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Yinan Liu

As seen in: Color Research & Application, Nature, Wiley Online Library, Journal of International Money and Finance, MDPI, SAGE Publishing, Royal Society of Chemistry, The Astronomical Journal, Law360, Dove Medical Press and
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Articles

Coupling Stress Delocalization With Lithiation Homogenization: Omnidirectional Conformal Interface Integrating Silicon Oxycarbide–Graphite Anode

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By Pingshan Jia, Materials Engineering, Yinan Liu
| Wiley Online Library Verified
1 Introduction The growing demand for high-energy-density lithium-ion batteries (LIBs) in electric vehicles and grid-scale energy storage has stimulated extensive research on Si-based anodes, owing to their high theoretical capacity (∼3579 mAh g−1 for Li15Si4) and the potential to increase the energy density by ∼ 34% compared with a conventional graphite anode [1-5].
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Synergistic regulation of anthocyanin synthesis in soybean sprouts under blue light by GmMYB306 and GmMYB114

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By Yinan Liu, Wanqing Dong, Jiaqi Ju, Leyan Guo
| Nature Verified
Abstract Blue light exposure significantly increases anthocyanin content in the hypocotyls of soybean sprouts, thereby enhancing their nutritional and economic value. However, the mechanism by which blue light promotes anthocyanin synthesis in these hypocotyls remains to be elucidated. In this study, we identified a MYB family transcription factor, GmMYB306, that is highly upregulated in soybean sprout hypocotyls in response to blue light.
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Development of a multimodal large language model for early warning and diagnosis of chronic ocular GVHD

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By Shuwan Liu, Lili Cao, Haoran Wu, Rongmei Peng, Xiaofeng Zhang, Xinyu Zhuang, Zhan Shen, Jiao Ma, Rong Wu, Yinghan Zhao, Yinan Liu, Yi Wang, Bo Xu, Jing Hong, Bohao Hu, Yuzhao Sun
| Nature Verified
Abstract Chronic ocular graft-versus-host disease (coGVHD) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) may lead to irreversible ocular surface damage and even vision loss. Current management of coGVHD faces challenges, with frequent missed or misdiagnosed cases. This study aimed to leverage a multimodal large language model (MLLM) to develop an early warning and diagnostic system for coGVHD.
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