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Heat exposure and hospitalizations for chronic kidney disease in China: a nationwide time series study in 261 major Chinese cities
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作者 Fu-Lin wang Wan-Zhou wang +9 位作者 Fei-Fei Zhang Su-Yuan Peng Huai-Yu wang Rui Chen jin-wei wang Peng-Fei Li Yang wang Ming-Hui Zhao Chao Yang Lu-Xia Zhang 《Military Medical Research》 SCIE CAS CSCD 2024年第4期469-478,共10页
Background:Climate change profoundly shapes the population health at the global scale.However,there was still insufficient and inconsistent evidence for the association between heat exposure and chronic kidney disease... Background:Climate change profoundly shapes the population health at the global scale.However,there was still insufficient and inconsistent evidence for the association between heat exposure and chronic kidney disease(CKD).Methods:In the present study,we studied the association of heat exposure with hospitalizations for cause-specific CKD using a national inpatient database in China during the study period of hot season from 2015 to 2018.Standard time-series regression models and random-effects Meta-analysis were developed to estimate the city-specific and national averaged associations at a 7 lag-day span,respectively.Results:A total of 768,129 hospitalizations for CKD was recorded during the study period.The results showed that higher temperature was associated with elevated risk of hospitalizations for CKD,especially in sub-tropical cities.With a 1℃ increase in daily mean temperature,the cumulative relative risks(RR)over lag 0-7 d were 1.008[95% confidence interval(CI)1.003-1.012]for nationwide.The attributable fraction of CKD hospitalizations due to high temperatures was 5.50%.Stronger associations were observed among younger patients and those with obstructive nephropathy.Our study also found that exposure to heatwaves was associated with added risk of hospitalizations for CKD compared to non-heatwave days(RR=1.116,95%CI 1.069-1.166)above the effect of daily mean temperature.Conclusions:Short-term heat exposure may increase the risk of hospitalization for CKD.Our findings provide insights into the health effects of climate change and suggest the necessity of guided protection strategies against the adverse effects of high temperatures. 展开更多
关键词 Chronic kidney disease HOSPITALIZATION Climate change Temperature Time-series study
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Genetic instability of BRCA1 gene at locus D17S855 is related to clinicopathological behaviors of gastric cancer from Chinese population 被引量:6
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作者 Xue-Rong Chen Wei-Zhong Zhang +1 位作者 Xing-Qiu Lin jin-wei wang 《World Journal of Gastroenterology》 SCIE CAS CSCD 2006年第26期4246-4249,共4页
AIM: To investigate genetic instability of gene BRCA1 at locus D17S855, and their relationship with clinicopathological characteristics of gastric cancer in Chinese population. METHODS: Microsatellite instability (... AIM: To investigate genetic instability of gene BRCA1 at locus D17S855, and their relationship with clinicopathological characteristics of gastric cancer in Chinese population. METHODS: Microsatellite instability (MSI) and loss of heterozygosity (LOH) of gene BRCA1 at locus D17S855 were compared between 37 samples of gastric cancer and corresponding non-cancerous gastric tissue. RESULTS: MSI at locus D17S855 was positive in 7 of 37 samples of gastric cancer (18.95%). MSI had a close relationship with TNM staging but no relation with lymph node metastasis, histological type or tumor differentiation. MSI positive frequency in TNM Ⅰ + Ⅱ (31.58%, 6/19) was much higher than that in TNM Ⅲ+ Ⅳ (5.56%, 1/18), (P 〈 0.05). LOH positive rate was 18.92% (7/37). LOH had no relationship to histological type, tumor differentiation or lymph node metastasis, but LOH positive rate in TNM Ⅲ+ Ⅳ was 33.33% (6/18), much higher than that in TNM Ⅰ + Ⅱ ( 5.26%, 1/19), (P 〈 0.05). BRCA1 protein was expressed in 14 of 37 samples of gastric cancer. The positive rates of BRCA1 protein in TNM Ⅰ + Ⅱ and TNM Ⅲ+ Ⅳ were 57.89% and 16.67%, respectively, (P 〈 0.05). The positive rate of BRCA1 protein was 77.78% in high differentiation samples, 30.77% in middle differentiation and 12.50% in lower differentiation samples, (P 〈 0.05). CONCLUSION: MSI of BRCA1 gene could be used as a molecular marker in early phases of sporadic gastric cancer in Chinese population. LOH occurs at later period of gastric cancer, therefore, it could be used as prognostic factor. 展开更多
关键词 Gastric cancer BRCA1 gene Microsatellite instability Loss of heterozygosity
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CEPC Technical Design Report 被引量:2
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作者 Waleed Abdallah Tiago Carlos Adorno de Freitas +1111 位作者 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 Jianing Dong Jing Dong Lan Dong Mingyi Dong Xu Dong Yipei Dong Yubing Dong Milos Dordevic Marco Drewes Mingxuan Du Mingxuan Du Qianqian Du Xiaokang Du Yanyan Du Yong Du Yunfei Du Chun-Gui Duan Zhe Duan Yahor Dydyshka Ulrik Egede Walaa Elmetenawee Yun Eo Ka Yan Fan Kuanjun Fan Yunyun Fan Bo Fang Shuangshi Fang Yuquan Fang Ada Farilla Riccardo Farinelli Muhammad Farooq Angeles Faus Golfe Almaz Fazliakhmetov Rujun Fei Bo Feng Chong Feng Junhua Feng Xu Feng Zhuoran Feng Zhuoran Feng Luis Roberto Flores Castillo Etienne Forest Andrew Fowlie Harald Fox Hai-Bing Fu Jinyu Fu Benjamin Fuks Yoshihiro Funakoshi Emidio Gabrielli Nan Gan Li Gang Jie Gao Meisen Gao Wenbin Gao Wenchun Gao Yu Gao Yuanning Gao Zhanxiang Gao Yanyan Gao Kun Ge Shao-Feng Ge Zhenwu Ge Li-Sheng Geng Qinglin Geng Chao-Qiang Geng Swagata Ghosh Antonio Gioiosa Leonid Gladilin Ti Gong Stefania Gori Quanbu Gou Sebastian Grinstein Chenxi Gu Gerardo Guillermo Joao Guimaraes da Costa Dizhou Guo Fangyi Guo Jiacheng Guo Jun Guo Lei Guo Lei Guo Xia Guo Xin-Heng Guo Xinyang Guo Yun Guo Yunqiang Guo Yuping Guo Zhi-Hui Guo Alejandro Gutierrez-Rodriguez Seungkyu Ha Noman Habib Jan Hajer Francois Hammer Chengcheng Han Huayong Han Jifeng Han Liang Han Liangliang Han Ruixiong Han Yang Han Yezi Han Yuanying Han Tao Han Jiankui Hao Xiqing Hao Xiqing Hao Chuanqi He Dayong He Dongbing He Guangyuan He Hong-Jian He Jibo He Jun He Longyan He Xiang He Xiao-Gang He Zhenqiang He Klaus Heinemann Sven Heinemeyer Yuekun Heng Maria A.Hernandez-Ruiz Jiamin Hong Yuenkeung Hor George W.S.Hou Xiantao Hou Xiaonan Hou Zhilong Hou Suen Hou Caishi Hu Chen Hu Dake Hu Haiming Hu Jiagen Hu Jun Hu Kun Hu Shouyang Hu Yongcai Hu Yu Hu Zhen Hu Zhehao Hua Jianfei Hua Chao-Shang Huang Fa Peng Huang Guangshun Huang Jinshu Huang Ke Huang Liangsheng Huang Shuhui Huang Xingtao Huang Xu-Guang Huang Yanping Huang Yonggang Huang Yongsheng Huang Zimiao Huang Chen Huanyuan Changgi Hua Jiaqi Hui Lihua Huo Talab Hussain Kyuyeong Hwang Ara loannisian Munawar Iqbal Paul Jackson Shahriyar Jafarzade Haeun Jang Seoyun Jang Daheng Ji Qingping Ji Quan Ji Xiaolu Ji Jingguang Jia Jinsheng Jia Xuewei Jia Zihang Ja Cailian Jiang Han Ren Jiang Houbing Jiang Jun Jiang Xiaowei Jiang Xin Jiang Xuhui Jiang Yongcheng Jiang Zhongjian Jiang Cheng Jiang Ruiqi Jiao Dapeng Jin Shan Jin Song Jin Yi Jin Junji Jis Sunghoon Jung Goran Kacarevic Eric Kajfasz Lidia Kalinovskaya Aleksei Kampf Wen Kang Xian-Wei Kang Xiaolin Kang Biswajit Karmakar Zhiyong Ke Rijeesh Keloth Alamgir Khan Hamzeh Khanpour Khanchai Khosonthongkee KhanchaiKhosonthongkee Bobae Kim Dongwoon Kim Mi Ran Kim Minsuk Kim Sungwon Kim On Kim Michael Klasen Sanghyun Ko Ivan Koop Vitaliy Kornienko Bryan Kortman Gennady Kozlov Shiqing Kuang Mukesh Kumar Chia Ming Kuo Tsz Hong Kwok Fran cois Sylvain Ren Lagarde Pei-Zhu Lai Imad Laktineh Xiaofei Lan Zuxiu Lan Lia Lavezzi Justin Lee Junghyun Lee Sehwook Lee Ge Lei Roy Lemmon longxiang Leng Sze Ching Leung Hai Tao Li Bingzhi Li Bo Li Bo Li Changhong Li Chao Li Cheng Li Cheng Li Chunhua Li Cui Li Dazhang Li Dikai Li Fei Li Gang Li Gang Li Gang Li Gaosong Li Haibo Li Haifeng Li Hai-Jun Li Haotian Li Hengne Li Honglei Li Huijing Li Jialin Li Jingyi Li Jinmian Li Jun Li Leyi Li Liang Li Ling Li Mei Li Meng Li Minxian Li Pei-Rong Li Qiang Li Shaopeng Li Shenghe Li Shu Li Shuo Li Teng Li Tiange Li Tong Li Weichang Li Weidong Li Wenjun Li Xiaoling Li Xiaomei Li Xiaonan Li Xiaoping Li Xiaoting Li Xin Li Xinqiang Li Xuekang Li Yang Li Yanwei Li Yiming Li Ying Li Ying-Ying Li Yonggang Li Yonglin Li Yufeng Li Yuhui Li Zhan Li Zhao Li Zhiji Li Tong Li Lingfeng Li Fei Li Jing Liang Jinhan Liang Zhijun Liang Guangrui Liao Hean Liao Jiajun Liao Libo Liao Longzhou Liao Yi Liao Yipu Liao Ayut Limphirat AyutLimphirat Tao Lin Weiping Lin Yufu Lin Yugen Lin Beijiang Liu Bo Liu Danning Liu Dong Liu Fu-Hu Liu Hongbang Liu Huangcheng Liu Hui Liu Huiling Liu Jia Liu Jia Liu Jiaming Liu Jianbei Liu Jianyi Liu Jingdong Liu Jinhua Liu Kai Liu Kang Liu Kun Liu Mengyao Liu Peng Liu Pengcheng Liu Qibin Liu Shan Liu Shidong Liu Shuang Liu Shubin Liu Tao Liu Tao Liu Tong Liu Wei Liu Xiang Liu Xiao-Hai Liu Xiaohui Liu Xiaoyu Liu Xin Liu Xinglin Liu Xingquan Liu Yang Liu Yanlin Liu Yao-Bei Liu Yi Liu Yiming Liu Yong Liu Yonglu Liu Yu Liu Yubin Liu Yudong Liu Yulong Liu Zhaofeng Liu Zhen Liu Zhenchao Liu Zhi Liu Zhi-Feng Liu Zhiqing Liu Zhongfu Liu Zuowei Liu Mia Liu Zhen Liu Xiaoyang Liu Xinchou Lou Cai-Dian Lu Jun-Xu Lu Qiu Zhen Lu Shang Lu Shang Lu Wenxi Lu Xiaohan Lu Yunpeng Lu Zhiyong Lu Xianguo Lu Wei Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Arslan Lukanov Jinliang Luo Tao Luo xiaoan Luo Xiaofeng Luo Xiaolan Luo Jindong Lv Feng Lyu Xiao-Rui Lyu Kun-Feng Lyu Ande Ma Hong-Hao Ma Jun-Li Ma Kai Ma Lishuang Ma Na Ma Renjie Ma Weihu Ma Xinpeng Ma Yanling Ma Yan-Qing Ma Yongsheng Ma Zhonghui Ma Zhongjian Ma Yang Ma Mousam Maity Lining Mao Yanmin Mao Yaxian Mao Aure lien Martens Caccia Massimo Luigi Maria Shigeki Matsumoto Bruce Mellado Davide Meloni Lingling Men Cai Meng Lingxin Meng Zhenghui Mi Yuhui Miao Mauro Migliorati Lei Ming Vasiliki A.Mitsou Laura Monaco Arthur Moraes Karabo Mosala Ahmad Moursy Lichao Mu Zhihui Mu Nickolai Muchnoi Daniel Muenstermann DanielMuenstermann Pankaj Munbodh William John Murray Jerome Nanni Dmitry Nanzanov Changshan Nie Sergei Nikitin Feipeng Ning Guozhu Ning Jia-Shu Niu Juan-Juan Niu Yan Niu Edward Khomotso Nkadimeng Kazuhito Ohmi Katsunobu Oide Hideki Okawa Mohamed Ouchemhou Qun Ouyang Daniele Paesani Carlo Pagani Stathes Paganis Collette Pakuza Jiangyang Pan Juntong Pan Tong Pan Xiang Pan Papia Panda Saraswati Pandey Mila Pandurovic Rocco Paparella Roman Pasechnik Emilie Passemar r Hua Pei Xiaohua Peng Xinye Peng Yuemei Peng Jialun Ping Ronggang Ping Souvik Priyam Adhya Baohua Qi Hang Qi Huirong Qi Ming Qi Sen Qian Zhuoni Qian Congfeng Qiao Guangyou Qin Jiajia Qin Laishun Qin Liqing Qin Qin Qin Xiaoshuai Qin Zhonghua Qin Guofeng Qu Antonio Racioppi Michael Ramsey-Musolf Shabbar Raza Vladimir Rekovic Jing Ren Jirgen Reuter Tania Robens Giancarlo Rossi Manqi Ruan Manqi Ruan Leonid Rumyantsev Min Sang Ryu Renat Sadykov Minjing Sang Juan Jose Sanz-Cillero Miroslav Saur Nishil Savla Michael A.Schmidt Daniele Sertore Ron Settles Peng Sha Ding-Yu Shao Ligang Shao Hua-Sheng Shao Xin She Chuang Shen Hong-Fei Shen Jian-Ming Shen Peixun Shen Qiuping Shen Zhongtao Shen Shuqi Sheng Haoyu Shi Hua Shi Qi Shi Shusu Shi Xiaolei Shi Xin Shi Yukun Shi Zhan Shi Ian Shipsey Gary Shiu Chang Shu Zong-Guo Si Andrei Sidorenkov Ivan Smiljanc Aodong Song Huayang Song Jiaojiao Song Jinxing Song Siyuan Song Weimin Song Weizheng Song Zhi Song Shashwat Sourav Paolo Spruzzola Feng Su Shengsen Su Wei Su Shufang Su Yanfeng Sui Zexuan Sui Michael Sullivan Baiyang Sun Guoqiang Sun Hao Sun Hao-Kai Sun Junfeng Sun Liang Sun Mengcheng Sunl Pengfei Sun Sichun Sun Xianjing Sun Xiaohu Sun Xilei Sun Xingyang Sun Xin-Yuan Sun Yanjun Sun Yongzhao Sun Yue Sun Zheng Sun Zheng Sun Narumon Suwonjandee Elsayed Tag Eldin Biao Tan Bo Tang Chuanxiang Tang Gao Tang Guangyi Tang Jian Tang Jingyu Tang Liang Tang Ying'Ao Tang Junquan Tao Abdel Nasser Taw fik Geoffrey Taylor Valery Telnov Saike Tian Riccardo Torre Wladyslaw Henryk Trzaska Dmitri Tsybychev Yanjun Tu Shengquan Tuo Michael Tytgat Ghalib Ul Islam Nikita Ushakov German Valencia Jaap Velthuis Alessandro Vicini Trevor Vickey Ivana Vidakovic Henri Videau Raymond Volkas Dmitry Voronin Natasa Vukasinovic Xia Wan Xuying Wan Xiao wang Anqing wang Bin wang Chengtao wang Chuanye wang Ci wang Dayong wang Dou wang En wang Fei wang Fei wang Guanwen wang Guo-Li wang Haijing wang Haolin wang Jia wang Jian wang Jianchun wang Jianli wang Jiawei wang Jin wang jin-wei wang Joseph wang Kechen wang Lechun wang Lei wang Liguo wang Lijiao wang Lu wang Meng wang Na wang Pengcheng wang Qian wang Qun wang Shu Lin wang Shudong wang Taofeng wang Tianhong wang Tianyang wang Tong wang Wei wang Wei wang Xiaolong wang Xiaolong wang Xiaoning wang Xiao-Ping wang Xiongfei wang Xujian wang Yaping wang Yaqian wang Yi wang Yiao wang Yifang wang Yilun wang Yiwei wang You-Kai wang Yuanping wang Yuexin wang Yuhao wang Yu-Ming wang Yuting wang Zhen wang Zhigang wang Weiping wang Zeren Simon wang Biao wang Hui wang Lian-Tao wang Zihui wang Zirui wang Jia wang Tong wang Daihui Wei Shujun Wei Wei Wei Xiaomin Wei Yuanyuan Wei Yingjie Wei Liangjian Wen Xuejun Wen Yufeng Wen Martin White Peter Williams Zef Wolffs William John Womersley Baona Wu Bobing Wu Guanjian Wu Jinfei Wu Lei Wu Lina Wu Linghui Wu Minlin Wu Peiwen Wu Qi Wu Qun Wu Tianya Wu Xiang Wu Xiaohong Wu Xing-Gang Wu Xuehui Wu Yaru Wu Yongcheng Wu Yuwen Wu Zhi Wu Xin Wu Lei Xia Ligang Xia Shang Xia Benhou Xiang Dao Xiang Zhiyu Xiang Bo-Wen Xiao Chu-Wen Xiao Dong Xiao Guangyan Xiao Han Xiao Meng Xiao Ouzheng Xiao Rui-Qing Xiao Xiang Xiao Yichen Xiao Ying Xiao Yu Xiao Yunlong Xiao Zhenjun Xiao Hengyuan Xiao Nian Xie Yuehong Xie Tianmu Xin Ye 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Hao Zeng Ming Zeng Jian Zhai Jiyuan Zhai Xin Zhe Zhai Xi-Jie Zhan Ben-Wei Zhang Bolun Zhang Di Zhang Guangyi Zhang Hao Zhang Hong-Hao Zhang Huaqiao Zhang Hui Zhang Jialiang Zhang Jianyu Zhang Jianzhong Zhang Jiehao Zhang Jielei Zhang Jingru Zhang Jinxian Zhang Junsong Zhang Junxing Zhang Lei Zhang Lei Zhang Liang Zhang Licheng Zhang Liming Zhang Linhao Zhang Luyan Zhang Mengchao Zhang Rao Zhang Shulei Zhang Wan Zhang Wenchao Zhang Xiangzhen Zhang Xiaomei Zhang Xiaoming Zhang Xiaoxu Zhang Xiaoyu Zhang Xuantong Zhang Xueyao Zhang Yang Zhang Yang Zhang Yanxi Zhang Yao Zhang Ying Zhang Yixiang Zhang Yizhou Zhang Yongchao Zhang Yu Zhang Yuan Zhang Yujie Zhang Yulei Zhang Yumei Zhang Yunlong Zhang Zhandong Zhang Zhaoru Zhang Zhen-Hua Zhang Zhenyu Zhang Zhichao Zhang Zhi-Qing Zhang Zhuo Zhang Zhiqing Zhang Cong Zhang Tianliang Zhang Luyan Zhang Guang Zhao Hongyun Zhao Jie Zhao Jingxia Zhao Jingyi Zhao Ling Zhao Luyang Zhao Mei Zhao Minggang Zhao Mingrui Zhao Qiang Zhao Ruiguang Zhao Tongxian Zhao Yaliang Zhao Ying Zhao Yue Zhao Zhiyu Zhao Zhuo Zhao Alexey Zhemchugov Hongjuan Zheng Jinchao Zheng Liang Zheng Ran Zheng shanxi zheng Xu-Chang Zheng wang Zhile Weicai Zhong Yi-Ming Zhong Chen Zhou Daicui Zhou Jianxin Zhou Jing Zhou Jing Zhou Ning Zhou Qi-Dong Zhou Shiyu Zhou Shun Zhou Sihong Zhou Xiang Zhou Xingyu Zhou Yang Zhou Yong Zhou Yu-Feng Zhou Zusheng Zhou Demin Zhou Dechong Zhu Hongbo Zhu Huaxing Zhu Jingya Zhu Kai Zhu Pengxuan Zhu Ruilin Zhu Xianglei Zhu Yingshun Zhu Yongfeng Zhu Xiao Zhuang Xuai Zhuang Mikhail Zobov Zhanguo Zong Cong Zou Hongying Zou 《Radiation Detection Technology and Methods》 CSCD 2024年第1期I0003-I0016,1-1091,共1105页
The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 3... The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The 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 factory.In 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 bosons.Increasing 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 magnitude.This 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 aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s. 展开更多
关键词 initiated EXCEEDING PRECISE
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Mineral and Bone Disorder and Its Association with Cardiovascular Parameters in Chinese Patients with Chronic Kidney Disease 被引量:20
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作者 Chu Zhou Fang wang +2 位作者 jin-wei wang Lu-Xia Zhang Ming-Hui Zhao 《Chinese Medical Journal》 SCIE CAS CSCD 2016年第19期2275-2280,共6页
Background:Mineral and bone disorder (MBD),especially hyperphosphatemia,is an independently risk factor for adverse prognosis in patients with chronic kidney disease (CKD).However,CKD-MBD among Chinese population... Background:Mineral and bone disorder (MBD),especially hyperphosphatemia,is an independently risk factor for adverse prognosis in patients with chronic kidney disease (CKD).However,CKD-MBD among Chinese population was poorly studied.This study aimed to investigate the status of MBD and its association with cardiovascular parameters in Chinese patients with predialysis CKD.Methods:Chinese Cohort Study of Chronic Kidney Disease (C-STRIDE) is a prospective multicenter cohort study involving predialysis CKD patients in China.Markers of MBD,including serum phosphorus,calcium,and intact parathyroid hormone,were measured in baseline samples at the patients&#39; entry.The association between serum phosphorus and abdominal aortic calcification (AAC),left ventricular hypertrophy (LVH) were examined by logistic regression models.Results:Altogether 3194 predialysis patients with mean estimated glomerular filtration of 51.8 ± 33.1 ml·min^- 1· 1.73 m^- 2 were included.The proportion of patients with hyperphosphatemia were 2.6%,2.9%,6.8%,and 27.1% in CKD Stages 3a,3b,4,and 5,respectively.Moreover,71.6% of the patients with hyperphosphatemia did not receive any phosphate-binder (PB).Lateral abdominal X-rays were obtained in 2280 patients,9.8% of the patients were diagnosed as having AAC.Altogether 2219 patients had data of echocardiography,and 13.2% of them were diagnosed with LVH.Multivariate logistic regression analysis showed that serum phosphorus was independently associated with the presence of AAC and LVH.Conclusions:In Chinese patients with CKD,the percentage of hyperphosphatemia is comparable to that of other countries while the usage of PBs is suboptimal.The prevalence of vascular calcification in Chinese patients is relatively lower compared with the Caucasian population. 展开更多
关键词 Chronic Kidney Disease HYPERPHOSPHATEMIA Left Ventricular Hypertrophy Mineral and Bone Disorder Vascular Calcification
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ncidence, Development, and Prognosis of Diabetic Kidney Disease in China: Design and Methods 被引量:12
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作者 Yao-Zheng Yang jin-wei wang +6 位作者 Fang wang Yun-Tao Wu Hai-Yan Zhao Min Chen Lu-Xia Zhang Shou-Ling Wu Ming-Hui Zhao 《Chinese Medical Journal》 SCIE CAS CSCD 2017年第2期199-202,共4页
Background: Although that glomerulonephritis is the major cause of end-stage renal disease in developing countries such as China, the increasing prevalence of diabetes has contributed to the changing spectrum of pred... Background: Although that glomerulonephritis is the major cause of end-stage renal disease in developing countries such as China, the increasing prevalence of diabetes has contributed to the changing spectrum of predialysis chronic kidney disease. Recent studies have revealed an increased proportion of patients with diabetic kidney disease (DKD) in hemodialysis populations in large cities in China. However, studies regarding the clinical phenotype of DKD in China are extremely limited. The incidence, development, and prognosis of diabetic kidney disease (INDEED) study aims to investigate the incidence, progression, and prognosis of DKD, as well as the associated genetic, behavioral, and environmental factors and biomarkers in patients with DKD in China. Methods: INDEED study is a prospective cohort study based on all participants with diabetes in the Kailuan study, which is a general population-based cohort study in northern China. Altogether, over 10,000 participants with diabetes will be followed biennially. Questionnaires documenting general characteristics, behavioral and environmental factors, and medical history will be administrated. Anthropometric measurements and a series of laboratory tests will be peribrmed in one central laboratory. The DNA, plasma, and urine samples of every participant will be stored in a biobank for future research. Conclusions: INDEED study will provide essential information regarding the clinical phenotype and prognosis of patients with DKD in China and will be valuable to identity factors and biomarkers associated with patients with DKD in China. 展开更多
关键词 BIOMARKER China Diabetic Kidney Disease INCIDENCE PROGRESSION
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Association between serum uric acid level and mortality in China 被引量:4
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作者 Dong-Yuan Chang jin-wei wang +2 位作者 Min Chen Lu-Xia Zhang Ming-Hui Zhao 《Chinese Medical Journal》 SCIE CAS CSCD 2021年第17期2073-2080,共8页
Background:Whether there is an association between serum uric acid(SUA)level and risk of mortality in the general population remains unclear.Based on the China National Survey of Chronic Kidney Disease linked to morta... Background:Whether there is an association between serum uric acid(SUA)level and risk of mortality in the general population remains unclear.Based on the China National Survey of Chronic Kidney Disease linked to mortality data,a population-based cohort study was performed to investigate the association between SUA level and all-cause mortality,cardiovascular disease(CVD)mortality,and cancer mortality in China.Methods:The survival status of participants in the cross-sectional survey was identified from January 1,2006 to December 31,2017.Only 33,268 individuals with complete SUA data among the 47,204 participants were included in the analysis.We determined the rates of all-cause mortality,CVD mortality,and cancer mortality.We used Cox proportional hazards regression models to evaluate the effect of the SUA level on mortality.Results:During a total of 297,538.4 person-years of follow-up,1282 deaths occurred.In the Cox proportional hazards regression model,the rate of all-cause mortality,CVD mortality,and cancer mortality had a U-shaped association with SUA levels only in men,whereas no significant associations were detected in women.For all-cause mortality in men,the multivariable-adjusted hazard ratios(HRs)in the first,second,and fourth quartiles compared with the third quartile were 1.31(95%confidence interval[CI]1.04–1.67),1.17(95%CI 0.92–1.47),and 1.55(95%CI 1.24–1.93),respectively.For CVD mortality,the corresponding HRs were 1.47(95%CI 1.00–2.18),1.17(95%CI 0.79–1.75),and 1.67(95%CI 1.16–2.43),respectively.For the cancer mortality rate,only a marginally significant association was detected in the fourth quartile compared with the third quartile with an HR of 1.43(95%CI 0.99–2.08).Conclusions:The association between SUA and mortality differed by sex.We demonstrated a U-shaped association with SUA levels for all-cause and CVD mortalities among men in China. 展开更多
关键词 Cardiovascular diseases Sex characteristics Serum uric acid China Cohort study MORTALITY POPULATION-BASED
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Exploring fermionic multiplet dark matter through precision measurements at the CEPC
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作者 Lin-Qing Gao Xiao-Jun Bi +2 位作者 jin-wei wang Qian-Fei Xiang Peng-Fei Yin 《Chinese Physics C》 SCIE CAS CSCD 2022年第9期159-172,共14页
New physics could be explored through loop effects using the precision measurements at the Circular Electron Positron Collider(CEPC)owing to its clean collision environment and high luminosity.In this paper,we focus o... New physics could be explored through loop effects using the precision measurements at the Circular Electron Positron Collider(CEPC)owing to its clean collision environment and high luminosity.In this paper,we focus on two dark matter models that involve additional electroweak fermionic multiplets.We calculate their one-loop corrections in five processes,i.e.,e^(+)e^(-)→μ^(+)μ^(-),Zh,W^(+)W^(-),ZZ,and,Zγ,and investigate the corresponding signatures at the CEPC with the projected sensitivity.We observe that the detectable parameter regions of these processes are complementary.The combined analysis shows that the mass of dark matter m_(χ^(0)_(1))in these two models can be probed up to-150GeV and-450GeV,respectively,at a 95%confidence level. 展开更多
关键词 CEPC dark matter loop correction
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