The COVID-19 pandemic has caused changes in the school learning system. Face-to-face learning shifted to remote learning using multimedia approaches. Online learning created particular difficulties for Physical Education (PE) teachers. Previously, they had to be role models in the teaching of physical activity. A national virtual workshop was conducted to support those teachers as they shift to remote learning. The purpose of the workshop was to provide PE instruction through social media and develop online learning modules. The 3 days of activities consisted of 4 lectures and 6 workshops provided to 177 PE teachers from 32 provinces in Indonesia. Participants were informed about the COVID-19 pandemic, its impact on children, and healthy life during the pandemic. Online applications that were free of charge, easy to use, highly rated, and widely downloaded were also introduced to them. These multimedia applications could help teachers develop and deliver remote learning modules to their students. The workshop supported the teachers as they adapted to interactive distance learning. The workshop also successfully illustrates an innovative distance learning module delivered through multimedia.
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http://dx.doi.org/10.1152/advan.00249.2020 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
LEESU, Ecole des Ponts Paris Tech, UPEC, AgroParisTech, F-77455 Marne-la-Vallée, Paris, France.
Urban reservoirs are frequently exposed to impacts from high population density, polluting activities, and the absence of environmental control measures and monitoring. In this study, we investigated the use of satellite imagery to assess restoration measures and support decision-making in a hypereutrophic urban reservoir. Since 2016, Lake Pampulha (Brazil) has undergone restoration measures, including the application of Phoslock®, to mitigate its poor water quality conditions.
View Article and Find Full Text PDFFront Robot AI
January 2025
Department of Engineering Science, Osaka University, Osaka, Japan.
After the COVID-19 pandemic, the adoption of distance learning has been accelerated in educational institutions in multiple countries. In addition to using a videoconferencing system with camera images, avatars can also be used for remote classes. In particular, an android avatar with a sense of presence has the potential to provide higher quality education than a video-recorded lecture.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Center for Quality Health IT Improvement (CQHII), McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Background: Remote patient monitoring (RPM) for hypertension management has become increasingly popular, demonstrating benefits for both clinics and patients. However, patient engagement in self-measured blood pressure (SMBP) monitoring remains low despite healthcare providers' efforts. This study aimed to assess adherence and acceptance of RPM for SMBP among Texas Federally Qualified Health Center patients.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Pathology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Study Objectives: This study aimed to identify the risk factors associated with falls in hospitalized patients, develop a predictive risk model using machine learning algorithms, and evaluate the validity of the model's predictions.
Study Design: A cross-sectional design was employed using data from the DRYAD public database.
Research Methods: The study utilized data from the Fukushima Medical University Hospital Cohort Study, obtained from the DRYAD public database.
Sci Rep
January 2025
Prince Sultan Bin Abdulaziz International Prize for Water Chair, Prince Sultan Institute for Environmental, Water and Desert Research, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia.
Improving the accuracy of reference evapotranspiration (RET) estimation is essential for effective water resource management, irrigation planning, and climate change assessments in agricultural systems. The FAO-56 Penman-Monteith (PM-FAO56) model, a widely endorsed approach for RET estimation, often encounters limitations due to the lack of complete meteorological data. This study evaluates the performance of eight empirical models and four machine learning (ML) models, along with their hybrid counterparts, in estimating daily RET within the Gharb and Loukkos irrigated perimeters in Morocco.
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