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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 {2.jian 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 {2.lu 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-{2. 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,2.15)and the Conceptual Design Report(CDR,2.18),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

达芬奇机器人手术系统经肛微创直肠肿瘤局部切除术的应用价值

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中华消化外科杂志 2022年第5期21卷 649-655页

作者：郑恢超黄彬谢兴杰杨勇田跃王李李凡姜玲童卫东陆军军医大学大坪医院胃肠外科重庆400042 德阳市人民医院胃肠外科德阳618099

目的探讨达芬奇机器人手术系统经肛微创手术(R-TAMIS)方式行直肠肿瘤局部切除术的应用价值。方法采用回顾性描述性研究方法。收集2.17年6月至2.2.年3月陆军军医大学大坪医院收治的7例直肠肿瘤行R-TAMIS患者的临床病理资料;男3例,女4例;... 详细信息

目的探讨达芬奇机器人手术系统经肛微创手术(R-TAMIS)方式行直肠肿瘤局部切除术的应用价值。方法采用回顾性描述性研究方法。收集2.17年6月至2.2.年3月陆军军医大学大坪医院收治的7例直肠肿瘤行R-TAMIS患者的临床病理资料;男3例,女4例;年龄为(60±7)岁。观察指标:(1)术中情况。(2.术后恢复情况。(3)术后组织病理学检查结果。(4)随访情况。采用电话或门诊方式进行随访。分别于术后1、3、6个月随访,其后每6个月随访1次,了解患者术后30 d再入院、肿瘤复发及转移、死亡情况。随访时间截至2.2.年4月。正态分布的计量资料以x±s表示。偏态分布的计量资料以M(范围)表示。计数资料以绝对数表示。结果(1)术中情况:7例患者均顺利完成R-TAMIS,无中转开腹或腹腔镜手术。7例患者中,2.行直肠全层切除术,5例行黏膜下完整剥离肿瘤术;2.因直肠创面太大未缝合,5例切除病变后选择人工合成缝线缝合直肠创面;2.术中预置肛管,5例未安置肛管。7例患者术中出血量为15(2.50)mL;总手术时间为(91.4±18.4)min,其中经肛手术平台安置与达芬奇机器人手术系统安装时间为(19.1±2.3)min,手术实际操作时间为(72.3±16.6)min;未发生尿道损伤等术中并发症。(2.术后恢复情况:7例患者术后第1天开始饮水并下床活动,术后第2.进食流质食物,术后首次肛门排气时间为1(1~3)d。2.预置肛管患者于术后第2.拔除肛管。7例患者无术后并发症发生,术后住院时间为3(3~9)d。(3)术后组织病理学检查情况:7例患者中,3例绒毛状管状腺瘤;2.绒毛状管状腺瘤伴高级别上皮内瘤变、局部癌变,癌组织侵及黏膜下层(SM1期);1例绒毛状管状腺瘤伴高级别上皮内瘤变、局部癌变,癌组织局限于黏膜内层(Tis期);1例为中分化腺癌,癌组织侵及浅肌层(T2.)。7例患者手术标本切缘及基底部均无肿瘤细胞残留。(4)随访情况:7例患者均获得随访,随访时间为18(1~42.个月。7例患者中,1例术后组织病理学检查结果显示为直肠腺癌,癌组织侵犯浅肌层,建议患者行补救性根治性切除术,患者拒绝再手术治疗,遂予以口服卡培他滨化疗3个疗程;6例患者未进行术后化疗。7例患者中,无术后30 d内再入院,随访期间无肿瘤局部复发及远处转移、死亡病例。结论直肠腺瘤及早期直肠癌患者以R-TAMIS方式行直肠肿瘤局部切除术安全、可行,近期疗效及短期肿瘤学疗效可靠。

关键词：直肠肿瘤达芬奇机器人手术系统经肛微创手术早期局部切除

Application of fluorescence in situ hybridization in the detection of bladder transitional-cell carcinoma: A multi-center clinical study based on Chinese population

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Asian Journal of Urology 2019年第1期6卷 114-121页

作者： liqun Zhou Kaiwei Yang Xuesong li Yi Ding Dawei Mu Hanzhong li Yong Yan Jinyi li Dongwen Wang Wei li Yulong Cong Jiangping Gao Kewei Ma Yajun Xiao Sheng Zhang Hongyi Jiang Weilie Hu Qiang Wei Xunbo Jin Zhichen Guan Qingyong liu Danfeng Xu Xin Gao Yongguang Jiang Weimin Gan Guang Sun Qing Wang Yanhui liu Jianquan Hou liping Xie Xishuang Song Fengshuo Jin Jiafu Feng ming Cai Zhaozhao liang Jie Zhang Dingwei Ye lin Qi Lulin Ma Jianzhong Shou Yuping Dai Jianyong Shao Ye tian Shizhe Hong Tao Xu Chuize Kong Zefeng Kang Yuexin liu Xun Qu Benkang Shi Shaobin zheng Yi lin Shujie Xia Dong Wei Jianbo Wu Weiling Fu Zhiping Wang Jianbo liang department of Urology Peking University First HospitalBeijingChina Institute of Urology Peking UniversityBeijingChina National Urological Cancer Center BeijingChina Air Force General Hospital PLABeijingChina department of Urology Peking Union Medical College HospitalBeijingChina department of Urology Beijing Chao-Yang HospitalBeijingChina department of Urology Armed-Police General HospitalBeijingChina department of Urology Shanxi Medical University First HospitalTaiyuanChina department of Urology Hebei Medical University Second HospitalShijiazhuangChina department of Urology The General Hospital of the People’s Liberation ArmyBeijingChina department of Urology First Affiliated Hospital of Jilin UniversityChangchunChina department of Urology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina department of Pathology The First Affiliated Hospital of Fujian Medical UniversityFuzhouChina department of Urology The Second Xiangya Hospital of Central South UniversityChangshaChina department of Urology General Hospital of Guangzhou Military Command of PLAGuangzhouChina department of Urology West China School of MedicineChengduChina department of Urology Shangdong Province-owned HospitalJinanChina department of Urology Peking University Shenzhen HospitalShenzhenChina department of Urology The Central Hospital of Jinan CityJinanChina department of Urology Shanghai Changzheng HospitalShanghaiChina department of Urology The Third Affiliated Hospital of Sun Yat-sen UniversityGuangzhouChina department of Urology Beijing Anzhen Hospital of Capital Medical UniversityBeijingChina department of Urology The Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’anChina department of Urology The Second Hospital of Tianjin Medical UniversityTianjinChina department of Urology People’s Hospital of Xinjiang Uygur Autonomous RegionWulumuqiChina department of Urology Guangdong General HospitalGuangzhouChina department of Urology The First Affil

Objective:To evaluate the diagnostic value of fluorescence in situ hybridization(FISH)in bladder ***:We enrolled healthy volunteers and patients who were clinically suspected to have bladder cancer and conducted FISH tests and cytology examinations from August 2.07 to December *** operating characteristic(ROC)curve analysis was performed and the area under curve(AUC)values were calculated for both the FISH and urine cytology ***:A cohort of 988 healthy volunteers was enrolled to establish a reference range for the {2. population.A total of 4807 patients with hematuria were prospectively,randomly enrolled for the simultaneous analysis of urine cytology,FISH testing,and a final diagnosis as determined by the pathologic findings of a biopsy or a surgically-excised ***,the sensitivity of FISH in detecting transitional-cell carcinoma was 82.7%,while that of cytology was 33.4%(p2.6%and 90.1%,respectively(p=0.002..Conclusion:FISH is significantly more sensitive than voided urine cytology for detecting bladder cancer in patients evaluated for gross hematuria at all cancer grades and *** sensitivity using FISH was obtained in high grade and muscle invasive tumors.

关键词： Bladder transitionalcell carcinoma Fluorescence in situ hybridization Detection Grade Stage

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周细胞微囊泡对脓毒症大鼠肺损伤的保护作用

第三军医大学学报 2021年第13期43卷 1185-1191页

作者：王洪晨周赫男郑丹阳薛明英田昆仑吴跃彭小勇刘良明李涛陆军特色医学中心野战外科研究部战伤休克与输血研究室创伤、烧伤与复合伤国家重点实验室重庆400042

目的探讨周细胞(pericyte,PC)分泌的微囊泡(microvesicle,MV)对脓毒症大鼠肺损伤的保护作用。方法利用差速离心法提取周细胞微囊泡(PC derived MV,PC-MV),并采用透射电镜和流式细胞仪进行鉴定。将40只SD大鼠(雌雄不拘,12.14周龄,体质量... 详细信息

目的探讨周细胞(pericyte,PC)分泌的微囊泡(microvesicle,MV)对脓毒症大鼠肺损伤的保护作用。方法利用差速离心法提取周细胞微囊泡(PC derived MV,PC-MV),并采用透射电镜和流式细胞仪进行鉴定。将40只SD大鼠(雌雄不拘,12.14周龄,体质量约2.0 g)按随机数字表法分为4组(n=10):正常组、PC-MV对照组(正常小鼠尾静脉注射PC-MV,1×10^(7)/只)、脓毒症组[使用盲肠结扎穿孔术(cecal ligation puncture,CLP)复制大鼠脓毒症模型]和PC-MV治疗组(脓毒症模型大鼠尾静脉注射PC-MV,1×10^(7)/只)。检测大鼠的肺湿干质量比和肺组织伊文思蓝渗出量,观察PC-MV对脓毒症大鼠肺血管通透性的作用;制备肺病理切片并检测动脉血气指标,观察PC-MV对肺组织功能的作用;检测大鼠血清炎性因子水平,观察PC-MV对脓毒症炎症反应的作用。结果与正常组相比,脓毒症组大鼠肺功能明显受损,表现为肺组织结构破坏,大量红细胞及炎性细胞渗出,动脉血氧分压(PaO_(2.)下降33.6%,动脉血二氧化碳分压(PaCO_(2.)升高47.5%;脓毒症大鼠肺血管通透性显著增加,表现为肺湿干质量比增加,肺对伊文思蓝透过率增加;脓毒症大鼠炎性因子TNF-α、IL-6水平升高(P2.下降17.7%,PaCO_(2.升高2..9%),减轻炎性因子渗出(与脓毒症组相比,PC-MV治疗组炎性因子TNF-α水平下降10.7%,IL-6水平下降2..9%),显著保护脓毒症大鼠肺功能。同时PC-MV可减轻脓毒症后肺血管渗漏,对肺血管通透性有明显的保护作用。结论PC-MV对脓毒症大鼠肺损伤有明显的保护作用。

关键词：微囊泡周细胞脓毒症肺损伤

Mapping essential urban land use categories in china(EULUC-china):pre{2.minary results for 2.18

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Science Bulletin 2020年第3期65卷 182-187页

作者： Peng Gong Bin Chen Xuecao li Han liu Jie Wang Yuqi Bai Jingming Chen Xi Chen Lei Fang Shuailong Feng Yongjiu Feng Yali Gong Hao Gu Huabing Huang Xiaochun Huang Hongzan Jiao Yingdong Kang Guangbin Lei Ainong li Xiaoting li Xun li Yuechen li Zhilin li Zhongde li Chong liu Chunxia liu Maochou liu Shuguang liu Wanliu Mao Changhong Miao Hao Ni Qisheng Pan Shuhua Qi Zhehao Ren Zhuoran Shan Shaoqing Shen Minjun Shi Yimeng Song Mo Su Hoi Ping Suen Bo Sun Fangdi Sun Jian Sun lin Sun Wenyao Sun tian tian Xiaohua Tong Yihsing Tseng Ying Tu Hong Wang Lan Wang Xi Wan Zongming Wang Tinghai Wu Yaowen Xie Jian Yang Jun Yang Man Yuan Wenze Yue Hongda Zeng Kuo Zhang Neng Zhang Tao Zhang Yu Zhang Feng Zhao Yichen zheng Qiming Zhou Nicholas Clinton Zhiliang Zhu Bing Xu Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Tsinghua Urban Institute Tsinghua UniversityBeijing 100084China Center for Healthy Cities Institute for China Sustainable UrbanizationTsinghua UniversityBeijing 100084China department of Land Air and Water ResourcesUniversity of CaliforniaDavisCA 95616-8627USA department of Geological and Atmospheric Sciences Iowa State UniversityAmesIA 50011USA State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101China AI for Earth Laboratory Cross-Strait InstituteTsinghua UniversityBeijing 100084China International Institute for Earth System Sciences Nanjing UniversityNanjing 210093China Research Center for Ecology and Environment of Central Asia Chinese Academy of SciencesUrumchi 830011China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China National Engineering Laboratory for Applied Technology in Forestry&Ecology in South china College of Life Science and TechnologyCentral South University of Forestry and TechnologyChangsha 410004China College of Surveying&Geo-Informatics Tongji UniversityShanghai 200092China department of Urban Planning College of Architecture and Urban PlanningTongji UniversityShanghai 200092China Beijing Institute of Urban Planning Beijing 100045China department of Urban Planning School of Urban DesignWuhan UniversityWuhan 430072China College of Earth Sciences Jilin UniversityChangchun 130061China Research Center for Digital Mountain and Remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China Institute of Remote Sensing and Geographic Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China department of Urban and Regional Planning School of Geography and PlanningSun Yat-sen Univ

Land use reflects human activities on *** land use is the highest level human alteration on Earth,and it is rapidly changing due to population increase and *** areas have widespread effects on local hydrology,climate,biodiversity,and food production[1,2..However,maps,that contain knowledge on the distribution,pattern and composition of various land use types in urban areas,are limited to city *** mapping standard on data sources,methods,land use classification schemes varies from city to city,due to differences in financial input and skills of mapping *** address various national and global environmental challenges caused by urbanization,it is important to have urban land uses at the national and global scales that are derived from the same or consistent data sources with the same or compatible classification systems and mapping *** is because,only with urban land use maps produced with similar criteria,consistent environmental policies can be made,and action efforts can be compared and assessed for large scale environmental ***,despite of the fact that a number of urban-extent maps exist at global scales[3,4],more detailed urban land use maps do not exist at the same *** at big country or regional levels such as for the United States,china and European Union,consistent land use mapping efforts are rare[5,6](e.g.,https://***/open_land_use/).

关键词： EULUC-china 土地利用类型

The DIRECT consortium and the REST-meta-MDD project:towards neuroimaging biomarkers of major depressive disorder

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Psychoradiology 2022年第1期2卷 32-42页

作者： Xiao Chen Bin Lu Hui-Xian li Xue-Ying li Yu-Wei Wang Francisco Xavier Castellanos li-Ping Cao Ning-Xuan Chen Wei Chen Yu-Qi Cheng Shi-Xian Cui Zhao-Yu Deng Yi-Ru Fang Qi-Yong Gong Wen-Bin Guo zheng-Jia-Yi Hu li Kuang Bao-Juan li Le li Tao li Tao lian Yi-Fan liao Yan-Song liu Zhe-Ning liu Jian-Ping Lu Qing-Hua Luo Hua-Qing Meng Dai-Hui Peng Jiang Qiu Yue-Di Shen {12.-Mei Si Yan-Qing Tang Chuan-Yue Wang Fei Wang Hua-Ning Wang Kai Wang Xiang Wang Ying Wang Zi-Han Wang Xiao-Ping Wu Chun-ming Xie Guang-Rong Xie Peng Xie Xiu-Feng Xu Hong Yang Jian Yang Shu-Qiao Yao Yong-Qiang Yu Yong-Gui Yuan Ke-Rang Zhang Wei Zhang Zhi-Jun Zhang Jun-Juan Zhu Xi-Nian Zuo Jing-Ping Zhao Yu-Feng Zang the DIRECT consortium Chao-Gan Yan CAS Key Laboratory of Behavioral Science Institute of PsychologyChinese Academy of SciencesBeijing 100101China International Big-Data Center for Depression Research Chinese Academy of SciencesBeijing 100101China Magnetic Resonance Imaging Research Center Institute of PsychologyChinese Academy of SciencesBeijing 100101China department of Psychology University of Chinese Academy of SciencesBeijing 100049China Sino-Danish College University of Chinese Academy of SciencesBeijing 101408China Sino-Danish Center for Education and Research Graduate University of Chinese Academy of SciencesBeijing 101408China department of Child and Adolescent Psychiatry NYU Grossman School of MedicineNew YorkNY 10016USA Nathan Kline Institute for Psychiatric Research OrangeburgNew YorkNY 10962USA 9Affiliated Brain Hospital of Guangzhou Medical UniversityGuangzhou 510370China Capital normal University Beijing 100089China department of Psychiatry Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou 310020ZhejiangChina department of Psychiatry First Affiliated Hospital of Kunming Medical UniversityKunmingYunnan 650032China Shanghai Mental Health Center Shanghai Jiao Tong University School of MedicineShanghai 200030China Huaxi MR Research Center(HMRRC) Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan 610044China Research Unit of Psychoradiology Chinese Academy of Medical SciencesChengduSichuan 610052China department of Psychiatry and National Clinical Research Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangsha 410011HunanChina department of Psychiatry The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400042China Xijing Hospital of Air Force Military Medical University Xi’anShaanxi 710032China Center for Cognitive Science of Language Beijing Language and Culture UniversityBeijing 100083China Affiliated Mental Health Center&Hangzhou Seventh People’s Hospital Zhejiang University School of

Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder(MDD),repro-ducible findings are lacking,probably reflecting mostly small sample sizes and heterogeneity in analytic *** address these issues,the Depression Imaging REsearch ConsorTium(DIRECT)was *** REST-meta-MDD project,pooling 2.2. functional brain images processed with a standardized pipeline across all participating sites,has been the first effort from *** this review,we present an overview of the moti-vations,rationale,and principal findings of the studies so far from the REST-meta-MDD *** from the first round of analyses of the pooled repository have included alterations in functional connectivity within the default mode network,in whole-brain topological properties,in dynamic features,and in functional *** well-powered exploratory observations have also provided the basis for future longitudinal hypothesis-driven *** these fruitful explorations,DIRECT has proceeded to its second stage of data sharing that seeks to examine ethnicity in brain alterations in MDD by extending the exclusive Chinese original sample to other ethnic groups through international collaborations.A state-of-the-art,surface-based preprocessing pipeline has also been introduced to improve *** images from patients with bipolar disorder and schizophrenia will be included to identify shared and unique abnormalities across diag-nosis *** addition,large-scale longitudinal studies targeting brain network alterations following antidepressant treatment,aggregation of diffusion tensor images,and the development of functional magnetic resonance imaging-guided neuromodulation approaches are *** these endeavours,we hope to accelerate the translation of functional neuroimaging findings to clinical use,such as evaluating longitudinal effects of antidepressant medications and developing individualized

关键词： major depressive disorder DIRECT R-fMRI database neuroimaging

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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

打造教师教学发展共同体,多校共上一堂课——“大学化学实验课程群虚拟教研室”教研活动初探及成效

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大学化学 2023年第10期38卷 37-48页

作者：朱平平邵伟姚奇志郑媛李婉李玲玲张万群查正根关明白希李厚金胡昱原弘李恺胡文远王爱玲赵军龙翟翠萍秦川丽范乃英胡瑞祥沈永雯郝俊生张越赵发琼张海波龚成斌夏茹郝海刚张兴文孙兴文高珍范勇郭栋才曹田罗时玮李红春胡万群兰泉吴红中国科学技术大学化学与材料科学学院合肥230026 化学国家级实验教学示范中心(中国科学技术大学) 合肥230026 新疆师范大学化学化工学院乌鲁木齐830054 中山大学化学学院广州510006 南昌大学化学学院南昌330031 华中师范大学化学学院化学国家级实验教学示范中心(华中师范大学)武汉430079 郑州大学化学学院郑州450001 西南科技大学材料科学与工程学院四川绵阳621010 大连大学环境与化学工程学院辽宁大连116622 西北大学医学院西安710069 河南大学化学化工学院河南开封475001 黑龙江大学化学化工与材料学院哈尔滨150080 湖南师范大学化学化工学院长沙410081 兰州大学化学化工学院化学国家级实验教学示范中心(兰州大学)兰州730000 山西大学化学化工学院化学国家级实验教学示范中心(山西大学)太原030006 武汉大学化学与分子科学学院化学国家级实验教学示范中心(武汉大学)武汉430072 西南大学化学化工学院重庆400715 安徽大学化学化工学院合肥230601 内蒙古大学化学化工学院呼和浩特010021 哈尔滨工业大学化工与化学学院哈尔滨150001 复旦大学化学系化学国家级实验教学示范中心(复旦大学)上海200433 北京大学化学与分子工程学院化学国家级实验教学示范中心(北京大学)北京100871 吉林大学化学学院长春130012 湖南大学化学化工学院化学国家级实验教学示范中心(湖南大学)长沙410082 安徽建筑大学材料与化学工程学院合肥230601

介绍“大学化学实验课程群虚拟教研室”在创新教研形态、加强教学研究、共建优质资源以及开展教师培训等方面开展的一系列工作及取得的初步实效。重点阐明了“多校共上一堂课,共享教学云资源”的示范教学直播课活动的教研形式以及教学... 详细信息

介绍“大学化学实验课程群虚拟教研室”在创新教研形态、加强教学研究、共建优质资源以及开展教师培训等方面开展的一系列工作及取得的初步实效。重点阐明了“多校共上一堂课,共享教学云资源”的示范教学直播课活动的教研形式以及教学内容的选取原则。

关键词：虚拟教研室示范教学虚实结合线上线下混合式教学诺贝尔奖成果