start-ver=1.4 cd-journal=joma no-vol=5 cd-vols= no-issue= article-no= start-page=39 end-page=45 dt-received= dt-revised= dt-accepted= dt-pub-year=2025 dt-pub=20250331 dt-online= en-article= kn-article= en-subject= kn-subject= en-title=Practicing the Innovation Loop: 2024 Report on Advanced Hospital Practicums and Future Challenges kn-title=ƒCƒmƒx[ƒVƒ‡ƒ“ƒ‹[ƒv‚ÌŽÀ‘HF2024”N“xæi•a‰@ŽÀK•ñ‚Æ–¢—ˆ‰Û‘è en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name=HARADANahoko en-aut-sei=HARADA en-aut-mei=Nahoko kn-aut-name=Œ´“c“Þ•äŽq kn-aut-sei=Œ´“c kn-aut-mei=“Þ•äŽq aut-affil-num=1 ORCID= en-aut-name=TAKAHASHISatoshi en-aut-sei=TAKAHASHI en-aut-mei=Satoshi kn-aut-name=ûü‹´’q kn-aut-sei=ûü‹´ kn-aut-mei=’q aut-affil-num=2 ORCID= en-aut-name=MORITomoaki en-aut-sei=MORI en-aut-mei=Tomoaki kn-aut-name=X—F–¾ kn-aut-sei=X kn-aut-mei=—F–¾ aut-affil-num=3 ORCID= en-aut-name=HIKASAHaruka en-aut-sei=HIKASA en-aut-mei=Haruka kn-aut-name=“úŠ}° kn-aut-sei=“úŠ} kn-aut-mei=° aut-affil-num=4 ORCID= en-aut-name=SHISHIDOKeisuke en-aut-sei=SHISHIDO en-aut-mei=Keisuke kn-aut-name=Ž³ŒËŒ\‰î kn-aut-sei=Ž³ŒË kn-aut-mei=Œ\‰î aut-affil-num=5 ORCID= en-aut-name=MAGARIMasaki en-aut-sei=MAGARI en-aut-mei=Masaki kn-aut-name=‹È³Ž÷ kn-aut-sei=‹È kn-aut-mei=³Ž÷ aut-affil-num=6 ORCID= en-aut-name=WATANABEToyohiko en-aut-sei=WATANABE en-aut-mei=Toyohiko kn-aut-name=“nç³–L•F kn-aut-sei=“nç³ kn-aut-mei=–L•F aut-affil-num=7 ORCID= en-aut-name=WangJin en-aut-sei=Wang en-aut-mei=Jin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=MORITAMizuki en-aut-sei=MORITA en-aut-mei=Mizuki kn-aut-name=X“cŽ÷ kn-aut-sei=X“c kn-aut-mei=Ž÷ aut-affil-num=9 ORCID= affil-num=1 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=2 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=3 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=4 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=5 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=6 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=7 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=8 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ affil-num=9 en-affil=Academic Field of Interdisciplinary Science and Engineering in Health Systems Health Sciences, Okayama university kn-affil=‰ªŽR‘åŠwŠwpŒ¤‹†‰@ƒwƒ‹ƒXƒVƒXƒeƒ€“‡‰ÈŠwŠwˆæ END start-ver=1.4 cd-journal=joma no-vol=127 cd-vols= no-issue=5 article-no= start-page=1398 end-page=1406 dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220509 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Tactile angle discriminability improvement: contributions of working memory training and continuous attended sensory input en-subtitle= kn-subtitle= en-abstract= kn-abstract=Perceptual learning is commonly assumed to enhance perception through continuous attended sensory input. However, learning is generalizable to performance in untrained stimuli and tasks. Although previous studies have observed a possible generalization effect across tasks as a result of working memory (WM) training, comparisons of the contributions of WM training and continuous attended sensory input to perceptual learning generalization are still rare. Therefore, we compared which factors contributed most to perceptual generalization and investigated which skills acquired during WM training led to tactile generalization across tasks. Here, a Braille-like dot pattern matching n-back WM task was used as the WM training task, with four workload levels (0, 1, 2, and 3-back levels). A tactile angle discrimination (TAD) task was used as a pre- and posttest to assess improvements in tactile perception. Between tests, four subject groups were randomly assigned to four different workload n-back tasks to consecutively complete three sessions of training. The results showed that tactile n-back WM training could enhance TAD performance, with the 3-back training group having the highest TAD threshold improvement rate. Furthermore, the rate of WM capacity improvement on the 3-back level across training sessions was correlated with the rate of TAD threshold improvement. These findings suggest that continuous attended sensory input and enhanced WM capacity can lead to improvements in TAD ability, and that greater improvements in WM capacity can predict greater improvements in TAD performance.
NEW & NOTEWORTHY Perceptual learning is not always specific to the trained task and stimuli. We demonstrate that both continuous attended sensory input and improved WM capacity can be used to enhance tactile angle discrimination (TAD) ability. Moreover, WM capacity improvement is important in generalizing the training effect to the TAD ability. These findings contribute to understanding the mechanism of perceptual learning generalization across tasks. en-copyright= kn-copyright= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=LiHuazhi en-aut-sei=Li en-aut-mei=Huazhi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=LiuYulong en-aut-sei=Liu en-aut-mei=Yulong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=YuYiyang en-aut-sei=Yu en-aut-mei=Yiyang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=YuJiabin en-aut-sei=Yu en-aut-mei=Jiabin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=TangXiaoyu en-aut-sei=Tang en-aut-mei=Xiaoyu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=YangJingjing en-aut-sei=Yang en-aut-mei=Jingjing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil=School of Psychological and Cognitive Sciences, Peking University kn-affil= affil-num=2 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=5 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=College of Information Engineering, China Jiliang University kn-affil= affil-num=8 en-affil=School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University kn-affil= affil-num=9 en-affil=School of Computer Science and Technology, Changchun University of Science and Technology kn-affil= affil-num=10 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=11 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=12 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=continuous attended sensory input kn-keyword=continuous attended sensory input en-keyword=perceptual learning kn-keyword=perceptual learning en-keyword=tactile angle discriminability kn-keyword=tactile angle discriminability en-keyword=tactile generalization kn-keyword=tactile generalization en-keyword=working memory training kn-keyword=working memory training END start-ver=1.4 cd-journal=joma no-vol=240 cd-vols= no-issue=3 article-no= start-page=773 end-page=789 dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220116 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Global surface features contribute to human haptic roughness estimations en-subtitle= kn-subtitle= en-abstract= kn-abstract=Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear. In the present study, a series of roughness estimation experiments was performed to investigate how global features affect human roughness perception. In each experiment, participants were asked to estimate the roughness of a series of haptic stimuli that combined local features (raised dots) and global features (sinusoidal-like curves). Experiments were designed to reveal whether global features changed their haptic roughness estimation. Furthermore, the present study tested whether the exploration method (direct, indirect, and static) changed haptic roughness estimations and examined the contribution of global features to roughness estimations. The results showed that sinusoidal-like curved surfaces with small periods were perceived to be rougher than those with large periods, while the direction of finger movement and indirect exploration did not change this phenomenon. Furthermore, the influence of global features on roughness was modulated by local features, regardless of whether raised-dot surfaces or smooth surfaces were used. Taken together, these findings suggested that an objectfs global features contribute to haptic roughness perceptions, while local features change the weight of the contribution that global features make to haptic roughness perceptions. en-copyright= kn-copyright= en-aut-name=LiHuazhi en-aut-sei=Li en-aut-mei=Huazhi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=LiuYulong en-aut-sei=Liu en-aut-mei=Yulong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=ZhouMengni en-aut-sei=Zhou en-aut-mei=Mengni kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=LiQingqing en-aut-sei=Li en-aut-mei=Qingqing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=YangJingjing en-aut-sei=Yang en-aut-mei=Jingjing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=ShaoShiping en-aut-sei=Shao en-aut-mei=Shiping kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=School of Psychological and Cognitive Sciences, Peking University kn-affil= affil-num=5 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Department of Teacher Education, Wenzhou University kn-affil= affil-num=8 en-affil=School of Computer Science and Technology, Changchun University of Science and Technology kn-affil= affil-num=9 en-affil=School of Social Welfare, Yonsei University kn-affil= affil-num=10 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=11 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=12 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=Haptic roughness perception kn-keyword=Haptic roughness perception en-keyword=Raised-dot surface kn-keyword=Raised-dot surface en-keyword=Local feature kn-keyword=Local feature en-keyword=Global feature kn-keyword=Global feature END start-ver=1.4 cd-journal=joma no-vol=11 cd-vols= no-issue=15 article-no= start-page=7049 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20210730 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=A New Method for Haptic Shape Discriminability Detection en-subtitle= kn-subtitle= en-abstract= kn-abstract=Touch shape discrimination is not only closely related to tactile mechanoreceptors but also higher cognitive function. However, previous shape discrimination methods are difficult to complete in a short time, and the devices are complicated to operate and not user-friendly for nonprofessionals. Here, we propose a new method, the evaluation quantity of which is the angle discrimination threshold. In addition, to make this method easy to use for nonprofessionals, we designed a haptic angle sorting system, including the device and software. To evaluate this method, the angle sorting and two-angle discrimination experiments were compared, and it was found that participants spent significantly less time in the former experiment than in the latter. At the same time, there is a strong correlation between the performance of angle sorting and two-angle discrimination, which shows that the angle threshold obtained by the new method can also be used to evaluate the ability of touch discrimination. Moreover, the angle sorting results of different age groups also further demonstrate the feasibility of the method. The efficiency of this new method and the effectiveness of the system also provide a convenient means for evaluating haptic shape discrimination, which may have potential clinical application value in the early diagnosis of peripheral neuropathy and even in the evaluation of cognitive function. en-copyright= kn-copyright= en-aut-name=LiuYulong en-aut-sei=Liu en-aut-mei=Yulong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=YuYiyang en-aut-sei=Yu en-aut-mei=Yiyang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=LiHuazhi en-aut-sei=Li en-aut-mei=Huazhi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= affil-num=1 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=5 en-affil=The School of Psychological and Cognitive Sciences, Peking University kn-affil= affil-num=6 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=8 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=9 en-affil=Department of Psychology, Suzhou University of Science and Technology, kn-affil= affil-num=10 en-affil=Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences kn-affil= en-keyword=haptic angle discrimination kn-keyword=haptic angle discrimination en-keyword=angle sort kn-keyword=angle sort en-keyword=discrimination threshold kn-keyword=discrimination threshold en-keyword=haptic device kn-keyword=haptic device en-keyword=human haptics kn-keyword=human haptics END start-ver=1.4 cd-journal=joma no-vol=11 cd-vols= no-issue=6 article-no= start-page=2041669520981096 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2020 dt-pub=20201231 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Semantic Congruency Modulates the Effect of Attentional Load on the Audiovisual Integration of Animate Images and Sounds en-subtitle= kn-subtitle= en-abstract= kn-abstract=Attentional processes play a complex and multifaceted role in the integration of input from different sensory modalities. However, whether increased attentional load disrupts the audiovisual (AV) integration of common objects that involve semantic content remains unclear. Furthermore, knowledge regarding how semantic congruency interacts with attentional load to influence the AV integration of common objects is limited. We investigated these questions by examining AV integration under various attentional-load conditions. AV integration was assessed by adopting an animal identification task using unisensory (animal images and sounds) and AV stimuli (semantically congruent AV objects and semantically incongruent AV objects), while attentional load was manipulated by using a rapid serial visual presentation task. Our results indicate that attentional load did not attenuate the integration of semantically congruent AV objects. However, semantically incongruent animal sounds and images were not integrated (as there was no multisensory facilitation), and the interference effect produced by the semantically incongruent AV objects was reduced by increased attentional-load manipulations. These findings highlight the critical role of semantic congruency in modulating the effect of attentional load on the AV integration of common objects. en-copyright= kn-copyright= en-aut-name=LiQingqing en-aut-sei=Li en-aut-mei=Qingqing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYiyang en-aut-sei=Yu en-aut-mei=Yiyang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=WuFengxia en-aut-sei=Wu en-aut-mei=Fengxia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=2 en-affil=Department of Psychology, Suzhou University of Science and Technology kn-affil= affil-num=3 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=4 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=5 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=8 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=audiovisual integration kn-keyword=audiovisual integration en-keyword=common object kn-keyword=common object en-keyword=attentional load kn-keyword=attentional load en-keyword=semantic congruency kn-keyword=semantic congruency en-keyword=dual-task paradigm kn-keyword=dual-task paradigm END start-ver=1.4 cd-journal=joma no-vol=122 cd-vols= no-issue=5 article-no= start-page=1918 end-page=1927 dt-received= dt-revised= dt-accepted= dt-pub-year=2019 dt-pub=20191025 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Tactile angle discriminability improvement: roles of training time intervals and different types of training tasks en-subtitle= kn-subtitle= en-abstract= kn-abstract=Perceptual learning, which is not limited to sensory modalities such as vision and touch, emerges within a training session and between training sessions and is accompanied by the remodeling of neural connections in the cortex. However, limited knowledge exists regarding perceptual learning between training sessions. Although tactile studies have paid attention to between-session learning effects, there have been few studies asking fundamental questions regarding whether the time interval between training sessions affects tactile perceptual learning and generalization across tactile tasks. We investigated the effects of different training time intervals on the consecutive performance of a tactile angle discrimination (AD) task and a tactile orientation discrimination (OD) task training on tactile angle discriminability. The results indicated that in the short-interval training group, AD task performance significantly improved in the early stage of learning and nearly plateaued in the later stage, whereas in the long-interval training group, significant improvement was delayed and then also nearly plateaued in the later stage; additionally, improved OD task performance resulted in improved AD task performance. These findings suggest that training time interval affects the early stage of learning but not the later stage and that generalization occurs between different types of tactile tasks. en-copyright= kn-copyright= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=YuJiabin en-aut-sei=Yu en-aut-mei=Jiabin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil= Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=5 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=between-session learning kn-keyword=between-session learning en-keyword=generalization kn-keyword=generalization en-keyword=tactile angle discriminability kn-keyword=tactile angle discriminability en-keyword=training time interval kn-keyword=training time interval END start-ver=1.4 cd-journal=joma no-vol=5 cd-vols= no-issue=8 article-no= start-page=e02141 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2019 dt-pub=201908 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Stroking hardness changes the perception of affective touch pleasantness across different skin sites en-subtitle= kn-subtitle= en-abstract= kn-abstract=Human unmyelinated tactile afferents (CT afferents) in hairy skin are thought to be involved in the transmission of affective aspects of touch. How the perception of affective touch differs across human skin has made substantial progress; however, the majority of previous studies have mainly focused on the relationship between stroking velocities and pleasantness ratings. Here, we investigate how stroking hardness affects the perception of affective touch. Affective tactile stimulation was given with four different hardness of brushes a three different forces, which were presented to either palm or forearm. To quantify the physical factors of the stimuli (brush hardness), ten naive, healthy participants assessed brush hardness using a seven-point scale. Based on these ten participants, five more participants were added to rate the hedonic value of brush stroking using a visual analogue scale (VAS). We found that pleasantness ratings over the skin resulted in a preference for light, soft stroking, which was rated as more pleasant when compared to heavy, hard stroking. Our results show that the hairy skin of the forearm is more susceptible to stroking hardness than the glabrous of the palm in terms of the perception of pleasantness. These findings of the current study extend the growing literature related to the effect of stroking characteristics on pleasantness ratings. en-copyright= kn-copyright= en-aut-name=YuJiabin en-aut-sei=Yu en-aut-mei=Jiabin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=2 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=5 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=Neuroscience kn-keyword=Neuroscience en-keyword=Pleasantness ratings kn-keyword=Pleasantness ratings en-keyword=Affective tactile kn-keyword=Affective tactile en-keyword=Physical factors kn-keyword=Physical factors en-keyword=CT afferents kn-keyword=CT afferents en-keyword=Stroking hardness kn-keyword=Stroking hardness END start-ver=1.4 cd-journal=joma no-vol=5 cd-vols= no-issue=8 article-no= start-page=e02141 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2019 dt-pub=20190831 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Stroking hardness changes the perception of affective touch pleasantness across different skin sites en-subtitle= kn-subtitle= en-abstract= kn-abstract=Human unmyelinated tactile afferents (CT afferents) in hairy skin are thought to be involved in the transmission of affective aspects of touch. How the perception of affective touch differs across human skin has made substantial progress; however, the majority of previous studies have mainly focused on the relationship between stroking velocities and pleasantness ratings. Here, we investigate how stroking hardness affects the perception of affective touch. Affective tactile stimulation was given with four different hardness of brushes at three different forces, which were presented to either palm or forearm. To quantify the physical factors of the stimuli (brush hardness), ten na?ve, healthy participants assessed brush hardness using a seven-point scale. Based on these ten participants, five more participants were added to rate the hedonic value of brush stroking using a visual analogue scale (VAS). We found that pleasantness ratings over the skin resulted in a preference for light, soft stroking, which was rated as more pleasant when compared to heavy, hard stroking. Our results show that the hairy skin of the forearm is more susceptible to stroking hardness than the glabrous of the palm in terms of the perception of pleasantness. These findings of the current study extend the growing literature related to the effect of stroking characteristics on pleasantness ratings. en-copyright= kn-copyright= en-aut-name=YuJiabin en-aut-sei=Yu en-aut-mei=Jiabin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=2 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=5 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary, Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=Affective tactile kn-keyword=Affective tactile en-keyword=CT afferents; Neuroscience kn-keyword=CT afferents; Neuroscience en-keyword=Physical factors kn-keyword=Physical factors en-keyword=Pleasantness ratings kn-keyword=Pleasantness ratings en-keyword=Stroking hardness. kn-keyword=Stroking hardness. END start-ver=1.4 cd-journal=joma no-vol=126 cd-vols= no-issue=8 article-no= start-page=1134 end-page=1139 dt-received= dt-revised= dt-accepted= dt-pub-year=2005 dt-pub=20058 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Intermolecular-medium and intramolecular-weak hydrogen bonding chains in the crystals of chiral trifluoromethylated amino alcohols en-subtitle= kn-subtitle= en-abstract= kn-abstract=

A structural feature of hydrogen bonding chains found in the crystals of trifluoromethylated amino alcohols is reported. Hydrogen bondings of 3-(N,N-dialkylamino)-1,1,1-trifluoro-2-propanols construct chiral spiral hydrogen bonding chains. Lone pairs on the nitrogen atoms of the amino alcohols participate in two hydrogen bondings. Detailed structural analysis of the hydrogen bonds of the 3-(N,N-dimethylamino)-1,1,1-trifluoro-2-propanol suggested that the chain built up with alternating intermolecular medium and intramolecular weak hydrogen bonds. The medium intermolecular hydrogen bond, which transfers a proton from the hydroxy group to the amino nitrogen, would make a tentative zwitterionic form of the molecule. Then, electrostatic attraction between the charges in the zwitterion centers induced a weak intramolecular hydrogen bond.

en-copyright= kn-copyright= en-aut-name=KatagiriToshimasa en-aut-sei=Katagiri en-aut-mei=Toshimasa kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=FujiwaraYasuyuki en-aut-sei=Fujiwara en-aut-mei=Yasuyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=UneyamaKenji en-aut-sei=Uneyama en-aut-mei=Kenji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University affil-num=3 en-affil= kn-affil=Okayama University affil-num=4 en-affil= kn-affil=Okayama University en-keyword=hydrogen bond kn-keyword=hydrogen bond en-keyword=weak hydrogen bond kn-keyword=weak hydrogen bond en-keyword=medium hydrogen bond kn-keyword=medium hydrogen bond en-keyword=hydrogen bonding chain kn-keyword=hydrogen bonding chain en-keyword=trifluoromethylated amino alcohols kn-keyword=trifluoromethylated amino alcohols en-keyword=chiral recognition kn-keyword=chiral recognition en-keyword=structure of hydrogen bond kn-keyword=structure of hydrogen bond END start-ver=1.4 cd-journal=joma no-vol=33 cd-vols= no-issue=1 article-no= start-page=19 end-page=30 dt-received= dt-revised= dt-accepted= dt-pub-year=1998 dt-pub=19981130 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Measurement of saturated solubilities and diffusion coefficients of pure gases to mineral oil en-subtitle= kn-subtitle= en-abstract= kn-abstract=The present paper deals with measurements of the diffusion coefficients as well as the saturated solubilities of single component gases such as N(2), O(2) and CO(2) to a mineral oil. The method to determine the diffusivity is based upon measuring the pressure changes caused by the one-dimensional diffusion between the gas and the oil enclosed in an airtight container. For N(2) and O(2) the profiles of the measured pressure changes agree well with those predicted by diffusion theory, whereas that is not the case with CO(2). Although the reason why CO(2) does not seem to obey diffusion theory has yet to be studied, it may suggest the possibility that the diffusion coefficient varies with the pressure, considering that the range of pressure change in the diffusivity measurement was much obtained by this method fell within }30% around the average. Moreover the solubility measurements have made clear that Henry's law holds true between the three pure gases and the oils tested, and that O(2) and CO(2) dissolve into the oil approximately two and ten times more, respectively, than N(2). en-copyright= kn-copyright= en-aut-name=WashioSeiichi en-aut-sei=Washio en-aut-mei=Seiichi kn-aut-name=˜h”ö½ˆê kn-aut-sei=˜h”ö kn-aut-mei=½ˆê aut-affil-num=1 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name=‚‹´’q kn-aut-sei=‚‹´ kn-aut-mei=’q aut-affil-num=2 ORCID= en-aut-name=ImotoChikashi en-aut-sei=Imoto en-aut-mei=Chikashi kn-aut-name=ˆäŒ³’q‰ÂŽŠ kn-aut-sei=ˆäŒ³ kn-aut-mei=’q‰ÂŽŠ aut-affil-num=3 ORCID= en-aut-name=YoshidaAtsumasa en-aut-sei=Yoshida en-aut-mei=Atsumasa kn-aut-name=‹g“c“ij kn-aut-sei=‹g“c kn-aut-mei=“ij aut-affil-num=4 ORCID= affil-num=1 en-affil= kn-affil=Department of Machanical Engineering affil-num=2 en-affil= kn-affil=Department of Machanical Engineering affil-num=3 en-affil= kn-affil=Kayaba Industry Co., Ltd. affil-num=4 en-affil= kn-affil=Department of Machanical Engineering END start-ver=1.4 cd-journal=joma no-vol=7 cd-vols= no-issue=1 article-no= start-page=1 end-page=14 dt-received= dt-revised= dt-accepted= dt-pub-year=2000 dt-pub=20000920 dt-online= en-article= kn-article= en-subject= kn-subject= en-title=Automated observation of sea surface eddy flux on a cruising ship kn-title=‘D”•‚ð—p‚¢‚½ŠC–Ê——¬ƒtƒ‰ƒbƒNƒX‚ÌŽ©“®ŠÏ‘ª en-subtitle= kn-subtitle= en-abstract= kn-abstract=Sea surface eddy fluxes were evaluated with the eddy correlation method including ship motion correction for the wind vector components. Previous ship motion correction algorithm was revised as a simple scheme setting a motion sensor at the same place with the sonic anemometer. This revised eddy flux system was mounted as a routine continuous measurement system on the R/V 'Mirai' of Japan Marine Science and Technology Center. The first cruise was conducted at the tropical weatern Pacific in June 2000. Continuous sea surface fluxes were obtained and the data quality was checked with some parameters. This system is planned to be developed as a automated data processing system including ship motion correction and real-time flux evaluation system. These eddy fluxes can be integrated with the bulk fluxes and radiation fluxes to understand sea surface heat balance over the global ocean. en-copyright= kn-copyright= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name=‚‹´‘Ži kn-aut-sei=‚‹´ kn-aut-mei=‘Ži aut-affil-num=1 ORCID= en-aut-name=TsukamotoOsamu en-aut-sei=Tsukamoto en-aut-mei=Osamu kn-aut-name=’Ë–{C kn-aut-sei=’Ë–{ kn-aut-mei=C aut-affil-num=2 ORCID= en-aut-name=IshidaHiroshi en-aut-sei=Ishida en-aut-mei=Hiroshi kn-aut-name=ΓcœAŽj kn-aut-sei=Γc kn-aut-mei=œAŽj aut-affil-num=3 ORCID= en-aut-name=YoneyamaKunio en-aut-sei=Yoneyama en-aut-mei=Kunio kn-aut-name=•ÄŽR–M•v kn-aut-sei=•ÄŽR kn-aut-mei=–M•v aut-affil-num=4 ORCID= affil-num=1 en-affil= kn-affil=‰ªŽR‘åŠw‘åŠw‰@Ž©‘R‰ÈŠwŒ¤‹†‰È affil-num=2 en-affil= kn-affil=‰ªŽR‘åŠw—Šw•”’n‹…‰ÈŠw‰È affil-num=3 en-affil= kn-affil=_ŒË¤‘D‘åŠw/’n‹…ŠÏ‘ªƒtƒƒ“ƒeƒBƒA affil-num=4 en-affil= kn-affil=ŠC—m‰ÈŠw‹ZpƒZƒ“ƒ^[ en-keyword=Sea surface fliux kn-keyword=Sea surface fliux en-keyword=Automated observation kn-keyword=Automated observation en-keyword=Eddy correlation method kn-keyword=Eddy correlation method END start-ver=1.4 cd-journal=joma no-vol= cd-vols= no-issue= article-no= start-page= end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2006 dt-pub=20060324 dt-online= en-article= kn-article= en-subject= kn-subject= en-title=Œ‹»HŠw‚ðŽwŒü‚µ‚½ƒgƒŠƒtƒ‹ƒIƒ“ûŽ_ƒGƒXƒeƒ‹‚Ì…‘fŒ‹‡‚ÉŠÖ‚·‚錤‹† kn-title=Study on Hydrogen Bonding Systems of Trifluorolactates for Crystal Engineering en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name=ûü‹´‘ kn-aut-sei=ûü‹´ kn-aut-mei=‘ aut-affil-num=1 ORCID= affil-num=1 en-affil= kn-affil=‰ªŽR‘åŠw END start-ver=1.4 cd-journal=joma no-vol= cd-vols= no-issue= article-no= start-page= end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2005 dt-pub=20050325 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=ŠC–Êã‚É‚¨‚¯‚é——¬ƒtƒ‰ƒbƒNƒXƒŠƒAƒ‹ƒ^ƒCƒ€ŠÏ‘ªƒVƒXƒeƒ€‚ÌŠJ”­‚ÉŠÖ‚·‚錤‹† en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name=ûü‹´‘Ži kn-aut-sei=ûü‹´ kn-aut-mei=‘Ži aut-affil-num=1 ORCID= affil-num=1 en-affil= kn-affil=‰ªŽR‘åŠw en-keyword=——¬ƒtƒ‰ƒbƒNƒXƒŠƒAƒ‹ƒ^ƒCƒ€ŠÏ‘ªƒVƒXƒeƒ€ kn-keyword=——¬ƒtƒ‰ƒbƒNƒXƒŠƒAƒ‹ƒ^ƒCƒ€ŠÏ‘ªƒVƒXƒeƒ€ END start-ver=1.4 cd-journal=joma no-vol= cd-vols= no-issue= article-no= start-page= end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2001 dt-pub=20010325 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=–û‚É‚¨‚¯‚é‹C‘Ì‚ÌŠgŽU–â‘è‚ÌŒ¤‹† en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name= en-aut-sei= en-aut-mei= kn-aut-name=ûü‹´’q kn-aut-sei=ûü‹´ kn-aut-mei=’q aut-affil-num=1 ORCID= affil-num=1 en-affil= kn-affil=‰ªŽR‘åŠw END