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Yao Yin

As seen in: Nature, Wiley Online Library, PLOS ONE, MDPI, Taylor & Francis Online, Royal Society of Chemistry, Cell Reports, Cell Stem Cell, Dove Medical Press, The Harvard Crimson and
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Articles

How sports application functions promote college students’ exercise behavior: a mixed-methods study - Humanities and Social Sciences Communications

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By Cheng Qiu, Chong Zhang, Yao Yin
| Nature Verified
Abstract This study explores how sports and fitness application functions influence college students’ physical exercise behavior, focusing on three core dimensions: system quality, information quality, and service quality. We adopted a hybrid method of hierarchical regression analysis and fuzzy-set qualitative comparative analysis (fsQCA).
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Human PSC-derived organoids model sympathetic ganglion development and its functional crosstalk with the heart

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By Yantong Liu, Xiaoxiang Lu, Xuran Zhuang, Jianfeng Wei, Linlin Jiang, Wei Zhou, Wei Kong Pang, Yao Yin, Ziling Chen, Yajing Cao, Qinzhi Zhang, Sisi Chen, Xinrui Zhang, Yangfei Xiang, Jinkui Zhu, Siyuan Chu
| Cell Stem Cell Verified
Keywords hPSCs organoids assembloids sympathetic ganglion heart Introduction Three-dimensional (3D) organoids constructed in vitro offer a convenient strategy for investigating the human nervous system. For the central nervous system (CNS), for instance, brain organoids have been established to model the human brain in general,1 distinct brain regions,2,3,4 brain-region interactions,5,6,7 inter-lineage crosstalk,8,9,10,11 etc.
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Ecological Network Analysis: Utilizing Machine Learning to Unravel the Effects of Multilevel Pathways of Moderate⁃to⁃Vigorous Physical Activity Facilitators Among School Children

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By Yufei Qi, Fang Li, Yao Yin, Qian Lin
| Taylor & Francis Online
ABSTRACT The objective of the present study was to ascertain whether the association between moderate-to-vigorous intensity physical activity (MVPA) levels and individual, interpersonal, organizational, and environmental factors among school children is influenced by their attitudes toward emerging sports participants (ESP). To this end, machine learning (ML) was employed to analyze the data. This cross-sectional study, involved 655 child-parent pairs in Changsha City to assess children’s MVPA.
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