Search Results - Applied Sciences
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Global research trends in sports nutrition and football over the last 20 years (2004-2024)
Michel de Oliveira, D., Assis Carvalho Silva, A. K., Macedo, A. G., Bocchi Fernandes, M., Vignoto Fernandes, E.Published in Sports (2025)“…Background: We aimed to map the scientific production on sports nutrition applied to soccer. Methods: A scientometric analysis was performed using articles published between 2004 and 2024, retrieved from Web of Science, PubMed, and Scopus. …”
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Advanced feature engineering in acute:chronic workload ratio (ACWR) calculation for injury forecasting in elite soccer
Matas-Bustos, J. B., Mora-García, A. M., de Hoyo Lora, M., Nieto-Alarcón, A., Gonzalez-Fernández, F. T.Published in PLOS ONE (2025)“…We introduce calculus-based techniques—applying integral and differential operations—to derive two representations from the FWF matrix: a cumulative workload matrix (\sum^{T} FWF) generalizing Acute Workload (AW), and a temporal variation matrix (\Delta^{T} FWF) generalizing Chronic Workload (CW) and formulating the ACWR. …”
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Shaping training load, technical-tactical behaviour, and well-being in football: a systematic review
Afonso, P., Forte, P., Branquinho, L., Ferraz, R., Garrido, N. D., Teixeira, J. E.Published in Sports (2025)“…This systematic review screened 341 records from PubMed, Scopus, and Web of Science, with 46 studies meeting the inclusion criteria (n = 1763 players; age range: 13.2-28.7 years). …”
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The effect of different onset thresholds on isometric hamstring force-time variables using force plates
Ripley, N., Fahey, J., Comfort, P.Published in Journal of Applied Sports Sciences (2025)“…Journal of Applied Sports Sciences…”
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Playing style identification in team sports: a systematic review from statistical dimensionality reduction to unsupervised machine learning
Gu, L., Wang, W., Plakias, S., Zhang, S.Published in International Journal of Sports Science & Coaching (2025)“…This systematic review synthesizes evidence from 25 peer-reviewed studies, identified through a PRISMA-based search of Web of Science, PubMed, Scopus, and SPORTDiscus, to evaluate current applications of these techniques in classifying team playing styles. …”
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