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Performance of the Prostate Health Index in predicting prostate biopsy outcomes among men with a negative digital rectal examination and transrectal ultrasonography

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Asian Journal of Andrology 2016年第4期18卷 633-638页

作者： Guo-Peng Yu Rong Na Ding-Wei Ye jun Qi Fang liu hai-Tao Chen yi-Shuo Wu Gui-ming Zhang jie-lin Sun Yao zhu li-Qun Huang shan-Cheng Ren De-Ke jiang S lilly Zheng hao-Wenjiang ying-hao Sun Qiang Ding Jianfeng Xu Fudan Institute of Urology Huashan Hospital Fudan University Shanghai China Department of Urology Huashan Hospital Fudan University Shanghai China Department of Urology Fudan University Shanghai Cancer Center and Department of Oncology Shanghai Medical College Fudan University Shanghai China Department of Urology Xinhua Hospital School of Medicine Shanghai Jiao Tong University Shanghai China State Key Laboratory of Genetic Engineering School of Life Salience Fudan University Shanghai China Center for Cancer Genomics Wake Forest School of Medicine Winston-Salem North Carolina USA Department of Urology Shanghai Changhai Hospital Second Military Medical University Shanghai China Program for Personalized Cancer Care NorthShore University HealthSystem Evanston IL USA.

The [-2]proPSA （p2PSA） and its derivatives, the p2PSA-to-free PSA ratio （%p2PSA）, and the Prostate Health Index （PHI） have greatly improved discrimination between men with and without prostate cancer （PCa） in prostate biopsies. However, little is known about their performance in cases where a digital rectal examination （DRE） and transrectal ultrasonography （TRUS） are negative. A prospective cohort of 261 consecutive patients in China with negative DRE and TRUS were recruited and underwent prostate biopsies. A serum sample had collected before the biopsy was used to measure various PSA derivatives, including total prostate-specific antigen （tPSA）, free PSA, and p2PSA. For each patient, the free-to-total PSA ratio （%fPSA）, PSA density （PSAD）, p2PSA-to-free PSA ratio （%p2PSA）, and PHI were calculated. Discriminative performance was assessed using the area under the receiver operating characteristic curve （AUC） and the biopsy rate at 91% sensitivity. The AUC scores within the entire cohort with respect to age, tPSA, %fPSA, PSAD, p2PSA, %p2PSA, and PHI were 0.598, 0.751, 0.646, 0.789, 0.814, 0.808, and 0.853, respectively. PHI was the best predictor of prostate biopsy results, especially in patients with a tPSA of 10.1-20 ng ml-1. Compared with other markers, at a sensitivity of 91%, PHI was the most useful for determining which men did not need to undergo biopsy, thereby avoiding unnecessary procedures. The use of PHI could improve the accuracy of PCa detection by predicting prostate biopsy outcomes among men with a negative DRE and TRUS in China.

关键词： [-2]proPSA prostate cancer Prostate Health Index prostate-specific antigen receiver operating curve

Measurement of the ^(232)Th(n,f)cross section in the 1-200 MeV range at the CSNS Back-n

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Nuclear Science and Techniques 2023年第8期34卷 142-153页

作者： Zhi-Zhou Ren yi-Wei Yang Yong-hao Chen Rong liu Bang-Jiao Ye jie Wen hai-Rui Guo Zi-jie Han Qi-Ping Chen Zhong-Wei Wen Wei-li Sun Han yi Xing-Yan liu Tao Ye jiang-Bo Bai Qi An jie Bao Yu Bao Ping Cao hao-Lei Chen Zhen Chen Zeng-Qi Cui Rui-Rui Fan Chang-qing Feng Ke-qing Gao Xiao-Long Gao Min-hao Gu Chang-Cai Han Guo-zhu He Yong-Cheng He Yang Hong yi-Wei Hu Han-Xiong Huang Xi-Ru Huang hao-Yu jiang Wei jiang Zhi-jie jiang Han-Tao Jing ling Kang Bo li Chao li Jia-Wen li Qiang li Xiao li Yang li jie liu Shu-Bin liu Ze Long Guang-yuan Luan Chang-jun Ning Meng-Chen Niu Bin-Bin Qi jie Ren Xi-Chao Ruan Zhao-Hui Song Kang Sun Zhi-Jia Sun Zhi-Xin tan Jing-Yu tang Xin-yi tang Bin-Bin Tian li-Jiao wang Peng-Cheng wang Zhao-Hui wang Xiao-Guang Wu Xuan Wu li-Kun Xie Xiao-Yun Yang li Yu Tao Yu Yong-Ji Yu Guo-Hui Zhang lin-hao Zhang Qi-Wei Zhang Xian-Peng Zhang Yu-liang Zhang Zhi-Yong Zhang Lu-Ping Zhou Zhi-hao Zhou Ke-jun zhu Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China Institute of Applied Physics and Computational Mathematics Beijing 100088China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230027China Key Laboratory of Nuclear data China Institute of Atomic EnergyBeijing 102413China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230027China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China State Key Laboratory of Particle Detection and Electronics Institute of High Energy PhysicsChinese Academy of SciencesBeijingChina Northwest Institute of Nuclear Technology Xi’an 710024China University of Chinese Academy of Sciences Beijing 100049China Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China

The ^(232)Th(n,f)cross section is very important in basic nuclear physics and applications based on the Th/U fuel *** the time-of-flight method and a multi-cell fast-fission ionization chamber,a novel measurement of the^(232)Th(n,f)cross sec-tion relative to^(235)U in the 1–200 MeV range was performed at the China Spallation Neutron Source Back-n white neutron source(Back-n).The fission event-neutron energy spectra of^(232)Th and^(235)U fission cells were measured in the single-bunch *** 232Th/235U fission cross-sectional ratios were obtained,and the measurement uncertainties were 2.5–3.7%for energies in the 2–20 MeV range and 3.6–6.2%for energies in the 20–200 MeV ***^(232)Th(n,f)cross section was obtained by introducing the standard cross section of^(235)U(n,f).The results were compared with those of previous theoreti-cal calculations,measurements,and *** measured 232Th fission cross section agreed with the main evaluation results in terms of the experimental uncertainty,and 232Th fission resonances were observed in the 1–3 MeV *** present results provide^(232)Th(n,f)cross-sectional data for the evaluation and design of Th/U cycle nuclear systems.

关键词： 232Th(n f)cross section Fast-fission ionization chamber Back-n white neutron source

Efficacy and safety of Shenyankangfu Tablet,a Chinese patent medicine,for primary glomerulonephritis:A multicenter randomized controlled trial

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Journal of Integrative Medicine 2021年第2期19卷 111-119页

作者： jie Wu Shu-wei Duan Hong-tao Yang Yue-yi Deng Wei li Ya-ni He Zhao-hui Ni Yong-li Zhan shan lin Zhi-yong Guo jun zhu Jing-ai Fang Xu-sheng liu li-hua wang Rong wang Nian-song wang Xiao-hong Cheng li-qun He Ping Luo Shi-ren Sun Ji-feng Sun Ai-ping yin Geng-ru jiang Hong-yu Chen Wen-hu liu Hong-li lin Meng liang Lu Ma ming Chen li-qun Song Jian Chen qing zhu Chang-ying Xing Yun li Ji-ning Gao Rong-shan li ying li hao Zhang ying Lu Qiao-ling Zhou jun-zhou Fu Qiang He Guang-yan Cai Xiang-mei Chen Department of Nephrology Chinese People’s Liberation Army General HospitalChinese People’s Liberation Army Institute of NephrologyState Key Laboratory of Kidney Diseases(2011DAV00088)National Clinical Research Center for Kidney DiseasesBeijing 100853China Department of Nephrology First Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjin 300192China Department of Nephrology Longhua HospitalShanghai University of Traditional Chinese MedicineShanghai 200032China Department of Nephrology Shandong University of Traditional Chinese Medicine Affiliated HospitalJinan 250011.Shandong ProvinceChina Department of Nephrology Daping HospitalArmy Medical UniversityChongqing 400042China Department of Nephrology Renji HospitalShanghai Jiao Tong UniversityShanghai 200127China Department of Nephrology Guang’anmen HospitalChina Academy of Traditional Chinese Medical SciencesBeijing 100053China Department of Nephrology Tianjin Medical University General HospitalTianjin 300052China Department of Nephrology Changhai Hospital of ShanghaiNaval Medical UniversityShanghai 200433China Department of Nephrology West China HospitalChengdu 610083Sichuan ProvinceChina Department of Nephrology First Affiliated Hospital of Shanxi Medical UniversityTaiyuan 030001Shanxi ProvinceChina Department of Nephrology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120Guangdong ProvinceChina Department of Nephrology Shanxi Medical University Second Affiliated HospitalTaiyuan 030001Shanxi ProvinceChina Department of Nephrology Shandong Provincial HospitalJinan 250021Shandong ProvinceChina Department of Nephrology and Rheumatology Affiliated Sixth People’s HospitalShanghai Jiao Tong UniversityShanghai 200233China Department of Nephrology Shaanxi Traditional Chinese Medicine HospitalXi'an 710003Shaanxi ProvinceChina Department of Nephrology Shuguang HospitalShanghai University of Traditional Chinese MedicineShanghai 200021China Department of Nephrology Jilin University Se

Background:Shenyankangfu Tablet(SYKFT)is a Chinese patent medicine that has been used widely to decrease proteinuria and the progression of chronic kidney ***:This trial compared the efficacy and safety of SYKFT,for the control of proteinuria in primary glomerulonephritis patients,against the standard drug,losartan ***,setting,participants and intervention:This was a multicenter,double-blind,randomized,controlled clinical *** glomerulonephritis patients,aged 18-70 years,with blood pressure≤140/90 mmHg,estimated glomerular filtration rate(eGFR)>45 mL/min per 1.73 ㎡,and 24-hour proteinuria level of 0.5-3.0 g,were recruited in 41 hospitals across 19 provinces in China and were randomly divided into five groups:SYKFT,losartan potassium 50 mg or 100 mg,SYKFT plus losartan potassium 50 mg or 100 *** outcome measu res:The primary outcome was change in the 24-hour proteinuria level,after 48 weeks of ***:A total of 735 participants were *** percent decline of urine protein quantification in the SYKFT group after 48 weeks was 8.78%±2.56%(P=0.006)more than that in the losartan 50 mg group,which was 0.51%±2.54%(P=1.000)less than that in the losartan 100 mg *** with the losartan potassium 50 mg group,the SYKFT plus losartan potassium 50 mg group had a 13.39%±2.49%(Ptan potassium 100 mg group,the SYKFT plus losartan potassium 100 mg group had a 9.77%±2.52%(P=0.001)greater reduction in urine *** a superiority threshold of 15%,neither was statistically ***,serum creatinine and serum albumin from the baseline did not change statistically *** average change in TCM syndrome score between the patients who took SYKFT(-3.00[-6.00,-2.00])and who did not take SYKFT(-2.00[-5.00,0])was statistically significant(P=0.003).No obvious adverse reactions were observed in any ***:SYKFT decreased the proteinur

关键词： Herbal medicine,Chinese Shenyankangfu Tablet Primary glomerulonephritis Randomized controlled trial Double blind Double dummy

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

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

Cell atlas of CCl_(4)-induced progressive liver fibrosis reveals stage-specific responses

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Zoological Research 2023年第3期44卷 451-466页

作者： Peng-Cheng Guo Jing Zuo Ke-Ke Huang Guang-Yao Lai Xiao Zhang Juan An Jin-Xiu li li li liang Wu yi-Ting lin Dong-Ye wang jiang-shan Xu Shi-jie hao Yang wang Rong-hai li Wen Ma Yu-Mo Song Chang liu Chuan-Yu liu Zhen dai Yan Xu Amar Deep Sharma Michael Ott qing Ou-Yang Feng Huo Rong Fan Yong-yin li Jin-lin Hou Giacomo Volpe Long-Qi liu Miguel A.Esteban yi-Wei Lai State Key Laboratory for Zoonotic Diseases Key Laboratory for Zoonosis Research of Ministry of EducationInstitute of ZoonosisCollege of Veterinary MedicineJilin UniversityChangchunJilin 130062China BGI-Hangzhou HangzhouZhejiang 310012China BGI-Shenzhen ShenzhenGuangdong 518083China Key Laboratory of Biological Targeting Diagnosis Therapy and Rehabilitation of Guangdong Higher Education InstitutesFifth Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong 510799China Laboratory of Integrative Biology Guangzhou Institutes of Biomedicine and HealthChinese Academy of SciencesGuangzhouGuangdong 510530China Joint School of life Sciences Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical UniversityGuangzhouGuangdong 510530China School of life Sciences Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui 230026China College of life Sciences University of Chinese Academy of SciencesBeijing 100049China Guangzhou Institutes of Biomedicine and Health Chinese Academy of SciencesGuangzhouGuangdong 510530China Biotherapy Centre Third Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510630China Department of Gastroenterology Hepatology and EndocrinologyHannover Medical SchoolHannover 30625Germany Department of Hepatobiliary Surgery and liver Transplant Center General Hospital of Southern Theater CommandGuangzhouGuangdong 510010China Department of Infectious Diseases Nanfang HospitalSouthern Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis ResearchGuangzhouGuangdong 510515China Hematology and Cell Therapy Unit IRCCS-Istituto Tumori‘Giovanni Paolo II’Bari 70124Italy Institute of Experimental Hematology Hannover Medical SchoolHannover 30625Germany

Chronic liver injury leads to progressive liver fibrosis and ultimately cirrhosis,a major cause of morbidity and mortality ***,there are currently no effective anti-fibrotic therapies available,especially for latestage patients,which is partly attributed to the major knowledge gap regarding liver cell heterogeneity and cellspecific responses in different fibrosis *** reveal the multicellular networks regulating mammalian liver fibrosis from mild to severe phenotypes,we generated a single-nucleus transcriptomic atlas encompassing 49919nuclei corresponding to all main liver cell types at different stages of murine carbon tetrachloride(CCl_(4))-induced progressive liver *** analysis distinguished the sequential responses to injury of hepatocytes,hepatic stellate cells and endothelial ***,we reconstructed the cell-cell interactions and gene regulatory networks implicated in these *** integrative analyses uncovered previously overlooked aspects of hepatocyte proliferation exhaustion and disrupted pericentral metabolic functions,dysfunction for clearance by apoptosis of activated hepatic stellate cells,accumulation of pro-fibrotic signals,and the switch from an anti-angiogenic to a pro-angiogenic program during CCl_(4)-induced progressive liver *** dataset thus constitutes a useful resource for understanding the molecular basis of progressive liver fibrosis using a relevant animal model.

关键词： liver fibrosis Toxicity Single-cell and single-nucleus RNA-sequencing Hepatocytes Hepatic stellate cells Angiogenesis Cell-cell interactions Gene regulatory networks

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

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

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