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Insight-HXMT observations of the first binary neutron star merger GW170817

Science China(Physics,Mechanics & Astronomy) 2018年第3期61卷 26-33页

作者： 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 key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Department of Physics Tsinghua University Beijing 100084 China University of Chinese Academy of Sciences Chinese Academy of Sciences Beijing 100049 China Department of Astronomy Beijing Normal University Beijing 100088 China Department of Engineering Physics Tsinghua University Beijing 100084 China

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 170817A, 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 （SSS17a/AT2017gfo） with very large collection area （M000 cm2） 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 170817A. Meanwhile, Insight-HXMT/HE provides one of the most stringent constraints （-10-7 to 104 erg/cm2/s） for both GRB170817A 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.

关键词： GW170817 BNS merger gravitational wave electromagnetic counterpart

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盘点气候风险机遇,展望健康繁荣未来

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科学通报 2024年第27期69卷 4005-4011页

作者：张诗卉张弛蔡闻佳白玉琪 Max Callaghan 常楠陈彬陈慧琪程亮亮戴瀚程代鑫范维澄房小怡高仝耿阳关大博胡艺馨华峻翊黄存瑞黄弘黄建斌黄小猛纪思翰蒋俏蕾姜晓朋 Gregor Kiesewetter 李湉湉梁璐林波荣林华亮刘欢刘起勇刘小波刘钊刘竹刘昱甫陆波鲁晨曦罗震宇马伟米志付任超 Marina Romanello 沈鉴翔苏婧孙语泽孙昕璐汤绪 Maria Walawender 王灿王情汪蕊 Laura Warnecke 魏汪宇文三妹谢杨熊辉徐冰颜钰杨秀姚芳虹俞乐袁嘉灿曾仪娉张镜张璐张锐张尚辰张少辉赵梦真郑大山周浩周景博周子乔罗勇宫鹏清华大学地球系统科学系北京100084 北京理工大学管理学院北京100081 Mercator Research Institute on Global Commons and Climate Change Mercator Research Institute on Global Commons and Climate ChangeBerlin 10829Germany 南京医科大学公共卫生学院南京211166 北京师范大学环境学院北京100875 中山大学公共卫生学院广州510080 北京大学环境科学与工程学院北京100871 清华大学公共安全研究所北京100084 清华大学工程物理系北京100084 中国气象科学研究院气象影响与风险研究中心北京100086 山东师范大学商学院济南250013 清华大学建筑学院北京100084 南方科技大学统计与数据科学系深圳518055 中国海洋大学国际事务与公共管理学院青岛266003 清华大学万科公共卫生学院北京100084 清华大学新闻与传播学院北京100084 世界卫生组织驻华代表处北京100600 Pollution Management Research Group EnergyClimateand Environment ProgramInternational Institute for Applied Systems Analysis(IIASA)Laxenburg 1-A-2361Austria 中国疾病预防控制中心环境与健康相关产品安全所环境健康风险评估室北京102206 Department of Landscape Architecture&Environmental Planning University of CaliforniaBerkeley CA 94607USA 清华大学环境学院北京100084 中国疾病预防控制中心传染病预防控制所传染病预防控制国家重点实验室北京102206 北京经济管理职业学院临空经济管理学院北京100102 中国气象局国家气候中心北京100081 Geography College of Life and Environmental SciencesUniversity of ExeterExeter EX12LUUK 山东大学齐鲁医学院公共卫生学院流行病学系济南250002 The Bartlett School of Sustainable Construction University College LondonLondon WC1H 0ALUK 香港大学建筑学院中国香港999077 Institute for Global Health University College LondonLondon WC1H 0ALUK 清华大学人文学院北京100084 复旦大学大气与海洋系/大气科学研究院上海200438 复旦大学极端天气/气候事件与人体健康风险互联和治理国际卓越中心上海200438 北京航空航天大学经济与管理学院北京100083 香港科技大学计算机科学与工程系广州511453 清华大学气候变化与可持续发展研究院北京100084 北京大学体育教研部北京100871 清华大学苏世民学院北京100084 清华大学城市治理与可持续发展研究院北京100084 百度研究院北京100091 香港大学地球科学系和地理系中国香港999077

气候变化带来的健康风险与日俱增,煤炭消费及相关碳排放量的反弹,再度敲响了中国气候变化警钟.2022年,中国面临了严峻的气候挑战.极端天气事件发生的频率和强度不断上升,许多地区气温纪录屡创新高,全国平均气温攀升至历史第二高位,同时... 详细信息

气候变化带来的健康风险与日俱增,煤炭消费及相关碳排放量的反弹,再度敲响了中国气候变化警钟.2022年,中国面临了严峻的气候挑战.极端天气事件发生的频率和强度不断上升,许多地区气温纪录屡创新高,全国平均气温攀升至历史第二高位,同时降水量自2012年以来创新低,南方地区遭遇夏秋连旱,而湖南和东北地区则出现了极端降雨和洪涝灾害.采取及时、充分的措施不仅能减轻气候变化对健康的影响,还将保护基础设施不被极端天气破坏.

关键词：煤炭消费极端天气事件基础设施气候变化极端降雨碳排放量气候风险盘点

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Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen M.L.Chen S.J.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.Q.Chen Z.J.Chen Z.Y.Chen S.K.Choi X.Chu G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.Q.Deng Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Fang S.S.Fang W.X.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng Y.T.Feng K.Fischer M.Fritsch C.D.Fu J.L.Fu Y.W.Fu H.gao Y.N.gao Yang gao S.Garbolino I.Garzia P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck B.Ding X.X.Ding Y.Ding Y.Ding J.Dong L.Y.Dong M.Y.Dong X.Dong M.C.Du S.X.Du Z.H.Duan P.Egorov Y.H.Fan J.Fang JA.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan Z.L.Guan A.Q.Guo L.B.Guo M.J.Guo R.P.Guo Y.P.Guo A.Guskov J.Gutierrez K.L.Han T.T.Han X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou Z.L.Hou B.Y.Hu H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang X.T.Huang Y.P.Huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad J.Jackson S.Janchiv J.H.Jeong Q.Ji Q.P.Ji W.Ji X.B.Ji X.L.Ji Y.Y.Ji X.Q.Jia Z.K.Jia D.jiang H.B.jiang P.C.jiang S.S.jiang T.J.jiang X.S.jiang Y.jiang J.B.Jiao J.K.Jiao Z.Jiao S.Jin Y.Jin M.Q.Jing X.M.Jing T.Johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui A.Kupsc W.K\"uhn J.J.Lane P.Larin L.Lavezzi T.T.Lei Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.B.Li H.J.Li H.N.Li Hui Li J.R.Li J.S.Li K.Li L.J.Li L.K.Li Lei Li M.H.Li P.R.Li Q.M.Li Q.X.Li R.Li S.X.Li T.Li W.D.Li W.G.Li X.Li X.H.Li X.L.Li X.Y.Li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780 BochumGermany Budker Institute of Nuclear Physics SB RAS(binP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central South University Changsha 410083China China Center of Advanced Science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(1260)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2(ππ)_(S)are observed in both *** the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

关键词： BESIII D^(0)meson decays amplitude analysis CP-even fraction

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基于动态流变法的温拌高黏改性沥青中高温性能研究

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公路交通科技 2022年第6期39卷 25-34页

作者：张泽许斌刘奕姜涛高奥东重庆交通大学土木工程学院重庆400074 中路高科(北京)公路技术有限公司北京100088 交通运输部公路科学研究院北京100088 广西交通投资集团南宁高速公路运营有限公司广西南宁530023

为了探究两种温拌剂RH和JY-W1对高黏改性沥青流变性能的影响规律,提出了高黏改性沥青与两种温拌高黏改性沥青的制备方法。结合原样PG高温试验、温度扫描试验、频率扫描试验、多应力重复蠕变恢复(MSCR)试验,从抵抗永久变形、蠕变恢复及... 详细信息

为了探究两种温拌剂RH和JY-W1对高黏改性沥青流变性能的影响规律,提出了高黏改性沥青与两种温拌高黏改性沥青的制备方法。结合原样PG高温试验、温度扫描试验、频率扫描试验、多应力重复蠕变恢复(MSCR)试验,从抵抗永久变形、蠕变恢复及沥青材料的动态响应等方面对两种温拌高黏改性沥青和原样高黏改性沥青进行了中高温时流变性能的分析评价。结果表明:高黏改性沥青和温拌高黏改性沥青的制备,需要将制备时间、剪切速率、温度等参数严格控制在合理的范围之内,外观应无杂质,并保证沥青基本性质满足要求;两种温拌剂及其不同掺量对高黏改性沥青恢复性能和高温抗车辙性能的影响程度不同,两种温拌高黏改性沥青的蠕变恢复性能和抗变形能力总体好于高黏改性沥青,两种温拌剂在一定的应力和温度范围内可以改善高黏改性沥青的高温性能;相比较两种温拌高黏改性沥青,RH温拌剂在高黏改性沥青中抵抗永久变形的表现更为突出,尤其掺量为4%时;温度较低时,JY-W1温拌高黏改性沥青的抗剪切变形能力高于RH温拌高黏改性沥青,其中最为突出的是0.4%的掺量;两种温拌剂对沥青抗剪切变形能力的影响程度不同,G都会随着扫描频率的增加逐渐增大,并且随温度升高表现为下降态势;高黏改性沥青在低温时表现更好的弹性,JY-W1温拌剂相对RH温拌剂对高黏改性沥青的抗剪切变形作用影响更大。

关键词：道路工程中高温流变性能动态剪切流变高黏改性沥青温拌剂

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Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

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Science China(Information Sciences) 2021年第1期64卷 5-78页

作者： Xiaohu YOU Cheng-Xiang WANG Jie HUANG Xiqi gao Zaichen zhang Mao WANG Yongming HUANG Chuan zhang Yanxiang jiang Jiaheng WANG Min ZHU bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU Yang YANG Zening LIU Ping zhang Xiaofeng TAO Shaoqian LI Zhi CHEN Xinying MA Chih-Lin I Shuangfeng HAN ke LI Chengkang PAN Zhimin ZHENG Lajos HANZO xuemin (Sherman) SHEN Yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua YANG Jun WANG Erik G.LARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue gao H.Vincent POOR Gerhard P.FETTWEIS Ying-Chang LIANG National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast University Purple Mountain Laboratories Shanghai Institute of Fog Computing Technology (SHIFT) ShanghaiTech University Research Center for Network Communication Peng Cheng Laboratory State key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications National key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China (UESTC) China Mobile Research Institute School of Electronics and Computer Science University of Southampton Department of Electrical and Computer Engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney School of Electrical and Electronic Engineering The University of Manchester LiFi Research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical Engineering (ISY) Link?ping University Institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast State key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University School of Electrical and Computer Engineering Georgia Institute of Technology 5G Innovation Centre University of Surrey Princeton University Vodafone Chair Mobile Communications Systems Technische Universit?t Dresden Center for Intelligent Networking and Communications (CINC) University of Electronic Science and Technology of China (UESTC)

The fifth generation(5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability,and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation(6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV) communication networks, thus achieving a space-airground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6GHz, millimeter wave(mmWave), terahertz(THz),and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable f

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security.

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Safety and efficacy of meplazumab in healthy volunteers and COVID-19 patients: a randomized phase 1 and an exploratory phase 2 trial

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Signal Transduction and Targeted Therapy 2021年第6期6卷 1845-1855页

作者： Huijie Bian Zhao-Hui Zheng Ding Wei Aidong Wen Zheng zhang Jian-Qi Lian Wen-Zhen Kang Chun-Qiu Hao Jing Wang Rong-Hua Xie ke Dong Jie-Lai Xia Jin-Lin Miao Wen Kang Guoquan Li Di zhang Mingru zhang Xiu-xuan Sun Likun Ding Kui zhang Junfeng Jia Jin Ding Zhiqin Li Yanyan Jia Lin-Na Liu Zhe zhang Zhao-Wei gao Hong Du Na Yao Qing Wang ke Wang Jie-Jie Geng bin Wang Ting Guo Ruo Chen Yu-Meng Zhu Li-Juan Wang Qian He Rui-Rui Yao Ying Shi Xiang-Min Yang Jian-Sheng Zhou Yi-Nan Ma Ya-Tao Wang xue Liang Fei Huo Zhe Wang Yang zhang xu Yang Ye zhang Lu-Hua gao Ling Wang Xiao-Chun Chen Hao Tang Shuang-Shuang Liu Qing-Yi Wang Zhi-Nan Chen Ping Zhu National Translational Science Center for Molecular Medicine and Department of Cell Biology Fourth Military Medical UniversityXi'anChina Department of Clinical Immunology Xijing HospitalFourth Military Medical UniversityXi'anChina Department of Pharmacy Xijing HospitalFourth Military Medical UniversityXi'anChina Center for Infectious Diseases Tangdu HospitalFourth Military Medical UniversityXi'anChina Department of Nuclear Medicine Xijing HospitalFourth Military Medical UniversityXi'anChina department of Clinical Diagnosis Tangdu HospitalFourth Military Medical UniversityXKanChina College of Military Preventive Medicine Fourth Military Medical UniversityXi'anChina Department of Pharmaceutics Tangdu HospitalFourth Military Medical UniversityXi'anChina Department of Pathology Fourth Military Medical UniversityXi'anChina jiangsu Pacific Meinuoke Biopharmaceutical Co.Ltd ChangzhouChina Department of Foreign Languages Fourth Military Medical UniversityXi'anChina

Recent evidence suggests that CD147 serves as a novel receptor for severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)*** CD147 via anti-CD147 antibody could suppress the in vitro SARS-CoV-2 *** is a humanized anti-CD147 IgG_(2) monoclonal antibody,which may effectively prevent SARS-CoV-2 infection in coronavirus disease 2019(COVID-19)***,we conducted a randomized,double-blinded,placebo-controlled phase 1 trial to evaluate the safety,tolerability,and pharmacokinetics of meplazumab in healthy subjects,and an open-labeled,concurrent controlled add-on exploratory phase 2 study to determine the efficacy in COVID-19 *** phase 1 study,59 subjects were enrolled and assigned to eight cohorts,and no serious treatment-emergent adverse event(TEAE)or TEAE grade≥3 was *** serum and peripheral blood Cmax and area under the curve showed non-linear pharmacokinetic *** obvious relation between the incidence or titer of positive anti-drug antibody and dosage was observed in each *** biodistribution study indicated that meplazumab reached lung tissue and maintained>14 days stable with the lung tissue/cardiac blood-pool ratio ranging from 0.41 to *** the exploratory phase 2 study,17 COVID-19 patients were enrolled,and 11 hospitalized patients were involved as concurrent *** meplazumab treatment significantly improved the discharged(P=0.005)and case severity(P=0.021),and reduced the time to virus negative(P=0.045)in comparison to the control *** results show a sound safety and tolerance of meplazumab in healthy volunteers and suggest that meplazumab could accelerate the recovery of patients from COVID-19 pneumonia with a favorable safety profile.

关键词： patients dosage phase

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猪粪与玉米秸秆混合中温发酵产气效果

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环境工程学报 2014年第11期8卷 4991-4997页

作者：张彬蒋滔高立洪韦秀丽刘科杨小玲西华大学能源与环境学院成都610039 重庆市农业科学院重庆401329

以猪粪及碱液预处理后的玉米秸秆为原料,在恒温35℃和料液总固体质量分数为5%的条件下,以实验室内培养的不产气厌氧活性污泥为接种物,研究猪粪与玉米秸秆不同配比(干物质比分别为1∶3、1∶2、1∶1、2∶1、3∶1和0∶1(单一猪粪))混合发... 详细信息

以猪粪及碱液预处理后的玉米秸秆为原料,在恒温35℃和料液总固体质量分数为5%的条件下,以实验室内培养的不产气厌氧活性污泥为接种物,研究猪粪与玉米秸秆不同配比(干物质比分别为1∶3、1∶2、1∶1、2∶1、3∶1和0∶1(单一猪粪))混合发酵对产气效果的影响。研究结果表明,在35℃条件下,猪粪与玉米秸秆以2∶1配比的累积产气量最大,为15 157 mL;其次是1∶1样品,累积产气量为15 088 mL。但甲烷产量最高为1∶1样品,56 d共产甲烷9 137 mL,甲烷气占总产气量的60.6%。通过对发酵过程中pH及COD的测定,证明经碱液预处理后的玉米秸秆能与猪粪混合稳定发酵,发酵前后厌氧消化液中COD的降解率可达50%以上。进一步研究分析得出,将玉米秸秆和猪粪按一定比例混合发酵不仅可以缩短发酵周期、提高产气速率,而且可以大幅提升原料的产气潜力。

关键词：猪粪玉米秆厌氧发酵沼气

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Experimental study on departure time choice behavior in morning commute problem and its modeling

Experimental study on departure time choice behavior in morn...

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第九届全国流体力学学术会议

作者： Xiao-Yan Sun Xiao Han Jian-zhang Bao Rui jiang bin Jia Xiao-Yong Yan Bo-Yu zhang Wen-xu Wang Zi-You gao School of Systems Science Beijing Normal University MOE key Laboratory for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University School of Mathematical Sciences Beijing Normal University

A fundamental problem in the study of traffic systems is to understand various user choice behaviors and their underlying mechanisms that account for the emergence of complex traffic *** much effort devoted to theoretically exploring departure time choice behavior,relatively large scale and systematic experimental tests of theoretical predictions are still *** this paper,we aim to offer a more comprehensive understanding of departure time choice behavior in terms of a series of laboratory experiments under different traffic conditions and feedback information to *** the experiment,users make choices from a few of discrete departure times and the number of recruited players are much larger than that of choices to better mimic the real scenario that a large number of commuters will depart simultaneously in a relative small time *** numbers of rounds are conducted to ensure the convergence of the collective *** results demonstrate that mean payoffs and mean number of subjects at each departure time are close to that in user equilibrium state,regardless of different scale and traffic ***,the amount of feedback information has negligible influence on the collective behavior but has relatively stronger effect of individual choice behavior,as confirmed by correlation analysis and Yule coefficient *** fluctuation in individual choice persists until the end in spite of the achievement of aggregated user *** models in virtue of reinforcement learning and Fermi learning are built to reproduce experimental results and uncover the underlying *** aggregate behavior of players in simulation results of using both models is in good agreement with experimental results.

关键词： Laboratory experiment Morning commute problem Departure time choice Reinforcement learning model Fermi learning model

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结合历史运动状态的机器人高效沿墙算法研究

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自动化学报 2020年第6期46卷 1166-1177页

作者：蒋林张燕飞朱建阳雷斌王翰高旭敏武汉科技大学冶金装备及其控制教育部重点实验室武汉430081 武汉科技大学机器人与智能系统研究院武汉430081

针对目前室内移动机器人沿墙走算法过于复杂、路径易重复、不能完全遍历、效率低等问题,采用室内未知环境下结合历史状态的机器人沿墙高效遍历研究来解决这些问题.该算法由移动机器人的上一个周期历史环境运动状态(分8类)、当前环境运... 详细信息

针对目前室内移动机器人沿墙走算法过于复杂、路径易重复、不能完全遍历、效率低等问题,采用室内未知环境下结合历史状态的机器人沿墙高效遍历研究来解决这些问题.该算法由移动机器人的上一个周期历史环境运动状态(分8类)、当前环境运动状态(分8类)和旋向信息(分2类)建立运动规则库,沿墙行走时移动机器人时时采集这三类信息(上一个周期历史环境运动状态、当前环境运动状态和旋向信息)决定移动机器人当前的运动方向,如此循环直到完成指定的沿墙任务.最后对该算法进行了仿真与实际实验,实验结果证明该算法可以在不同的、复杂的环境中高效、快速地完成沿墙走的任务,并且对室内未知环境有很好的适应性.

关键词：历史环境运动状态当前环境运动状态旋向信息移动机器人沿墙

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Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite

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Science China(Physics,Mechanics & Astronomy) 2020年第4期63卷 2-19页

作者： 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 key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China Department of Astronomy Tsinghua UniversityBeijing 100084China Department of Physics Tsinghua UniversityBeijing 100084China Department of Astronomy Beijing Normal UniversityBeijing 100088China Department of Engineering Physics Tsinghua UniversityBeijing 100084China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China National Space Science Center Chinese Academy of SciencesBeijing 100190China

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 *** 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.

关键词： X-and γ-ray telescopes and instrumentation neutron stars black holes X-ray binaries γ-ray bursts

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