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As seen in: Nature, BMJ Open, Frontiers, Frontiers in Immunology, Frontiers in Public Health, Taylor & Francis Online, BMC Cancer, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology, Dove Medical Press and

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Articles

Caspases and programmed cell death in sepsis: mechanisms, pathophysiology, and therapeutic targets

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By Xiuli Xie, Lisui Zhou, Yumeng Lin, Aijun Liu, Peng Guo, yu zhu, Yu Tang, Zhongyu Han, Yi Wang, Haoran Chen, Haibei He
| Frontiers in Immunology
Abstract Sepsis represents a critical medical condition characterized by organ impairment resulting from an uncontrolled systemic reaction to pathogenic infection, posing substantial difficulties in intensive care management. As a key pathological mechanism, programmed cell death (PCD) critically contributes to sepsis development, and caspases act as the central molecular hub governing multiple PCD modalities, including apoptosis, necroptosis, pyroptosis, and PANoptosis.
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Maintain Preference for Autonomous System or Human-Controlled System? The Influence of Trust Conflict and Algorithm Aversion

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By yu zhu, Ronggang Zhou
| Taylor & Francis Online
Abstract With the advancing intelligence of machines, human-agent collaboration across varying intelligence levels will become prevalent in future decision-making scenarios. This study focuses on trust conflicts in human-agent collaboration.
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Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration

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By Shuo Liu, Ligong Zhang, Ruiqing Xie, Zhiyuan Wu, Aojie Chen, Lixia Han, Zuoyuan Dong, Junling Liu, Xinrui Guo, yu zhu, Zhenghua Zhou, Fei Liu, Peng Huang, Xinran Wang, Zongwei Wang, Yimao Cai, Ming He, Linbo Shan, Linxiao Shen
| Nature Verified
Abstract Human brain seamlessly integrates multisensory stimuli to synthesize complementary information for enhanced perceptions, depending on neural principles of superadditivity, inverse effectiveness, and temporal congruency. Replicating multisensory integration in artificial intelligences has remained challenging due to the inefficiency of algorithmic fusions and the absence of hardware-native mechanisms.
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