Digital Coaching and Mental Skills Development in Sports: Harnessing the Power of Information Technology / Entrenamiento digital y desarrollo de habilidades mentales en el deporte: aprovechar el poder de la tecnología de la información

The essential purpose of this research study is to determine the digital coaching and mental skills development in sports. This research study also describes the harnessing power of information technology between them. This research depends upon primary research data analysis for measuring the research develop different research questions related to the variables. Digital coaching and mental skills development are independent variables; the sport and information technology are dependent variables. To determine the research study used, SPSS software results determine descriptive statistics, one-way ANOVA test analysis, the regression analysis, and control chart related to dependent and independent variables. The overall result found that digital coaching shows a positive also significant link in sport harnessing of information technology. Mental skills development also shows a direct link in sports related to information technology.(AU)

Information technology and its’ modernization, the Internet, and sport psychology / Las tecnologías de la información y su modernización, Internet y la psicología del deporte

This research aims to describe information technology and its' modernization, the Internet, and sports psychology. A research study based on primary data collected used open-ended and closed-ended questions related to the variable and defined Internet modernization and sports psychology. This research study determines by smart PLS software. It generates a different result, including indicator correlations, discriminant validity, model fitness analysis, composite reliability, and an intelligent PLS Algorithm model related to the variables. Information technology is the leading independent variable. The Internet and sports psychology are both dependent variables. The result found that information technology presents significant and positive relation to the modernization of the Internet. Information technology also shows the direct impact and significance of sport psychology It plays a vital role in the modernization internet also sports psychology performance.(AU)

The impact of human-computer interaction on innovations and sports psychology

This study's major objective is to examine the impact of human-computer interaction on innovation and sports psychology. This research study utilized questions linked to independent and dependent variables based on primary data analysis to assess the research. This research study on human-computer interaction conducted in China also discusses innovation and sports psychology. Human-computer interaction is the primary independent variable; it encompasses computer science, cognitive science, and human factor engineering, all regarded as independent variables. Innovation and sports psychology are viewed as dependent factors. This research is based on original data from assessing the outcome with intelligent PLS software and generating useful results. The correlation, R-square, F-square values, and weighted average analysis illustrate the intelligent PLS Algorithm model. The overall findings indicate that human-computer interaction has a favorable and significant effect on innovation and sports psychology. Computer science has direct effects on sports psychology as well. Cognitive science has a close relationship with innovation and sports psychology.(AU)

Evaluation Method of Human Resource Management Efficiency of Chain Retail Enterprises Based on Distributed Database.

The calculation of human resource management efficiency evaluation method is large, which affects the technical efficiency and scale efficiency of evaluation results. Based on distributed database, an evaluation method of human resource management efficiency of chain retail enterprises is proposed. Genetic algorithm is applied to the design of distributed database to realize the best data allocation scheme. The distributed database is used to store the human resource information of chain retail enterprises to ensure the data consistency and information availability. Select the input and output elements that can best reflect the human resource management status of chain retail enterprises in the distributed database, design the management efficiency evaluation index system, and construct the DEA evaluation model. After testing, the technical efficiency and scale efficiency of the design method in this paper are higher than the evaluation methods of human resource management efficiency of chain retail enterprises based on principal component analysis and fuzzy comprehensive evaluation, which is conducive to management decision-making.

Research on Music Style Classification Based on Deep Learning.

Music style is one of the important labels for music classification, and the current music style classification methods extract features such as rhythm and timbre of music and use classifiers to achieve classification. The classification accuracy is not only affected by the classifier but also limited by the effect of music feature extraction, which leads to poor classification accuracy and stability. In response to the abovementioned defects, a deep-learning-based music style classification method will be studied. The music signal is framed using filters and Hamming windows, and the MFCC coefficient features of music are extracted by discrete Fourier transform. A convolutional recurrent neural network structure combining CNN and RNN is designed and trained to determine the parameters to achieve music style classification. Analysis of the simulation experimental data shows that the classification accuracy of the studied classification method is at least 93.3%, and the classification time overhead is significantly reduced, the classification results are stable, and the results are reliable.

Application of Data Mining Technology in exploring the relationship between cultural sports psychology and intersecting identities / Aplicación de la tecnología de minería de datos en la exploración de la relación entre la psicología del deporte cultural y las identidades que se cruzan

Data mining has been demonstrated to be critical in various sectors, including corporate applications, criminal investigations, biology, and, more recently, counter-terrorism. Data mining can be used in any situation that requires the examination of a large volume of data. As a result, all data mining tools, including analysis, can be regarded components of the data mining process. The article examines the function of data mining technology in the interaction between Cultural Sports Psychology (CSP) and Intersecting Identities (ITI). As a Mediating Variable, the variable Application of Data Mining Technology is used. The data was gathered from 70 IT professionals. AMOS 26v was used to evaluate the collected data. However, the results suggested a strong link between the variables. As a result, data-mining technologies are critical in understanding the relationship between CSP and ITI.(AU)