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Disease spectrum analysis of hospitalized children in China: A study of 18 tertiary children's hospitals

Pediatric Investigation 2019年第3期3卷 159-164页

作者： Guoshuang Feng Yueping Zeng Jian Tian Xinyu Wang Jun Tai Fei Song Xin Zhang Xin Xu Jun Chen Tieliu Shi Xin Ni Big Data and engineering Research center Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina beijing Advanced Innovation center for Big Data-Based Precision Medicine Beihang University&Capital Medical UniversityBeijingChina Medical Record Management Office Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina Hospital Administration Office Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina department of Otolaryngology Head and Surgery Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina department of Scientific Research Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina Information center Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina The center for Bioinformatics and Computational Biology and the Institute of Biomedical SciencesSchool of Life SciencesEastChina Normal UniversityShanghaiChina

Importance: Morbidity and mortality of children are important indicators of the performance of the public health system in any country. In China, the children's disease spectrum has gradually changed in recent years. However, the gender- and age-specific disease spectrum for hospitalized children under 15 years old is still unclear. Objective: To explore the gender- and age-based distribution of diseases in hospitalized children under 15 years in China. Methods: Medical records home page data for 2.16 to 2.18 were collected from 18 tertiary children's hospitals in China. The gender- and age-specific disease spectrum was analyzed, using the tenth revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). Results: The most common diseases were those of the respiratory system (2..7% of all 2.32.42.hospitalized children). The top three diseases for boys were diseases of the respiratory system (2..6%), diseases of the digestive system (11.4%) and certain conditions originating in the perinatal period (8.6%). The top three diseases for girls were diseases of the respiratory system (2..9%), certain conditions originating in the perinatal period (10.1%), and factors influencing health status and contact with health services (9.4%).The most common diseases for children under 1 year old were certain conditions originating in the perinatal period (38.1%). For all other age groups, the most common conditions were respiratory diseases (33.8% for those aged 1–3 years, 2..2. for those aged 4–6 years, and 12.2. for those aged 7–14 years). Interpretation: This study analyzed the medical records home pages of 18 children's hospitals to provide the first overview of the disease spectrum and its gender- and age-specific distribution among children in China.

关键词： Disease spectrum Hospitalized children China

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Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2.2. edition)

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Chinese Medical Journal 2021年第11期134卷 1261-1263页

作者： Yuan Gao Yun Lu Shuai Li Yong Dai Bo Feng Fang-Hai Han Jia-Gang Han Jing-Jing He Xin-Xiang Li Guo-Le Lin Qian Liu Gui-Ying Wang Quan Wang Zhen-Ning Wang Zheng Wang Ai-Wen Wu Bin Wu Ying-Chi Yang Hong-Wei Yao Wei Zhang Jian-Ping Zhou Ai-Min Hao Zhong-Tao Zhang Colorectal Surgery Group of the Surgery Branch in the Chinese Medical Association Beihang university State Key Laboratory of Virtual Reality Technology and Systems department of General Surgery The Affiliated Hospital of Qingdao UniversityQingdaoShandong 266555China Beihang university State Key Laboratory of Virtual Reality Technology and Systems Beijing 100191China department of General Surgery Qilu Hospital of Shandong UniversityJinanShandong 250012China department of General Surgery Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Shanghai Minimally Invasive Surgery center Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China department of Gastrointestinal Surgery Sun Yat-sen UniversityGuangzhouGuangdong 510120China department of General Surgery Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100020China Institute of International Law Chinese Academy of Social SciencesBeijing 100732China department of Colorectal Surgery Fudan University Shanghai Cancer CenterShanghai 201321China department of Oncology Shanghai Medical CollegeFudan UniversityShanghai 201321China department of General Surgery Peking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijing 100730China National Cancer center/National Clinical Research center for Cancer/Cancer Hospital Chinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100021China Third Hospital of Hebei Medical university ShijiazhuangHebei 050051China department of Colon and Rectum Surgery The First Hospital of Jilin UniversityChangchunJilin 130021China department of Surgical Oncology and General Surgery Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyangLiaoning 110001China department of Gastrointestinal Surgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei 430022China department of Unit III&Ostomy Service Key laboratory of Carcinogenesis and Translational Research(Ministry of Education)Gastrointest

Development and Application of Artificial Intelligence Recognition Systems in Rectal Cancer Staging Whether for surgical treatment or for neoadjuvant chemoradiotherapy,imaging evaluation has become an important basis to perform the treatment plans.[1]The reading of imaging results requires a large number of experienced radiologists to complete,but shortages and uneven distributions of personnel cause delays and biases in imaging ***,independent research and development of automatic recognition systems of rectal cancer staging based on artificial intelligence(AI)platforms aim to partially replace practitioners’work and achieve rapid and accurate identification of rectal cancer staging.

关键词： staging artificial replace

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扶贫攻坚V4.0版:贵州省台江县脱贫致富的智力“流”模式

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贵州师范大学学报（自然科学版） 2018年第4期36卷 7-12页

作者：杨胜天宋叙言徐明峰叶乐安高升李启正北京师范大学水科学研究院北京100875 天津大学法学院天津300072 中华全国供销合作总社国际合作部北京100028 浙江省旅游发展研究中心浙江杭州311231 北京邮电大学信息与通讯工程学院北京100876 浙江理工大学杂志社浙江杭州310018

贫困是困扰人类社会发展的最大难题,减贫是一项全球性命题。贫困的本质是贫困地区人与自然互馈关系的恶化,发展中国家的减贫工作主要就是围绕如何改善贫困人口生存环境,以及如何提高贫困人口生产能力而展开。以贵州省典型贫困地区台江... 详细信息

贫困是困扰人类社会发展的最大难题,减贫是一项全球性命题。贫困的本质是贫困地区人与自然互馈关系的恶化,发展中国家的减贫工作主要就是围绕如何改善贫困人口生存环境,以及如何提高贫困人口生产能力而展开。以贵州省典型贫困地区台江县的发展为例,从物质"流"、资金"流"和信息"流",将我国不同历史阶段扶贫工作划分为扶贫攻坚1.0版、2.0版3.0版,在此基础上探索信息技术条件下的扶贫工作组织方式,提出扶贫攻坚V4.0版智力"流"模式。智力"流"模式不同于智力扶贫,它是通过智力汇集,形成智力能力,不再是单方面地改善生存环境或提高人口素质,而是改善贫困地区恶化的人与自然互馈关系,其扶贫成效更加显著。

关键词：人与自然关系扶贫攻坚信息网络智力扶贫

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表面增强拉曼光谱在肿瘤实验室诊断中的应用

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国际检验医学杂志 2019年第12期40卷 1502-1505,1525页

作者：张晨曦孙波刘佳佳刘书筠张文丽高明王亚东高阳吕虹张国军樊瑜波(综述) 康熙雄(审校) 首都医科大学附属北京天坛医院检验科北京100071 北京市免疫试剂临床工程技术研究中心北京100050 北京航空航天大学生物与医学工程学院北京100191

拉曼光谱技术是一种通过光与物质的相互作用产生的非弹性散射光来进行检测的光学技术,可以提供细胞、组织或生物流体的化学指纹信息;表面增强拉曼光谱(SERS)技术是在拉曼光谱技术基础上发展起来的具有更高灵敏度、高分析效率的新技术,... 详细信息

拉曼光谱技术是一种通过光与物质的相互作用产生的非弹性散射光来进行检测的光学技术,可以提供细胞、组织或生物流体的化学指纹信息;表面增强拉曼光谱(SERS)技术是在拉曼光谱技术基础上发展起来的具有更高灵敏度、高分析效率的新技术,其基本原理是探寻与疾病相关的SERS特征谱线,从分子水平研究新陈代谢的小分子含量及种类的变化。本文简述SERS在肿瘤实验室诊断中的应用。

关键词：表面增强拉曼光谱肿瘤实验室诊断

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Chinese guidelines for the application of colon cancer staging recognition systems based on artificial intelligence platforms (2.2.)

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Intelligent Medicine 2021年第1期1卷 37-42页

作者： Yun Lu Shuai Li Yuan Gao Yong Dai Bo Feng Fanghai Han Jiagang Han Jingjing He Xinxiang Li Guole Lin Qian Liu Guiying Wang Quan Wang Zhenning Wang Zheng Wang Aiwen Wu Bin Wu Yingchi Yang Hongwei Yao Wei Zhang Jianping Zhou Aimin Hao Zhongtao Zhang 无 department of General Surgery The Affiliated Hospital of Qingdao UniversityQingdaoShandong 266003China Beihang university State Key Laboratory of Virtual Reality Technology and Systems Beijing 100191China department of General Surgery Qilu Hospital of Shandong UniversityJinanShandong 250012China department of General Surgery Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200020China Shanghai Minimally Invasive Surgery center Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200020China department of Gastrointestinal Surgery Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdong 510120China department of General Surgery Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100027China Institute of International Law Chinese Academy of Social SciencesBeijing 102442China department of Colorectal Surgery Fudan University Shanghai Cancer CenterShanghai 200032China department of Oncology Shanghai Medical CollegeFudan UniversityShanghai 200032China department of General Surgery Peking Union Medical College HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100730China National Cancer center/National Clinical Research center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100730China Third Hospital of Hebei Medical university ShijiazhuangHebei 50051China department of Colon and Rectum Surgery The First Hospital of Jilin UniversityChangchunJilin 130031China department of Surgical Oncology and General Surgery Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyangLiaoning 110001China department of Gastrointestinal Surgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei 430030China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education) Department of Unit II

The incidence and mortality of colon cancer in China are increasing each *** present,treatment selection for colon cancer patients mainly depends on imaging results,which require a large number of radiologists to *** China,there is a shortage and uneven distribution of experienced radiologists,which leads to delays and bias in the evaluation of imaging *** on these considerations,the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association in collaboration with experts at Beihang university has independently developed an artificial intelligence(AI)-based recognition system for the preoperative determination of colon cancer stage to partially replace the work of and relieve the pressure on *** guidelines aim to standardize the use of AI-based recognition systems in the preoperative staging of colon cancer and guide their clinical application.

关键词： Artificial intelligence Colon cancer Deep learning Preoperative staging

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天琴计划简介

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中山大学学报（自然科学版） 2021年第1期60卷 1-19页

作者：罗俊艾凌皓艾艳丽安子聪白伟钢白彦峥包佳慧曹斌常文博陈琛陈厚源崔凯单莹丁延卫段会宗范会敏范磊范纹彤范霄冯文凡付新菊付瑜亮高晨光郜青高添泉高鑫高永新龚云贵谷德峰辜凌云郭兴韩西达何芸胡一鸣胡越新胡展黄顺佳黄祥青黄潇博纪沐婕蒋贇焦磊靳鸿鸣康小明匡双阳雷卫华李程远李洪银李珏李康康李萌李明黎明李涛李霄栋李语强李祝李竹溪黎樽彪练军想梁正程林伟凌晨刘辉刘佳恒刘建平刘力刘祺刘尚飞刘胜前刘帅刘旭辉刘雁冲刘源龙江龙军陆璐罗成健骆颖欣马波梅健伟孟云鹤明珉牛翔潘加键庞爱平彭慧生屈少波区子维任亮亮申荣锋沈岩石常富宋佳凝宋培义索晓晨谭柏轩谭定银檀庄斌涂良成王成王铖锐王凤彬王海天王继河王凌风王尚胜王泰卜汪旭东王炎汪洋汪一萍王智钊魏东东文明轩吴庆文吴勤勤吴书朝吴先霖夏冰夏旭肖青肖小圆谢宁徐家豪颜浩闫勇杨铖杨诚鋆杨涓杨列杨山清叶伯兵叶贤基叶小容尹航于达仁袁慧敏曾明张才士张德轩张建东张静怡张锦绣张居正张开张蜡宝张立华张涛张鑫张鑫2.张雪峰赵宏超赵玥赵泽伟周鸿博周金灵周立祥周泽兵朱凡朱炬波訾铁光邹远川 “天琴计划”教育部重点实验室中山大学天琴中心天琴前沿科学中心国家航天局引力波研究中心广东珠海519082 中山大学物理与天文学院广东珠海519082 华中科技大学物理学院湖北武汉430074 航天东方红卫星有限公司北京100094 中国科学院云南天文台云南昆明650011 哈尔滨工业大学能源科学与工程学院黑龙江哈尔滨150001 北京控制工程研究所北京100094 东北大学理学院辽宁沈阳110004 贵州大学电气工程学院贵州贵阳550025 南京大学电子科学与工程学院江苏南京210093 上海交通大学机械与动力工程学院上海200240 深圳技术大学工程物理学院广东深圳518118 武汉大学电子信息学院湖北武汉430072 西北工业大学航空航天学院陕西西安710072 西南大学物理科学与技术学院重庆400715 中国科学院紫金山天文台江苏南京210023 中山大学航空航天学院广东广州510006 冲绳科学技术大学院大学日本冲绳951-8073

天琴计划预期于2.35年左右发射并部署边长约17万公里的等边三角形卫星星座,构成一个引力波天文台—天琴。天琴将对10^(-4)~1 Hz频段的引力波进行探测,为人类描绘一幅更全面的宇宙图景。在本文中,我们对天琴计划的背景和提出过程、天琴... 详细信息

天琴计划预期于2.35年左右发射并部署边长约17万公里的等边三角形卫星星座,构成一个引力波天文台—天琴。天琴将对10^(-4)~1 Hz频段的引力波进行探测,为人类描绘一幅更全面的宇宙图景。在本文中,我们对天琴计划的背景和提出过程、天琴的主要探测对象和主要科学目标、天琴需要攻克的核心关键技术问题、天琴计划技术路线图及进展等进行介绍,以方便更多人加入这一项富有挑战而又激动人心的工作。

关键词：天琴计划空间引力波探测引力波

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Search for the weak decayψ(3686)→■+c.c.

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Chinese physics C 2023年第1期47卷 19-27页

作者：麦迪娜 M.N.Achasov P.Adlarson M.Albrecht R.Aliberti A.Amoroso 安美儒安琪白旭红白羽 O.Bakina R.Baldini Ferroli I.Balossino 班勇 V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann 蔡浩蔡啸 A.Calcaterra 曹国富曹宁 S.A.Cetin 常劲帆常万玲 G.Chelkov 陈琛陈超陈刚陈和生陈玛丽陈申见陈少敏 T.Chen 陈旭荣 X.T.Chen 陈元柏陈卓俊成伟帅初晓 G.Cibinetto F.Cossio 崔佳佳代洪亮代建平 A.Dbeyssi R.E.de Boer D.Dedovich 邓子艳 A.Denig I.Denysenko M.Destefanis F.De Mori 丁勇董静董燎原董明义董翔杜书先 P.Egorov 范玉兰方建房双世方文兴方易 R.Farinelli L.Fava F.Feldbauer G.Felici 封常青冯俊华 K Fischer M.Fritsch C.Fritzsch 傅成栋高涵高原宁高扬 S.Garbolino I.Garzia 葛潘婷葛振武耿聪 E.M.Gersabeck A Gilman K.Goetzen 龚丽龚文煊 W.Gradl M.Greco 谷立民顾旻皓顾运厅关春懿郭爱强郭立波郭如盼郭玉萍 A.Guskov 韩婷婷韩文颖郝喜庆 F.A.Harris 何凯凯何康林 F.H.Heinsius C.H.Heinz 衡月昆 C.Herold M.Himmelreich 侯国一侯颖锐侯治龙胡海明 J.F.Hu 胡涛胡誉黄光顺黄凯旋黄麟钦黄麟钦黄性涛黄燕萍黄震 T.Hussain N Hüsken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv 纪全姬清平季晓斌季筱璐吉钰瑶贾泽坤姜侯兵姜赛赛江晓山 Y.Jiang 焦健斌焦铮金山金毅荆茂强 T.Johansson N.Kalantar-Nayestanaki 康晓珅 R.Kappert 柯百谦 I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi 雷祚弘 H.Leithoff M.Lellmann T.Lenz 李翠李聪李春花李澄李德民李飞李刚李慧李贺李海波李惠静 H.N.Li J.Q.Li 李静舒李井文李科 L.J.Li 李龙科李蕾李明浩李培荣李素娴栗帅迎李腾李卫东李卫国李旭红李晓玲李晓宇梁昊梁浩梁浩梁勇飞梁羽铁廖广睿廖龙洲 J.Libby A.Limphirat 林创新林德旭 T.Lin 刘北江刘春秀 D.Liu 刘福虎刘芳刘峰 G.M.Liu H.Liu 刘宏邦刘怀民刘欢欢刘汇慧刘建北刘佳俊刘晶译刘凯刘魁勇刘珂刘亮刘露刘美宏刘佩莲刘倩刘树彬刘桐刘维克刘卫民刘翔刘英刘玉斌刘振安刘智青娄辛丑卢飞翔吕海江吕军光陆小玲卢宇卢云鹏 Z.H.Lu 罗成林罗民兴罗涛罗小兰吕晓睿吕翌丰马凤才马海龙马连良马明明马秋梅马润秋马瑞廷马骁妍马尧 F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni 冒亚军毛泽普 S.Marcello 孟召霞 J.G.Messchendorp G.Mezzadri H.Miao 闵天觉 R.E.Mitchell 莫晓虎 N.Yu.Muchnoi Y.Nefedov F.Nerling I.B.Nikolaev 宁哲 S.Nisar 牛艳 S.L.Olsen 欧阳群 S.Pacetti 潘祥潘越 A.Pathak M.Pelizaeus 彭海平 K.Peters 平加伦平荣刚 S.Plura S.Pogodin V.Prasad 齐法制齐航漆红荣祁鸣齐天钰钱森钱文斌钱圳乔从丰秦佳佳秦丽清覃潇平秦小帅秦中华邱进发屈三强 K.H.Rashid C.F.Redmer 任旷洁 A.Rivetti V.Rodin M.Rolo 荣刚 Ch.Rosn Institute of High Energy physics Beijing 100049China Beihang university Beijing 100191China beijing Institute of Petrochemical Technology Beijing 102617China Bochum Ruhr-university D-44780 BochumGermany Carnegie Mellon university PittsburghPennsylvania 15213USA Central China Normal university Wuhan 430079China Central South university Changsha 410083China China center of Advanced Science and Technology Beijing 100190China COMSATS university Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan university Shanghai 200433China G.I.Budker Institute of Nuclear physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal university Guilin 541004China Guangxi university Nanning 530004China Hangzhou Normal university Hangzhou 310036China Hebei university Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal university Xinxiang 453007China Henan university of Science and Technology Luoyang 471003China Henan university of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal university Changsha 410081China Hunan university Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana university BloomingtonIndiana 47405USA AINFN Laboratori Nazionali di Frascati I-00044FrascatiItaly INFN Sezione di Perugia I-06100PerugiaItaly university of Perugia I-06100PerugiaItaly INFN Sezione di Ferrara I-44122FerraraItaly university of Ferrara I-44122FerraraItaly Institute of Modern physics Lanzhou 730000China Institute of physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Jilin university Changchun 130012China Johannes Gutenberg university of Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Joint Institute for Nuclear Research 141980 DubnaMoscow regionRussia Justus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16D-35392 GiessenGermany Lanzhou U

Using(448.1±2.9)×10^(6)ψ(3686)for the weak baryonic decayψ(3686)→Λc+∑-+c.c..The analysis procedure is optimized using a blinded *** significant signal is observed,and the upper limit on the branching fraction(B... 详细信息

关键词： weak decay upper limit BESIII detector

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