate the effect of phase randomization on forcing mechanisms that stabilize localized turbulence. A trigonometric forcing based on vector potential is combined with uniform random numbers to create a spatially homogeneous forcing field. The analysis is performed using large-eddy simulation (LES) with the Smagorinsky model as the subgrid scale model. The results demonstrate that steady flows are generated regardless of the presence of phase randomization, successfully forming isotropic turbulence. In contrast, for anisotropic turbulent fields, the addition of phase randomization reduces the degree of anisotropy, indicating a smoothing effect on the anisotropy of the flow. No potential conflict of interest relevant to this article was reported.

IOP Publishing Acta Medica Okayama 1742-6588 3027 1 2025 Fundamental examination of coherent structure model prediction using vortex cores in a two-dimensional Taylor’s analytical solution 012008 EN Xuanyou Gong Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Hiroki Suzuki Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Toshinori Kouchi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Kento Tanaka Graduate School of Environmental, Life, Natural Science and Technology, Okayama University This study focuses on the possibility that flow around vortex tubes in turbulence may resemble laminar flow, and aims to describe the characteristics of turbulent fields using analytical solutions to the governing equations. In the two-dimensional analytical Taylor solution, the velocity and pressure fields are expressed by trigonometric functions, and a structure in which counter-rotating vortices are arranged in a grid pattern is demonstrated. This solution is used to verify the accuracy of numerical analyses and is expected to contribute to a simple yet unambiguous description of turbulent fields based on vortex structures. Predictions of sub-grid scale components and validation of a coherent structure model using invariants of the velocity gradient tensor are also performed. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 1999-4893 19 2 2026 A Slide Annotation System with Multimodal Analysis for Video Presentation Review 110 EN Amma Liesvarastranta Haz Department of Information and Communication Systems, Okayama University Komang Candra Brata Department of Information and Communication Systems, Okayama University Nobuo Funabiki Department of Information and Communication Systems, Okayama University Htoo Htoo Sandi Kyaw Department of Information and Communication Systems, Okayama University Evianita Dewi Fajrianti Human Centric Multimedia Research Laboratory, Department of Informatic and Computer Engineering, Politeknik Elektronika Negeri Surabaya Sritrusta Sukaridhoto Human Centric Multimedia Research Laboratory, Department of Informatic and Computer Engineering, Politeknik Elektronika Negeri Surabaya With the rapid growth of online presentations, there has been an increasing need for efficient review of recorded materials. In typical presentations, speakers verbally elaborate on each slide, providing details not captured in the slides themselves. Automatically extracting and embedding these verbal explanations at their corresponding slide locations can greatly enhance the review process for audiences. This paper presents a Slide Annotation System that employs a robust hybrid two-stage detector to identify slide boundaries, extracts slide text through Optical Character Recognition (OCR), transcribes narration, and employs a multimodal Large Language Model (LLM) to generate concise, context-aware annotations that are added to their corresponding slide locations. For evaluations, the technical performance was validated on five recorded presentations, while the user experience was assessed by 37 participants. The results showed that the system achieved a macro-average 𝐹1 score of 0.879 (𝑆𝐷=0.024, 95% 𝐶𝐼[0.849,0.909]) for slide segmentation and 90.0% accuracy (95% 𝐶𝐼[74.4%,96.5%]) for annotation alignment. Subjective evaluations revealed high annotation validity and usefulness as rated by presenters, and a high System Usability Scale (SUS) score of 80.5 (𝑆𝐷=6.7, 95% 𝐶𝐼[78.3,82.7]). Qualitative feedback further confirmed that the system effectively streamlined the review process, enabling users to locate key information more efficiently than standard video playback. These findings demonstrate the strong potential of the proposed system as an effective automated annotation system. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2813-2203 5 1 2025 A Threshold Selection Method in Code Plagiarism Checking Function for Code Writing Problem in Java Programming Learning Assistant System Considering AI-Generated Codes 2 EN Perwira Annissa Dyah Permatasari Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Mustika Mentari Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Safira Adine Kinari Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Soe Thandar Aung Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Nobuo Funabiki Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Htoo Htoo Sandi Kyaw Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Khaing Hsu Wai Graduate School of Engineering Science, Akita University To support novice learners, the Java programming learning assistant system (JPLAS) has been developed with various features. Among them, code writing problem (CWP) assigns writing an answer code that passes a given test code. The correctness of an answer code is validated by running it on JUnit. In previous works, we implemented a code plagiarism checking function that calculates the similarity score for each pair of answer codes based on the Levenshtein distance. When the score is higher than a given threshold, this pair is regarded as plagiarism. However, a method for finding the proper threshold has not been studied. In addition, AI-generated codes have become threats in plagiarism, as AI has grown in popularity, which should be investigated. In this paper, we propose a threshold selection method based on Tukey’s IQR fences. It uses a custom upper threshold derived from the statistical distribution of similarity scores for each assignment. To better accommodate skewed similarity distributions, the method introduces a simple percentile-based adjustment for determining the upper threshold. We also design prompts to generate answer codes using generative AI and apply them to four AI models. For evaluation, we used a total of 745 source codes of two datasets. The first dataset consists of 420 answer codes across 12 CWP instances from 35 first-year undergraduate students in the State Polytechnic of Malang, Indonesia (POLINEMA). The second dataset includes 325 answer codes across five CWP assignments from 65 third-year undergraduate students at Okayama University, Japan. The applications of our proposals found the following: (1) any pair of student codes whose score is higher than the selected threshold has some evidence of plagiarism, (2) some student codes have a higher similarity than the threshold with AI-generated codes, indicating the use of generative AI, and (3) multiple AI models can generate code that resembles student-written code, despite adopting different implementations. The validity of our proposal is confirmed. No potential conflict of interest relevant to this article was reported.

岡山大学文明動態学研究所 Acta Medica Okayama 2436-8326 5 2026 島根県猪目洞窟遺跡出土人骨の年代・食性・遺伝的特徴 20 39 EN Hideaki KANZAWA-KIRIYAMA Division of Human Evolution, Paleontology and Anthropology, National Museum of Nature and Science, Tsukuba City, Ibaraki Prefecture Mai TAKIGAMI Division of Human Evolution, Paleontology and Anthropology, National Museum of Nature and Science, Tsukuba City, Ibaraki Prefecture Tsuneo KAKUDA Department of Legal Medicine, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi Leo SPEIDEL Center for Interdisciplinary Theoretical and Mathematical Sciences, RIKEN Garrett HELLENTHAL Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London Nancy BIRD Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London Yousuke KAWAI Genome Medical Science Project, National Institute of Global Health and Medicine, National Institute for Health Security NCBN Controls WGS Consortium Minoru SAKAMOTO National Museum of Japanese History Yuichi KAMEDA Division of Human Evolution, Paleontology and Anthropology, National Museum of Nature and Science, Tsukuba City, Ibaraki Prefecture Noboru ADACHI Department of Legal Medicine, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi Ken-ichi SHINODA National Museum of Nature and Science Naruya SAITOU National Institute of Genetics Tatsuhiko HAMADA Research Institute for the Dynamics of Civilizations, Okayama University 論文 (Research article) /10.18926/70052 This paper reports on the integrative research findings of the human bones excavated from the Inome Cave Site in Shimane Prefecture, based on dietary estimation using carbon and nitrogen isotope analysis, radiocarbon dating, and whole genome analysis. The dates of the analyzed human bones span a wide range, from the Middle to Late Kofun period, the Nara period to the Early Heian period, and the Middle to Late Heian period, indicating that the Inome Cave Site was continuously used as a burial place. Dietary habits were a mixture of C3 resources (C3 plants and terrestrial animals that consumed C3 plants) and marine resources, with individual variations in the intake of marine and terrestrial resources. A correlation was observed between differences in dietary habits and individual variations in the Jomon ratio in the nuclear genome, with individuals who consumed higher amounts of marine resources tending to have a higher Jomon ratio. This suggests that individuals with different backgrounds were buried in the same site due to interactions with surrounding settlements. No potential conflict of interest relevant to this article was reported.

Royal Society of Chemistry (RSC) Acta Medica Okayama 2050-750X 2026 Multi-step mechanisms of early phospholipid hydrolysis and mineralisation unveiled through combined quantum chemical calculations and experimental analysis EN Keisuke Shibata Department of Materials Science, Waseda University Takahumi Shiotani Department of Resources and Environmental Engineering, Waseda University Yunhao Chen Department of Materials Science, Waseda University Reina Kurihara Department of Resources and Environmental Engineering, Waseda University Katsunori Yamaguchi Department of Resources and Environmental Engineering, Waseda University Emilio Satoshi Hara Department of Advanced International and Information Dentistry, Okayama University, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Nílson Kunioshi Department of Materials Science, Waseda University Phospholipids play key roles in bone formation, with phosphatidylserine (PS) reportedly inducing more rapid mineralisation than phosphatidylcholine (PC); however, the underlying mechanisms remains unclear. This study investigated PS and PC mineralisation using experimental methods and computational chemistry. The stationary points in the potential energy surfaces of the reactions were preliminarily found using a neural network potential (PreFerred Potential in Matlantis) capable of predicting the interaction energies for arbitrary combinations of atoms, and then refined through density functional theory calculations (Gaussian16, at the B3LYP/6-31G(d,p) level of theory). When hydrolysis reactions were assumed to be the initial step in the mineralisation of phospholipids, the results were consistent with empirical analysis. PS was found to be more easily hydrolised than PC, primarily owing to the presence of a labile proton in the NH3+ group of serine that facilitates proton transfer, enhancing hydrolysis of PS at lower energy thresholds. Specifically, when a single phospholipid was considered, three distinct hydrolysis routes were identified: between serine (or choline) and phosphate, between glycerol and phosphate, and between an aliphatic carbon chain and the glycerol backbone. In particular, the initial steps of hydrolysis involved the formation of a pentavalent phosphate intermediate. When calculations were performed with two adjacent phospholipid molecules, the loosely bound proton (H+) in the NH3+ group could be readily transferred either to the P–O bond linking serine to the phosphate group; or to the P–O bond connecting the phosphate to glycerol in a neighboring PS6 molecule. These findings reveal the important roles of serine NH3+ in facilitating hydrolysis of PS, and provide insights for designing novel molecules to accelerate bone regeneration. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0925-5710 122 5 2025 Intravenous umbilical cord-derived mesenchymal stromal cell therapy may improve overall survival in Japanese patients with idiopathic pneumonia syndrome after hematopoietic stem cell transplantation: a multicenter, single-arm, phase II trial 733 743 EN Noriko Doki Hematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital Nobuharu Fujii Department of Hematology and Oncology, Okayama University Hospital Shinichi Kako Division of Hematology, Jichi Medical University Saitama Medical Center Emiko Sakaida Department of Hematology, Chiba University Hospital Yoshinobu Kanda Division of Hematology, Department of Medicine, Jichi Medical University Idiopathic pneumonia syndrome (IPS) is a serious complication of allogeneic hematopoietic stem cell transplantation (HSCT) and has a poor prognosis. Although IPS is often treated with steroids, the disease can become resistant to or dependent on steroid treatment, and there is no effective cure for patients with refractory or steroid-dependent IPS. This multicenter, open-label, single-arm, phase II clinical trial investigated the efficacy and safety of HLC-001 (allogeneic umbilical cord-derived mesenchymal stromal cells) in patients with progressive steroid-dependent or refractory IPS after HSCT. Seven male patients (all male; mean age: 43.3 years) received HLC-001 and three completed the trial. The survival rate at day 56 (primary endpoint) was 71.4% (5/7 patients; 95% confidence interval: 29.0%–96.3%) and was sustained at day 100, suggesting that HLC-001 was more effective than previously reported treatment. Three of the five patients with ≥ 100 days of follow-up died. Five patients experienced at least one adverse drug reaction, none of which were serious. These findings indicate that HLC-001 was potentially effective and generally well tolerated in Japanese patients with steroid-dependent or refractory IPS after HSCT. Given there is no effective cure for steroid-dependent or refractory IPS, HLC-001 may be a promising treatment option and further clinical evaluation is warranted.<br> Trial registration: Japan Registry of Clinical Trials identifier: jRCT2063220014. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 2575-6265 6 5 2025 Seaweed Extracts Improve Salinity Tolerance in Cereal Crops—A Meta‐Analysis e70094 EN Md. Nuruzzaman Department of Plant Resources, College of Industrial Sciences, Kongju National University Md. Tahjib‐Ul‐Arif Department of Biochemistry and Molecular Biology, Bangladesh Agricultural University Md. Abdul Hannan Department of Biochemistry and Molecular Biology, Bangladesh Agricultural University Yoshiyuki Murata Graduate School of Environmental, Life, Natural Science and Technology, Okayama University M. Afzal Hossain Department of Biochemistry and Molecular Biology, Bangladesh Agricultural University Seaweeds are considered an essential component of the blue economy. Because seaweed extracts are rich in bioactive compounds that enhance plant stress resilience, exploiting this resource could offer a sustainable solution for crop production. Salinity is a major abiotic challenge that significantly impacts crop yield and food security. Through meta-analysis, we explored whether the exogenous application of seaweed extracts improves the salt tolerance of cereal crops. All the studies chosen for this study utilized aqueous seaweed extracts as foliar sprays. A multi-level meta-analysis with a mixed effects model was performed to determine the effect size. This meta-analysis demonstrated that applying aqueous seaweed extracts enhanced the shoot and root biomass under normal and salinity stress conditions, suggesting that seaweed extract can help improve crop stress tolerance. The seaweeds studied belonged to three classes: Phaeophyceae, Rhodophyta, and Chlorophyta, with extracts from Chlorophyta and Phaeophyceae significantly enhancing biomass production under salinity conditions. Applying aqueous seaweed extracts effectively improved salinity tolerance at both 34.2–100 mM and 101–400 mM NaCl equivalent salinity stress. Moreover, exogenous foliar application of ≤ 25% aqueous seaweed extracts was most effective for improving salinity tolerance in cereals. The impact of seaweed extracts on cereal crop yields has not been extensively reported; therefore, further studies should focus on this aspect. No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers (IEEE) Acta Medica Okayama 0018-9456 74 2025 Small Distance Increment Method for Measuring Complex Permittivity With mmWave Radar 6009610 EN Hang Song Research Institute for Semiconductor Engineering, Hiroshima University Hyun Joon Kim Department of Transdisciplinary Science and Engineering, Institute of Science Tokyo Mingxia Wan Department of Transdisciplinary Science and Engineering, Institute of Science Tokyo Bo Wei Faculty of Environmental, Life, Natural Science and Technology, Okayama University Takamaro Kikkawa Research Institute for Semiconductor Engineering, Hiroshima University Jun-Ichi Takada Department of Transdisciplinary Science and Engineering, Institute of Science Tokyo Measuring the complex permittivity of material is essential in many scenarios, such as quality checks in material manufacturing. Generally, measurement methods for characterizing the material are based on the use of a vector network analyzer (VNA), which is large and not easy for on-site measurement, especially in high-frequency range such as millimeter wave (mmWave). In addition, some measurement methods require the destruction of samples, which is not suitable for nondestructive inspection. In this work, a small distance increment (SDI) method is proposed to nondestructively measure the complex permittivity of a material. In SDI, the transmitter and receiver are formed as a monostatic radar, which is facing toward the material under test (MUT). During the measurement, the distance between the radar and the MUT changes with small increments, and the signals are recorded at each position. A mathematical model is formulated to depict the relationship among the complex permittivity, distance increment, and measured signals. By fitting the model, the complex permittivity of MUT is estimated. To implement and evaluate the proposed SDI method, a commercial off-the-shelf (COTS) mmWave radar is utilized, and the measurement system is developed. Then, the evaluation was carried out on the acrylic plate. With the proposed method, the estimated complex permittivity of the acrylic plate shows good agreement with the literature values, demonstrating the efficacy of the SDI method for characterizing the complex permittivity of the material. No potential conflict of interest relevant to this article was reported.

Institution of Engineering and Technology (IET) Acta Medica Okayama 1751-9659 19 1 2025 Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization e70157 EN Katsuya Hotta Iwate University Chao Zhang University of Toyama Yoshihiro Hagihara Iwate University Takuya Akashi Okayama University Unsupervised anomaly localization aims to identify anomalous regions that deviate from normal sample patterns. Most recent methods perform feature matching or reconstruction for the target sample with pre-trained deep neural networks. However, they still struggle to address challenging anomalies because the deep embeddings stored in the memory bank can be less powerful and informative. Specifically, prior methods often overly rely on the finite resources stored in the memory bank, which leads to low robustness to unseen targets. In this paper, we propose a novel subspace-guided feature reconstruction framework to pursue adaptive feature approximation for anomaly localization. It first learns to construct low-dimensional subspaces from the given nominal samples, and then learns to reconstruct the given deep target embedding by linearly combining the subspace basis vectors using the self-expressive model. Our core is that, despite the limited resources in the memory bank, the out-of-bank features can be alternatively “mimicked” to adaptively model the target. Moreover, we propose a sampling method that leverages the sparsity of subspaces and allows the feature reconstruction to depend only on a small resource subset, contributing to less memory overhead. Extensive experiments on three benchmark datasets demonstrate that our approach generally achieves state-of-the-art anomaly localization performance. No potential conflict of interest relevant to this article was reported.

American Society for Clinical Investigation Acta Medica Okayama 2379-3708 10 24 2025 Enhancement of drug delivery through fibroblast activation protein–targeted near-infrared photoimmunotherapy e195776 EN Seitaro Nishimura Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Kazuhiro Noma Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Tasuku Matsumoto Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Yasushige Takeda Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Tatsuya Takahashi Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Hijiri Matsumoto Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Kento Kawasaki Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Hotaka Kawai Department of Oral Pathology and Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Tomoyoshi Kunitomo Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Masaaki Akai Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Teruki Kobayashi Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Noriyuki Nishiwaki Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Hajime Kashima Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Takuya Kato Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Satoru Kikuchi Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Shunsuke Tanabe Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Toshiaki Ohara Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Hiroshi Tazawa Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Yasuhiro Shirakawa Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science Peter L. Choyke Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH Hisataka Kobayashi Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH Toshiyoshi Fujiwara Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science The tumor microenvironment plays a key role in cancer progression and therapy resistance, with cancer-associated fibroblasts (CAFs) contributing to desmoplasia, extracellular matrix (ECM) remodeling, and elevated interstitial fluid pressure, all of which hinder drug delivery. We investigated fibroblast activation protein–targeted (FAP-targeted) near-infrared photoimmunotherapy (NIR-PIT) as a strategy to improve drug penetration in CAF-rich tumors. In clinical esophageal cancer samples, FAP expression strongly correlated with increased collagen I, hyaluronic acid, and microvascular collapse. CAF-rich 3D spheroids demonstrated elevated ECM deposition and significantly impaired drug uptake compared with CAF-poor models. FAP-targeted NIR-PIT selectively reduced CAFs, reduced ECM components, and restored drug permeability. In vivo, FAP-targeted NIR-PIT enhanced the accumulation of panitumumab and Abraxane in CAF-rich tumors and improved antitumor efficacy when combined with chemotherapy. These findings highlight FAP-targeted NIR-PIT as a promising therapeutic approach to remodel the tumor stroma and overcome drug resistance in desmoplastic solid tumors. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2399-3642 8 1 2025 A genome-wide association study identifies the GPM6A locus associated with age at onset in ALS 1720 EN Ryoichi Nakamura Department of Neurology, Aichi Medical University School of Medicine Genki Tohnai Division of ALS Research, Aichi Medical University School of Medicine Naoki Atsuta Department of Neurology, Aichi Medical University School of Medicine Yumi Matsuda Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine Satoru Morimoto Keio University Regenerative Medicine Research Center, Kawasaki Daisuke Ito Department of Neurology, Nagoya University Graduate School of Medicine Masahisa Katsuno Department of Neurology, Nagoya University Graduate School of Medicine Yuishin Izumi Department of Neurology, Tokushima University Graduate School of Biomedical Sciences Mitsuya Morita Division of Neurology, Department of Internal Medicine, Jichi Medical University Ikuko Iwata Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University Ichiro Yabe Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University Tomoko Nakazato Department of Neurology, Juntendo University School of Medicine Nobutaka Hattori Department of Neurology, Juntendo University School of Medicine Takehisa Hirayama Department of Neurology, Toho University Faculty of Medicine Osamu Kano Department of Neurology, Toho University Faculty of Medicine Asako Tamura Department of Neurology, Mie University Graduate School of Medicine Naoki Suzuki Department of Neurology, Tohoku University Graduate School of Medicine Masashi Aoki Department of Neurology, Tohoku University Graduate School of Medicine Kazumoto Shibuya Department of Neurology, Graduate School of Medicine, Chiba University Satoshi Kuwabara Department of Neurology, Graduate School of Medicine, Chiba University Masaya Oda Department of Neurology, Vihara Hananosato Hospital Rina Hashimoto Department of Neurology, NHO Higashinagoya National Hospital Ikuko Aiba Department of Neurology, NHO Higashinagoya National Hospital Tomohiko Ishihara Department of Neurology, Brain Research Institute, Niigata University Osamu Onodera Department of Neurology, Brain Research Institute, Niigata University Toru Yamashita Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Hiroyuki Ishiura Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Kota Bokuda Department of Neurology, Tokyo Metropolitan Neurological Hospital Toshio Shimizu Department of Neurology, Tokyo Metropolitan Neurological Hospital Yoshio Ikeda Department of Neurology, Gunma University Graduate School of Medicine Kazuko Hasegawa Division of Neurology, NHO Sagamihara National Hospital Fumiaki Tanaka Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine Takanori Yokota Department of Neurology and Neurological Science, NucleoTIDE and PepTIDE Drug Discovery Center (TIDE), Institute of Science Tokyo Kazuaki Kanai Department of Neurology, Fukushima Medical University School of Medicine Yu-ichi Noto Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine Ryuji Kaji Department of Neurology, Tokushima University Graduate School of Biomedical Sciences Hirohisa Watanabe Department of Neurology, Fujita Health University Tomoko Konishi Division of ALS Research, Aichi Medical University School of Medicine Mikiko Hasegawa Division of ALS Research, Aichi Medical University School of Medicine Hozuki Fukaya Division of ALS Research, Aichi Medical University School of Medicine Jun-ichi Niwa Department of Neurology, Aichi Medical University School of Medicine Manabu Doyu Department of Neurology, Aichi Medical University School of Medicine Yohei Okada Department of Neurology, Aichi Medical University School of Medicine Shiho Nakamura Keio University Regenerative Medicine Research Center, Kawasaki Fumiko Ozawa Keio University Regenerative Medicine Research Center, Kawasaki Hideyuki Okano Keio University Regenerative Medicine Research Center, Kawasaki Masahiro Nakatochi Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine Gen Sobue Division of ALS Research, Aichi Medical University School of Medicine Amyotrophic lateral sclerosis (ALS) exhibits considerable clinical variability, such as differences in age at onset (AAO). Multiple factors, including genetic factors, may underlie this variability; however, the specific determinants remain unclear. To identify genes affecting AAO, we have conducted a genome-wide association study in Japanese patients with ALS (discovery cohort: n = 1808; replication cohort: n = 207). Here, we show that the minor A allele of rs113161727 at the ADAM29-GPM6A locus is associated with a younger AAO in the discovery cohort (effect, -4.27 years; p = 4.60 × 10-8); this finding has been confirmed in the replication cohort (p = 0.0068) and meta-analysis (p = 1.08 × 10−9). Among 65 ALS patients with a SOD1 mutation, the AAO has been found to be 10.2 years younger in those with the A allele than in those without it (p = 0.002). This variant correlates with GPM6A upregulation in iPSC-derived motor neurons, suggesting GPM6A as a candidate AAO modifier. Overall, our study highlights the impact of genetic modifiers on ALS heterogeneity and provides a potential target for delaying disease onset. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0010-9452 194 2026 Increasing visual uncertainty modulates multisensory decision-making 50 62 EN Xiangfu Yang Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University Weiping Yang Department of Psychology, Faculty of Education, Hubei University Yinghua Yu Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University Yoshimichi Ejima Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University Jiajia Yang Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University The brain integrates and transforms information from multiple senses to make optimal decisions, a process that is critical for navigating complex environments with perceptual uncertainty. Despite a growing consensus that individuals adapt flexibly to uncertain sensory input, whether increasing visual uncertainty influences the decision process itself or other, non-decision sensory processes during multisensory decision-making are unclear. Here, an audiovisual categorization task was used to examine the responses of human participants (N = 30) to visual and audiovisual stimuli under low-, medium-, and high-uncertainty conditions. Modeling the behavioral data using a drift‒diffusion model indicated that increased visual uncertainty in the audiovisual context decreased the evidence accumulation rate but had no effect on non-decision processes. Electrophysiological recordings confirmed and expanded upon these results: increased visual uncertainty in the audiovisual context reduced the amplitude during the late decision-making stage (300–380 msec) but had no effect on the amplitude during the early sensory encoding stage (140–220 msec). More importantly, electroencephalography analyses revealed that audiovisual integration in the early sensory encoding stage occurred robustly across all visual uncertainty conditions, whereas audiovisual integration in the late stage occurred only under medium and high visual uncertainty conditions. This study demonstrated that increased visual uncertainty modulates the decision process itself rather than early sensory encoding during multisensory decision-making. Moreover, multisensory integration strategies dynamically adapt to increasing visual uncertainty by engaging different mechanisms to maintain effective decision-making. No potential conflict of interest relevant to this article was reported.

American Astronomical Society Acta Medica Okayama 0004-637X 992 1 2025 Observing Supernova Neutrino Light Curves with Super-Kamiokande. VI. A Practical Data Analysis Technique Considering Realistic Experimental Backgrounds 27 EN Fumi Nakanishi Department of Physics, Okayama University Ken’ichiro Nakazato Faculty of Arts and Science, Kyushu University Masayuki Harada Kamioka Observatory, Institute for Cosmic Ray Research, The University of Tokyo Yusuke Koshio Department of Physics, Okayama University Ryuichiro Akaho Faculty of Science and Engineering, Waseda University Yosuke Ashida Department of Physics, Tohoku University Akira Harada National Institute of Technology, Ibaraki College Masamitsu Mori Division of Science, National Astronomical Observatory of Japan Kohsuke Sumiyoshi National Institute of Technology, Numazu College Yudai Suwa Department of Earth Science and Astronomy, The University of Tokyo Roger A. Wendell Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), Todai Institutes for Advanced Study, The University of Tokyo Masamichi Zaizen Department of Earth Science and Astronomy, The University of Tokyo Neutrinos from supernovae, especially those emitted during the late phase of core collapse, are essential for understanding the final stages of massive star evolution. We have been dedicated to developing methods for the analysis of neutrinos emitted during the late phase and observed at Super-Kamiokande (SK). Our previous studies have successfully demonstrated the potential of various analysis methods in extracting essential physical properties; however, the lack of background consideration has limited their practical application. In this study, we address this issue by incorporating a realistic treatment of the experimental signal and background events with the on-going SK experiment. We therefore optimize our analysis framework to reflect realistic observational conditions, including both signal and background events. Using this framework we study several long-time supernova models, simulating the late phase neutrino observation in SK and focusing in particular on the identification of the last observed event. We discuss the possibility of model discrimination methods using timing information from this last observed event. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 1547-5271 22 12 2025 Virtual endoscopic imaging of the heart using photon-counting detector computed tomography for electrophysiologists 3199 3207 EN Hiroshi Morita Department of Cardiovascular Therapeutics, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences Saori Asada Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry Masakazu Miyamoto Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry Koji Nakagawa Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry Satoshi Nagase Department of General Internal Medicine 3, Kawasaki Medical School General Medical Center Yoshimasa Morimoto Department of Cardiovascular Medicine, Fukuyama City Hospital Satoshi Kawada Department of Cardiovascular Medicine, Kochi Health Science Center Tadashi Wada Department of Cardiology, National Hospital Organization Iwakuni Clinical Center Takuro Masuda Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry Akira Ueoka Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry Norihisa Toh Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry Toru Miyoshi Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry Nobuhiro Nishii Department of Cardiovascular Therapeutics, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences Shinsuke Yuasa Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine and Dentistry No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 1350-4487 191 2026 Experimental approach of internal dose map visualization during helical CT examinations: importance of X-ray incident direction analysis and central internal dose estimation 107586 EN Hiroaki Hayashi College of Transdisciplinary Sciences for Innovation, Kanazawa University Kazuki Takegami Department of Radiological Technology, Yamaguchi University Hospital Rina Nishigami Graduate School of Medical Sciences, Kanazawa University Daiki Kobayashi Graduate School of Medical Sciences, Kanazawa University Sota Goto Faculty of Health Sciences, Kobe Tokiwa University Takashi Asahara Department of Radiological Technology, Faculty of Health Sciences, Okayama University Natsumi Kimoto Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University Masaki Takemitsu Department of Radiological Technology, Yamaguchi University Hospital Rin Ishii College of Transdisciplinary Sciences for Innovation, Kanazawa University Shinichi Morimoto Meditec Japan Co., Ltd. Motochika Maki Meditec Japan Co., Ltd. During computed tomography (CT) examination, radiation exposures should be appropriately managed taking into considering the effects of bowtie filter, the heel effect and over-beaming effect. Furthermore, the analysis of an X-ray incident direction is important. The purpose of this study is to develop a procedure to obtain two-dimensional (2D) internal dose distributions based on actual measurements of surface dose distribution and central internal dose data. Experiments were conducted using a clinical CT scanner and four cylindrical polyacetal resin (POM) phantoms having diameters of 15–30 cm. The entrance surface doses and the central internal dose were measured by placing the optically stimulated luminescence (OSL) dosimeters on the surface and inner part of the phantom, respectively, during helical CT scans. The X-ray incident direction at the slice containing the dosimeter was estimated based on the noise distribution analysis of the CT image. Then, circumferential surface dose distributions were determined as a function of the X-ray incident direction. Based on these experimental data, we succeeded in visualizing the 2D dose distributions. The obtained dose distribution was inhomogeneous, clearly reflecting the influence of factors such as the heel effect. The uncertainty due to our methodology was estimated to be from 4.3 % to 7.4 %. Our methodology needs central internal dose data, and the absence of this data introduced additional systematic uncertainties of +6.9 % to −11.4 %. In conclusion, correcting for the effect of the X-ray incident directions for entrance surface dose and adding the central inner dose data can improve the reliability of the internal dose distribution. No potential conflict of interest relevant to this article was reported.

AIP Publishing Acta Medica Okayama 0021-9606 163 19 2025 Interplay of coil–globule transitions and aggregation in homopolymer aqueous solutions: Simulation and topological insights 191101 EN Junichi Komatsu Department of Chemistry, Faculty of Science, Okayama University Kenichiro Koga Department of Chemistry, Faculty of Science, Okayama University Jonas Berx Niels Bohr International Academy, Niels Bohr Institute, University of Copenhagen We investigate the structural and topological properties of hydrophobic homopolymer chains in aqueous solutions using molecular dynamics simulations and circuit topology (CT) analysis. By combining geometric observables, such as the radius of gyration and the degree of aggregation, with CT data, we capture the relationship between coil–globule and aggregation transitions, resolving the system’s structural changes with temperature. Our results reveal a temperature-driven collective transition from isolated coiled chains to globular aggregates. At a characteristic transition temperature Tc, each chain in multichain systems undergoes a rapid coil–globule collapse, coinciding with aggregation, in contrast to the gradual collapse observed in single-chain systems at infinite dilution. This collective transition is reflected in geometric descriptors and a reorganization of CT motifs, shifting from intrachain-dominated motifs at low temperatures to a diverse ensemble of multichain motifs at higher temperatures. CT motif enumeration provides contact statistics while offering a topologically detailed view of polymer organization. These findings highlight CT’s utility as a structural descriptor for polymer systems and suggest applications for biopolymer aggregation and folding. No potential conflict of interest relevant to this article was reported.

Informa UK Limited Acta Medica Okayama 2766-0400 5 1 2025 Linking structure and process in dendritic growth using persistent homology with energy analysis 2475735 EN Misato Tone Department of Material Science and Technology, Tokyo University of Science Shunsuke Sato Department of Material Science and Technology, Tokyo University of Science Sotaro Kunii Department of Material Science and Technology, Tokyo University of Science Ippei Obayashi Center for Artificial Intelligence and Mathematical Data Science, Okayama University Yasuaki Hiraoka Kyoto University Institute for Advanced Study, Kyoto University Yui Ogawa NTT Basic Research Laboratories, NTT Corporation Hirokazu Fukidome Research Institute of Electrical Communication, Tohoku University Alexandre Lira Foggiatto Department of Material Science and Technology, Tokyo University of Science Chiharu Mitsumata Department of Material Science and Technology, Tokyo University of Science Ryunosuke Nagaoka Department of Material Science and Technology, Tokyo University of Science Arpita Varadwaj Department of Material Science and Technology, Tokyo University of Science Iwao Matsuda Institute for Solid State Physics, The University of Tokyo Masato Kotsugi Department of Material Science and Technology, Tokyo University of Science We present a material analysis method that links structure and process in dendritic growth using explainable machine learning approaches. We employed persistent homology (PH) to quantitatively characterize the morphology of dendritic microstructures. By using interpretable machine learning with energy analysis, we established a robust relationship between structural features and Gibbs free energy. Through a detailed analysis of how Gibbs free energy evolves with morphological changes in dendrites, we uncovered specific conditions that influence the branching of dendritic structures. Moreover, energy gradient analysis based on morphological feature provides a deeper understanding of the branching mechanisms and offers a pathway to optimize thin-film growth processes. Integrating topology and free energy enables the optimization of a range of materials from fundamental research to practical applications. No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Settlement Archaeology and Population Dynamics in Kibi EN WEST STEPHEN BRANDON Graduate School of Humanities and Social Sciences, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 A Study on the Significance of Global Leadership Development Programs in Japanese High Schools : Based on Interviews with Learners EN YU GAO Graduate School of Humanities and Social Sciences, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Strategic Orientation for Developing Municipal Solid Waste Management System towards Sound Material-Cycle Society - A Case Study of Central Vietnam EN LE DINH CUONG Graduate School of Environmental and Life Science, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Application of machine learning methods to geotechnical designs based on data-driven probabilistic framework EN Menglu HUANG Graduate School of Environmental and Life Science, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Geochemical characterization of gaseous reservoirs in the enstatite-chondrite forming-region of the proto-solar nebula: Constraints from Li-isotope, O-isotope, and trace-element compositions in chondrule components EN TORII PHILIP DOUGLAS-SONG Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Integrated Kerberos-Blockchain Authentication Framework for Securing Vehicular Ad-Hoc Network EN MAYA RAHAYU Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 A Study of Reference Paper Collection System Using Web Scraping and BERT Model EN INZALI NAING Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Coherence Generation in Atomic Cesium for Cosmic Dark Matter Detection EN JING WANG Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 交代符号行列と数理物理モデルとの関係および組み合わせゲーム理論への応用 EN Toyokazu OMOTO Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 1085-3278 2025 Enhancing Soil Aggregation and Water Retention by Applying Kaolinite Clay to Post‐Tin‐Mined Land on Belitung Island, Indonesia EN Hirmas F. Putra Graduate School of Environmental and Life Science, Okayama University Yasushi Mori Graduate School of Environmental and Life Science, Okayama University Post-mining sandy soils have low water retention, which causes soil particle separation and persistent soil erosion. Although organic matter is commonly used for soil restoration, it is lightweight, washes away during heavy rain, and decomposes under strong sunlight. The high potential for extreme rainfall events in tropical regions poses significant challenges to restoration projects. Therefore, we investigated the impact of kaolinite clay particles on enhancing soil stability in post-mining sandy soils. Soil samples were collected from three sites representing different succession stages of post-mined land (0, 1, and 6 years since mining cessation) and an adjacent natural forest as the reference site on Belitung Island, Indonesia. Soil samples were treated with 1% or 5% kaolinite or left untreated (control) and incubated at 34°C to mimic the local conditions of the study area. The samples were then analyzed to determine the soil aggregate distribution, water holding capacity, and soil erodibility, and SEM imaging was performed to examine the soil particle morphology. The results revealed an increasing trend in the silt-sized aggregate content and a 2%–5% increase in water retention in the 6-year soils relative to the untreated soils. The highest water retention was observed in the 6-year post-mining soil sample. Kaolinite amendment significantly reduced soil erodibility by 40%–50% compared to the untreated soils, even in the early restoration period (0–1 year post-mining). Kaolinite improved soil aggregation and water retention in post-mining sandy soils while reducing soil erodibility—highlighting its potential for accelerating land restoration in mining-affected areas. No potential conflict of interest relevant to this article was reported.

岡山大学経済学会 Acta Medica Okayama 2433-4146 57 2 2025 対話型美術鑑賞における創造性の理論的考察と分析フレームワークの構築 17 30 EN Satoru Miyazaki Shizuka Teramoto /10.18926/OER/69551 　In this study, we theoretically examined the mechanism of creativity in interactive art appreciation and presented it as an analytical framework.<br> 　In interactive art appreciation, viewers engage in collaborative dialogue with the artwork and other viewers, and are influenced by the promotion of creativity and improvement of the quality of the dialogue through the intervention of facilitation. This introduces an otherness that is different from the self, which creates a deviation from existing interpretations. This discrepancy in interpretation brings about a conceptual shift in the viewer, resulting in the creation of a new theory; this newly created theory eventually becomes the existing theory, and once again a collaborative dialogue takes place, giving birth to a new theory.<br> 　In this cyclical process of creativity in interactive art appreciation, knowledge is created and accumulated, and existing knowledge is creatively destroyed to reconstruct new knowledge. Learning takes place through mutual learning mediated by intrinsic motivation, and eventually learning takes place to arrive at new interpretations, although sometimes learning support is handed over from the facilitator to the viewers. For viewers whose abilities to create meaning and grasp value are underdeveloped, interactive art appreciation helps to encourage this development, and it has the potential to have a ripple effect on development not only in art but also in the broader realm of everyday knowledge outside of art. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 1471-2253 25 1 2025 Clinical predictors of extubation failure in postoperative critically ill patients: a post-hoc analysis of a multicenter prospective observational study 127 EN Jun Hattori Faculty of Medicine, Osaka University Aiko Tanaka Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine Junko Kosaka Department of Anesthesiology and Resuscitology, Okayama University Hospital Osamu Hirao Department of Anesthesiology, Osaka General Medical Center Nana Furushima Department of Anesthesiology and Intensive Care Medicine, Kobe University Hospital Yuichi Maki Department of Anesthesiology, Toho University Ohashi Medical Center Daijiro Kabata Center for Mathematical and Data Science, Kobe University Akinori Uchiyama Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine Moritoki Egi Department of Anesthesia, Kyoto University Hospital Hiroshi Morimatsu Department of Anesthesiology and Resuscitology, Okayama University Hospital Satoshi Mizobuchi Department of Anesthesiology and Intensive Care Medicine, Kobe University Hospital Yoshifumi Kotake Department of Anesthesiology, Toho University Ohashi Medical Center Ayumi Shintani Department of Medical Statistics, Graduate School of Medicine, Osaka Metropolitan University Yukiko Koyama Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine Takeshi Yoshida Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine Yuji Fujino Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine Background Postoperative patients constitute majority of critically ill patients, although factors predicting extubation failure in this group of patients remain unidentified. Aiming to propose clinical predictors of reintubation in postoperative patients, we conducted a post-hoc analysis of a multicenter prospective observational study.<br> Methods This study included postoperative critically ill patients who underwent mechanical ventilation for > 24 h and were extubated after a successful 30-min spontaneous breathing trial. The primary outcome was reintubation within 48 h after extubation, and clinical predictors for reintubation were investigated using logistic regression analyses.<br> Results Among the 355 included patients, 10.7% required reintubation. Multivariable logistic regression identified that the number of endotracheal suctioning episodes during the 24 h before extubation and underlying respiratory disease or pneumonia occurrence were significantly associated with reintubation (adjusted odds ratio [OR] 1.11, 95% confidence interval [CI] 1.05–1.18, p < 0.001; adjusted OR 2.58, 95%CI 1.30–5.13, p = 0.007). The probability of reintubation was increased significantly with the higher frequency of endotracheal suctioning, as indicated by restricted cubic splines. Subgroup analysis showed that these predictors were consistently associated with reintubation regardless of the use of noninvasive respiratory support after extubation.<br> Conclusions Endotracheal suctioning frequency and respiratory complications were identified as independent predictors of reintubation. These readily obtainable predictors may aid in decision-making regarding the extubation of postoperative patients. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0266-352X 178 2025 End-to-end time-dependent probabilistic assessment of landslide hazards using hybrid deep learning simulator 106920 EN Menglu Huang Department of Civil and Environmental Engineering, Okayama University Shin-ichi Nishimura Department of Civil and Environmental Engineering, Okayama University Toshifumi Shibata Department of Civil and Environmental Engineering, Okayama University Ze Zhou Wang Marie Skłodowska-Curie Fellow, Department of Engineering, University of Cambridge Early warning detection of landslide hazards often requires real-time or near real-time predictions, which can be challenging due to the presence of multiple geo-uncertainties and time-variant external environmental loadings. The propagation of these uncertainties at the system level for understanding the spatiotemporal behavior of slopes often requires time-consuming numerical calculations, significantly hindering the establishment of an early warning system. This paper presents a hybrid deep learning simulator, which fuses parallel convolutional neural networks (CNNs) and long short-term memory (LSTM) networks through attention mechanisms, termed PCLA-Net, to facilitate time-dependent probabilistic assessment of landslide hazards. PCLA-Net features two novelties. First, it is capable of simultaneously handling both temporal and spatial information. CNNs specialize in interpreting spatial data, while LSTM excels in handling time-variant data. Coupled with two attention mechanisms, the two modules are combined to probabilistically predict the spatiotemporal behavior of slopes. Second, PCLA-Net realizes end-to-end predictions. In this paper, the Liangshuijing landslide in the Three Gorges Reservoir area of China is used to illustrate PCLA-Net. It is first validated followed by a comparison with existing techniques to demonstrate its improved predictive capabilities. The proposed PCLA-Net simulator can achieve the same level of accuracy with at least 50% reduction in computation resources. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 1532-0626 37 27-28 2025 Algebraic Connectivity Maximizing Regular Graphs: Special Case Analysis and Depth‐First Search e70357 EN Masashi Kurahashi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Najd Salaani Polytech Sorbonne, Sorbonne University Tsuyoshi Migita Faculty of Environmental, Life, Natural Science and Technology, Okayama University Norikazu Takahashi Faculty of Environmental, Life, Natural Science and Technology, Okayama University The algebraic connectivity is an indicator of how well connected a graph is. It also characterizes the convergence speed of some dynamic processes over networks. In this paper, taking into account that homogeneous networks are modeled as regular graphs, we tackle the following problem: given a pair (𝑛, 𝑘) of positive integers such that 𝑘 is less than 𝑛 and kn is an even number, find a 𝑘-regular graph with 𝑛 vertices that have the maximum algebraic connectivity. We first consider some special cases and derive solutions through theoretical analysis. We next present depth-first search algorithms for solving the problem, which reduce the search space by making use of some known properties of the regular graph and the algebraic connectivity.We also show the results of execution of the proposed algorithms for the values of 𝑛 up to 12. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0916-7005 2025 Refinement of interval approximations for fully commutative quivers EN Yasuaki Hiraoka Kyoto University Ken Nakashima Shimane University Ippei Obayashi Okayama University Chenguang Xu Kyoto University A central challenge in the theory of multiparameter persistence modules lies in defining effective descriptors for representations of infinite or wild type. In this work, we propose a novel framework for analyzing interval approximations of fully commutative quivers, which offers a tunable trade-off between approximation resolution and computational complexity. Our approach is evaluated on commutative ladder modules of both finite and infinite type. For finite-type cases, we establish an efficient method for computing indecomposable decompositions using solely one-parameter persistent homology. For infinite-type cases, we introduce a new invariant that captures persistence in the second parameter by connecting standard persistence diagrams through interval approximations. Furthermore, we present several models for constructing commutative ladder filtrations, providing new insights into the behavior of random filtrations and demonstrating the utility of our framework in topological analysis of material structures. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2196-2995 12 1 2025 Natural Effects and Separable Effects: Insights into Mediation Analysis 20 EN Etsuji Suzuki Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Tomohiro Shinozaki Interfaculty Initiative in Information Studies, the University of Tokyo Eiji Yamamoto Okayama University of Science Purpose of Review We compare natural effects and separable effects under nonparametric structural equation models with independent errors, highlighting their similarities and differences. By examining their required properties and sufficient conditions for identification, we aim to provide deeper insights into mediation analysis.<br> Recent Findings If certain assumptions about confounding, positivity, and consistency are met, we can identify natural direct and indirect effects under nonparametric structural equation models with independent errors. However, these effects have been criticized because they rely on a specific cross-world quantity, and the so-called cross-world independence assumption cannot be empirically verified. Furthermore, interventions on the mediator may sometimes be challenging to even conceive. As an alternative approach, separable effects have recently been proposed and applied in mediation analysis, often under finest fully randomized causally interpretable structured tree graph models. These effects are defined without relying on any cross-world quantities and are claimed to be identifiable under assumptions that are testable in principle, thereby addressing some of the challenges associated with natural direct and indirect effects.<br> Summary To conduct meaningful mediation analysis, it is crucial to clearly define the research question of interest, and the choice of methods should align with the nature of the question and the assumptions researchers are willing to make. Examining the underlying philosophical perspectives on causation and manipulation can provide valuable insights. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0952-1976 150 2025 Surrogate-assisted motion planning and layout design of robotic cellular manufacturing systems 110530 EN Tomoya Kawabe Graduate School of Environmental, Life and Natural Science and Technology, Okayama University Tatsushi Nishi Graduate School of Environmental, Life and Natural Science and Technology, Okayama University Ziang Liu Graduate School of Environmental, Life and Natural Science and Technology, Okayama University Tomofumi Fujiwara Graduate School of Environmental, Life and Natural Science and Technology, Okayama University A surrogate-assisted multi-objective evolutionary algorithm is proposed for simultaneous optimization of robot motion planning and layout design in robotic cellular manufacturing systems. A sequence-pair is used to represent the layout of components in a robotic cell to avoid overlapping in the evolutionary computation. The robot motion planning with Rapidly exploring Random Trees Star (RRT*) is applied to compute the total operation time of a robot arm for each layout. Non-dominated Sorting Genetic Algorithm II (NSGA-II) is used to minimize the total required layout area and the operation time for a robot arm. The proposed surrogate model can estimate the robot’s operation time with 98% of accuracy without explicit computations of the motion planning algorithm. The experimental results with a physical 6 Degree of Freedom (DOF) manipulator show that the total computation time is approximately 1/400, significantly shorter than the conventional methods. No potential conflict of interest relevant to this article was reported.

Japanese Society for Plant Cell and Molecular Biology Acta Medica Okayama 1342-4580 42 3 2025 Root-exuded sugars as drivers of rhizosphere microbiome assembly 215 227 EN Niarsi Merry Hemelda Department of Biology, Faculty of Mathematics and Natural Sciences, University of Indonesia Yoshiteru Noutoshi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Sugars in root exudates play a pivotal role in shaping plant-microbe interactions in the rhizosphere, serving as carbon sources and signaling molecules that orchestrate microbial behavior, community structure, and plant resilience. Recent research has shed light on the dynamics of sugar levels in root exudates, the factors that influence their secretion, and the mechanisms by which these sugars drive microbial colonization and community assembly in the rhizosphere. Microbial communities, in turn, contribute to plant physiological changes that enhance growth and stress tolerance. While well-studied sugars such as glucose, sucrose, and fructose are known to promote chemotaxis, motility, and biofilm formation, emerging evidence suggests that less-studied sugars like arabinose and trehalose may also play significant roles in microbial interactions and stress resilience. Key challenges remain, including the accurate measurement of labile sugars that are rapidly metabolized by microbes, and the elucidation of genetic mechanisms underlying rhizosphere metabolic interactions in both host plants and microbes. Addressing these challenges will advance our understanding of sugar-mediated interactions and inform the development of sustainable agricultural innovations. No potential conflict of interest relevant to this article was reported.

Okayama University Medical School Acta Medica Okayama 0386-300X 79 5 2025 Blood Pressure and Heart Rate Patterns Identified by Unsupervised Machine Learning and Their Associations with Subclinical Cerebral and Renal Damage in a Japanese Community: The Masuda Study 369 379 EN Takashi Hisamatsu Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Minako Kinuta Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Sosuke Munetomo Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Mari Fukuda Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Katsuhide Kojima Department of Radiology, Okayama University Hospital Kaori Taniguchi Department of Environmental Medicine and Public Health, Izumo, Shimane University Faculty of Medicine Noriko Nakahata Department of Health and Nutrition, The University of Shimane Faculty of Nursing and Nutrition Hideyuki Kanda Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Original Article 10.18926/AMO/69438 We applied unsupervised machine learning to analyze blood pressure (BP) and resting heart rate (HR) patterns measured during a 1-year period to assess their cross-sectional relationships with subclinical cerebral and renal target damage. Dimension reduction via uniform manifold approximation and projection, followed by K-means++ clustering, was used to categorize 362 community-dwelling participants (mean age, 56.2 years; 54.9% women) into three groups: Low BP and Low HR (Lo-BP/Lo-HR), High BP and High HR (Hi-BP/Hi-HR), and Low BP and High HR (Lo-BP/Hi-HR). Cerebral vessel lesions were defined as the presence of at least one of the following magnetic resonance imaging findings: lacunar infarcts, white matter hyperintensities, cerebral microbleeds, or intracranial artery stenosis. A high urinary albumin-to-creatinine ratio (UACR) was defined as the top 10% (≥ 12 mg/g) of the mean value from ≥2 measurements. Poisson regression with robust error variance, adjusted for demographics, lifestyle, and medical history, showed that the Hi-BP/Hi-HR group had relative risks of 3.62 (95% confidence interval, 1.75-7.46) for cerebral vessel lesions and 3.58 (1.33-9.67) for high UACR, and the Lo-BP/Hi-HR group had a relative risk of 3.09 (1.12-8.57) for high UACR, compared with the Lo-BP/Lo-HR group. These findings demonstrate the utility of an unsupervised, data-driven approach for identifying physiological patterns associated with subclinical target organ damage. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2078-2489 16 7 2025 A Fundamental Statistics Self-Learning Method with Python Programming for Data Science Implementations 607 EN Prismahardi Aji Riyantoko Department of Information and Communication Systems, Okayama University Nobuo Funabiki Department of Information and Communication Systems, Okayama University Komang Candra Brata Department of Information and Communication Systems, Okayama University Mustika Mentari Department of Information and Communication Systems, Okayama University Aviolla Terza Damaliana Department of Data Science, Universitas Pembangunan Nasional Veteran Jawa Timur Dwi Arman Prasetya Department of Data Science, Universitas Pembangunan Nasional Veteran Jawa Timur The increasing demand for data-driven decision making to maintain the innovations and competitiveness of organizations highlights the need for data science educations across academia and industry. At its core is a solid understanding of statistics, which is necessary for conducting a thorough analysis of data and deriving valuable insights. Unfortunately, conventional statistics learning often lacks practice in real-world applications using computer programs, causing a separation between conceptual knowledge of statistics equations and their hands-on skills. Integrating statistics learning into Python programming can convey an effective solution for this problem, where it has become essential in data science implementations, with extensive and versatile libraries. In this paper, we present a self-learning method for fundamental statistics through Python programming for data science studies. Unlike conventional approaches, our method integrates three types of interactive problems—element fill-in-blank problem (EFP), grammar-concept understanding problem (GUP), and value trace problem (VTP)—in the Programming Learning Assistant System (PLAS). This combination allows students to write code, understand concepts, and trace the output value while obtaining instant feedback so that they can improve retention, knowledge, and practical skills in learning statistics using Python programming. For evaluations, we generated 22 instances using source codes for fundamental statistics topics, and assigned them to 40 first-year undergraduate students at UPN Veteran Jawa Timur, Indonesia. Statistics analytical methods were utilized to analyze the student learning performances. The results show that a significant correlation (𝜌<0.05) exists between the students who solved our proposal and those who did not. The results confirm that it can effectively assist students in learning fundamental statistics self-learning using Python programming for data science implementations. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2079-9292 14 11 2025 An Automatic Code Generation Tool Using Generative Artificial Intelligence for Element Fill-in-the-Blank Problems in a Java Programming Learning Assistant System 2261 EN Zihao Zhu Department of Information and Communication Systems, Okayama University Nobuo Funabiki Department of Information and Communication Systems, Okayama University Mustika Mentari Department of Information and Communication Systems, Okayama University Soe Thandar Aung Department of Information and Communication Systems, Okayama University Wen-Chung Kao Department of Electrical Engineering, National Taiwan Normal University Yi-Fang Lee Department of Industrial Education, National Taiwan Normal University Presently, Java is a fundamental object-oriented programming language that can be mastered by any student in information technology or computer science. To assist both teachers and students, we developed the Java Programming Learning Assistant System (JPLAS). It offers several types of practice problems with different levels and learning goals for step-by-step self-study, where any answer is automatically marked in the system. One challenge for teachers that is addressed with JPLAS is the generation of proper exercise problems that meet learning requirements. We implemented programs for generating new problems from given source codes, as collecting and evaluating suitable codes remains time-consuming. In this paper, we present an automatic code generation tool using generative AI to solve this challenge. Prompt engineering is used to help generate an appropriate source code, and the quality is controlled by optimizing the prompt based on the outputs. For applications in JPLAS, we implement a web application system to automatically generate an element fill-in-the-blank problem (EFP) in JPLAS. For evaluation, we select the element fill-in-the-blank problem (EFP) as the target type in JPLAS and generate several instances using this tool. The results confirm the validity and effectiveness of the proposed method. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0273-1177 76 9 2025 Spatiotemporal evolution of ecosystem carbon storage under land use/land cover dynamics in the coastal region of Central Vietnam 4815 4837 EN Viet Hoang Ho Graduate School of Environmental and Life Science, Okayama University Hidenori Morita Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Thanh Ha Ho University of Agriculture and Forestry, Hue University Felix Bachofer German Aerospace Center (DLR), Earth Observation Center Ecosystem carbon storage is a cost-effective strategy for global climate change mitigation, and its fluctuation is markedly shaped by land use/land cover (LULC) dynamics. Taking Danang city as an example of Central Coastal Vietnam, this study aims to assess LULC changes and analyze the spatiotemporal evolution of carbon storage from 2023 to 2050 under four LULC change scenarios, including natural trend scenario (NTS), ecological protection scenario (EPS), economic development scenario (EDS), and cropland protection scenario (CPS), by integrating the support vector machine-cellular automata-Markov (SVM-CA-Markov) model and the InVEST model. The Optimal Parameters-based Geographical Detector (OPGD) model was subsequently employed to elucidate the impacts of driving factors on the spatial distribution of carbon storage. The results showed that, from 2007 to 2023, Danang city experienced a dramatic back-and-forth transformation between LULC types, with the predominant transitions being from natural forest to acacia tree-dominated plantation forest (6492.31 ha), and from cropland to settlements, acacia tree-dominated plantation forest, and other land (5483.05 ha, 3763.66 ha, 2762.35 ha, respectively). Between 2023 and 2050, LULC transformations in Danang city are projected to yield varying degrees of carbon storage levels across different scenarios. Specifically, carbon storage is anticipated to dwindle by 0.221 Mt, 0.223 Mt, and 0.298 Mt under NTS, EDS, and CPS, respectively, while enhancing by 0.141 Mt under EPS. Regarding the spatial distribution of carbon storage, high values will be chiefly found in the western high-elevation mountainous region, while low values will be concentrated mostly in the eastern lower-lying areas of the city. Additionally, elevation and temperature acted as the two most significant driving factors influencing the spatial distribution of carbon storage, with Q values of 0.88 and 0.86 (p-value < 0.05), respectively. For interaction detection, the combination of elevation and soil exhibited a synergistic reinforcement effect on the spatial partitioning of carbon storage, with a high Q value of 0.9566 (p-value < 0.05). Our study highlights the necessity of ecological conservation measures in Danang city in the on-track pursuit of national net-zero carbon emissions by 2050. No potential conflict of interest relevant to this article was reported.

Cambridge University Press (CUP) Acta Medica Okayama 0022-1120 1019 2025 Experimental and numerical study on the inertial migration of hydrogel particles suspended in square channel flows A22 EN Yuma Hirohata Graduate School of Engineering Science, The University of Osaka Kazusa Sai Department of Pure and Applied Physics, Kansai University Yuki Tange Department of Pure and Applied Physics, Kansai University Tomohiro Nishiyama Department of Pure and Applied Physics, Kansai University Haruka Minato Graduate School of Environmental Life Natural Science and Technology, Okayama University Daisuke Suzuki Graduate School of Environmental Life Natural Science and Technology, Okayama University Tomoaki Itano Department of Pure and Applied Physics, Kansai University Kazuyasu Sugiyama Graduate School of Engineering Science, The University of Osaka Masako Sugihara-Seki Department of Pure and Applied Physics, Kansai University The inertial migration of hydrogel particles suspended in a Newtonian fluid flowing through a square channel is studied both experimentally and numerically. Experimental results demonstrate significant differences in the focusing positions of the deformable and rigid particles, highlighting the role of particle deformability in inertial migration. At low Reynolds numbers (Re), hydrogel particles migrate towards the centre of the channel cross-section, whereas the rigid spheres exhibit negligible lateral motion. At finite Re, they focus at four points along the diagonals in the downstream cross-section, in contrast to the rigid particles which focus near the centre of the channel face at similar Re . Numerical simulations using viscous hyperelastic particles as a model for hydrogel particles reproduced the experimental results for the particle distribution with an appropriate Young’s modulus of the hyperelastic particles. Further numerical simulations over a broader range of Re and the capillary number (Ca) reveal various focusing patterns of the particles in the channel cross-section. The phase transitions between them are discussed in terms of the inertial lift and the lift due to particle deformation, which would act in the direction towards lower shear. The stability of the channel centre is analysed using an asymptotic expansion approach to the migration force at low Re and Ca. The theoretical analysis predicts the critical condition for the transition, which is consistent with the direct numerical simulation. These experimental, numerical and theoretical results contribute to a deeper understanding of inertial migration of deformable particles. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2041-1723 16 1 2025 Persistent homology elucidates hierarchical structures responsible for mechanical properties in covalent amorphous solids 8226 EN Emi Minamitani SANKEN, The University of Osaka Takenobu Nakamura Department of Materials and Chemistry Materials DX Research Center, National Institute of Advanced Industrial Science and Technology (AIST) Ippei Obayashi Center for Artificial Intelligence and Mathematical Data Science, Okayama University Hideyuki Mizuno Graduate School of Arts and Sciences, The University of Tokyo Understanding how atomic-level structures govern the mechanical properties of amorphous materials remains a fundamental challenge in solid-state physics. Under mechanical loading, amorphous materials exhibit simple affine and spatially inhomogeneous nonaffine displacements that contribute to the elastic modulus through the Born (affine) and nonaffine terms, respectively. The differences between soft local structures characterized by small Born terms or large nonaffine displacements have yet to be elucidated. This challenge is particularly complex in covalent amorphous materials such as silicon, where the medium-range order (MRO) plays a crucial role in the network structure. To address these issues, we combined molecular dynamics simulations with persistent homology analysis. Our results reveal that local structures with small Born terms are governed by short-range characteristics, whereas those with large nonaffine displacements exhibit hierarchical structures in which short-range disorder is embedded within the MRO. These hierarchical structures are also strongly correlated with low-energy localized vibrational excitations. Our findings demonstrate that the mechanical responses and dynamic properties of covalent amorphous materials are intrinsically linked to the MRO, providing a framework for understanding and tailoring their properties. No potential conflict of interest relevant to this article was reported.

Universitas Negeri Jakarta Acta Medica Okayama 2614-3984 18 2 2025 Data inventory, processing, and reporting on plant blindness among high school students in three schools in West Java 22 32 EN Puan Helwa Rezha Soraya Biology Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia Rini Solihat Biology Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia Yayan Sanjaya Biology Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia Taro Harada Graduate School of Education, Okayama University Plant blindness is a problem related to a person's inability to realize, recognize, and know the benefits and roles of plants. After some research, there was a shift in the term, from Plant Blindness to Plant Awareness Disparity. This study aims to find out the prevalence of Plant Blindness in three high schools in West Java. The method used in this study is descriptive Cross sectional. The results of this study revealed that there were differences in the level of plant awareness in the three schools studied. One of the schools in the city of Bandung showed the highest plant awareness rate. In addition, it was also found that students who had a high level of plant awareness had a high perception of plant awareness. As a follow-up, further research can be carried out to collect more data so that it becomes a whole population. In addition, researchers can then use additional instruments so that more things can be revealed about plant blindness. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2504-446X 9 9 2025 Application of LMM-Derived Prompt-Based AIGC in Low-Altitude Drone-Based Concrete Crack Monitoring 660 EN Shijun Pan Shenzhen Institute for Advanced Study, UESTC, University of Electronic Science and Technology of China Zhun Fan Shenzhen Institute for Advanced Study, UESTC, University of Electronic Science and Technology of China Keisuke Yoshida Graduate School of Environmental and Life Science, Okayama University Shujia Qin Shenzhen Academy of Robotics Takashi Kojima TOKEN C.E.E. Consultants Co., Ltd. Satoshi Nishiyama Graduate School of Environmental and Life Science, Okayama University In recent years, large multimodal models (LMMs), such as ChatGPT 4o and DeepSeek R1—artificial intelligence systems capable of multimodal (e.g., image and text) human–computer interaction—have gained traction in industrial and civil engineering applications. Concurrently, insufficient real-world drone-view data (specifically close-distance, high-resolution imagery) for civil engineering scenarios has heightened the importance of artificially generated content (AIGC) or synthetic data as supplementary inputs. AIGC is typically produced via text-to-image generative models (e.g., Stable Diffusion, DALL-E) guided by user-defined prompts. This study leverages LMMs to interpret key parameters for drone-based image generation (e.g., color, texture, scene composition, photographic style) and applies prompt engineering to systematize these parameters. The resulting LMM-generated prompts were used to synthesize training data for a You Only Look Once version 8 segmentation model (YOLOv8-seg). To address the need for detailed crack-distribution mapping in low-altitude drone-based monitoring, the trained YOLOv8-seg model was evaluated on close-distance crack benchmark datasets. The experimental results confirm that LMM-prompted AIGC is a viable supplement for low-altitude drone crack monitoring, achieving >80% classification accuracy (images with/without cracks) at a confidence threshold of 0.5. No potential conflict of interest relevant to this article was reported.

American Institute of Mathematical Sciences (AIMS) Acta Medica Okayama 2377-9098 12 3 2025 Biophysical regulation of extracellular matrix in systemic lupus erythematosus 412 437 EN Qiwei Li Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Qiang Li Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Zhaoyang Xiao Department of Anesthesiology, The Second Affiliated Hospital of Dalian Medical University Keiji NARUSE Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Ken Takahashi Department of Cardiovascular Physiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Systemic lupus erythematosus (SLE) is a prototypical autoimmune disease characterized by immune dysregulation and multi-organ damage. Recent advances have underscored the critical involvement of extracellular matrix (ECM) biophysical properties in shaping immune cell behavior and metabolic states that contribute to disease progression. This review systematically delineates the pathological remodeling of ECM biophysics in SLE, with a focus on their roles in mechanotransduction, immune-metabolic interplay, and organ-specific tissue injury. By integrating current evidence, we highlight how ECM-derived mechanical cues orchestrate aberrant immune responses and propose new perspectives for targeting ECM-immune crosstalk in the development of organ-specific, mechanism-based therapies for SLE. No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers (IEEE) Acta Medica Okayama 2644-1284 6 2025 Time-Efficient and Practical Design Method for Skewed PMSMs: Integrating Numerical Calculations With Limited 3-D-FEA 1370 1386 EN Ren Tsunata Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yu Ichimura Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Masatsugu Takemoto Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Jun Imai Graduate School of Environmental, Life, Natural Science and Technology, Okayama University This article proposes a time-efficient and practical design method for determining appropriate skew structures for permanent magnet synchronous motors (PMSMs). Various PMSMs use skew to suppress torque ripple, but 3-D finite element analysis (3-D-FEA) is required in order to accurately determine an appropriate structure for skewed PMSMs, resulting in a long analysis time. Therefore, this article constructs a hybrid analysis method that combines numerical calculations and minimal 3-D-FEA. The aim of this method is to be practical and easy to use, even for novice designers, and to accurately and quickly design skewed PMSMs. In this article, the effectiveness of the proposed method is clarified through several case studies, and then, a skewed PMSM designed using the proposed method is verified experimentally. It is also revealed that suppression of voltage harmonics contributes to improving the performance of PMSMs in experiments. No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers (IEEE) Acta Medica Okayama 2169-3536 13 2025 Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms 89003 89024 EN Hien Nguyen School of Informatics, Computing, and Cyber Systems, Northern Arizona University Samsul Huda Interdisciplinary Education and Research Field, Okayama University Yasuyuki Nogami Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Tuy Tan Nguyen School of Informatics, Computing, and Cyber Systems, Northern Arizona University Lattice-based post-quantum cryptography (PQC) has attracted significant attention as a promising solution to the security challenges posed by quantum computing. Unlike traditional cryptographic algorithms, lattice-based schemes are expected to remain secure even in the presence of quantum attacks, making them essential for securing future data. Despite their strong theoretical foundations, lattice-based schemes face several practical challenges, particularly in optimizing performance and scalability for real-world applications. This survey provides a novel taxonomy that categorizes lattice-based PQC designs, with an emphasis on computational paradigms and security considerations. We systematically evaluate lattice-based PQC implementations across both software platforms, including central processing units and graphics processing units, as well as hardware platforms like field-programmable gate arrays and application-specific integrated circuits, highlighting their strengths and limitations. In addition, we explore the practical applications of lattice-based cryptography in fields such as secure communication, critical infrastructure, privacy-preserving data analytics, artificial intelligence, and trust and authentication systems. By offering a comprehensive overview of the current state of lattice-based PQC, this survey aims to provide valuable insights into the ongoing advancements and future research directions in the field as we transition to a post-quantum era. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0969-806X 239 2026 Helical X-ray tube trajectory estimation via image noise analysis for enhanced CT dosimetry 113260 EN Tatsuya Maeda Graduate School of Medical Sciences, Kanazawa University Kazuki Takegami Department of Radiological Technology, Yamaguchi University Hospital Sota Goto Faculty of Health Sciences, Kobe Tokiwa University Takashi Asahara Department of Radiological Technology, Faculty of Health Sciences, Okayama University Daiki Kobayashi Graduate School of Medical Sciences, Kanazawa University Rina Nishigami Graduate School of Medical Sciences, Kanazawa University Natsumi Kimoto Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University Kazuta Yamashita Department of Orthopedics, School of Medicine, Tokushima University Kosaku Higashino Shikoku Medical Center for Children and Adults Shinichi Morimoto MEDITEC JAPAN Co., Ltd., Yamaguchi Kosan Bld. Takeshi Konishi MEDITEC JAPAN Co., Ltd., Yamaguchi Kosan Bld. Motochika Maki MEDITEC JAPAN Co., Ltd., Yamaguchi Kosan Bld. Hiroaki Hayashi College of Transdisciplinary Sciences for Innovation, Kanazawa University Information on the helical trajectory of the X-ray tube is necessary for accurate dose evaluation during computed tomography (CT). We aimed to propose a methodology for analyzing the trajectory of the X-ray tube. The novelty of this paper is that the incident direction of X-rays is estimated from the standard deviation (SD) distribution. The X-ray incident direction for each slice was analyzed using a distribution function of SD values, in which the analysis regions were placed in the air region. Then, the helical trajectory of the CT scan was estimated by fitting a three-dimensional helical function to the analyzed data. The robustness of our algorithm was verified through phantom studies: the analyzed X-ray incident directions were compared with instrumental log data, in which cylindrical polyoxymethylene resin phantoms and a whole-body phantom were scanned. Chest CT scanning was mimicked, in which the field of view (FOV) was set at the lung region. The procedure for analyzing the X-ray incident direction was applicable to cylindrical phantoms regardless of the phantom size. In contrast, in the case of the whole-body phantom, although it was possible to apply our procedure to the chest and abdomen regions, the shoulder slices were inappropriate to analyze. Therefore, the helical trajectory was determined based on chest and abdominal CT images. The accuracy in X-ray incident direction analysis was evaluated to be 7.5°. In conclusion, we have developed an algorithm to estimate a three-dimensional helical trajectory that can be used for dose measurements and simulations. No potential conflict of interest relevant to this article was reported.

MDPI Acta Medica Okayama 2227-7080 13 4 2025 An Implementation of Creep Test Assisting System with Dial Gauge Needle Reading and Smart Lighting Function for Laboratory Automation 139 EN Dezheng Kong Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Nobuo Funabiki Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Shihao Fang Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Noprianto Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Mitsuhiro Okayasu Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Pradini Puspitaningayu Department of Electrical Engineering, Universitas Negeri Surabaya 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. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0956-5663 287 2025 A plant-insertable multi-enzyme biosensor for the real-time monitoring of stomatal sucrose uptake 117674 EN Shiqi Wu Graduate School of Information, Production and Systems, Waseda University Wakutaka Nakagawa Graduate School of Information, Production and Systems, Waseda University Yuki Mori Faculty and Graduate School of Environmental Engineering, The University of Kitakyushu Saman Azhari Graduate School of Information, Production and Systems, Waseda University Gábor Méhes Graduate School of Information, Production and Systems, Waseda University Yuta Nishina Research Institute for Interdisciplinary Science, Okayama University Tomonori Kawano Faculty and Graduate School of Environmental Engineering, The University of Kitakyushu Takeo Miyake Graduate School of Information, Production and Systems, Waseda University Monitoring sucrose transport in plants is essential for understanding plant physiology and improving agricultural practices, yet effective sensors for continuous and real-time in-vivo monitoring are lacking. In this study, we developed a plant-insertable sucrose sensor capable of real-time sucrose concentration monitoring and demonstrated its application as a useful tool for plant research by monitoring the sugar-translocating path from leaves to the lower portion of plants through the stem in living plants. The biosensor consists of a bilirubin oxidase-based biocathode and a needle-type bioanode integrating glucose oxidase, invertase, and mutarotase, with the two electrodes separated by an agarose gel for ionic connection. The sensor exhibits a sensitivity of 6.22 μA mM−1 cm−2, a limit of detection of 100 μM, a detection range up to 60 mM, and a response time of 90 s at 100 μM sucrose. Additionally, the sensor retained 86 % of its initial signal after 72 h of continuous measurement. Day-night monitoring from the biosensor inserted in strawberry guava (Psidium cattleianum) showed higher sucrose transport activity at night, following well the redistribution of photosynthetically produced sugars. In addition, by monitoring the forced translocation of sucrose dissolved in the stable isotopically labeled water, we demonstrated that a young seedling of Japanese cedar known as Sugi (Cryptomeria japonica) can absorb and transport both water and sucrose through light-dependently opened stomata, which is the recently revealed path for liquid uptake by higher plants. These findings highlight the potential of our sensor for studying dynamic plant processes and its applicability in real-time monitoring of sugar transport under diverse environmental conditions. No potential conflict of interest relevant to this article was reported.

SAGE Publications Acta Medica Okayama 1076-0296 31 2025 Activated Clotting Time Requires Adaptation Across Altered Measurement Devices: Determination of Appropriate Range During Atrial Fibrillation Ablation EN Haruna Sakanoue Department of Nursing, Okayama Heart Clinic Hirosuke Yamaji Heart Rhythm Center, Okayama Heart Clinic Sayaka Okamoto Department of Nursing, Okayama Heart Clinic Kumi Okano Department of Nursing, Okayama Heart Clinic Yuka Fujita Department of Nursing, Okayama Heart Clinic Shunichi Higashiya Heart Rhythm Center, Okayama Heart Clinic Takashi Murakami Heart Rhythm Center, Okayama Heart Clinic Satoshi Hirohata Department of Medical Technology, Okayama University Graduate School of Health Sciences Shozo Kusachi Department of Medical Technology, Okayama University Graduate School of Health Sciences Background: Methods for measuring activated clotting time (ACT) are not yet standardized.<br> Objectives: To adjust and compare values between two measurement systems and to optimize ACT during atrial fibrillation (AF) ablation.<br> Methods: Two systems were compared: electromagnetic detection using a rotating tube (EM system; Hemochron Response) and photo-optical detection using a cartridge immersed in blood (PO system; ACT CA-300TM).<br> Results: ACT was measured simultaneously in 124 instances in 53 patients before and during AF ablations using both methods. A linear regression analysis showed ACT (EM system) = 1.19 × ACT (PO system) + 9.03 (p < .001, r = 0.90). Bland–Altman plots indicated an average difference of 50 s between the two systems. In 3364 ACT measurements from 1161 ablations, the EM system recorded a mean ACT of 320 ± 44 s (range 156-487 s). Estimating the target range as mean ± 1 SD range, the EM system's range was 275-365 s, in 5-s increments. The pre-ablation ACT measured on the EM system was 143 ± 28 s (115-170 s). Cardiac tamponade occurred in 4 out of 2085 ablations (0.19%) over 5 years, with ACT values ranging from 330 to 391 s on the EM system. Based on these findings, the estimated optimal ACT range for the PO system was adjusted to 225-300 s to align with the EM system's range of 275-365 s.<br> Conclusions: ACT target ranges should be system-specific, and direct extrapolation between devices is not recommended. Adjustment is clinically necessary when switching systems. No potential conflict of interest relevant to this article was reported.

岡山大学大学院教育学研究科 Acta Medica Okayama 1883-2423 189 2025 ウィトゲンシュタイン哲学に基づく授業分析研究 ―理科の授業を支える「信用」の基底性― 1 17 EN Yoshitsugu HIRATA Faculty of Education，Okayama University /10.18926/bgeou/69234 　本研究は、小学校4 年生の単元「月と星」（50 分×3 回）の授業に会話分析を施したうえで、ウィトゲンシュタインの『確実性について』における信用概念に依拠した考察を加えた。ここで言う信用とは、子どもが教師や教材を端的に信じることを指しており、言語ゲームの学習を基底において支えているものである。理科の授業は科学的条件を重視しようとすればするほど、授業が成立しなくなってしまうという逆説を抱えているが、この逆説による破綻を回避するものとして、科学的でも合理的でもない信用があることを指摘した。本研究は、先行研究において理論的に指摘されるに留まっていた非合理的な概念変容の過程を、実践的に明らかにしたものである。 No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0360-3199 140 2025 Advances in filler-crosslinked membranes for hydrogen fuel cells in sustainable energy generation 745 776 EN Aminul Islam Department of Petroleum and Mining Engineering, Jashore University of Science and Technology Mamun Shahriar Department of Petroleum and Mining Engineering, Jashore University of Science and Technology Md. Tarekul Islam Department of Leather Engineering, Faculty of Mechanical Engineering, Khulna University of Engineering and Technology Siow Hwa Teo Industrial Chemistry Program, Faculty of Science and Natural Resources, Universiti Malaysia Sabah M. Azizur R. Khan Department of Chemistry, Jashore University of Science and Technology Yun Hin Taufiq-Yap Catalysis Science and Technology Research Centre, Faculty of Science, Universiti Putra Malaysia Suman C. Mohanta Department of Chemistry, Jashore University of Science and Technology Ariyan Islam Rehan Department of Chemistry, School of Science, The University of Tokyo Adiba Islam Rasee Department of Chemistry, Graduate School of Science, Osaka University Khadiza Tul Kubra Department of Chemistry, Graduate School of Science, Osaka University Md. Munjur Hasan Department of Chemistry, Graduate School of Science, Osaka University Md. Shad Salman Institute for Chemical Research, Kyoto University R.M. Waliullah Institute for Chemical Research, Kyoto University Md. Nazmul Hasan Department of Chemistry, School of Science, The University of Tokyo Md. Chanmiya Sheikh Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University Tetsuya Uchida Division of Applied Chemistry, Graduate School of Natural Science and Technology, Okayama University Mrs Eti Awual Institute for Chemical Research, Kyoto University Mohammed Sohrab Hossain Department of Chemistry, Graduate School of Science, Osaka University Hussein Znad Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University Md. Rabiul Awual Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University Fuel cell membranes can be used in various ways to achieve zero-emission transport and energy systems, which offer a promising way to power production due to their higher efficiency compared to the internal combustion engine and the eco-environment. Perfluoro sulfonic acid membranes used for proton exchange membranes (PEMs) have certain drawbacks, like higher fuel permeability and expense, lower mechanical and chemical durability, and proton conductivity under low humidity and above 80 °C temperature. Researchers have drawn their attention to the production of polymer electrolyte membranes with higher proton conductivity, thermal and chemical resilience, maximum power density, lower fuel permeability, and lower expense. For sustainable clean energy generation, a review covering the most useful features of advanced material-associated membranes would be of great benefit to all interested communities. This paper endeavors to explore several types of novel inorganic fillers and crosslinking agents, which have been incorporated into membrane matrices to design the desired properties for an advanced fuel cell system. Membrane parameters such as proton conductivity, the ability of H2 transport, and the stability of the membrane are described. Research directions for developing fuel cell membranes are addressed based on several challenges suggested. The technological advancement of nanostructured materials for fuel cell applications is believed to significantly promote the future clean energy generation technology in practice. No potential conflict of interest relevant to this article was reported.

Japan Atherosclerosis Society Acta Medica Okayama 1340-3478 32 5 2025 ChatGPT Responses to Clinical Questions in the Japan Atherosclerosis Society Guidelines for Prevention of Atherosclerotic Cardiovascular Disease 2022 567 579 EN Takashi Hisamatsu Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Mari Fukuda Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Minako Kinuta Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Hideyuki Kanda Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Aims: Artificial intelligence is increasingly used in the medical field. We assessed the accuracy and reproducibility of responses by ChatGPT to clinical questions (CQs) in the Japan Atherosclerosis Society Guidelines for Prevention Atherosclerotic Cardiovascular Diseases 2022 (JAS Guidelines 2022).<br> Methods: In June 2024, we assessed responses by ChatGPT (version 3.5) to CQs, including background questions (BQs) and foreground questions (FQs). Accuracy was assessed independently by three researchers using six-point Likert scales ranging from 1 (“completely incorrect”) to 6 (“completely correct”) by evaluating responses to CQs in Japanese or translated into English. For reproducibility assessment, responses to each CQ asked five times separately in a new chat were scored using six-point Likert scales, and Fleiss kappa coefficients were calculated.<br> Results: The median (25th–75th percentile) score for ChatGPT’s responses to BQs and FQs was 4 (3–5) and 5 (5–6) for Japanese CQs and 5 (3–6) and 6 (5–6) for English CQs, respectively. Response scores were higher for FQs than those for BQs (P values ＜0.001 for Japanese and English). Similar response accuracy levels were observed between Japanese and English CQs (P value 0.139 for BQs and 0.586 for FQs). Kappa coefficients for reproducibility were 0.76 for BQs and 0.90 for FQs.<br> Conclusions: ChatGPT showed high accuracy and reproducibility in responding to JAS Guidelines 2022 CQs, especially FQs. While ChatGPT primarily reflects existing guidelines, its strength could lie in rapidly organizing and presenting relevant information, thus supporting instant and more efficient guideline interpretation and aiding in medical decision-making. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0969-806X 238 2026 Bone-enhanced high contrast X-ray images derived from attenuation estimation related to ultra-low energy X-rays – An application of an energy-resolving photon-counting detector (ERPCD) 113243 EN Rina Nishigami Graduate School of Medical Sciences, Kanazawa University Natsumi Kimoto Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University Takashi Asahara Faculty of Health Sciences, Okayama University Tatsuya Maeda Graduate School of Medical Sciences, Kanazawa University Daiki Kobayashi Graduate School of Medical Sciences, Kanazawa University Sota Goto Faculty of Health Sciences, Kobe Tokiwa University Tomonobu Haba Faculty of Radiological Technology, School of Medical Science, Fujita Health University Yuki Kanazawa Faculty of Life Science, Kumamoto University Shuichiro Yamamoto JOB CORPORATION Hiroaki Hayashi College of Transdisciplinary Sciences for Innovation, Kanazawa University Purpose: X-ray diagnosis in medicine is often used for bone diagnosis based on qualitative observation analysis. However, there are often cases where the contrast of bones is reduced because of the existence of soft-tissues, making it difficult to accurately diagnose the bone conditions. Although the algorithm for bone extraction images was proposed using an energy-resolving photon-counting detector (ERPCD), this algorithm can depict “one” bone material (such as hydroxyapatite under the assumption), and it is difficult to adequately depict other components. The purpose of this study is to develop an algorithm for bone-enhanced high-contrast images that can be virtually represented by the attenuation of extremely low-energy X-rays without making any special assumptions.<br> Methods: High-contrast images were virtually generated based on the attenuation rate of ultra-low energy X-rays. It was determined by fitting the mass attenuation coefficient (μ/ρ) curve to the X-ray attenuation values (μt values) measured at middle (30–40 keV) and high (40–60 keV) energy windows, and extrapolating the μt values to those for the low energy region (E = 5–20 keV). When performing the extrapolation, the effective atomic number (Zeff ) of the object was taken into consideration. The methodology was validated by simulating X-ray projections using a digital human body phantom. The frequency of correspondence between the pixel values in the high-contrast image and the Zeff image was analyzed for each pixel.<br> Results: We succeeded in creating virtual high-contrast X-ray images that reflect the image contrast of monochromatic X-rays of 5–20 keV. It was confirmed that the pixel values in the high-contrast image corresponding to an Zeff = 7.5 (soft-tissue) were completely separated from those corresponding to an Zeff = 9 (bone). The optimization of the energy related to the high contrast images was performed based on the contrast-to-noise ratio (CNR) analysis. The high contrast image with 10 keV showed a good CNR value.<br> Conclusions: Based on the analysis of the attenuation information of middle and high-energy X-rays measured by ERPCDs, we succeeded in creating a novel algorithm that can generate a virtual monochromatic image with high contrast. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0969-806X 239 2026 Counting-loss correction procedure of X-ray imaging detectors with consideration for the effective atomic number of biological objects 113237 EN Natsumi Kimoto Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University Rina Nishigami Graduate School of Medical Sciences, Kanazawa University Daiki Kobayashi Graduate School of Medical Sciences, Kanazawa University Tatsuya Maeda Graduate School of Medical Sciences, Kanazawa University Takashi Asahara Department of Radiological Technology, Faculty of Health Sciences, Okayama University Sota Goto Faculty of Health Science, Kobe Tokiwa University Yuki Kanazawa Faculty of Life Science, Kumamoto University Akitoshi Katsumata Oral Radiology and Artificial Intelligence, Asahi University Shuichiro Yamamoto JOB CORPORATION Hiroaki Hayashi College of Transdisciplinary Sciences for Innovation, Kanazawa University It is necessary to correct counting loss caused by the pulse pile-up effect and dead time when using energy-resolving photon-counting detectors (ERPCDs) under “high-counting-rate” conditions in medical and/or industrial settings. We aimed to develop a novel counting-loss correction procedure in which biological objects having effective atomic numbers (Zeff values) of 6.5–13.0 are measured with polychromatic X-rays. To correct for counting loss, such a procedure must theoretically estimate the count value of an ideal X-ray spectrum without counting loss. In this study, we estimated the ideal X-ray spectrum by focusing on the following two points: (1) the X-ray attenuation in an object (Zeff values of 6.5–13.0) and (2) the detector response. Virtual materials having intermediate atomic numbers between 6.5 and 13.0 were generated by using a mixture of polymethylmethacrylate (PMMA, Zeff = 6.5) and aluminum (Al, Zeff = 13.0). We then constructed an algorithm that can perform the counting-loss correction based on the object’s true Zeff value. To demonstrate the applicability of our procedure, we analyzed investigational objects consisting of PMMA and Al using a prototype ERPCD system. A fresh fish sample was also analyzed. The Zeff values agree with the theoretical values within an accuracy of Zeff ±1. In conclusion, we have developed a highly accurate procedure for correcting counting losses for the quantitative X-ray imaging of biological objects. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 1439-0108 25 5 2025 Comparison of geostatistics, machine learning algorithms, and their hybrid approaches for modeling soil organic carbon density in tropical forests 1554 1577 EN Viet Hoang Ho Graduate School of Environmental and Life Science, Okayama University Hidenori Morita Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Thanh Ha Ho University of Agriculture and Forestry, Hue University Felix Bachofer German Aerospace Center (DLR), Earth Observation Center Thi Thuong Nguyen University of Agriculture and Forestry, Hue University Purpose Understanding the spatial variability of soil organic carbon density (SOCD) in tropical forests is necessary for efficient climate change mitigation initiatives. However, accurately modeling SOCD in these landscapes is challenging due to low-density sampling efforts and the limited availability of in-situ data caused by constrained accessibility. In this study, we aimed to explore the most suitable modeling technique for SOCD estimation in the context of tropical forest ecosystems.<br> Methods To support the research, thirty predictor covariates derived from remote sensing data, topographic attributes, climatic factors, and geographic positions were utilized, along with 104 soil samples collected from the top 30 cm of soil in Central Vietnamese tropical forests. We compared the effectiveness of geostatistics (ordinary kriging, universal kriging, and kriging with external drift), machine learning (ML) algorithms (random forest and boosted regression tree), and their hybrid approaches (random forest regression kriging and boosted regression tree regression kriging) for the prediction of SOCD. Prediction accuracy was evaluated using the coefficient of determination (R2), the root mean squared error (RMSE), and the mean absolute error (MAE) obtained from leave-one-out cross-validation.<br> Results The study results indicated that hybrid approaches performed best in predicting forest SOCD with the greatest values of R2 and the lowest values of MAE and RMSE, and the ML algorithms were more accurate than geostatistics. Additionally, the prediction maps produced by the hybridization showed the most realistic SOCD pattern, whereas the kriged maps were prone to have smoother patterns, and ML-based maps were inclined to possess more detailed patterns. The result also revealed the superiority of the ML plus residual kriging approaches over the ML models in reducing the underestimation of large SOCD values in high-altitude mountain areas and the overestimation of low SOCD values in low-lying terrain areas.<br> Conclusion Our findings suggest that the hybrid approaches of geostatistics and ML models are most suitable for modeling SOCD in tropical forests. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0169-5002 199 2025 Real-world status of multimodal treatment of Stage IIIA-N2 non-small cell lung cancer in Japan: Results from the SOLUTION study, a non-interventional, multicenter cohort study 108027 EN Hidehito Horinouchi Department of Thoracic Oncology, National Cancer Center Hospital Haruyasu Murakami Department of Thoracic Oncology, Shizuoka Cancer Center Hideyuki Harada Division of Radiation Therapy, Shizuoka Cancer Center Tomotaka Sobue Division of Environmental Medicine and Population Sciences, Graduate School of Medicine, Osaka University Tomohiro Kato Department of Respiratory Medicine, National Hospital Organization Himeji Medical Cente Shinji Atagi Department of Thoracic Oncology, National Hospital Organization Kinki-Chuo Chest Medical Center Toshiyuki Kozuki Department of Thoracic Oncology and Medicine, National Hospital Organization Shikoku Cancer Center Takaaki Tokito Division of Respirology, Neurology, and Rheumatology, Department of Internal Medicine, Kurume University Hospital Satoshi Oizumi Department of Respiratory Medicine, National Hospital Organization Hokkaido Cancer Center Masahiro Seike Department of Pulmonary Medicine and Oncology, Nippon Medical School Hospital Kadoaki Ohashi Department of Respiratory Medicine, Okayama University Hospital Tadashi Mio Department of Respiratory Medicine, National Hospital Organization Kyoto Medical Center Takashi Sone Department of Respiratory Medicine, Kanazawa University Hospital Chikako Iwao Department of Medical, AstraZeneca K.K. Takeshi Iwane Department of Medical, AstraZeneca K.K. Ryo Koto Department of Medical, AstraZeneca K.K. Masahiro Tsuboi Department of Thoracic Surgery, National Cancer Center Hospital East Objectives: There is limited consensus on resectability criteria for Stage IIIA-N2 non-small cell lung cancer (NSCLC). We examined the patient characteristics, N2 status, treatment decisions, and clinical outcomes according to the treatment modality for Stage IIIA-N2 NSCLC in Japan.<br> Materials and methods: Patients with Stage IIIA-N2 NSCLC in Japan were consecutively registered in the SOLUTION study between 2013 and 2014. Patients were divided according to treatment (chemoradiotherapy [CRT], surgery + perioperative therapy [neoadjuvant and/or adjuvant therapy], surgery alone). Demographic characteristics, N2 status (number and morphological features), pathological information, and treatments were analyzed descriptively. Overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) were estimated using the Kaplan–Meier method.<br> Results: Of 227 patients registered, 133 underwent CRT, 56 underwent surgery + perioperative therapy, and 38 underwent surgery alone. The physicians reported the following reasons for unresectability for 116 of 133 CRT patients: large number of metastatic lymph nodes (70.7 %), extranodal infiltration (25.0 %), poor surgical tolerance (19.0 %), or other reasons (18.1 %). CRT was more frequently performed in patients whose lymph nodes had an infiltrative appearance (64.3 %) and was the predominant treatment in patients with multiple involved stations (discrete: 60.0 %; infiltrative: 80.4 %). Distant metastasis with/without local progression was found in 50.4 %, 50.0 %, and 36.8 % of patients in the CRT, surgery + perioperative therapy, and surgery alone groups, respectively. The respective 3-year OS and DFS/PFS rates (median values) were as follows: surgery + perioperative therapy—61.9 % (not reached) and 37.1 % (22.4 months; DFS); CRT group—42.2 % (31.9 months) and 26.8 % (12.0 months; PFS); surgery alone group—37.7 % (26.5 months) and 28.7 % (12.6 months; DFS).<br> Conclusion: This study has illuminated the real-world decision rules for choosing between surgical and non-surgical approaches in patients with Stage IIIA-N2 NSCLC. Our landmark data could support treatment decision making for using immune checkpoint inhibitors and targeted therapy for driver oncogenes in the perioperative therapy era. No potential conflict of interest relevant to this article was reported.

MDPI AG Acta Medica Okayama 2075-4418 15 5 2025 Review Article: Diagnostic Paradigm Shift in Spine Surgery 594 EN Aras Efe Levent Department of Orthopedic Surgery, Okayama Rosai Hospital Masato Tanaka Department of Orthopedic Surgery, Okayama Rosai Hospital Chetan Kumawat Department of Orthopedic Surgery, Okayama Rosai Hospital Christian Heng Department of Orthopedic Surgery, Okayama Rosai Hospital Salamalikis Nikolaos Department of Orthopedic Surgery, Okayama Rosai Hospital Kajetan Latka Department of Orthopedic Surgery, Okayama Rosai Hospital Akiyoshi Miyamoto Department of Orthopedic Surgery, Okayama Rosai Hospital Tadashi Komatsubara Department of Orthopedic Surgery, Okayama Rosai Hospital Shinya Arataki Department of Orthopedic Surgery, Okayama Rosai Hospital Yoshiaki Oda Department of Orthopedic Surgery, Okayama University Hospital Kensuke Shinohara Department of Orthopedic Surgery, Okayama University Hospital Koji Uotani Department of Orthopedic Surgery, Okayama University Hospital Meticulous clinical examination is essential for spinal disorders to utilize the diagnostic methods and technologies that strongly support physicians and enhance clinical practice. A significant change in the approach to diagnosing spinal disorders has occurred in the last three decades, which has enhanced a more nuanced understanding of spine pathology. Traditional radiographic methods such as conventional and functional X-rays and CT scans are still the first line in the diagnosis of spinal disorders due to their low cost and accessibility. As more advanced imaging technologies become increasingly available worldwide, there is a constantly increasing trend in MRI scans for detecting spinal pathologies and making treatment decisions. Not only do MRI scans have superior diagnostic capabilities, but they also assist surgeons in performing meticulous preoperative planning, making them currently the most widely used diagnostic tool for spinal disorders. Positron Emission Tomography (PET) can help detect inflammatory lesions, infections, and tumors. Other advanced diagnostic tools such as CT/MRI fusion image, Functional Magnetic Resonance Imaging (fMRI), Upright and Kinetic MRI, magnetic resonance spectroscopy (MRS), diffusion-weighted imaging (DWI), and diffusion tensor imaging (DTI) could play an important role when it comes to detecting more special pathologies. However, some technical difficulties in the daily praxis and their high costs act as obstacles to their further spread. Integrating artificial intelligence and advancements in data analytics and virtual reality promises to enhance spinal procedures’ precision, safety, and efficacy. As these technologies continue to develop, they will play a critical role in transforming spinal surgery. This paradigm shift emphasizes the importance of continuous innovation and adaptability in improving the diagnosis and treatment of spinal disorders. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 2045-2322 15 1 2025 Automated identification of the origin of energy loss in nonoriented electrical steel by feature extended Ginzburg–Landau free energy framework 23758 EN Michiki Taniwaki Tokyo University of Science Ryunosuke Nagaoka Tokyo University of Science Ken Masuzawa Tokyo University of Science Shunsuke Sato Tokyo University of Science Alexandre Lira Foggiatto Tokyo University of Science Chiharu Mitsumata Tokyo University of Science Takahiro Yamazaki Tokyo University of Science Ippei Obayashi Okayama University Yasuaki Hiraoka Kyoto University Yasuhiko Igarashi University of Tsukuba Yuta Mizutori University of Tsukuba Sepehri Amin Hossein NIMS Tadakatsu Ohkubo NIMS Hisashi Mogi Nippon Steel Masato Kotsugi Tokyo University of Science This study presents the automated identification of the complex magnetization reversal process in nonoriented electrical steel (NOES) using the feature extended Ginzburg–Landau (eX-GL) free energy framework. eX-GL provides a robust connection between microscopic magnetic domains and macroscopic magnetic hysteresis using a data science perspective. This method employs physically meaningful features to analyze the energy landscape, providing insights into the mechanisms behind function. We obtained features representing both the microstructure and energy of the domain wall. The causes of iron loss were traced to the original domain structure, through which we could successfully distinguish and visualize the role of pinning as a promoting and resisting factor. We found that the reversal process was governed not only by general grain boundary pinning but also by segmented magnetic domains within the grain. This method revealed the complex interplay between magnetism and metallography and introduced a new means for transformative material design, bridging structures and functions. No potential conflict of interest relevant to this article was reported.

Royal Society of Chemistry (RSC) Acta Medica Okayama 2041-6520 16 26 2025 Collective motions in the primary coordination sphere: a critical functional framework for catalytic activity of the oxygen-evolving complex of photosystem II 12024 EN Hiroshi Isobe Takayoshi Suzuki Research Institute for Interdisciplinary Science, Okayama University Michihiro Suga Research Institute for Interdisciplinary Science, Okayama University Jian-Ren Shen Research Institute for Interdisciplinary Science, Okayama University Kizashi Yamaguchi Center for Quantum Information and Quantum Biology, Osaka University Photosynthetic water oxidation, vital for dioxygen production and light energy conversion, is catalyzed by the oxygen-evolving complex of photosystem II, where the inorganic Mn4CaO5 cluster acts as the catalytic core. In this study, we investigate the functional significance of collective motions of amino acid side chains within the primary coordination sphere of the Mn cluster, focusing on their role in modulating the energetic demands for catalytic transformations in the S3 state. We applied regularized canonical correlation analysis to quantitatively correlate the three-dimensional arrangement of coordinating atoms with catalytic driving forces computed via density functional theory. Our analysis reveals that distinct collective side chain motions profoundly influence the energetic requirements for structural reconfigurations of the Mn cluster, achieved through expansion and contraction of the ligand cavity while fine-tuning its geometry to stabilize key intermediates. Complementary predictions from a neural network-based machine learning model indicate that the coordination sphere exerts a variable energetic impact on the catalytic transformations of the Mn cluster, depending on the S-state environment. Integrated computational analyses suggest that the extended lifetime of the S3YZ˙ state, consistently observed after three flash illuminations, may result from slow, progressive protein dynamics that continuously reshape the energy landscape, thereby shifting the equilibrium positions of rapid, reversible chemical processes over time. Overall, our findings demonstrate that collective motions in the primary coordination sphere constitute an active, dynamic framework essential for the efficient execution of multi-electron catalysis under ambient conditions, while simultaneously achieving a high selectivity with irreversible nature required for effective 3O2 evolution. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0910-6340 2025 Innovations in paper-based analytical devices and portable absorption photometers for onsite analysis EN Sasikarn Seetasang Department of Chemistry, Faculty of Science and Technology, Thammasat University Mika I. Umeda Department of Chemistry, Okayama University Jianchao Ren Department of Chemistry, Okayama University Takashi Kaneta Department of Chemistry, Okayama University 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. No potential conflict of interest relevant to this article was reported.

IEEE Acta Medica Okayama 2833-2350 2023 Non Real-Time Data Transmission Performance Analysis of PROFINET for Assuring Data Transmission Quality 236 244 EN Takashi Norimatsu Graduate School of Natural Science and Technology, Okayama University Toshihiro Yamauchi Faculty of Environmental, Life, Natural Science and Technology, Okayama University The industrial Ethernet PROFINET supports three different data transmission modes: isochronous real-time (IRT), real-time (RT), and non real-time (NRT) transmitting data requiring hard, soft, and no real-time performances, respectively. The data transmission latency in the NRT increased with the amount of data transmission in the IRT, RT, and NRT. Therefore, the quality of data transmission in NRT may degrade as the amount of data transmission in IRT, RT, and NRT increases. In this study, we derived the average data transmission latency in an NRT with data transmission in IRT and RT by applying stochastic processes. This allowed us to maintain the quality of data transmission in the NRT by adjusting the number of devices connected to the network and the number of applications transmitting data in the NRT so that the average latency of data in the NRT does not exceed a certain value. No potential conflict of interest relevant to this article was reported.

International Union of Crystallography (IUCr) Acta Medica Okayama 1600-5767 58 3 2025 Enhanced estimation method for partial scattering functions in contrast variation small-angle neutron scattering via Gaussian process regression with prior knowledge of smoothness 976 991 EN Ippei Obayashi Center for Artificial Intelligence and Mathematical Data Science, Okayama University Shinya Miyajima Faculty of Science and Engineering, Iwate University Kazuaki Tanaka Global Center for Science and Engineering, Waseda University Koichi Mayumi Institute for Solid State Physics, University of Tokyo Contrast variation small-angle neutron scattering (CV-SANS) is a powerful tool for evaluating the structure of multi-component systems. In CV-SANS, the scattering intensities I(Q) measured with different scattering contrasts are de­com­posed into partial scattering functions S(Q) of the self- and cross-correlations between components. Since the measurement has a measurement error, S(Q) must be estimated statistically from I(Q). If no prior knowledge about S(Q) is available, the least-squares method is best, and this is the most popular estimation method. However, if prior knowledge is available, the estimation can be improved using Bayesian inference in a statistically authorized way. In this paper, we propose a novel method to improve the estimation of S(Q), based on Gaussian process regression using prior knowledge about the smoothness and flatness of S(Q). We demonstrate the method using synthetic core–shell and experimental polyrotaxane SANS data. No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Optimizing cell phone recycling for sustainable development: Integrating consumer behavior analysis, digital transformation strategies, and innovative incentive mechanisms EN Yuxin DU Graduate School of Environmental and Life Science, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Risk Assessment for Heavy Rainfall-Induced Geohazards using Surrogate Models EN SHIYING ZHENG Graduate School of Environmental and Life Science, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Tuning the 3D Structure of Graphene Oxide Assembly for Precisely Controlled Adsorption Properties EN ISRAEL ORTIZ ANAYA Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 数理統計学と情報理論を用いた限定的な事前情報下での意思決定補助手法に関する研究 EN Shuto TANABASHI Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 A Study of Hand Gestures for Controlling Video Games in Rehabilitation Exergame System EN RADHIATUL HUSNA Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Enhancements of Active Access-Point Configuration for IEEE 802.11n 2.4GHz Wireless Local-Area Network EN Mousumi Saha Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Social Factors in Motion: Quantifying the Dynamics of Dyad–Individual Collision Avoidance EN Adrien Thibaud Marie GREGORJ Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 A Study on Information Security for End-to-End Communication by TCP/IP Internet Protocol Suite EN Takashi NORIMATSU Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Design of the full-sky scanning strategy and systematic effect control in a cosmic microwave background probe EN Yusuke TAKASE Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Herbal medicine Ninjinyoeito inhibits RANKL-induced osteoclast differentiation and bone resorption activity by regulating NF-κB and MAPK pathway. EN KAUNG HTIKE Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2025 Celiac and superior mesenteric ganglia removal improves glucose tolerance and reduces pancreas islet size EN SHANSHAN XU Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 1572-9613 192 5 2025 The Intertwining Property for Laguerre Processes with a Fixed Parameter 58 EN Alexander I. Bufetov Steklov Mathematical Institute of RAS Yosuke Kawamoto Graduate School of Environmental, Life, Natural Science and Technology, Okayama University We investigate the intertwining of Laguerre processes of parameter α in different dimensions. We introduce a Feller kernel that depends on α and intertwines the α-Laguerre process in N + 1 dimensions and that in N dimensions. When α is a non-negative integer, the new kernel is interpreted in terms of the conditional distribution of the squared singular values: if the singular values of a unitarily invariant random matrix of order (N+α+1)×(N+1) are fixed, then the those of its (N+α) × N truncation matrix are given by the new kernel. No potential conflict of interest relevant to this article was reported.

Mathematical Society of Japan (Project Euclid) Acta Medica Okayama 0025-5645 77 2 2025 Period integrals (Givental's I-function) of Calabi–Yau hypersurface in CPN−1 as generating functions of intersection numbers on the moduli space of quasimaps 449 482 EN Masao JINZENJI Department of Mathematics, Okayama University Kohki MATSUZAKA Faculty of Integrated Media, Ikueikan University In this paper, we derive the generalized hypergeometric functions (period integrals) used in mirror computation of Calabi–Yau hypersurface in CPN−1 as generating functions of intersection numbers on the moduli space of quasimaps from CP1 with 2+1 marked points to CPN−1. No potential conflict of interest relevant to this article was reported.

Wiley Acta Medica Okayama 1744-9979 29 3 2025 Text mining for case report articles on “peritoneal dialysis” from PubMed database 459 470 EN Kazuhiko Fukushima Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Kenji Tsuji Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Hiroyuki Nakanoh Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Naruhiko Uchida Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Soichiro Haraguchi Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Shinji Kitamura Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Jun Wada Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Introduction: The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.<br> Methods: We performed text mining and analyzed all the abstracts of case reports on PD in the PubMed database. In total, 3137 case reports with abstracts related to “peritoneal dialysis” published from 1970 to 2021 were identified.<br> Results: A total of 280 347 relevant words were extracted from all the abstracts. Word frequency analysis, word dependency analysis, and word frequency transition analysis showed that peritonitis, encapsulating peritoneal sclerosis, and child have been important keywords. Theseanalyses not only reflected historical background but also anticipated future trends of PD study.<br> Conclusion: These suggest that text mining can be a good support for efficiently collecting PD information. No potential conflict of interest relevant to this article was reported.

MDPI Acta Medica Okayama 2227-7080 13 4 2025 An Implementation of Creep Test Assisting System with Dial Gauge Needle Reading and Smart Lighting Function for Laboratory Automation 139 EN Dezheng Kong Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Nobuo Funabiki Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Shihao Fang Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Mitsuhiro Noprianto Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Mitsuhiro Okayasu Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Pradini Puspitaningayu Department of Electrical Engineering, Universitas Negeri Surabaya 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. No potential conflict of interest relevant to this article was reported.

Springer Acta Medica Okayama 1029-8479 2024 12 2024 Elliptic virtual structure constants and generalizations of BCOV-Zinger formula to projective Fano hypersurfaces 135 EN Masao Jinzenji Department of Mathematics, Okayama University Ken Kuwata Department of General Education, National Institute of Technology, Kagawa College In this paper, we propose a method for computing genus 1 Gromov-Witten invariants of Calabi-Yau and Fano projective hypersurfaces using the B-model. Our formalism is applicable to both Calabi-Yau and Fano cases. In the Calabi-Yau case, significant cancellation of terms within our formalism occurs, resulting in an alternative representation of the BCOV-Zinger formula for projective Calabi-Yau hypersurfaces. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 67 1 2025 Tsetlin library on p-colored permutations and q-analogue 133 147 EN Yuto Nakagawa Mathematical Institute, Tohoku University Fumihiko Nakano Mathematical Institute, Tohoku University K. Brown [1] studied the random to top shuffle (the Tsetlin libary) by semigroup method. In this paper, (i) we extend his results to the colored permutation groups, and (ii) we consider a q-analogue of Tsetlin library which is different from what is studied in [1]. In (i), the results also extends those results for the top to random shuffle [4],[5], [6] to arbitrary distribution of choosing cards, but we still have derangement numbers in the multiplicity of each eigenvalues. In (ii), a version of q-analogue of derangement numbers by Chen-Rota [3] appears in the multiplicity of eigenvalues. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 67 1 2025 The characterizations of an alternating sign matrices using a triplet 101 131 EN Toyokazu Ohmoto Department of Mathematics, Faculty of Science, Okayama University An alternating sign matrix (ASM for short) is a square matrix which consists of 0, 1 and −1. In this paper, we characterize an ASM by showing a bijection between alternating sign matrix and six vertex model, and a bijection between six vertex model and height function. In order to show these bijections, we define a triplet (ai,j , ci,j , ri,j) for each entry of an ASM. We also define a track for each index of height function, and state more properties of height function. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 67 1 2025 The best constant of the Sobolev inequality corresponding to a bending problem of a string with a rectangular spring constant 75 99 EN Hiroyuki Yamagishi Tokyo Metropolitan College of Industrial Technology Yoshinori Kametaka Faculty of Engineering Science, Osaka University The Sobolev inequality shows that the supremum of a function defined on a whole line is estimated from the above by constant multiples of the potential energy. Among such constants, the smallest constant is the best constant. If we replace a constant by the best constant in the Sobolev inequality, then the equality holds for the best function. The aim of this paper is to find the best constant and the best function. In the background, there is a bending problem of a string with a rectangular spring constant. The Green function is an important function because the best constant and the best function consist of the Green function. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 67 1 2025 Locally serially coalescent classes of Lie algebras 67 74 EN Masanobu Honda Faculty of Pharmaceutical Sciences, Niigata University of Pharmacy and Medical and Life Sciences Takanori Sakamoto Department of Mathematics, University of Teacher Education Fukuoka We assume that a basic field k has zero characteristic. We show that any Fitting class is serially coalescent for locally finite Lie algebras. We also show that any class X satisfying N ≤ X ≤ ˆGr (e.g. Ft, B, Z, Gr, lN, rN, `e(◁)ˆA, ˆe(◁)ˆA, `Gr) is locally serially coalescent for locally finite Lie algebras, and, for any locally finite Lie algebra L, the X-ser radical of L is locally nilpotent. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 67 1 2025 The irreducibility and monogenicity of power-compositional trinomials 53 65 EN Joshua Harrington Department of Mathematics, Cedar Crest College Lenny Jones Department of Mathematics, Shippensburg University A polynomial f(x) ∈ Z[x] of degree N is called monogenic if f(x) is irreducible over Q and {1, θ, θ2, . . . , θN−1} is a basis for the ring of integers of Q(θ), where f(θ) = 0. Define F(x) := xm+Axm−1+B. In this article, we determine sets of conditions on m, A, and B, such that the power-compositional trinomial F(xpn) is monogenic for all integers n ≥ 0 and a given prime p. Furthermore, we prove the actual existence of infinite families of such trinomials F(x). No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 67 1 2025 The Quillen model structure on the category of diffeological spaces 29 51 EN Tadayuki Haraguchi Faculty of Education for Human Growth, Nara Gakuen University Kazuhisa Shimakawa Okayama University We construct on the category of diffeological spaces a Quillen model structure having smooth weak homotopy equivalences as the class of weak equivalences. No potential conflict of interest relevant to this article was reported.

Department of Mathematics, Faculty of Science, Okayama University Acta Medica Okayama 0030-1566 67 1 2025 Inseparable Gauss maps and dormant opers 1 28 EN Yasuhiro Wakabayashi Graduate School of Information Science and Technology, Osaka University The present paper aims to generalize a result by H. Kaji on Gauss maps in positive characteristic and establish an interaction with the study of dormant opers and Frobenius-projective structures. We prove a correspondence between dormant opers on a smooth projective variety and closed immersions into a projective space with purely inseparable Gauss map. By using this, we determine the subfields of the function field of a smooth curve in positive characteristic induced by Gauss maps. Moreover, this correspondence gives us a Frobenius-projective structure on a Fermat hypersurface. No potential conflict of interest relevant to this article was reported.

岡山大学教師教育開発センター Acta Medica Okayama 2186-1323 15 2025 普通科における STEAM 教育の捉え方の提言と授業および教員研修の開発　―総合的な探究の時間の充実を通して― 325 339 EN Mitsuo EBARA Okayama Prefectural Kurashiki Amaki High School (Graduate School of Education (Professional Degree Corse), Okayama University) Yoshihiko INADA Faculty of Education, Okayama University /10.18926/CTED/68502 　本実践報告では，普通科における STEAM 教育の捉え方を提言し，具体的な授業実践や教員研修を提案する。先行研究等で議論されている STEAM 教育の概念等から，STEAM 教育の根幹は創造性を涵養・刺激・発揮する教育であると捉え，STEAM 教育と最も親和性が高い総合的な探究の時間で授業実践を行った。取り組みの効果については，成果物の分析やヒアリング調査等を通して検証し，探究を自分事にできていることが示唆された。また，生徒が創造性を涵養・刺激・発揮する場面は，各教科等の授業内でも実現できると考え，「楽しく深まる授業」をテーマにした教員研修の開発を行った。この研修では授業開発を教員のチーム探究と捉え，総合的な探究の時間で生徒が取り組むワーク等も活用した。総合的な探究の時間を受けた経験のない教員が探究活動のプロセスを経験し，探究の楽しさやワクワク感を実感できることも狙っている。主体的で活発な全校研修が実現し，教員が探究的に授業創りを進めることのできる研修の仕掛けを見出すことができた。 No potential conflict of interest relevant to this article was reported.

岡山大学教師教育開発センター Acta Medica Okayama 2186-1323 15 2025 ５歳児を対象とした数量・図形感覚を育む保育所保育の実際と援助の在り方 45 58 EN Fuka SUZUKI Mitsu Kanagawa Certified childcare center Mika KATAYAMA Graduate School of Education, Okayama University /10.18926/CTED/68481 　本研究では、幼児期の終わりまでに育って欲しい10の姿のひとつである、「数量・図形、文字等への関心・感覚」に着目し、就学前の５歳児に焦点を当て、保育所の日常生活や遊びにおいて子どもがどのような数量・図形に関する事柄を経験しているのか、また、その経験を小学校１年生の算数科の学習内容と照らして検討した。さらに、子どもが園生活や遊びの中で数量・図形に関心をもって親しみ、学びを得ることを支える保育の在り方について検討した。<br> 　その結果、子どもは日常の中で主体的に数量・図形に親しむ経験をすると共に、その経験が小学校算数科の内容に連続する学びの基礎となっていることが明らかになった。また、保育士自身が小学校算数との繋がりを見通しながら、眼前の子どもの興味や関心に沿って援助することが専門的力量として求められることが示唆された。 No potential conflict of interest relevant to this article was reported.

岡山大学教師教育開発センター Acta Medica Okayama 2186-1323 15 2025 岡山大学教師教育開発センター紀要 第15号 全文（一括ダウンロード用） EN No potential conflict of interest relevant to this article was reported.

岡山大学資源植物科学研究所 Acta Medica Okayama 2186-4918 32 2025 岡山大学資源植物科学研究所報告 1 60 EN Institute of Plant Science and Resources, Okayama University No potential conflict of interest relevant to this article was reported.

MDPI Acta Medica Okayama 2076-3417 15 5 2025 Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management 2421 EN Yusuke Nomura Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Ziang Liu Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Tatsushi Nishi Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Perishable goods have a limited shelf life, and inventory should be discarded once it exceeds its shelf life. Finding optimal inventory management policies is essential since inefficient policies can lead to increased waste and higher costs. While many previous studies assume the perishable inventory is processed following the First In, First Out rule, it does not reflect customer purchasing behavior. In practice, customers' preferences are influenced by the shelf life and price of products. This study optimizes inventory and pricing policies for a perishable inventory management problem considering age-dependent probabilistic demand. However, introducing dynamic pricing significantly increases the complexity of the problem. To tackle this challenge, we propose eliminating irrational actions in dynamic programming without sacrificing optimality. To solve this problem more efficiently, we also implement a deep reinforcement learning algorithm, proximal policy optimization, to solve this problem. The results show that dynamic programming with action reduction achieved an average of 63.1% reduction in computation time compared to vanilla dynamic programming. In most cases, proximal policy optimization achieved an optimality gap of less than 10%. Sensitivity analysis of the demand model revealed a negative correlation between customer sensitivity to shelf lives or prices and total profits. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 0022-0396 429 2025 Polyhedral entire solutions in reaction-diffusion equations 529 565 EN Masaharu Taniguchi Research Institute for Interdisciplinary Science, Okayama University This paper studies polyhedral entire solutions to a bistable reaction-diffusion equation in Rn. We consider a pyramidal traveling front solution to the same equation in Rn+1. As the speed goes to infinity, its projection converges to an n-dimensional polyhedral entire solution. Conversely, as the time goes to -infinity, an n-dimensional polyhedral entire solution gives n-dimensional pyramidal traveling front solutions. The result in this paper suggests a correlation between traveling front solutions and entire solutions in general reaction-diffusion equations or systems. No potential conflict of interest relevant to this article was reported.

Elsevier BV Acta Medica Okayama 1341-321X 31 3 2025 Intention and potential determinants of COVID-19 vaccination among healthcare workers at a single university hospital in Japan, 2024–2025 pre-season 102660 EN Hideharu Hagiya Department of Infectious Diseases, Okayama University Hospital Yasushi Fujita Division of Infection Prevention and Control, Okayama University Hospital Takashi Kiguchi Division of Infection Prevention and Control, Okayama University Hospital Yohei Manabe Division of Infection Prevention and Control, Okayama University Hospital Background: Financial accessibility has emerged as a significant barrier to vaccine uptake following the cessation of universal public funding for coronavirus disease 2019 (COVID-19) vaccination programs. This investigation assessed the intention and determinant factors of COVID-19 vaccination among healthcare workers in Japan in the 2024–2025 pre-season.<br> Methods: A retrospective survey was conducted utilizing data collected from hospital staff at Okayama University Hospital, Japan, to inform the COVID-19 vaccination strategy in October 2024. The analysis evaluated demographic characteristics, vaccine intention, perceived barriers to vaccination, and maximum acceptable out-of-pocket expenditure.<br> Results: The study population of 3417 respondents comprised 843 medical doctors (24.7 %), 1131 nurses (33.1 %), 320 other medical staff (9.4 %), 286 dental doctors (8.4 %), and 627 administrative officers (18.3 %). At full cost, 2109 (61.7 %) indicated no intention to receive vaccination, while only 4.4 % expressed willingness to be vaccinated and 33.9 % remained undecided. With total self-payment, the vaccination acceptance rates were the highest and lowest among medical doctors (11.4 %) and nurses (1.0 %), respectively. Cost (38.1 %), followed by safety issues (29.5 %) and concerns regarding efficacy or medical necessity (20.3 %), emerged as the primary barrier. The projected vaccination intention increased to 43.9 % and 54.9 % at reduced self-pay costs of 3000 JPY and 5000 JPY, respectively.<br> Conclusions: Addressing financial constraints through policy interventions could be effective strategies in increasing overall vaccination coverage among healthcare workers. In addition, providing tailored education on vaccine safety, efficacy, and necessity may further facilitate increased vaccine uptake within this critical population. No potential conflict of interest relevant to this article was reported.

MDPI Acta Medica Okayama 2078-2489 16 2 2025 Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform 108 EN I. Nyoman Darma Kotama Graduate School of Natural Science and Technology, Okayama University Nobuo Funabiki Graduate School of Natural Science and Technology, Okayama University Yohanes Yohanie Fridelin Panduman Graduate School of Natural Science and Technology, Okayama University Komang Candra Brata Graduate School of Natural Science and Technology, Okayama University Anak Agung Surya Pradhana Graduate School of Natural Science and Technology, Okayama University Noprianto Graduate School of Natural Science and Technology, Okayama University I. Gusti Made Ngurah Desnanjaya Department of Computer System Engineering, Institute of Business and Technology Indonesia 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. No potential conflict of interest relevant to this article was reported.

Oxford University Press Acta Medica Okayama 2050-3911 2025 1 2024 Modification on Thermal Motion in Geant4 for Neutron Capture Simulation in Gadolinium Loaded Water 013C01 EN Y. Hino Department of Physics, Okayama University K. Abe Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo R. Asaka Department of Physics, Faculty of Science and Technology, Tokyo University of Science S. Han Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo M. Harada Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo M. Ishitsuka Department of Physics, Faculty of Science and Technology, Tokyo University of Science H. Ito Department of Physics, Faculty of Science and Technology, Tokyo University of Science S. Izumiyama Department of Physics, Tokyo Institute of Technology Y. Kanemura Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo Y. Koshio Department of Physics, Okayama University F. Nakanishi Department of Physics, Okayama University H. Sekiya Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo T. Yano Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo Neutron tagging is a fundamental technique for electron anti-neutrino detection via the inverse beta decay channel. A reported discrepancy in neutron detection efficiency between observational data and simulation predictions prompted an investigation into neutron capture modeling in Geant4. The study revealed that an overestimation of the thermal motion of hydrogen atoms in Geant4 impacts the fraction of captured nuclei. By manually modifying the Geant4 implementation, the simulation results align with calculations based on evaluated nuclear data and show good agreement with observables derived from the SK-Gd data. No potential conflict of interest relevant to this article was reported.

MDPI Acta Medica Okayama 2073-431X 14 1 2025 An Investigation of Hand Gestures for Controlling Video Games in a Rehabilitation Exergame System 25 EN Radhiatul Husna Department of Information and Communication Systems, Okayama University Komang Candra Brata Department of Information and Communication Systems, Okayama University Irin Tri Anggraini Department of Information and Communication Systems, Okayama University Nobuo Funabiki Department of Information and Communication Systems, Okayama University Alfiandi Aulia Rahmadani Department of Electrical Engineering, State Polytechnic of Malang Chih-Peng Fan Department of Electrical Engineering, National Chung Hsing University 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. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 0003-9527 249 1 2025 Traveling Front Solutions of Dimension n Generate Entire Solutions of Dimension (n-1) in Reaction-Diffusion Equations as the Speeds Go to Infinity 13 EN Hirokazu Ninomiya School of Interdisciplinary Mathematical Sciences, Meiji University Masaharu Taniguchi Research Institute for Interdisciplinary Science, Okayama University Multidimensional traveling front solutions and entire solutions of reaction-diffusion equations have been studied intensively. To study the relationship between multidimensional traveling front solutions and entire solutions, we study the reaction-diffusion equation with a bistable nonlinear term. It is well known that there exist multidimensional traveling front solutions with every speed that is greater than the speed of a one-dimensional traveling front solution connecting two stable equilibria. In this paper, we show that the limit of the n-dimensional multidimensional traveling front solutions as the speeds go to infinity generates an entire solution of the same reaction-diffusion equation in the (n-1)-dimensional space. No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers (IEEE) Acta Medica Okayama 1745-1345 E108-B 1 2024 Overloaded MIMO Spatial Multiplexing Independent of Antenna Setups 1 13 EN Satoshi Denno Faculty of Environmental, Life, Natural Science and Technology, Okayama University Takumi Sugimoto Graduate School of Natural Science and Technology, Okayama University Koki Matoba Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Yafei Hou Faculty of Environmental, Life, Natural Science and Technology, Okayama University This paper proposes overloaded MIMO spatial multiplexing that can increase the number of spatially multiplexed signal streams despite of the number of antennas on a terminal and that on a receiver. We propose extension of the channel matrix for the spatial multiplexing to achieve the superb multiplexing performance. Precoding based on the extended channel matrix plays a crucial role in carrying out such spatial multiplexing. We consider three types of QR-decomposition techniques for the proposed spatial multiplexing to improve the transmission performance. The transmission performance of the proposed spatial multiplexing is evaluated by computer simulation. The simulation reveals that the proposed overloaded MIMO spatial multiplexing can implement 6 stream-spatial multiplexing in a 2×2 MIMO system, i.e., the overloading ratio of 3.0. The superior transmission performance is achieved by the proposed overloaded MIMO spatial multiplexing with one of the QR-decomposition techniques. No potential conflict of interest relevant to this article was reported.

IOP Publishing Acta Medica Okayama 1475-7516 2024 12 2024 Multi-dimensional optimisation of the scanning strategy for the LiteBIRD space mission EN Y. Takase Okayama University, Department of Physics L. Vacher International School for Advanced Studies (SISSA) H. Ishino Okayama University, Department of Physics G. Patanchon ILANCE, CNRS, University of Tokyo International Research Laboratory L. Montier IRAP, Université de Toulouse, CNRS, CNES, UPS S.L. Stever Okayama University, Department of Physics K. Ishizaka Okayama University, Department of Physics Y. Nagano Okayama University, Department of Physics W. Wang Université Paris Cité, CNRS, Astroparticule et Cosmologie J. Aumont IRAP, Université de Toulouse, CNRS, CNES, UPS K. Aizawa The University of Tokyo, Department of Physics A. Anand Dipartimento di Fisica, Università di Roma Tor Vergata C. Baccigalupi International School for Advanced Studies (SISSA) M. Ballardini Dipartimento di Fisica e Scienze della Terra, Università di Ferrara A.J. Banday IRAP, Université de Toulouse, CNRS, CNES, UPS R.B. Barreiro Instituto de Fisica de Cantabria (IFCA, CSIC-UC) N. Bartolo Dipartimento di Fisica e Astronomia "G. Galilei", Università degli Studi di Padova S. Basak School of Physics, Indian Institute of Science Education and Research Thiruvananthapuram M. Bersanelli Dipartimento di Fisica, Università degli Studi di Milano M. Bortolami Dipartimento di Fisica e Scienze della Terra, Università di Ferrara T. Brinckmann Dipartimento di Fisica e Scienze della Terra, Università di Ferrara E. Calabrese School of Physics and Astronomy, Cardiff University P. Campeti INFN Sezione di Ferrara E. Carinos IRAP, Université de Toulouse, CNRS, CNES, UPS A. Carones International School for Advanced Studies (SISSA) F.J. Casas Instituto de Fisica de Cantabria (IFCA, CSIC-UC) K. Cheung Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, School of Natural Sciences, The University of Manchester L. Clermont Centre Spatial de Liège, Université de Liège F. Columbro Dipartimento di Fisica, Università La Sapienza A. Coppolecchia Dipartimento di Fisica, Università La Sapienza F. Cuttaia INAF, OAS Bologna G. D'Alessandro Dipartimento di Fisica, Università La Sapienza P. de Bernardis Dipartimento di Fisica, Università La Sapienza T. de Haan Institute of Particle and Nuclear Studies (IPNS), High Energy Accelerator Research Organization (KEK) E. de la Hoz CNRS-UCB International Research Laboratory, Centre Pierre Binétruy, UMI2007 S. Della Torre INFN Sezione Milano Bicocca P. Diego-Palazuelos Max Planck Institute for Astrophysics H.K. Eriksen Institute of Theoretical Astrophysics, University of Oslo J. Errard Université Paris Cité, CNRS, Astroparticule et Cosmologie F. Finelli INAF, OAS Bologna U. Fuskeland Institute of Theoretical Astrophysics, University of Oslo G. Galloni Dipartimento di Fisica e Scienze della Terra, Università di Ferrara M. Galloway Institute of Theoretical Astrophysics, University of Oslo M. Gervasi University of Milano Bicocca, Physics Department T. Ghigna International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles (QUP), High Energy Accelerator Research Organization (KEK) S. Giardiello School of Physics and Astronomy, Cardiff University C. Gimeno-Amo Instituto de Fisica de Cantabria (IFCA, CSIC-UC) E. Gjerløw Institute of Theoretical Astrophysics, University of Oslo R. González González Instituto de Astrofísica de Canarias A. Gruppuso INAF, OAS Bologna M. Hazumi International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles (QUP), High Energy Accelerator Research Organization (KEK) S. Henrot-Versillé Université Paris-Saclay, CNRS/IN2P3, IJCLab L.T. Hergt Department of Physics and Astronomy, University of British Columbia K. Ikuma Okayama University, Department of Physics K. Kohri Institute of Particle and Nuclear Studies (IPNS), High Energy Accelerator Research Organization (KEK) L. Lamagna Dipartimento di Fisica, Università La Sapienza M. Lattanzi INFN Sezione di Ferrara C. Leloup Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), UTIAS, The University of Tokyo M. Lembo Dipartimento di Fisica e Scienze della Terra, Università di Ferrara F. Levrier Laboratoire de Physique de l'École Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris A.I. Lonappan University of California, San Diego, Department of Physics M. López-Caniego Aurora Technology for the European Space Agency G. Luzzi Space Science Data Center, Italian Space Agency B. Maffei Université Paris-Saclay, CNRS, Institut d'Astrophysique Spatiale E. Martínez-González Instituto de Fisica de Cantabria (IFCA, CSIC-UC) S. Masi Dipartimento di Fisica, Università La Sapienza S. Matarrese Dipartimento di Fisica e Astronomia "G. Galilei", Università degli Studi di Padova F.T. Matsuda Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS) T. Matsumura Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), UTIAS, The University of Tokyo S. Micheli Dipartimento di Fisica, Università La Sapienza M. Migliaccio Dipartimento di Fisica, Università di Roma Tor Vergata M. Monelli Max Planck Institute for Astrophysics G. Morgante INAF, OAS Bologna B. Mot IRAP, Université de Toulouse, CNRS, CNES, UPS R. Nagata Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS) T. Namikawa Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), UTIAS, The University of Tokyo A. Novelli Dipartimento di Fisica, Università La Sapienza K. Odagiri Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS) S. Oguri Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS) R. Omae Okayama University, Department of Physics L. Pagano Dipartimento di Fisica e Scienze della Terra, Università di Ferrara D. Paoletti INAF, OAS Bologna F. Piacentini Dipartimento di Fisica, Università La Sapienza M. Pinchera INFN Sezione di Pisa G. Polenta Space Science Data Center, Italian Space Agency L. Porcelli Istituto Nazionale di Fisica Nucleare-aboratori Nazionali di Frascati (INFN-LNF) N. Raffuzzi Dipartimento di Fisica e Scienze della Terra, Università di Ferrara M. Remazeilles Instituto de Fisica de Cantabria (IFCA, CSIC-UC) A. Ritacco Dipartimento di Fisica, Università di Roma Tor Vergata M. Ruiz-Granda Instituto de Fisica de Cantabria (IFCA, CSIC-UC) Y. Sakurai Suwa University of Science D. Scott Department of Physics and Astronomy, University of British Columbia Y. Sekimoto Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS) M. Shiraishi Suwa University of Science G. Signorelli Dipartimento di Fisica, Università di Pisa R.M. Sullivan Department of Physics and Astronomy, University of British Columbia H. Takakura Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS) L. Terenzi INAF, OAS Bologna M. Tomasi Dipartimento di Fisica, Università degli Studi di Milano M. Tristram Université Paris-Saclay, CNRS/IN2P3, IJCLab B. van Tent Université Paris-Saclay, CNRS/IN2P3, IJCLab P. Vielva Instituto de Fisica de Cantabria (IFCA, CSIC-UC) I.K. Wehus Institute of Theoretical Astrophysics, University of Oslo B. Westbrook University of California, Berkeley, Department of Physics, Berkeley G. Weymann-Despres Université Paris-Saclay, CNRS/IN2P3, IJCLab E.J. Wollack NASA Goddard Space Flight Center M. Zannoni University of Milano Bicocca, Physics Department Y. Zhou International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles (QUP), High Energy Accelerator Research Organization (KEK) 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. No potential conflict of interest relevant to this article was reported.

Elsevier Acta Medica Okayama 1544-6123 65 2024 Currency portfolios and global foreign exchange ambiguity 105534 EN Takao Asano Faculty of Economics, Okayama University Xiaojing Cai Faculty of Economics, Okayama University Ryuta Sakemoto Faculty of Economics and Business, Hokkaido University This study investigates whether cross-sectional global foreign exchange (FX) ambiguity impacts currency portfolios. We observe that, in contrast to FX volatility, high FX ambiguity leads to high currency carry returns. We also reveal that FX ambiguity is weakly associated with the highest interest rate portfolio, but strongly related to the second highest interest rate portfolio. These results suggest that FX ambiguity captures elements of uncertainty that are not captured by FX volatility. In addition, FX ambiguity is not linked to returns on currency momentum and value portfolios. No potential conflict of interest relevant to this article was reported.

IARIA Acta Medica Okayama 1942-2644 17 3-4 2024 Deep Reinforcement Learning Enabled Adaptive Virtual Machine Migration Control in Multi-Stage Information Processing Systems 116 125 EN Yukinobu Fukushima Faculty of Environmental, Life, Natural Science and Technology Okayama University Yuki Koujitani Graduate School of Natural Science and Technology Okayama University Kazutoshi Nakane Graduate School of Information Science Nagoya University Yuya Tarutani Graduate School of Engineering Osaka University Celimuge Wu Graduate School of Informatics and Engineering The Univ. of Electro-Commun. Yusheng Ji Information Systems Architecture Research Division National Institute of Informatics Tokumi Yokohira Faculty of Interdisciplinary Science and Engineering in Health Systems Okayama University Tutomu Murase Graduate School of Information Science Nagoya University This paper tackles a Virtual Machine (VM) migration control problem to maximize the progress (accuracy) of information processing tasks in multi-stage information processing systems. The conventional methods for this problem are effective only for specific situations, such as when the system load is high. In this paper, in order to adaptively achieve high accuracy in various situations, we propose a VM migration method using a Deep Reinforcement Learning (DRL) algorithm. It is difficult to directly apply a DRL algorithm to the VM migration control problem because the size of the solution space of the problem dynamically changes according to the number of VMs staying in the system while the size of the agent’s action space is fixed in DRL algorithms. To cope with this difficulty, the proposed method divides the VM migration control problem into two problems: the problem of determining only the VM distribution (i.e., the proportion of the number of VMs deployed on each edge server) and the problem of determining the locations of all the VMs so that it follows the determined VM distribution. The former problem is solved by a DRL algorithm, and the latter by a heuristic method. This approach makes it possible to apply a DRL algorithm to the VM migration control problem because the VM distribution is expressed by a vector with a fixed number of dimensions and can be directly outputted by the agent. The simulation results confirm that our proposed method can adaptively achieve quasi-optimal accuracy in various situations with different link delays, types of the information processing tasks and the number of VMs. No potential conflict of interest relevant to this article was reported.

Springer Science and Business Media LLC Acta Medica Okayama 1871-4080 18 3 2023 Review: Nicotinic acetylcholine receptors to regulate important brain activity—what occurs at the molecular level? 769 774 EN Shigetoshi Nara Graduate School of Natural Science and Technology, Okayama University Yutaka Yamaguti Faculty of Information Engineering, Fukuoka Institute of Technology Ichiro Tsuda Chubu University Academy of Emerging Sciences/Center for Mathematical Science and Artificial Intelligence, Chubu University Herein, we briefly review the role of nicotinic acetylcholine receptors in regulating important brain activity by controlled release of acetylcholine from subcortical neuron groups, focusing on a microscopic viewpoint and considering the nonlinear dynamics of biological macromolecules associated with neuron activity and how they give rise to advanced brain functions of brain. No potential conflict of interest relevant to this article was reported.

Institute of Electrical and Electronics Engineers Acta Medica Okayama 2644-1284 5 2024 Skewing Technology for Permanent Magnet Synchronous Motors: A Comprehensive Review and Recent Trends 1251 1273 EN Ren Tsunata Graduate School of Environmental, Life, Natural Science and Technology, Okayama University Masatsugu Takemoto Graduate School of Environmental, Life, Natural Science and Technology, Okayama University This article gives a comprehensive overview of the current research trends in the skewing technique for permanent magnet synchronous motors (PMSMs). The skewing technique has been widely used in many applications to reduce the cogging torque and torque ripple in PMSMs. There are many ways to implement the skew, and new techniques are continually being developed. First, this article summarizes the types of skew structures and presents a survey of existing techniques. Specific emphasis is placed on what kind of skew structure is selected depending on the PMSM configuration. Second, the optimal value of the skew angle for each structure is comprehensively explained, and the discrepancy between theory and finite element analysis is discussed. The definition of skew angle varies across the literature, and one of the purposes of this article is to organize the definition in an easy-to-understand manner. In addition, this article offers three-dimensional finite element analysis (3D-FEA) results of various PMSMs employing the skew for quantitative comparison. Then, this article discusses the properties of PMSMs using the skew by structure and the latest trends, and finally describes future prospects. No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 Establishment and Analysis of Novel In Vitro 3D Cell Culture Models of the Fibrotic Tumor Microenvironment in Pancreatic Cancer EN Hiroyoshi TANAKA Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 The neural substrates of motion inhibitory control during Go/No-Go response inhibition task EN NAN ZHANG Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 Computer Vision Systems for Estimating Food Consumption in a Hospital Setting EN YUITA ARUM SARI Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 Spatiotemporal and Long-term Evaluation of Groundwater Recharge in a Steep Forested Catchment Western Japan by Hydrological Modeling EN HALAKE GUYO RENDILICHA Graduate School of Environmental and Life Science, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 The Recovery of Post-Tin-Mined Soils in Belitung Island, Indonesia EN HIRMAS FUADY PUTRA Graduate School of Environmental and Life Science, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 Monitoring of Riparian Infrastructure and Riverine Environment using AI and Air Vehicles EN Shijun PAN Graduate School of Environmental and Life Science, Okayama University No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 Recognition Methodology of Deformable String State Using Visual Information Processing for Robotic Manipulation EN JUNXIANG WANG Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 ELiPS-based Ciphertext-Policy Attribute-Based Encryption EN LE HOANG ANH Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 A Study of Integrated Server Platform for IoT Application Systems EN YOHANES YOHANIE FRIDELIN PANDUMAN Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 A Study of Uniform Job Assignment Algorithms to Workers in User-PC Computing System EN XUDONG ZHOU Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 A Study of Java Answer Code Validation Program and JavaScript Code Modification Problems EN KHAING HSU WAI Graduate School of Natural Science and Technology, Okayama university No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2024 クロスカルメロースナトリウムの塩基性環境下における高吸水性ゲル化を利用した新規徐放化システムの開発 EN Masato GOMI Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University No potential conflict of interest relevant to this article was reported.