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Yinan Xu on Muck Rack

Yinan Xu

As seen in: Nature, Wiley Online Library, PLOS, Diagnostics, MDPI, Taylor & Francis Online, ACS Publications, Canadian Journal of Infectious Diseases & Medical Microbiology, Texas Medical Center
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Articles

Reducing or reinforcing gender bias? A study on the application of ChatGPT in translation from a feminist perspective

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By Yinan Xu, Yi Zhang
| Taylor & Francis Online
Advanced search Perspectives Studies in Translation Theory and Practice Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/0907676X.2026.2641197?needAccess=true ABSTRACT Given the increasing integration of artificial intelligence (AI) in translation practice, assessing its impact on gender bias through a feminist lens assumes critical urgency.
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Default mode network connectivity predicts individual differences in long-term forgetting: Evidence for storage degradation, not retrieval failure

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By Yinan Xu, Chantel Prat, Florian Sense, Cognitive Neuroscience
| PLOS
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Xu Y, Prat CS, Sense F, van Rijn H, Stocco A (2025) Default mode network connectivity predicts individual differences in long-term forgetting: Evidence for storage degradation, not retrieval failure. PLoS Comput Biol 21(9): e1013485.
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Preparation of Peanut‐Shaped PS Nanoparticles Through Emulsion Polymerization by Using Styrene‐Maleic Anhydride Copolymer as the Cosurfactant

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By Min Deng, Chuxiang Zhou, Gang Wu, Yinan Xu
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description app57730-sup-0001-Supinfo.docxWord 2007 document , 5.3 MB Data S1: Supporting Information. References 1, , , et al., “Irregularly Shaped Iron Nitride Nanoparticles as a Potential Candidate for Biomedical Applications: From Synthesis to Characterization,” ACS Omega 5, no. 20 (2020): 11756–11767, https://doi.org/10.1021/acsomega.0c01130.
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