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您的检索式：作者名="Danping Niu"
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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 | FINITE ELEMENT ANALYSIS OF OPTIMAL CONTROL PROBLEM GOVERNED BY STOKES EQUATIONS WITH L^2-NORM STATE-CONSTRAINTS显示文摘 | Haifeng Niu Danping Yang | 2011 | Journal of Computational Mathematics2011，29，5： | 2 |
| 3 | User Association and Wireless Backhaul Bandwidth Allocation for 5G Heterogeneous Networks in the Millimeter-Wave Band显示文摘The user association and wireless backhaul bandwidth allocation for a two-tier heterogeneous network(Het Net) in the millimeter wave(mm Wave) band is proposed in this article. The two-tier Het Net is built up with a macro base station(MBS) and several small cell SBSs, where the MBS is assumed to be equipped with large-scale antenna arrays but the SBSs only have single-antenna capability and they rely on the wireless link to the MBS for backhaul. The sum of logarithmic user rate, which is established according to the result of multi-user Multiple Input Multiple Output(MIMO) downlink employing Zero-Force Beamforming(ZFBF), is chosen as the network utility for the objective function. And a distributed optimization algorithm based on primal and dual decomposition is used to jointly optimize the user association variable xj,i and the wireless backhaul bandwidth factor β. Simulation results reveal that the distributed optimization algorithm jointly optimizing two variables outperforms the conventional SINR-based user association strategies. | zhenxiang su bo ai yichuan lin danping he ke guan ning wang guoyu ma li niu | 2018 | China Communications2018，15，4： | 2 |
| 4 | Characteristics of diffusion-tensor imaging for healthy adult rhesus monkey brains显示文摘Diffusion-tensor imaging can be used to observe the microstructure of brain tissue.Fractional anisotropy reflects the integrity of white matter fibers.Fractional anisotropy of a young adult brain is low in gray matter,high in white matter,and highest in the splenium of the corpus callosum.Thus,we selected the anterior and posterior limbs of the internal capsule,head of the caudate nucleus,semioval center,thalamus,and corpus callosum(splenium and genu)as regions of interest when using diffusion-tensor imaging to observe fractional anisotropy of major white matter fiber tracts and the deep gray matter of healthy rhesus monkeys aged 4–8 years.Results showed no laterality differences in fractional anisotropy values.Fractional anisotropy values were low in the head of caudate nucleus and thalamus in gray matter.Fractional anisotropy values were highest in the splenium of corpus callosum in the white matter,followed by genu of the corpus callosum and the posterior limb of the internal capsule.Fractional anisotropy values were lowest in the semioval center and posterior limb of internal capsule.These results suggest that fractional anisotropy values in major white matter fibers and the deep gray matter of 4–8-year-old rhesus monkeys are similar to those of healthy young people. | Xinxiang Zhao Jun Pu Yaodong Fan Xiaoqun Niu Danping Yu Yanglin Zhang | 2013 | Neural Regeneration Research2013，8，31： | 0 |
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