INTER-SPORT VARIABILITY OF MUSCLE VOLUME DISTRIBUTION IDENTIFIED BY SEGMENTAL BIOELECTRICAL IMPEDANCE ANALYSIS IN FOUR BALL SPORTS

Inter-sport variability of muscle volume distribution identified by segmental bioelectrical impedance analysis in four ball sports

Yosuke Yamada,1,2 Yoshihisa Masuo,3 Eitaro Nakamura,4 Shingo Oda5 1Laboratory of Sports and Health Science, Kyoto Prefectural University of Medicine, Kyoto, Japan; 2Japan Society for the Promotion of Science, Tokyo, Japan; 3Waseda University Research Institute for Elderly Health, Saitama, Japan; 4Department of Sport Science, Kyoto Iken College of M

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CHALLENGES OF QUALITY IN THE E-LEARNING PROCESS FOR HIGHER EDUCATION INSTITUTIONS DURING THE COVID-19 CRISIS IN BOSNIA AND HERZEGOVINA

The COVID-19 crisis had a huge impact on education and became the subject of many scientific studies.The purpose of the paper is to investigate the opinions of professors and students on the quality of teaching and satisfaction with e-learning during the COVID-19 crisis.The aim of the research is to answer the question to what extent professors and

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The Phylogeny, Metabolic Potentials, and Environmental Adaptation of an Anaerobe, Abyssisolibacter sp. M8S5, Isolated from Cold Seep Sediments of the South China Sea

Bacillota are widely distributed in various environments, owing to their versatile metabolic capabilities and remarkable adaptation strategies.Recent studies reported that Bacillota species were highly enriched in cold seep sediments, but their metabolic capabilities, ecological functions, and adaption mechanisms in the cold seep habitats remained

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Airborne LiDAR Remote Sensing for Individual Tree Forest Inventory Using Trunk Detection-Aided Mean Shift Clustering Techniques

Airborne LiDAR (Light Detection And Ranging) remote sensing for individual tree-level forest inventory necessitates proper extraction of individual trees and accurate measurement of tree structural parameters.Due to the inadequate tree finding capability offered by LiDAR technology and the complex patterns of forest canopies, significant omission a

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