Basketball is a popular sport worldwide, and many researchers have utilized various machine learning models to predict the outcome of basketball games. However, prior research has primarily focused on traditional machine learning models. Furthermore, models that rely on vector inputs tend to ignore the intricate interactions between teams and the spatial structure of the league. Therefore, this study aimed to apply graph neural networks to basketball game outcome prediction, by transforming structured data into unstructured graphs, to represent the interactions between teams in the 2012–2018 NBA season dataset. Initially, the study used a homogeneous network and undirected graph to build a team representation graph. The constructed graph was fed into a graph convolutional network, which yielded an average success rate of 66.90% in predicting the outcome of games. To improve the prediction success rate, feature extraction based on the random forest algorithm was combined with the model. The fused model yielded the best results, and the prediction accuracy was improved to 71.54%. Additionally, the study compared the results of the developed model with previous studies and the baseline model. Our proposed method considers the spatial structure of teams and the interaction between teams, resulting in superior performance in basketball game outcome prediction. The results of this study provide valuable insights for basketball performance prediction research.

What is embarrassing for Chinese sports is that the supply of the sports cannot meet the needs of people with the rapid development in almost every field of sport in China. Furthermore, teenage sport has deteriorated year on year and is very short of backup talents in competitive sports. Faced with China’s devastated football, the appropriate attitude is neither seeking quick success and instant benefits nor ignoring it; the urgent thing for this moment is to establish a feasible and sustainable football system. An analysis of the history of Chinese football, the strategy of football development by the country’s leaders, and the policy of Youth Campus Football in 2009, coupled with sports humanism, suggests that the future lies in instilling a sharing sports concept, promoting the joint efforts of school, society, and family.

BackgroundTo evaluate the influence effect of physical and mental exercises on the mental health of the middle-aged and old people by using Meta analysis method. MethodsRetrieve databases such as CNKI, WanFang data, VIP Database for Chinese Technical Periodicals, Pubmed, Scopus, web of science, etc. to collect randomized controlled trials of the effect of physical and mental exercises on the mental health of the middle-aged and old people. ResultsThe effects of physical and mental exercises on the somatization and obsessive-compulsive symptoms of middle-aged and old women belongs to a medium effect, and their influence effect on symptoms such as interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation belongs to a small effect. The effects of physical and mental exercises on the middle-aged people is greater than that of the old people for symptoms such as obsessive-compulsive, interpersonal sensitivity, depression, and hostility, which belongs to a small-to-medium effect. For the symptoms such as somatization, anxiety, and paranoid ideation, the influence effect of physical and mental exercises on the old is greater than that of the middle-aged, which belongs to a small-to-medium effect. The effects of physical and mental exercises for 45-60 minutes each time, 3 times a week, lasting 12-20 weeks on the middle-aged and old for symptoms such as somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation is significant, which belongs to a small-to-medium effect. The effects of Tai Chi exercise on somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoia and other symptoms of middle-aged and elderly people were small to medium. ConclusionPhysical and mental exercises have a small-to-medium effect on the middle-aged and old people for the symptoms such as somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, and paranoid ideation, but they have no significant effect on psychosis.