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Application of deep learning methods combined with physical background in wide field of view imaging atmospheric Cherenkov telescopes

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Nuclear Science and Techniques 2024年第4期35卷 208-220页

作者： Ao-Yan cheng hao Cai Shi chen Tian-Lu chen Xiang Dong You-liang Feng Qi Gao Quan-Bu Gou Yi-Qing guo Hong-Bo Hu Ming-Ming Kang hai-Jin li chen liu Mao-Yuan liu wei liu Fang-Sheng Min Chu-cheng pan Bing-Qiang Qiao Xiang-li Qian Hui-Ying Sun Yu-chang Sun Ao-Bo Wang Xu Wang Zhen Wang Guang-Guang Xin Yu-hua Yao Qiang Yuan Yi Zhang School of Physics and Technology Wuhan UniversityWuhan 430072China School of Physics and Astronomy Yunnan UniversityKunming 650091China Ministry of Education The Key Laboratory of Cosmic Rays(Tibet University)Lhasa 850000China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences 19 A Yuquan RoadShijingshan DistrictBeijing 100049China College of Physics Sichuan UniversityChengdu 610064China School of Intelligent Engineering Shandong Management UniversityJinan 250357China Tsung‑Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China Suzhou Aerospace Information Research Institute Suzhou 215123China College of Physics Chongqing UniversityNo.55 Daxuecheng South RoadHigh‑tech DistrictChongqing 401331China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210008China

The High Altitude Detection of Astronomical Radiation(HADAR)experiment,which was constructed in Tibet,China,combines the wide-angle advantages of traditional EAS array detectors with the high-sensitivity advantages of focused Cherenkov *** objective is to observe transient sources such as gamma-ray bursts and the counterparts of gravitational *** study aims to utilize the latest AI technology to enhance the sensitivity of HADAR *** datasets and models with distinctive creativity were constructed by incorporating the relevant physical theories for various *** models can determine the type,energy,and direction of the incident particles after careful *** obtained a background identification accuracy of 98.6%,a relative energy reconstruction error of 10.0%,and an angular resolution of 0.22°in a test dataset at 10 *** findings demonstrate the significant potential for enhancing the precision and dependability of detector data analysis in astrophysical *** using deep learning techniques,the HADAR experiment’s observational sensitivity to the Crab Nebula has surpassed that of MAGIC and *** energies below 0.5 TeV and remains competitive with conventional narrow-field Cherenkov telescopes at higher *** addition,our experiment offers a new approach for dealing with strongly connected,scattered data.

关键词： VHE gamma-ray astronomy HADAR Deep learning Convolutional neural networks

Chinese expert consensus on the diagnosis and treatment of balanoposthitis

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Chinese Medical Journal 2024年第13期137卷 1519-1521页

作者： li Zhang Amer A.A.Abdulrahman hao guo Jia’an Zhang Xinghua Gao weihua pan gang Wang Jinhua Xu Yuling Shi liuqing chen Hongxiang chen Songmei Geng Yuping Ran Hongwei Wang Xiaoyong Man Jianmin chang Furen Zhang litao Zhang Guangwen Yin Jianzhong Zhang wei Lai Zhibin Niu Hongkun Jiang haibo liu Yaolong chen Jianjian Wang Department of Dermatology The First Hospital of China Medical UniversityShenyangLiaoning 110001China Key Laboratory of Immunodermatology Ministry of Education and NHCNational Joint Engineering Research Center for Theranostics of Immunological Skin DiseasesShenyangLiaoning 110001China Department of Dermatology Chinese Academy of Medical Science and Peking Union Medical CollegeNanjingJiangsu 210042China Department of Dermatology Second Affiliated Hospital of Naval Medical UniversityShanghai 200003China Department of Dermatology Xijing HospitalFourth Military Medical UniversityXi’anShaanxi 710032China Department of Dermatology Huashan HospitalFudan UniversityShanghai 200040China Department of Dermatology Shanghai Skin Disease HospitalTongji University School of MedicineShanghai 200443China Department of Dermatology Wuhan No.1 HospitalWuhanHubei 430022China Department of Dermatology Huazhong University of Science and Technology Union Shenzhen HospitalShenzhenGuangdong 518052China Department of Dermatology Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’anShaanxi 710004China Department of Dermatovenereology West China HospitalSichuan UniversityChengduSichuan 610041China Department of Dermatology Huadong HospitalFudan UniversityShanghai 200040China Department of Dermatology Second Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiang 310009China Department of Dermatology Beijing HospitalBeijing 100730China Shandong Provincial Hospital for Skin Diseases&Shandong Provincial Institute of Dermatology and Venereology Shandong First Medical University&Shandong Academy of Medical SciencesJinanShandong 250061China Department of Dermatology Tianjin Academy of Traditional Chinese Medicine Affiliated HospitalTianjin 300120China Department of Dermatology The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Department of Dermatology Peking University People’s HospitalBeijing 100044 China Department of Dermatology Third Affi

Balanoposthitis(BP),a common male genitalia inflammation,is managed by clinicians from different specialties,including urology,pediatrics,dermatology,and *** to this diverse array of clinicians involved,there exists a lack of consistent,evidence-based recommendations for *** development of the consensus engaged 19 representative hospitals and it adhered to rigorous protocols,encompassing international registration(IPGRP-2021CN003)and the application of evidence grading criteria and recommendation standards[Appendix S1,Supplementary File,http://***/CM9/C42].Over the period from December 2020 to October 2022,consensus on 12 clinical issues was reached through comprehensive evidence searches and two iterations of Delphi surveys[Supplementary File,http://***/CM9/C42].

关键词： Delphi diagnosis rigorous

CEPC Technical Design Report

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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

STCF conceptual design report (Volume 1): Physics & detector

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Frontiers of physics 2024年第1期19卷 1-154页

作者： M.Achasov X.C.Ai L.P.An R.Aliberti Q.An X.Z.Bai Y.Bai O.Bakina A.Barnyakov V.Blinov V.Bobrovnikov D.Bodrov A.Bogomyagkov A.Bondar I.Boyko Z.H.Bu F.M.Cai H.Cai J.J.Cao Q.H.Cao X.Cao Z.Cao Q.chang K.T.Chao D.Y.chen H.chen H.X.chen J.F.chen K.chen L.L.chen P.chen S.L.chen S.M.chen S.chen S.P.chen W.chen X.chen X.F.chen X.R.chen Y.chen Y.Q.chen H.Y.cheng J.cheng S.cheng T.G.cheng J.P.Dai L.Y.Dai X.C.Dai D.Dedovich A.Denig I.Denisenko J.M.Dias D.Z.Ding L.Y.Dong W.H.Dong V.Druzhinin D.S.Du Y.J.Du Z.G.Du L.M.Duan D.Epifanov Y.L.Fan S.S.Fang Z.J.Fang G.Fedotovich C.Q.Feng X.Feng Y.T.Feng J.L.Fu J.Gao Y.N.Gao P.S.Ge C.Q.Geng L.S.Geng A.Gilman L.Gong T.Gong B.Gou W.Gradl J.L.Gu A.Guevara L.C.Gui A.Q.guo F.K.guo J.C.guo J.guo Y.P.guo Z.H.guo A.Guskov K.L.Han L.Han M.Han X.Q.hao J.B.He S.Q.He X.G.He Y.L.He Z.B.He Z.X.Heng B.L.Hou T.J.Hou Y.R.Hou C.Y.Hu H.M.Hu K.Hu R.J.Hu W.H.Hu X.H.Hu Y.C.Hu J.hua G.S.huang J.S.huang M.huang Q.Y.huang W.Q.huang X.T.huang X.J.huang Y.B.huang Y.S.huang N.Hüsken V.Ivanov Q.P.Ji J.J.Jia S.Jia Z.K.Jia H.B.Jiang J.Jiang S.Z.Jiang J.B.Jiao Z.Jiao H.J.Jing X.L.Kang X.S.Kang B.C.Ke M.Kenzie A.Khoukaz I.Koop E.Kravchenko A.Kuzmin Y.Lei E.Levichev C.H.li C.li D.Y.li F.li G.li G.li H.B.li H.li H.N.li H.J.li H.L.li J.M.li J.li L.li L.li L.Y.li N.li P.R.li R.H.li S.li T.li W.J.li X.li X.H.li X.Q.li X.H.li Y.li Y.Y.li Z.J.li H.liang J.H.liang Y.T.liang G.R.liao L.Z.liao Y.liao C.X.lin D.X.lin X.S.lin B.J.liu C.W.liu D.liu F.liu G.M.liu H.B.liu J.liu J.J.liu J.B.liu K.liu K.Y.liu K.liu L.liu Q.liu S.B.liu T.liu X.liu Y.W.liu Y.liu Y.L.liu Z.Q.liu Z.Y.liu Z.W.liu I.Logashenko Y.Long C.G.Lu J.X.Lu N.Lu Q.F.Lü Y.Lu Y.Lu Z.Lu P.Lukin F.J.Luo T.Luo X.F.Luo Y.H.Luo H.J.Lyu X.R.Lyu J.P.Ma P.Ma Y.Ma Y.M.Ma F.Maas S.Malde D.Matvienko Z.X.Meng R.Mitchell A.Nefediev Y.Nefedov S.L.Olsen Q.Ouyang P.Pakhlov G.Pakhlova X.pan Y.pan E.Passemar Y.P.Pei H.P.Peng L.Peng X.Y.Peng X.J.Peng K.Peters S.Pivovarov E.Pyata B.B.Qi Y.Q.Qi W.B.Qian Y.Qian C.F.Qiao J.J.Qin J.J.Qin L.Q.Qin X.S.Qin T.L.Qiu J.Rademacker C.F.Redmer H.Y.Sang Anhui University Hefei 230039China Beihang University Beijing 100191China Budker Institute of Nuclear Physics Novosibirsk 630090Russia CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China Cavendish Laboratory University of CambridgeJJ Thomson AveCambridge CB30HEUnited Kingdom Central China Normal University Wuhan 430079China Central South University Changsha 410083China China University of Geosciences Wuhan 430074China China University of Mining and Technology Xuzhou 221116China École Polytechnique Fédérale de Lausanne(EPFL) LausanneSwitzerland Fudan University Shanghai 200433China Goethe University Frankfurt D-60325 Frankfurt am MainGermany Guangxi Normal University Guilin 541004China Guangxi Uninversity Nanning 530004China Hangzhou Institute for Advanced Study UCASHangzhou 310024China Hebei Normal University Shijiazhuang 050024China Hebei University Baoding 071002China Hefei University of Technology Hefei 230601China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China High Energy Physics Center Chung-Ang UniversitySeoul 06974Korea Higher School of Economy 11 Pokrovsky Bulvar Moscow 109028Russia huangshan University Huangshan 245000China Hubei University of Automotive Technology Shiyan 442002China Hunan Normal University Changsha 410081China Hunan University of Science and Technology Xiangtan 411201China Hunan University Changsha 410082China Indiana University BloomingtonIndiana 47405USA Inner Mongolia University Hohhot 010021China Institute of Advanced Science Facilities Shenzhen 518107China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China Institute of Physics Academia SinicaTaipeiTaiwan 11529China Institute of Theoretical Physics Chinese Academy of SciencesBeijing 100190China Jilin University Changch

The superτ-charm facility(STCF)is an electron–positron collider proposed by the Chinese particle physics *** is designed to operate in a center-of-mass energy range from 2 to 7 GeV with a peak luminosity of 0.5×10^(35) cm^(–2)·s^(–1) or *** STCF will produce a data sample about a factor of 100 larger than that of the presentτ-charm factory—the BEPCII,providing a unique platform for exploring the asymmetry of matter-antimatter(charge-parity violation),in-depth studies of the internal structure of hadrons and the nature of non-perturbative strong interactions,as well as searching for exotic hadrons and physics beyond the Standard *** STCF project in China is under development with an extensive R&D *** document presents the physics opportunities at the STCF,describes conceptual designs of the STCF detector system,and discusses future plans for detector R&D and physics case studies.

关键词： electron–positron collider tau-charm region high luminosity STCF detector conceptual design

Significant loss of soil inorganic carbon at the continental scale

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National Science Review 2022年第2期9卷 13-20页

作者： Xiao-Dong Song Fei Yang hua-Yong Wu Jing Zhang De-cheng li Feng liu Yu-guo Zhao Jin-ling Yang Bing Ju Chong-Fa Cai Biao huang huai-Yu Long Ying Lu Yue-Yu Sui Qiu-Bing Wang Ke-Ning Wu Feng-Rong Zhang Ming-Kui Zhang Zhou Shi Wan-Zhu Ma gang Xin Zhi-Ping Qi Qing-Rui chang En Ci Da-gang Yuan Yang-Zhu Zhang Jun-Ping Bai Jia-Ying chen Jie chen Yin-Jun chen Yun-Zhong Dong Chun-Lan Han ling li li-Ming liu Jian-Jun pan Fu-Peng Song Fu-Jun Sun Deng-Feng Wang Tian-wei Wang Xiang-hua wei Hong-Qi Wu Xia Zhao Qing Zhou Gan-lin Zhang State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences College of Advanced Agricultural Sciences University of Chinese Academy of Sciences College of Resources and Environment Huazhong Agricultural University Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences College of Natural Resources and Environment South China Agricultural University Northeast Institute of Geography and Agroecology Chinese Academy of Sciences College of Land and Environment Shenyang Agricultural University School of Land Science and Technology China University of Geosciences College of Land Science and Technology China Agricultural University College of Environmental and Resource Sciences Zhejiang University Institute of Digital Agriculture Zhejiang Academy of Agricultural Sciences College of Agriculture Heilongjiang Bayi Agricultural University Tropical Crops Genetic Resources Institute Chinese Academy of Tropical Agricultural Sciences College of Natural Resources and Environment Northwest A & F University College of Resources and Environment Southwest University College of Resources Sichuan Agricultural University College of Resources and Environment Hunan Agricultural University Institute of Agricultural Product Quality Standard and Testing Research Tibet Academy of Agricultural and Animal Husbandry Sciences School of Agricultural Sciences Zhengzhou University Institute of Agriculture Environment and Resources Research Shanxi Academy of Agricultural Sciences College of Resources and Environment Henan Agricultural University College of Resources and Environment China Agricultural University College of Resources and Environmental Sciences Nanjing Agricultural University College of Resources and Environment Shandong Agricultural University Agricultural College Guangxi University College of Grassland and Environment Science Xinjiang Agricultural University College of Geographical Science Qinghai Normal University

Widespread soil acidification due to atmospheric acid deposition and agricultural fertilization may greatly accelerate soil carbonate dissolution and ***,to date,few studies have addressed these ***,we use meta-analysis and nationwide-survey datasets to investigate changes in soil inorganic carbon(SIC) stocks in *** observe an overall decrease in SIC stocks in topsoil(0-30 cm)(11.33 g C m-2yr-1) from the 1980 s to the 2010 *** SIC stocks have decreased by～8.99±2.24%(1.37±0.37 Pg C).The average SIC losses across China(0.046 Pg C yr-1) and in cropland(0.016 Pg C yr-1) account for～17.6%-24.0% of the terrestrial C sink and 57.1% of the soil organic carbon sink in cropland,*** deposition and climate change have profound influences on SIC *** estimate that～19.12%-19.47% of SIC stocks will be further lost by *** consumption of SIC may offset a large portion of global efforts aimed at ecosystem carbon sequestration,which emphasizes the importance of achieving a better understanding of the indirect coupling mechanisms of nitrogen and carbon cycling and of effective countermeasures to minimize SIC loss.

关键词： China soil inorganic carbon stocks global change carbonate soil acidification

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

2019~2021年河南省患儿血培养分离菌分布及耐药性分析

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中国合理用药探索 2024年第4期21卷 53-62页

作者：王健李轶马冰马琼韩云港高远陈甲李姝郭长城郭利敏赵亮孟高攀田育佼阙蔚鹏郭坤山秦辉孙瑞华张晓蕾胡冬梅张燕李玉霞王彦斌郭瑞娟孟玉娟常军玲张晓黎熊玲玲平煤神马集团总医院检验科平顶山467000 河南省人民医院郑州450003 河南省胸科医院郑州450008 永城市人民医院商丘476600 沁阳市人民医院焦作454550 黄河中心医院郑州450003 新乡市中心医院新乡453000 周口市中心医院周口466000 河南省第二人民医院郑州451191 南阳市中心医院南阳473005 河南省儿童医院郑州450012 许昌市中心医院许昌461000 郑州颐和医院郑州450018 黄河三门峡医院三门峡472000 濮阳市妇幼保健院濮阳457000 驻马店市第一人民医院驻马店463000 河南大学淮河医院开封475000 鹤煤总医院鹤壁458000 濮阳市人民医院濮阳457000 郑州大学附属洛阳中心医院洛阳471000 漯河市中心医院漯河462000 商丘市立医院商丘476000 信阳市中医院信阳464000

目的:了解河南地区患儿血液标本细菌构成情况及耐药性,为临床预防和治疗血流感染提供用药依据。方法:采用WHONET5.6软件,分析2019~2021年河南省临床微生物专科联盟221家单位上报的患儿血培养分离菌的分布及耐药性。结果:2019~2021年共... 详细信息

目的:了解河南地区患儿血液标本细菌构成情况及耐药性,为临床预防和治疗血流感染提供用药依据。方法:采用WHONET5.6软件,分析2019~2021年河南省临床微生物专科联盟221家单位上报的患儿血培养分离菌的分布及耐药性。结果:2019~2021年共收集患儿血标本非重复分离菌10901株,其中革兰阳性菌占73.1%,革兰阴性菌占26.9%。菌株数量排名前5位的是凝固酶阴性葡萄球菌、金黄色葡萄球菌、大肠埃希菌、肺炎链球菌和肺炎克雷伯菌。耐甲氧西林金黄色葡萄球菌(MRSA)的检出率为43.0%,青霉素耐药肺炎链球菌(PRSP)检出率为2.3%;大肠埃希菌对亚胺培南和美罗培南的耐药率分别为2.2%和2.3%,肺炎克雷伯菌对亚胺培南和美罗培南的耐药率分别为30.4%和28.9%,三级医院的肠杆菌耐药率整体高于二级医院。结论:河南省患儿血培养分离菌以革兰阳性菌为主,且二三级医院MRSA检出率普遍偏高。患儿血标本肺炎克雷伯菌对碳青霉烯类抗菌药物的耐药率呈逐步下降趋势,但仍处于较高水平,且三级医院高于二级医院。

关键词：儿童血流感染血培养耐药性病原菌

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黄河中下游沉积物对磷酸盐的吸附特征

环境科学 2008年第8期29卷 2137-2142页

作者：王晓丽潘纲包华影张宪伟陈灏郭博书中国科学院生态环境研究中心环境水质学国家重点实验室北京100085 北京师范大学化学学院北京100875 内蒙古师范大学化学与环境科学学院呼和浩特010022

研究了黄河中下游12个沉积物的临界磷平衡浓度(EPC0),以此判断沉积物是磷'源'还是磷'汇'.用修改后的Langmuir等温吸附模型对吸附实验数据进行了拟合,结果得到最大吸附容量(PAC),Langmuir吸附平衡常数(k).利用所得拟合参数通过公式计算... 详细信息

研究了黄河中下游12个沉积物的临界磷平衡浓度(EPC0),以此判断沉积物是磷'源'还是磷'汇'.用修改后的Langmuir等温吸附模型对吸附实验数据进行了拟合,结果得到最大吸附容量(PAC),Langmuir吸附平衡常数(k).利用所得拟合参数通过公式计算方法得到EPC0、原有交换态磷(NAP)以及固-液分配系数Kp值并考察了环境因子(pH、离子强度)对吸附作用的影响.沉积物的EPC0均大于上覆水体中的磷浓度,沉积物有向上覆水体释放磷的能力.吸附容量与总有机碳(TOC)含量有较好的正相关关系.pH9.7,吸附量略有增高.随着Ca2+离子强度的增加,沉积物对磷的吸附量减小.

关键词：黄河沉积物磷吸附

Data processing and data products from 2017 to 2019 campaign of astronomical site testing at Ali,Daocheng and Muztagh-ata

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Research in Astronomy and Astrophysics 2020年第6期20卷 109-130页

作者： Zi-huang Cao Jin-Xin hao Lu Feng Hugh RAJones Jian li Jing Xu li-Yong liu Teng-Fei Song Jian-Feng Wang hua-lin chen Yan-Jie Xue huang Shen Yong-Heng Zhao Zhao-Xiang Qi Jian-Rong Shi Yuan Tian Zheng Wang Xia Wang Jin-liang Hou Jin-Ming Bai Ji Yang Xu Zhou Yong-Qiang Yao Jia Yin Ali Esamdin Guang-Xin Pu Peng wei Chun-hai Bai guo-Jie Feng Lu Ma Xuan Zhang Yu liu Chong Pei Zhi-Xia Shen Yun-Ying Jiang Jian-Feng Tian Xian-Qun Zeng Zhi-gang Hou Xu Yang Jun-Bo Zhang Shi-Long liao Dong-wei Fan Yun-Fei Xu Jian-Ping Xiong Tai-Sheng Yan Xi Zhang chang-hua li Yi-Han Tao Si-cheng Yu Zhi-Song Cao Hong-Shuai Wang National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Centre for Astrophysics University of HertfordshireHatfieldUK School of Journalism Communication University of ChinaBeijing 100024China Nanjing Institute of Astronomical Optics&Technology Chinese Academy of SciencesNanjing 210042China Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China Yunnan Observatories Chinese Academy of SciencesKunming 650216China Purple Mountain Observatory Chinese Academy of SciencesNanjing 210033China Beijing Kaiyang Space Technology Co. LtdBeijing 100085China

Based on previous site testing and satellite cloud data,Ali,Daocheng and Muztagh-ata have been selected as candidate sites for the Large Optical/Infrared Telescope(LOT) in *** present the data collection,processing,management and quality analysis for our site testing based on using similar *** analyze meteorological data,seeing,background light,cloud and precipitable water vapor data from 2017 March 10 to 2019 March *** also investigated the relative usefulness of our all-sky camera data in comparison to that from the meteorological TERRA satellite data based on a night-by-night comparison of the correlation and consistency between *** find a 6% discrepancy arising from a wide range of factors.

关键词： LOT Site-selection-data processing