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| 1 | Coinfection with influenza A virus enhances SARS-CoV-2 infectivity显示文摘The upcoming flu season in the Northern Hemisphere merging with the current COVID-19 pandemic raises a potentially severe threat to public health.Through experimental coinfection with influenza A virus(IAV)and either pseudotyped or live SARS-CoV-2 virus,we found that IAV preinfection significantly promoted the infectivity of SARS-CoV-2 in a broad range of cell types.Remarkably,in vivo,increased SARS-CoV-2 viral load and more severe lung damage were observed in mice coinfected with IAV.Moreover,such enhancement of SARS-CoV-2 infectivity was not observed with several other respiratory viruses,likely due to a unique feature of IAV to elevate ACE2 expression.This study illustrates that IAV has a unique ability to aggravate SARS-CoV-2 infection,and thus,prevention of IAV infection is of great significance during the COVID-19 pandemic. | Lei Bai Yongliang Zhao Jiazhen Dong Simeng Liang Ming Guo Xinjin Liu Xin Wang Zhixiang Huang Xiaoyi Sun Zhen Zhang Lianghui Dong Qianyun Liu Yucheng Zheng Danping Niu Min Xiang Kun Song Jiajie Ye Wenchao Zheng Zhidong Tang Mingliang Tang Yu Zhou Chao Shen Li Zhou Yu Chen Huan Yan Ke Lan Ke Xu | 2021 | Cell Research2021，31，4： | 16 |
| 2 | Routing Protocol for Heterogeneous FANETs with Mobility Prediction显示文摘In recent years,with the growth in Unmanned Aerial Vehicles(UAVs),UAV-based systems have become popular in both military and civil applications.In these scenarios,the lack of reliable communication infrastructure has motivated UAVs to establish a network as flying nodes,also known as Flying Ad Hoc Networks(FANETs).However,in FANETs,the high mobility degree of flying and terrestrial users may be responsible for constant changes in the network topology,making end-to-end connections in FANETs challenging.Mobility estimation and prediction of UAVs can address the challenge mentioned above since it can provide better routing planning and improve overall FANET performance in terms of continuous service availability.We thus develop a Software Defined Network(SDN)-based heterogeneous architecture for reliable communication in FANETs.In this architecture,we apply an Extended Kalman Filter(EKF)for accurate mobility estimation and prediction of UAVs.In particular,we formulate the routing problem in SDN-based Heterogeneous FANETs as a graph decision problem.As the problem is NP-hard,we further propose a Directional Particle Swarming Optimization(DPSO)approach to solve it.The extensive simulation results demonstrate that the proposed DPSO routing can exhibit superior performance in improving the goodput,packet delivery ratio,and delay. | Qihui Wu Min Zhang Chao Dong Yong Feng Yanli Yuan Simeng Feng Tony Q.S.Quek | 2022 | China Communications2022，19，1： | 3 |
| 3 | Adaptive 3D Routing Protocol for Flying Ad Hoc Networks Based on Prediction-Driven Q-Learning显示文摘The routing protocols are paramount to guarantee the Quality of Service(QoS)for Flying Ad Hoc Networks(FANETs).However,they still face several challenges owing to high mobility and dynamic topology.This paper mainly focuses on the adaptive routing protocol and proposes a Three Dimensional Q-Learning(3DQ)based routing protocol to guarantee the packet delivery ratio and improve the QoS.In 3DQ routing,we propose a Q-Learning based routing decision scheme,which contains a link-state prediction module and routing decision module.The link-state prediction module allows each Unmanned Aerial Vehicle(UAV)to predict the link-state of Neighboring UAVs(NUs),considering their Three Dimensional mobility and packet arrival.Then,UAV can produce routing decisions with the help of the routing decision module considering the link-state.We evaluate the various performance of 3DQ routing,and simulation results demonstrate that 3DQ can improve packet delivery ratio,goodput and delay of baseline protocol at most 71.36%,89.32%and 83.54%in FANETs over a variety of communication scenarios. | Min Zhang Chao Dong Simeng Feng Xin Guan Huichao Chen Qihui Wu | 2022 | China Communications2022，19，5： | 1 |
| 4 | Genetic mecha- nism and failure process of the Mogangling seismic landslide显示文摘 | Wu Junfeng Wang Yunsheng Dong Simeng | 2013 | Journal Geological Society of India2013，，82： | 1 |
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