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| 1 | Comparison of nonhuman primates identified the suitable model for COVID-19显示文摘Identification of a suitable nonhuman primate(NHP)model of COVID-19 remains challenging.Here,we characterized severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection in three NHP species:Old World monkeys Macaca mulatta(M.mulatta)and Macaca fascicularis(M.fascicularis)and New World monkey Callithrix jacchus(C.jacchus).Infected M.mulatta and M.fascicularis showed abnormal chest radiographs,an increased body temperature and a decreased body weight.Viral genomes were detected in swab and blood samples from all animals.Viral load was detected in the pulmonary tissues of M.mulatta and M.fascicularis but not C.jacchus.Furthermore,among the three animal species,M.mulatta showed the strongest response to SARS-CoV-2,including increased inflammatory cytokine expression and pathological changes in the pulmonary tissues.Collectively,these data revealed the different susceptibilities of Old World and New World monkeys to SARS-CoV-2 and identified M.mulatta as the most suitable for modeling COVID-19. | Shuaiyao Lu Yuan Zhao Wenhai Yu Yun Yang Jiahong Gao Junbin Wang Dexuan Kuang Mengli Yang Jing Yang Chunxia Ma Jingwen Xu Xingli Qian Haiyan Li Siwen Zhao Jingmei Li Haixuan Wang Haiting Long Jingxian Zhou Fangyu Luo Kaiyun Ding Daoju Wu Yong Zhang Yinliang Dong Yuqin Liu Yinqiu Zheng Xiaochen Lin Li Jiao Huanying Zheng Qing Dai Qiangming Sun Yunzhang Hu Changwen Ke Hongqi Liu Xiaozhong Peng | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 5 |
| 2 | Generation and Realization of Digital Chaotic Key Sequence Based on Double K-L Transform显示文摘 | DU Baoxiang GENG Xiaoli CHEN Fangyue PAN Jing DING Qun | 2013 | Chinese Journal of Electronics2013，22，1： | 2 |
| 3 | Amplification of MPZL1/PZR promotes tumor cell migration through Src-mediated phosphorylation of cortactin in hepatocellular carcinoma显示文摘我们以前在 hepatocellular 癌(HCC ) 识别了体的拷贝数字改变(CNA ) 的 1 241 个区域。在现在的学习,我们发现那新奇周期性的焦点的 amplicon, 1q24.1-24.2,在 HCC 指向 MPZL1 基因。尤其是,在 MPZL1 和 HCC 标本的 intrahepatic 转移的表示层次之间有积极关联。MPZL1 能显著地提高 HCC 房间的迁移、变形的潜力。而且,我们发现 MPZL1 由支持 HCC 房间移植的机制之一由导致支持 metastatic 蛋白质的 phosphorylation 和激活, cortactin。另外,我们发现 Src kinase 调停 cortactin 的 phosphorylation 和激活由 MPZL1 overexpression 导致了。一起拿,这些调查结果建议 MPZL1 是拷贝数字扩大的一个周期性的区域在 HCC 目标为 1q24.1-24.2 的新奇支持 metastatic 基因。 | Deshui Jia Ying Jing Zhenfeng Zhang Li Liu Jie Ding Fangyu Zhao Chao Ge Qifeng Wang Taoyang Chen Ming Yao Jinjun Li Jianren Gu Xianghuo He | 2014 | Cell Research2014，24，2： | 2 |
| 4 | The olfactory route is a potential way for SARS-CoV-2 to invade the central nervous system of rhesus monkeys显示文摘Neurological manifestations are frequently reported in the COVID-19 patients.Neuromechanism of SARS-CoV-2 remains to be elucidated.In this study,we explored the mechanisms of SARS-CoV-2 neurotropism via our established non-human primate model of COVID-19.In rhesus monkey,SARS-CoV-2 invades the CNS primarily via the olfactory bulb.Thereafter,viruses rapidly spread to functional areas of the central nervous system,such as hippocampus,thalamus,and medulla oblongata.The infection of SARS-CoV-2 induces the inflammation possibly by targeting neurons,microglia,and astrocytes in the CNS.Consistently,SARS-CoV-2 infects neuro-derived SK-N-SH,glial-derived U251,and brain microvascular endothelial cells in vitro.To our knowledge,this is the first experimental evidence of SARS-CoV-2 neuroinvasion in the NHP model,which provides important insights into the CNS-related pathogenesis of SARS-CoV-2. | Li Jiao Yun Yang Wenhai Yu Yuan Zhao Haiting Long Jiahong Gao Kaiyun Ding Chunxia Ma Jingmei Li Siwen Zhao Haixuan Wang Haiyan Li Mengli Yang Jingwen Xu Junbin Wang Jing Yang Dexuan Kuang Fangyu Luo Xingli Qian Longjiang Xu Bin Yin Wei Liu Hongqi Liu Shuaiyao Lu Xiaozhong Peng | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 0 |
| 5 | Declines in Blood Lead Levels Among General Population-China,2000–2018显示文摘What is already known about this topic?Environmental and occupational lead exposure has generally declined in the past two decades.However,there is no large-scale monitoring of blood lead levels(BLLs)in the Chinese general population.What is added by this report?This nationally representative study showed declines of BLLs in all ages of participants;for children aged 3–5 years,down from 78.1μg/L to 16.9μg/L,corresponding to 78.4%decrease in the past two decades(2000–2018).What are the implications for public health practice?Recommendations for elevated BLLs on screening children at high risk now need to be revisited and updated from 100μg/L to 50μg/L in guidelines to conform with the substantial declines in China. | Yuebin Lyu Jing Chen Zheng Li Liang Ding Feng Zhao Yingli Qu Xulin Zheng Zheng Zhang Xiaojian Hu Saisai Ji Yifu Lu Yawei Li Yuanduo Zhu Yanwei Yang Yidan Qiu Haocan Song Wenli Zhang Bing Wu Jiayi Cai Miao Zhang Fangyu Li Ying Zhu Zhaojin Cao John Ji Xiaoyuan Yao Yuxin Zheng Xiaoming Shi | 2022 | China CDC weekly2022，4，50： | 0 |
| 6 | Optical Fibre Communication Feature Analysis and Small Sample Fault Diagnosis Based on VMD-FE and Fuzzy Clustering显示文摘To solve the problems of a few optical fibre line fault samples and the inefficiency of manual communication optical fibre fault diagnosis,this paper proposes a communication optical fibre fault diagnosis model based on variational modal decomposition(VMD),fuzzy entropy(FE)and fuzzy clustering(FC).Firstly,based on the OTDR curve data collected in the field,VMD is used to extract the different modal components(IMF)of the original signal and calculate the fuzzy entropy(FE)values of different components to characterize the subtle differences between them.The fuzzy entropy of each curve is used as the feature vector,which in turn constructs the communication optical fibre feature vector matrix,and the fuzzy clustering algorithm is used to achieve fault diagnosis of faulty optical fibre.The VMD-FE combination can extract subtle differences in features,and the fuzzy clustering algorithm does not require sample training.The experimental results show that the model in this paper has high accuracy and is relevant to the maintenance of communication optical fibre when compared with existing feature extraction models and traditional machine learning models. | Xiangqun Li Jiawen Liang Jinyu Zhu Shengping Shi Fangyu Ding Jianpeng Sun Bo Liu | 2024 | Energy Engineering2024，121，1： | 0 |
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