1,720,957 research outputs found
Subjective recovery in professional soccer players: A machine learning and mediation approach
No full text: Coaches often ask players to judge their recovery status (subjective recovery). We aimed to explore potential determinants of subjective recovery in 101 male professional soccer players of 4 Italian Serie C teams and to further investigate whether the relationship between training load and subjective recovery is mediated by fatigue, sleep quality, muscle soreness, stress and mood. A complete season for each of the four teams was recorded for a total of 16,989 training sessions and matches. Every morning, players rated their perceived fatigue, sleep quality, muscle soreness, stress and mood, and judged their recovery using the Total Quality Recovery (TQR) questionnaire. Training load was obtained after each training session or match. A framework of data analytics of time series was employed to detect the factors associated with subjective recovery. Machine learning and mediation analyses suggest that TQR is primarily associated with ratings of fatigue and muscle soreness at the judgements time, and that these factors mediate most of the relationship between training load of the previous day and subjective recovery. These findings suggest that, to maximize subjective recovery, strategies minimizing fatigue and muscle soreness should be implemented. Reducing the training load of the previous day seems the most effective strategy
Prediction of subjective fatigue in professional soccer players: a data-driven method to optimize training approach to the match
No full textIn soccer, predicting players’ fatigue experienced immediately before a training session or match can help design training programs and optimize performance. This study aimed to identify the most important predictors of daily and match-day fatigue in six Italian professional soccer teams during a competitive season using a framework of big data analytics. Every morning, the players rated fatigue, sleep quality, muscle soreness, stress, and mood. After each training session or match, the session Rating of Perceived Exertion was obtained and multiplied by duration to calculate the training load (TL). A framework of four machine learning models (Decision Tree classifier, XGBoost classifier, Random Forest Classifier, and Logistic regression) was trained and tested on 30.211 examples (one full season of six teams) to assess their ability to predict the players’ match-day fatigue. The machine learning models accurately predicted the players’ subjective fatigue (models’ range accuracy 70–82%). Specifically, in the prediction of match-day fatigue, stress, and mood of the previous day were the most influential factors. Mediation analysis unveils the relationship between TL of the day before the match and the perception of match-day fatigue, also mediated by mood and muscle soreness. Sport scientists and coaches can apply this framework to simulate the effects of different training programs, thus maximizing players’ readiness and mitigating potential drops in performance associated with match-day fatigue in a real-world scenario
Translating physical training theoretical framework to soccer practice: a narrative review
No full textBackground
In contemporary soccer, effective athlete monitoring is essential for optimizing training and enhancing performance.
Aim
This narrative review applies Jeffries et al.’s conceptual framework of physical training to the context of soccer, aiming to assess its external validity and identify redundancies and gaps within current literature.
Methods
Highly cited and conceptually relevant studies were prioritized from PubMed, Web of Science, SPORTDiscus, and Google Scholar to populate the framework, which outlines a structured training process in which external training load (ETL), internal training load (ITL), and training effects—categorized as acute/chronic and positive/negative—interact within a system influenced by individual and contextual factors.
Results and Conclusions
Findings show an evident alignment between the framework’s components and soccer-specific research. Numerous studies validate the ETL–ITL distinction and highlight the relevance of contextual elements (e.g., match congestion, opposition level) and individual characteristics (e.g., playing position, psychophysiological status). Additionally, subjective wellness metrics and psychometrically sound monitoring tools play a role in evaluating adaptation, recovery, and fatigue, particularly in high-demand environments. It further supports the classification of training effects and sport performance outcomes into distinct yet interconnected constructs. This narrative review serves as a foundational reference for advancing knowledge in soccer training, offering insights into refining monitoring practices to optimize player performance
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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