
Tiancheng Zhang
Articles
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Oct 17, 2024 |
nature.com | Tiancheng Zhang
AbstractExploring the impact of physical exercise on adolescent insomnia and the chained mediating role of psychological inflexibility and stress between them. In September 2023, a questionnaire survey was conducted among 416 adolescents in Xiangxi Prefecture, collecting data on physical activity, insomnia, psychological inflexibility, stress, and related variables. Statistical analysis was performed, involving 215 boys and 201 girls with an average age of 15.37 ± 0.54 years.
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Sep 3, 2024 |
mdpi.com | Jinghan Wang |Lijun Tang |Tiancheng Zhang |Chris Phillips
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Jun 27, 2024 |
mdpi.com | Fangling Leng |Fan Li |Yubin Bao |Tiancheng Zhang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Apr 29, 2024 |
nature.com | Tiancheng Zhang
AbstractThere is a certain relationship between alexithymia and depression, but further investigation is needed to explore their underlying mechanisms. The aims of this study was to explore the mediating role of internet addiction between alexithymia and depression and the moderating role of physical activity. A total of 594 valid responses were included in the analysis, with a mean age of 18.72 years (SD = 1.09). The sample comprised 250 males (42.09%) and 344 females (57.91%).
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Apr 9, 2024 |
mdpi.com | Fan Li |Tiancheng Zhang |Fangling Leng |Yubin Bao
1. IntroductionIn recent years, the pervasive influence of “big data”, propelled by the advancement of information technology, has permeated diverse fields, including but not limited to data mining [1,2,3], computer biology [4], environmental science [5], e-commerce [6], and social network analysis [7]. Within these domains, the analysis and extraction of concealed information from extensive datasets have become standard practices, often approached from innovative perspectives [8,9,10].
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