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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

Timing analysis of the black hole candidate EXO 1846–031 with Insight-HXMT monitoring

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Research in Astronomy and Astrophysics 2021年第3期21卷 193-204页

作者： He-Xin Liu Yue Huang Guang-Cheng Xiao qing-Cui Bu Jin-Lu Qu Shu zhang Shuang-Nan zhang Shu-Mei Jia Fang-Jun Lu xiang Ma Lian Tao wei zhang Li Chen Li-Ming Song Ti-Pei Li Yu-Peng Xu Xue-Lei Cao Yong Chen cong-Zhan Liu Ce Cai Zhi Chang Gang Chen Tian-xiang Chen Yi-Bao Chen Yu-Peng Chen wei Cui wei-wei Cui Jing-Kang Deng Yong-wei Dong yuan-yuan Du Min-Xue fu Guan-Hua Gao He Gao Min Gao Ming-Yu Ge Yu-Dong Gu Ju Guan Cheng-Cheng Guo Da-wei Han Jia Huo Lu-Hua Jiang wei-Chun Jiang Jing Jin Yong-Jie Jin ling-Da Kong Bing Li Cheng-Kui Li Gang Li Mao-Shun Li wei Li Xian Li Xiao-Bo Li Xu-Fang Li yang-Guo Li Zheng-wei Li Xiao-Hua Liang Jing-yuan Liao Bai-Sheng Liu Guo-qing Liu hong-wei Liu Xiao-Jing Liu Yi-Nong Liu Bo Lu Xue-Feng Lu Qi Luo Tao Luo Bin Meng Yi Nang Jian-Yin Nie Ge Ou Na Sai Ren-Cheng Shang Xin-ying Song Liang Sun ying Tan You-Li Tuo Chen Wang Guo-Feng Wang Juan Wang ling-Jun Wang Weng-Shuai Wang Yu-Sa Wang xiang-yang Wen Bai-yang wu Bo-Bing wu Mei wu Shuo Xiao Shao-lin Xiong He Xu Jia-wei yang Sheng yang yan-Ji yang Yi-Jung yang Qi-Bin Yi Qian-qing Yin yuan You Ai-Mei zhang Cheng-Mo zhang Fan zhang hong-Mei zhang Juan zhang Tong zhang Wan-Chang zhang Wen-Zhao zhang Yi zhang Yi-Fei zhang Yong-Jie zhang yuan-Hang zhang Yue zhang Zhao zhang Zhi zhang Zi-Liang zhang Hai-Sheng Zhao Xiao-Fan Zhao Shi-Jie Zheng Yao-Guang Zheng Deng-Ke Zhou Jian-Feng Zhou Yu-Xuan zhu Ren-lin zhuang Yue zhu 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 Institut fur Astronomie und Astrophysik Kepler Center for Astro and Particle PhysicsEberhard Karls Universität72076 TubingenGermany Department of Astronomy Beijing Normal UniversityBeijing 100088China Department of Astronomy Tsinghua UniversityBeijing 100084China Department of Physics Tsinghua UniversityBeijing 100084China Department of Engineering Physics Tsinghua UniversityBeijing 100084China Key Laboratory of Space Astronomy and Technology National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China College of Physics Sciences&Technology Hebei UniversityBaoding 071002Hebei ProvinceChina

We present the observational results from a detailed timing analysis of the black hole candidate EXO 1846-031 during its outburst in 2019 with the observations of Insight-HXMT,NICER and *** outburst can be classified roughly into four different ***-C quasi-periodic oscillations(QPOs)observed by NICER(about 0.1-6 Hz)and Insight-HXMT(about 0.7-8 Hz)are also reported in this ***,we study various physical quantities related to QPO *** QPO rms-frequency relationship in the energy band 1-10 keV indicates that there is a turning pointing in frequency around2 Hz,which is similar to that of GRS 1915+105.A possible hypothesis for the relationship above may be related to the inclination of the source,which may require a high inclination to explain *** relationships between QPO frequency and QPO rms,hardness,total fractional rms and count rate have also been found in other transient sources,which can indicate that the origin of type-C QPOs is non-thermal.

关键词： X-ray binaries black hole candidate QPO EXO 1846–031

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

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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

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

Sex differences in the scored Patient-Generated Subjective Global Assessment in 19,528 cancer patients

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Journal of Nutritional Oncology 2023年第1期8卷 38-46页

作者： Wang yan-Li wu Tian-Tian fu Zhen-Ming Guo Zeng-qing lin yuan Shi ying-ying Hu Wen Ba Yi Li Su-Yi Li Zeng-Ning Wang Kun-Hua wu Jing He ying yang Jia-Jun Xie cong-Hua Zhou fu-xiang Song Xin-Xia Chen Gong-yan Ma Wen-Jun Luo Su-Xia Chen Zi-Hua cong Ming-Hua Ma Hu Zhou Chun-ling Wang wei Luo Qi Shi Yong-Mei Qi Yu-Mei Jiang Hai-Ping Guan Wen-Xian Chen Jun-Qiang Chen Jia-Xin Fang Yu Zhou Lan Feng Yong-Dong Tan Rong-Shao Li Tao Ou Jun-Wen Zhao qing-Chuan wu Jian-Xiong lin Xin yang Liu-qing zhang Qi Jia Ping-Ping Li wei Xu hong-Xia Shi Han-Ping Song Chun-Hua The Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group Chinese Society of Nutritional Oncology Department of Epidemiology and Statistics College of Public HealthZhengzhou UniversityZhengzhouHenanChina Cancer Center Renmin Hospital of Wuhan UniversityWuhanHubeiChina Department of Medical Oncology Fujian Cancer HospitalFujian Medical University Cancer HospitalFuzhouFujianChina Department of Gastrointestinal Surgery Affiliated Tumor Hospital of Guangxi Medical UniversityNanningGuangxiChina Department of Surgery The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdongChina Department of Clinical Nutrition West China Hospital of Sichuan UniversityChengduSichuanChina Department of Gastrointestinal Oncology Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for CancerTianjin Key Laboratory of Cancer Prevention and TherapyTianjinChina Department of Nutrition and Metabolism of Oncology Affiliated Provincial Hospital of Anhui Medical UniversityHefeiAnhuiChina Department of Clinical Nutrition The First Hospital of Hebei Medical UniversityShijiazhuangHebeiChina Department of Gastrointestinal Surgery Institute of GastroenterologyThe First Affiliated Hospital of Kunming Medical UniversityKunmingYunnanChina Zhongshan Chenxinghai Hospital(Affiliated Zhongshan Chenxinghai Hospital of Guangdong Medical University) ZhongshanGuangdongChina Department of Clinical Nutrition The First People's Hospital of KashiKashiXinjiangChina Department of Clinical Nutrition Chongqing General HospitalChongqingChina Department of Colorectal and Anal Surgery Huizhou Municipal Central HospitalHuizhouGuangdongChina Department of Radiation and Medical Oncology Zhongnan Hospital of Wuhan UniversityWuhanHubeiChina Department of Oncology Xingtai People’s HospitalHebei Medical UniversityXingtaiHebeiChina The First Department of the Tumor Hospital of Harbin Medical University HarbinHeilongjiangChina Department of Nutrition Guangdong General HospitalGuangdong Academy of Medical SciencesGuangzhouGuangdongChina Department of Oncology Affiliated

Background:The scored Patient-Generated Subjective Global Assessment(PG-SGA)has been widely used to assess the nutritional status of cancer *** purpose of this study is to compare the differences in PG-SGA scores and the 7 domain scores of the PG-SGA in male and female cancer ***:This study was conducted at 72 hospitals from July 2013 to December 2018,a part of the Investigation on Nutritional Status and its Clinical Outcomes of Common *** PG-SGA was recorded to evaluate the nutritional status of patients.A total of 19,528 patients with 13 common malignancies were included in this *** t test and the χ^(2) test were applied to analyze the sex diferences in the 7 domain *** Cancer Genome Atlas(TCGA)database was used to analyze the expression levels of symptom-related ***:There were significant sex dfferences in the PG-SGA(P=0.032),notably in patients with gastric cancer(male vs female:9.09±4.86 vs 9.58±5.07,P=0.005)and esophageal cancer(9.64±4.90 vs 10.46±4.96,P=0.011)and the average total PG-SGA of female patients was slightly higher than that of male patients(7.64±4.98 vs 7.77±5.14).The differences were mainly related to the weight,eating,symptom,as well as activity and physical function scores in the stratified *** causes of the sex differences were the rates of nausea,vomiting,dry mouth,and other symptoms,in both gastric and esophageal cancer *** of the TCGA database suggested that most of the related genes were sex neutral,except for genes related to dysphagia in gastric cancer(VEGFC was higher in female patients,VEGFA and VEGFB higher in male patients).Conclusions:There are sex differences in the PG-SGA scores in patients with various tumor types(female patients generally had higher scores than male patients),with differences mainly in the weight,eating,symptom,as well as activity and physical function *** sex differences in PG-SGA scores might be due to the differences i

关键词： PG-SGA Sex differences Malnutrition Cancer patients TCGA database

GC/LC-Q/TOF MS测定当归中农药残留及膳食风险评估

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分析测试学报 2024年第2期43卷 292-300页

作者：常巧英杨志敏白若镔邱国玉李坚朱仁愿张虹艳闫君吴福祥中国检验检疫科学研究院北京100176 兰州市食品药品检验检测研究院食品中农药兽药残留监控重点实验室甘肃兰州730050 中原食品实验室河南漯河462300 甘肃药业集团科技创新研究院有限公司甘肃兰州730050

采用气相色谱/液相色谱-四极杆飞行时间质谱(GC/LC-Q/TOF MS)对100例市售当归样品进行了989种农药残留分析,按照风险排序法对检出农药的风险等级进行归类,采用点评估法评估了检出农药的慢性、急性膳食摄入风险,危害指数法(HI)计算了累... 详细信息

采用气相色谱/液相色谱-四极杆飞行时间质谱(GC/LC-Q/TOF MS)对100例市售当归样品进行了989种农药残留分析,按照风险排序法对检出农药的风险等级进行归类,采用点评估法评估了检出农药的慢性、急性膳食摄入风险,危害指数法(HI)计算了累积风险值。100例当归的总检出率为95%,共检出27种农药,其中甲拌磷和毒死蜱的检出率较高,农药残留量为0.0010~1.4077 mg/kg。依据《中国药典(2020年版)》和GB 2763-2021,检出农药中只有甲拌磷、甲基异柳磷、特丁硫磷有最大残留限量(MRL)值,其中甲拌磷的超标率最高。风险排序结果表明,高风险农药为甲拌磷、特丁硫磷、甲基异柳磷。膳食摄入风险和累积风险结果显示,检出农药的慢性膳食摄入风险(%ADI)和急性膳食摄入风险(%ARfD)平均值分别为0.2908%和0.0978%,均远低于100%;慢性累积暴露危害指数(HIc)和急性累积暴露危害指数(HIa)分别为0.06689和0.01173,均远小于1,慢性和急性膳食摄入风险及累积风险均处于可接受水平。当归中检出农药的膳食摄入和累积暴露的风险均较低,但仍需加强对农药使用的监管,建议制定当归中检出的中等风险农药的MRL值。

关键词：当归 GC-Q/TOF MS LC-Q/TOF MS 农药残留风险排序危害指数法风险评估

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

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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

2012-2016年中国棘球蚴病抽样调查分析

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中国寄生虫学与寄生虫病杂志 2018年第1期36卷 1-14页

作者：伍卫平王虎王谦周晓农王立英郑灿军曹建平肖宁王莹朱曜宇牛彦麟薛垂召曾祥嫚房琦韩帅余晴杨诗杰付青白雪飞田添李军建张梦媛吴文婷张山山侯岩岩冯宇马宵李斌李凡卡郭卫东杨亚明吴向林金小林张红卫于石成中国疾病预防控制中心寄生虫病预防控制所世界卫生组织热带病合作中心科技部国家级热带病国际联合研究中心卫生部寄生虫病原与媒介生物学重点实验室上海200025 青海省卫生和计划生育委员会西宁810000 四川省疾病预防控制中心成都610041 中国疾病预防控制中心北京102206 北京市疾病预防控制中心北京100013 宁波市第二医院宁波315000 上海市第一人民医院上海201620 新疆自治区疾病预防控制中心乌鲁木齐830001 甘肃省疾病预防控制中心兰州73000 青海省地方病预防控制所西宁810000 西藏自治区疾病预防控制中心拉萨850000 新疆生产建设兵团乌鲁木齐830002 内蒙古自治区疾病预防控制中心呼和浩特010031 云南省寄生虫病防治研究所普洱650022 宁夏自治区疾病预防控制中心银川750004 江苏省寄生虫病防治研究所无锡214064 河南省疾病预防控制中心郑州450016

目的了解中国棘球蚴病流行范围和程度。方法 2012-2016年,在内蒙古、四川、西藏、甘肃、青海、宁夏、云南、陕西、新疆(包括新疆生产建设兵团)9省(自治区)有疑似棘球蚴病本地感染者和可能存在棘球蚴病传播条件的县(市、师),按照牧业、... 详细信息

目的了解中国棘球蚴病流行范围和程度。方法 2012-2016年,在内蒙古、四川、西藏、甘肃、青海、宁夏、云南、陕西、新疆(包括新疆生产建设兵团)9省(自治区)有疑似棘球蚴病本地感染者和可能存在棘球蚴病传播条件的县(市、师),按照牧业、半农半牧、农业和城镇等4种生产类型的行政村(居委会)占全县人口的比例,确定各层抽样行政村数,随机抽取16个调查村,每村调查200人,对1岁以上常住居民进行超声检查棘球蚴病患病情况,疑似病例辅以血清学检测。在各调查县(市、师)以牧区、半农半牧区、农区和城镇为主的乡(镇)各抽1所完全小学,超声检查儿童棘球蚴病患病情况,并采集血样,用ELISA检测血清抗棘球蚴抗体。在每个调查村抽取20个养犬户,每户采集1条犬的粪样,ELISA检测犬粪棘球绦虫抗原。每县(市、师)选取当地繁育的1齿龄(岁)及以上的羊1 000只或牛500头,采用内脏剖检法检查家畜棘球蚴感染情况。在多房棘球蚴病患者居住地周围捕捉各种啮齿类动物,内脏剖检法检查多房棘球蚴感染情况。另在2000年以来有棘球蚴病病例报告的河南和江苏两省各选2个县(市)病例所在区域进行人群患病情况和中间宿主感染情况调查。根据调查结果、当地存在传播条件和有本地感染病例、周边有棘球蚴病流行区的确定为棘球蚴病流行县。按照分层加权的方法推算居民患病率和患病人数。结果全国共调查413个县,其中368个县被确定为棘球蚴病流行县,分布于内蒙古、四川、西藏、甘肃、青海、宁夏、云南、陕西和新疆等9省(自治区),其中115个县为细粒棘球蚴病和多房棘球蚴病混合流行,无单纯多房棘球蚴病的流行县(市、师)。在364个流行县(市、师)中,共调查1 001 173人,检出棘球蚴病5 133例,总检出率为0.51%;其中细粒棘球病4 018例(占78.28%)、多房棘球蚴病1 008例(占19.64%)、细粒和多房混合感染病例47例(占0.92%)和未分型60例(占1.17%)。推算流行区人群患病率为0.28%,患病人数为166 098例。364个流行县(市、师)中,属青藏高原的有158个县(占43.41%),人群棘球蚴病检出率为1.28%(4 260/332 884),高于非青藏高原地区的0.13%(873/668 289)(χ～2=5 752.13,P<0.05)。西藏自治区人群棘球蚴病检出率和推算患病率均最高,分别为1.71%(1 371/80 384)和1.66%,与其他省(自治区)的检出率比较差异有统计学意义(χ～2=2 435.70,P<0.05)。牧区、半农半牧区、农区和城镇等4种生产类型地区的棘球蚴病检出率分别为1.62%(2 901/178 544)、0.50%(1 097/219 829)、0.19%(830/435 672)和0.21%(280/131 745)(χ～2=5 278.60,P<0.05)。男性和女性棘球蚴病检出率分别为0.43%(2 047/476 601)和0.59%(3 086/524 522)(χ～2=123.27,P<0.05)。不同年龄组中,≥90岁年龄组人群棘球蚴病检出率最高,为1.35%(6/443);棘球蚴病检出率随着年龄的增长而升高(χ～2_(趋势)=247.99,P<0.05)。不同职业人群中,宗教人士的棘球蚴病检出率最高,为4.42%(79/1 786);不同职业人群的检出率差异有统计学意义(χ～2=6 138.90,P<0.05)。不同文化程度人群中,文盲人群的棘球蚴病检出率最高,为1.22%(2 968/242 423);不同文化程度人群棘球蚴病检出率差异有统计学意义(χ～2=3 381.40,P<0.05)。共超声检查儿童385 878人,棘球蚴病检出率为0.10%(371/385 878);ELISA检测儿童血样364 770份,抗棘球蚴抗体阳性率为3.03%(11 035/364 770),其中青海省的儿童血清抗体阳性率最高(5.92%,2 693/45 507),与其他省(自治区)的比较差异有统计学意义(χ～2=1 481.80,P<0.05)。共采集犬粪样111 832份,检出棘球绦虫抗原阳性4 750份,阳性率为4.25%,其中青海省的犬粪抗原阳性率最高,为13.02%(1 505/11 563),与其他省(自治区)的比较差异有统计学意义(χ～2=2 435.50,P<0.05)。在342个流行县开展家畜(羊、牛、猪)棘球蚴感染情况调查,感染总检出率为4.68%(10 186/217 774),其中西藏自治区的家畜感染检出率最高,为13.21%(283/2 143),与其他省(自治区)的比较差异有统计学意义(χ～2=351.14,P<0.05);羊感染的检出率为4.84%(8 448/178 946)。在有多房棘球蚴病流行

关键词：中国棘球蚴病细粒棘球蚴病多房棘球蚴病流行情况

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注射用丹参多酚酸盐的临床应用综合评价

中国药学杂志 2021年第6期56卷 507-514页

作者：韩晟赵熙子史录文林丽开李大魁陈凯先宣利江马传江马海英方唯一王丽霞文爱东付秀娟左燕刘小玲刘向红刘国强朱珠陈万生陈维红吴方建吴玉波吴晖张伟张毕奎林慧周国华欧阳荣胡元会姜明燕赵春景贾乐川晋月萍唐洪梅曹俊岭梁春商洪才董占军董吁钢翟所迪北京大学医药管理国际研究中心北京100191 武汉大学中南医院武汉大学医院管理研究所武汉430071 北京协和医院北京100730 中国科学院上海药物研究所上海201203 山东中医药大学附属医院济南250014 中国医科大学附属第四医院沈阳110000 复旦大学附属华东医院上海200030 中国中医科学院广安门医院北京100053 中国人民解放军空军军医大学第一附属医院西安710032 吉林大学第二医院长春130041 陕西省人民医院西安710068 内蒙古自治区人民医院呼和浩特010017 山东大学齐鲁医院济南250012 河北医科大学第三医院石家庄050051 海军军医大学第二附属医院上海200003 山西白求恩医院(山西医学科学院) 太原030032 长江航运总医院武汉430015 哈尔滨医科大学附属第四医院哈尔滨150001 昆明医科大学第一附属医院昆明650032 河南省人民医院郑州450003 中南大学湘雅二医院长沙410011 海南省药学会海口570102 南京大学医学院附属金陵医院南京210000 湖南中医药大学第一附属医院长沙410007 中国医科大学附属第一医院沈阳110001 重庆医科大学附属第二医院重庆400010 宁夏医科大学总医院银川750004 山西医科大学第一医院太原030001 广州中医药大学第一附属医院广州510405 北京中医药大学东方医院北京100078 北京中医药大学东直门医院北京100007 河北省人民医院石家庄050051 中山大学附属第一医院广州510080 北京大学第三医院北京100191

目的以注射用丹参多酚酸盐为例,探索中药注射剂临床应用的综合评价方法,为今后相关工作的开展和完善提供参考。方法通过文献检索和获取相关文献资料,从有效性、安全性、经济性、顺应性和标签信息等方面对注射用丹参多酚酸盐进行系统综... 详细信息

目的以注射用丹参多酚酸盐为例,探索中药注射剂临床应用的综合评价方法,为今后相关工作的开展和完善提供参考。方法通过文献检索和获取相关文献资料,从有效性、安全性、经济性、顺应性和标签信息等方面对注射用丹参多酚酸盐进行系统综合评价。结果除说明书适应证外,丹参多酚酸盐在心血管疾病、脑血管疾病等多种超说明书适应证中都存在具有一定质量的临床研究证据;在安全性、经济性方面的文献证据较为丰富。结论注射用丹参多酚酸盐在有效性、安全性及经济性等方面的临床研究证据较多,且具有一定的体系。但作为一个临床应用大品种,该药依然需要在一些方面做出更多的研究努力。

关键词：丹参酚酸B镁药品综合评价中药注射剂有效性安全性