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The ming proposal at SHINE:megahertz cavity enhanced X‑ray generation

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Nuclear Science and Techniques 2023年第1期34卷 51-85页

作者： Nan‑Shun huang Zi‑Peng liu Bang‑jie Deng Zi‑Han zhu Shao‑hua Li Tao liu zheng Qi Jia‑Wei yan Wei Zhang Sheng‑wang Xiang yang‑yang Lei ya zhu Yong‑Zhou He Qi‑bing Yuan Fei Gao Rong‑bing Deng Sen Sun Zhi‑Di Lei Zhi‑Qiang jiang Meng‑Qi Duan Yuan zhuan Xue‑Fang huang Peng‑Cheng Dong Zhong‑liang Li Shang‑Yu si Lian Xue si Chen Yong‑Fang liu ya‑Jun Tong Hai‑xiao Deng zhen‑Tang Zhao Zhangjiang Laboratory Shanghai 201210China School of Nuclear Science and Technology Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China University of Chinese Academy of Sciences Beijing 100049China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China European XFEL Schenefeld 22869Germany ShanghaiTech University Shanghai 201210China

The cavity-based X-ray free-electron laser(XFEL)has promise in producing fully coherent pulses with a bandwidth of a few meV and very stable intensity,whereas the currently existing self-amplified spontaneous emission(SASE)XFEL is capable of generating ultra-short pulses with chaotic *** general,a cavity-based XFEL can provide a spectral brightness three orders of magnitude higher than that of the SASE mode,thereby opening a new door for cutting-edge scientific *** the development of superconducting MHz repetition-rate XFEL facilities such as FLASH,European-XFEL,LCLS-II,and SHINE,practical cavity-based XFEL operations are becoming increasingly *** this study,megahertz cavity enhanced X-ray generation(ming)is proposed based on China’s first hard XFEL facility-SHINE,which we refer to as ming@SHINE.

关键词： X-ray free-electron laser Free electron laser oscillator Fully coherent X-ray

Genetic analysis of walnut cultivars from southwest China:Implications for germplasm improvement

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Plant Diversity 2022年第6期44卷 530-541页

作者： Moses C.Wambulwa Peng-zhen Fan Richard Milne Zeng-Yuan Wu ya-huang Luo Yue-hua wang Hong wang Lian-ming Gao Zuo-Ying Xiahou Ye-Chuan Jin Lin-jiang Ye Zu-Chang Xu Zhi-Chun yang De-zhu Li jie liu CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming650201YunnanChina Germplasm Bank of Wild Species Kunming Institute of BotanyChinese Academy of SciencesKunming650201YunnanChina Department of Life Sciences South Eastern Kenya University170-90200KituiKenya University of the Chinese Academy of Sciences Beijing100049China Institute of Molecular Plant Sciences School of Biological SciencesUniversity of EdinburghEdinburghUK School of School of Ecology and Environmental Science Yunnan UniversityKunming650091YunnanChina yangbi Forestry and Grassland Administration Dali672500YunnanChina College of Life Sciences University of Chinese Academy of SciencesKunming650201YunnanChina

Walnuts are highly valued for their rich nutritional profile and wide medicinal *** demand has led to the intensification of breeding activities in major walnut production areas such as southwest China,in order to develop more superior *** the increasing number of cultivars,accurate identification becomes fundamental to selecting the right cultivar for grafting,industrial processing or development of new *** ensure proper identification of cultivars and understand the genetic structure of wild and cultivated material,we genotyped 362 cultivated and wild individuals of walnut trees from southwest China(with two additional populations from Xinjiang,plus three cultivars from Canada,France and Belgium) using 36 polymorphic microsatellite *** found relatively low indices of genetic diversity(H_(O)=0.570,H_(E)=0.404,N_(A)=2.345) as well as a high level of clonality(>85% of cultivars),indicating reliance on genetically narrow sources of parental material for *** STRUCTURE and PCoA analyses generally delineated the two species,though considerable levels of introgression were also *** significantly,we detected a distinct genetic group of cultivated Juglans sigillata,which mainly comprised individuals of the popular ’yangbidapao’ ***,a core set of 18 SSR loci was selected,which was capable of identifying 32 *** a nutshell,our results call for more utilization of genetically disparate material,including wild walnut trees,as parental sources to breed for more *** data reported herein will significantly contribute towards the genetic improvement and conservation of the walnut germplasm in southwest China.

关键词： Cultivars Genetic diversity Juglans sigillata Southwest China Walnut

Frontiers in high entropy alloys and high entropy functional materials

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Rare Metals 2024年第10期43卷 4639-4776页

作者： Wen-Tao Zhang Xue-Qian wang Feng-Qi Zhang xiao-ya Cui bing-bing Fan Jia-ming Guo Zhi-Min Guo Rui huang Wen huang Xu-Bo Li Meng-Ru Li yan Ma Zhi-hua Shen Yong-Gang Sun De-zhuang wang Fei-yang wang Li-Qiang wang Nan wang Tian-Li wang Wei wang xiao-yang wang Yi-Han wang Fu-jie Yu Yu-zhen Yin Ling-Kun Zhang Yi Zhang Jian-yang Zhang Qi Zhao Yu-Ping Zhao Xin-Dong zhu yasir Sohail ya-Nan Chen Tao Feng Qi-Long Gao Hai-yan He Yong-jiang huang Zeng-Bao Jiao hua Ji yao jiang Qiang Li xiao-ming Li Wei-bing Liao huai-Jun Lin Hui liu Qi liu Qing-Feng liu Wei-Di liu Xiong-Jun liu yang Lu Yi-Ping Lu Wen Ma Xue-Fei Miao jie Pan Qing wang Hong-Hui Wu Yuan Wu Tao yang Wei-ming yang Qian Yu Jin-Yu Zhang Zhi-Gang Chen liang Mao yang Ren Bao-Long Shen Xun-Li wang Zhe Jia He zhu zhen-Duo Wu si Lan School of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China jiangsu Key Laboratory for Advanced Metallic Materials School of Materials Science and EngineeringSoutheast UniversityNanjing 211189China Department of Physics City University of Hong KongHongKong 999077China School of Materials Science and Engineering Tianjin UniversityTianjin 300072China School of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001China Department of Mechanical Engineering Research Institute for Advanced ManufacturingThe Hong Kong Polytechnic UniversityHong Kong 100872China Center of Electron Microscopy and State Key Laboratory of silicon Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China Institute of Advanced Wear&Corrosion Resistance and Functional Materials Jinan UniversityGuangzhou 510632China School of Mechanics and Civil Engineering China University of Mining and TechnologyXuzhou 221116China School of Physical Sciences Great Bay UniversityDongguan 523000China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringNanjing Tech UniversityNanjing 211816China Beijing Advanced Innovation Center for Materials Genome Engineering Research Institute for Carbon NeutralityUniversity of Science and Technology BeijingBeijing 100083China Department of Mechanical Engineering The University of Hong KongHong Kong 999077China School of Computing Macquarie UniversitySydney 2113Australia Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China State Key Laborato

Owing to their exceptional properties,high-entropy alloys(HEAs)and high-entropy materials have emerged as promising research areas and shown diverse ***,the recent advances in the field are comprehensively reviewed,organized into five *** first section introduces the background of HEAs,covering their definition,significance,application prospects,basic properties,design principles,and *** subsequent section focuses on cutting-edge high-entropy structural materials,highlighting developments such as nanostructured alloys,grain boundary engineering,eutectic systems,cryogenic alloys,thin films,micro-nano-lattice structures,additive manufacturing,high entropy metallic glasses,nano-precipitate strengthened alloys,composition modulation,alloy fibers,and refractory *** the following section,the emphasis shifts to functional materials,exploring HEAs as catalysts,magneto-caloric materials,corrosion-resistant alloys,radiation-resistant alloys,hydrogen storage systems,and materials for ***,the review encompasses functional high-entropy materials outside the realm of alloys,including thermoelectric,quantum dots,nanooxide catalysts,energy storage materials,negative thermal expansion ceramics,and high-entropy wave absorption *** paper concludes with an outlook,discussing future directions and potential growth areas in the *** this comprehensive review,researchers,engineers,and scientists may gain valuable insights into the recent progress and opportunities for further exploration in the exciting domains of high-entropy alloys and functional materials.

关键词： High entropy alloys Cutting-edge structural materials Cutting-edgefunctional materials

Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

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Biomedical and Environmental Sciences 2020年第12期33卷 893-905页

作者： MA yan zhu Dong Shan CHEN Ren Bo SHI Nan Nan liu si Hong FAN Yi Pin WU gui Hui yaNG Pu Ye BAI jiang Feng CHEN Hong CHEN Li Ying FENG Qiao GUO Tuan Mao HOU Yong HU gui Fen HU xiao Mei HU Yun Hong huaNG Jin huaNG Qiu hua huaNG Shao zhen JI liang JIN Hai Hao LEI xiao LI Chun yan LI Min Qing LI Qun Tang LI Xian Yong liu Hong De liu Jin Ping liu Zhang MA Yu Ting MAO ya MO liu Fen NA Hui wang Jing Wei SONG Fang Li SUN Sheng wang Dong Ting wang ming Xuan wang xiao yan wang Yin zhen wang Yu Dong WU Wei WU Lan Ping xiao yan hua XIE Hai Jun XU Hong ming XU Shou Fang XUE Rui Xia yaNG Chun yaNG Kai Jun YUAN Sheng Li ZHANG Gong Qi ZHANG Jin Bo ZHANG Lin Song ZHAO Shu Sen ZHAO Wan Ying zhenG Kai ZHOU Ying Chun zhu Jun Teng zhu Tian Qing ZHANG hua Min wang yan Ping wang Yong yan 无 Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for Health Management and Policy Research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina President's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific Research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

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

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)

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Research in Astronomy and Astrophysics 2012年第9期12卷 1197-1242页

作者： Xiang-Qun Cui Yong-Heng Zhao yao-Quan Chu Guo-Ping Li Qi Li Li-Ping Zhang Hong-Jun Su zheng-Qiu yao ya-Nan wang xiao-zheng Xing Xin-Nan Li Yong-Tian zhu Gang wang Bo-Zhong Gu A-Li Luo Xin-Qi Xu zhen-Chao Zhang Gen-Rong liu Hao-Tong Zhang De-hua yang Shu-Yun Cao Hai-Yuan Chen Jian-Jun Chen Kun-Xin Chen Ying Chen Jia-Ru Chu Lei Feng Xue-Fei Gong Yong-Hui Hou Hong-zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Lei Jia Fang-hua jiang Xiang jiang Zi-Bo jiang Ge Jin Ai-hua Li yan Li Ye-Ping Li Guan-Qunliu Zhi-Gang liu Huo-ming Shi zheng-Hong Tang Qing-Sheng Tao Xiang-yan Yuan Chao Zhai Jing Zhang yan-Xia Zhang Yong Zhang ming Zhao Fang Zhou Guo-hua Zhou jie zhu si-Cheng Zou National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China yzhao @ *** Nanjing Institute of Astronomical Optics and Technology National Astronomical ObservatoriesChinese Academy of Sciences Nanjing 210042 China University of Science and Tecfinologyof China Hefei 230026 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai 200030 China Institute of Architecture Design and Research Chinese Academy of Sciences Beijing 100190China

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST, also called the Guo Shou Jing Telescope) is a special reflecting Schmidt telescope. LAMOST’s special design allows both a large aperture (effective aperture of 3.6 m–4.9 m) and a wide field of view (FOV) (5°). It has an innovative active reflecting Schmidt configuration which continuously changes the mirror’s surface that adjusts during the observation process and combines thin deformable mirror active optics with segmented active optics. Its primary mirror (6.67m×6.05 m) and active Schmidt mirror (5.74m×4.40 m) are both segmented, and composed of 37 and 24 hexagonal sub-mirrors respectively. By using a parallel controllable fiber positioning technique, the focal surface of 1.75 m in diameter can accommodate 4000 optical fibers. Also, LAMOST has 16 spectrographs with 32 CCD cameras. LAMOST will be the telescope with the highest rate of spectral acquisition. As a national large scientific project, the LAMOST project was formally proposed in 1996, and approved by the Chinese government in 1997. The construction started in 2001, was completed in 2008 and passed the official acceptance in June 2009. The LAMOST pilot survey was started in October 2011 and the spectroscopic survey will launch in September 2012. Up to now, LAMOST has released more than 480 000 spectra of objects. LAMOST will make an important contribution to the study of the large-scale structure of the Universe, structure and evolution of the Galaxy, and cross-identification of multiwaveband properties in celestial objects.

关键词： techniques: wide field telescope - active optics - multi fiber - spectroscopy survey - data reduction

基于个体化机器学习的原发性免疫性血小板减少症危重出血预测模型:一项全国前瞻性队列研究

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Science Bulletin 2023年第18期68卷 2106-2114,M0004页

作者： zhuo-Yu An Ye-Jun Wu Yu Hou Heng Mei Wei-Xia Nong Wen-Qian Li Hu Zhou Ru Feng Jian-Ping Shen Jun Peng Hai Zhou Yi liu Yong-Ping Song Lin-hua yang Mei-Yun Fang Jian-Yong Li Yun-Feng Cheng Peng liu ya-Jing Xu Zhao wang Yi Luo zhen Cai Hui liu Jing-Wen wang Juan Li Xi Zhang Zi-Min Sun xiao-Yu zhu Xin wang Rong Fu liang huang Shao-Yuan wang Tong-hua yang Li-Ping Su liang-ming Ma Xie-Qun Chen Dai-Hong liu Hong-Xia yao Jia Feng Hong-Yu Zhang ming jiang Ze-Ping Zhou Wen-Sheng wang Xu-liang Shen yangjin Baima Yue-Ying Li Qian-Fei wang Qiu-Sha huang Hai-Xia Fu xiao-Lu zhu Yun He Qian jiang Hao jiang Jin Lu Xiang-Yu Zhao Ying-Jun Chang Tao Wu yao-zhu Pan Lin Qiu Da Gao A-Rong Jin Wei Li Su-Jun Gao Lei Zhang ming Hou xiao-Jun huang xiao-Hui Zhang on behalf of the National Cooperative ITP Working Group Peking University People’s Hospital Peking University Institute of HematologyBeijing 100044China Collaborative Innovation Center of Hematology Peking UniversityBeijing 100044China Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation Beijing 100044China National Clinical Research Center for Hematologic Disease Beijing 100044China Department of Hematology Qilu HospitalCheeloo College of MedicineShandong UniversityJinan 250014China Institute of Hematology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074China Department of Hematology First Affiliated HospitalSchool of MedicineShihezi UniversityShihezi 832002China Department of Hematology Qinghai Provincial People’s HospitalXining 810007China Henan Cancer Hospital Affiliated Cancer Hospital of Zhengzhou UniversityHenan Institute of HematologyZhengzhou 450008China Department of Hematology Beijing HospitalBeijing 100044China Department of Hematology Zhejiang Provincial Hospital of Traditional Chinese MedicineHangzhou 310006China Department of Hematology Senior Department of Hematologythe Fifth Medical Center of PLA General HospitalBeijing 100044China Department of Hematology the Second Hospital of Shanxi Medical UniversityTaiyuan 030001China Department of Hematology Affiliated Zhongshan Hospital of Dalian UniversityDalian 116001China Department of Hematology The First Affiliated Hospital with Nanjing Medical University(Jiangsu Province Hospital)Nanjing 210029China Department of Hematology Zhongshan HospitalFudan UniversityShanghai 200032China Department of Hematology Xiangya HospitalCentral South UniversityChangsha 410008China Department of Hematology Beijing Friendship HospitalCapital Medical UniversityBeijing 100044China Institute of Hematology the First Affiliated HospitalZhejiang UniversityHangzhou 310058China Department of Hematology Beijing Tongren HospitalBeijing 100005China Department of Hematology The First Affiliated HospitalSun Yat-sen UniversityGuang

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者... 详细信息

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者致命出血事件的预测模型。本研究首次采用国际血栓与止血学会新提出的ITP致命出血标准,利用大样本数据开发了首个基于机器学习的在线应用,用于预测ITP患者的致命出血.研究中,我们使用中国各地大型多中心数据进行开发,并对全国39家医疗中心进行为期一年的外部测试,得到了较好的训练、验证和测试数据集预测能力该基于新算法的便捷网络工具能够快速识别ITP患者的出血风险,辅助临床决策,有望未来降低不良事件的发生。

关键词： Critical bleeding Severe bleeding Immune thrombocytopenia Machine learning Prediction model

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

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大陈洋产卵场保护区综合健康状况评价

海洋与湖沼 2023年第1期54卷 303-311页

作者：刘明智蒋日进杨凡印瑞朱帅麟张洪亮李振华张亚洲王忠明李鹏飞浙江海洋大学海洋与渔业研究所浙江舟山316021 浙江省海洋水产研究所浙江舟山316021 农业部重点渔场渔业资源科学观测实验站浙江舟山316021 浙江省海洋渔业资源可持续利用技术研究重点实验室浙江舟山316021

产卵场保护区建立是养护渔业资源和渔业可持续发展的重要方式,为验证大陈洋产卵场保护区建立的效果,以大陈洋产卵场保护区为研究区域,基于层次分析法(analytic hierarchy process),以2018年春(4月)、秋(11月)两季渔业资源和环境调查数... 详细信息

产卵场保护区建立是养护渔业资源和渔业可持续发展的重要方式,为验证大陈洋产卵场保护区建立的效果,以大陈洋产卵场保护区为研究区域,基于层次分析法(analytic hierarchy process),以2018年春(4月)、秋(11月)两季渔业资源和环境调查数据为依据,从产卵场保护区的环境和生态(一级指标)角度考虑,建立以污染物、水质、群落结构、资源密度等7个二级指标和26个三级指标的评价体系,通过综合健康评价指数(comprehensive health indicator,I_(c,h)),表征大陈洋产卵场保护区健康状况,并利用2021年春(4月)、秋(11月)两季渔业资源调查数据与保护区建立初期渔业资源情况进行对比。结果显示:2018年大陈洋产卵场保护区春季和秋季I_(c,h)分别为0.514和0.511,均处于亚健康状态。虽然保护区内环境状况优良,但保护区内生物多样性低,资源密度和资源补充群体数量不足,这表明大陈洋产卵场保护区渔业资源情况不容乐观。经过一段时间的恢复,保护区内渔业资源情况略有所好转,说明保护区的设立有一定的效果。综合健康评价体系在一定程度上客观地反映了大陈洋产卵场保护区健康状况,研究结果可为保护区建立效果评价提供基础数据,也对大陈洋地区的渔业可持续发展具有重要意义。

关键词：产卵场保护区健康状况评价过度捕捞渔业资源