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Fluorinated graphite nanosheets for ultrahigh-capacity lithium primary batteries

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Rare Metals 2021年第7期40卷 1708-1718页

作者： Xiao-Xia Yang Guan-jun zhang bao-Sheng Bai yu li Yi-Xiao li Yong Yang xian jian Xi-Wen wang Tianjin lishen Special Power Supply Science and Technology Joint-Stock Co. Tianjin 300393China Tianjin lishen Battery Joint-Stock Co. LtdTianjin 300384China School of Materials Science and Engineering Tianjin UniversityTianjin 300354China State Key Laboratory for Physical Chemistry of Solid Surface Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China

For better performances of ni-based catalysts at low temperatures,ni/SiC catalyst doped with a little amount of additive La was successfully *** catalytic CO methanation activity tests showed that 3%La-ni/SiC catalyst was excellent at a low reaction temperature(95.9%CO conversion and 85.1%CH4 selectivity at250℃)with a superior stability compared with ni/SiC(3.4%CO conversion and 0%CH4 selectivity at 250℃).This can be attributed to that the addition of La can markedly improve the dispersibility of active metal ni and reduce the particle sizes of ni nanoparticles or clusters,and can also regulate the interaction between active components and ***,the high thermal conductivity and thermal stability could avoid the generation of hot spots in the catalyst *** results will promote the development of highly active ni-based catalysts for the low-temperature methanation reaction.

关键词： Graphite nanosheets Carbon fluoride Primary battery Electrolyte Soft pack battery

The first data release(DR1) of the LAMOST regular survey

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Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-li Luo Yong-Heng zhao Gang zhao li-Cai Deng Xiao-Wei liu Yi-Peng Jing Gang wang Hao-Tong zhang jian-Rong Shi xiang-Qun Cui Yao-Quan Chu Guo-Ping li Zhong-Rui Bai yue Wu Yan Cai Shu-yun cao Zi-huang cao Jeffrey L.Carlin Hai-yuan chen jian-jun chen Kun-xin chen li chen Xue-Lei chen Xiao-Yan chen ying chen Norbert Christlieb Jia-Ru Chu chen-Zhou Cui Yi-Qiao Dong Bing Du Dong-Wei Fan Lei Feng jian-ning Fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-xin Guo Zhan-Wen Han Bo-liang He Jin-liang Hou Yong-Hui Hou Wen Hou Hong-Zhuan Hu ning-Sheng Hu Zhong-Wen Hu Zhi-ying Huo Lei Jia Fang-hua jiang xiang jiang Zhi-Bo jiang Ge Jin Xiao Kong Xu Kong Ya-Juan Lei Ai-hua li Chang-hua li Guang-Wei li Hai-ning li jian li Qi li Shuang li Sha-Sha li xin-Nan li Yan li Yin-Bi li Ye-Ping li yuan liang Chien-cheng lin chao liu Gen-Rong liu Guan-Qun liu Zhi-Gang liu Wen-Zhi Lu yu Luo Yin-Dun Mao Heidi Newberg Ji-jun ni zhao-xiang Qi Yong-jun Qi Shi-Yin Shen Huo-Ming Shi Jing Song Yi-Han Song Ding-Qiang Su Hong-jun Su Zheng-Hong Tang Qing-Sheng Tao yuan Tian Dan wang Da-Qi wang Feng-Fei wang Guo-Min wang Hai wang Hong-Chi wang jian wang Jia-ning wang jian-ling wang jian-Ping wang jun-xian wang Lei wang Meng-xin wang Shou-Guan wang Shu-Qing wang Xia wang Ya-Nan wang You wang yue-Fei wang You-Fen wang Peng Wei Ming-Zhi Wei Hong Wu Ke-Fei Wu Xue-Bing Wu yu-Zhong Wu Xiao-Zheng xing ling-Zhe Xu xin-Qi Xu Yan Xu Tai-Sheng Yan De-hua Yang Hai-Feng Yang Hui-Qin Yang Ming Yang Zheng-Qiu Yao Yong yu Hui yuan Hai-Bo yuan Hai-Long yuan Wei-Min yuan chao Zhai En-Peng zhang hua-Wei zhang jian-Nan zhang li-Pin zhang Wei zhang Yong zhang Yan-Xia zhang Zheng-chao zhang Ming zhao Fang Zhou Xu Zhou Jie Zhu Yong-Tian Zhu Si-cheng Zou Fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in june 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in june 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

Timing analysis of the black hole candidate EXO 1846–031 with Insight-HXMT monitoring

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Research in Astronomy and Astrophysics 2021年第3期21卷 193-204页

作者： He-xin liu yue huang Guang-cheng Xiao Qing-Cui Bu Jin-Lu Qu Shu zhang Shuang-Nan zhang Shu-Mei Jia Fang-jun Lu xiang Ma lian Tao Wei zhang li chen li-Ming Song Ti-Pei li yu-Peng Xu Xue-Lei cao Yong chen Cong-Zhan liu Ce Cai Zhi Chang Gang chen Tian-xiang chen Yi-bao chen yu-Peng chen Wei Cui Wei-Wei Cui Jing-Kang Deng Yong-Wei Dong yuan-yuan Du Min-Xue Fu Guan-hua Gao He Gao Min Gao Ming-yu Ge yu-Dong Gu Ju Guan cheng-cheng Guo Da-Wei Han Jia Huo Lu-hua jiang Wei-Chun jiang Jing Jin Yong-Jie Jin ling-Da Kong Bing li cheng-Kui li Gang li Mao-Shun li Wei li xian li Xiao-Bo li Xu-Fang li Yang-Guo li Zheng-Wei li Xiao-hua liang Jing-yuan liao Bai-Sheng liu Guo-Qing liu Hong-Wei liu Xiao-Jing liu Yi-Nong liu Bo Lu Xue-Feng Lu Qi Luo Tao Luo Bin Meng Yi Nang jian-Yin nie Ge Ou Na Sai Ren-cheng Shang xin-ying Song liang Sun ying Tan You-li Tuo chen wang Guo-Feng wang Juan wang ling-jun wang Weng-Shuai wang yu-Sa wang xiang-Yang Wen Bai-Yang Wu Bo-Bing Wu Mei Wu Shuo Xiao Shao-lin Xiong He Xu Jia-Wei Yang Sheng Yang Yan-Ji Yang Yi-jung Yang Qi-Bin Yi Qian-Qing Yin yuan You Ai-Mei zhang cheng-Mo zhang Fan zhang Hong-Mei zhang Juan zhang Tong zhang Wan-Chang zhang Wen-zhao zhang Yi zhang Yi-Fei zhang Yong-Jie zhang yuan-Hang zhang yue zhang zhao zhang Zhi zhang Zi-liang zhang Hai-Sheng zhao Xiao-Fan zhao Shi-Jie Zheng Yao-Guang Zheng Deng-Ke Zhou jian-Feng Zhou yu-Xuan Zhu Ren-lin Zhuang yue Zhu Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China Institut fur Astronomie und Astrophysik Kepler Center for Astro and Particle PhysicsEberhard Karls Universität72076 TubingenGermany Department of Astronomy Beijing Normal UniversityBeijing 100088China Department of Astronomy Tsinghua UniversityBeijing 100084China Department of Physics Tsinghua UniversityBeijing 100084China Department of Engineering Physics Tsinghua UniversityBeijing 100084China Key Laboratory of Space Astronomy and Technology National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China College of Physics Sciences&Technology Hebei UniversityBaoding 071002Hebei ProvinceChina

We present the observational results from a detailed timing analysis of the black hole candidate EXO 1846-031 during its outburst in 2019 with the observations of Insight-HXMT,niCER and *** outburst can be classified roughly into four different ***-C quasi-periodic oscillations(QPOs)observed by niCER(about 0.1-6 Hz)and Insight-HXMT(about 0.7-8 Hz)are also reported in this ***,we study various physical quantities related to QPO *** QPO rms-frequency relationship in the energy band 1-10 keV indicates that there is a turning pointing in frequency around2 Hz,which is similar to that of GRS 1915+105.A possible hypothesis for the relationship above may be related to the inclination of the source,which may require a high inclination to explain *** relationships between QPO frequency and QPO rms,hardness,total fractional rms and count rate have also been found in other transient sources,which can indicate that the origin of type-C QPOs is non-thermal.

关键词： X-ray binaries black hole candidate QPO EXO 1846–031

Lung-protective Ventilation in Patients with Brain Injury： A Multicenter Cross-sectional Study and Questionnaire Survey in China

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Chinese Medical Journal 2016年第14期129卷 1643-1651页

作者： Xu-ying Luo ying-Hong Hu xiang-yuan cao Yan Kang li-Ping liu Shou-Hong wang Rong-Guo yu xiang-You yu Xia zhang bao-Shan li Zeng-xiang Ma Yi-Bing Weng Heng zhang De-Chang chen Wei chen Wen-Jin chen Xiu-Mei chen Bin Du Mei-li Duan Jin Hu yun-Feng Hoang Gui-jun Jia li-Hong li yu-Min liang Bing-yu Qin xian-Dong wang jian Xiong li-Mei Yan Zheng-Ping Yang chen-Ming Dong Dong-xin wang Qing-yuan Zhan Shuang-lin FU lin zhao Qi-Bing huang ying-Guang Xie Xiao-Bo huang Guo-Bin zhang wang-Bin Xu yuan Xu Yaling liu He-ling zhao Rong-Qing Sun Ming Sun Qing-Hong cheng xin Qu Xiao-Feng Yang Ming Xu Zhong-hua Shi Han chen Xuan He Yan-lin Yang Guang-Qiang chen Xiu-Mei Sun jian-xin Zhou Department of Critical Care Medicine Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou Zhejiang 310009 China Department of Critical Care Medicine General Hospital of Ningxia Medical University Yinchuan Ningxia 750004 China Department of Critical Care Medicine West China Hospital Sichuan University Chengdu Sichuan 610041 China Neurological Intensive Care Unit Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Guangdong General Hospital Guangzhou Guangdong 510000 China Surgical Intensive Care Unit Fujian Province Hospital Fuzhou Fujian 350000 China Department of Critical Care Medicine First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang 830054 China Department of Critical Care Medicine Bethune International Peace Hospital Shijiazhuang Hebei 050000 China Department of Critical Care Medicine Yuncheng Central Hospital Yuncheng Shanxi 044000 China Department of Emergency and Critical Care Medicine Cangzhou People's Hospital Cangzhou Hebei 061000 China Department of Critical Care Medicine Beijing Luhe Hospital Capital Medical University Beijing 101100 China Department of Critical Care Medicine First Hospital of China Medical University Shenyang Liaoning 110000 China Department of Critical Care Medicine Shanghai Changzheng Hospital Shanghai 200000 China Department of Critical Care Medicine Beijing Shijitan Hospital Capital Medical University Beijing 100038 China Department of Critical Care Medicine Xuanwu Hospital Capital Medical University Beijing 100053 China Department of Critical Care Medicine Miyun County Hospital Beijing 100038 China Medical Intensive Care Unit Peking Union Medical College Hospital Beijing 101500 China Department of Critical Care Medicine Beijing Friendship Hospital Capital Medical University Beijing 100050 Chin

Background： Over the years, the mechanical ventilation （MV） strategy has changed worldwide. The aim of the present study was to describe the ventilation practices, particularly lung-protective ventilation （LPV）, among brain-injured patients in China. Methods： This study was a multicenter, 1-day, cross-sectional study in 47 Intensive Care Units （ICUs） across China. Mechanically ventilated patients （18 years and older） with brain injury in a participating ICU during the time of the study, including traumatic brain injury, stroke, postoperation with intracranial tumor, hypoxic-ischemic encephalopathy, intracranial infection, and idiopathic epilepsy, were enrolled. Demographic data, primary diagnoses, indications for MV, MV modes and settings, and prognoses on the 60th day were collected. Multivariable logistic analysis was used to assess factors that might affect the use of LPV. Results： A total of 104 patients were enrolled in the present study, 87 （83.7%） of whom were identified with severe brain injury based on a Glasgow Coma Scale 〈8 points. Synchronized intermittent mandatory ventilation （SIMV） was the most frequent ventilator mode, accounting for 46.2% of the entire cohort. The median tidal volume was set to 8.0 ml/kg （interquartile range [IQR], 7.0-8.9 ml/kg） of the predicted body weight; 50 （48.1%） patients received LPV. The median positive end-expiratory pressure （PEEP） was set to 5 cmH20 （IQR, 5-5 cmH20）. No PEEP values were higher than 10 cmH20. Compared with partially mandatory ventilation, supportive and spontaneous ventilation practices were associated with LPV. There were no significant differences in mortality and MV duration between patients subjected to LPV and those were not. Conclusions： Among brain-injured patients in China, SIMV was the most frequent ventilation mode. Nearly one-half of the brain-injured patients received LPV. Patients under supportive and spontaneous ventilation were more likely to receive LPV.

关键词： Brain Injury Epidemiology Lung-protective Ventilation Mechanical Ventilation

Consensus statement on layout and delivery of automatic external defibrillator in China

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Journal of Hainan Medical University 2020年第15期26卷 18-23页

作者： yu cao Song chen Yan-Fen Chai Xiao-Hui chen yu-Guo chen Shao-Wen cheng Wen-Wei cheng Bang-Han Ding Yang Deng Jie Fu Bang-jiang Fang Mai-ying Fan li Gui Ping Gong Wei Guo Shu-Bin Guo liang huang Ji-yuan Han Zhong Ji xian-Fei Ji xin-Cai Ji Hong-Xu Jin xin-jun jiang wang-xiang jiang Jia-liang liu Xiao-Ran liu Zhi liu Chuan-Zhu Lv Feng Lu Tan-Shi li xin li Yong li Shang-Lun li Shuang-Ming li Xiao-Gang li bao-jun li Pei-Wu li Chun-Sheng li Zhi-jun li Chang-Luo li xiang-Min li Yin-Ping li Zong-jun Lu Zu-Xun Lu Zhong-Qiu Lu Zhi-Qian Luo Xiao-xing liao jian-Bo Lei Tao Ma yu Ma yue-Feng Ma Qing-Bian Ma lin-Hao Ma jun-Qi Ma Shi-Nan nie Jie-Miao Ou-Yang Peng Peng Qiao Pei Shu-Ming Pan Guo-Zhong Qing li-Jie Qin Wu-ying Qiao Fei Shao Wei Song xing-yue Song Zhen-Ju Song Rong-Ju Sun De-Ya Shang Du-Juan Sha Gui-Lan Tao Guo-Gang Tian ying-Ping Tian jian-Guang Tian chao-Yang Tong Zi-Ren Tang Meng-Xiong Tang Guo-Ping Wu Zhi Wan Tao wang xin wang Peng wang Zhong wang Tong wang Ri-xing wang Yi-xin wang Xiao-Dan wang ling Wu Wei Wei hua xiang Feng Xu jun Xu Jie Xu Miao-Rong Xie Shuo-Gui Xu Tie Xu Feng yu Wen Yi li-Shan Yang Shi-Jiao Yan Jin-jian Yao Shou-Chun Yan Xue-Zhong yu xian-Zhi Ye xian-liang Yan Fu-Bing Zhou Rong-Bin Zhou Ming Zhou Qiang Zhou Jin Zhou Ping Zhou Chang-Ju Zhu hua-Dong Zhu Ji-Hong Zhu Hong zhang Mao zhang hua zhang Na zhang Guo-Qiang zhang Guo-Xiu zhang Jin-Song zhang Wen-Wu zhang Wen-Zhong zhang jian-Feng zhang Yi-Min Zhu jun Zeng yuan Zheng Zhi-Jie Zheng Shen zhao Yan zhao Min zhao Bin zhao Xiao-Dong zhao Xiao-Jing zhao Hong-Ke Zeng Sheng-Qiang Zou The Chinese Society of Emergency Medicine Research Unit of Island Emergency Medicine Chinese Academy of Medical SciencesHainan Medical University Key Laboratory of Emergency and Trauma of Ministry of Education Hainan Medical UniversityHaikouHainanChina Emergency and Trauma College Hainan Medical UniversityHaikouHainanChina Department of Emergency Hainan Clinical Research Center for Acute and Critical DiseasesThe Second Affiliated Hospital of Hainan Medical UniversityHaikouHainanChina Key Laboratory of Hainan Trauma and Disaster Rescue Key Laboratory of Trauma of Hainan Medical University

*** Sudden cardiac death(SCD)refers to sudden death due to a variety of cardiac *** is manifested as a sudden loss of consciousness,cardiac arrest,and respiratory arrest and generally shows early symptoms that are atypical and not easily detected[1].According to a recent study,nearly 544000 patients suffer from SCD every year in China[2].

关键词： cardiac death respiratory

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 Tian-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 2428 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

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

2017年中国ICU患者营养治疗实施状况横断面调查

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解放军医学杂志 2019年第5期44卷 388-393页

作者：邢娟章仲恒柯路周晶秦秉玉梁宏开陈晓梅刘文明刘忠民艾宇航王迪芬王秋卉周青山张福森钱克俭蒋东坡臧彬黎毅敏黄晓波曲彦谢颖光许东琳邹志强郑祥德刘建波郭丰梁亚风孙强高红梅刘阳常平程爱斌杨荣利么改琦孙昀王晓蓉张怡熊旭明于健孙荣青李志伟袁世荧宋云林高培阳刘海燕张朝辉吴允孚马标郭强山峰杨明施李海玲李圆菲鲁卫华王磊钱传云王智勇林建东张汝敏万鹏彭志勇龚裕强黄林喜伍国宝孙洁邓义军师东武周立新周发春石秦东郭晓东刘雪燕武卫东孟祥忠李连弟陈炜炜李树生万献尧曹志新张安古利明陈炜吴京兰周丽华张震环翁以炳封永顺杨春丽冯永健赵素民佟飞郝东韩辉付宝才巩传勇李志平胡琨琳寇秋野张晗刘洁樊楚明周新陈秀梅孙俊丽周学军宋斌孙诚赵丽芸董兴鲁张琳琳佟大为潘志国蔡常洁王东浩董英俊龚园其吴志松孟新科王平李维勤南京医科大学金陵临床医学院南京210002 无锡人民医院江苏无锡214001 北京市密云区医院北京101500 洛阳市中心医院河南洛阳471009 北京市怀柔区第一医院北京101400 陆军总医院北京100700 广东省人民医院广州510080 广东省第二中医院广州510095 北京中医医院北京100010 安徽省立医院西院区合肥230001 沈阳市第一人民医院沈阳110041 南部战区总医院广州510050 湖北省人民医院武汉430060 中山大学附属第一医院广州510080 天津市肿瘤医院天津300060 山西省肿瘤医院太原030000 南昌大学第二附属医院南昌330006 北京中医药大学东方医院北京100029 深圳第二人民医院广东深圳100730 成都市第五人民医院成都611130 泰安市中心医院山东泰安271000 南昌大学第一附属医院南昌330006 陆军军医大学大坪医院重庆400042 中国医科大学附属第二医院沈阳110004 广州医科大学附属第一医院广州510120 四川省人民医院成都610072 青岛市立医院青岛266071 济宁市第一人民医院山东济宁272000 浙江大学医学院附属邵逸夫医院杭州310016 广州市第一人民医院广州510000 福建医科大学附属协和医院福州350001 达州市中心医院四川达州635000 内蒙古自治区人民医院呼和浩特010017 烟台毓璜顶医院山东烟台264000 天津市人民医院天津300000 天津市第一中心医院天津300192 唐山市工人医院河北唐山063000 南方医科大学珠江医院广州510515 华北理工大学附属医院河北唐山063210 河南省人民医院郑州450003 大连市中心医院辽宁大连116033 北京大学第三医院北京100083 安徽医科大学第二附属医院合肥230601 温州医科大学附属第一医院浙江温州325000 陕西省人民医院西安710068 广州医科大学附属第二医院广州510120 大连医科大学附属第二医院辽宁大连116011 郑州大学第一附属医院郑州450052 昆明市第一人民医院昆明650011 华中科技大学同济医学院附属协和医院武汉430030 中山市人民医院广东中山528403 新疆医科大学第一附属医院乌鲁木齐830054 成都中医药大学附属医院成都610075 安徽医科大学第一附属医院合肥230032 宜昌市中心人民医院湖北宜昌443003 苏州市立医院东区江苏苏州215008 济宁医学院附属医院山东济宁272000 苏州大学附属第一人民医院江苏苏州215006 青岛大学医学院附属医院东院区山东青岛266071 中南大学湘雅三医院长沙410013 海军第971医院山东青岛266073 山东大学齐鲁医院济南250012 长沙市中心医院长沙410000 皖南医学院弋矶山医院安徽芜湖241002 山西医科大学第一医院太原030001 昆明医科大学第一附属医院昆明650032 河北医科大学第三医院石家庄050017 福建医科大学附属第一医院福州350004 淄博市中心医院山东淄博100085 宜昌市第一人民医院湖北宜昌443003 武汉大学中南医院武汉430071 温州医科大学附属第二医院浙江温州325035 常州市第二人民医院江苏常州213003 汕头大学医学院第一附属医院广东汕头515041 中南大学湘雅二医院长沙410013 云南省第二人民医院昆明650021 盐城市第一人民医院江苏盐城224006 山西省人民医院太原030012 佛山市第一人民医院广东佛山528000 重庆医科大学附属第一医院重庆400016 西安交通大学第一附属医院西安710061 解放军总医院第三医学中心北京100039 深圳市人民医院广东深圳518001 吉林大学第一医院长春130031 山西医学科学院山西大医院太原030032 解放军第254医院天津300142 青岛大学附属医院山东青岛266003 临海市第一人民医院浙江台州317000 华中科技大学同济医学院附属同济医院武汉430030 大连医科大学附属第一医院辽宁大连116011 北京朝阳医院京西院区北京100043 重庆医科大学附属第二医院重庆400016 玉溪市人民医院云南玉溪653405 首都医科大学世纪坛医院北京100036 中南大学湘雅医院长沙410013 深圳市南山人民医院广东深圳518067 内蒙古医科大学附属医院呼和浩特010050 南京明基医院南京210019 首都医科大学附属北京潞河医院北京101149 京煤集团总医院北京102300 江西省人民医院南昌330006 暨南大学附属第一医院广

目的了解国内ICU收治患者的营养治疗实施状况。方法对国内116家医院的118个ICU内的患者进行营养治疗实施状况的横断面调查。以2017年4月26日0时所有在ICU内治疗的患者为调查对象,收集患者基本信息、2017年4月25日(即调查日)的营养实施... 详细信息

目的了解国内ICU收治患者的营养治疗实施状况。方法对国内116家医院的118个ICU内的患者进行营养治疗实施状况的横断面调查。以2017年4月26日0时所有在ICU内治疗的患者为调查对象,收集患者基本信息、2017年4月25日(即调查日)的营养实施和胃肠道耐受情况,以及患者的28 d临床转归情况。结果调查共收集病例1953例,女631例(32.4%),男1306例(66.9%),缺失16例(0.7%);年龄(64.1±19.3)岁(1950例)。患者GCS、SOFA和APACHEⅡ评分分别为(10.76±4.35)分(1749例)、(5.65±3.52)分(1783例)、(17.14±7.31)分(1792例)。28 d临床转归存活1483例(75.9%),死亡312例(16.0%),失访+缺失158例(8.1%)。除身高和体重(P=0.000)外,男性与女性患者在年龄、病情严重程度及28 d临床转归等方面差异均无统计学意义。1953例患者中,胃肠功能评估为正常或轻度损害占73.7%(1440例),中-重度损害占10.8%(210例),衰竭占1.7%(33例),13.2%(258例)的患者未做评估。截至调查日,69.4%(1356例)的患者已启动肠内营养(EN),36.4%(711例)的患者已启动肠外营养(PN)。调查日有营养摄入的患者1720例(88.1%)。1953例患者中明确有恶心、呕吐反流、误吸、腹痛、腹胀、腹泻(大便次数≥3次/d且量≥500 ml/d)等胃肠道不耐受表现的分别占总人数的4.8%(93例)、5.4%(105例)、0.9%(17例)、8.7%(170例)、27.5%(538例)和4.3%(84例)。在1270例使用EN的病例中,明确存在恶心、呕吐反流、误吸、腹痛、腹胀、腹泻等不耐受症状的分别占3.2%(40例)、4.3%(54例)、0.8%(10例)、4.4%(56例)、26.9%(341例)和5.4%(69例)。入ICU后24 h内开始EN治疗的患者占22.4%(437/1953),48 h内开始的占38.6%(754/1953),72 h内开始的占46.6%(911/1953)。患者入ICU后3 d总热卡(EN+PN非蛋白热卡)达标率为12.9%(78/607),7 d总热卡达标率为18.7%(189/1010),14 d总热卡的达标率为23.0%(305/1325)。入ICU后3、7、14 dEN达标率分别为9.9%(60/607)、15.0%(151/1010)和18.6%(246/1325)。结论目前我国ICU内的绝大多数患者均接受了营养治疗,其中EN的使用率明显高于PN;但EN的开始时间和达标情况仍不理想,且实施营养治疗时未能体现个体化差异,营养治疗的细节仍需要提高。

关键词：横断面研究肠内营养重症监护病房胃肠道耐受性营养达标率

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中国地层花粉数据集

植物生态学报 2023年第10期47卷 1453-1463页

作者：周伯睿廖梦娜李凯徐德宇陈海燕倪健曹现勇孔昭宸许清海张芸 Ulrike HERZSCHUH 蔡永立陈碧珊陈敬安陈陵康程波高洋黄赐璇黄小忠李升峰李文漪廖淦标刘光琇刘平妹刘兴起马春梅宋长青孙湘君唐领余王曼华王永波夏玉梅徐家声阎顺羊向东姚轶锋叶传永张志勇赵增友郑卓朱诚浙江师范大学化学与生命科学学院浙江金华321004 浙江金华山亚热带森林生态系统野外科学观测研究站浙江金华321004 中国科学院青藏高原研究所青藏高原地球系统科学国家重点实验室北京100101 中国科学院植物研究所植被与环境变化国家重点实验室北京100093 河北师范大学资源与环境科学学院石家庄050027 Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Potsdam 14473Germany 上海交通大学设计学院上海200240 岭南师范学院地理科学学院广东湛江524048 中国科学院地球化学研究所环境地球化学国家重点实验室贵阳550081 广东石油化工学院理学院广东茂名525000 华中师范大学城市与环境科学学院武汉430079 贵州师范大学喀斯特研究院贵阳550001 中国科学院地理科学与自然资源研究所北京100101 兰州大学环境资源学院兰州730000 南京大学地理与海洋科学学院南京210023 Department of Oceanography and Coastal Sciences Louisiana State UniversityBaton RougeLA 70803USA 中国科学院西北生态环境资源研究院兰州730000 台湾大学地质科学系中国台北10617 首都师范大学资源环境与旅游学院北京100048 北京师范大学地表过程与资源生态国家重点实验室北京100875 同济大学海洋与地球科学学院上海200092 中国科学院南京地质古生物研究所南京210008 鲁东大学资源与环境工程学院山东烟台264025 中国科学院东北地理与农业生态研究所长春130102 自然资源部第一海洋研究所山东青岛266061 中国科学院新疆生态与地理研究所乌鲁木齐830011 中国科学院南京地理与湖泊研究所南京210008 中国科学院植物研究所系统与进化植物学国家重点实验室北京100093 中国地质科学院矿产资源研究所北京100037 中国科学院庐山植物园江西九江332900 西南大学地理科学学院重庆400715 中山大学地球科学与工程学院广州510275

地层孢粉数据是古植被和古气候重建等古环境研究的重要基础。孢粉数据库推动古环境研究从点到区域和全球尺度,从定性到定量,从而实现在大空间尺度和长时间序列上探索植被、气候和人类干扰的相互关系,以更好地理解地球系统的演变。该数... 详细信息

地层孢粉数据是古植被和古气候重建等古环境研究的重要基础。孢粉数据库推动古环境研究从点到区域和全球尺度,从定性到定量,从而实现在大空间尺度和长时间序列上探索植被、气候和人类干扰的相互关系,以更好地理解地球系统的演变。该数据集整合了全国第四纪末期(5万年以来)共372个地层花粉序列,涵盖790个花粉类群,样点分布于中国30个省级行政区与领海。数据集包含地层花粉采样点的地名、经纬度坐标和海拔高度、数据来源、样品类型、沉积物长度、样品数量、测年方法及测年数量、时间跨度和参考文献,以及每个采样点的花粉含量百分比。数据主要来源于20世纪80年代至今。采样点集中分布在温带和亚热带森林、温带草原和荒漠以及青藏高原高寒植被区域;在深海到青藏高原不同海拔高度都有分布,但集中在海拔2000 m之下。按照数据来源区分,原始数据样点178个,占47.8%;数值化数据194个,占52.2%。按照样品类型分类,多数样点为湖泊样品(151个)、冲积物/洪积物样品(99个)与泥炭样品(67个),占总样点数的85.2%。年代测定的主要方法为放射性碳同位素手段(占样品总数的93.8%),大部分记录有2-10个测年数据。采样点的平均花粉类群数量是19个,以4-30个花粉类群的采样点最多。代表性花粉类群(松属(Pinus)、栎属(Quercus)、蒿属(Artemisia)、禾本科)含量的时空分布格局表明,从末次盛冰期到全新世,这些花粉科属的分布范围扩大,含量也增加,但分布区域具有分异。半个多世纪以来,孢粉学工作者建立中国大部分地区的地层花粉记录,为探究古环境演变及其气候变化、人类活动驱动机制奠定了重要的基础。

关键词：花粉数据库地层花粉第四纪末期古植被古气候