Development and Evaluation of an AI-based Exergame Training System for Ice-Hockey Players: a Randomized Controlled Trial by Nicole Sieber, Simon Walser, Thomas Weber, Raphael Gubler, Hannes Badertscher, Patrick Eggenberger

“…To evaluate our novel exergame, 36 ice-hockey players from three male elite level teams (National League, U20, U17) and one female team (Swiss Women’s Hockey League B) of the SC Rapperswil-Jona Lakers participated. …”
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Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

“…The Meta-analysis incorporates network evidence plots, league tables, and SUCRA (surface under the cumulative ranking curves) to evaluate the ranking and relative importance of different factors. …”
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Opinions of Football Referees on the VAR System and VAR Training by Ozer Yıldız, Muhammet Munir Dadı

“…In their thoughts that more definite decisions were taken together with the decision diversity and the contribution of the decisions to the game categories; final and clear decisions, variability in interpretations and decisions, decrease in the number of errors, increase in the rate of finding the truth, correction of the decisions affecting the result, objectivity and maximum benefit, the referees expressed their opinions on how the newly implemented VAR System in the world and in our country will contribute to the development of the game in the future. Under the categories of positive contribution and fair play; In their thoughts on the VAR System, which has been in practice in various leagues of the world and in our country for a short time, and the opinions of the referees on the training given to the referees; under the categories of gradual education, being advantageous, being useful and not being sufficient, respectively; increase in the levels of success and education of referees, expert educators and high level opportunity recognition, critical position analysis, upbringing equipped referees, gaining a different perspective and position uncertainty to be examined.…”
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A Hybrid Machine Learning Framework for Soccer Match Outcome Prediction: Incorporating Bivariate Poisson Distribution by Chen Zhong An

“…The author utilizes a comprehensive dataset from top European leagues (2014-2022) and employ models including Bivariate Poisson Distribution, Naive Bayes, Neural Networks, Support Vector Machines, Random Forests, and Gradient Boosting. …”
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