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Energy & Environmental Materials 2024年第4期7卷 5-27页

作者： Jian Tan Longli Ma Yuan Wang Pengshu Yi chuming ye Zhan Fang Zhiheng Li Mingxin ye Jianfeng Shen Institute of Special Materials and Technology Fudan UniversityShanghai 200433China Department of Materials Science Fudan UniversityShanghai 200433China Department of Chemistry Fudan UniversityShanghai 200433China

Rechargeable lithium-sulfur(Li-S)batteries,featuring high energy density,low cost,and environmental friendliness,have been dubbed as one of the most promising candidates to replace current commercial rechargeable Li-ion ***,their practical deployment has long been plagued by the infamous“shuttle effect”of soluble Li polysulfides(LiPSs)and the rampant growth of Li ***,it is important to specifically elucidate the solvation structure in the Li-S system and systematically summarize the feasibility strategies that can simultaneously suppress the shuttle effect and the growth of Li dendrites for practical *** review attempts to achieve this *** this review,we first introduce the importance of developing Li-S batteries and highlight the key ***,we revisit the working principles of Li-S batteries and underscore the fundamental understanding of ***,we summarize some representative characterization techniques and theoretical calculations applied to characterize the solvation structure of ***,we overview feasible designing strategies that can simultaneously suppress the shuttle effect of soluble LiPSs and the growth of Li ***,we conclude and propose personal insights and perspectives on the future development of Li-S *** envisage that this timely review can provide some inspiration to build better Li-S batteries for promoting practical applications.

关键词： characterization tools design strategies Li-S batteries practical applications solvation chemistry

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上海知识产权服务业发展环境研究与战略选择

科技管理研究 2011年第4期31卷 142-144,148页

作者：刘长平叶春明上海理工大学管理学院上海200093 淮阴工学院江苏淮安223001

以上海建设现代化国际大都市为目标,从服务经济已成为当今世界经济发展的主流趋势入手,从四个方面分析了上海发展知识产权服务业的环境和前景,为政府及其管理部门制定知识产权服务业的发展战略提供决策依据。

关键词：知识产权服务业环境战略选择上海

Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients:A Multi-Center Retrospective Study in China

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Engineering 2022年第1期8卷 116-121页

作者： ye Yuan Chuan Sun Xiuchuan Tang Cheng Cheng Laurent Mombaerts Maolin Wang Tao Hu Chenyu Sun Yuqi Guo Xiuting Li Hui Xu Tongxin Ren Yang Xiao Yaru Xiao Hongling Zhu Honghan Wu Kezhi Li chuming Chen Yingxia Liu Zhichao Liang Zhiguo Cao Hai-Tao Zhang Ioannis Ch.Paschaldis Quanying Liu Jorge Goncalves Qiang Zhong Li Yan School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Luxembourg Centre for Systems Biomedicine University of LuxembourgBelval L-4367Luxembourg Department of Plant Sciences University of CambridgeCambridge CB21TNUK Department of Emergency Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China AMITA Health Saint Joseph Hospital Chicago ChicagoIL 60657USA Department of Anesthesiology Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Huazhong University of Science and Technology-Wuxi Research Institute Wuxi 214174China Division of Cardiology Department of Internal MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Institute of Health Informatics University College LondonLondon NW12DAUK Department of Biomedical Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Infectious Diseases Shenzhen Key Laboratory of Pathogenic Microbiology and ImmunologyNational Clinical Research Center for Infectious DiseaseThe Third People’s Hospital of Shenzhen(Second Hospital Affiliated with the Southern University of Science and Technology)Shenzhen 518055China Department of Electrical and Computer Engineering&Division of Systems Engineering&Department of Biomedical Engineering Boston UniversityBostonMA 02215USA

Coronavirus disease 2019(COVID-19)has become a worldwide *** patients of COVID-19 suffer from a high mortality rate,motivating the development of convenient and practical methods that allow clinicians to promptly identify high-risk ***,we have developed a risk score using clinical data from 1479 inpatients admitted to Tongji Hospital,Wuhan,China(development cohort)and externally validated with data from two other centers:141 inpatients from Jinyintan Hospital,Wuhan,China(validation cohort 1)and 432 inpatients from The Third People’s Hospital of Shenzhen,Shenzhen,China(validation cohort 2).The risk score is based on three biomarkers that are readily available in routine blood samples and can easily be translated into a probability of *** risk score can predict the mortality of individual patients more than 12 d in advance with more than 90%accuracy across all ***,the Kaplan-Meier score shows that patients can be clearly differentiated upon admission as low,intermediate,or high risk,with an area under the curve(AUC)score of *** summary,a simple risk score has been validated to predict death in patients infected with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2);it has also been validated in independent cohorts.

关键词： COVID-19 Risk score Mortality risk prediction

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微课在心血管科临床护理教学中的应用

现代医院 2023年第4期23卷 641-644页

作者：曾楚明赖杏范婷林叶汤冰盈高州市人民医院广东高州525200

目的探究微课在临床护理教学中的应用。方法将我科2021年3月—2022年9月经过随机抽样筛选的实习护生64例作为研究对象,采用随机数字表法将其分为2组,各32名,比较观察组(微课教学法)和对照组(常规教学法)的教学效果。结果干预后,观察组... 详细信息

目的探究微课在临床护理教学中的应用。方法将我科2021年3月—2022年9月经过随机抽样筛选的实习护生64例作为研究对象,采用随机数字表法将其分为2组,各32名,比较观察组(微课教学法)和对照组(常规教学法)的教学效果。结果干预后,观察组实习护生的考核成绩、专业技能、专业素养、三方面评价以及带教满意度显著高于对照组,P<0.05。结论在临床护理教学中运用微课教学法,可有效提高实习护生各项考核成绩,提升专业技能水平和专业素养,提高带教满意度和相关评价,科学可行。

关键词：微课教学法临床护理心血管科实习教学

Multiomics and blood-based biomarkers of moyamoya disease: protocol of Moyamoya Omics Atlas (MOYAOMICS)

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中华神经外科杂志(英文) 2024年第3期10卷 1-9页

作者： Ge Peicong Yin Zihan Tao chuming Zeng Chaofan Yu Xiaofan Lei Shixiong Li Junsheng Zhai Yuanren Ma Long He Qiheng Liu Chenglong Liu Wei Zhang Bojian Zheng Zhiyao Mou Siqi Zhao Zhikang Wang Shuang Sun Wei Guo Min Zheng Shuai Zhang Jia Deng Xiaofeng Liu Xingju ye Xun Zhang Qian Wang Rong Zhang Yan Zhang Shaosen Wang Chengjun Yang Ziwen Zhang Nijia Wu Mingxing Sun Jian Zhou Yujia Shi Zhiyong Ma Yonggang Zhou Jianpo Yu Shaochen Li Jiaxi Lu Junli Gao Faliang Wang Wenjing Chen Yanming Zhu Xingen Zhang Dong Zhao Jizong Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China China National Clinical Research Center for Neurological Diseases Beijing China Department of Neurosurgery Beijing Hospital National Center of Gerontology Beijing China Department of Radiology Beijing Tiantan Hospital Beijing China Department of Ultrasound Beijing Tiantan Hospital Capital Medical University Beijing China Department of Neurology Beijing Tiantan Hospital Beijing China Department of Neurosurgery Beijing Friendship Hospital Capital Medical University Beijing China Department of Neurosurgery Beijing Chaoyang Hospital Capital Medical University Beijing China Department of Neurosurgery Beijing Childrens Hospital Capital Medical University Beijing China Department of Neurosurgery The Affiliated Children’s Hospital Capital Institute of Pediatrics Beijing China Department of Neurosurgery Beijing Changping District Hospital Beijing China Department of Neurosurgery Dongfang Hospital Beijing University of Chinese Medicine Beijing China Department of Neurosurgery Nanjing Drum Tower Hospital The Affiliated Hospital of Nanjing University Medical School Nanjing China Department of NeuroInterventional Surgery Binzhou Medical University Hospital Binzhou Shandong China Department of Neurosurgery Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China Department of Neurosurgery The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou China Department of Neurosurgery The First Affiliated Hospital of Xi’an Jiaotong University Shaanxi Xi’an China Department of Neurosurgery West China Hospital Sichuan University Chengdu China Department of Neurosurgery Center for Rehabilitation Medicine Zhejiang Provincial Peoples Hospital Affiliated Peoples Hospital Hangzhou Medical College Hangzhou Zhejiang China Beijing Institute of Hepatology Beijing YouAn Hospital Capital Medical University Beijing China Department of Neu

Background Moyamoya disease (MMD) is a rare and complex cerebrovascular disorder characterized by the progressive narrowing of the internal carotid arteries and the formation of compensatory collateral vessels. The etiology of MMD remains enigmatic, making diagnosis and management challenging. The MOYAOMICS project was initiated to investigate the molecular underpinnings of MMD and explore potential diagnostic and therapeutic *** The MOYAOMICS project employs a multidisciplinary approach, integrating various omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, to comprehensively examine the molecular signatures associated with MMD pathogenesis. Additionally, we will investigate the potential influence of gut microbiota and brain-gut peptides on MMD development, assessing their suitability as targets for therapeutic strategies and dietary interventions. Radiomics, a specialized field in medical imaging, is utilized to analyze neuroimaging data for early detection and characterization of MMD-related brain changes. Deep learning algorithms are employed to differentiate MMD from other conditions, automating the diagnostic process. We also employ single-cellomics and mass cytometry to precisely study cellular heterogeneity in peripheral blood samples from MMD *** The MOYAOMICS project represents a significant step toward comprehending MMD’s molecular underpinnings. This multidisciplinary approach has the potential to revolutionize early diagnosis, patient stratification, and the development of targeted therapies for MMD. The identification of blood-based biomarkers and the integration of multiple omics data are critical for improving the clinical management of MMD and enhancing patient outcomes for this complex disease.

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