Pub Date : 2023-11-28DOI: 10.3390/engproc2023055010
Shing-Yun Jung, Shih-Wen Su, Xiaojing Yu, Shyan-Ming Yuan, Chuen-Tsai Sun
{"title":"Willingness, Proficiency, or Supports? Challenges in Implementing Content and Language Integrated Learning for Taiwan K-12 Teachers","authors":"Shing-Yun Jung, Shih-Wen Su, Xiaojing Yu, Shyan-Ming Yuan, Chuen-Tsai Sun","doi":"10.3390/engproc2023055010","DOIUrl":"https://doi.org/10.3390/engproc2023055010","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"196 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139226409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-28DOI: 10.3390/engproc2023055016
Imre Jánoki, Ádám Nagy, P. Földesy, Á. Zarándy, M. Siket, Judit Varga, Miklós Szabó
: The objective evaluation of an infant’s activity and sleep pattern is critical in improving the comfort of the babies and ensuring the proper amount of quality sleep. The predefined behavioral states of an infant describe their consciousness and arousal level. The different states are characterized by different movements, body tone, eye movements and breath patterns. To recognize and adapt to these states is an essential part of development-friendly caring. It affects the neonate’s sleep, influencing their brain development, while improving the bonding between mother and baby, and feeding is more successful during the state of quiet awakened. It can be a more difficult task to determine the level of arousal in premature neonates. In preterm clinics, the general practice is continuous observation, requiring the attention of the hospital staff. To create an automated, more objective system, helping the hospital staff and the parents, we developed a multi-RNN (multi-recurrent neural network) network-based solution to solve this classification problem, which works on a time-series-like feature set, extracted from cameras’ video feeds. The set is composed of video actigraphy features, video-based respiration signal and additional descriptors. We separate infant caring from undisturbed presence based on our previous ensemble network solution. The network was trained and evaluated using our database of 402 h of footage, collected at the Neonatal Intensive Care Unit, Dept. of Neonatology of Pediatrics, Dept. of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary, with all-day recordings of 10 babies.
{"title":"Neonatal Activity Monitoring by Camera-Based Multi-LSTM Network","authors":"Imre Jánoki, Ádám Nagy, P. Földesy, Á. Zarándy, M. Siket, Judit Varga, Miklós Szabó","doi":"10.3390/engproc2023055016","DOIUrl":"https://doi.org/10.3390/engproc2023055016","url":null,"abstract":": The objective evaluation of an infant’s activity and sleep pattern is critical in improving the comfort of the babies and ensuring the proper amount of quality sleep. The predefined behavioral states of an infant describe their consciousness and arousal level. The different states are characterized by different movements, body tone, eye movements and breath patterns. To recognize and adapt to these states is an essential part of development-friendly caring. It affects the neonate’s sleep, influencing their brain development, while improving the bonding between mother and baby, and feeding is more successful during the state of quiet awakened. It can be a more difficult task to determine the level of arousal in premature neonates. In preterm clinics, the general practice is continuous observation, requiring the attention of the hospital staff. To create an automated, more objective system, helping the hospital staff and the parents, we developed a multi-RNN (multi-recurrent neural network) network-based solution to solve this classification problem, which works on a time-series-like feature set, extracted from cameras’ video feeds. The set is composed of video actigraphy features, video-based respiration signal and additional descriptors. We separate infant caring from undisturbed presence based on our previous ensemble network solution. The network was trained and evaluated using our database of 402 h of footage, collected at the Neonatal Intensive Care Unit, Dept. of Neonatology of Pediatrics, Dept. of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary, with all-day recordings of 10 babies.","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139218246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-28DOI: 10.3390/engproc2023055014
Hsiao-Fang Chen, Jin-Yuan Chern
{"title":"Effect of an Active Reach-Out Program on Hepatitis C Screening Test for Drug-Addicted Inmates in Southern Taiwan","authors":"Hsiao-Fang Chen, Jin-Yuan Chern","doi":"10.3390/engproc2023055014","DOIUrl":"https://doi.org/10.3390/engproc2023055014","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139216621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: The existing single image super-resolution (SISR) methods that consider integer scale factors (X2, X3, X4, and X8), have been developed well, but SISR methods with arbitrary scale factors (X1.3, X2.5, and X3.7) have gradually gained attention recently. Therefore, we proposed an efficient, lightweight model. In this study, there are two contributions as follows. (1) An efficient and lightweight network for SISR is combined with the up-scaled module, which determines its weights based on the size of the high-resolution (HR) image. (2) All scale factors are applied simultaneously using one model, which saves more storage and computational resources. Finally, we design various experiments to evaluate the proposed method based on multiple general datasets. The experimental results show that the proposed model is lightweight while the performance is relatively competitive.
{"title":"Lightweight Network for Single Image Super-Resolution with Arbitrary Scale Factor","authors":"Quang Truong Duy Dang, Kuan-Yu Huang, Pei-Yin Chen","doi":"10.3390/engproc2023055015","DOIUrl":"https://doi.org/10.3390/engproc2023055015","url":null,"abstract":": The existing single image super-resolution (SISR) methods that consider integer scale factors (X2, X3, X4, and X8), have been developed well, but SISR methods with arbitrary scale factors (X1.3, X2.5, and X3.7) have gradually gained attention recently. Therefore, we proposed an efficient, lightweight model. In this study, there are two contributions as follows. (1) An efficient and lightweight network for SISR is combined with the up-scaled module, which determines its weights based on the size of the high-resolution (HR) image. (2) All scale factors are applied simultaneously using one model, which saves more storage and computational resources. Finally, we design various experiments to evaluate the proposed method based on multiple general datasets. The experimental results show that the proposed model is lightweight while the performance is relatively competitive.","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"18 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139216376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Machine Learning of Artificial Intelligence to Analyze Business Opportunities and Applications of the Massively Multiplayer Online Role-Playing Game Case in Metaverse","authors":"Kuo-Hsien Lee, Wen-Hsien Tsai, Cheng-Tsu Huang, Jerry Tao, Hank Lee, Ching-Hui Chen, Li-Yun Lee, Hsiao-Ting Tseng","doi":"10.3390/engproc2023055012","DOIUrl":"https://doi.org/10.3390/engproc2023055012","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139227098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-27DOI: 10.3390/engproc2023055008
Si-Jing Tu, Chen Jin, Xiao-He Wang, Bi-Yan Wang
: The “fusion of sports and medicine (FSM)” is the key to promoting national fitness and health in deep fusion. However, there are disadvantages such as isolation of information networks and separation of health data in the progress of FSM. A smart health station (SHS) is a new health service mode of FSM to provide a place for community residents for health self-assessment and self-management. SHS forms an integrated health information management system based on the Internet of Things, mobile internet, and big data. It integrates community health services, community physical fitness surveillance, and other resources. In order to put forward health management and improve people’s ability to manage their health, Shanghai has promoted the construction of SHS. The construction of SHS in Shanghai provides strong support and guarantees disease prevention and treatment in the community. “Early prevention, early diagnosis, and early treatment” are also achieved to eliminate the disease. In this study, we introduce the background, service, character, and management of SHS construction in Shanghai, and the application of health service data in health education, chronic disease management, and intervention guidance.
{"title":"Shanghai Smart Health Station Research Application in Fusion of Sports and Medicine Community Health Service","authors":"Si-Jing Tu, Chen Jin, Xiao-He Wang, Bi-Yan Wang","doi":"10.3390/engproc2023055008","DOIUrl":"https://doi.org/10.3390/engproc2023055008","url":null,"abstract":": The “fusion of sports and medicine (FSM)” is the key to promoting national fitness and health in deep fusion. However, there are disadvantages such as isolation of information networks and separation of health data in the progress of FSM. A smart health station (SHS) is a new health service mode of FSM to provide a place for community residents for health self-assessment and self-management. SHS forms an integrated health information management system based on the Internet of Things, mobile internet, and big data. It integrates community health services, community physical fitness surveillance, and other resources. In order to put forward health management and improve people’s ability to manage their health, Shanghai has promoted the construction of SHS. The construction of SHS in Shanghai provides strong support and guarantees disease prevention and treatment in the community. “Early prevention, early diagnosis, and early treatment” are also achieved to eliminate the disease. In this study, we introduce the background, service, character, and management of SHS construction in Shanghai, and the application of health service data in health education, chronic disease management, and intervention guidance.","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139232130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-27DOI: 10.3390/engproc2023055007
Jack C. Yue, I-Wei Lu, Jung-San Chang, Chien-Nan Lin
{"title":"Analysis of Outpatient Prescription Trends of Non-Narcotic Analgesics and Proton Pump Inhibitors (PPIs) in Taiwan from 2010 to 2021: A Nationwide Population-Based Study","authors":"Jack C. Yue, I-Wei Lu, Jung-San Chang, Chien-Nan Lin","doi":"10.3390/engproc2023055007","DOIUrl":"https://doi.org/10.3390/engproc2023055007","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139230768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-27DOI: 10.3390/engproc2023055006
Hoang Nhut Huynh, Ngoc An Dang Nguyen, A. T. Tran, V. Nguyen, Trung Nghia Tran
{"title":"Classification of Breast Cancer Using Radiological Society of North America Data by EfficientNet","authors":"Hoang Nhut Huynh, Ngoc An Dang Nguyen, A. T. Tran, V. Nguyen, Trung Nghia Tran","doi":"10.3390/engproc2023055006","DOIUrl":"https://doi.org/10.3390/engproc2023055006","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139229085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.3390/engproc2023055005
T. Kwan
{"title":"Comparative Analysis of Digital Contact-Tracing Technologies for Informing Public Health Policies","authors":"T. Kwan","doi":"10.3390/engproc2023055005","DOIUrl":"https://doi.org/10.3390/engproc2023055005","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139246887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.3390/engproc2023055003
Hsiao-Ching Huang, I. Liu, Meng-Huan Lee, Jung-Shian Li
{"title":"Anomaly Detection on Network Traffic for the Healthcare Internet of Things","authors":"Hsiao-Ching Huang, I. Liu, Meng-Huan Lee, Jung-Shian Li","doi":"10.3390/engproc2023055003","DOIUrl":"https://doi.org/10.3390/engproc2023055003","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"142 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139247951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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