检索结果-南通市图书馆

Research in Astronomy and Astrophysics 2024年第10期24卷 11-24页

作者： Xiao-Yun Zhao Shao-Lin Xiong Xiang-Yang Wen Xin-Qiao Li Ce Cai Shuo Xiao Qi Luo Wen-Xi Peng Dong-Ya guo Zheng-Hua An Ke Gong Jin-Yuan Liao Yan-qiu Zhang Yue Huang Lu Li Xing Wen Fei Zhang Jing Duan Chen-Wei Wang Dong-Li Shi Peng Zhang Qi-bin Yi Chao-Yang Li Yan-bing Xu Xiao-Hua Liang Ya-Qing Liu Da-Li Zhang Xi-Lei Sun Fan Zhang Gang Chen Huan-Yu Wang Sheng Yang Xiao-Jing Liu Min Gao Mao-Shun Li Jin-Zhou Wang Xing Zhou Yi Zhao Wang-Chen Xue Chao Zheng Jia-Cong Liu Xing-Bo Han Jin-Ling Qi Jia Huang Ke-Ke Zhang Can Chen Xiong-Tao Yang Dong-Jie Hou Yu-Sa Wang Rui Qiao Xiang Ma Xiao-Bo Li Ping Wang Xin-Ying Song Li-Ming Song Shi-Jie Zheng bing Li Hong-Mei Zhang Yue Zhu Wei Chen Jian-Jian He Zhen Zhang Jin Hou Hong-Jun Wang Yan-Chao Hao Xiang-Yu Wang Zong-Yuan Yang Zhi-Long Wen Zhi chang Yuan-Yuan Du Rui Gao Xiao-Fei Lan Yan-guo Li Gang Li Xu-Fang Li Fang-Jun Lu Hong Lu bin Meng Feng Shi Hui Wang Hui-Zhen Wang Yu-Peng Xu Jia-Wei Yang Xue-Juan Yang Shuang-nan Zhang Chao-Yue Zhang Cheng-Mo Zhang Zhi-Cheng Tang Cheng Cheng Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China school of information Science and technology Southwest Jiaotong UniversityChengdu 611756China Key Laboratory of Stellar and Interstellar Physics and Department of Physics Xiangtan UniversityXiangtan 411105China Physics and Space Science College China West Normal UniversityNanchong 637002China Department of Astronomy Beijing Normal UniversityBeijing 100875China Innovation Academy for Microsatellites of CAS Shanghai 201203China changchun University of Science and technology Changchun 130022China Chinese Academy of Sciences South America Center for Astronomy National Astronomical ObservatoriesCASBeijing 100101China

Realtime trigger and localization of bursts are the key functions of GECAM,an all-sky gamma-ray monitor launched on 2020 December *** developed a multifunctional trigger and localization software operating in the CPU of the GECAM Electronic *** onboard software has the following features:high trigger efficiency for real celestial bursts with a suppression of false triggers caused by charged particle bursts and background fluctuation,dedicated localization algorithm optimized for both short and long bursts,and low time latency of the trigger information which is downlinked through the Global Short Message Communication service of the global BeiDou navigation *** paper provides a detailed description of the design and development of the trigger and localization software system for *** covers the general design,workflow,the main functions,and the algorithms used in the *** paper also includes on-ground trigger tests using simulated gamma-ray bursts generated by a dedicated X-ray tube,as well as an overview of the performance for real celestial bursts during its in-orbit operation.

关键词： telescopes instrumentation:detectors methods:observational

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边限检验理论及几点讨论

统计与信息论坛 2008年第7期23卷 14-19,28页

作者：靳军会邱长溶西安交通大学经济与金融学院陕西西安710061

检验经济变量之间长期关系的协整技术要求变量是同阶单整的,这不可避免地涉及一定程度的预检验问题,而预检验问题会增加变量间长期关系分析的不确定性。当不能确定变量的单整类型时,边限检验理论提出了一个可以直接检验一个变量和一组... 详细信息

检验经济变量之间长期关系的协整技术要求变量是同阶单整的,这不可避免地涉及一定程度的预检验问题,而预检验问题会增加变量间长期关系分析的不确定性。当不能确定变量的单整类型时,边限检验理论提出了一个可以直接检验一个变量和一组解释变量之间长期关系的新方法。在介绍了边限检验方法中基本的VAR模型和假设及边限检验方法中用到的重要统计量——Wald统计量和T统计量及它们各自的渐近分布形式后,说明了边限检验理论在理论和实际运用当中需要注意的几个问题,最后通过实例分析说明了边限检验理论的运用。

关键词：边限检验长期关系渐进分布

Co‑packaged optics(CPO):status,challenges,and solutions

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Frontiers of Optoelectronics 2023年第1期16卷 1-40页

作者： Min Tan Jiang Xu Siyang Liu Junbo Feng Hua Zhang Chaonan Yao Shixi Chen Hangyu guo Gengshi Han Zhanhao Wen Bao Chen Yu He Xuqiang Zheng Da Ming Yaowen Tu Qiang Fu nan Qi Dan Li Li Geng Song Wen Fenghe Yang Huimin He Fengman Liu Haiyun Xue Yuhang Wang Ciyuan {3. Guangcan Mi Yanbo Li Tianhai chang Mingche Lai Luo Zhang Qinfen Hao Mengyuan Qin school of Optical and Electronic information Huazhong University of Science and TechnologyWuhan 430074China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyHong KongChina HKUST Fok Ying Tung Research Institute Guangzhou 511462China The Hong Kong University of Science and technology(Guangzhou) Guangzhou 511462China Chongqing United Micro-Electronics Center(CUMEC) Chongqing 401332China Hisense Broadband Multimedia Technologies Co. Ltd.Qingdao 266000China Institute of Microelectronics Chinese Academy of SciencesBeijing 100029China State Key Laboratory of Superlattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China school of Microelectronics Xi’an Jiaotong UniversityXi’an 710049China Zhangjiang Laboratory Shanghai 201210China The State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China Huawei Technologies Co. Ltd.Shenzhen 440307China College of Computer National University of Defense TechnologyChangsha 410073China Institute of Computing technology Chinese Academy of SciencesBeijing 100086China

Due to the rise of 5G,IoT,AI,and high-performance computing applications,datacenter trafc has grown at a compound annual growth rate of nearly 3.%.Furthermore,nearly three-fourths of the datacenter trafc resides within *** conventional pluggable optics increases at a much slower rate than that of datacenter *** gap between application requirements and the capability of conventional pluggable optics keeps increasing,a trend that is *** optics(CPO)is a disruptive approach to increasing the interconnecting bandwidth density and energy efciency by dramatically shortening the electrical link length through advanced packaging and co-optimization of electronics and *** is widely regarded as a promising solution for future datacenter interconnections,and silicon platform is the most promising platform for large-scale *** international companies(e.g.,Intel,Broadcom and IBM)have heavily investigated in CPO technology,an inter-disciplinary research feld that involves photonic devices,integrated circuits design,packaging,photonic device modeling,electronic-photonic co-simulation,applications,and *** review aims to provide the readers a comprehensive overview of the state-of-the-art progress of CPO in silicon platform,identify the key challenges,and point out the potential solutions,hoping to encourage collaboration between diferent research felds to accelerate the development of CPO technology.

关键词： Co-packaged optics Silicon photonics High-performance computing Advanced packaging External laser Optical power delivery Co-simulation Standardization Transmitter Receiver

联合使用血尿素氮和sPESI评估急性重症肺栓塞病人的3.天死亡风险

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中山大学学报（医学科学版） 2022年第1期43卷 96-106页

作者：丘雪梅尤国昌沈润楠朱东熙黄文熙黄楷中山大学孙逸仙纪念医院骨科广东广州510120 中山大学中山医学院广东广州510080 中山大学孙逸仙纪念医院心血管外科广东广州510120

【目的】探究血尿素氮(BUN)是否有助于增强简化版肺栓塞严重指数(sPESI)的危险分层能力。【方法】本回顾性研究纳入了在MIMICⅢ数据库中被诊断为急性重症肺栓塞的患者,并将他们在3. d内的死亡率作为此次研究的主要结局。根据ROC曲线的最... 详细信息

【目的】探究血尿素氮(BUN)是否有助于增强简化版肺栓塞严重指数(sPESI)的危险分层能力。【方法】本回顾性研究纳入了在MIMICⅢ数据库中被诊断为急性重症肺栓塞的患者,并将他们在3. d内的死亡率作为此次研究的主要结局。根据ROC曲线的最大Youden指数计算BUN和sPESI的最佳截断值;使用Kaplan-Meier曲线评价BUN、sPESI及其组合在总队列和亚组中的危险分层能力。【结果】本研究共纳入了250名急性重症肺栓塞患者。BUN和sPESI均为3. d死亡率的独立预测指标。BUN的最佳截断值为21.5 mg/dL,sPESI的最佳截断值为2.5。在BUN≥21.5mg/dL和sPESI≥3.高风险组别中,患者3. d的死亡率为41.3.%,明显高于sPESI≥1的组别(死亡率为14.28%)。在BUN≤21.5mg/dL和sPESI≤2的低风险组别中,死亡率为4.07%,和sPESI=0定义的低危组相近(死亡率为3.85%)。【结论】联合使用BUN和sPESI可以筛选出病情更为严重的急性重症肺栓塞患者,有助于临床治疗方案的确定。

关键词：血尿素氮(BUN) 简化版肺栓塞严重指数(sPESI) 急性肺栓塞重症监护室预后

维普期刊数据库博看期刊

中日SCI论文学科交叉合作网络特征的对比分析

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情报科学 2018年第8期36卷 34-38页

作者：孟婧邱长波吉林大学管理学院吉林长春130022

【目的/意义】比较中日两国SCI论文中学科交叉合作网络的点度中心度和位置简化图的差异,为我国学科交叉合作的科技政策提供参考依据。【方法/过程】以2015年Web of Science数据库中SCI收录的中日具有学科交叉合作性的论文为研究对象,利... 详细信息

【目的/意义】比较中日两国SCI论文中学科交叉合作网络的点度中心度和位置简化图的差异,为我国学科交叉合作的科技政策提供参考依据。【方法/过程】以2015年Web of Science数据库中SCI收录的中日具有学科交叉合作性的论文为研究对象,利用社会网络分析法,对中日学科交叉合作网络的特征进行对比分析。【结果/结论】我国学科交叉合作网络中影响力较高的是工程科学、材料科学、化学和物理学;位置简化图连线较少、关系简单,经济与商学和精神病学/心理学处于孤立位置。日本影响力较高的学科是工程科学、材料科学、化学、物理学、临床医学和生物学与生物化学;位置简化图连线较多、关系复杂,没有孤立位置。我国应该提高临床医学、生物学与生物化学的影响力,加强理学、工学、生命科学和医学学科之间的交叉合作。

关键词：学科交叉合作 SCI 中日比较关联矩阵社会网络分析

基于Logistic-Fisher的老龄陪伴机器人外观形态评价方法

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包装工程 2022年第2期43卷 82-89页

作者：王秋惠张倩男天津工业大学机械工程学院天津300387 天津工业大学经济与管理学院天津300387

目的提出一种基于眼动追踪的老龄陪伴机器人的外观形态评价方法。方法首先借助眼动实验,获得老年人观看陪伴机器人时的眼动特征,提取眼动指标、心率指标与被试变量,利用SPSS23.0软件平台对变量信息进行描述统计和二元Logistic回归分析;... 详细信息

目的提出一种基于眼动追踪的老龄陪伴机器人的外观形态评价方法。方法首先借助眼动实验,获得老年人观看陪伴机器人时的眼动特征,提取眼动指标、心率指标与被试变量,利用SPSS23.0软件平台对变量信息进行描述统计和二元Logistic回归分析;其次根据老年人的生理和心理的特殊性将老龄陪伴机器人的外观形态评价定义为二分类问题,以影响显著性最强的几个因子作为判别因子建立Fisher判别函数模型,并进行实验验证。结果性别、年龄、文化程度、心率指标均对陪伴机器人外观关注度无显著影响;总注视时间对其产生显著负向影响,平均注视时间、注视次数产生显著正向影响,判别模型预测样本与实际样本相比准确度为91.0%。结论 Logistic-Fisher方法准确度较高,为构建老龄陪伴机器人的外观形态设计评价体系提供了一种可行的技术途径。

关键词：老龄陪伴机器人外观评价眼动跟踪二元Logistic回归 Fisher判别模型

CEPC Technical Design Report

同方期刊数据库博看期刊评论

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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 3. 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 3. MW per beam,it can achieve a luminosity of 5×10^(3.)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-203.s.

关键词： initiated exceeding precise

OKC中社会系统与知识系统不同层面交互序化影响--基于VAR模型的实证分析

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情报学报 2021年第5期40卷 435-447页

作者：裘江南蔡承杰杨畅李岩大连理工大学经济管理学院大连116024

随着Web 2.0的在线知识社区(Online Knowledge Community,OKC)中的用户不断进行知识的个体建构和社会建构,在社区中形成了社会系统和知识系统,而这两个系统不同层面间如何进行交互序化,目前学术界还未进行这方面的系统探索。基于自组织... 详细信息

随着Web 2.0的在线知识社区(Online Knowledge Community,OKC)中的用户不断进行知识的个体建构和社会建构,在社区中形成了社会系统和知识系统,而这两个系统不同层面间如何进行交互序化,目前学术界还未进行这方面的系统探索。基于自组织与复杂适应系统理论,从两个系统的微观层面出发,本文构建了OKC中社会系统与知识系统不同层面交互序化的假设。选取OKC的典型代表Wikipedia中词条数据作为研究样本,使用向量自回归(vector autoregression,VAR)模型对社会系统与知识系统的不同层面交互序化的假设进行了检验。研究结果表明,社会系统的微观层面对知识系统的中观层面和宏观层面存在显著的交互影响,知识系统的微观层面对社会系统的宏观层面存在显著影响。本文拓展了OKC系统序化的现有研究,为OKC平台建设和管理提供了实践启示。

关键词：在线知识社区交互序化社会系统知识系统 VAR

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科技期刊传播力评价要素探讨

中国科技期刊研究 2020年第8期31卷 923-928页

作者：吕志军朱楠曲凡刘冰常冬雨大连理工大学经济管理学院辽宁省大连市116024

【目的】基于面向读者的调研数据分析,识别科技期刊传播力评价要素,为科技期刊出版单位提升科技期刊传播力提供借鉴和参考。【方法】采用文献调研法总结科技期刊传播力的概念和相关评价指标,并将相关评价指标转化成问卷调查题目,通过读... 详细信息

【目的】基于面向读者的调研数据分析,识别科技期刊传播力评价要素,为科技期刊出版单位提升科技期刊传播力提供借鉴和参考。【方法】采用文献调研法总结科技期刊传播力的概念和相关评价指标,并将相关评价指标转化成问卷调查题目,通过读者问卷调查识别科技期刊传播力评价要素。【结果】通过SPSS和Mplus软件统计发现,读者关注的科技期刊传播力可归纳为传播效果、传播能力和传播资源3.评价要素,且这3.要素之间有相关性。【结论】科技期刊传播力评价要素从期刊学术影响力、期刊知识传播能力和论文信息3.方面被读者感知并反映出来,建议科技期刊从传播资源入手提升传播力。

关键词：读者调查科技期刊传播力评价要素传播资源