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Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

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Biomedical and Environmental sciences 2020年第12期33卷 893-905页

作者： MA Yan ZHU Dong Shan chen Ren Bo SHI Nan Nan LIU Si Hong FAN Yi Pin WU Gui Hui YANG Pu Ye BAI Jiang Feng chen Hong chen Li Ying FENG Qiao guo Tuan Mao HOU Yong HU Gui Fen HU Xiao Mei HU yun Hong HUANG Jin HUANG Qiu Hua HUANG Shao Zhen JI liang JIN Hai Hao LEI Xiao LI Chun Yan LI Min Qing LI Qun Tang LI Xian Yong LIU Hong De LIU Jin Ping LIU Zhang MA yu Ting MAO Ya MO Liu Fen NA Hui wang Jing wei SONG Fang Li SUN Sheng wang Dong Ting wang Ming Xuan wang Xiao Yan wang Yin Zhen wang yu Dong WU wei WU Lan Ping XIAO Yan Hua xie Hai Jun XU Hong Ming XU Shou Fang XUE Rui Xia YANG Chun YANG Kai Jun yuAN Sheng Li ZHANG Gong Qi ZHANG Jin Bo ZHANG Lin Song ZHAO Shu Sen ZHAO Wan Ying ZHENG Kai ZHOU Ying Chun ZHU Jun Teng ZHU Tian Qing ZHANG Hua Min wang Yan Ping wang Yong Yan 无 Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for Health Management and Policy Research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina President's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific Research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

Measurement of the neutron total cross section of carbon at the Back-n white neutron beam of CSNS

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Nuclear science and Techniques 2019年第9期30卷 73-82页

作者： Xing-Yan Liu Yi-wei Yang Rong Liu Jie Wen Zhong-wei Wen Zi-Jie Han zhi-Zhou Ren Qi An Huai-Yong Bai Jie Bao Ping Cao Qi-Ping chen Yong-Hao chen Pin-Jing cheng Zeng-Qi Cui Rui-Rui Fan Chang-Qing Feng Min-Hao Gu Feng-Qin guo Chang-Cai Han guo-Zhu He Yong-cheng He yue-Feng He Han-Xiong Huang wei-Ling Huang Xi-Ru Huang Xiao-Lu Ji Xu-Yang Ji Hao-yu Jiang wei Jiang Han-Tao Jing Ling Kang Ming-Tao Kang Bo Li lun Li Qiang Li Xiao Li Yang Li Yang Li Shu-Bin Liu Guang-yuan Luan Ying-Lin Ma Chang-Jun Ning Bin-Bin Qi Jie Ren Xi-Chao Ruan Zhao-Hui Song Hong Sun Xiao-Yang Sun zhi-Jia Sun zhi-Xin Tan Hong-Qing Tang Jing-yu Tang Peng-cheng wang Qi wang Tao-Feng wang Yan-Feng wang Zhao-Hui wang Zheng wang Qing-Biao Wu Xiao-Guang Wu Xuan Wu Li-Kun xie Han Yi Li yu Tao yu Yong-Ji yu guo-Hui Zhang Jing Zhang Lin-Hao Zhang Li-Ying Zhang Qing-Min Zhang Qi-wei Zhang Xian-Peng Zhang yu-liang Zhang zhi-Yong Zhang Ying-Tan Zhao liang Zhou Zu-Ying Zhou Dan-Yang Zhu Ke-Jun Zhu Peng Zhu Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics State Key Laboratory of Particle Detection and Electronics Chinese Academy of Sciences(CAS) Department of Modern Physics University of Science and Technology of China State Key Laboratory of Nuclear Physics and technology School of PhysicsPeking University Key Laboratory of Nuclear Data China Institute of Atomic Energy Institute of High Energy Physics Chinese Academy of Sciences(CAS) Spallation Neutron Source science Center university of South China Northwest Institute of Nuclear technology Department of engineering and Applied Physics University of Science and Technology of China Beihang university Xi’an Jiaotong university

To verify the performance of the neutron total cross-sectional spectrometer, the neutron total cross section of carbon is initially measured in the energy range of 1 eV to 20 MeV using the time-of-flight method. The measurement is performed at the Back-n white neutron source with a 76-m time-of-flight path using the China Spallation Neutron Source. A multilayer fast fission chamber with 235U and 238U is employed as the neutron detector. The diameter and thickness of the natural graphite sample are 70 mm and 40 mm, respectively. Signal waveforms are collected using a data acquisition system. Off-line data processing was used to obtain the neutron time-of-flight spectra and transmissions. The uncertainty of the counting statistics is generally approximately 3% for each bin in the energy range of 1–20 MeV. It is determined that the results for the neutron total cross section of carbon obtained using ^235U cells are in good agreement with the results obtained using 238U cells within limits of statistical uncertainty. Moreover, the measured total cross sections show good agreement with the broadening evaluated data.

关键词： CSNS Back-n white neutron source NTOX Neutron total cross section Carbon Multilayer fast fission chamber

The C_(6)D_(6)detector system on the Back-n beam line of CSNS

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Radiation Detection technology and Methods 2019年第3期3卷 274-282页

作者： Jie Ren Xichao Ruan Jie Bao Guangyuan Luan wei Jiang Qi An Huaiyong Bai Ping Cao Qiping chen Yonghao chen Pinjing cheng Zengqi Cui Ruirui Fan Changqing Feng Minhao Gu Fengqin guo Changcai Han Zijie Han guozhu He Yongcheng He yuefeng He Hanxiong Huang weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Haoyu Jiang Hantao Jing Ling Kang Mingtao Kang Bo Li lun Li Qiang Li Xiao Li Yang Li Yang Li Rong Liu Shubin Liu Xingyan Liu Yinglin Ma Changjun Ning Binbin Qi Zhaohui Song Hong Sun Xiaoyang Sun zhijia Sun zhixin Tan Hongqing Tang Jingyu Tang Pengcheng wang Qi wang Taofeng wang Yanfeng wang Zhaohui wang Zheng wang Jie Wen Zhongwei Wen Qingbiao Wu Xiaoguang Wu Xuan Wu Likun xie Yiwei Yang Han Yi Li yu Tao yu Yongji yu guohui Zhang Jing Zhang Linhao Zhang Liying Zhang Qingmin Zhang Qiwei Zhang Xianpeng Zhang yuliang Zhang zhiyong Zhang Yingtan Zhao liang Zhou Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Dongguan Neutron science Center Dongguan 523803China State Key Laboratory of Particle Detection and Electronics HefeiChina Department of Modern Physics University of Science and Technology of ChinaHefei 230026China State Key Laboratory of Nuclear Physics and technology School of PhysicsPeking UniversityBeijing 100871China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China university of South China Hengyang 421001China Northwest Institute of Nuclear technology Xi’an 710024China Department of engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China Xi’an Jiaotong university Xi’an 710049China Beihang university Beijing 100083China

Introduction The neutron capture cross sections are very important in the field of nuclear device design and basic physics ***-free liquid scintillator such as C_(6)D_(6)detectors are widely used in the neutron capture cross-sectional measurements for the low neutron sensitivity and fast time *** Back-n white neutron source at China Spallation Neutron Source is the first spallation white neutron source in China,and it is suitable for neutron capture cross-sectional *** and methods A C_(6)D_(6)detector system was built in the Back-n experimental *** pulse height weighting technique was used to determine the system’s detection *** response to gamma rays of the C_(6)D_(6)detector was measured,and the energy resolution function was *** Carlo simulation with Geant4 code was carried out to get the weighting function of this C_(6)D_(6)detector ***,the systematic uncertainty of the weighting function was also *** According to the experimental and simulation results,this C_(6)D_(6)detector system can be used to measure neutron capture cross section.

关键词： C6D6 detector PHWT Neutron capture cross section White neutron source

Advances in nuclear detection and readout techniques

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Nuclear science and Techniques 2023年第12期34卷 281-358页

作者： Rui He Xiao‑Yang Niu Yi wang Hong‑wei liang Hong‑Bang Liu Ye Tian Hong‑Lin Zhang Chao‑Jie Zou zhi‑Yi Liu yun‑Long Zhang Hai‑Bo Yang Ju Huang Hong‑Kai wang wei‑Jia Han Bei Cao Gang chen Cong Dai Li‑Min Duan Rui‑Rui Fan Fang‑Fa Fu Jian‑Hua guo Dong Han wei Jiang Xian‑Qin Li Xin Li Zhuo‑Dai Li yu‑Tie liang Shun Liao De‑Xu Lin cheng‑Ming Liu guo‑Rui Liu Jun‑Tao Liu Ze Long Meng‑chen Niu Hao Qiu Hu Ran Xiang‑Ming Sun Bo‑Tan wang Jia wang Jin‑Xiang wang Qi‑Lin wang Yong‑Sheng wang Xiao‑Chuan Xia Hao‑Qing xie He‑Run Yang Hong Yin Hong yuan Chun‑Hui Zhang Rui‑Guang Zhao Ran Zheng cheng‑Xin Zhao Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China school of Nuclear science and technology University of Chinese Academy of SciencesBeijing 100049China Advanced Energy science and technology Guangdong Laboratory Huizhou 516000China Key Laboratory of Particle and Radiation Imaging Department of Engineering PhysicsTsinghua UniversityBeijing 100084China school of Integrated Circuits Dalian University of TechnologyDalian 116020China Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and TechnologyGuangxi UniversityNanning 530004China school of Nuclear science and technology Lanzhou UniversityLanzhou 730000China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Electronic engineering school Heilongjiang UniversityHarbin 150080China Spallation Neutron Source science Center Dongguan 523803China Micro‑electronic Department Harbin Institute of TechnologyHarbin 150001China Purple Mountain Observatory Chinese Academy of SciencesNanjing 210034China Liaoning Academy of Materials Shenyang 110167China Istituto Nazionale di Fisica Nucleare Sezione di PerugiaPerugiaItaly school of Mathematics and Physics Chengdu University of TechnologyChengdu 620035China PLAC Key Laboratory of Quark and Lepton Physics(MOE)Central China Normal UniversityWuhan 430079China school of Electronics and information Northwestern Polytechnical UniversityXi’an 710129China State Key Lab of Superhard Materials College of PhysicsJilin UniversityChangchun 130012China school of Computer science Northwestern Polytechnical UniversityXi’an 710129China

“A Craftsman Must Sharpen His Tools to Do His Job,”said *** detection and readout techniques are the foundation of particle physics,nuclear physics,and particle astrophysics to reveal the nature of the ***,they are being increasingly used in other disciplines like nuclear power generation,life sciences,environmental sciences,medical sciences,*** article reviews the short history,recent development,and trend of nuclear detection and readout techniques,covering Semiconductor Detector,Gaseous Detector,Scintillation Detector,Cherenkov Detector,Transition Radiation Detector,and Readout *** explaining the principle and using examples,we hope to help the interested reader underst and this research field and bring exciting information to the community.

关键词： Silicon detector Wide bandgap detector Time projection chamber(TPC) Multigap resistive plate chamber detector(MRPC) Scintillation detector Calorimeters Cherenkov detector Transition radiation detector Artificial intelligence Trigger-less readout

Paired quasi-periodic pulsations of hard X-ray emission in a solar flare

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science China(Physics,Mechanics & Astronomy) 2023年第5期66卷 195-206页

作者： Hai-Sheng Zhao Dong Li Shao-Lin Xiong Yan-Qiu Zhang Yang Su wei chen Yi Zhao Xiao-Bo Li Jia-Cong Liu Wen-Xi Peng Rui Qiao Xin-Qiao Li Xiang-Yang Wen Li-Ming Song Shi-Jie Zheng Xin-Ying Song Xiao-yun Zhao yue Huang Shuang-Nan Zhang Shuo Xiao Ce Cai Zheng-Hua An Can chen Gang chen wei chen Yan-Qi Du Min Gao Ke Gong Dong-Ya guo zhi-wei guo Jian-Jian He Bin Li Chao Li Chao-Yang Li Gang Li Jian-Hui Li Lu Li Qing-Xin Li Yan-guo Li Jing liang Xiao-Hua liang Jin-yuan Liao Xiao-Jing Liu Ya-Qing Liu Qi Luo Xiang Ma Bin Meng Ge Ou Dong-Li Shi Jing-Yan Shi Gong-Xing Sun Xi-Lei Sun You-Li Tuo chen-wei wang Hui wang Jin wang Jin-Zhou wang Ping wang Wen-Shuai wang Hong Wu Sheng-lun xie Yan-Bing Xu yu-Peng Xu wang-chen Xue Sheng Yang Min Yao Jian-Ying Ye Qi-Bin Yi Chao-yue Zhang Da-Li Zhang Fan Zhang Fei Zhang Hong-Mei Zhang Kai Zhang Peng Zhang Xiao-Lu Zhang Zhen Zhang guo-Ying Zhao Shi-Yi Zhao Chao Zheng Xing Zhou yue Zhu Key Laboratory for Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Purple Mountain Observatory Chinese Academy of SciencesNanjing 210023China university of Chinese Academy of sciences Beijing 100049China Department of Astronomy Beijing Normal UniversityBeijing 100875China school of Computing and Artificial Intelligence Southwest Jiaotong UniversityChengdu 611756China Physics and Space science College China West Normal UniversityNanchong 637002China Key Laboratory of Stellar and Interstellar Physics and Department of Physics Xiangtan UniversityXiangtan 411105China Institute of Astrophysics Central China Normal UniversityWuhan 430079China school of Physics Changchun University of Science and TechnologyChangchun 130022China College of Physics and engineering Qufu Normal UniversityQufu 273165China College of Physics sciences&technology Hebei UniversityBaoding 071002China

We investigate high time resolution data obtained by the Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor(GECAM)during the flare event on 2022 April 21 at 01:52 *** subpeaks with durations of 4-6 s have been detected in the hard X-ray precursor phase,and the key feature is that they appear in pairs and seem like double-peak *** subpeaks are rarely observed in hard X-ray band and confirmed by the microwave obtained by Nobeyama Radio Polarimeters(NoRP)and Radio Solar Telescope Network(RSTN).While an exponential function can describe the continuum component of the time profile from the precursor to part of the impulsive *** periods of quasi-periodic pulsations(QPPs)are detected to be about 7.3 and 12.8 s for the precursor and impulsive phase,respectively,with at least 95%confidence *** paired QPPs are assumed to be double-peak QPPs and then the scenario of current loop coalescence model is found to be in good agreement with our *** precursor phase can be interpreted as the oscillating coalescence of two islands,while the impulsive phase can be interpreted as more islands to coalesce one by one to form larger islands.

关键词： solar flare QPPs loop coalescence circular-ribbon flare

Power Planning Algorithm Considering the Operating Strategy of a Power Sales Company under the Background of New Electricity Reform

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Power Planning Algorithm Considering the Operating Strategy ...

Measurement of the differential cross sections and angle-integrated cross sections of the ~6Li(n,t)~4 He reaction from 1.0 eV to 3.0 MeV at the CSNS Back-n white neutron source

作者： wei ZHOU Xiao-hu ZHANG Xuan yu Li-jun wang Jiu GU Da xie State Grid Corporation East China Branch China Power engineering Consulting Group East China Electric Power Design Institute Co. Ltd school of Electronic information and Electrical engineering Shanghai Jiao Tong University

With the introduction of the open electricity sales side in the new power reform,more and more power sales companies have joined the competition on the power sales side,and various power sales companies have been defined as different names due to different resources *** view of the problem of power supply planning under the background of new power system reform,this paper firstly models the operation of different types of power sales companies,and designs the power planning algorithm considering the impact of the sales company,and then analyzes its operation for load forecasting and power *** impact is finally calculated by simulation to calculate the amount of peak reduction in load forecasting and power planning capacity.

关键词： Power planning Energy service providers Load aggregators Power sales companies Load forecasting

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Chinese Physics C 2020年第1期44卷 58-85页

作者： Huaiyong Bai Ruirui Fan Haoyu Jiang Zengqi Cui Yiwei Hu guohui Zhang Zhenpeng chen wei Jiang Han Yi Jingyu Tang liang Zhou Qi An Jie Bao Ping Cao Qiping chen Yonghao chen Pinjing cheng Changqing Feng Minhao Gu Fengqin guo Changcai Han Zijie Han guozhu He Yongcheng He yuefeng He Hanxiong Huang weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Hantao Jing Ling Kang Mingtao Kang Bo Li lun Li Qiang Li Xiao Li Yang Li Yang Li Rong Liu Shubin Liu Xingyan Liu Guangyuan Luan Yinglin Ma Changjun Ning Binbin Qi Jie Ren Xichao Ruan Zhaohui Song Hong Sun Xiaoyang Sun zhijia Sun zhixin Tan Hongqing Tang Pengcheng wang Qi wang Taofeng wang Yanfeng wang Zhaohui wang Zheng wang Jie Wen Zhongwei Wen Qingbiao Wu Xiaoguang Wu Xuan Wu Likun xie Yiwei Yang Li yu Tao yu Yongji yu Jing Zhang Linhao Zhang Liying Zhang Qingmin Zhang Qiwei Zhang Xianpeng Zhang yuliang Zhang zhiyong Zhang Yingtan Zhao Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu State Key Laboratory of Nuclear Physics and technology Institute of Heavy Ion PhysicsSchool of PhysicsPeking UniversityBeijing 100871China Sate Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Dongguan Neutron science Center Dongguan 523803China Physics Department Tsinghua UniversityBeijing 100084China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China university of South China Hengyang 421001China Northwest Institute of Nuclear technology Xi’an 710024China Department of engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China Beihang university Beijing 100083China Xi’an Jiaotong university Xi’an 710049China

The^6 Li(n,t)~4 He reaction was measured as the first experiment involving neutron-induced charged particle emission reactions at the CSNS(China Spallation Neutron Source)Back-n white neutron *** differential cross-sections of the^6 Li(n,t)~4 He reaction at 15 detection angles ranging from 19.2°to 160.8°are obtained from 1.0 eV to 3.0 MeV at 80 neutron energy points;for 50 energy points below 0.1 MeV they are reported for the first *** results indicate that the anisotropy of the emitted tritium is noticeable above E_n=100 *** angle-integrated cross-sections are also *** present differential cross-sections agree in general with the previous evaluations,but there are some differences in the *** importantly,the present results indicate that the cross-sections of the^6 Li(n,t)~4 He reaction might be overestimated by most evaluations in the 0.5-3.0 MeV region,although they are recommended as standards below 1.0 MeV.

关键词： ~6Li(n,t)~4He reaction differential cross-section angle-integrated cross-section LPDA

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一种多策略混合的粒子群优化算法

计算机科学 2018年第B6期45卷 120-123页

作者：余伟伟谢承旺北京工业大学软件学院北京100124 广西师范学院科学计算与智能信息处理广西高校重点实验室南宁530023

针对传统粒子群优化算法在解决一些复杂优化问题时易陷入局部最优且收敛速度较慢的问题,提出一种多策略混合的粒子群优化算法(Hybrid Particle Swarm Optimization with Multiply Strategies,HPSO)。该算法利用反向学习策略产生反向解群... 详细信息

针对传统粒子群优化算法在解决一些复杂优化问题时易陷入局部最优且收敛速度较慢的问题,提出一种多策略混合的粒子群优化算法(Hybrid Particle Swarm Optimization with Multiply Strategies,HPSO)。该算法利用反向学习策略产生反向解群,扩大粒子群搜索的范围,增强算法的全局勘探能力;同时,为避免种群陷入局部最优,算法对种群中部分较差的个体实施柯西变异,以产生远离局部极值的个体,而对群体中较好的个体施以差分进化变异,以增强算法的局部开采能力。对这3种策略进行了有机结合以更好地平衡粒子群算法全局勘探和局部开采的能力。将HPSO算法与其他3种知名的粒子群算法在10个标准测试函数上进行了性能比较实验,结果表明HPSO算法在求解精度和收敛速度上具有较显著的优势。

关键词：反向学习粒子群优化柯西变异差分进化

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人工微纳结构增强长波及甚长波红外探测器

物理学报 2022年第11期71卷 99-116页

作者：葛浩楠谢润章郭家祥李庆余羿叶何家乐王芳王鹏胡伟达中国科学院上海技术物理研究所红外物理国家重点实验室上海200083 上海科技大学物质科学与技术学院上海201210 中国科学院大学北京100049

红外探测器具有把物体辐射的光子信息转换为电信号的能力,拓宽了人们观察自然环境与人类活动的边界.当前,长波及甚长波红外探测器已在大气监测、夜间侦查、深空探测等领域有诸多应用.随着各国对高端红外探测器要求的快速提升,传统红外... 详细信息

红外探测器具有把物体辐射的光子信息转换为电信号的能力,拓宽了人们观察自然环境与人类活动的边界.当前,长波及甚长波红外探测器已在大气监测、夜间侦查、深空探测等领域有诸多应用.随着各国对高端红外探测器要求的快速提升,传统红外探测器难以兼顾高响应率、高响应速度以及多维探测等性能指标的瓶颈日益凸显.基于微纳光学理论设计的人工微纳结构,可实现其与红外光子的高效耦合,综合调控红外光场的振幅、偏振、相位及波长等自由度.为拓展红外探测器额外的调控自由度,进而在实现高量子效率的同时,兼顾较高的响应速率与优异的偏振或波长选择性,集成红外探测器与人工微纳结构的研究思路近年来被广泛应用.本文讨论了人工微纳结构在长波及甚长波红外探测领域的应用进展,详述了表面等离激元、局域等离激元、谐振腔结构、陷光结构、超透镜、赝表面等离激元、间隙等离激元和声子极化激元等机制的应用现状及各机制固有的优劣势,进而指出了人工微纳结构在长波及甚长波红外探测应用的发展前景与方向.

关键词：红外探测器人工微纳结构长波甚长波红外等离激元

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