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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

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

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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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基于混合特征卷积神经网络的血压建模方法研究

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生物医学工程研究 2018年第4期37卷 440-446页

作者：张佳骕顾林跃姜少燕浙江好络维医疗技术有限公司浙江杭州310012 青岛大学附属心血管病医院山东青岛266071

传统使用脉搏波测量血压的方法存在准确率较低和特征点难以提取的问题。针对这些问题,本研究首先提出脉搏波分解算法,将脉搏波分解为三个钟型波复合的形式,由此获取到准确的脉搏波传播时间;之后提出混合特征卷积神经网络模型ABP-net,该... 详细信息

传统使用脉搏波测量血压的方法存在准确率较低和特征点难以提取的问题。针对这些问题,本研究首先提出脉搏波分解算法,将脉搏波分解为三个钟型波复合的形式,由此获取到准确的脉搏波传播时间;之后提出混合特征卷积神经网络模型ABP-net,该模型将脉搏波传播时间特征和使用一维卷积自动提取的脉搏波波形特征相结合对动脉血压进行预测。最后使用ABP-net对MIMIC Ⅲ中15个患者的血压进行预测。实验结果表明,ABP-net能够有效地提取脉搏波波形特征而且对血压的预测精度更高。

关键词：混合特征脉搏波传播时间一维卷积神经网络波形特征提取脉搏波分解

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基于卷积递归神经网络的血压测量模型

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北京生物医学工程 2018年第5期37卷 494-501页

作者：张佳骕顾林跃姜少燕浙江好络维医疗技术有限公司杭州310012 青岛大学医学院附属心血管病医院山东青岛266071

目的提出一种新型卷积递归神经网络血压模型(convolutional recurrent neural networkblood pressure,CRNN-BP),解决使用脉搏波波形进行血压测量模型中存在的特征点难以提取和鲁棒性较低的问题,提高血压模型普适性和精度。方法该模型首... 详细信息

目的提出一种新型卷积递归神经网络血压模型(convolutional recurrent neural networkblood pressure,CRNN-BP),解决使用脉搏波波形进行血压测量模型中存在的特征点难以提取和鲁棒性较低的问题,提高血压模型普适性和精度。方法该模型首先使用卷积网络层自动提取脉搏波的波形特征;其次使用递归网络层依据连续心动周期血压变化关系对波形特征进行校正;最后使用全连接网络层预测出当前的血压值。结果使用MIMIC数据集中人体真实生理信息对模型进行验证,收缩压和舒张压的平均绝对误差分别为2.71 mm Hg和1.41 mm Hg。模型精度相比于未使用递归网络层的模型CNN-BP和使用全部脉搏波波形点的传统血压回归模型更有优势,且符合AAMI和BHS标准。结论 CRNN-BP有效地提取了脉搏波的波形特征,并提升了模型的精度和鲁棒性。

关键词：血压测量脉搏波卷积神经网络波形特征提取递归神经网络

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Corrigendum to“Nanoenzyme engineered neutrophil-derived exosomes attenuate joint injury in advanced rheumatoid arthritis via regulating inflammatory environment”[***.18C(2022)1-14]

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Bioactive Materials 2023年第1期19卷 486-486页

作者： Lei zhang Zhiguo Qin Han Sun Xiang Chen Jian Dong Siyu Shen liming Zheng Ning gu Qing Jiang State Key Laboratory of Pharmaceutical Biotechnology Division of Sports Medicine and Adult Reconstructive SurgeryDepartment of Orthopedic SurgeryNanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical School321 Zhongshan RoadNanjing210008JiangsuPR China Branch of National Clinical Research Center for Orthopedics Sports Medicine and RehabilitationPR China State Key Laboratory of Bioelectronics Jiangsu Key Laboratory for Biomaterials and DevicesSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjing210096PR China

[This corrects the article DOI: 10.1016/***.2022.02.017.].

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PAT系列喷气织机引纬工艺设定及故障分析

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棉纺织技术 2011年第9期39卷 59-61页

作者：顾黎明荣德智张海潮陕西五环(集团)股份有限公司

总结PAT型喷气织机引纬系统的工艺设定及常见故障的解决措施。通过分析PAT型喷气织机引纬系统的结构和特点,认为:引纬开始时间一般设定在70°～90°;主喷气压一般应低于辅喷气压0.05 MPa～0.1 MPa;左侧剪纱时间的设定,PAT-NU型织机一般... 详细信息

总结PAT型喷气织机引纬系统的工艺设定及常见故障的解决措施。通过分析PAT型喷气织机引纬系统的结构和特点,认为:引纬开始时间一般设定在70°～90°;主喷气压一般应低于辅喷气压0.05 MPa～0.1 MPa;左侧剪纱时间的设定,PAT-NU型织机一般在12°～18°,PAT-A型织机一般在8°～12°;合理设定探纬时间等工艺参数,同时做好引纬系统的维护和检查工作,能有效减少纬缩、断纬等疵点,提高产品质量,保证织机效率。

关键词：喷气织机引纬系统引纬时间主喷嘴纬缩织机效率

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基于集合和神经网络架构搜索的自动历史拟合方法

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中国石油大学学报（自然科学版） 2022年第2期46卷 127-136页

作者：张黎明陈昕晟李国欣马小鹏张凯谷建伟姚军王健孙海中国石油大学(华东)石油工程学院山东青岛266580 中石油勘探与生产分公司北京100007 中国石油大学(华东)理学院山东青岛266580

由于人工经验选取的局限性,难以获取决定模型重构精度的最优网络参数是目前使用深度学习方法在自动历史拟合中对油藏地质模型进行降维时的难点之一。针对此问题,通过将深度自编码器与粒子群优化算法相互结合实现最佳网络架构的自动搜索... 详细信息

由于人工经验选取的局限性,难以获取决定模型重构精度的最优网络参数是目前使用深度学习方法在自动历史拟合中对油藏地质模型进行降维时的难点之一。针对此问题,通过将深度自编码器与粒子群优化算法相互结合实现最佳网络架构的自动搜索,并以此构建一种基于集合数据同化和神经网络架构自动搜索的油藏自动历史拟合方法。分别对一个二维河流相油藏渗透率场分布模型以及SPE-10单层油藏数值模型应用该方法,并与单一的自动历史拟合方法进行对比验证。结果表明,经优化后自动搜索出最优神经网络构架的自动历史拟合方法要比优化前及单一的自动历史拟合方法能够更准确地提取出油藏数值模型的地质特征。

关键词：自动历史拟合深度学习复杂地质特征深度自编码网络架构搜索数据同化

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The Medium Energy X-ray telescope (ME) onboard the Insight-HXMT astronomy satellite

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Science China(Physics,Mechanics & Astronomy) 2020年第4期63卷 35-48页

作者： 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 Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Department of Engineering Physics Tsinghua UniversityBeijing 100084China Beijing Key Laboratory of Space Thermal Control Technology Beijing Institute of Spacecraft System EngineeringBeijing 100094China Department of Modern Physics School of Physical SciencesUniversity of Science and Technology of ChinaHefei 230022China School of Physical Sciences Guizhou UniversityGuivang 550025China School of Opto-Electronic Information Science and Technology Yantai UniversityYantai 264005China University of Chinese Academy of Sciences Beijing 100049China

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 *** 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.

关键词： Si-PIN ASIC medium energy X-ray

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基于3DMAX技术的机械形体装配与运行的仿真

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科技广场 2009年第7期 121-122页

作者：谷骁勇张黎明河南城建学院河南平顶山467044

虚拟制造是近几年来出现的先进的制造技术,基于3D Studio MAX三维动画设计软件,使机械零部件仿真制作及零部件装配与机器运转动画制作更加方便快捷。本文介绍了实体制作、场景制作、动画制作与影片制作,形象、生动地展示机器设备的逼真... 详细信息

虚拟制造是近几年来出现的先进的制造技术,基于3D Studio MAX三维动画设计软件,使机械零部件仿真制作及零部件装配与机器运转动画制作更加方便快捷。本文介绍了实体制作、场景制作、动画制作与影片制作,形象、生动地展示机器设备的逼真面貌。

关键词： 3D MAX 零部件动画装配

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