A study on the optimization of teaching paths of integration of core literacy in physical education and health courses in colleges and universities based on function integral algorithm

[1] Wu, J. Z. (2018). Construction of social psychological service system in shaanxi province under the background of healthy china strategy. Basic & clinical pharmacology & toxicology, (S7), 123. Search in Google Scholar

[2] Fang, H. S. (2020). Construction of smart sports platform in the background of healthy china. International Journal of Electrical Engineering Education, 002072092092966. Search in Google Scholar

[3] Dong, B., Zou, Z., Song, Y., Hu, P., & Patton, G. C. (2018). Adolescent health and healthy china 2030: a cross-sectional study. The Lancet, 392, S63. Search in Google Scholar

[4] Guo, L. (2020). Under the background of healthy china: regulating the analysis of hybrid machine learning in sports activities to control chronic diseases. Measurement, 164(5), 107847. Search in Google Scholar

[5] Liu, X. (2021). Research on the dilemma of the “triple independent” teaching reform of college physical education under the situation of “healthy china”. International Journal of Electrical Engineering Education, 002072092098370. Search in Google Scholar

[6] Shan, D. (2021). The construction of a professional model of physical education teachers in colleges and universities from the perspective of public health service. Revista Brasileira de Medicina do Esporte, 27(spe), 59-61. Search in Google Scholar

[7] Da-Wei, C., Chao, L., Shun, W., Xun-Ling, W., Wen-Fang, W., & Sundhararajan, M., et al. (2018). Research and application of multimedia digital platform in the teaching of college physical education course. Journal of Intelligent and Fuzzy Systems, 34(2), 893-901. Search in Google Scholar

[8] Liu, F., Gong, Q., & Zhou, J. (2021). Reform of the practice teaching system of entrepreneurship education based on 5g fog computing in colleges and universities. Scientific programming, (Pt.8), 2021. Search in Google Scholar

[9] Yu, Q., Liu, B., Zang, J., & Wang, S. (2021). The reform of supply of public health services leading the training of sports professionals in local colleges and universities in the background of healthy china. Revista Brasileira de Medicina do Esporte, 27(spe), 101-104. Search in Google Scholar

[10] Han, Q. (2022). Using neural network for the evaluation of physical education teaching in colleges and universities. Soft Computing, 26(20), 10699-10705. Search in Google Scholar

[11] Andrew, V., Pytiak, Matthew, J., & Kraeutler, et al. (2018). An epidemiological comparison of elbow injuries among united states high school baseball and softball players, 2005-2006 through 2014-2015. Sports health, 10(2), 119-124. Search in Google Scholar

[12] Logan, K., Lloyd, R. S., Schafer-Kalkhoff, T., Khoury, J. C., & Myer, G. D. (2020). Youth sports participation and health status in early adulthood: a 12-year follow-up. Preventive Medicine Reports, 19, 101107. Search in Google Scholar

[13] Sanfilippo, J. L., Blyholder, L. A., Mcguine, T. A., & Heidershceit, B. C. (2017). Influence of year in school on health-related quality of life among collegiate athletes: 2512 board #32 june 2 11. Medicine & Science in Sports & Exercise, 49(5S), 704-705. Search in Google Scholar

[14] Santos, C., Bustamante, A., Hedeker, D., Vasconcelos, O., & Maia, J. (2020). A multivariate multilevel analysis of youth motor competence. The peruvian health and optimist growth study. Scandinavian Journal of Medicine and Science in Sports, 30(12). Search in Google Scholar

[15] Sun, L., & Li, M. (2021). Sports and health management using big data based on voice feature processing and internet of things. Scientific programming, (Pt.6), 2021. Search in Google Scholar

[16] Zhi, H. (2019). A comparative study on the concept of olympic sports health and the health of chinese sports culture. Basic & clinical pharmacology & toxicology, (S3), 124. Search in Google Scholar

[17] Suykens, J. A. K., Brabanter, J. D., Lukas, L., & Vandewalle, J. (2002). Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing, 48(1–4), 85-105. Search in Google Scholar

[18] Evgeniou, T., Pontil, M., & Poggio, T. (2000). Regularization networks and support vector machines. Advances in Computational Mathematics, 13(1), 1-50. Search in Google Scholar