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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 {2.-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 {2.-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 892. 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

Advances in the Application of Perovskite Materials

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Nano-Micro Letters 2023年第10期15卷 334-381页

作者： lixiu zhang Luyao Mei Kaiyang Wang Yinhua Lv Shuai zhang Ya{2. lian {2.ke liu Zhiwei Ma guanjun {2. Qiang liu Shuaibo Zhai Shengli zhang Gengling liu ligang Yuan Bingbing Guo Ziming Chen Keyu wei Aqiang liu Shizhong Yue guangda Niu Xiyan Pan Jie Sun Yong Hua Wu‑Qiang Wu Dawei Di Baodan Zhao Jianjun Tian Zhijie Wang Yang Yang liang Chu mingjian Yuan Haibo Zeng Hin‑Lap Yip Keyou Yan Wentao Xu Lu Zhu Wenhua zhang Guichuan Xing Feng Gao liming Ding Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190People’s Republic of China university of Chinese Academy of sciences Beijing 100049People’s Republic of China department of Physics Link.ping University58183 Link.pingSweden Institute of Applied Physics and Materials Engineering University of MacaoMacao 999078People’s Republic of China School of Materials science and Engineering Yunnan UniversityKunming 650091People’s Republic of China School of Microelectronics science and Technology Sun Yat-sen UniversityZhuhai 519082People’s Republic of China College of Electronic information and Optical Engineering Nankai UniversityTianjin 300350People’s Republic of China guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of TechnologyShenzhen 518055People’s Republic of China School of Materials science and Engineering Nanjing University of Science and TechnologyNanjing 210094People’s Republic of China College of Optical science and Engineering Zhejiang UniversityHangzhou 310027People’s Republic of China State Key Laboratory of Superhard Materials Jilin UniversityChangchun 130012People’s Republic of China College of Electronic and Optical Engineering Nanjing University of Posts and TelecommunicationsNanjing 210023People’s Republic of China School of Chemistry Sun Yat-sen UniversityGuangzhou 510006People’s Republic of China School of Environment and Energy South China University of TechnologyGuangzhou 510000People’s Republic of China department of Chemistry Imperial College LondonLondon W120BZUK College of Chemistry Nankai UniversityTianjin 300071People’s Republic of China Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083People’s Republic of China Institute of Semiconductors Chinese Academy of SciencesBeijing 100083People’s Republic of China School

Nowadays, the soar of photovoltaic performance of perovskite solar cells has set off a fever in the study of metal halide perovskite materials. The excellent optoelectronic properties and defect tolerance feature allow metal halide perovskite to be employed in a wide variety of applications. This article provides a holistic review over the current progress and future prospects of metal halide perovskite materials in representative promising applications, including traditional optoelectronic devices(solar cells, light-emitting diodes, photodetectors, lasers), and cutting-edge technologies in terms of neuromorphic devices(artificial synapses and memristors) and pressure-induced emission. This review highlights the fundamentals, the current progress and the remaining challenges for each application, aiming to provide a comprehensive overview of the development status and a navigation of future research for metal halide perovskite materials and devices.

关键词： Perovskites Optoelectronic devices Neuromorphic devices Pressure-induced emission

LONG-TIME REPEATED ACUPUNCTURE STIMULATIONS INDUCE HABITUATION IN SOMATOSENSORY CORTEX

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Journal of Integrative Medicine 2014年第3期 264-265页

作者： Chuan-fu li Jun Yang Kyungmo Park Hong-li Wu wei zhang Sheng Hu Ben-sheng Qiu Jun-{2. liu Chun-sheng Xu Qi Lu Chun-yun zhang lin-ying Wang xiao-chu zhang Laboratory of Digital Medical Imaging the First Affiliated Hospital of Anhui University of Traditional Medicine department of Biomedical Engineering Kyung Hee University Anhui university of Traditional Medicine School of information science and Technology University of Science and Technology of China

Objective: Many fMRI studies on acupuncture have been reported in recent years, but the mechanism underlying acupuncture therapeutic effects is still under debate since heterogeneous results were *** of the previous studies about brain responses to acupuncture were designed to investigate the instant effects of acupuncture stimulation while the cumulative effect, which is more important, has seldom been *** this study, cumulative effect of acupuncture was analyzed in order to find the possible acupuncture ***: Forty healthy volunteers were recruited to take part in the study in which more than 40 min of repeated acupuncture stimulation was *** runs of acupuncture fMRI data were acquired and each run consisted of two blocks of acupuncture *** GLM analysis to each block, acupuncture cumulative effects were analyzed with ANCOVA tofind the correlation between the degree of brain response in each stimulation block and the cumulative duration of acupuncture ***: The brain response in the first block was the strongest although the brain response to acupuncture was *** habituated areas and the activated areas in the first block were overlapped in somatosensory areas, including bilateral middle cingulate cortex, bilateral paracentral lobule, right secondary somatosensory cortex and right *** brain response changes in the course of habituation were bimodal, i.e., positive response was presented at the beginning, and became negative at ***: Habituation in somatosensory areas was found to be the features of acupuncture cumulative effect and its characteristic was the bimodal brain *** the important role of somatosensory cortex in pain perception and the other characteristics of habituation, such as the generalization and long-term characteristics, it was suggested that the habituation might play an important role in acupuncture analgesia mechanism

关键词： fMRI

不同粒径和大气颗粒物对成年人心律失常的影响

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中华疾病控制杂志 2023年第1期27卷 41-46页

作者：徐洪兵刘凌燕王洋何兴侯易铁慈朱雨桐刘胜聪陈婕关新朋王童张怡吴荣山赵茜宋晓明李建平黄薇北京大学公共卫生学院劳动卫生与环境卫生学系北京100191 北京大学医学部校医院预防保健科北京100191 北京大学第一医院心内科北京100034

目的评估不同粒径和大气颗粒物对成年人心律失常的影响。方法对73名健康成年人于2.14年11月―2.16年1月进行4次临床调查,采用2. h动态心电图监测仪记录心律失常逐时发生次数;测定血清中炎性标志物可溶性白介素-1受体拮抗剂(soluble IL... 详细信息

目的评估不同粒径和大气颗粒物对成年人心律失常的影响。方法对73名健康成年人于2.14年11月―2.16年1月进行4次临床调查,采用2. h动态心电图监测仪记录心律失常逐时发生次数;测定血清中炎性标志物可溶性白介素-1受体拮抗剂(soluble IL-1 receptor antagonist, sIL-1RA)和巨噬细胞炎性蛋白-1β(macrophage inflammatory protein-1β, MIP-1β)水平;监测同期细颗粒物(fine particles matter, PM_(2.5))、空气动力学直径5.6~560.0 nm不同粒径段颗粒物浓度,以及开展不同粒径尺度颗粒物的源解析。利用广义估计方程模型分析大气颗粒物对心律失常的影响。结果累积暴露1 d的超细颗粒物与室性期前收缩(premature ventricular contraction, PVC)、成对室性早搏(ventricular couplets, VC)、室上性期前收缩(supraventricular premature beat, SVPB)、室性心动过速(ventricular tachycardia, VT)的发生存在统计学意义(均有P2.~2.51)、2.2.(95%CI:1.45~3.00)、1.44(95%CI:1.12.1.77)和2.63(95%CI:1.42.3.83)。汽油车排放、老化机动车来源的颗粒物与心律失常发生也呈正相关。分层分析显示,颗粒物致心律失常效应在可溶性白介素-1受体拮抗剂和巨噬细胞炎性蛋白-1β水平高的研究对象中更强。结论大气颗粒物特别是其中的交通相关来源的颗粒物可增加成年人发生心律失常的风险,且在全身炎症水平较高者中效应更明显。

关键词：大气颗粒物超细颗粒物心律失常源解析

Small P values may not yield robust findings:an example using REST-meta-PD

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science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze Jia Na Zhao Hao-ming Dong Jia-wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen Jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-{2.g Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak xiao Hu xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-Juan Jia Christina Jones Jan Kassubek Lenka Krajcovicova Ajay Kurani Jing li Qing li Ai-ping liu Bo liu Hu liu wei-Guo liu Renaud Lopes Yu-Ting Lou wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin J.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica {12.-Fang Shang James M.Shine Priyank Shukla Tomas Slavicek xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt Jian Wang Jue Wang Z.Jane Wang Lu-Qing wei Xia Wu xiao-Jun Xu Lei Yan Jing Yang Wan-Qun Yang Nai-lin Yao De-Long zhang Jiu-Quan zhang Min-ming zhang Yan-ling zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy department of Advanced Medical and Surgery sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2.d Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China department of health and Exercise science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada department of Medicine(Neurology)university of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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基于反角白光中子源次级质子的探测器标定

物理学报 2021年第8期70卷 28-36页

作者：蒋伟江浩雨易晗樊瑞睿崔增琪孙康张国辉唐靖宇孙志嘉宁常军高可庆安琪白怀勇鲍杰鲍煜曹平陈昊磊陈琪萍陈永浩陈裕凯陈朕封常青顾旻皓韩长材韩子杰贺国珠何泳成洪杨黄翰雄黄蔚玲黄锡汝季筱璐吉旭阳姜智杰敬罕涛康玲康明涛李波李超李嘉雯李论李强李晓李样刘荣刘树彬刘星言栾广源穆奇丽齐斌斌任杰任智洲阮锡超宋朝晖宋英鹏孙虹孙晓阳谭志新唐洪庆唐新懿田斌斌王丽娇王鹏程王琦王涛峰王朝辉文杰温中伟吴青彪吴晓光吴煊解立坤羊奕伟于莉余滔于永积张林浩张奇玮张显鹏张玉亮张志永赵豫斌周路平周祖英朱丹阳朱科军朱鹏中国科学院高能物理研究所北京100049 散裂中子源科学中心东莞523803 北京大学物理学院核物理与核技术国家重点实验室北京100871 核探测与核电子学国家重点实验室中国科学院大学北京100049 中国科学技术大学近代物理系合肥230026 中国原子能科学研究院核数据重点实验室北京102413 中国工程物理研究院核物理与化学研究所绵阳621900 西北核技术研究院西安710024 中国科学技术大学工程与应用物理系合肥230026 北京航空航天大学物理学院北京100083

目前国内外的质子标定终端较少,且普遍为单能质子束流.基于中国散裂中子源的反角白光中子源的eV—2.0 MeV中子能量区间的白光中子束流,以及中子与氢的~1H(n, el)反应,可以获得宽能谱的能量连续次级质子.利用1 GSps采样率、12.bit的波形... 详细信息

目前国内外的质子标定终端较少,且普遍为单能质子束流.基于中国散裂中子源的反角白光中子源的eV—2.0 MeV中子能量区间的白光中子束流,以及中子与氢的~1H(n, el)反应,可以获得宽能谱的能量连续次级质子.利用1 GSps采样率、12.bit的波形数字化获取系统采集探测器输出波形信号,通过对波形信号的分析,得到中子及反冲质子的飞行时间,进而得到反冲质子的动能.利用该方法得到的质子,为探测器质子标定等研究提供了新的研究平台.在该研究平台已经开展了带电粒子望远镜的标定实验.研究了CsI (Tl)探测器不同的信号读出方式对望远镜的DE-E二维谱、幅度-质子动能二维谱等粒子鉴别方法得到的粒子鉴别的效果,得到了较优的探测器信号读出方案.该研究为带电粒子望远镜的建设提供了实验依据,也说明了基于反角白光中子源的宽能谱质子标定的可行性.

关键词：质子标定探测器 ~1H(n,el)反应反角白光中子源

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2.05年中国城市CO2.放数据集

中国人口·资源与环境 2018年第4期28卷 1-7页

作者：蔡博峰刘晓曼陆军王金南刘红光陈洋陈占明丛建辉崔志鹏代春艳董会娟方恺冯彤郭杰李芬孟凡鑫唐伟王庚哲谢运生张建军阿依吐尔逊·沙木西布买日也木·买买提蔡伟光曾胜常盼陈前利陈振国单钰理丁冠乔独威范敏冯相昭干晓宇高壮飞谷雨何凌昊何姚胡鸣明黄丽珍黄桥贾小平菊春燕蓝菁李爽李松李耀光李照令刘合林刘婧文刘庆燕刘竹逯飞马贤磊欧金沛潘栋沈杨税月孙露谭效时唐敏唐袆祺王柯王思亓王香爱王晓培吴家杰吴雪萍肖连香邢文婷徐丽笑叶瑞克袁子坤张飞云张袆张明张琦峰张曦文张宇赵晶赵胜男郑思伟周来友朱天琦曹丽斌冯乐李栋李一静龙瀛孙瑞红环境保护部环境规划院北京100012 中国科学院大气物理研究所北京100029 南京农业大学公共管理学院江苏南京210095 上海财经大学城市与区域科学学院上海200433 中国人民大学经济学院北京100872 山西大学经济与管理学院山西太原030006 E2.环境平台咨询部北京100195 重庆工商大学长江上游经济研究中心重庆400067 上海交通大学环境科学与工程学院上海200240 浙江大学公共管理学院浙江杭州310058 天津大学管理与经济学部天津300072 南京农业大学土地管理学院江苏南京210095 深圳市建筑科学研究院股份有限公司北京研创中心广东深圳518049 华南理工大学环境与能源学院广东广州510006 杭州市环境保护科学研究院环境政策研究中心浙江杭州310014 埃因霍芬理工大学建筑学院荷兰埃因霍芬5616SC 江西省科学院能源研究所江西南昌330000 中国地质大学(北京)土地科学技术学院北京100083 新疆农业大学管理学院新疆乌鲁木齐830052 重庆大学建设管理与房地产学院重庆400044 重庆工商大学财政金融学院重庆400067 东安格利亚大学国际发展学院英国诺维奇NR47TJ 环境保护部环境发展中心北京100029 环境保护部环境与经济政策研究中心北京100029 四川大学建筑与环境学院四川成都610065 浙江工业大学政治与公共管理学院浙江杭州310023 美国绿色建筑委员会城市与社区部北京100085 挪威科技大学工程学院挪威约尔维克2815 北京师范大学统计学院北京100875 青岛科技大学环境学院山东青岛266000 北京大学遥感与地理信息系统研究所北京100871 北京师范大学环境学院北京100875 筑波大学日本筑波305-0005 华中科技大学建筑与城市规划学院湖北武汉430074 美国东北大学工学院美国波士顿02115 河北省环境科学研究院规划所河北石家庄050037 中山大学地理科学与规划学院广东广州北京林业大学环境科学与工程学院北京宁波职业技术学院商贸外语学院浙江宁波重庆工商大学土地管理学院重庆日本国立环境研究所社会环境系统研究中心日本筑波中国船舶重工集团公司第七一四研究所北京重庆工商大学管理学院重庆渭南师范学院化学与材料学院陕西渭南福州大学经济与管理学院福建福州扬州大学环境科学与工程学院江苏扬州中国矿业大学管理学院江苏徐州北京大学城市与环境学院北京内蒙古大学公共管理学院内蒙古呼和浩特江苏大学财经学院江苏镇江赤峰学院资源与环境科学学院内蒙古赤峰新余学院经济管理学院江西新余北京市环境保护科学研究院生态与城市环境研究所北京北京清华同衡规划设计研究院有限公司技术创新中心北京100085 北京大学汇丰商学院英国校区华威大学交叉学科研究方法中心英国牛津100871 清华大学建筑学院北京100062 上海工程技术大学管理学院上海021620

2.05年是中国承诺碳减排目标的基准年份,因而也是中国城市碳减排战略制定和近中期低碳转型的基准年份和对照年份。中国城市2.05年CO_2.放数据的一致性、全面性和精准性对于中国所有城市和每个具体城市的目标考核和评估都有重要意义。... 详细信息

2.05年是中国承诺碳减排目标的基准年份,因而也是中国城市碳减排战略制定和近中期低碳转型的基准年份和对照年份。中国城市2.05年CO_2.放数据的一致性、全面性和精准性对于中国所有城市和每个具体城市的目标考核和评估都有重要意义。基于中国高空间分辨率网格数据(CHRED 2.0)、城市层面统计数据以及大量现场调研和走访,建立2.05年中国城市CO_2.放数据集,包括工业能源排放、工业过程排放、农业排放、服务业排放、城镇生活排放、农村生活排放、交通排放7个部门的直接排放数据和间接排放数据。该数据集的建立汇总了86名研究人员的工作成果,在企业、城市不同行业与部门、城市工业和城市总化石能源等不同层面进行了大量的交叉验证和数据分析,有效保障了数据的精确性和准确性。结果显示,2.05年中国城市碳排放呈现出较大的体量差异和空间格局差异。排放前10的城市几乎比排放后10的城市的排放量高出两个数量级。高排放城市基本都是城市群的核心城市。东部城市直接排放占全国直接排放比例最高,达到44.59%,其次是西部城市2..76%,中部城市2..70%,东北城市10.95%。

关键词：城市 CO 2.放数据集中国高空间分辨率网格

Study of BESIII trigger efficiencies with the 2.18 J/ψ data

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Chinese Physics C 2021年第2期45卷 48-55页

作者： M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov D.Y.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen X.R.Chen Y.B.Chen Z.J Chen W.S.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai X.C.Dai A.Dbeyssi R.E.de Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du Y.L.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng M.Fritsch C.D.Fu Y.Gao Y.Gao Y.Gao Y.G.Gao I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu S.Gu Y.T.Gu C.Y guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris H Hüsken K.L.he F.H.heinsius C.H.heinz T.held Y.K.heng C.herold M.Himmelreich T.Holtmann Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.B.Jiang X.S.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.G.Kurth W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.li C.H.li Cheng li D.M.li F.li G.li H.li H.li H.B.li H.J.li J.L.li J.Q.li J.S.li Ke li L.K.li Lei li P.R.li S.Y.li W.D.li W.G.li X.H.li X.L.li Z.Y.li H.liang H.liang H.liang Y.F.liang Y.T.liang L.Z.liao J.libby C.X.lin B.J.liu C.X.liu D.liu F.H.liu Fang liu Feng liu H.B.liu H.M.liu Huanhuan liu huihui liu J.B.liu J.L.liu J.Y.liu K.liu K.Y.liu Ke liu L.liu M.H.liu P.L.liu Q.liu Q.liu S.B.liu Shuai liu T.liu W.M.liu X.liu Y.liu Y.B.liu Z.A.liu Z.Q.liu X.C.Lou F.X.Lu H.J.Lu J.D.Lu J.G.Lu X.L.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo b P.W.Luo T.Luo X.L.Luo S Institute of High Energy Physics Beijing 100049China Beihang university Beijing 100191China beijing Institute of Petrochemical Technology Beijing 102617China Bochum Ruhr-university D-44780 BochumGermany Carnegie Mellon university PittsburghPennsylvania 15213USA Central China Normal university Wuhan 430079China China Center of Advanced science and Technology Beijing 100190China COMSATS university Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan university Shanghai 200443China GIBudker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI helmholtzcentre for heavy Ion Research GmbH D-64291 DarmstadtGermany guangxi Normal university Guilin 541004China guangxi university Nanning 530004China Hangzhou Normal university Hangzhou 310036China helmholtz Institute Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany henan Normal university Xinxiang 453007China henan university of science and Technology Luoyang 471003China Huangshan College Huangshan 245000China Hunan Normal university Changsha 410081China Hunan university Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana university BloomingtonIndiana 47405USA (A)INFN Laboratori Nazionali di Frascati I-00044FrascatiItaly(B)INFN Sezione di PerugiaI-06100PerugiaItaly(C)University of PerugiaI-06100PerugiaItaly (A)INFN Sezione di Ferrara I-44122FerraraItaly(B)University of FerraraI-44122FerraraItaly Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Ave54BUlaanbaatar 13330Mongolia Jilin university Changchun 130012China Johannes Gutenberg university of Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Joint Institute for Nuclear Research 141980 DubnaMoscow regionRussia Justus-liebig-Universitaet Giessen IIPhysikalisches InstitutHeinrich-Buff-Ring 16D-35392GiessenGermany KVI-CART University of GroningenNL-9747 AA GroningenThe Netherlands Lanzhou university Lanzhou 730000China liaoning Normal Unive

Using a dedicated data sample taken in 2.18 on the J/ψpeak,we perform a detailed study of the trigger efficiencies of the BESIII *** efficiencies are determined from three representative physics processes,namely Bhabha scattering,dimuon production and generic hadronic events with charged *** combined efficiency of all active triggers approaches 100%in most cases,with uncertainties small enough not to affect most physics analyses.

关键词： BESIII trigger efficiency Bhabha dimuon hadronic events

中国住院病人营养不良及住院时间延长的危险因素分析

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肠外与肠内营养 2020年第3期27卷 136-142页

作者：张玉鹏章黎黄迎春周伟杨晓燕崔瑶赵恒芳聂俊英董素萍卞晓洁邓桂芳徐洁莲刘小孙董洋张晓岚宋佳陈莲珍吴健雄王新颖南京大学医学院附属金陵医院普通外科江苏南京210002 浙江大学医学院附属邵逸夫医院普外科浙江杭州310016 徐州医科大学附属邳州医院江苏邳州221300 西北大学附属医院·西安市第三医院消化科陕西西安710018 内蒙古医科大学附属医院内蒙古呼和浩特010050 南京大学医学院附属鼓楼医院药学部江苏南京210008 华中科技大学协和深圳医院临床营养科广东深圳518052 南京医科大学附属江宁医院江苏南京211100 浙江大学附属第一医院浙江杭州310003 河北医科大学第二医院河北石家庄050035 国家癌症中心/国家肿瘤临床医学中心/中国医学科学院北京协和医学院肿瘤医院北京100021

目的:调查中国住院病人营养状况,探索发生营养不良及影响住院时间(LOS)的危险因素。方法:通过参加“世界营养日”活动,以问卷形式收集2.18年11月15日全国11家医院住院病人的营养相关状况,30 d后随访病人临床结局。结果:我国住院病人营... 详细信息

目的:调查中国住院病人营养状况,探索发生营养不良及影响住院时间(LOS)的危险因素。方法:通过参加“世界营养日”活动,以问卷形式收集2.18年11月15日全国11家医院住院病人的营养相关状况,30 d后随访病人临床结局。结果:我国住院病人营养不良及营养风险发生率分别为11.6%、2..7%。存在营养不良/营养风险者有59.7%获得营养干预,而营养良好者仅2..9%获得营养干预。曾入住ICU的病人营养不良/营养风险发生率53.4%,LOS 15.5(10.0~2..0)d均显著高于未曾入住ICU者30.6%,LOS 10.0(6.0~16.0)d,P<0.001。曾入住ICU、住院期间计划手术、活动力差、入院前1周饮食量减少、近3月体质量下降是营养不良/营养风险的危险因素;男性、营养状况差、住院期间行手术治疗、曾入住ICU、调查当天饮食量减少、近3月体质量下降是LOS延长的危险因素。结论:我国住院病人营养不良/营养风险的发生率较高,但国内营养支持治疗逐年规范。曾入住ICU、饮食量减少、近3月体质量下降是营养不良/营养风险及病人住院时间延长的危险因素。

关键词：住院病人世界营养日营养不良营养支持治疗住院时间