检索结果-南通市图书馆

Niching method using clustering crowding

Journal of Central South University of Technology 2005年第z1期12卷 203-209页

作者： guo guan-qi gui wei-hua wu min yu shou-yi School of Information Science and Engineering Central South University Changsha 410083 China Department of Computer Science and Information Engineering Hunan Institute of Science and Technology Yueyang 414006 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China

This study analyzes drift phenomena of deterministic crowding and probabilistic crowding by using equivalence class model and expectation proportion equations. It is proved that the replacement errors of deterministic crowding cause the population converging to a single individual, thus resulting in premature stagnation or losing optional optima. And probabilistic crowding can maintain equilibrium multiple subpopulations as the population size is adequate large. An improved niching method using clustering crowding is proposed. By analyzing topology of fitness landscape using hill valley function and extending the search space for similarity analysis, clustering crowding determines the locality of search space more accurately, thus greatly decreasing replacement errors of crowding. The integration of deterministic and probabilistic replacement increases the capacity of both parallel local hill climbing and maintaining multiple subpopulations. The experimental results optimizing various multimodal functions show that,the performances of clustering crowding, such as the number of effective peaks maintained, average peak ratio and global optimum ratio are uniformly superior to those of the evolutionary algorithms using fitness sharing, simple deterministic crowding and probabilistic crowding.

关键词： evolutionary computation genetic drift niche clustering crowding

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

3-to 24-month Follow-up on COVID-19 with Pulmonary Tuberculosis Survivors after Discharge:Results from a Prospective,Multicenter Study

引用

Biomedical and Environmental Sciences 2022年第12期35卷 1091-1099页

作者： WANG Jing Ya ZONG Xing yu wu gui Hui qi yuan Lin LI Hui Zhen JI Xin yu TONG Lin ZHANG Lei YANG ming Bo YANG Pu Ye LI Ji Ke XIAO Fu Rong ZHANG Lin Song HU yun Hong LIU Hong De XU shou Fang SUN Sheng wu wei MAO Ya LI min qing HOU Hao hua GONG Zhao yuan guo Yang JIAO Li Wen qiN Jin WANG Ding yi WANG Fang guan Li LIN Gang MA Yan WANG Yan Ping SHI Nan Nan Community Health Service Management Center Dongcheng DistrictBeijing 100700China Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Public Health Clinical Center of Chengdu Chengdu 610066SichuanChina yiyuan TCM Hospital Zibo 256199ShandongChina Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Xi’an Eighth Hospital Xi’an 710000ShaanxiChina Harbin Infectious Disease Hospital Harbin 150000HeilongjiangChina Hospital(T.C.M)Affiliated to Southwest Medical University Luzhou 646000SichuanChina Xingtai Hospital of Chinese Medicine Xingtai 054000HebeiChina Shijiazhuang Fifth Hospital Shijiazhuang 050000HebeiChina Jiamusi Infectious Disease Hospital Jiamusi 154000HeilongjiangChina Chengde Hospital of Traditional Chinese Medicine Chengde 067040HebeiChina Hanzhong Central Hospital Hanzhong 723000ShaanxiChina Ankang Hospital of Traditional Chinese Medicine Ankang 725000ShaanxiChina Department of Traditional Chinese medicine Dazhou Central HospitalDazhou 635000SichuanChina China National Medicines Corporation Ltd Beijing 100077China Beijing University of Chinese Medicine Beijing 101121China Infectious Disease Hospital of Heilongjiang Province Harbin 150030HeilongjiangChin

Objective Coronavirus disease 2019(COVID-19)and tuberculosis(TB)are major public health and social issues *** long-term follow-up of COVID-19 with pulmonary TB(PTB)survivors after discharge is *** study aimed to comprehensively describe clinical outcomes,including sequela and recurrence at 3,12,and 24 months after discharge,among COVID-19 with PTB *** From January 22,2020 to May 6,2022,with a follow-up by August 26,2022,a prospective,multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13 hospitals from four provinces in *** outcomes,including sequela,recurrence of COVID-19,and PTB survivors,were collected via telephone and face-to-face interviews at 3,12,and 24 months after *** Thirty-two COVID-19 with PTB survivors were *** median age was 52(45,59)years,and 23(71.9%)were *** them,nearly two-thirds(62.5%)of the survivors were moderate,three(9.4%)were severe,and more than half(59.4%)had at least one comorbidity(PTB excluded).The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6%at 3 months to 15.8%at 24 months,with anxiety having a higher proportion over a *** and amnesia recovered at the 12-month follow-up,while anxiety,fatigue,and trouble sleeping remained after ***,one(3.1%)case presented two recurrences of PTB and no re-positive COVID-19during the follow-up *** The proportion of long symptoms in COVID-19 with PTB survivors decreased over time,while nearly one in six still experience persistent symptoms with a higher proportion of *** recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.

关键词： COVID-19 Pulmonary tuberculosis Long-term Sequela Recurrence Re-positive

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

CEPC Technical Design Report

引用

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

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

引用

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

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The first data release(DR1) of the LAMOST regular survey

引用

Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-Li Luo Yong-Heng Zhao Gang Zhao Li-Cai Deng Xiao-wei Liu yi-Peng Jing Gang Wang Hao-Tong Zhang Jian-Rong Shi Xiang-Qun Cui Yao-Quan Chu guo-Ping Li Zhong-Rui Bai yue wu Yan Cai Shu-yun Cao Zi-huang Cao Jeffrey L.Carlin Hai-yuan Chen Jian-Jun Chen Kun-Xin Chen Li Chen Xue-Lei Chen Xiao-Yan Chen ying Chen Norbert Christlieb Jia-Ru Chu Chen-Zhou Cui yi-qiao Dong Bing Du Dong-wei Fan Lei Feng Jian-Ning Fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-Xin guo Zhan-Wen Han Bo-Liang He Jin-Liang Hou Yong-Hui Hou Wen Hou Hong-Zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Zhi-ying Huo Lei Jia Fang-hua Jiang Xiang Jiang Zhi-Bo Jiang Ge Jin Xiao Kong Xu Kong Ya-Juan Lei Ai-hua Li Chang-hua Li guang-wei Li Hai-Ning Li Jian Li qi Li Shuang Li Sha-Sha Li Xin-Nan Li Yan Li yin-Bi Li Ye-Ping Li yuan Liang Chien-Cheng Lin Chao Liu Gen-Rong Liu guan-Qun Liu Zhi-Gang Liu Wen-Zhi Lu yu Luo yin-Dun Mao Heidi Newberg Ji-Jun Ni Zhao-Xiang qi Yong-Jun qi Shi-yin Shen Huo-ming Shi Jing Song yi-Han Song Ding-qiang Su Hong-Jun Su Zheng-Hong Tang qing-Sheng Tao yuan Tian Dan Wang Da-qi Wang Feng-Fei Wang guo-min Wang Hai Wang Hong-Chi Wang Jian Wang Jia-Ning Wang Jian-Ling Wang Jian-Ping Wang Jun-Xian Wang Lei Wang Meng-Xin Wang shou-guan Wang Shu-qing Wang Xia Wang Ya-Nan Wang You Wang yue-Fei Wang You-Fen Wang Peng wei ming-Zhi wei Hong wu Ke-Fei wu Xue-Bing wu yu-Zhong wu Xiao-Zheng Xing Ling-Zhe Xu Xin-qi Xu Yan Xu Tai-Sheng Yan De-hua Yang Hai-Feng Yang Hui-qin Yang ming Yang Zheng-qiu Yao Yong yu Hui yuan Hai-Bo yuan Hai-Long yuan wei-min yuan Chao Zhai En-Peng Zhang hua-wei Zhang Jian-Nan Zhang Li-Pin Zhang wei Zhang Yong Zhang Yan-Xia Zhang Zheng-Chao Zhang ming Zhao Fang Zhou Xu Zhou Jie Zhu Yong-Tian Zhu Si-Cheng Zou Fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Follow-up of 3-to 24-month on COVID-19 with Pulmonary Tuberculosis Survivors after Discharge:Results from a Prospective,Multi-center Study

Follow-up of 3-to 24-month on COVID-19 with Pulmonary Tuberc...

引用

中国防痨协会2023年第34届全国学术大会暨结核病诊防治新技术推广应用论坛

Objective Coronavirus disease 2019(COVID-19) and tuberculosis(TB) are major public health and social issues *** long-term follow-up of COVID-19 with pulmonary TB(PTB) survivors after discharge is *** study aimed to comprehensively describe clinical outcomes,including sequela and recurrence at 3,12,and 24 months after discharge,among COVID-19 with PTB *** From January 22,2020,to May 6,2022,with a follow-up by August 26,2022,a prospective,multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13 hospitals from four provinces in *** outcomes,including sequela,recurrence of COVID-19,and PTB survivors,were collected via telephone and face-to-face interviews at 3,12,and 24 months after *** Thirty-two COVID-19 with PTB survivors were *** median age was 52(45,59) years,and 23(71.9%) were *** them,nearly two-thirds(62.5%) of the survivors were moderate,three(9.4%) were severe,and more than half(59.4%) had at least one comorbidity(PTB excluded).The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6% at 3 months to 15.8% at 24 months,with anxiety having a higher proportion over a *** and amnesia recovered at the 12-month follow-up,while anxiety,fatigue,and trouble sleeping remained after 24 ***,one(3.1%) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up *** The proportion of long symptoms in COVID-19 with PTB survivors decreased over time,while nearly one in six still experience persistent symptoms with a higher proportion of *** recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.

关键词：

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Consensus statement on layout and delivery of automatic external defibrillator in China

引用

Journal of Hainan Medical University 2020年第15期26卷 18-23页

作者： yu Cao Song Chen Yan-Fen Chai Xiao-Hui Chen yu-guo Chen Shao-Wen Cheng Wen-wei Cheng Bang-Han Ding Yang Deng Jie Fu Bang-Jiang Fang Mai-ying Fan Li gui Ping Gong wei guo Shu-Bin guo Liang huang Ji-yuan Han Zhong Ji Xian-Fei Ji Xin-Cai Ji Hong-Xu Jin Xin-Jun Jiang Wang-Xiang Jiang Jia-Liang Liu Xiao-Ran Liu Zhi Liu Chuan-Zhu Lv Feng Lu Tan-Shi Li Xin Li Yong Li Shang-Lun Li Shuang-ming Li Xiao-Gang Li Bao-Jun Li Pei-wu Li Chun-Sheng Li Zhi-Jun Li Chang-Luo Li Xiang-min Li yin-Ping Li Zong-Jun Lu Zu-Xun Lu Zhong-qiu Lu Zhi-qian Luo Xiao-Xing Liao Jian-Bo Lei Tao Ma yu Ma yue-Feng Ma qing-Bian Ma Lin-Hao Ma Jun-qi Ma Shi-Nan Nie Jie-Miao Ou-Yang Peng Peng qiao Pei Shu-ming Pan guo-Zhong qing Li-Jie qin wu-ying qiao Fei Shao wei Song Xing-yue Song Zhen-Ju Song Rong-Ju Sun De-Ya Shang Du-Juan Sha gui-Lan Tao guo-Gang Tian ying-Ping Tian Jian-guang Tian Chao-Yang Tong Zi-Ren Tang Meng-Xiong Tang guo-Ping wu Zhi Wan Tao Wang Xin Wang Peng Wang Zhong Wang Tong Wang Ri-Xing Wang yi-Xin Wang Xiao-Dan Wang Ling wu wei wei hua Xiang Feng Xu Jun Xu Jie Xu Miao-Rong Xie Shuo-gui Xu Tie Xu Feng yu Wen yi Li-Shan Yang Shi-Jiao Yan Jin-Jian Yao shou-Chun Yan Xue-Zhong yu Xian-Zhi Ye Xian-Liang Yan Fu-Bing Zhou Rong-Bin Zhou ming Zhou qiang Zhou Jin Zhou Ping Zhou Chang-Ju Zhu hua-Dong Zhu Ji-Hong Zhu Hong Zhang Mao Zhang hua Zhang Na Zhang guo-qiang Zhang guo-Xiu Zhang Jin-Song Zhang Wen-wu Zhang Wen-Zhong Zhang Jian-Feng Zhang yi-min Zhu Jun Zeng yuan Zheng Zhi-Jie Zheng Shen Zhao Yan Zhao min Zhao Bin Zhao Xiao-Dong Zhao Xiao-Jing Zhao Hong-Ke Zeng Sheng-qiang Zou The Chinese Society of Emergency Medicine Research Unit of Island Emergency Medicine Chinese Academy of Medical SciencesHainan Medical University Key Laboratory of Emergency and Trauma of ministry of Education Hainan Medical UniversityHaikouHainanChina Emergency and Trauma College Hainan Medical UniversityHaikouHainanChina Department of Emergency Hainan Clinical Research Center for Acute and Critical DiseasesThe Second Affiliated Hospital of Hainan Medical UniversityHaikouHainanChina Key Laboratory of Hainan Trauma and Disaster Rescue Key Laboratory of Trauma of Hainan Medical University

*** Sudden cardiac death(SCD)refers to sudden death due to a variety of cardiac *** is manifested as a sudden loss of consciousness,cardiac arrest,and respiratory arrest and generally shows early symptoms that are atypical and not easily detected[1].According to a recent study,nearly 544000 patients suffer from SCD every year in China[2].

关键词： cardiac death respiratory

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：