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Dan Yin

As seen in: Color Research & Application, Wiley Online Library, Frontiers, Frontiers in Public Health, MDPI, Dove Medical Press, Optica
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Articles

Development and preliminary psychometric evaluation of a modified Chinese instrument for self-rated mastery of diabetes exercise knowledge (DEKS-C)

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By Lei Mei, Hongying Pan, Dan Yin, Huilan Yao, Mingxia Zhu, Yufeng Zhou, Lan Lv, Jing Shao, Kaiyan Zhu
| Frontiers in Public Health Verified
Abstract Background: Exercise knowledge is seldom evaluated as a standalone construct in China, and no validated instrument exists for self-perceived mastery of exercise knowledge among patients with type 2 diabetes mellitus (T2DM). Adapting the Turkish Diabetes Exercise Knowledge Scale (DEKS) required item consolidation, supplementary items and a revised response format, yielding a modified, DEKS-derived instrument rather than a direct translation.
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Correction: Explainable deep learning for healthcare workforce attrition: a methodological study on the Watson healthcare synthetic benchmark

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By Dan Yin, Xinyu Lu, Tingyi Mei
| Frontiers in Public Health Verified
A Correction on Explainable deep learning for healthcare workforce attrition: a methodological study on the Watson healthcare synthetic benchmark by Yin, D., Lu, X., and Mei, T. (2026). Front. Public Health 14:1861450. doi: 10.3389/fpubh.2026.1861450 In the published article, the 5-fold cross-validation results for the proposed deep neural network were produced under a protocol in which the early-stopping split was drawn from data that also entered the evaluation folds.
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Pleiotropic Multi-Drug Co-Assembled Nanocomposites Offer Protection Against Doxorubicin-Induced Cardiotoxicity [Corrigendum]

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By Dan Yin
| Dove Medical Press
Back to Journals » International Journal of Nanomedicine » Volume 21 Authors Yin D, Li C, Li J, Zeng J, Jia M, Yuan W, Liu L, Tang Y, Wang Y, Tian J Received 23 June 2026 Accepted for publication 23 June 2026 Published 3 July 2026 Volume 2026:21 634988 DOI https://doi.org/10.2147/IJN.S634988 Yin D, Li C, Li J, et al. Int J Nanomedicine. 2025;20:9311–9326.
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