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Erratum to:Forecasts on CMB lensing observations with AliCPT-1

中国科学:物理学、力学、天文学英文版 2023年第9期66卷 200-200页

作者： Jinyi Liu Zeyang Sun Jiakang Han Julien Carron Jacques Delabrouille Siyu Li Yang Liu Jing Jin Shamik Ghosh bin Yue Pengjie zhang Chang Feng Zhi-Qi Huang Hao Liu Yi-Wen Wu Le zhang Zi-Rui zhang Wen Zhao bin Hu Hong Li Xinmin zhang Department of Astronomy Beijing Normal UniversityBeijing 100875China Department of Astronomy School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai200240China Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240China Division of Astronomy and Astrophysics Tsung-Dao Lee InstituteShanghai Jiao Tong UniversityShanghai200240China D´epartement de Physique Th´eorique et CAP Universit´e de Gen`eveGen`eve CH-1211Switzerland CNRS-UCB International Research Laboratory Centre Pierre Bin´etruyCPB-IN2P3Berkeley IRL2007USA Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China CAS Key Laboratory for Researches in Galaxies and Cosmology Department of AstronomyUniversity of Science and Technology of ChinaChinese Academy of SciencesHefei 230026China School of Astronomy and Space Science University of Science and Technology of ChinaHefei 230026China National Astronomical Observatories Chinese Academy of SciencesBeijing100101China School of Physics and optoelectronics engineering Anhui UniversityHefei 230039China School of Physics and Astronomy Sun Yat-sen UniversityZhuhai519082China CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay Area Zhuhai 519082China Peng Cheng Laboratory Shenzhen 518000China Theoretical devision Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China

One of the authors regrets that there was an omission of affiliation in this published article[1].The affiliation information of author Yi-WenWu only included the institution name for the author,and it is advised to a... 详细信息

关键词： observations CPT CMB

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Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists

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Intelligent Medicine 2022年第4期2卷 221-229页

作者： Longjiang zhang Zhao Shi Min Chen Yingmin Chen Jingliang Cheng Li Fan Nan Hong Wenxiao Jia Guihua Jiang Shenghong Ju Xiaogang Li Xiuli Li Changhong Liang Weihua Liao Shiyuan Liu Zaiming Lu Lin Ma Ke Ren Pengfei Rong bin Song Gang Sun Rongpin Wang Zhibo Wen Haibo Xu Kai Xu Fuhua Yan Yizhou Yu Yunfei Zha Fandong zhang Minwen Zheng Zhen Zhou Wenzhen Zhu Guangming Lu Zhengyu Jin on behalf of Chinese Association of Radiologists Department of Radiology Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingJiangsu 210002China Department of Radiology Beijing HospitalNational Center of GerontologyBeijing 100005China Department of Radiology Hebei General HospitalShijiazhuangHebei 050199China Department of Magnetic Resonance Imaging The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Department of Medical Imaging and Nuclear Medicine Changzheng Hospital of Naval Medical UniversityShanghai 200072China Department of Radiology Peking University People’s HospitalBeijing 100044China Imaging Center First AffiliatedHospital of Xinjiang Medical UniversityUrumqiXinjiang Uygur Autonomous Region 830054China Department of Medical Imaging Guangdong Second Provincial General HospitalGuangzhouGuangdong 510050China Department of Radiology Zhongda HospitalSchool of MedicineSoutheast UniversityNanjingJiangsu 211189China Department of Radiology General Hospital of Northern Theater CommandShenyangLiaoning 110011China DeepWise ai lab.Beijing 100089 China Department of Radiology Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhouGuangdong 519041China Department of Radiology Xiangya HospitalCentral South UniversityChangshaHunan 410008China Department of Radiology Shengjing Hospital of China Medical UniversityShenyangLiaoning 110001China Department of Radiology Chinese PLA(People’s Liberation Army)General HospitalBeijing 100853China Department of Radiology Xiang’an Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenFujian 361005China Department of Radiology Third Xiangya HospitalCentral South UniversityChangshaHunan 410013China Department of Radiology Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China HospitalSichuan UniversityChengduSichuan 610044China Department of Nuclear Medicine 960 Hospital of PLAJi’nanShandong 250012China Department of Radiology Guizhou Provincial People’s Hosp

In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical ***,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results *** lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection *** reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular *** further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools.

关键词： Cerebrovascular diseases Deep learning Study design Medical imaging

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Mapping essential urban land use categories in China(EULUC-China):preliminary results for 2018

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Science Bulletin 2020年第3期65卷 182-187页

作者： Peng Gong bin Chen Xuecao Li Han Liu Jie Wang Yuqi Bai Jingming Chen Xi Chen Lei Fang Shuailong Feng Yongjiu Feng Yali Gong Hao Gu Huabing Huang Xiaochun Huang Hongzan Jiao Yingdong Kang Guangbin Lei ainong Li Xiaoting Li Xun Li Yuechen Li Zhilin Li Zhongde Li Chong Liu Chunxia Liu Maochou Liu Shuguang Liu Wanliu Mao Changhong Miao Hao Ni Qisheng Pan Shuhua Qi Zhehao Ren Zhuoran Shan Shaoqing Shen Minjun Shi Yimeng Song Mo Su Hoi Ping Suen Bo Sun Fangdi Sun Jian Sun Lin Sun Wenyao Sun Tian Tian Xiaohua Tong Yihsing Tseng Ying Tu Hong Wang Lan Wang Xi Wan Zongming Wang Tinghai Wu Yaowen Xie Jian Yang Jun Yang Man Yuan Wenze Yue Hongda Zeng Kuo zhang Neng zhang Tao zhang Yu zhang Feng Zhao Yichen Zheng Qiming Zhou Nicholas Clinton Zhiliang Zhu bing Xu Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Tsinghua Urban Institute Tsinghua UniversityBeijing 100084China Center for Healthy Cities Institute for China Sustainable UrbanizationTsinghua UniversityBeijing 100084China Department of Land Air and Water ResourcesUniversity of CaliforniaDavisCA 95616-8627USA Department of Geological and Atmospheric Sciences Iowa State UniversityAmesIA 50011USA State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101China ai for Earth Laboratory Cross-Strait InstituteTsinghua UniversityBeijing 100084China International Institute for Earth System Sciences Nanjing UniversityNanjing 210093China Research Center for Ecology and Environment of Central Asia Chinese Academy of SciencesUrumchi 830011China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China National Engineering Laboratory for Applied Technology in Forestry&Ecology in South China College of Life Science and TechnologyCentral South University of Forestry and TechnologyChangsha 410004China College of Surveying&Geo-Informatics Tongji UniversityShanghai 200092China Department of Urban Planning College of Architecture and Urban PlanningTongji UniversityShanghai 200092China Beijing Institute of Urban Planning Beijing 100045China Department of Urban Planning School of Urban DesignWuhan UniversityWuhan 430072China College of Earth Sciences Jilin UniversityChangchun 130061China Research Center for Digital Mountain and Remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China Institute of Remote Sensing and Geographic Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Department of Urban and Regional Planning School of Geography and PlanningSun Yat-sen Univ

Land use reflects human activities on *** land use is the highest level human alteration on Earth,and it is rapidly changing due to population increase and *** areas have widespread effects on local hydrology,climate,biodiversity,and food production[1,2].However,maps,that contain knowledge on the distribution,pattern and composition of various land use types in urban areas,are limited to city *** mapping standard on data sources,methods,land use classification schemes varies from city to city,due to differences in financial input and skills of mapping *** address various national and global environmental challenges caused by urbanization,it is important to have urban land uses at the national and global scales that are derived from the same or consistent data sources with the same or compatible classification systems and mapping *** is because,only with urban land use maps produced with similar criteria,consistent environmental policies can be made,and action efforts can be compared and assessed for large scale environmental ***,despite of the fact that a number of urban-extent maps exist at global scales[3,4],more detailed urban land use maps do not exist at the same *** at big country or regional levels such as for the United States,China and European Union,consistent land use mapping efforts are rare[5,6](e.g.,https://***/open_land_use/).

关键词： EULUC-China 土地利用类型

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Decline in subarachnoid haemorrhage volumes associated with the first wave of the COVID- 19 pandemic

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Stroke & Vascular Neurology 2021年第4期6卷 542-552,I0026-I0032页

作者： Thanh N Nguyen Diogo C Haussen Muhammad M Qureshi Hiroshi Yamagami Toshiyuki Fujinaka Ossama Y Mansour Mohamad Abdalkader Michael Frankel Zhongming Qiu Allan Taylor Pedro Lylyk Omer F Eker Laura Mechtouff Michel Piotin Fabricio Oliveira Lima Francisco Mont'Alverne Wazim Izzath Nobuyuki Sakai Mahmoud Mohammaden Alhamza R Al-Bayati Leonardo Renieri Salvatore Mangiafico David Ozretic Vanessa Chalumeau Saima Ahmad Umair Rashid Syed Irteza Hussain Seby John Emma Griffin John Thornton Jose Antonio Fiorot Rodrigo Rivera Nadia Hammami Anna M Cervantes-Arslanian Hormuzdiyar H Dasenbrock Huynh Le Vu Viet Quy Nguyen Steven Hetts Romain Bourcier Romain Guile Melanie Walker Malveeka Sharma Don Frei Pascal Jabbour Nabeel Herial Fawaz Al-Mufti Atilla Ozcan Ozdemir Ozlem Aykac Dheeraj Gandhi Chandril Chugh Charles Matouk Pascale Lavoie Randall Edgell Andre Beer-Furlan Michael Chen Monika Killer-Oberpfalzer Vitor Mendes Pereira Patrick Nicholson Vikram Huded Nobuyuki Ohara Daisuke Watanabe Dong Hun Shin Pedro SC Magalhaes Raghid Kikano Santiago Ortega-Gutierrez Mudassir Farooqui Amal Abou-Hamden Tatsuo Amano Ryoo Yamamoto Adrienne Weeks Elena A Cora Rotem Sivan-Hoffmann Roberto Crosa Markus Möhlenbruch Simon Nagel Hosam Al-Jehani Sunil A Sheth Victor S Lopez Rivera James E Siegler Achmad Fidaus Sani Ajit S Puri Anna Luisa Kuhn Gianmarco Bernava Paolo Machi Daniel G Abud Octavio M Pontes-Neto Ajay K Wakhloo Barbara Voetsch Eytan Raz Shadi Yaghi Brijesh P Mehta Naoto Kimura Mamoru Murakami Jin Soo Lee Ji Man Hong Robert Fahed Gregory Walker Eiji Hagashi Steve M Cordina Hong Gee Roh Ken Wong Juan F Arenillas Mario Martinez-Galdamez Jordi Blasco Alejandro Rodriguez Vasquez Luisa Fonseca M Luis Silva Teddy Y Wu Simon John Alex Brehm Marios Psychogios William J Mack Matthew Tenser Tatemi Todaka Miki Fujimura Roberta Novakovic Jun Deguchi Yuri Sugiura Hiroshi Tokimura Rakesh Khatri Michael Kelly Lissa Peeling Yuichi Murayama Hugh Stephen Winters Johnny Wong Mohamed Teleb Jeremy Payne Hiroki Fukuda Kosuke Miyake Junsuke Shimbo Yusuke Sug Neurology RadiologyBoston Medical CenterBostonMassachusettsUSA Neurology Marcus Stroke&Neuroscience CenterGrady Memorial HospitalEmory University School of MedicineAtlantaGAUSA Radiology Radiation OncologyBoston University School of MedicineBostonMassachusettsUSA Neurology National Hospital Organization Osaka National HospitalOsakaJapan Neurosurgery National Hospital Organization Osaka National HospitalOsakaJapan Neurology Alexandria UniversityAlexandriaEgypt Radiology Boston Medical CenterBostonMassachusettsUSA Department of Neurology Xinqiao HospitalChongqingChina Neurosurgery University of Cape TownRondeboschWestern CapeSouth Africa Neurosurgery Interventional NeuroradiologyClinica La Sagrada FamiliaBuenos AiresArgentina Neuroradiologie Neurologie VasculaireHospices Civils de LyonLyonAuvergne-Rhône AlpesFrance Neurologie Vasculaire Hospices Civils de LyonLyonAuvergne-Rhône AlpesFrance Interventional Neuroradiology Fondation Ophtalmologique Adolphe de RothschildParisÎle-de FranceFrance Neurology Hospital Geral de FortalezaFortalezaBrazil Interventional Neuroradiology Hospital Geral de FortalezaFortalezaBrazil Neuroradiology Nottingham University Hospitals NHS TrustNottinghamUK Department of Neurosurgery Kobe City Medical Center General HospitalKobeHyogoJapan Interventional Neurovascular Unit University Hospital CareggiFirenzeToscanaItaly Neuroradiology University Hospital Centre ZagrebZagrebCroatia Interventional Neuroradiology Hopital BicetreLe Kremlin-BicetreFrance Stroke and Interventional Neuroradiology Lahore General HospitalLahorePakistan Neurological Institute Cleveland Clinic Abu DhabiAbu DhabiUAE Department of Radiology Beaumont HospitalDublinIreland Neurology Stroke UnitHospital-Estadual CentralVitoriaBrazil Neuroradiology Instituto de Neurocirugia Dr AsengoSantiagoChile Interventional Neuroradiology Institut National de NeurologieTunisTunisia Neurology Boston Medical CenterBostonMassachusettsUSA Neurosurgery Boston Medical Center

Background During the COVID-19 pandemic,decreased volumes of stroke admissions and mechanical thrombectomy were *** study’s objective was to examine whether subarachnoid haemorrhage(SAH)hospitalisations and ruptured aneurysm coiling interventions demonstrated similar *** We conducted a cross-sectional,retrospective,observational study across 6 continents,37 countries and 140 comprehensive stroke *** with the diagnosis of SAH,aneurysmal SAH,ruptured aneurysm coiling interventions and COVID-19 were identified by prospective aneurysm databases or by International Classification of Diseases,10th Revision,*** 3-month cumulative volume,monthly volumes for SAH hospitalisations and ruptured aneurysm coiling procedures were compared for the period before(1 year and immediately before)and during the pandemic,defined as 1 March-31 May *** prior 1-year control period(1 March-31 May 2019)was obtained to account for seasonal *** There was a significant decline in SAH hospitalisations,with 2044 admissions in the 3 months immediately before and 1585 admissions during the pandemic,representing a relative decline of 22.5%(95%CI−24.3%to−20.7%,p<0.0001).Embolisation of ruptured aneurysms declined with 1170-1035 procedures,respectively,representing an 11.5%(95%CI−13.5%to−9.8%,p=0.002)relative *** analysis was noted for aneurysmal SAH hospitalisation decline from 834 to 626 hospitalisations,a 24.9%relative decline(95%CI−28.0%to−22.1%,p<0.0001).A relative increase in ruptured aneurysm coiling was noted in low coiling volume hospitals of 41.1%(95%CI 32.3%to 50.6%,p=0.008)despite a decrease in SAH admissions in this *** There was a relative decrease in the volume of SAH hospitalisations,aneurysmal SAH hospitalisations and ruptured aneurysm embolisations during the COVID-19 *** findings in SAH are consistent with a decrease in other emergencies,such as stroke and myocardial infarction.

关键词： diagnosis representing subarachnoid

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Human genetic and immunological determinants of critical COVID-19 pneumonia

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四川生理科学杂志 2021年第11期43卷 1947-1947页

作者： Qian zhang St Giles Laboratory of Human Genetics of Infectious Diseases Rockefeller Branch The Rockefeller University New York NY USA Laboratory of Human Genetics of Infectious Diseases Necker Branch INSERM U1163 Necker Hospital for Sick Children Paris France University of Paris Imagine Institute Paris France Department of Pediatrics Necker Hospital for Sick Children Paris France Howard Hughes Medical Institute Paris France Cemil Taşcıoglu City Hospital Istanbul Turkey Laboratory of Human Genetics of Infectious Diseases Necker Branch INSERM U1163 Necker Hospital for Sick Children Paris France Imagine Institute University of Paris Paris France Al Jalila Children’s Hospital Dubai United Arab Emirates San Raffaele Telethon Institute for Gene Therapy IRCCS Ospedale San Raffaele and Vita Salute San Raffaele University Milan Italy Hospices Civils de Lyon Lyon France Helix San Mateo CA USA Department of Intensive Care Medicine Critical Care Center CHU Lille Lille France Univ. Lille CNRS Inserm CHU Lille Institut Pasteur de Lille U1019-UMR9017-CIIL-Centre d’Infection et d’Immunité deLille Lille France Shupyk National Medical Academy for Postgraduate Education Kiev Ukraine Department of Medical Microbiology University Medical Center Utrecht Utrecht The Netherlands Sidra Medicine Doha Qatar Primary Immunodeficiencies Group Department of Microbiology and Parasitology School of Medicine University of Antioquia Medellín Colombia School of Microbiology University of Antioquia Medellín Colombia IIBB-CSIC IDIBAPS Barcelona Spain Department of Immunology Second Faculty of Medicine Charles University University Hospital in Motol Prague Czech Republic Department of Immunology Dmitry Rogachev National Medical Research Center of Pediatric Hematology Oncology and Immunology Moscow Russia Pulmonology Department Cliniques Universitaires Saint-Luc Brussels Belgium Institut de Recherche Expérimentale et Clinique (IREC) Université Catholique de Louvain Brussels Belgium

SARS-CoV-2 infection is benign in most individuals but,in-10%of cases,it triggers hypoxemic COVID-19 pneumonia,which becomes critical in-3%of *** ensuing risk of death(-1%)doubles every five years from childhood onward and is-1.5 times greater in men than in *** are the molecular and cellular determinants of critical COVID-19 pneumonia?Inborn errors of type I IFNs,including autosomal TLR3 and X-linked TLR7 deficiencies,are found in-1-5%of patients with critical pneumonia under 60 years old.

关键词： pneumonia critical cases

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