Data sources Electronic databases: AMED, CINAHL, Cochrane Central Register of Controlled Trials, Embase, MEDLINE, Physiotherapy Evidence Database, PsycINFO, Scopus and SPORTDiscus. Eligibility ...
2 Drug Policy Research Group, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA 3 Stanford Prevention Research Center, Stanford ...
It’s easy to look at exercise as just a way to burn calories, but there’s more to movement than energy expenditure. A fitness routine teaches your body how to work better, making you stronger the ...
1 Department of Physical Education, China University of Geosciences, Beijing, China 2 School of Physical Education, University of Science and Technology Beijing, Beijing, China Background: Acute ...
“This monograph warrants sinking without a trace – except as an example of how not to do comparative law,” he states. Several academics have now written to the journal demanding a retraction of the ...
Abstract: Exercise recognition is an emerging area in machine learning aimed at improving fitness monitoring and activity classification. This study compares three machine learning models: LSTM, RF, ...
Introduction Chronic non-specific low back pain is a major public health problem. Evidence supports the effectiveness of exercise as an intervention. Due to a paucity of direct comparisons of ...
Objectives To identify, appraise and synthesise qualitative studies on the experience of living with rheumatoid arthritis (RA)-related fatigue. Methods We conducted a qualitative metasynthesis ...
Jan. 13, 2026 Scientists tracking Earth’s water from space discovered that El Niño and La Niña are synchronizing floods and droughts across continents. When these climate cycles intensify, far-apart ...
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