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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

全国2 201所医院手术室护理管理现状调查及分析

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中华现代护理杂志 2024年第13期30卷 1688-1697页

作者：米湘琦郭莉高兴莲何丽徐梅宋玲李国宏陈肖敏常后婵李莉刘婷穆莉北京大学第三医院手术室北京100191 北京大学第三医院/延安市中医医院院长办公室延安716099 华中科技大学同济医学院附属协和医院手术室武汉430022 解放军总医院第一医学中心手术室北京100853 中国医学科学院北京协和医院手术室北京100730 首都医科大学附属北京安贞医院护理部北京100029 东南大学附属中大医院护理部南京210009 浙江省人民医院护理部杭州314408 广东省人民医院手术室广州519041 中国医科大学附属第一医院手术室沈阳110002 首都医科大学宣武医院手术室北京100053 北京大学第一医院手术室北京100034

目的了解我国手术室护理人力资源管理现状,为我国手术室护理管理、人力资源配置、护理教育与培训等提供参考依据。方法采用分层抽样法,于2021年7月采用自制的中华护理学会手术室护理人力资源调查问卷作为研究工具,对我国31个省、自治区... 详细信息

目的了解我国手术室护理人力资源管理现状,为我国手术室护理管理、人力资源配置、护理教育与培训等提供参考依据。方法采用分层抽样法,于2021年7月采用自制的中华护理学会手术室护理人力资源调查问卷作为研究工具,对我国31个省、自治区、直辖市的2201所医院的一般情况、手术工作量、人力资源配置、手术室管理、手术室信息化建设、护理教育与培训等内容进行调查。结果2201所医院中,三级医院1021所(46.39%)、二级医院1117所(50.75%)、一级及以下医院63所(2.86%)。手术间数量2056所,占93.41%;年手术例次数2万例的医院1991所,占90.46%;手术室护士的学历以本科学历为主(66.93%,43359/64780),本科及以上学历共占67.99%(44045/64780);职称以护师为主(42.66%,27632/64780);手术间数量∶手术室护士数量(中位数)为1∶2.43;78.96%(1738/2201)的医院手术室由护理部或医院管理。1479所(67.20%)医院手术室设立了麻醉恢复室,高于2016年调查的59.34%(1210所),差异有统计学意义(χ^(2)=226.701,P1)。手术室已开展岗位管理及能力分级管理的医院分别占74.69%(1644/2201)、87.87%(1934/2201);已开展日间手术及机器人手术的医院分别占47.80%(1052/2201)、7.68%(169/2201)。36.98%(814/2201)的医院已通过信息化评价体系认证;64.61%(1422/2201)的医院已使用手术室信息管理系统;医院手术室信息系统中有智能化功能的占整体医院的2.54%(56/2201);77.24%(1700/2201)的医院参与了手术室专科护士资质培训。结论截至2021年7月,我国大部分医院手术间数量2万例,手术室护士的学历和职称分别以本科、护师为主;>60%的医院设立了麻醉恢复室,且拥有手术室信息化管理系统。同时,我国医院手术室已广泛开展了岗位管理、能力分级管理等多元化护理管理模式。

关键词：横断面研究手术室护理管理人力资源岗位管理信息化

Spatial transcriptome unveils a discontinuous inflammatory pattern in proficient mismatch repair colorectal adenocarcinoma

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Fundamental Research 2023年第4期3卷 640-646页

作者： Rongxin Zhang Yu Feng Wenjuan Ma Yanying guo mei Luo Young li Yupeng Zang Xuan Dong Shixun Lu Qiang guo Qumiao Xu Huanyi Chen Yijian li Longqi liu Ao Chen Gong Chen Xun Xu Department of Colorectal Surgery Sun Yat-sen University Cancer CentreGuangzhou 510060GuangdongChina BGI-Shenzhen Beishan Industrial ZoneShenzhen 518083China State key laboratory of Oncology in south china Guangzhou 510060GuangdongChina Collaborative Innovation Center of Cancer Medicine Guangzhou 510060GuangdongChina Intensive Care Unit Department Sun Yat-sen University Cancer CentreGuangzhou 510060GuangdongChina college of life sciences University of Chinese Academy of SciencesBeijing 100049China Department of Pathology Sun Yat-sen University Cancer CentreGuangzhou 510060GuangdongChina Shenzhen Bay laboratory Shenzhen 518000China Department of Biology University of CopenhagenCopenhagen DK-2200Denmark guangdong provincial key laboratory of Genome Read and Write Shenzhen 518120China

The preexistence of immune cells in the tumor microenvironment substantiates the efficacy of immunotherapy in cancer *** the complex intratumoral immune heterogeneity has been extensively studied in single cell resolution,hi-res spatial investigations are *** this study,we performed a spatial transcriptome analysis of 4 colorectal adenocarcinoma specimens and 2 paired distant normal specimens to identify the molecular pattern involved in a discontinuous inflammatory response in pathologically annotated cancer *** on the location of spatially varied gene expression,we unmasked the spatially-varied immune ecosystem and identified the locoregional“warmed-up”immune response in predefined“cold”tumor with substantial infiltration of immune ***“warmed-up”immune profile was found to be associated with the in-situ copy number variance and the tissue remodeling ***,“warmed-up”signature genes indicated improved overall survival in CRC patients obtained from TCGA database.

关键词： Colorectal adenocarcinoma Mismatch repair Inflammation Spatial transcriptomics Tumor microenvironment

Investigation of active-region doping on InAs/GaSb long wave infrared detectors

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Chinese Physics B 2020年第4期29卷 516-522页

作者： Su-Ning Cui Dong-Wei Jiang Ju Sun Qing-Xuan Jia Nong li Xuan Zhang Yong li Fa-Ran chang guo-Wei Wang Ying-Qiang Xu Zhi-Chuan Niu State key laboratory for Superlattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China college of Materials Science and Opto-Electronic Technology University of Chinese Academy of SciencesBeijing 100049China School of Energy and Environment Science Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology(Ministry of Education)Provincial Key Laboratory of Optoelectronic Information TechnologyYunnan Normal UniversityKunming 650092China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Beijing Academy of Quantum Information sciences Beijing 100193China

The eight-band κ·p model is used to establish the energy band structure model of the type-II InAs/GaSb superlattice detectors with a cut-off wavelength of 10.5μm,and the best composition of M-structure in this type of device is calculated *** addition,we have also experimented on the devices designed with the best performance to investigate the effect of the active region p-type doping temperature on the quantum efficiency of the *** results show that the modest active region doping temperature(Be:760℃)can improve the quantum efficiency of the device with the best performance,while excessive doping(Be:>760℃)is not conducive to improving the photo *** the best designed structure and an appropriate doping concentration,a maximum quantum efficiency of 45% is achieved with a resistance-area product of 688?·cm^2,corresponding to a maximum detectivity of 7.35×10^11cm·Hz^1/2/W.

关键词： long-wavelength barrier design absorption region doping

High-density lipoprotein regulates angiogenesis by long non-coding RNA HDRACA

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Signal Transduction and Targeted Therapy 2023年第9期8卷 4320-4337页

作者： Zhi-Wei Mo Yue-Ming Peng Yi-Xin Zhang Yan li Bi-Ang Kang Ya-Ting Chen Le li Mary GSorci-Thomas Yi-Jun lin Yang Cao Si Chen Ze-Long liu Jian-Jun Gao Zhan-Peng Huang Jia-guo zhou Mian Wang guang-Qi chang Meng-Jie Deng Yu-Jia liu Zhen-Sheng Ma Zuo-Jun Hu Yu-Gang Dong Zhi-Jun Ou Jing-Song Ou Division of Cardiac Surgery Cardiovascular Diseases InstituteThe First Affiliated HospitalSun Yat-sen UniversityGuangzhouChina National-guangdong Joint Engineering laboratory for Diagnosis and Treatment of Vascular Diseases NHC Key Laboratory of Assisted Circulation(Sun Yat-sen University)Guangdong Provincial Engineering and Technology Center for Diagnosis and Treatment of Vascular DiseasesGuangzhouChina Division of Vascular Surgery The First Affiliated HospitalSun Yat-sen UniversityGuangzhouChina Division of Hypertension and Vascular Diseases Department of CardiologyHeart CenterThe First Affiliated HospitalSun Yat-sen UniversityGuangzhouChina Medical college of Wisconsin MilwaukeeWIUSA Center for Translational Medicine Institute of Precision MedicineThe First Affiliated HospitalSun Yat-sen UniversityGuangzhouChina Department of Cardiology Heart CenterThe First Affiliated HospitalSun Yat-sen UniversityGuangzhouChina Department of Pharmacology Cardiac and Cerebral Vascular Research CenterZhongshan School of Medicine of Sun Yat-sen UniversityGuangzhouChina guangdong provincial key laboratory of Brain Function and Disease Zhongshan School of MedicineSun Yat-sen UniversityGuangzhou 510080P.R.China

normal high-density lipoprotein(nHDL)can induce angiogenesis in healthy ***,HDL from patients with coronary artery disease undergoes various modifications,becomes dysfunctional(dHDL),and loses its ability to promote ***,we identified a long non-coding RNA,HDRACA,that is involved in the regulation of angiogenesis by *** this study,we showed that nHDL downregulates the expression of HDRACA in endothelial cells by activating WW domain-containing E3 ubiquitin protein ligase 2,which catalyzes the ubiquitination and subsequent degradation of its transcription factor,Kruppel-like factor 5,via sphingosine 1-phosphate(S1P)receptor *** contrast,dHDL with lower levels of S1P than nHDL were much less effective in decreasing the expression of *** was able to bind to Ras-interacting protein 1(RAIN)to hinder the interaction between RAIN and vigilin,which led to an increase in the binding between the vigilin protein and proliferating cell nuclear antigen(PCNA)mRNA,resulting in a decrease in the expression of PCNA and inhibition of *** expression of human HDRACA in a hindlimb ischemia mouse model inhibited the recovery of *** together,these findings suggest that HDRACA is involved in the HDL regulation of angiogenesis,which nHDL inhibits the expression of HDRACA to induce angiogenesis,and that dHDL is much less effective in inhibiting HDRACA expression,which provides an explanation for the decreased ability of dHDL to stimulate angiogenesis.

关键词： angiogenesis lipoprotein inhibited

Genome size evolution of the extant lycophytes and ferns

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plant Diversity 2022年第2期44卷 141-152页

作者： Fa-guo Wang Ai-Hua Wang Cheng-Ke Bai Dong-mei Jin li-Yun Nie AJ Harris Le Che Juan-JuanWang Shi-Yu li Lei Xu Hui Shen Yu-Feng Gu Hui Shang Lei Duan Xian-Chun Zhang Hong-Feng Chen Yue-Hong Yan key laboratory of plant Resources Conservation and Sustainable Utilization Guangdong Provincial Key Laboratory of Applied BotanySouth China Botanical GardenChinese Academy of SciencesGuangzhou510650China college of life sciences Shaanxi Normal UniversityXi'an710062China Eastern china Conservation Centre for Wild Endangered plant Resources Shanghai Chenshan Botanical GardenShanghai201602China key laboratory of Environment change and Resources Use in Beibu Gulf Ministry of EducationNanning Normal UniversityNanning530001China Department of Biology Oberlin CollegeOberlinOH44074USA State key laboratory of Systematic and Evolutionary Botany Institute of BotanyChinese Academy of SciencesBeijing100093China key laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization the National Orchid Conservation Center of China and the Orchid Conservation&Research Center of Shenzhen518114ShenzhenChina life Science and Technology college Harbin Normal UniversityHarbin150025China

Ferns and lycophytes have remarkably large ***,little is known about how their genome size evolved in fern *** explore the origins and evolution of chromosome numbers and genome size in ferns,we used flow cytometry to measure the genomes of 240 species(255 samples)of extant ferns and lycophytes comprising 27 families and 72 genera,of which 228 species(242 samples)represent new *** analyzed correlations among genome size,spore size,chromosomal features,phylogeny,and habitat type preference within a phylogenetic *** also applied ANOVA and multinomial logistic regression analysis to preference of habitat type and genome *** the phylogeny,we conducted ancestral character reconstruction for habitat types and tested whether genome size changes simultaneously with shifts in habitat *** found that 2 C values had weak phylogenetic signal,whereas the base number of chromosomes(x)had a strong phylogenetic ***,our analyses revealed a positive correlation between genome size and chromosome traits,indicating that the base number of chromosomes(x),chromosome size,and polyploidization may be primary contributors to genome expansion in ferns and *** sizes in different habitat types varied significantly and were significantly correlated with habitat types;specifically,multinomial logistic regression indicated that species with larger 2 C values were more likely to be *** habitat is inferred to be ancestral for both extant ferns and lycophytes,whereas transitions to other habitat types occurred as the major clades *** in habitat types appear be followed by periods of genomic *** on these results,we inferred that habitat type changes and multiple whole-genome duplications have contributed to the formation of large genomes of ferns and their allies during their evolutionary history.

关键词： Genome size Ferns Chromosome numbers Habitat type Whole-genome duplications Evolution

Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.chang W.L.chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen M.L.Chen S.J.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.Q.Chen Z.J.Chen Z.Y.Chen S.K.Choi X.Chu G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.Q.Deng Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Fang S.S.Fang W.X.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng Y.T.Feng K.Fischer M.Fritsch C.D.Fu J.L.Fu Y.W.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck B.Ding X.X.Ding Y.Ding Y.Ding J.Dong L.Y.Dong M.Y.Dong X.Dong M.C.Du S.X.Du Z.H.Duan P.Egorov Y.H.Fan J.Fang JA.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan Z.L.Guan A.Q.guo L.B.guo M.J.guo R.P.guo Y.P.guo A.Guskov J.Gutierrez K.L.Han T.T.Han X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou Z.L.Hou B.Y.Hu H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang X.T.Huang Y.P.Huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad J.Jackson S.Janchiv J.H.Jeong Q.Ji Q.P.Ji W.Ji X.B.Ji X.L.Ji Y.Y.Ji X.Q.Jia Z.K.Jia D.Jiang H.B.Jiang P.C.Jiang S.S.Jiang T.J.Jiang X.S.Jiang Y.Jiang J.B.Jiao J.K.Jiao Z.Jiao S.Jin Y.Jin M.Q.Jing X.M.Jing T.Johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui A.Kupsc W.K\"uhn J.J.Lane P.Larin L.Lavezzi T.T.Lei Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.li C.li C.H.li Cheng li D.M.li F.li G.li H.li H.B.li H.J.li H.N.li Hui li J.R.li J.S.li K.li L.J.li L.K.li Lei li M.H.li P.R.li Q.M.li Q.X.li R.li S.X.li T.li W.D.li W.G.li X.li X.H.li X.L.li X.Y.li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang university Beijing 100191China Bochum Ruhr-university D-44780 BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon university PittsburghPennsylvania 15213USA Central china normal university Wuhan 430079China Central south university Changsha 410083China china Center of Advanced Science and Technology Beijing 100190China china university of Geosciences Wuhan 430074China Chung-Ang university Seoul06974Republic of Korea COMSATS university Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan university Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany guangxi normal university Guilin 541004China guangxi university Nanning 530004China Hangzhou normal university Hangzhou 310036China Hebei university Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan normal university Xinxiang 453007China Henan university Kaifeng 475004China Henan university of Science and Technology Luoyang 471003China Henan university of Technology Zhengzhou 450001China Huangshan college Huangshan 245000China Hunan normal university Changsha 410081China Hunan university Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana university BloomingtonIndiana 47405USA INFN laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Inner Mongolia university Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(1260)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2(ππ)_(S)are observed in both *** the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

关键词： BESIII D^(0)meson decays amplitude analysis CP-even fraction

Prevalence, awareness, treatment, and control of hypertension in the non-dialysis chronic kidney disease patients

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Chinese Medical Journal 2013年第12期126卷 2276-2280页

作者： ZHENG Ying CAI guang-yan CHEN Xiang-mei FU Ping CHEN Jiang-hua DING Xiao-qiang YU Xue-qing liN Hong-li liU Jian XIE Ru-juan WANG li-ning NI Zhao-hui liU Fu-you YIN Ai-ping XING chang-ying WANG li SHI Wei liU Jian-she HE Ya-ni DING guo-hua li Wen-ge WU guang-li MIAO li-ning CHEN Nan SU Zhen mei chang-lin ZHAO Jiu-yang GU Yong BAI Yun-kai LUO Hui-min liN Shan CHEN Meng-hua GONG li YANG Yi-bin YANG Xiao-ping li Ying WAN Jian-xin WANG Nian-song li Hai-ying XI Chun-sheng HAO li XU Yan FANG Jing-ai liU Bi-cheng li Rong-shan WANG Rong ZHANG Jing-hong WANG Jian-qin LOU Tan-qi SHAO Feng-min mei Feng liU Zhi-hong YUAN Wei-jie SUN Shi-ren ZHANG ling zhou Chun-hua CHEN Qin-kai JIA Shun-lian GONG Zhi-feng GUAN guang-ju XIA Tian ZHONG liang-bao Department of Nephrology State key Laboratory of Kidney Disease Chinese PLA General Hospital Beijing 100853 China Nephrology Institute of the Chinese People's liberation Army Chinese People's Liberation Army Key Laboratory of Nephrology Beijing 100853 China Department of Nephrology West China Hospital of Sichuan University Chengdu Sichuan 610041 China Department of Nephrology First Affiliated Hospital School of Medicine Zhejiang University Hangzhou Zhejiang 310003 China Department of Nephrology Zhongshan Hospital Fudan University Shanghai 200032 China Department of Nephrology First Affiiated Hospital of Sun Yat-sen University Guangzhou Guangdong 510080 China Department of Nephrology First Affiliated Hospital of Dalian Medical University Dalian Liaoning 116011 China Department of Nephrology First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang 830054 China Department of Nephrology First Affiliated Hospital of Harbin Medical University Harbin Heilongjiang 150001 China Department of Nephrology First Afftiated Hospital of China Medical University Shenyang Liaoning 110001 China Department of Nephrology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200025 China Department of Nephrology Second Xiangya Hospital Central South University Changsha Hunan 410000 China Department of Nephrology First Affiliated Hospital of Medical College Xi'an Jiaotong University Xi'an Shaanxi 710061 China Department of Nephrology First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital) Nanjing Jiangsu 210029 China Department of Nephrology Sichuan Provincial People's Hospital Chengdu Sichuan 610072 China Department of Nephrology Guangdong Provincial People's Hospital Guangzhou Guangdong 510030 China Department of Nephrology Affliated Xiehe Hospital Tongji Medical College Huazhong Science and Technology University Wuhan Hubei 430022 China Department of Nephrology Daping Hospital Third Military Medi

Background Data on the epidemiology of hypertension in Chinese non-dialysis chronic kidney disease （CKD） patients are *** aim of the present study was to investigate the prevalence,awareness,treatment,and control of hypertension in the non-dialysis CKD patients through a nationwide,multicenter study in *** The survey was performed in 61 tertiary hospitals in 31 provinces,municipalities,and autonomous regions in china （except Hong Kong,Macao,and Taiwan）.Trained physicians collected demographic and clinical data and measured blood pressure （BP） using a standardized *** was defned as systolic BP ≥140 mmHg and/or diastolic BP ≥90 mmHg,and/or use of antihypertensive *** 〈140/90 mmHg and 〈130/80 mmHg were used as the 2 thresholds of hypertension *** multivariate logistic regression with adjustment for sex and age,we analyzed the association between CKD stages and uncontrolled hypertension in non-dialysis CKD *** The analysis included 8927 non-dialysis CKD *** prevalence,awareness,and treatment of hypertension in non-dialysis CKD patients were 67.3%,85.8%,and 81.0%,*** hypertensive CKD patients,33.1% and 14.1% had controlled BP to 〈140/90 mmHg and 〈130/80 mmHg,*** successive CKD stages,the prevalence of hypertension in non-dialysis CKD patients increased,but the control of hypertension decreased （P〈0.001）.When the threshold of BP 〈130/80 mmHg was considered,the risk of uncontrolled hypertension in CKD 2,3a,3b,4,and 5 stages increased 1.3,1.4,1.4,2.5,and 4.0 times compared with CKD 1 stage,respectively （P〈0.05）.Using the threshold of 〈140/90 mmHg,the risk of uncontrolled hypertension increased in advanced stages （P〈0.05）.Conclusions The prevalence of hypertension Chinese non-dialysis CKD patients was high,and the hypertension control was *** successive CKD stages,the risk of uncontrolled hypertension increased.

关键词： non-dialysis chronic kidney disease chronic kidney disease stages hypertension epidemiology

Lung-protective Ventilation in Patients with Brain Injury： A Multicenter Cross-sectional Study and Questionnaire Survey in china

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Chinese Medical Journal 2016年第14期129卷 1643-1651页

作者： Xu-Ying Luo Ying-Hong Hu Xiang-Yuan Cao Yan Kang li-Ping liu Shou-Hong Wang Rong-guo Yu Xiang-You Yu Xia Zhang Bao-Shan li Zeng-Xiang Ma Yi-Bing Weng Heng Zhang De-chang Chen Wei Chen Wen-Jin Chen Xiu-mei Chen Bin Du mei-li Duan Jin Hu Yun-Feng Hoang Gui-Jun Jia li-Hong li Yu-Min liang Bing-Yu Qin Xian-Dong Wang Jian Xiong li-mei Yan Zheng-Ping Yang Chen-Ming Dong Dong-Xin Wang Qing-Yuan Zhan Shuang-lin FU lin Zhao Qi-Bing Huang Ying-guang Xie Xiao-Bo Huang guo-Bin Zhang Wang-Bin Xu Yuan Xu Yaling liu He-ling Zhao Rong-Qing Sun Ming Sun Qing-Hong Cheng Xin Qu Xiao-Feng Yang Ming Xu Zhong-Hua Shi Han Chen Xuan He Yan-lin Yang guang-Qiang Chen Xiu-mei Sun Jian-Xin zhou Department of Critical Care Medicine Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou Zhejiang 310009 China Department of Critical Care Medicine General Hospital of Ningxia Medical University Yinchuan Ningxia 750004 China Department of Critical Care Medicine West China Hospital Sichuan University Chengdu Sichuan 610041 China Neurological Intensive Care Unit Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Guangdong General Hospital Guangzhou Guangdong 510000 China Surgical Intensive Care Unit Fujian Province Hospital Fuzhou Fujian 350000 China Department of Critical Care Medicine First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang 830054 China Department of Critical Care Medicine Bethune International Peace Hospital Shijiazhuang Hebei 050000 China Department of Critical Care Medicine Yuncheng Central Hospital Yuncheng Shanxi 044000 China Department of Emergency and Critical Care Medicine Cangzhou People's Hospital Cangzhou Hebei 061000 China Department of Critical Care Medicine Beijing Luhe Hospital Capital Medical University Beijing 101100 China Department of Critical Care Medicine First Hospital of China Medical University Shenyang Liaoning 110000 China Department of Critical Care Medicine Shanghai Changzheng Hospital Shanghai 200000 China Department of Critical Care Medicine Beijing Shijitan Hospital Capital Medical University Beijing 100038 China Department of Critical Care Medicine Xuanwu Hospital Capital Medical University Beijing 100053 China Department of Critical Care Medicine Miyun County Hospital Beijing 100038 China Medical Intensive Care Unit Peking Union Medical College Hospital Beijing 101500 China Department of Critical Care Medicine Beijing Friendship Hospital Capital Medical University Beijing 100050 Chin

Background： Over the years, the mechanical ventilation （MV） strategy has changed worldwide. The aim of the present study was to describe the ventilation practices, particularly lung-protective ventilation （LPV）, among brain-injured patients in china. Methods： This study was a multicenter, 1-day, cross-sectional study in 47 Intensive Care Units （ICUs） across china. Mechanically ventilated patients （18 years and older） with brain injury in a participating ICU during the time of the study, including traumatic brain injury, stroke, postoperation with intracranial tumor, hypoxic-ischemic encephalopathy, intracranial infection, and idiopathic epilepsy, were enrolled. Demographic data, primary diagnoses, indications for MV, MV modes and settings, and prognoses on the 60th day were collected. Multivariable logistic analysis was used to assess factors that might affect the use of LPV. Results： A total of 104 patients were enrolled in the present study, 87 （83.7%） of whom were identified with severe brain injury based on a Glasgow Coma Scale 〈8 points. Synchronized intermittent mandatory ventilation （SIMV） was the most frequent ventilator mode, accounting for 46.2% of the entire cohort. The median tidal volume was set to 8.0 ml/kg （interquartile range [IQR], 7.0-8.9 ml/kg） of the predicted body weight; 50 （48.1%） patients received LPV. The median positive end-expiratory pressure （PEEP） was set to 5 cmH20 （IQR, 5-5 cmH20）. No PEEP values were higher than 10 cmH20. Compared with partially mandatory ventilation, supportive and spontaneous ventilation practices were associated with LPV. There were no significant differences in mortality and MV duration between patients subjected to LPV and those were not. Conclusions： Among brain-injured patients in china, SIMV was the most frequent ventilation mode. Nearly one-half of the brain-injured patients received LPV. Patients under supportive and spontaneous ventilation were more likely to receive LPV.

关键词： Brain Injury Epidemiology Lung-protective Ventilation Mechanical Ventilation