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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

Zn^(2+)胁迫对小麦幼苗生理活性影响的研究

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农业环境科学学报 2007年第1期26卷 140-145页

作者：冯淑利邵云刘洋姜丽娜鲁旭阳侯小丽李春喜河南师范大学生命科学学院河南新乡453007

以郑州9023为供试材料,采用室内水培方法,研究了不同浓度Zn2(+0、30、60、120、240、360mg·L-1)对小麦幼苗生理活性的影响,初步阐明了Zn2+对小麦幼苗的毒害机理。结果表明,在Zn2+胁迫下,随处理浓度的升高,小麦幼苗叶片中超氧阴离子自由... 详细信息

以郑州9023为供试材料,采用室内水培方法,研究了不同浓度Zn2(+0、30、60、120、240、360mg·L-1)对小麦幼苗生理活性的影响,初步阐明了Zn2+对小麦幼苗的毒害机理。结果表明,在Zn2+胁迫下,随处理浓度的升高,小麦幼苗叶片中超氧阴离子自由基(O·2-)含量、丙二醛(MDA)含量、可溶性糖含量、抗坏血酸过氧化物酶(APX)及过氧化物酶(POD)活性均呈上升趋势,超氧化物歧化酶(SOD)活性呈先下降后上升的趋势;抗坏血酸(ASA)含量、过氧化氢酶(CAT)活性均呈现先上升后下降的趋势,可溶性蛋白和叶绿素含量呈下降趋势。对SOD、POD、CAT同工酶的聚丙烯酰胺凝胶电泳结果分析表明,正常情况下,小麦幼苗叶片主要表达Rf值(相对迁移率)分别为0.98、0.96、0.9、0.8、0.6、0.48的6条SOD同工酶带;POD同工酶带主要分为5区,至少包括10条同工酶酶带;CAT主要表达2条同工酶带。浓度小于120mg·L-1的Zn2+抑制SOD同工酶的表达,促进CAT同工酶的表达,浓度大于240mg·L-1的Zn2+促进SOD同工酶的表达,抑制CAT同工酶的表达,Zn2+诱导小麦幼苗中POD同工酶的表达。Zn2+没有诱导新的CAT、SOD和POD同工酶的表达。

关键词： Zn^2+ 小麦幼苗生理活性

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 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

Zn^(2+)胁迫下不同品种小麦籽粒萌发及幼苗Zn含量特征的研究

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西北农业学报 2006年第5期15卷 34-37,46页

作者：邵云鲁旭阳李春喜冯淑利侯小丽姜丽娜河南师范大学生命科学学院河南新乡453007

采用室内水培方法研究了不同浓度Zn2+胁迫对郑州9023、豫麦18、周麦16三个品种小麦籽粒萌发、幼苗生长的影响及幼苗Zn含量的分布特征,并对不同品种间的差异进行了分析。结果表明,随Zn2+胁迫浓度的增加,小麦籽粒的发芽势、发芽率、发芽... 详细信息

采用室内水培方法研究了不同浓度Zn2+胁迫对郑州9023、豫麦18、周麦16三个品种小麦籽粒萌发、幼苗生长的影响及幼苗Zn含量的分布特征,并对不同品种间的差异进行了分析。结果表明,随Zn2+胁迫浓度的增加,小麦籽粒的发芽势、发芽率、发芽指数、活力指数和幼苗的芽长、根长、芽重、根重均呈下降趋势,且Zn2+胁迫对小麦根的抑制作用明显大于对芽的抑制;同时小麦幼苗根和芽中Zn含量随胁迫浓度增大而增大;对不同品种分析发现,3个小麦品种籽粒对Zn2+胁迫的反应互不相同:郑州9023种子活力较高,从根向植株上端迁移Zn最少,对Zn胁迫耐受能力较强;周麦16种子活力低,但从根向植株上端迁移Zn较少,对Zn胁迫耐受能力最强;豫麦18种子活力虽然高,但从根向植株上端迁移Zn较多,对Zn胁迫耐受能力较差。

关键词： Zn 小麦萌发含量

As Zn复合污染对小麦幼苗生长及生理生化反应的影响

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农业环境科学学报 2006年第1期25卷 43-48页

作者：李春喜鲁旭阳邵云姜丽娜冯淑利李向力河南师范大学生命科学学院河南新乡453007

采用室内培养方法研究了As、Zn复合污染对小麦籽粒发芽及幼苗生理生化反应的影响。结果表明,低浓度Zn(≤100mg·L-1)对小麦生长起促进作用,但随处理浓度增大(300～500mg·L-1)对小麦的生长有明显的抑制作用,表现为发芽势、发芽率、芽长... 详细信息

采用室内培养方法研究了As、Zn复合污染对小麦籽粒发芽及幼苗生理生化反应的影响。结果表明,低浓度Zn(≤100mg·L-1)对小麦生长起促进作用,但随处理浓度增大(300～500mg·L-1)对小麦的生长有明显的抑制作用,表现为发芽势、发芽率、芽长、芽重、根长、根重均减小,叶绿素含量降低,α-淀粉酶活力降低,MDA含量增大;低浓度A(s10mg·L-1)对小麦生长起抑制作用,As浓度越大抑制作用越明显。两者复合处理,As浓度≤20mg·L-1时,As、Zn表现一定的拮抗作用,Zn的加入能够缓解As对小麦幼苗的毒害,促进小麦幼苗的生长及叶绿素含量和α-淀粉酶活力的提高,使小麦幼苗根和芽中As含量下降;当As浓度>20mg·L-1时,二者表现一定的协同作用,加剧了单一污染对小麦幼苗造成的毒害。

关键词： As Zn 小麦复合污染幼苗

基于个体化机器学习的原发性免疫性血小板减少症危重出血预测模型:一项全国前瞻性队列研究

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科学通报:英文版 2023年第18期68卷 2106-2114,M0004页

作者： Zhuo-Yu An Ye-Jun Wu Yu hou Heng Mei Wei-xia Nong Wen-Qian li Hu Zhou Ru feng Jian-Ping Shen Jun Peng Hai Zhou Yi liu Yong-Ping Song lin-Hua yang Mei-yun Fang Jian-Yong li yun-feng Cheng Peng liu Ya-Jing xu Zhao Wang Yi luo Zhen Cai Hui liu Jing-Wen Wang Juan li xi Zhang Zi-Min Sun xiao-Yu Zhu xin Wang Rong Fu liang Huang shao-Yuan Wang Tong-Hua yang li-Ping Su liang-Ming Ma xie-Qun Chen Dai-Hong liu Hong-xia Yao Jia feng Hong-Yu Zhang Ming jiang Ze-Ping Zhou Wen-Sheng Wang xu-liang Shen yangjin Baima Yue-Ying li Qian-Fei Wang Qiu-Sha Huang Hai-xia Fu xiao-lu Zhu yun He Qian jiang Hao jiang Jin lu xiang-Yu Zhao Ying-Jun Chang Tao Wu Yao-Zhu Pan lin Qiu Da Gao A-Rong Jin Wei li Su-Jun Gao Lei Zhang Ming hou xiao-Jun Huang xiao-Hui Zhang on behalf of the national Cooperative ITP Working Group Peking University People’s Hospital Peking University Institute of HematologyBeijing 100044China Collaborative Innovation Center of Hematology Peking UniversityBeijing 100044China Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation Beijing 100044China national Clinical Research Center for Hematologic Disease Beijing 100044China Department of Hematology Qilu HospitalCheeloo College of MedicineShandong UniversityJinan 250014China Institute of Hematology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074China Department of Hematology First Affiliated HospitalSchool of MedicineShihezi UniversityShihezi 832002China Department of Hematology Qinghai Provincial People’s HospitalXining 810007China Henan Cancer Hospital Affiliated Cancer Hospital of Zhengzhou UniversityHenan Institute of HematologyZhengzhou 450008China Department of Hematology Beijing HospitalBeijing 100044China Department of Hematology Zhejiang Provincial Hospital of Traditional Chinese MedicineHangzhou 310006China Department of Hematology Senior Department of Hematologythe Fifth Medical Center of PLA General HospitalBeijing 100044China Department of Hematology the Second Hospital of Shanxi Medical UniversityTaiyuan 030001China Department of Hematology Affiliated Zhongshan Hospital of Dalian UniversityDalian 116001China Department of Hematology The First Affiliated Hospital with Nanjing Medical University(Jiangsu Province Hospital)Nanjing 210029China Department of Hematology Zhongshan HospitalFudan UniversityShanghai 200032China Department of Hematology Xiangya HospitalCentral South UniversityChangsha 410008China Department of Hematology Beijing Friendship HospitalCapital Medical UniversityBeijing 100044China Institute of Hematology the First Affiliated HospitalZhejiang UniversityHangzhou 310058China Department of Hematology Beijing Tongren HospitalBeijing 100005China Department of Hematology The First Affiliated HospitalSun Yat-sen UniversityGuang

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者... 详细信息

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者致命出血事件的预测模型。本研究首次采用国际血栓与止血学会新提出的ITP致命出血标准,利用大样本数据开发了首个基于机器学习的在线应用,用于预测ITP患者的致命出血.研究中,我们使用中国各地大型多中心数据进行开发,并对全国39家医疗中心进行为期一年的外部测试,得到了较好的训练、验证和测试数据集预测能力该基于新算法的便捷网络工具能够快速识别ITP患者的出血风险,辅助临床决策,有望未来降低不良事件的发生。

关键词： Critical bleeding Severe bleeding Immune thrombocytopenia Machine learning Prediction model

Anti-cyclic citrullinated peptide antibody predicts the development of rheumatoid arthritis in patients with undifferentiated arthritis

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Chinese Medical Journal 2019年第24期132卷 2899-2904页

作者： chun li Yan Zhang Hui Song Jie Gao Dong-Bao Zhao Qi Zhu Dong-Yi He li Wang xiang-Pei li xu-Dong liu Wei-Guo xiao xin-Yu Wu Hua-xiang Wu Wei Tu shao-xian Hu xin Wang Zhi-Jun li Zhi-Min lu Zhan-yun Da Bo liang xiao-Min liu Jin-Wei Zhao ling li feng Han Wu-Fang Qi Wei Wei xu Ma Zhen-Bin li Gui-Min Zheng feng-xiao Zhang Yi li You-lian Wang Guang-Hui ling Jin-Wei Chen xiao-Qiang hou Jing Zhang Qing-Ping Chen Chang-lian liu Yan Zhang Jia-shun Zeng Qing-Hua Zou Yong-Fei Fang Yin Su Zhan-Guo li Department of Rheumatology and Immunology Peking University People's HospitalBeijing 100044China Department of Rheumatology and Immunology Beijing Jishuitan HospitalBeijing 100035China Department of Rheumatology and Immunology Changhai HospitalShanghai 200433China Department of Rheumatology Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western MedicineShanghai 200052China Department of Rheumatology and Immunology Anhui Provincial HospitalHefeiAnhui 230001China Department of Rheumatology and Immunology The First Hospital of China Medical UniversityShenyangLiaoning 110001China Department of Rheumatology The Second Affiliated Hospital of Zhejiang University School of MedicineHangzhouZhejiang 310009China Department of Rheumatology and Immunology Tongji HospitalWuhanHubei 430030China Department of Rheumatology The First Affiliated Hospital of Bengbu Medical CollegeBengbuAnhui 233004China Department of Rheumatology and Immunology Affiliated Hospital of Nantong UniversityNantongJiangsu 226001China Department of Rheumatology and Immunology The Hospital of Shunyi District BeijingBeijing 101300China Department of Infection and Immunology Tianjin Union Medical CenterTianjin 300121China Department of Rheumatology and Immunology Tianjin First Central HospitalTianjin 300192China Department of Rheumatology and Immunology Tianjin Medical University General HospitalTianjin 300052China Department of Rheumatology and Immunology Peace HospitalShijiazhuangHebei 050000China Department of Rheumatology and Immunology Hebei General HospitalShijiazhuangHebei 050051China Department of Rheumatology Jiangxi Provincial People's HospitalNanchangJiangxi 330006China Division of Rheumatology and Immunology The Second Xiangya Hospital of Central South UniversityChangshaHunan 410011China Department of Rheumatology and Immunology The First College of Clinical Medical Science of China Three Gorges University&Yichang Central People's HospitalYichangHubei 443003China Department of Rheu

Background:Clinical outcomes of undifferentiated arthritis(UA)are diverse,and only 40%of patients with UA develop rheumatoid arthritis(RA)after 3 *** predictive markers at disease onset for further intervention is ***,our objective was to analyze the clinical outcomes of UA and ascertain the predictors for RA ***:We performed a prospective,multi-center study from January 2013 to October 2016 among Chinese patients diagnosed with UA in 22 tertiary-care *** and serological parameters were obtained at ***-up was undertaken in all patients every 12 weeks for 2 *** factors of disease progression were identified using multivariate Cox proportional hazards ***:A total of 234 patients were recruited in this study,and 17(7.3%)patients failed to follow up during the *** the 217 patients who completed the study,83(38.2%)patients went into *** patients who developed RA had a higher rheumatoid factor(RF)-positivity(42.9%vs.16.8%,χ^2=8.228,P=0.008),anti-cyclic citrullinated peptide(CCP)antibodypositivity(66.7%vs.10.7%,χ^2=43.897,Plusion:As an independent predictor of RA,anti-CCP antibody should be tested at disease onset in all patients with UA.

关键词： Anti-cyclic citrullinated peptide antibody Arthritis,Rheumatoid Rheumatoid factor Undifferentiated arthritis

Sub-percent precision measurement of neutrino oscillation parameters with JUNO

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Chinese Physics C 2022年第12期46卷 28-49页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga Hao Cai xiao Cai Yanke Cai Zhiyan Cai Riccardo Callegari Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Chi Chan Jinfan Chang yun Chang Guoming Chen Pingping Chen Po-An Chen shaomin Chen xurong Chen Yixue Chen Yu Chen Zhiyuan Chen Zikang Chen Jie Cheng Yaping Cheng Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Ran Du shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei li-Cheng feng Qichun feng Richard Ford Amélie Fournier Haonan Gan feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov Minghao Gu xiaofei Gu Yu Gu Mengyun Guan Yuduo Guan Nunzio Guardone Cong Guo Jingyuan Guo Wanlei Guo xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera YuenKeung Ho Yerevan Physics Institute YerevanArmenia Universiélibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing Institute of Spacecraft Environment Engineering BeijingChina Beijing Normal University BeijingChina China Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North China Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of Chinese Academy of Sciences BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin Institute of Technology HarbinChina University of Science and Technology of China HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South China HengyangChina Wuyi University JiangmenChina Shandong University JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina nanjing University NanjingChina Guangxi University NanningChina East China University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina nankai University TianjinChina Wuhan University WuhanChina xi'an Jiaotong University Xi'anChina xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou

JUNO is a multi-purpose neutrino observatory under construction in the south of *** publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the *** sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite *** is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data *** the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering *** new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

关键词： neutrino oscillation reactor antineutrino precision measurement JUNO