Yiping Su
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Yiping Su has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Zhanguo Su
Faculty of Physical Education, Huainan Normal University, Huainan, Anhui, China
3 shared publications Zhanguo Su
2 shared publicationsLiGuang Li
International college, Krirk University, Bangkok 10220, THAILAND
1 shared publication- Liguang Li
International College Krirk University 10220 Bangkok Thailand
1 shared publication - Shishun Ge
Faculty of Physical Education Huainan Normal University
1 shared publication
Latest Publications
- Open Access
- 27 August 2025
- Published by Springer Nature in Clinical and Experimental Medicine
- Vol. 25 (1) , 1-16
Impact of exercise on immune cell infiltration in muscle tissue: implications for muscle repair and chronic disease
Exercise has long been recognized for its systemic health benefits, including modulation of the immune system. Contemporary scientific inquiry has increasingly turned toward understanding the regulatory effects of exercise on immune cell dynamics within muscle tissue, highlighting their potential role in facilitating tissue repair and modulating chronic disease pathways. Following acute bouts of exercise, especially those involving eccentric or high-intensity contractions, muscle fibers experience micro-damage that triggers a well-orchestrated immune response. This phenomenon entails a coordinated, time-sensitive accumulation of immune effector cells—namely neutrophils, macrophages, and T lymphocytes—within compromised muscle tissue. Through the release of immunoregulatory and regenerative mediators like cytokines and growth factors, these cells actively participate in coordinating tissue repair by eliminating cellular debris and resolving inflammation. Macrophage polarization from a pro-inflammatory (M1) to an anti-inflammatory (M2) phenotype is particularly crucial in coordinating effective muscle repair and preventing fibrosis. However, dysregulation of this immune response, such as persistent inflammation or impaired immune cell transition, can hinder regeneration and contribute to the pathogenesis of chronic conditions like sarcopenia, insulin resistance, and muscular dystrophies. Moreover, in chronic disease states, immune cell infiltration into muscle may become maladaptive, exacerbating tissue damage and metabolic dysfunction. Regular moderate-intensity exercise appears to modulate this immune infiltration in a way that enhances repair mechanisms while reducing chronic inflammation, highlighting a potential therapeutic avenue for managing muscle-related pathologies. In-depth insight into the molecular and cellular crosstalk between physical activity and immune cell regulation in muscle tissue forms the basis for crafting specialized therapeutic strategies aimed at facilitating muscle regeneration and limiting the development of chronic pathological conditions. Through a detailed evaluation of exercise-elicited immune dynamics, this review underscores the dichotomous functions of immune cell infiltration in supporting muscle regeneration and in contributing to strategies for chronic disease prevention and management.
- 27 August 2025
- Published by Springer Nature in Clinical and Experimental Medicine
- Vol. 25 (1) , 1-16
Open AccessImpact of exercise on immune cell infiltration in muscle tissue: implications for muscle repair and chronic disease
Exercise has long been recognized for its systemic health benefits, including modulation of the immune system. Contemporary scientific inquiry has increasingly turned toward understanding the regulatory effects of exercise on immune cell dynamics within muscle tissue, highlighting their potential role in facilitating tissue repair and modulating chronic disease pathways. Following acute bouts of exercise, especially those involving eccentric or high-intensity contractions, muscle fibers experience micro-damage that triggers a well-orchestrated immune response. This phenomenon entails a coordinated, time-sensitive accumulation of immune effector cells—namely neutrophils, macrophages, and T lymphocytes—within compromised muscle tissue. Through the release of immunoregulatory and regenerative mediators like cytokines and growth factors, these cells actively participate in coordinating tissue repair by eliminating cellular debris and resolving inflammation. Macrophage polarization from a pro-inflammatory (M1) to an anti-inflammatory (M2) phenotype is particularly crucial in coordinating effective muscle repair and preventing fibrosis. However, dysregulation of this immune response, such as persistent inflammation or impaired immune cell transition, can hinder regeneration and contribute to the pathogenesis of chronic conditions like sarcopenia, insulin resistance, and muscular dystrophies. Moreover, in chronic disease states, immune cell infiltration into muscle may become maladaptive, exacerbating tissue damage and metabolic dysfunction. Regular moderate-intensity exercise appears to modulate this immune infiltration in a way that enhances repair mechanisms while reducing chronic inflammation, highlighting a potential therapeutic avenue for managing muscle-related pathologies. In-depth insight into the molecular and cellular crosstalk between physical activity and immune cell regulation in muscle tissue forms the basis for crafting specialized therapeutic strategies aimed at facilitating muscle regeneration and limiting the development of chronic pathological conditions. Through a detailed evaluation of exercise-elicited immune dynamics, this review underscores the dichotomous functions of immune cell infiltration in supporting muscle regeneration and in contributing to strategies for chronic disease prevention and management.
- Open Access
- 18 April 2025
- Published by Global Science Publishing Pte. Ltd. in Journal of Integrated Social Sciences and Humanities
- p. 1-13
Cracking the Code of Educational Involution: A Multi-Agent Collaborative Governance and Resource Symbiosis Approach to Sports-Education Integration
Educational involution, characterized by excessive competition and diminishing returns in education, has become a pressing issue in China, posing significant challenges to students’ holistic development and the sustainability of the education system. This study proposes the integration of sports and education as a potential solution, leveraging its ability to foster physical, cognitive, and social development while alleviating academic pressure. Drawing on the theories of multi-agent collaborative governance and resource symbiosis, this research investigates the mechanisms through which multiple stakeholders can effectively collaborate to achieve sports-education integration. Using a mixed-methods approach, including qualitative interviews, surveys, and system dynamics modeling, the study identifies key stakeholders, analyzes their interactions, and evaluates the impact of various policy interventions. The findings contribute to the theoretical understanding of educational involution and provide actionable insights for policymakers seeking to promote sports-education integration and mitigate the effects of educational involution.
- 18 April 2025
- Published by Global Science Publishing Pte. Ltd. in Journal of Integrated Social Sciences and Humanities
- p. 1-13
Open AccessCracking the Code of Educational Involution: A Multi-Agent Collaborative Governance and Resource Symbiosis Approach to Sports-Education Integration
Educational involution, characterized by excessive competition and diminishing returns in education, has become a pressing issue in China, posing significant challenges to students’ holistic development and the sustainability of the education system. This study proposes the integration of sports and education as a potential solution, leveraging its ability to foster physical, cognitive, and social development while alleviating academic pressure. Drawing on the theories of multi-agent collaborative governance and resource symbiosis, this research investigates the mechanisms through which multiple stakeholders can effectively collaborate to achieve sports-education integration. Using a mixed-methods approach, including qualitative interviews, surveys, and system dynamics modeling, the study identifies key stakeholders, analyzes their interactions, and evaluates the impact of various policy interventions. The findings contribute to the theoretical understanding of educational involution and provide actionable insights for policymakers seeking to promote sports-education integration and mitigate the effects of educational involution.
- Open Access
- 18 April 2025
- Published by Global Science Publishing Pte. Ltd. in Journal of Integrated Social Sciences and Humanities
- p. 1-13
AI-Empowered Learning Ecology Under China’s ‘Double Reduction’ Policy
China’s 2021 “Double Reduction” policy reduces student academic burdens and regulates tutoring, yet challenges remain in equitable education access and student well-being. This study proposes a digital education model—the Health Learning Chain (HLC)—using biological-behavioral big data to optimize learning through physiological, psychological, and behavioral insights. Employing mixed methods (interviews, surveys, and system dynamics modeling), it explores multi-agent collaboration and resource sharing in sports-education integration. Key findings highlight stakeholder cooperation and resource optimization as vital for success. Policy simulations show short-term gains from increased resources but emphasize long-term reliance on governance and policy support. Recommendations include boosting resources, enhancing collaboration, and establishing sustainable policy frameworks, offering actionable strategies for a balanced educational ecosystem under “Double Reduction”.
- 18 April 2025
- Published by Global Science Publishing Pte. Ltd. in Journal of Integrated Social Sciences and Humanities
- p. 1-13
Open AccessAI-Empowered Learning Ecology Under China’s ‘Double Reduction’ Policy
China’s 2021 “Double Reduction” policy reduces student academic burdens and regulates tutoring, yet challenges remain in equitable education access and student well-being. This study proposes a digital education model—the Health Learning Chain (HLC)—using biological-behavioral big data to optimize learning through physiological, psychological, and behavioral insights. Employing mixed methods (interviews, surveys, and system dynamics modeling), it explores multi-agent collaboration and resource sharing in sports-education integration. Key findings highlight stakeholder cooperation and resource optimization as vital for success. Policy simulations show short-term gains from increased resources but emphasize long-term reliance on governance and policy support. Recommendations include boosting resources, enhancing collaboration, and establishing sustainable policy frameworks, offering actionable strategies for a balanced educational ecosystem under “Double Reduction”.
- Open Access
- 18 February 2024
- Published by Association for Researcher of Skills and Vocational Training
- Vol. 3 (3) , 29-38
Transforming College Physical Education: Exploring the Integration of Artificial Intelligence Technology
This article examines the anticipated advantages, difficulties, and implementation tactics of integrating Artificial Intelligence (AI) technology in college physical education. Data were gathered from twenty participants, including administrators, technology specialists, and physical education instructors, using a mixed-methods approach that included semi-structured interviews and surveys. According to qualitative research, 75% of participants voiced worries about technological competence and ethical issues, whereas 85% of participants highlighted benefits of AI integration, such as individualized learning experiences and increased teaching efficacy. Sixty-five percent of participants recommended collaborative collaborations with technology specialists and professional development for educators as strategies for successful adoption. These conclusions were corroborated by quantitative survey answers from 85 students and 22 instructors, who expressed a favorable attitude toward AI integration (65%) and a high level of satisfaction (70%) with AI-enhanced learning opportunities. But it was clear that there were obstacles including lack of technological expertise and reluctance to adapt. This report highlights the revolutionary potential of AI technology in college physical education and offers guidance to educators and policymakers on how to successfully deploy it.
- 18 February 2024
- Published by Association for Researcher of Skills and Vocational Training
- Vol. 3 (3) , 29-38
Open AccessTransforming College Physical Education: Exploring the Integration of Artificial Intelligence Technology
This article examines the anticipated advantages, difficulties, and implementation tactics of integrating Artificial Intelligence (AI) technology in college physical education. Data were gathered from twenty participants, including administrators, technology specialists, and physical education instructors, using a mixed-methods approach that included semi-structured interviews and surveys. According to qualitative research, 75% of participants voiced worries about technological competence and ethical issues, whereas 85% of participants highlighted benefits of AI integration, such as individualized learning experiences and increased teaching efficacy. Sixty-five percent of participants recommended collaborative collaborations with technology specialists and professional development for educators as strategies for successful adoption. These conclusions were corroborated by quantitative survey answers from 85 students and 22 instructors, who expressed a favorable attitude toward AI integration (65%) and a high level of satisfaction (70%) with AI-enhanced learning opportunities. But it was clear that there were obstacles including lack of technological expertise and reluctance to adapt. This report highlights the revolutionary potential of AI technology in college physical education and offers guidance to educators and policymakers on how to successfully deploy it.
- Open Access
- 1 January 2024
- Published by Green Publication
- Vol. 30 (5) , 7134-7140
Review Study Of Integrating Ai Technology Into Sports Training System
This article mainly reviews the application of artificial intelligence technology in the field of physical education and its future development trend. The article analyses how AI technology can enhance the quality and efficiency of physical education, providing students with better teaching experience and training effects through intelligent teaching aids, virtual reality technology and big data analysis. The article also highlights the important role of AI technology in promoting the personalized and interdisciplinary development of physical education, demonstrating the potential and prospects for its widespread application in the field of physical education. At the same time, the article also discusses the technical, ethical and privacy challenges facing the application of AI technologies in physical education, and puts forward suggestions for strengthening regulation and norms to ensure the healthy development of the technologies and maximize the benefits to society. In looking at the future development trend, the article points out that AI technology will continue to drive innovation and change in the field of physical education, injecting new vigor into the development of physical education globally.
- 1 January 2024
- Published by Green Publication
- Vol. 30 (5) , 7134-7140
Open AccessReview Study Of Integrating Ai Technology Into Sports Training System
This article mainly reviews the application of artificial intelligence technology in the field of physical education and its future development trend. The article analyses how AI technology can enhance the quality and efficiency of physical education, providing students with better teaching experience and training effects through intelligent teaching aids, virtual reality technology and big data analysis. The article also highlights the important role of AI technology in promoting the personalized and interdisciplinary development of physical education, demonstrating the potential and prospects for its widespread application in the field of physical education. At the same time, the article also discusses the technical, ethical and privacy challenges facing the application of AI technologies in physical education, and puts forward suggestions for strengthening regulation and norms to ensure the healthy development of the technologies and maximize the benefits to society. In looking at the future development trend, the article points out that AI technology will continue to drive innovation and change in the field of physical education, injecting new vigor into the development of physical education globally.