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

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

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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

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Data release of the LAMOST pilot survey

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Research in Astronomy and Astrophysics 2012年第9期12卷 1243-1246页

作者： A-Li Luo Hao-Tong Zhang Yong-Heng Zhao Gang Zhao Xiang-qun Cui Guo-Ping Li Yao-Quan Chu jian-Rong Shi Gang Wang jian-Nan Zhang Zhong-Rui Bai Xiao-yan Chen Feng-Fei Wang yan-Xin Guo jian-Jun Chen Bing Du Xiao Kong Ya-Juan Lei yin-Bi Li yi-Han Song Yue wu yan-Xia Zhang Xin-Lin Zhou Fang Zuo Peng Du Lin He wen Hou yi-Qiao Dong jian Li Guang-Wei Li Shuang Li Jing Song Yuan Tian meng-Xin Wang Yong-Hui Hou Zhi-ying Huo Hong-Zhuan Hu Ning-Sheng Hu Zhong-wen Hu Lei jia Fang-Hua jiang Xiang jiang Zi-Bo jiang Ge Jin Ai-Hua Li Qi Li yin-Dun Mao Zheng-Hong Tang qing-Sheng Tao Liang-Ping Tu Da-qing Wang Dan Wang jian-Ping Wang Lei Wang Shou-Guan Wang Shu-qing Wang Ya-Nan Wang You Wang Yue-Fei Wang Ming-Zhi Wei Xiang-Xiang Xue Xiao-Zheng Xing Ling-Zhe Xu Xin-Qi Xu yan Xu De-Hua yang Shi-Hai yang Zheng-Qiu Yao Yong Yu Hui Yuan chao Zhai En-Peng Zhang Jing Zhang Li-Ping Zhang WeiZhang Yong Zhang Zhen-chao Zhang Ming Zhao Fang Zhou Yong-Tian Zhu Jie Zhu Si-Cheng Zou National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China lal @ lamost o rg Nanjing Institute of Astronomical Optics and Technology National Astronomical ObservatoriesChinese Academy of Sciences Nanjing 210042 China University of Science and Technologyof China Hefei 230026 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai 200030 China Institute of Architecture Design and Research Chinese Academy of Sciences Beijing 100190China

This paper describes the data release of the LAMOST pilot survey, which includes data reduction, calibration, spectral analysis, data products and data access. The accuracy of the released data and the information about the FITS headers of spectra are also introduced. The released data set includes 319 000 spectra and a catalog of these objects.

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

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2015-2021年CHINET临床分离肠球菌属细菌耐药性变迁

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中国感染与化疗杂志 2024年第3期24卷 300-308页

作者：陈娜季萍杨洋胡付品朱德妹徐英春张小江谢轶康梅王传清付盼徐元宏黄颖孙自镛陈中举倪语星孙景勇褚云卓田素飞胡志东李金俞云松林洁单斌杜艳郭素芳魏莲花邹凤梅张泓王春胡云建艾效曼卓超苏丹虹郭大文赵金英喻华黄湘宁刘文恩李艳明金炎邵春红徐雪松鄢超王山梅楚亚菲张利侠马娟周树平周艳朱镭孟晋华董方吕志勇胡芳芳沈瀚周万青贾伟李刚吴劲松卢月梅李继红段金菊康建邦马晓波郑燕萍郭如意朱焱陈运生孟青王世富胡雪飞沈继录汪瑞忠房华俞碧霞赵勇龚萍温开镇张贻荣刘江山廖龙凤顾洪芹姜琳贺雯薛顺虹冯佼岳春雷新疆医科大学第一附属医院医学检验中心新疆830000 复旦大学附属华山医院抗生素研究所北京协和医院四川大学华西医院复旦大学附属儿科医院安徽医科大学第一附属医院华中科技大学同济医学院附属同济医院上海交通大学医学院附属瑞金医院中国医科大学附属第一医院天津医科大学总医院浙江大学医学院附属邵逸夫医院昆明医科大学第一附属医院内蒙古医科大学附属医院甘肃省人民医院上海交通大学医学院附属儿童医院北京医院广州医科大学附属第一医院哈尔滨医科大学附属第一医院四川省人民医院中南大学湘雅医院山东省立医院吉林大学中日联谊医院河南省人民医院陕西省人民医院江西省儿童医院山西省儿童医院首都医科大学附属北京儿童医院贵州省人民医院南京大学医学院附属鼓楼医院宁夏医科大学总医院深圳市人民医院河北医科大学第二医院山西医科大学第二医院厦门大学附属第一医院福建省泉州市第一医院深圳市儿童医院山东大学齐鲁儿童医院南昌大学第一附属医院安徽医科大学第四附属医院上海市浦东新区人民医院浙江省宁波市镇海龙赛医院湖北省秭归县人民医院福建省晋江市医院甘肃省金昌市中西医结合医院江西省赣县区人民医院山东省广饶县人民医院河南省辉县市人民医院辽宁省营口市经济技术开发区中心医院青海省互助县人民医院四川省邻水县人民医院吉林省九台区人民医院

目的了解2015-2021年中国主要地区临床分离肠球菌属细菌的分布及耐药性变迁。方法按CHINET统一技术方案,采用自动化仪器法、纸片扩散法或E试验条法对CHINET成员单位临床分离的肠球菌属细菌进行药物敏感性试验,结果参照2021年CLSI标准判... 详细信息

目的了解2015-2021年中国主要地区临床分离肠球菌属细菌的分布及耐药性变迁。方法按CHINET统一技术方案,采用自动化仪器法、纸片扩散法或E试验条法对CHINET成员单位临床分离的肠球菌属细菌进行药物敏感性试验,结果参照2021年CLSI标准判读,采用WHONET 5.6软件进行统计分析。结果7年间共分离肠球菌属细菌124565株,主要分离菌仍为屎肠球菌(50.7%)、粪肠球菌(41.5%)。标本来源主要为尿道标本(46.9%±2.6%),科室来源主要分离自内科、外科、ICU。屎肠球菌和粪肠球菌对万古霉素、替考拉宁、利奈唑胺的耐药率均保持在较低水平(≤3.6%)。万古霉素耐药的粪肠球菌和屎肠球菌检出率为0.1%和1.3%,利奈唑胺耐药的粪肠球菌从2015年的0.7%上升至2021年的3.4%、屎肠球菌的检出率为0.3%。结论肠球菌属临床分离菌对万古霉素、替考拉宁、利奈唑胺保持较好的体外敏感性,细菌耐药率低。但利奈唑胺耐药的粪肠球菌检出率有逐年增高的趋势,应加强细菌耐药监测,及时发现耐药菌的发生和遏制耐药菌播散。

关键词：肠球菌属细菌耐药性监测耐药性变迁

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The Lyman-alpha Solar Telescope(LST) for the ASO-S mission——Ⅱ. design of LST

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Research in Astronomy and Astrophysics 2019年第11期19卷 33-48页

作者： Bo Chen Hui Li Ke-Fei Song Quan-Feng Guo Pei-Jie Zhang Ling-Ping He Shuang Dai Xiao-Dong Wang Hai-Feng Wang Chun-Long Liu Hong-Ji Zhang Guang Zhang Yunqi Wang Shi-Jie Liu Hong-Xin Zhang Lei Liu Shi-Lei Mao yang Liu jia-Hao Peng Peng Wang Liang Sun yang Liu Zhen-Wei Han yan-Long Wang Kun wu Guang-Xing Ding Peng Zhou Xin Zheng Ming-yi Xia qing-wen wu Jin-jiang Xie Ya Chen Shu-mei Song Hong Wang Bo Zhu Chang-Bo Chu wen-Gang yang Li Feng Yu Huang Wei-qun Gan ying Li Jing-Wei Li Lei Lu jian-chao Xue Bei-Li ying Ming-Zhe Sun Cheng Zhu Wei-Min Bao Lei Deng zeng-Shan yin Changchun Institute of Optics FineMechanics and PhysicsChinese Academy of SciencesChangchun 130033China State Key Laboratory of Applied Optics Changchun 130033China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210034China School of Astronomy and Space Science University of Science and Technology of ChinaHefei 230026China Xi’an Institute of Optics and Precision Mechanics Chinese Academy of SciencesXi’an 710119China Shandong University Weihai 264209China Innovation Academy for Microsatellites Chinese Academy of SciencesShanghai 201210China

As one of the three payloads for the Advanced Space-based Solar Observatory(ASO-S)mission,the Lyman-alpha(Lyα)Solar Telescope(LST)is composed of three instruments:a Solar Corona Imager(SCI),a LyαSolar Disk Imager(SDI)and a full-disk White-light Solar Telescope(WST).When working in-orbit,LST will simultaneously perform high-resolution imaging observations of all regions from the solar disk to the inner corona up to 2.5 R⊙(R⊙stands for the mean solar radius)with a spatial resolution of 4.8′′and 1.2′′for coronal and disk observations,respectively,and a temporal resolution of 30–120 s and 1–120 s for coronal and disk observations,*** maximum exposure time can be up to20 s due to precise pointing and image stabilization *** the three telescopes of LST,SCI is a dual-waveband coronagraph simultaneously and independently observing the inner corona in the HI Lyα(121.6±10 nm)line and white light(WL)(700±40 nm)wavebands by using a narrowband Lyαbeam splitter and has a field of view(FOV)from 1.1 to 2.5 R⊙.The stray-light suppression level can attain<10^-6 B⊙(B⊙is the mean brightness of the solar disk)at 1.1 R⊙and≤5×10^-8 B⊙at 2.5 R⊙.SDI and WST are solar disk imagers working in the Lyαline and 360.0 nm wavebands,respectively,which adopt an off-axis two-mirror reflective structure with an FOV up to 1.2 R⊙,covering the inner coronal edge area and relating to coronal *** present the up-to-date design for the LST payload.

关键词： telescopes—instrumentation high angular resolution—Sun flares—Sun coronal mass ejections(CMEs)—Sun UV radiation

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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

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2015-2021年CHINET尿液分离菌分布和耐药性变迁

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中国感染与化疗杂志 2024年第3期24卷 287-299页

作者：李艳明邹明祥刘文恩杨洋胡付品朱德妹徐英春张小江张峰波季萍谢轶康梅王传清付盼徐元宏黄颖孙自镛陈中举倪语星孙景勇褚云卓田素飞胡志东李金俞云松林洁单斌杜艳郭素芳魏莲花邹凤梅张泓王春胡云建艾效曼卓超苏丹虹郭大文赵金英喻华黄湘宁金炎邵春红徐雪松鄢超王山梅楚亚菲张利侠马娟周树平周艳朱镭孟晋华董方吕志勇胡芳芳沈瀚周万青贾伟李刚吴劲松卢月梅李继红段金菊康建邦马晓波郑燕萍郭如意朱焱陈运生孟青王世富胡雪飞沈继录汪瑞忠房华俞碧霞赵勇龚萍温开镇张贻荣刘江山廖龙凤顾洪芹姜琳贺雯薛顺虹冯佼岳春雷中南大学湘雅医院检验科长沙410008 复旦大学附属华山医院抗生素研究所北京协和医院新疆医科大学第一附属医院四川大学华西医院复旦大学附属儿科医院安徽医科大学第一附属医院华中科技大学同济医学院附属同济医院上海交通大学医学院附属瑞金医院中国医科大学附属第一医院天津医科大学总医院浙江大学医学院附属邵逸夫医院昆明医科大学第一附属医院内蒙古医科大学附属医院甘肃省人民医院上海交通大学医学院附属儿童医院北京医院广州医科大学附属第一医院哈尔滨医科大学附属第一医院四川省人民医院山东省立医院吉林大学中日联谊医院河南省人民医院陕西省人民医院江西省儿童医院山西省儿童医院首都医科大学附属北京儿童医院贵州省人民医院南京大学医学院附属鼓楼医院宁夏医科大学总医院深圳市人民医院河北医科大学第二医院山西医科大学第二医院厦门大学附属第一医院福建省泉州市第一医院深圳市儿童医院山东大学齐鲁儿童医院南昌大学第一附属医院安徽医科大学第四附属医院上海市浦东新区人民医院浙江省宁波市镇海龙赛医院湖北省秭归县人民医院福建省晋江市医院甘肃省金昌市中西医结合医院江西省赣县区人民医院山东省广饶县人民医院河南省辉县市人民医院辽宁省营口市经济技术开发区中心医院青海省互助县人民医院四川省邻水县人民医院吉林省九台区人民医院

目的了解2015-2021年CHINET细菌耐药监测网中尿液分离菌的分布和耐药性。方法收集CHINET细菌耐药监测网51家医疗机构2015-2021年所有尿液标本临床分离菌的耐药监测数据资料,采用WHONET 5.6软件进行统计分析。结果2012-2021年尿液标本共... 详细信息

目的了解2015-2021年CHINET细菌耐药监测网中尿液分离菌的分布和耐药性。方法收集CHINET细菌耐药监测网51家医疗机构2015-2021年所有尿液标本临床分离菌的耐药监测数据资料,采用WHONET 5.6软件进行统计分析。结果2012-2021年尿液标本共分离细菌261893株,其中革兰阳性菌62219株,占23.8%,革兰阴性菌199674株占76.2%。常见的分离菌依次为大肠埃希菌(46.7%)、屎肠球菌(10.4%)、肺炎克雷伯菌(9.8%)、粪肠球菌(8.7%)、奇异变形杆菌(3.5%)、铜绿假单胞菌(3.4%)、无乳链球菌(2.6%)和阴沟肠杆菌(2.1%)。上述细菌主要分离自住院患者,女性多见于男性,成人多见于儿童。大肠埃希菌、肺炎克雷伯菌和奇异变形杆菌中产超广谱β内酰胺酶(ESBL)菌株分别占53.2%、52.8%和37.0%。耐碳青霉烯类的大肠埃希菌、肺炎克雷伯菌、铜绿假单胞菌和鲍曼不动杆菌中检出率分别为1.7%、18.5%、16.4%和40.3%。粪肠球菌对氨苄西林、呋喃妥因、利奈唑胺、万古霉素、替考拉宁和磷霉素的耐药率90%,对万古霉素、利奈唑胺和替考拉宁的耐药率<2%。ICU住院患者分离的大肠埃希菌、肺炎克雷伯菌、铜绿假单胞菌和鲍曼不动杆菌对大部分抗菌药物的耐药率明显高于门诊患者和非ICU住院患者。结论尿液标本临床分离菌主要以大肠埃希菌、肠球菌和肺炎克雷伯菌为主,不同人群尿液标本中分离的细菌种类和耐药性不尽相同,应重视细菌耐药监测,减少抗菌药物的不合理使用。

关键词：尿液细菌耐药性监测药物敏感性试验大肠埃希菌多重耐药菌

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2015—2021年CHINET临床分离铜绿假单胞菌耐药性变迁

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中国感染与化疗杂志 2024年第2期24卷 198-205页

作者：谢潋滟孙景勇杨洋胡付品朱德妹蒋晓飞徐英春张小江付盼季萍谢轶康梅王传清张峰波徐元宏黄颖孙自镛陈中举褚云卓田素飞胡志东李金俞云松林洁单斌杜艳郭素芳魏莲花邹凤梅张泓王春胡云建艾效曼卓超苏丹虹郭大文赵金英喻华黄湘宁刘文恩李艳明金炎邵春红徐雪松鄢超王山梅楚亚菲张利侠马娟周树平周艳朱镭孟晋华董方吕志勇胡芳芳沈瀚周万青贾伟李刚吴劲松卢月梅李继红段金菊康建邦马晓波郑燕萍郭如意朱焱陈运生孟青王世富胡雪飞沈继录汪瑞忠房华俞碧霞赵勇龚萍温开镇张贻荣刘江山廖龙凤顾洪芹姜琳贺雯薛顺虹冯佼岳春雷上海交通大学医学院附属瑞金医院临床实验诊断中心上海200025 复旦大学附属华山医院抗生素研究所复旦大学附属华山医院检验科北京协和医院新疆医科大学第一附属医院四川大学华西医院复旦大学附属儿科医院安徽医科大学第一附属医院华中科技大学同济医学院附属同济医院中国医科大学附属第一医院天津医科大学总医院浙江大学医学院附属邵逸夫医院昆明医科大学第一附属医院内蒙古医科大学附属医院甘肃省人民医院上海交通大学医学院附属儿童医院北京医院广州医科大学附属第一医院哈尔滨医科大学附属第一医院四川省人民医院中南大学湘雅医院山东省立医院吉林大学中日联谊医院河南省人民医院陕西省人民医院江西省儿童医院山西省儿童医院首都医科大学附属北京儿童医院贵州省人民医院南京大学医学院附属鼓楼医院宁夏医科大学总医院深圳市人民医院河北医科大学第二医院山西医科大学第二医院厦门大学附属第一医院福建省泉州市第一医院深圳市儿童医院山东大学齐鲁儿童医院南昌大学第一附属医院安徽医科大学第四附属医院上海市浦东新区人民医院浙江省宁波市镇海龙赛医院湖北省秭归县人民医院福建省晋江市医院甘肃省金昌市中西医结合医院江西省赣县区人民医院山东省广饶县人民医院河南省辉县市人民医院辽宁省营口市经济技术开发区中心医院青海省互助县人民医院四川省邻水县人民医院吉林省九台区人民医院

目的了解2015—2021年中国主要地区临床分离铜绿假单胞菌对各类抗菌药物的耐药性变迁。方法对CHINET 51所医院临床分离铜绿假单胞菌按照CHINET技术方案采用纸片扩散法或自动化仪器法进行抗菌药物敏感性试验,按照CLSI 2021年标准判读药... 详细信息

目的了解2015—2021年中国主要地区临床分离铜绿假单胞菌对各类抗菌药物的耐药性变迁。方法对CHINET 51所医院临床分离铜绿假单胞菌按照CHINET技术方案采用纸片扩散法或自动化仪器法进行抗菌药物敏感性试验,按照CLSI 2021年标准判读药敏结果,并用WHONET 5.6软件进行数据分析。结果2015—2021年从51所医院临床标本中共分离到129701株铜绿假单胞菌,检出率为8.6%,历年该菌检出率在不发酵糖革兰阴性杆菌中次于不动杆菌属排第二位。其中(91.4±1.0)%菌株分离自住院患者,(66.4±2.8)%菌株分离自呼吸道分泌物。铜绿假单胞菌对各种抗菌药物耐药率均有所下降,对阿米卡星、多黏菌素及头孢他啶-阿维巴坦的敏感率>90%。分离自门急诊的菌株对各抗菌药物的耐药率在1.0%~19.8%,分离自ICU的菌株耐药率为0.6%~40.5%,分离自内科和外科的菌株耐药率分别为0.8%~28.8%和1.2%~23.3%。分离自儿童的菌株耐药率在0.8%~18.8%,成人株为1.2%~26.1%,老年株为1.0%~28.5%。二级医院、三级医院和儿童医院分离菌株的耐药率分别为2.5%~24.2%、0.7%~27.6%和0.6%~20.3%。碳青霉烯类耐药铜绿假单胞菌共35153株,检出率为27.1%。结论铜绿假单胞菌是最常检出的不发酵糖革兰阴性杆菌之一,该菌对各抗菌药物耐药率逐年下降,耐药监测是控制细菌耐药发生和发展行之有效的手段。来自不同标本类型、不同科室及患者年龄的菌株耐药性相差较大,临床中更应该加强监测,协助医师合理用药,预防和控制耐药菌的流行。

关键词：耐药监测铜绿假单胞菌药物敏感性耐药性变迁

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维普期刊数据库

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2015—2021年CHINET临床分离枸橼酸杆菌属细菌耐药性变迁

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中国感染与化疗杂志 2024年第2期24卷 190-197页

作者：李可可魏莲花杨洋胡付品朱德妹徐英春张小江张朝霞季萍谢轶康梅王传清王爱敏徐元宏黄颖孙自镛陈中举倪语星孙景勇褚云卓田素飞胡志东李金俞云松林洁单斌杜艳郭素芳张泓王春胡云建艾效曼卓超苏丹虹郭大文赵金英喻华黄湘宁刘文恩李艳明金炎邵春红徐雪松鄢超王山梅楚亚菲张利侠马娟周树平周艳朱镭孟晋华董方吕志勇胡芳芳沈瀚周万青贾伟李刚吴劲松卢月梅李继红段金菊康建邦马晓波郑燕萍郭如意朱焱陈运生孟青王世富胡雪飞沈继录汪瑞忠房华俞碧霞赵勇龚萍温开镇张贻荣刘江山廖龙凤顾洪芹姜琳贺雯薛顺虹冯佼岳春雷甘肃省人民医院检验科兰州730000 复旦大学附属华山医院北京协和医院新疆医科大学第一附属医院四川大学华西医院复旦大学附属儿科医院安徽医科大学第一附属医院华中科技大学同济医学院附属同济医院上海交通大学医学院附属瑞金医院中国医科大学附属第一医院天津医科大学总医院浙江大学医学院附属邵逸夫医院昆明医科大学第一附属医院内蒙古医科大学附属医院上海交通大学附属儿童医院北京医院广州医科大学附属第一医院哈尔滨医科大学附属第一医院四川省人民医院中南大学湘雅医院山东省立医院吉林大学中日联谊医院河南省人民医院陕西省人民医院江西省儿童医院山西省儿童医院首都医科大学附属北京儿童医院贵州省人民医院南京大学医学院附属鼓楼医院宁夏医科大学总医院深圳市人民医院河北医科大学第二医院山西医科大学第二医院厦门大学附属第一医院福建省泉州市第一医院深圳市儿童医院山东大学齐鲁儿童医院南昌大学第一附属医院安徽医科大学第四附属医院上海市浦东新区人民医院浙江省宁波市镇海龙赛医院湖北省秭归县人民医院福建省晋江市医院甘肃省金昌市中西医结合医院江西省赣县区人民医院山东省广饶县人民医院河南省辉县市人民医院辽宁省营口市经济技术开发区中心医院青海省互助县人民医院四川省邻水县人民医院吉林省九台区人民医院

目的了解2015—2021年CHINET中国细菌耐药监测网成员单位临床分离枸橼酸杆菌属的分布特点及其耐药性变迁情况。方法按照CHINET统一技术方案,采用纸片扩散法或自动化仪器法进行药敏试验,按CLSI 2021年版标准判读药敏结果,采用WHONET 5.6... 详细信息

目的了解2015—2021年CHINET中国细菌耐药监测网成员单位临床分离枸橼酸杆菌属的分布特点及其耐药性变迁情况。方法按照CHINET统一技术方案,采用纸片扩散法或自动化仪器法进行药敏试验,按CLSI 2021年版标准判读药敏结果,采用WHONET 5.6软件进行数据分析。结果2015—2021年共分离出枸橼酸杆菌属细菌12855株,其中弗劳地枸橼酸杆菌7925株,占61.65%,克氏枸橼酸杆菌2589株,占20.14%。7年间枸橼酸杆菌属细菌在全部细菌和肠杆菌目细菌中的检出占比呈上升趋势,2015年分别占0.76%和1.76%,2021年分别占0.94%和2.09%。科室来源主要为外科病房(32.33%±5.42%),其次为内科病房(26.92%±3.70%)。标本来源主要分离自尿液(34.15%±1.01%)及呼吸道(22.23%±2.09%)。2015—2021年枸橼酸杆菌属对氨苄西林耐药率有所升高,对其他抗菌药物耐药率均呈下降趋势;对亚胺培南和美罗培南耐药率分别从9.5%和8.3%下降到5.5%和5.8%,对环丙沙星、替加环素以及多黏菌素耐药率波动幅度较小;在所有枸橼酸杆菌属细菌中,弗劳地枸橼酸杆菌对各类抗菌药物耐药率最高。结论枸橼酸杆菌对多数临床常用抗菌药物耐药率呈下降趋势,应继续加强抗菌药物合理应用管理及细菌耐药监测,以遏制细菌耐药率回升。

关键词：细菌耐药性监测枸橼酸杆菌属细菌抗菌药物

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维普期刊数据库

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A practical community-based response strategy to interrupt Ebola transmission in sierra Leone, 2014–2015

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Infectious Diseases of Poverty 2016年第1期5卷 670-679页

作者： Zhong-Jie Li wen-Xiao Tu Xiao-Chun Wang Guo-qing Shi Zun-Dong yin Hai-Jun Su Tao Shen Da-Peng Zhang jian-Dong Li Shan Lv Chun-Li Cao Rui-Qian Xie Hong-Zhou Lu Rong-meng jiang Zheng Cao Zhi-Jie An Lei-Lei Li Jie Xu yan-wen Xiong Wei Zang Wei Zhang Hong-Wei Zhang wen-Sen Chen Hua Ling wen Xu jian Cai Huan-Jin Luo Xue-Sheng Xing Can-Jun Zheng Qiang Wei Xin-Xu Li mei Li Hai jiang Li-Quan Deng Ming-Quan Chen Xiang Huo Feng Xu Xue-Hui Lai Xi-Chen Bai Long-Jie Ye jian-yi Yao wen-wu yin jiao-Jin Sun Lin Xiao Fu-Qiang Liu Xiao-Qiang Liu Hong-Wei Fan zeng-Qiang Kou Ji-Kun Zhou Hao Zhang Da-Xin Ni Thomas TSamba qun Li Hong-Jie Yu Yu Wang Xiao-Feng Liang Division of Infectious Disease Key Laboratory of Surveillance and Early-warning on Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina Public Health Emergency Center Chinese Center for Disease Control and PreventionBeijingChina National Center for AIDS/STD Control and Prevention Chinese Center for Disease Control and PreventionBeijingChina Chinese Field Epidemiology Training Program Chinese Center for Disease Control and PreventionBeijingChina National Immunization Program Chinese Center for Disease Control and PreventionBeijingChina Bureau of Disease Prevention and Control National Health and Family Planning Commission of the People’s Republic of ChinaBeijingChina National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijingChina National Institute of Parasitic Disease Chinese Center for Disease Control and PreventionShanghaiChina Chinese Center for Health Education BeijingChina Department of Infectious Diseases Shanghai Public Health Clinical CenterShanghaiChina Beijing Ditan Hospital Capital Medical UniversityBeijingChina Health News BeijingChina National Institute for Communicable Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijingChina Department of Training Chinese Center for Health EducationBeijingChina Center for Infectious Diseases Beijing Youan HospitalCapital Medical UniversityBeijingChina Infection Management The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina Chongqing Municipal Center for Disease Control and Prevention ChongqingChina Yunnan Provincial Center for Disease Control and Prevention KunmingChina Division of Infectious Disease Control and Prevention Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina Guangdong Provincial Center for Disease Control and Prevention GuangzhouChina Division of Acute Infectious Disease Control and Prevention Hubei Provincial Center for Disease Control and PreventionW

Background:The Ebola virus disease spread rapidly in West Africa in 2014,leading to the loss of thousands of *** engagement was one of the key strategies to interrupt Ebola transmission,and practical community level measures needed to be explored in the field and tailored to the specific context of ***:First,community-level education on Ebola virus disease(EVD)prevention was launched for the community’s social mobilizers in six districts in Sierra Leone beginning in November ***,from January to May of 2015,in three pilot communities,local trained community members were organized to engage in implementation of EVD prevention and transmission interruption measures,by involving them in alert case report,contact tracing,and social *** epidemiological indicators of transmission interruption in three study communities were ***:A total of 6016 community social mobilizers from 185 wards were trained by holding 279 workshops in the six districts,and EVD message reached an estimated 631680 *** three pilot communities,72 EVD alert cases were reported,with 70.8%of them detected by trained local community members,and 14 EVD cases were finally *** tracing detected 64.3%of EVD *** median duration of community infectivity for the cases was 1 *** secondary attack rate was 4.2%,and no third generation of infection was *** health worker was infected,and no unsafe burial and noncompliance to EVD control measures were *** community-based measures were modeled to reduce 77 EVD cases,and the EVD-free goal was achieved four months earlier in study communities than whole country of Sierra ***: The community-based strategy of social mobilization and community engagement was effective in casedetection and reducing the extent of Ebola transmission in a country with weak health system. The successfullypractical experience to reduce the risk of Ebola transmission in the

关键词： Ebola virus disease Community engagement Health education Outbreak control

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