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T cell senescence may contribute to immunothrombosis via Th17 immune transition in COVID-19
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作者 Wenxing Li Rui Qian +22 位作者 Zhaoming Zhou Lei Wen Quan Yin Xiang Zhou Xiaowei Li Jie Cheng Xinlu Zhang Xin Zeng Zhuoya Wang Yingying huang Shengqiang Wang Yixing Liao Youjiang Li Shenbing Shan Meijuan Zhou Wu Wei Amir Abdollahi Avery August Nicholas Magazine Gianluca Veggiani weishan huang Daogang Guan Cheng Zhou 《Science Bulletin》 SCIE EI CAS 2024年第22期3501-3506,共6页
Lymphocyte dysregulation and coagulopathy are closely correlated with the severity and fatal risks of coronavirus disease 2019(COVID-19).Patients with lymphopenia showed a remarkably higher risk of progressive thrombo... Lymphocyte dysregulation and coagulopathy are closely correlated with the severity and fatal risks of coronavirus disease 2019(COVID-19).Patients with lymphopenia showed a remarkably higher risk of progressive thrombosis and abnormal coagulation[1].Up to 80%of severely ill and deceased COVID-19 patients have been found to have diffuse alveolar damage and fibrinous thrombi[2].Autopsy studies confirmed widespread pulmonary embolism and microthrombosis in multiple organs,including but not limited to the lung,kidney,liver,heart,and brain[3]. 展开更多
关键词 thrombosis Th17 organs
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Intelligent Multi-objective Anomaly Detection Method Based on Robust Sparse Flow
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作者 Ke Wang weishan huang +2 位作者 Yan Chen Ningjiang Chen Ziqi He 《国际计算机前沿大会会议论文集》 2020年第2期445-457,共13页
To meet the needs of transportation systems for smart scenic security services,real-time detection and identification of traffic anomalies with high accuracy is essential.Based on the multi-objective sparse optical fl... To meet the needs of transportation systems for smart scenic security services,real-time detection and identification of traffic anomalies with high accuracy is essential.Based on the multi-objective sparse optical flow estimation method based on KLT algorithm,an improved algorithm for robust sparse optical flow is designed.The Forward-Backward error calculation method was used to eliminate the error optical flow generated by the KLT algorithm and the robustness of optical flow was improved.The proposed algorithm was verified by the actual traffic scene monitoring example,and the anomaly detection accuracy is above 80%.Furthermore,it has good detection effect on the benchmark dataset. 展开更多
关键词 Traffic anomaly detection KLT algorithm Sparse optical flow Forward-Backward error
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