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| 1 | COVID-19 Super Spreading Event Amongst Elderly Individuals—Jilin Province,China,January 2021显示文摘Summary What is already known on this topic?Clusters of COVID-19 cases often happened in small settings(e.g.,families,offices,school,or workplaces)that facilitate person-to-person virus transmission,especially from a common exposure.What is added by this report?On January 10 and 11,2021,an individual gave three product promotional lectures in Tonghua City. | Laishun Yao Mingyu Luo Tiewu Jia Xingang Zhang Zhulin Hou Feng Gao Xin Wang Xiaogang Wu Weihua Cheng Guoqian Li Jing Lu Bing Zhao Tao Li Enfu Chen Dapeng Yin Biao Huang | 2021 | China CDC weekly2021，3，10： | 13 |
| 2 | Insight-HXMT observations of the first binary neutron star merger GW170817显示文摘Finding the electromagnetic(EM) counterpart of binary compact star merger, especially the binary neutron star(BNS) merger,is critically important for gravitational wave(GW) astronomy, cosmology and fundamental physics. On Aug. 17, 2017,Advanced LIGO and Fermi/GBM independently triggered the first BNS merger, GW170817, and its high energy EM counterpart,GRB 170817 A, respectively, resulting in a global observation campaign covering gamma-ray, X-ray, UV, optical, IR, radio as well as neutrinos. The High Energy X-ray telescope(HE) onboard Insight-HXMT(Hard X-ray Modulation Telescope) is the unique high-energy gamma-ray telescope that monitored the entire GW localization area and especially the optical counterpart(SSS17 a/AT2017 gfo) with very large collection area(~1000 cm^2) and microsecond time resolution in 0.2-5 MeV. In addition,Insight-HXMT quickly implemented a Target of Opportunity(ToO) observation to scan the GW localization area for potential X-ray emission from the GW source. Although Insight-HXMT did not detect any significant high energy(0.2-5 MeV) radiation from GW170817, its observation helped to confirm the unexpected weak and soft nature of GRB 170817 A. Meanwhile,Insight-HXMT/HE provides one of the most stringent constraints(~10^(-7) to 10^(-6) erg/cm^2/s) for both GRB170817 A and any other possible precursor or extended emissions in 0.2-5 MeV, which help us to better understand the properties of EM radiation from this BNS merger. Therefore the observation of Insight-HXMT constitutes an important chapter in the full context of multi-wavelength and multi-messenger observation of this historical GW event. | TiPei Li ShaoLin Xiong ShuangNan Zhang FangJun Lu LiMing Song XueLei Cao Zhi Chang Gang Chen Li Chen TianXiang Chen Yong Chen YiBao Chen YuPeng Chen Wei Cui WeiWei Cui JingKang Deng YongWei Dong YuanYuan Du MinXue Fu GuanHua Gao He Gao Min Gao MingYu Ge YuDong Gu Ju Guan ChengCheng Guo DaWei Han Wei Hu Yue Huang Jia Huo ShuMei Jia LuHua Jiang WeiChun Jiang Jing Jin YongJie Jin Bing Li ChengKui Li Gang Li MaoShun Li Wei Li Xian Li XiaoBo Li XuFang Li YanGuo Li ZiJian Li ZhengWei Li XiaoHua Liang JinYuan Liao CongZhan Liu GuoQing Liu HongWei Liu ShaoZhen Liu XiaoJing Liu Yuan Liu YiNong Liu Bo Lu XueFeng Lu Tao Luo Xiang Ma Bin Meng Yi Nang JianYin Nie Ge OU JinLu Qu Na Sai Liang Sun Yin Tan Lian Tao WenHui Tao YouLi Tuo GuoFeng Wang HuanYu Wang Juan Wang WenShuai Wang YuSa Wang XiangYang Wen BoBing WU Mei Wu GuangCheng Xiao He Xu YuPeng Xu LinLi Yan JiaWei Yang Sheng Yang YanJi Yang AiMei Zhang ChunLei Zhang ChengMo Zhang Fan Zhang HongMei Zhang Juan Zhang Qiang Zhang Shu Zhang Tong Zhang Wei Zhang WanChang Zhang WenZhao Zhang Yi Zhang Yue Zhang YiFei Zhang YongJie Zhang Zhao Zhang ZiLiang Zhang HaiSheng Zhao JianLing Zhao XiaoFan Zhao ShiJie Zheng Yue Zhu YuXuan Zhu ChangLin Zou | 2018 | Science China(Physics,Mechanics & Astronomy)2018，61，3： | 12 |
| 3 | Selection of optimal window length using STFT for quantitative SNR analysis of LFM signal显示文摘An adaptive approach to select analysis window parameters for linear frequency modulated(LFM) signals is proposed to obtain the optimal 3 dB signal-to-noise ratio(SNR) in the shorttime Fourier transform(STFT) domain.After analyzing the instantaneous frequency and instantaneous bandwidth to deduce the relation between the window length and deviation of the Gaussian window,high-order statistics is used to select the appropriate window length for STFT and get the optimal SNR with the right time-frequency resolution according to the signal characteristic under a fixed sampling rate.Computer simulations have verified the effectiveness of the new method. | Qingbo Yin Liran Shen Mingyu Lu Xiangyang Wang Zhi Liu | 2013 | Journal of Systems Engineering and Electronics2013，24，1： | 11 |
| 4 | The enhanced X-ray Timing and Polarimetry mission—eXTP显示文摘In this paper we present the enhanced X-ray Timing and Polarimetry mission—eXTP. eXTP is a space science mission designed to study fundamental physics under extreme conditions of density, gravity and magnetism. The mission aims at determining the equation of state of matter at supra-nuclear density, measuring effects of QED, and understanding the dynamics of matter in strong-field gravity. In addition to investigating fundamental physics, eXTP will be a very powerful observatory for astrophysics that will provide observations of unprecedented quality on a variety of galactic and extragalactic objects. In particular, its wide field monitoring capabilities will be highly instrumental to detect the electro-magnetic counterparts of gravitational wave sources.The paper provides a detailed description of:(1) the technological and technical aspects, and the expected performance of the instruments of the scientific payload;(2) the elements and functions of the mission, from the spacecraft to the ground segment. | ShuangNan Zhang Andrea Santangelo Marco Feroci YuPeng Xu FangJun Lu Yong Chen Hua Feng Shu Zhang Sφren Brandt Margarita Hernanz Luca Baldini Enrico Bozzo Riccardo Campana Alessandra De Rosa YongWei Dong Yuri Evangelista Vladimir Karas Norbert Meidinger Aline Meuris Kirpal Nandra Teng Pan Giovanni Pareschi Piotr Orleanski QiuShi Huang Stephane Schanne Giorgia Sironi Daniele Spiga Jiri Svoboda Gianpiero Tagliaferri Christoph Tenzer Andrea Vacchi Silvia Zane Dave Walton ZhanShan Wang Berend Winter Xin Wu Jean J.M.in't Zand Mahdi Ahangarianabhari Giovanni Ambrosi Filippo Ambrosino Marco Barbera Stefano Basso Jörg Bayer Ronaldo Bellazzini Pierluigi Bellutti Bruna Bertucci Giuseppe Bertuccio Giacomo Borghi XueLei Cao Franck Cadoux Francesco Ceraudo TianXiang Chen Yu Peng Chen Jerome Chevenez Marta Civitani Wei Cui WeiWei Cui Thomas Dauser Ettore Del Monte Sergio Di Cosimo Sebastian Diebold Victor Doroshenko Michal Dovciak YuanYuan Du Lorenzo Ducci QingMei Fan Yannick Favre Fabio Fuschino JoséLuis Ga'lvez Min Gao MingYu Ge Olivier Gevin Marco Grassi QuanYing Gu YuDong Gu DaWei Han Bin Hong Wei Hu Long Ji ShuMei Jia WeiChun Jiang Thomas Kennedy Ingo Kreykenbohm Irfan Kuvvetli Claudio Labanti Luca Latronico Gang Li MaoShun Li Xian Li Wei Li ZhengWei Li Olivier Limousin HongWei Liu XiaoJing Liu Bo Lu Tao Luo Daniele Macera Piero Malcovati Adrian Martindale Malgorzata Michalska Bin Meng Massimo Minuti Alfredo Morbidini Fabio Muleri Stephane Paltani Emanuele Perinati Antonino Picciotto Claudio Piemonte JinLu Qu Alexandre Rachevski Irina Rashevskaya Jerome Rodriguez Thomas Schanz ZhengXiang Shen LiZhi Sheng JiangBo Song LiMing Song Carmelo Sgro Liang Sun Ying Tan Phil Uttley Bo Wang DianLong Wang GuoFeng Wang Juan Wang LangPing Wang YuSa Wang Anna L.Watts XiangYang Wen Jörn Wilms ShaoLin Xiong JiaWei Yang Sheng Yang YanJi Yang Nian Yu WenDa Zhang Gianluigi Zampa Nicola Zampa Andrzej A.Zdziarski AiMei Zhang ChengMo Zhang Fan Zhang Long Zhang Tong Zhang Yi Zhang XiaoLi Zhang ZiLiang Zhang BaoSheng Zhao ShiJie Zheng Yu Peng Zhou Nicola Zorzi J.Frans Zwart | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，2： | 11 |
| 5 | Artificial intelligence in drug design显示文摘Thanks to the fast improvement of the computing power and the rapid development of the computational chemistry and biology,the computer-aided drug design techniques have been successfully applied in almost every stage of the drug discovery and development pipeline to speed up the process of research and reduce the cost and risk related to preclinical and clinical trials.Owing to the development of machine learning theory and the accumulation of pharmacological data, the artificial intelligence(AI) technology, as a powerful data mining tool, has cut a figure in various fields of the drug design, such as virtual screening,activity scoring, quantitative structure-activity relationship(QSAR) analysis, de novo drug design, and in silico evaluation of absorption, distribution, metabolism, excretion and toxicity(ADME/T) properties. Although it is still challenging to provide a physical explanation of the AI-based models, it indeed has been acting as a great power to help manipulating the drug discovery through the versatile frameworks. Recently, due to the strong generalization ability and powerful feature extraction capability,deep learning methods have been employed in predicting the molecular properties as well as generating the desired molecules,which will further promote the application of AI technologies in the field of drug design. | Feisheng Zhong Jing Xing Xutong Li Xiaohong Liu Zunyun Fu Zhaoping Xiong Dong Lu Xiaolong Wu Jihui Zhao Xiaoqin Tan Fei Li Xiaomin Luo Zhaojun Li Kaixian Chen Mingyue Zheng Hualiang Jiang | 2018 | Science China(Life Sciences)2018，61，10： | 10 |
| 6 | Linear FM Signal Parameter Estimation Using STFT and FRFT显示文摘 | SHEN Liran YIN Qingbo LU Mingyu ZHANG Qi GUO Lili SHEN Tianen ZHAO Guoku NING Shushi | 2013 | Chinese Journal of Electronics2013，22，2： | 8 |
| 7 | Diagnosis and therapy of primary undifferentiated embryonal sarcoma of the liver显示文摘Primary undifferentiated embryonal sarcoma (UES)of the liver,also called malignant mesenchymoma of the liver,is a rare hepatic malignancy.It arises from the mesoderm and comprises more than two types of sarcomas.UES can occur at any site of the body;common sites include the retroperitoneum and the lower extremities.Only a few cases of UES have been reported worldwide.1 In this study,we retrospectively examined the clinical data of 11 patients with UES between January 2000 and November 2011 at the People's Liberation Army General Hospital. | Lyu Shaocheng Shi Xianjie Liang Yurong Gu Wanqing Ji Wenbin Luo Ying Lu Fang Xu Mingyue | 2014 | Chinese Medical Journal2014，，8： | 7 |
| 8 | The Medium Energy X-ray telescope (ME) onboard the Insight-HXMT astronomy satellite显示文摘The Medium Energy X-ray telescope(ME) is one of the three main telescopes on board the Insight hard X-ray modulation telescope(Insight-HXMT) astronomy satellite. ME contains 1728 pixels of Si-PIN detectors sensitive in 5-30 ke V with a total geometrical area of 952 cm^2. The application specific integrated circuit(ASIC) chip, VA32TA6, is used to achieve low power consumption and low readout noise. The collimators define three kinds of field of views(FOVs) for the telescope, 1°×4°, 4°×4°,and blocked ones. Combination of such FOVs can be used to estimate the in-orbit X-ray and particle background components.The energy resolution of ME is ~3 ke V at 17.8 ke V(FWHM) and the time resolution is 255 μs. In this paper, we introduce the design and performance of ME. | XueLei Cao WeiChun Jiang Bin Meng WanChang Zhang Tao Luo Sheng Yang ChunLei Zhang YuDong Gu Liang Sun XiaoJing Liu JiaWei Yang Xian Li Ying Tan ShaoZhen Liu YuanYuan Du FangJun Lu YuPeng Xu Ju Guan ShuangNan Zhang HuanYu Wang TiPei Li ChengMo Zhang XiangYang Wen JinLu Qu LiMing Song XiaoBo Li MingYu Ge YuPeng Zhou ShaoLin Xiong Shu Zhang YongJie Zhang ZeHao Cheng Fei Zhang MaoShun Li XiaoHua Liang Min Gao EnBo Yang XiaoHang Liu HongWei Liu YiJung Yang Fan Zhang | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，4： | 5 |
| 9 | Applying high-performance computing in drug discovery and molecular simulation显示文摘In recent decades, high-performance computing(HPC) technologies and supercomputers in China have significantly advanced, resulting in remarkable achievements. Computational drug discovery and design,which is based on HPC and combines pharmaceutical chemistry and computational biology, has become a critical approach in drug research and development and is financially supported by the Chinese government. This approach has yielded a series of new algorithms in drug design, as well as new software and databases. This review mainly focuses on the application of HPC to the fields of drug discovery and molecular simulation at the Chinese Academy of Sciences, including virtual drug screening, molecular dynamics simulation, and protein folding. In addition, the potential future application of HPC in precision medicine is briefly discussed. | Tingting Liu Dong Lu Hao Zhang Mingyue Zheng Huaiyu Yang Yechun Xu Cheng Luo Weiliang Zhu Kunqian Yu Hualiang Jiang | 2016 | National Science Review2016，3，1： | 2 |
| 10 | Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite显示文摘As China’s first X-ray astronomical satellite, the Hard X-ray Modulation Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15, 2017, is a wide-band(1-250 ke V) slat-collimator-based X-ray astronomy satellite with the capability of all-sky monitoring in 0.2-3 Me V. It was designed to perform pointing, scanning and gamma-ray burst(GRB)observations and, based on the Direct Demodulation Method (DDM), the image of the scanned sky region can be reconstructed.Here we give an overview of the mission and its progresses, including payload, core sciences, ground calibration/facility, ground segment, data archive, software, in-orbit performance, calibration, background model, observations and some preliminary results. | Shuang-Nan Zhang TiPei Li FangJun Lu LiMing Song YuPeng X u CongZhan Liu Yong Chen XueLei Cao QingCui Bu Zhi Chang Gang Chen Li Chen TianXiang Chen YiBao Chen YuPeng Chen Wei Cui WeiWei Cui JingKang Deng YongWei Dong Yuan Yuan Du MinXue Fu GuanHua Gao He Gao Min Gao MingYu Ge YuDong Gu Ju Guan Can Gungor ChengCheng Guo DaWei Han Wei Hu Yue Huang Jia Huo ShuMei Jia LuHua Jiang WeiChun Jiang Jing Jin YongJie Jin Bing Li ChengKui Li Gang Li MaoShun Li Wei Li Xian Li XiaoBo Li XuFang Li YanGuo Li ZiJian Li ZhengWei Li XiaoHua Liang JinYuan Liao GuoQing Liu HongWei Liu ShaoZhen Liu XiaoJing Liu Yuan Liu YiNong Liu Bo Lu XueFeng Lu Tao Luo Xiang Ma Bin Meng Yi Nang JianYin Nie Ge Ou JinLu Qu Na Sai RenCheng Shang GuoHong Shen Liang Sun Ying Tan Lian Tao YouLi Tuo Chen Wang ChunQin Wang GuoFeng Wang HuanYu Wang Juan Wang WenShuai Wang YuSa Wang XiangYang Wen BaiYang Wu BoBing Wu Mei Wu GuangCheng Xiao ShaoLin Xiong LinLi Yan JiaWei Yang Sheng Yang YanJi Yang QiBin Yi Bin Yuan AiMei Zhang ChunLei Zhang ChengMo Zhang Fan Zhang HongMei Zhang Juan Zhang Qiang Zhang ShenYi Zhangs Shu Zhang Tong Zhang WanChang Zhang Wei Zhang WenZhao Zhang Yi Zhang YiFei Zhang YongJie Zhang Yue Zhang Zhao Zhang Zhi Zhang ZiLiang Zhang HaiSheng Zhao XiaoFan Zhao ShiJie Zheng JianFeng Zhou YuXuan Zhu Yue Zhu RenLin Zhuang | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，4： | 2 |
| 11 | Taking the pulse of COVID-19:a spatiotemporal perspective显示文摘The sudden outbreak of the Coronavirus disease(COVID-19)swept across the world in early 2020,triggering the lockdowns of several billion people across many countries,including China,Spain,India,the U.K.,Italy,France,Germany,Brazil,Russia,and the U.S.The transmission of the virus accelerated rapidly with the most confirmed cases in the U.S.,India,Russia,and Brazil.In response to this national and global emergency,the NSF Spatiotemporal Innovation Center brought together a taskforce of international researchers and assembled implementation strategies to rapidly respond to this crisis,for supporting research,saving lives,and protecting the health of global citizens.This perspective paper presents our collective view on the global health emergency and our effort in collecting,analyzing,and sharing relevant data on global policy and government responses,human mobility,environmental impact,socioeconomical impact;in developing research capabilities and mitigation measures with global scientists,promoting collaborative research on outbreak dynamics,and reflecting on the dynamic responses from human societies. | Chaowei Yang Dexuan Sha Qian Liu Yun Li Hai Lan Weihe Wendy Guan Tao Hu Zhenlong Li Zhiran Zhang John Hoot Thompson Zifu Wang David Wong Shiyang Ruan Manzhu Yu Douglas Richardson Luyao Zhang Ruizhi Hou You Zhoua Cheng Zhong Yifei Tian Fayez Beaini Kyla Carte Colin Flynn Wei Liu Dieter Pfoser Shuming Bao Mei Li Haoyuan Zhang Chunbo Liu Jie Jiang Shihong Du Liang Zhao Mingyue Lu Lin Li Huan Zhou Andrew Ding | 2020 | International Journal of Digital Earth2020，13，10： | 2 |
| 12 | Traditional Chinese Medicine guidelines for coronavirus disease 2019显示文摘OBJECTIVE:To summarize the evidence from Traditional Chinese Medicine(TCM)practice in the treatment of coronavirus disease 2019(COVID-19)and provide timely clinical practice guidance.METHODS:The guidelines were developed in accordance with the World Health Organization rapid guideline process.The evidence on TCM for COVID-19 from published guidelines,direct and indirect published clinical evidence,first hand clinical data,and expert experience and consensus were collected.The grading of recommendations assessment,development and evaluation(GRADE)method was used to grade the evidence and make the recommendations.RESULTS:Based on the available evidence,the guidelines recommended 17 Chinese medicines for COVID-19:2 Chinese herbal granules,7 Chinese patent medicines,and 8 Chinese herbal injections.CONCLUSION:As the literature search was conducted on March,any subsequent versions of these guidelines require an up-to-date literature review.We hope that the evidence summary in these guidelines will be helpful in global efforts to address COVID-19. | Liang Ning Ma Yanfang Wang Jingya Li Huizhen Wang Xiaohui Jiao Liwen Liu Bin Ma Yan Zhao Chen Luo Xufei Zhao Siya Lu Meng Cao Jin Hu Wenpin Zhang Hairong Liu Guoxiu Lu Cheng Liu Mengyu Li Li Han Xuejie Liu Yuqi Wang Liying Zhao Xueyao Wei Dongfeng Bai Jing Sun Mingyu Yang Yong Wu Xiaodan Chen Yaolong Shi Nannan Wang Yanping Wang Yongyan | 2020 | Journal of Traditional Chinese Medicine2020，40，6： | 2 |
| 13 | Induction of priming by cold stress via inducible volatile cues in neighboring tea plants^FA显示文摘Plants have evolved sophisticated defense mechanisms to overcome their sessile nature.However,if and how volatiles from cold‐stressed plants can trigger interplant communication is still unknown.Here,we provide the first evidence for interplant communication via inducible volatiles in cold stress.The volatiles,including nerolidol,geraniol,linalool,and methyl salicylate,emitted from cold‐stressed tea plants play key role(s)in priming cold tolerance of their neighbors via a C‐repeatbinding factors‐dependent pathway.The knowledge will help us to understand how plants respond to volatile cues in cold stress and agricultural ecosystems. | Mingyue Zhao Lu Wang Jingming Wang Jieyang Jin Na Zhang Lei Lei Ting Gao Tingting Jing Shangrui Zhang Yi Wu Bin Wu Yunqing Hu Xiaochun Wan Wilfried Schwab Chuankui Song | 2020 | Journal of Integrative Plant Biology2020，62，10： | 2 |
| 14 | Crosslayer optimization of user scheduling and resource allocation in power-line communication systems显示文摘 | Xu Zhiqiang Zhai Mingyue Lu Jun | 2011 | IEEE Transactions on Power Delivery2011，26，3： | 1 |
| 15 | Inhibition of receptor interacting protein kinases attenuates cardiomyocyte hypertrophy induced by palmitic acid 显示文摘 | ZHAO Mingyue LU Lihui LEI Song | 2016 | Oxid Med Cell Lon gev2016，，14： | 1 |
| 16 | Multi-path based secure communication in wireless mesh networks显示文摘Communication security is a critical aspect of QoS provisioning in wireless mesh network (WMN). Because of the inherent characteristics of WMN, conventional security mechanisms cannot be applied. In order to guarantee the communication security, a novel communication security mechanism is proposed. The mechanism uses a communication encryption scheme to encrypt data packets and employs a risk avoidance scheme to avoid the malicious nodes during communications. Simulation results indicate that the mechanism is able to provide secure communication effectively and reduce the damage of attacks through multiple paths. | Ding Xuyang Fan Mingyu Lu Xiaojun Zhu Dayong Wang Jiahao | 2007 | Journal of Systems Engineering and Electronics2007，18，4： | 1 |
| 17 | Membrane buckling patterns and secondary buckling analysis 显示文摘 | Li Yunliang Tan Huifeng Wang Changguo Lu Mingyu | 2008 | International Joumal of Space Structures2008，23，3： | 1 |
| 18 | Optimize aluminum's surface roughness in rolling lubrication process 显示文摘 | Sun Jianlin Huang Ying Lu Mingyu | 2013 | In- dustrial Lubrication and Tribology2013，65，： | 1 |
| 19 | Characterization of complex hydrocarbons in cigarette smoke condensate by gas chromatography-mass spectrometry and comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry显示文摘 | LU XIN ZHAO MINGYUE KONG HONGWEI | 2004 | J Chromat A2004，1043，： | 1 |
| 20 | Selection ofoptimal window length using STFT for quantitative SNR a-nalysis of LFM signal 显示文摘 | Yin Qingbo Shen Liran Lu Mingyu | 2013 | IEEE Transactions on Journalof Systems Engineering and Electronics2013，24，1： | 1 |
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