This study analyzed training loads of youth soccer players and examined the influence of match-related contextual variables in internal training load and fatigue. A secondary aim was to investigate the variability of these parameters throughout the season. Thirteen highly trained under-19 players (18.6 ± 0.5 years) were followed during one season. Training load (daily) and fatigue scores (weekly) were assessed using rate of perceived exertion and a short questionnaire, respectively. Higher weekly training loads were reported after a defeat or draw compared to a win (2,342 ± 987 and 2,395 ± 613 vs. 1,877 ± 392 AU; p ≤ 0.05; d = 0.30-0.45). Weekly training loads were higher after playing an away match than after a home match (2,493 ± 821 vs. 2,153 ± 577 AU; p ≤ 0.05; d = 0.23). Within training sessions, the coefficients of variation for internal training load ranged from 5 to 72%. Throughout the season, the coefficients of variation for weekly training loads and fatigue scores ranged from 29 to 49% and 18 to 44%, respectively. Weekly training load decreased as the season progressed (p < 0.001); no changes were detected for the fatigue score. In conclusion, the large variation in internal training load within a session and its sensitivity to initial and subsequent match conditions underline the need for a more individualized approach. These findings and the stability of the fatigue scores throughout the season may indicate that highly trained players modulate their pace during training.
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http://dx.doi.org/10.1519/JSC.0000000000001113 | DOI Listing |
Air conditioning systems are widely used to provide thermal comfort in hot and humid regions, but they also consume a large amount of energy. Therefore, accurate and reliable load demand forecasting is essential for energy management and optimization in air conditioning systems. Within the current paper, a novel model on the basis of machine learning has been presented for dynamic optimal load demand forecasting in air conditioning systems.
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January 2025
Department of Movement Science, Institute of Sports Science, University of Klagenfurt, Klagenfurt, Austria.
Over the last decades, resistance training (RT) has experienced a surge in popularity, and compelling evidence underpins its beneficial effects on health, well-being, and performance. However, sports and exercise research findings may translate poorly into practice. This study investigated the knowledge of Austrian gym-goers regarding common myths and truths in RT.
View Article and Find Full Text PDFPediatr Res
January 2025
Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Background: This study aimed to investigate associations between sociodemographic factors and dietary intake among a diverse population of early adolescents ages 10-13 years in the United States.
Methods: We examined data from the Adolescent Brain Cognitive Development (ABCD) Study in Year 2 (2018-2020, ages 10-13 years, N = 10,280). Multivariable linear regression models were conducted to estimate the adjusted associations between sociodemographic factors (age, sex, race and ethnicity, household income, parental education) and dietary intake of various food groups, measured by the Block Kids Food Screener.
Nat Commun
January 2025
College of Polymer Science and Engineering, West China School of Public Health, Med-X center of materials, Sichuan University, Chengdu, Sichuan, 610065, China.
Chronic kidney disease (CKD) ultimately causes renal fibrosis and end-stage renal disease, thus seriously threatens human health. However, current medications for CKD and fibrosis are inefficient, which is often due to poor targeting capability to renal tubule. In this study, we discover that biomimetic high-density lipoprotein (bHDL) lipid nanoparticles possess excellent targeting ability to injured tubular epithelial cells by kidney injury molecule-1(KIM-1) mediated internalization.
View Article and Find Full Text PDFClin Chim Acta
January 2025
School of Life Sciences, Jiangsu University, Zhenjiang, China. Electronic address:
Noninvasive detection of BK virus, for early detection of BK polyomavirus-associated nephropathy post-renal transplantation, is currently an active subject of investigation. In this study, we developed and validated a novel risk score diagnostic assay (PymiR Score) based on measurements of three urine miRNAs, including BKV-related miRNA (bkv-miR-B1-5p), polyomavirus-related miRNA (bkv-miR-B1-3p) and renal tubular injury-related miRNA (miR-21-5p), by quantitative polymerase chain reaction. The limit of detection of the three miRNAs was 2 × 10 copies/mL, while the intra- and inter-assay coefficients of variation were in the ranges of 2.
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