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Zhiying Li on Muck Rack

Zhiying Li

As seen in: Amazon Web Services, Color Research & Application, Nature, Wiley Online Library, Frontiers, Frontiers in Immunology, MDPI, ACS Publications, Royal Society of Chemistry, Cell Press and
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Articles

CMTM6/PD-L1-targeted AAV promotes anti-tumor immune responses and chemotherapy responsiveness

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By Runqiu Chen, Xiaoyu Pang, Fanglin Li, Yiting Wang, Xinhang Zheng, Yaqi Zhao, Liying Chen, Fengyu Du, CHEN CHEN, Rong Zhang, Zhiying Li, Yiru Long, Likun Gong, Meiqing Feng, Shanna Wu, Fengru Qiu
| Frontiers in Immunology
Abstract Chemotherapy is one of the important clinical treatments for malignant tumors, but primary or acquired chemotherapy resistance significantly limits patient benefits. Programmed death ligand 1 (PD-L1) has been reported to be regulated by chemotherapy and to contribute to chemotherapy resistance. However, as a novel regulatory molecule of PD-L1, the relationship between CKLF-like MARVEL transmembrane domain-containing protein 6 (CMTM6) and chemotherapy resistance remains understudied.
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Exploring the underlying roles of perceived social inequality in the relationship between internet use and fertility expectations in China

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By Zhiying Li
| Nature Verified
Abstract China’s declining fertility rate has attracted growing public concern. Understanding the determinants of individuals’ fertility intentions is crucial for optimizing fertility-related policies and promoting long-term population equilibrium. Drawing on data from the 2018 and 2022 waves of the China Family Panel Studies (CFPS), this study systematically examines the impact of Internet use on fertility intentions among people of reproductive age.
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Ethical Concerns in GenAI-Assisted Collaborative Digital Multimodal Composing: A Case Study of Blended Learning

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By Jiatong Sun, Zhiying Li, Chun Haw Lai
| Wiley Online Library Verified
DATA AVAILABILITY STATEMENT The data that support the findings of this study are available from the corresponding author upon reasonable request. REFERENCES , , & (2024). ChatGPT promises and challenges in education: Computational and ethical perspectives. Education Sciences, 14(8), 814. , , , , & (2024). Fairness and bias in multimodal AI: A survey. arXiv preprint arXiv:2406.19097. , & (2025).
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