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- Yoshiko Saito
- Hirohisa Isogai
- Kiyohisa Natsume
Previous studies on three-dimensional multiple object tracking (3D-MOT) training have primarily been conducted in controlled laboratory settings, with limited evidence on athletes’ self-training at home. This study examined the effects of home-based 3D-MOT training using the NeuroTracker X (NTX) application on cognitive performance and brain activity in 29 university soccer players. Participants in the NTX group demonstrated significant post-training improvements in NTX scores (p < .001) and 2-back task accuracy (p = .045), which indicated enhanced 3D-MOT ability, working memory, and attentional functions. Brain wave recordings during the 2-back task revealed a significant increase in alpha power (p < .001). This provided novel evidence that NTX self-training modulated brain activity associated with working memory and attentional control among athletes. These findings highlight the potential of combining NTX interventions with EEG assessments and suggest that NTX-based 3D-MOT self-training may be a practical tool for enhancing attentional aspects of cognitive function in athletes.
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Article Biology Life Sciences and Basic Medicine
- Kiyohisa Natsume
- Junya Takaki
Karate exhibits characteristics of several movement forms. This study investigated and compared cerebral oxygenated hemoglobin (∆oxyHb) levels, an indicator of brain activity, during form performances in Karate beginners. Significant increases in ∆oxyHb levels in the frontal region of the brain were observed during the performance of Karate Forms A, B, and C, as well as a radio exercise. Increases during Forms A and B were significantly greater than those during Form C and radio exercise. Rated perceived exertion (RPE) increased from Karate Forms A to C, with radio exercise exhibiting the lowest RPE. Although previous studies have suggested that cerebral ∆oxyHb tends to increase with rated perceived exertion, the relatively smaller ∆oxyHb change observed during Form C might be interpreted as reflecting greater cognitive effort and motor control demands in beginners. The modest ∆oxyHb response during the radio exercise might be related to higher motor familiarity and reduced cognitive requirements. Overall, these observations may imply that Karate practice is capable of engaging frontal brain regions in beginners, and that the degree of activation might be influenced by cognitive effort, motor control load, and familiarity with the movements.
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Article Agriculture Food Sciences Information Sciences Psychology Psychology and Education
- Yoshinori Miyamura
- Ai Ishii
- Atsushi Oshio
Little is known about why smelly foods have been maintained for long periods of time despite their unpleasant smell. Previous research suggests that regional background and family environment during upbringing influence food selection. Based on those findings, we hypothesized that living in a region where traditional smelly foods are produced and consumed during one's childhood would enhance the recall of such foods in adulthood. Additionally, we proposed that this childhood experience would positively influence the effect of marriage on an individual’s recall of smelly foods. We selected *kusaya* as the chosen smelly food and examined how, as the main effect, living in the Kanto region of Japan until the age of 20 impacts an individual’s *kusaya* recall. Furthermore, we explored the moderating effect of this upbringing on *kusaya* recall and marital status by sequentially inputting variables into a logistic regression model. Both effects were confirmed. This study contributes to the understanding of how characteristic smelly foods can be preserved by clarifying the factors that enhance their recall, using *kusaya* as an example.
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Article Education Psychology and Education
- Takafumi Tomura
- Yohei Yamashita
- Mijung Choi
The purpose of this study was to explore Japanese undergraduate students’ transformative learning experiences during an eHealth literacy workshop. Grounded in transformative learning theory, the study employed a descriptive qualitative approach using an explanatory case study design. Six undergraduate students who participated in the workshop completed a demographic questionnaire and a semi-structured interview. Data were analyzed using the constant comparative method, resulting in three major themes: (Theme I) learning about searching strategies to identify problematic assumptions, (Theme II) task-oriented learning to develop evaluation skills, and (Theme III) necessity of learning eHealth literacy for students who live alone. The findings emphasize the importance of prioritizing eHealth literacy in Japanese universities to prevent students from engaging in risky health information practices. Therefore, we hope the findings will contribute to the development of both formal and informal eHealth literacy education in Japanese universities, enhancing students’ capacity to become effective and responsible seekers of online health information.
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Article Architecture Biology Engineering in General General Medicine Life Sciences and Basic Medicine Social Medicine
- Hirotsugu Morinaga
- Sabrina Crepaldi
- Jiabin Wang
- Naoki Otsuka
- Tatsuhiko Watanabe
- Yohei Takai
Peripheral oxygen saturation (SpO₂) measured by small wearable devices has garnered significant attention as a tool for detecting vital signs in acute and chronic diseases. However, the accuracy of such devices, particularly smart rings measuring SpO₂ at the finger base, remains underexplored. This study aimed to validate the accuracy of SpO₂ measurements obtained from a smart ring by comparing them with a clinical pulse oximeter in a controlled hypoxic environment. A total of 10 active males and females lay in the supine position at rest in a hypoxic environment, where oxygen saturation was maintained between 80% and 100% (normoxic levels). The participants wore a smart ring with photoplethysmography at the base of the second and third fingers of the dominant hand and a clinical pulse oximeter on their fingertips. To validate the accuracy of SpO₂ measured by a smart ring, leave-one-out cross-validation was performed, comparing root-mean-square error (RMSE) for 6793 data samples. The mean SpO₂ was 88.3 ± 7.2% for the smart ring and 88.3 ± 8.0% for the clinical-grade pulse oximeter, with a RMSE of 3.55%. These findings suggest that the smart ring provides reasonably accurate SpO₂ readings at rest, supporting its potential utility for health monitoring.
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Article Agriculture Food Sciences
A Study on the Effectiveness of Glycerophosphocholine (α-GPC) as an e-Sports Supplement
- Yuki Kamioka
- Yoshiko Saito
- Kiyohisa Natsume
- Hirohisa Isogai
This study examined the effects of oral intake of Glycerophosphocholine (α-GPC) on stress response and cognitive function in e-sports. α-GPC is a precursor of acetylcholine and is sometimes used to treat Alzheimer's disease and other dementias, but its potential effects in e-sports have not been investigated. In this study, 21 participants from university e-sports clubs and other groups were given α-GPC for 2 weeks. We measured their stress responses induced by e-sports and their performance in cognitive tasks. The results showed that the placebo increased the rate of increase in salivary amylase after e-sports, but α-GPC significantly decreased this increase. It also suppressed the increase in heart rate after e-sports. Furthermore, 1g of α-GPC significantly increased the rate of correct responses in a 3-back task, a cognitive task involving working memory, after ingestion. These results suggest that 2-week intake of α-GPC may enhance cognitive function and contribute to stress reduction and suppression of autonomic nervous system disturbances caused by e-sports. Further study is needed to determine the minimum effective intake period of the supplement.
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Technical Article Engineering in General Information Sciences Others
- Edmund Soji Otabe
- Daigo Inatomi
- Satoru Nakamura
Division of Business Improvement and Digital Transformation of Iizuka City Hall in Fukuoka Prefecture and students from Faculty of Computer Science and Systems Engineering at Kyushu Institute of Technology collaborated to attempt to use IT to improve various aspects of Iizuka City Hall's operations. First, Division of the Business Improvement and Digital Transformation solicited themes from divisions in Iizuka City Hall, selected around 10 from these and assigned university students to the themes to be solved. The information science students had a range of skill levels. They solved the problems in a variety of ways, including using automated processing, using cloud services, and developing software for tablet devices. While some of these methods have actually been used, there are also cases where they are not. This is thought to be because the system was created without sufficient consideration of how it would be used in the real case.
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- Ryuichi Imai
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Special Issue Information Sciences
- Haruka Inoue
- Yuma Nakasuji
In recent years, the number of fatalities in traffic accidents involving motorcyclists has remained almost unchanged, with single-vehicle accidents accounting for 37.2% of all accidents by accident type in the past five years. In the development of overturn prevention devices for motorcycles, problems remain in post-mounting of the device as well as its downsizing. On the other hand, an existing study using deep learning has proposed a method for detecting dangerous objects on the road surface leading motorcycles to overturn, though this method still needs verification under different conditions. In this study, we apply a method for detecting dangerous objects on the road surface from video images using YOLO to two types of 360-degree cameras and verify that this method is versatile under different conditions.
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Special Issue Agriculture Electrical and Electronic Engineering Food Sciences Information Sciences
- Ryo Tochimoto
- Katsunori Oyama
- Kazuki Nakamura
This paper presents a custom-built IoT camera system designed for recognizing wild animal approaches, where data transmission and power consumption are critical concerns in resource-constrained outdoor settings. The proposed method involves the spectral analysis on both infrared and environmental sound data before uploading images and videos to the remote server. Experiments, including battery endurance tests and wildlife monitoring, were conducted to validate the system. These results showed that the system minimized false positives caused by environmental factors such as wind or vegetation movement. Importantly, adding frequency features from audio waveforms that capture sounds including wind noise and footsteps led to an improvement in detection accuracy, which increased the AUC from 0.894 to 0.990 in Random Forest (RF) and from 0.900 with infrared sensor data alone to 0.987 in Logistic Regression (LR). These findings contribute to applications in wildlife conservation, agricultural protection, and ecosystem monitoring.
