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Military Medical Research 2024年第1期11卷 19-33页

作者： Liang-Kun Guo Yi Su Yu-Ya-Nan zhang Hao Yu Zhe Lu Wen-Qiang Li Yong-Feng Yang xiao xiao Hao Yan tian-lan Lu Jun Li yun-Dan Liao Zhe-Wei Kang Li-Fang wang Yue Li Ming Li Bing Liu Hai-Liang Huang Lu-Xian Lv Yin Yao yun-Long Tan Gerome Breen Ian Everall hong-Xing wang Zhuo Huang dai zhang Wei-Hua Yue Institute of mental health Peking University Sixth HospitalBeijing 100191China National Clinical Research center for mental Disorders Peking University Sixth HospitalBeijing 100191China NHC Key Laboratory of mental health and Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder(2018RU006) Chinese Academy of Medical SciencesBeijing 100191China Peking university Huilongguan Clinical Medical school Beijing Huilongguan HospitalBeijing 100096China Department of Psychiatry Jining Medical UniversityJining 272067ShandongChina Henan Key Lab of Biological Psychiatry the Second Affiliated Hospital of Xinxiang Medical UniversityXinxiang 435001HenanChina Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and yunnan Province Kunming Institute of ZoologyChinese Academy of SciencesKunming 650223China Institute of Psychiatry Psychology and NeuroscienceKing’s College LondonLondon WC2R 2LSUK State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Analytic and Translational Genetics Unit Massachusetts General HospitalBostonMA 02114USA Stanley center for Psychiatric Research the Broad Institute of MIT and HarvardCambridgeMA 02141USA Department of medicine Harvard Medical SchoolBostonMA 02115USA Department of Biostatistics and Computational Biology School of Life SciencesFudan UniversityShanghai 200438China Department of Neurology Xuanwu HospitalCapital Medical UniversityBeijing 100053China State Key Laboratory of Natural and Biomimetic Drugs Key Laboratory for Neuroscience for Ministry of EducationSchool of Pharmaceutical SciencesPeking University Health Science CenterBeijing 100191China PKU-IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China Chinese Institute for Brain Research Beijing 102206China

Background:Choosing the appropriate antipsychotic drug(APD)treatment for patients with schizophrenia(SCZ)can be challenging,as the treatment response to APD is highly variable and difficult to predict due to the lack of effective *** studies have indicated the association between treatment response and genetic and epigenetic factors,but no effective biomarkers have been ***,further research is imperative to enhance precision medicine in SCZ ***:Participants with SCZ were recruited from two randomized *** discovery cohort was recruited from the CAPOC trial(n=2307)involved 6 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,Quetiapine,Aripiprazole,Ziprasidone,and Haloperidol/Perphenazine(subsequently equally assigned to one or the other)*** external validation cohort was recruited from the CAPEC trial(n=1379),which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,and Aripiprazole ***,healthy controls(n=275)from the local community were utilized as a genetic/epigenetic *** genetic and epigenetic(DNA methylation)risks of SCZ were assessed using the polygenic risk score(PRS)and polymethylation score,*** study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis,methylation quantitative trait loci,colocalization,and promoteranchored chromatin *** learning was used to develop a prediction model for treatment response,which was evaluated for accuracy and clinical benefit using the area under curve(AUC)for classification,R^(2) for regression,and decision curve ***:Six risk genes for SCZ(LINC01795,DDHD2,SBNO1,KCNG2,SEMA7A,and RUFY1)involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment *** developed and externally validated predictio

关键词： Schizophrenia Antipsychotic drug Treatment response Prediction model Genetics Epigenetics

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

N400 elicited by incongruent ending words of Chinese idioms in healthy adults

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Chinese Medical Journal 2010年第6期123卷 686-689页

作者： CHEN Xing-shi TANG yun-xiang xiao ze-ping wang Ji-jun zhang Ming-dao zhang Zai-fu HU Zhen-yu LOU fei-ying CHEN Chong zhang tian-hong Department of Electrophysiology Shanghai Mental Health CenterShanghai Jiao Tong UniversityShanghai 200030China Department of Psychology Faculty of Health ServiceSecond Military Medical University of People's Liberation ArmyShanghai 200433China Department of Psychiatry Shanghai Mental Health CenterShanghai Jiao Tong UniversityShanghai 200030China Department of Electronic Ephalography Source Imaging Shanghai Mental Health CenterShanghai Jiao Tong UniversityShanghai 200030China Department of Psychiatry Second Hospital of Jinhua CityJinhuaZhejiang 321016China Department of Psychiatry Ningbo Kangning HospitalNingboZhejiang 315201China

Background Prior research about N400 has been mainly based on English stimuli,while the *** of Chinese characters is still *** aim of the present study was to further investigate the semantic processing of Chinese *** Event related potentials （ERP） component N400 was elicited by 38 pairs of matching （congruent） and mismatching （incongruent） ended Chinese idioms：ending words with same phoneme but different shape and meaning （sPdSdM）,with similar shape but different phoneme and meaning（sSdPdM）,with same meaning but different phoneme and shape（sMdPdS）,and words with different phoneme,shape and meaning（dPdSdM）and recorded by Guangzhou Runjie WJ-1 ERP *** 62 right-handed healthy adults（age 19-50 years）,N400 amplitudes and latencies were compared between matching and mismatching conditions at Fz,Cz and *** N400 showed a midline distribution and could be elicited in electrodes Fz, Cz and *** mean values of N400 latencies and amplitudes were obtained for matching and mismatching ending werds in healthy *** differences were found in N400 latencies and amplitudes in matching and mismatching ending-werds idioms in healthy adults（P〈0.05）.Compared with matching ending-werds jdioms, N400 latencies were prolonged and the amplitudes were increased in mismatching ones.N400s elicited by different types of stimuli showed different latencies and *** longest N400 latency and largest N400 amplitude were elicited by ending-werds with *** gender difference was found of N400 latency and amplitude in this study （P〉0.05）.Conclusions Compared with English *** ideographic words could provide more flexible stimuli for N400 research in that the werds have 3-dimension *** and *** of N400 elicited by matching and mismatching ending words in Chinese idioms are mainly determined by the meaning of the *** issues of N400 elicited by Chinese characters deserve further

关键词： healthy adult N400 ending words Chinese idioms

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心理咨询门诊咨客人格障碍倾向的分布特点

中国心理卫生杂志 2009年第11期23卷 767-771页

作者：张天宏肖泽萍王兰兰戴云飞张海音仇剑崟上海交通大学医学院附属精神卫生中心上海200030

目的:研究心理咨询门诊咨客人格障碍倾向的分布特点。方法:采用系统抽样法,以人格障碍诊断问卷(Personality Diagnostic Questionnaire,PDQ+4)为工具,对1402例就诊于心理咨询门诊的咨客进行调查研究。结果:心理咨询门诊咨客的PDQ+4总分... 详细信息

目的:研究心理咨询门诊咨客人格障碍倾向的分布特点。方法:采用系统抽样法,以人格障碍诊断问卷(Personality Diagnostic Questionnaire,PDQ+4)为工具,对1402例就诊于心理咨询门诊的咨客进行调查研究。结果:心理咨询门诊咨客的PDQ+4总分及各分量表分均高于正常人群常模[如,总分(38.23±17.04)vs.(22.79±14.10),P<0.001]。女性边缘型得分高于男性[(4.25±2.48)vs.(3.97±2.41),P=0.031],而反社会型、偏执型、分裂型、被动攻击型得分低于男性[(1.31±1.55)vs.(1.71±1.64),(2.75±1.87)vs.(3.02±1.93),(3.31±2.17)vs.(3.56±2.21),(2.71±1.69)vs.(2.93±1.64);均P<0.05]。按年龄分层后,PDQ+4总分及各分量表分(除分裂样人格障碍外)均随年龄增长呈下降趋势(如,总分18～24岁(41.73±16.28),25～34岁(39.46±16.95),35～44岁(33.88±16.24),≥45岁(30.64±17.21),P<0.001]。各分量表阳性率最高的是强迫型(58.5%)和回避型(54.0%),其次是边缘型(44.4%)。心理咨询门诊咨客PDQ+4的3因素分析中,因子1至3分别对应人格障碍C、B、A3群,方差累计贡献率已达到67%。结论:心理咨询门诊咨客的人格障碍倾向较正常人群更常见,大部分类型人格障碍倾向随年龄增长有缓解趋势,与人格障碍的类群理论构想有一定程度地吻合,提示在咨询工作中要重视对咨客人格的评估与治疗。

关键词：人格障碍倾向心理咨询门诊咨客 PDQ^+4 人格障碍问卷流行病学调查

Detection of an anti-angina therapeutic module in the effective population treated by a multi-target drug Danhong injection:a randomized trial

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Signal Transduction and Targeted Therapy 2021年第10期6卷 3009-3018页

作者： Jun Liu Dan-Dan Li Wei Dong Yu-Qi Liu Yang Wu Da-Xuan Tang Fu-Chun zhang Meng Qiu Qi Hua Jing-Yu He Jun Li Bai Du Ting-Hai Du Lin-Lin Niu Xue-Jun Jiang Bo Cui Jiang-Bin Chen Yang-Gan wang Hai-Rong wang Qin Yu Jing He Yi-Lin Mao xiao-Fang Bin Yue Deng Yu-Dan tian Qing-Hua Han Da-Jin Liu Li-Qin Duan Ming-Jun Zhao Cui-Ying zhang Hai-Ying dai ze-Hua Li Ying xiao You-Zhi Hu xiao-Yu Huang Kun Xing Xin Jiang Chao-Feng Liu Jing An Feng-Chun Li Tao Tao Jin-Fa Jiang Ying Yang Yao-Rong Dong Lei zhang Guang Fu Ying Li Shu-Wei Huang Li-ping Dou lan-Jun Sun Ying-Qiang Zhao Jie Li yun Xia Jun Liu Fan Liu Wen-Jin He Ying Li Jian-Cong Tan Yang Lin Ya-Bin Zhou Jian-fei Yang Guo-Qing Ma Hui-Jun Chen He-ping Liu Zong-Wu Liu Jian-Xiong Liu xiao-Jia Luo xiao-hong Bin Ya-Nan Yu Hai-Xia Dang Bing Li fei Teng wang-Min Qiao xiao-Long Zhu Bing-Wei Chen Qi-Guang Chen Chun-Ti Shen Yong-Yan wang yun-dai Chen Zhong wang Institute of Basic Research in Clinical medicine China Academy of Chinese Medical SciencesBeijingChina Department of Cardiology Chinese PLA General HospitalBeijingChina Department of Cardiology Dongfang Hospital Affiliated to Beijing University of Chinese MedicineBeijingChina Department of Geratology Peking University Third HospitalBeijingChina Department of Cardiology Xuan Wu HospitalCapital Medical UniversityBeijingChina Department of Cardiology Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijingChina Department of Cardiology First Affiliated Hospital of Henan University of Chinese MedicineZhengzhouHenanChina Department of Cardiology Wuhan University Renmin HospitalWuhanHubeiChina Department of Cardiology Wuhan University Zhongnan HospitalWuhanHubeiChina Affiliated Zhongshan Hospital of Dalian university DalianLiaoningChina Department of Cardiology Second Affiliated Hospital to Hunan University of Chinese MedicineChangshaHunanChina Department of Cardiology First Affiliated Hospital to Changchun University of Chinese MedicineChangchunJilinChina Department of Cardiology First Affiliated Hospital to Shanxi Medical UniversityTaiyuanShanxiChina Department of Cardiology Affiliated Hospital of Shanxi University of Chinese MedicineXianyangShanxiChina Department of Cardiology Changsha Central HospitalChangshaHunanChina Department of Cardiology Hubei Provincial Hospital of Traditional Chinese MedicineWuhanHubeiChina Department of Cardiology Shanxi Provincial People's HospitalXi'anShanxiChina Department of Cardiology Shanxi Province Hospital of Traditional Chinese MedicineXi'anShanxiChina Department of Cardiology Xi'an City Hospital of Traditional Chinese MedicineXi'anShanxiChina Department of Cardiology Shanghai Tongji HospitalShanghaiChina Department of Cardiology Shanghai Municipal Hospital of Traditional Chinese MedicineShanghaiChina Department of Cardiology The First Hospital of ChangshaChangshaHunanChina Department of Cardiology Xinhua Hospi

It's a challenge for detecting the therapeutic targets of a polypharmacological drug from variations in the responsed networks in thedfferentiated populations with complex diseases,as stable coronary heart ***,in an adaptive,31-center,randomized,double-blind trial invoving 920 patients with moderate symptomatic stable angina treated by 14-day Danhong injection(DHI),a kind of polyphamacological drug with high quality control,or placebo(0.9%saline),with 76-day following-up,we firstly confrmed that DHl couldincrease the proportion of patients with clinically significant changes on angina-frequency assessed by Seattle Angina Questionnaire(ASAQ-AF220)(12.78%at Day 30,95%confidence interval[C]5.86-19.71%,P=0.0003,13.82%at Day 6C0,95%CI 6.82-20.82%,P=0.0001and 8.95%at Day 90,95%CI 2.06-15.85%,P=0.01).We also found that there were no significant differences in new-onset major vascularevents(P=0.8502)and serious adverse events(P=0.9105)between DHl and *** performing the RNA sequencing in 62 selectedpatients,we developed a systemic modular approach tp identfy differentilly expressed modules(DEMs)of DHI with the Z_(summay)valueless than 0 compared with the control group,calculated by weighted gene co-expression network analysis(WGCNA),and sketched out thebasic framework on a modular map with 25 functional modules targeted by ***,the effective therapeutic module(ETM),defined as the highest corelation value with the phenotype alteration(SAQ-AF,the change in SAQ-AF at Day 30 from baseline)calculatedby WGCNA,was identifed in the population with the best effect(ASAQ-AF240),which is related to anticoagulation and regulation ofcholesterol *** assessed the modular flexbility of this ETM using the global topological D value based on Euclidean distance,which is corelated with phenotype alteration(r^(2):0.8204,P=0.019)by linear *** study identified the ant-angina therapeuticmodule in the effective population treated by the multi-target

关键词： angina injection sketch

上海市精神卫生专科医院门诊患者人格病理现况调查

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中华流行病学杂志 2010年第8期31卷 933-937页

作者：张天宏肖泽萍王兰兰戴云飞张海音仇剑签陶明毅王振王虓俞峻翰吴艳茹蒋文晖上海交通大学医学院附属精神卫生中心 200030

目的调查上海市精神卫生专科医院门诊就诊者人格病理的分布及其相关因素.方法采用系统抽样法,在上海市精神卫生中心设抽样点,对就诊于精神科门诊和心理咨询门诊的3075例就诊者进行随机抽查.以DSM-Ⅳ为诊断标准,以人格障碍诊断问卷（PD... 详细信息

目的调查上海市精神卫生专科医院门诊就诊者人格病理的分布及其相关因素.方法采用系统抽样法,在上海市精神卫生中心设抽样点,对就诊于精神科门诊和心理咨询门诊的3075例就诊者进行随机抽查.以DSM-Ⅳ为诊断标准,以人格障碍诊断问卷（PDQ-4＋）为人格障碍筛查工具进行初筛,对筛查阳性者应用轴Ⅱ人格障碍临床访谈（SCID-Ⅱ）进行临床诊断,采用logistic回归模型分析与人格障碍相关的危险因素.结果在所有就诊者中,自评的人格障碍检出率为71.3%,经临床医生结构式访谈后确认符合人格障碍诊断标准的共计982例（31.9%）.低年龄群体（OR=1.8,95%CI：1.5～2.1）、未婚或离异者（OR=1.6,95%CI：1.4～1.9）、心理咨询门诊患者（OR=1.2,95%CI：1.1～1.3）、心境障碍和神经症性障碍患者（OR=1.7,95%CI：1.4～2.0）中符合人格障碍诊断标准的患者比例更高.logistic回归分析提示：年龄小、童年时并非由父母抚养以及病前性格内向是人格障碍的相关危险因素.结论人格障碍在精神卫生服务的对象中并不少见,特别是在就诊于心理咨询的心境障碍、神经症性障碍患者中,提示需要对该群体的人格病理进行积极的识别和干预.

关键词：人格障碍心境障碍神经症性障碍现况调查门诊患者

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2005年中国城市CO2排放数据集

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 E20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

2005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2005年CO_2排放数据的一致性、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

2005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2005年CO_2排放数据的一致性、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2005年中国城市CO_2排放数据集,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,2005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21.76%,中部城市22.70%,东北城市10.95%。

关键词：城市 CO 2排放数据集中国高空间分辨率网格

新思路·新技术——中药复方新药研发相关重大科学和技术问题

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中国药理学与毒理学杂志 2020年第4期34卷 241-260页

作者：蒋宁杜保民杜冠华段大跃方坚松高兴华高秀梅顾金辉郭彦飞侯悦黄晏李琦林志彬刘建勋陆茵吕圭源聂红庞晓斌齐晓甜秦雪梅任巧任远任周新茹祥斌申竹芳石京山孙建宁孙蓉孙晓波王陈王梅王同兴吴春福谢宗杰徐惠波薛云丽杨宝学杨奎余林中张丹参张兰张林张永鹤张永祥赵勤实周玉枝朱焰周文霞军事科学院军事医学研究院毒物药物研究所北京100850 北京北大维信生物科技有限公司北京100094 中国医学科学院北京协和医学院药物研究所北京100050 西南医科大学附属中医医院中医药表型组学中心四川泸州646000 广州中医药大学科技创新中心广东广州510006 中国药科大学江苏南京210009 天津中医药大学天津301617 国家卫生健康委员会科技教育司重大专项处北京100044 东北大学辽宁沈阳110819 中国中医科学院中药研究所北京100700 北京大学基础医学院北京100191 中国中医科学院西苑医院北京100091 南京中医药大学药学院江苏南京210023 浙江中医药大学现代中药与健康产品研究所浙江杭州310053 广东省药效物质基础和创新药物研究重点实验室广东广州510632 河南大学药学院河南开封475004 山东大学高等医学研究院山东济南250012 山西大学中医药现代研究中心山西太原030006 甘肃中医药大学甘肃兰州730000 河南中医药大学河南郑州450046 遵义医科大学贵州遵义563003 北京中医药大学北京100029 中国医学科学院药用植物研究所北京100193 莱顿大学-欧洲中医药和天然化合物中心荷兰莱顿天士力国际基因网络药物创新中心有限公司天津300410 沈阳药科大学辽宁沈阳110016 吉林省中医药科学院吉林长春130012 山东绿叶制药有限公司山东烟台264003 成都中医药大学四川成都611137 南方医科大学广东广州510515 河北科技大学河北石家庄050018 首都医科大学宣武医院北京100053 中国科学院昆明植物研究所云南昆明650201 复旦大学上海200433

"第十二届全国中药与天然药物药理学术会议"于2019年10月11-13日在天津市社会山国际会议中心酒店举行。会议期间,中国药理学会中药与天然药物药理专业委员会召开了"中药复方新药研发相关重大科学和技术问题"专题研讨会。研讨会分为主题... 详细信息

"第十二届全国中药与天然药物药理学术会议"于2019年10月11-13日在天津市社会山国际会议中心酒店举行。会议期间,中国药理学会中药与天然药物药理专业委员会召开了"中药复方新药研发相关重大科学和技术问题"专题研讨会。研讨会分为主题报告和综合讨论2部分。主题报告由中国药理学会中药与天然药物药理专业委员会副主任委员吴春福教授主持,刘建勋、孙晓波、段大跃和吕圭源教授作主题报告。中国药理学会理事长兼中药与天然药物药理专业委员会主任委员张永祥研究员主持综合讨论,国家卫生健康委员会科技教育司重大专项处顾金辉处长全程参加。与会专家围绕中药复方新药研发相关重大科学和技术问题进行了广泛、深入的讨论。本文整理了专家们的主要观点和建议,希望能为中药复方新药研发提供新思路和新技术,为提高我国中药复方新药的研发水平发挥积极的推动作用。

关键词：中药复方新药研发新思路新技术