Enhancing basketball performance through dance culture application modeling in sports science and enterprise contexts

• Xiaolei LIU ^[1]
  1. [1] Music and Dance College of Xinyang Normal University,Xinyang,464000,Henan
• Localización: Revista de psicología del deporte, ISSN-e 1988-5636, ISSN 1132-239X, Vol. 32, Nº 4, 2023, págs. 51-59
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • This paper explores the innovative integration of dance culture application modeling within the context of basketball, with a dual emphasis on sports science and enterprise applications. The convergence of dance and basketball offers a unique opportunity to enhance player performance, promote physical conditioning, and facilitate dynamic teamwork. In sports science, the infusion of dance-inspired exercises and routines into basketball training regimens has proven instrumental in enhancing athletes' agility, coordination, and balance. These fundamental attributes are essential for basketball players to excel in dribbling, shooting, and defensive maneuvers. Furthermore, dance culture application modeling contributes to optimal physical conditioning, bolstering cardiovascular endurance and muscular strength, and basketball players maintain peak performance levels throughout the game. Beyond the court, the marriage of dance and basketball presents exciting prospects for enterprises within the sports industry. Team cohesion and motivation are vital for success, and dance culture modeling fosters teamwork, synchronization, and camaraderie among players. Such attributes translate into better on-court performance and contribute to a more marketable and engaging sports product. This approach can be a potent tool for branding, fan engagement, and marketing initiatives within the basketball ecosystem. Additionally, dance culture application modeling can play a pivotal role in injury prevention and rehabilitation, safeguarding players' physical well-being and prolonging their careers. It also offers a refreshing avenue for player wellness during off-seasons and recovery periods. This abstract showcases the promising intersection of dance culture application modeling with basketball, transcending conventional training methodologies. Through its amalgamation of sports science and enterprise applications, it not only elevates player performance but also enhances the appeal and viability of basketball as a dynamic and marketable sport.

• Referencias bibliográficas
  • Adharn, A. A., Othman, A.M., Karim, S., George, A., Natalie, S., Rabih, A. C., & Efthymios, D. A. (2022). Acute Deep Vein Thrombosis Involving...
  • De Kinderen, S., & Kaczmarek-He6, M. (2020). On model-based analysis of organizational structures: an assessment of current modeling approaches...
  • FRICKE, R. (2019). Cynoglossus westraliensis, a new species of tonguesole from Western Australia (Teleostei: Cynoglossidae). FishTaxa, 4(2),...
  • Gomes, P., & da Cunha Frota, M. G. (2020). Knowledge organization from a social perspective: Thesauri and the commitment to cultural diversity....
  • Haseeb, J., Ahmad, N., Malik, S. U., & Anjum, A. (2020). Application of formal methods to modelling and analysis aspects ofbusiness process...
  • He, L., Wu, C., Yang, X., & Liu, J. (2019). Corporate social responsibility, green credit, and corporate performance: an empirical analysis...
  • Hebing, L., Neymann, T., & Engell, S. (2020). Application of dynarnic metabolic flux analysis for process modeling: Robust flux estimation...
  • Jarvis, D.N., Sigward, S.M., Lerch, K., & Kulig, K. (2021). What goes up must come clown, part II: consequences of jump strategy modification...
  • Ji, P., Yan, X., & Yu, G. (2020). The impact of information technology investment on enterprise financia! performance in China. Chinese...
  • Lee, J. Y., Taras, V, Jiménez, A., Choi, B., & Pattnaik, C. (2020). Ambidextrous knowledge sharing within R&D tearns and multinational...
  • Lin, S., Ma, Y., & Huang, Z. (2020). Advanced stratification analyses in molecular association meta-analysis: methodology and application....
  • Mallika, S. S. (2023). Mutation testing and its analysis On web applications. http://hdl.handle.net/10603/452914
  • Na, G. S., Kim, H. W., & Chang, H. (2020). Costless performance improvement in machine learning for graph-based molecular analysis. Journal...
  • Sharma, G., Omkar, S., Kwnar, H. S., & Narendra, S. (2020). Design, modeling, analysis and development of deployable tubular metallic...
  • Sinnen, M., Li, K. H., & Teh, K. C. (2019). Modelling and analysis for two‐ tier HCNs with co‐ tier and cross‐ tier separation dependencies....
  • Stuart, J., & Ward, C. (2019). Exploring everyday experiences of cultural diversity: The construction, validation, and application of...
  • Van de Wetering, R., Kurnia, S., & Kotusev, S. (2020). The effect of enterprise architecture deployment practices on organizational benefits:...
  • Wan, W., Liu, L., & Wang, X. (2020). How user-driven innovation and employee intrapreneurship promote platform enterprise performance....
  • Wang, B., & Li, J.-Y. (2019). Model for evaluating the enterprise financia! performance with interval-valued intuitionistic uncertain...
  • Xu, H., Mei, Q., Shahzad, F., Liu, S., Long, X., & Zhang, J. (2020). Untangling the impact of green finance on the enterprise green performance:...
  • Zhou, H., Lang, M., Hu, P., Su, Z., & Chen, J. (2019). The modeling, analysis, and application of the in-process machining data for CNC...
  • Zhou, Z., Liu, Y., Yu, H., & Ren, L. (2020). The influence of machine learning-based knowledge management model on enterprise organizational...