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Redefining pandemic preparedness:Multidisciplinary insights from the CERP modelling workshop in infectious diseases,workshop report

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Infectious Disease Modelling 2024年第2期9卷 501-518页

作者： Marta C.Nunes Edward Thommes Holger Fröhlich Antoine Flahault Julien Arino Marc Baguelin Matthew Biggerstaff Gaston Bizel-Bizellot Rebecca Borchering Giacomo Cacciapaglia Simon Cauchemez Alex Barbier-Chebbah Carsten Claussen Christine Choirat Monica Cojocaru Catherine Commaille-Chapus Chitin Hon Jude Kong nicolas Lambert Katharina B.Lauer Thorsten Lehr Cédric Mahe Vincent Marechal Adel Mebarki Seyed Moghadas Rene Niehus Lulla Opatowski Francesco Parino Gery Pruvost Andreas Schuppert Rodolphe Thiébaut Andrea thomas-Bachli Cecile Viboud Jianhong Wu Pascal Crépey Laurent Coudeville Center of Excellence in Respiratory Pathogens(CERP) Hospices Civils de Lyon(HCL)and Centre International de Recherche en Infectiologie(CIRI)Équipe SantéPubliqueÉpidémiologie etÉcologieÉvolutive des Maladies Infectieuses(PHE3ID)Inserm U1111CNRS UMR5308ENS de LyonUniversitéClaude Bernard Lyon 1LyonFrance South African Medical Research Council Vaccines&Infectious Diseases Analytics Research UnitFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa New Products and Innovation(NPI) Sanofi Vaccines(Global)TorontoOntarioCanada Department of Mathematics and Statistics University of GuelphGuelphOntarioCanada Fraunhofer Institute for Algorithms and Scientific Computing(SCAI) Department of BioinformaticsSchloss BirlinghovenSankt AugustinGermany University of Bonn Bonn-Aachen International Center for IT(b-it)BonnGermany Institute of Global Health Faculty of MedicineUniversity of GenevaGenevaSwitzerland and Swiss School of Public HealthZürichSwitzerland Department of Mathematics University of ManitobaWinnipegManitobaCanada MRC Centre for Global Infectious Disease Analysis School of Public HealthImperial College LondonLondonUK Centre for Mathematical Modelling of Infectious Diseases Department of Infectious Disease EpidemiologyLondon School of Hygiene&Tropical MedicineLondonUK National Center for Immunization and Respiratory Diseases(NCIRD) US Centers for Disease Control and Prevention(CDC)AtlantaGAUSA Departement of Computational Biology Departement of Global HealthInstitut PasteurParisFrance Institut de Physique des Deux Infinis de Lyon(IP2I) UMR5822IN2P3/CNRSUniversitéClaude Bernard Lyon 1VilleurbanneFrance Mathematical Modelling of Infectious Diseases Unit Institut PasteurUniversitéParis CitéUMR2000 CNRSParisFrance Decision and Bayesian Computation Institut PasteurUniversitéParis CitéCNRS UMR 3571France Fraunhofer-Institute for Translational Medicine and Pharmacology HamburgGermany Institute of Global Health Faculty of MedicineUniversity of

In July 2023,the Center of Excellence in Respiratory Pathogens organized a two-day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 *** report summarizes the rich discussions that occurred during the *** workshop participants discussed multisource data integration and highlighted the benefits of combining traditional surveillance with more novel data sources like mobility data,social media,and wastewater *** advancements were noted in the development of predictive models,with examples from various countries showcasing the use of machine learning and artificial intelligence in detecting and monitoring disease *** role of open collaboration between various stakeholders in modelling was stressed,advocating for the continuation of such partnerships beyond the pandemic.A major gap identified was the absence of a common international framework for data sharing,which is crucial for global pandemic ***,the workshop underscored the need for robust,adaptable modelling frameworks and the integration of different data sources and collaboration across sectors,as key elements in enhancing future pandemic response and preparedness.

关键词： Modelling Covid-19 Infectious diseases Pandemic preparedness Workshop

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Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping

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Big Earth Data 2017年第1期1卷 118-144页

作者： Christina Corbane Martino Pesaresi Panagiotis Politis Vasileios Syrris Aneta JFlorczyk Pierre Soille Luca Maffenini Armin Burger Veselin Vasilev Dario Rodriguez Filip Sabo Lewis Dijkstra thomas Kemper European Commission Joint research Centre(JrC)Directorate for SpaceSecurity&Migrationispraitaly Arhs Developments S.a. rue Nicolas BovéLuxembourg European Commission Joint research Centre(JrC)Directorate for Competencesispraitaly GFt italia S.r.l. Milanoitaly Arhs Developments italia S.r.l. Milanoitaly European Commission Economic analysis Unit at European Commission Directorate general for regional and Urban PolicyBrusselsBelgium

Continuous global-scale mapping of human settlements in the service of international agreements calls for massive volume of multi-source,multi-temporal,and multi-scale earth observation *** this paper,the latest developments in terms of processing big earth observation data for the purpose of improving the Global Human Settlement Layer(GHSL)data are *** experiments with Sentinel-1 and Landsat data collections were run leveraging on the Joint Research Centre Earth Observation Data and Processing Platform.A comparative analysis of the results of built-up areas extraction from different remote sensing data and processing workflows shows how the information production supported by data-intensive computing infrastructure for optimization and multiple testing can improve the output information reliability and consistency within the GHSL *** paper presents the processing workflows and the results of the two main experiments,giving insights into the enhanced mapping capabilities gained by analyzing Sentinel-1 and Landsat data-sets,and the lessons learnt in terms of handling and processing big earth observation data.

关键词： Big data built-up surfaces global human settlement layer Sentinel-1 Landsat JrC earth observation and processing platform

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天安·千树

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建筑实践 2019年第11期 76-81页

作者：托马斯·赫斯维克 Lisa Finlay Dani Rossello Diez Jimmy Hung thomas Impiglia Leo Cheung Claudia Orsetti Dimitrije Miletic Shan Li Vichayuth Meenaphant Vincenzo D'Auria Yuxiang Cao Chris Tsui nicolas Leuina Osbert So Philipp Nedomlel Philip Hall-Patch Kelin Yue 朱清言 Noah Sheldon 托马斯·赫斯维克事务所

"千树"场地距上海市中心仅20分钟路程,毗邻苏州河,四通八达,也曾是工业历史的核心地带。如今,它已崛起为当代艺术的繁荣之地。天安中国投资有限公司将此地块开发,希望在融合滨水自然元素的同时,让新与旧和谐共存。规定中,新设计需要保... 详细信息

"千树"场地距上海市中心仅20分钟路程,毗邻苏州河,四通八达,也曾是工业历史的核心地带。如今,它已崛起为当代艺术的繁荣之地。天安中国投资有限公司将此地块开发,希望在融合滨水自然元素的同时,让新与旧和谐共存。规定中,新设计需要保留历史建筑的部分,并需包含住宅、酒店、零售和商业的功能。

关键词： MLA 面粉厂

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动脉瘤性蛛网膜下腔出血患者的重症监护处理：神经危重症监护学会多学科共识会议的推荐意见

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国际脑血管病杂志 2013年第5期21卷 324-347页

作者： Michael N. Diringer thomas P. Bleck J. Claude Hemphill David Menon Lori Shutter Paul Vespa nicolas Bruder E. Sander Connolly Jr Giuseppe Citerio Daryl Gress Daniel Hanggi Brian L. Hoh Giuseppe Lanzino Peter Le Roux Alejandro Rabinstein, Erich Schmut zhard Nino Stocchetti Jose I. Suarez Miriam Tresgiari Ming-Yuan Tseng Mervyn D. I. Vergouwen Stefan Wolf Gregory Zip fel 田飞(译) 宿英英(译) From the Neurology/Neurosurgery Intensive Care Unit Washingion University St. Louis MO USA Rush Medical College Chicago IL USA University of California at San Francisco San Francisco CA USA University of Cambridge Cambridge UK University of Cincinnati Cincinnati OH USA University of California at Los Angeles LOs Angeles CA USA Universit6 de la M.diterranae Marsedle France Columbia University New York NY USA San Gerardo Hospital Monza Italy University of Virginia Charlottesville VA USA Heinrich-Heine University Dttsseldorf Germany University of Florida Gainesville FL USA Mayo Clinic Rochester MN USA University of Pennsylvania Philadelphia PA USA University Hospital Innsbruck lnnsbruck Austria Fondazione IRCCS Ch Granda- Ospedale Policlinico Milan University Milan Italy University of Washington St. Louis MO USA Baylor College of Medicine Houston TX USA Nottingham University Hospitals Nottingham UK University of Utrecht Utrecht The Netherlands Freie Universitit Berlin Berlin Germany Washington University St. Louis MO USA 首都医科大学宣武医院神经内科北京100053

蛛网膜下腔出血（subarachnoidhemorrhage，SAH）是一种可对中枢神经系统造成毁灭性打击并对其他多个器官产生显著影响的急性脑血管病。SAH患者被常规收入重症监护病房并由多学科团队进行治疗。由于高质量研究证据的缺乏，使得治疗方法... 详细信息

蛛网膜下腔出血（subarachnoidhemorrhage，SAH）是一种可对中枢神经系统造成毁灭性打击并对其他多个器官产生显著影响的急性脑血管病。SAH患者被常规收入重症监护病房并由多学科团队进行治疗。由于高质量研究证据的缺乏，使得治疗方法各异，可供选择的指导意见不多。现有的指南主要强调危险因素、预防、自然史以及再出血的预防，很少涉及SAH患者的重症监护问题。美国神经危重症监护学会组织了一次国际性多学科共识会议来探讨SAH的重症监护处理。根据发表的文章和研究领域，此次会议召集了来自欧洲和北美地区的神经重症监护科、神经外科、神经内科、介入神经放射科和神经麻醉科方面的专家。根据临床经验和制定实践指南方面的经验，选择4名经验丰富的神经重症监护专家组成评判委员会。应用推荐分级的评估、制定与评价（GradesofRecommendationsAssessment，DevelopmentandEvaluation，GRADE）系统进行文献回顾，结合参会者的经验、评判委员会的审评以及文献讨论产生推荐意见。应用GRADE系统制定推荐意见，其制定原则不仅强调研究资料的质量，而且还重视利弊权衡与实践转化。对SAH患者日常处理过程中面临的所有问题均提供指导和推荐意见，即使缺乏高质量的证据。

关键词：蛛网膜下腔出血重症监护动脉瘤血管痉挛抗惊厥药低钠血症血管内发热

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Correction to:Preface:Special Issue on Modeling,Simulation,and Optimization in Operational Research

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Journal of the Operations Research Society of China 2024年第2期12卷 548-548页

作者： Gerhard-Wilhelm Weber J.Joshua thomas Jose Antonio Marmolejo Saucedo Ugo Fiore Igor Litvinchev Pandian Vasant Poznan University of Technology PoznanPoland Institute of Applied Mathematics Middle East Technical UniversityAnkaraTurkey UOW Malaysia KDU Penang University CollegePetaling JayaMalaysia Facultad de Ingenieria Universidad PanamericanaMexico CityMexico Parthenope University and at Federico II University NaplesItaly Nuevo Leon State University San Nicolas de los GarzaMexico MERLIN Research Centre Ton Duc Thang UniversityHo Chi Minh CityVietnam

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奥米纽姆摩天大楼

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城市环境设计 2019年第2期118卷 220-227页

作者： Dominic James Black David Verbeek Gunther Weber Helen Chen Joanna Gajda Joseph James Haberl Lukas Kerner Maria Teresa Fernandez Rojo Natalie Isabel Stachnik nicolas Millot Sabine Kokina thomas Sebastian Krall Viktoria Millentrup Yan Ma Emily King Enea Michelesio Gabriel? Ubarevi?iūt? Giedrius Mamavicius Jesper Boye Andersen Jakob Lange Joanna Jakubowska Katarzyna Joanna Piekarczyk Julieta Muzillo Lorenzo Boddi Lucas Carriere Lucian Tofan Max Aldunate Reitour Raphael Cirani Sabine Kokina Tore Banke Frank Dinger Nils Koenning 陈思瑾

法兰克福是一座集欧洲古典街区与当代大都市高楼于一体的城市,在城市中心形成了一个充满生机的建筑群落。这种建筑上的结合提供了紧密与动态变化的天际线,与连接法兰克福北部的陶纳斯山脉遥相呼应。奥米纽姆大厦位于城市中建筑高低混合... 详细信息

法兰克福是一座集欧洲古典街区与当代大都市高楼于一体的城市,在城市中心形成了一个充满生机的建筑群落。这种建筑上的结合提供了紧密与动态变化的天际线,与连接法兰克福北部的陶纳斯山脉遥相呼应。奥米纽姆大厦位于城市中建筑高低混合区域的中心,通过周围的环境和建筑来提供一个合理的、具有雕塑感的剪影。BIG建议设计一座塔楼,扩张其中心以捕捉和容

关键词：法兰克福天际线平面图建筑群落

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阿基坦创意经济与文化中心

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城市环境设计 2019年第2期118卷 74-83页

作者： Alexander Codda Alicia Marie Sarah Borhardt Annette Birthe Jensen ?smund Skeie Aya Fibert Bartosz Kobylakiewicz Bernhard Touzet Brigitta Gulyás David Tao Edouard Champelle Espen Vik Greta Krenciute Greta Tafel Hyojin Lee Ivan Genov Jan Magasanik Jeffrey Mark Mikolajewski Karol Bogdan Borkowski Katarzyna Swiderska Kekoa Charlot Lorenzo Boddi Maria Teresa Fernandez Rojo Melissa Andres Michael Sch?nemann Jensen nicolas Millot Ola Hariri Ole Dau Mortensen Pascale Julien Paul-Antoine Lucas Raphael Ciriani Santiago Palacio Villa Se Hyeon Kim Sebastian Liszka Seunghan Yeum Snorre Emanuel Nash J?rgensen Teresa Fernández Thiago De Almeida thomas Jakobsen Randb?ll Yang Du Zoltan David Kalaszi Ivan Mata Laurent de Carniere 朱翰林

这栋建筑将三个文化机构融入其中:FRAC(阿基坦区当代艺术基金会)、ECLA(写作、音乐、电影和广播文化机构)和OARA(阿基坦区行为艺术家工作室)。现在它们被共同整合为阿基坦创意经济与文化中心,即MéCA文化中心。我们希望设计一栋可以将... 详细信息

这栋建筑将三个文化机构融入其中:FRAC(阿基坦区当代艺术基金会)、ECLA(写作、音乐、电影和广播文化机构)和OARA(阿基坦区行为艺术家工作室)。现在它们被共同整合为阿基坦创意经济与文化中心,即MéCA文化中心。我们希望设计一栋可以将波尔多滨水步道整合其中的建筑,允许公众生活路线从中穿过。

关键词：阿基坦波尔多城市客厅经济与文化

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Sub-percent precision measurement of neutrino oscillation parameters with JUNO

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Chinese Physics C 2022年第12期46卷 28-49页

作者： Angel Abusleme thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem Fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Riccardo Callegari Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Chi Chan Jinfan Chang Yun Chang Guoming Chen Pingping Chen Po-An Chen Shaomin Chen Xurong Chen Yixue Chen Yu Chen Zhiyuan Chen Zikang Chen Jie Cheng Yaping Cheng Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Ran Du Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei Li-Cheng Feng Qichun Feng Richard Ford Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Yuduo Guan Nunzio Guardone Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera YuenKeung Ho Yerevan Physics Institute YerevanArmenia UniversiéLibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing Institute of Spacecraft Environment Engineering BeijingChina Beijing Normal University BeijingChina China Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North China Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of Chinese Academy of Sciences BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin Institute of Technology HarbinChina University of Science and Technology of China HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South China HengyangChina Wuyi University JiangmenChina Shandong University JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Nanjing University NanjingChina Guangxi University NanningChina East China University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai University TianjinChina Wuhan University WuhanChina Xi'an Jiaotong University Xi'anChina Xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou

JUNO is a multi-purpose neutrino observatory under construction in the south of *** publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the *** sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite *** is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data *** the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering *** new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

关键词： neutrino oscillation reactor antineutrino precision measurement JUNO

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JUNO sensitivity on proton decay p→νK^(+)searches

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Chinese Physics C 2023年第11期47卷 7-22页

作者： Angel Abusleme thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram 安丰鹏安琪 Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga 蔡浩蔡啸蔡严克蔡志岩 Riccardo Callegari Antonio Cammi Agustin Campeny 曹传亚曹国富曹俊 Rossella Caruso Cédric Cerna 常劲帆 Yun Chang 陈平平 Po-An Chen 陈少敏陈旭荣 Yi-Wen Chen 陈义学陈羽陈长程捷程雅苹 Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille 邓智邓子艳 Wilfried Depnering Marco Diaz Xuefeng Ding 丁雅韵 Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko 董建蒙 Evgeny Doroshkevich Marcos Dracos Frédéric Druillole 杜然杜书先 Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Ulrike Fahrendholz 范东华樊磊方建方文兴 Marco Fargetta Dmitry Fedoseev Li-Cheng Feng 冯启春 Richard Ford Amélie Fournier 甘浩男 Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Agnese Giaz Nunzio Giudice Maxim Gonchar 龚光华宫辉 Yuri Gornushkin Alexandre Göttel Marco Grassi Christian Grewing Vasily Gromov 顾旻皓谷肖飞古宇关梦云 Nunzio Guardone Maria Gul 郭聪郭竞渊郭万磊郭新恒郭宇航 Paul Hackspacher Caren Hagner 韩然 Yang Han Muhammad Sohaib Hassan 何苗何伟 Tobias Heinz Patrick Hellmuth 衡月昆 Rafael Herrera 贺远强侯少静 Yee Hsiung Bei-Zhen Hu 胡航胡健润胡俊胡守扬胡涛胡宇翔胡焯钧黄春豪黄桂鸿黄翰雄黄文昊黄鑫黄性涛黄永波惠加琪霍雷霍文驹 Cédric Huss Safeer Hussain Ara Ioannisian Roberto Isocrate Beatrice Jelmini Kuo-Lun Jen Ignacio Jeria 季筱璐吉星曌贾慧慧贾俊基蹇司玉蒋荻蒋炜江晓山金如意荆小平 Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Ka Pontificia Universidad Católica de Chile SantiagoChile IPHC Universitéde StrasbourgCNRS/IN2P3F-67037 StrasbourgFrance Pakistan Institute of Nuclear Science and Technology IslamabadPakistan INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania CataniaItaly East China University of Science and Technology ShanghaiChina University of Science and Technology of China HefeiChina Joint Institute for Nuclear Research DubnaRussia INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano MilanoItaly Department of Physics Faculty of ScienceChulalongkorn UniversityBangkokThailand IJCLab UniversitéParis-SaclayCNRS/IN2P391405 OrsayFrance Department of Physics and Earth Science University of Ferrara and INFN Sezione di FerraraFerraraItaly INFN Milano Bicocca and University of Milano Bicocca MilanoItaly INFN Sezione di Padova PadovaItaly III.Physikalisches Institut B RWTH Aachen UniversityAachenGermany Eberhard Karls Universität Tübingen Physikalisches InstitutTübingenGermany Institute of High Energy Physics BeijingChina SUBATECH Universitéde NantesIMT AtlantiqueCNRS-IN2P3NantesFrance Univ.Bordeaux CNRSLP2IUMR 5797F-33170 GradignanFrance Department of Physics National Taiwan UniversityTaipei Dipartimento di Fisica e Astronomia dell’Universitàdi Padova and INFN Sezione di Padova PadovaItaly University of Roma Tre and INFN Sezione Roma Tre RomaItaly Aix Marseille Univ CNRS/IN2P3CPPMMarseilleFrance Wuhan University WuhanChina INFN Milano Bicocca and Politecnico of Milano MilanoItaly National United University Miao-Li Dongguan University of Technology DongguanChina Tsinghua University BeijingChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Institute of Physics National Yang Ming Chiao Tung UniversityHsinchu North China Electric Power University BeijingChina Sun Yat-Sen University GuangzhouChina Beijing Institute of Spacecraft Environment Engineering BeijingChina Universidade Estadual de Londrina LondrinaBrazil INFN Sez

The Jiangmen Underground Neutrino Observatory(JUNO)is a large liquid scintillator detector designed to explore many topics in fundamental *** this study,the potential of searching for proton decay in the p→νK^(+)mode with JUNO is *** kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for ***,the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed *** on these advantages,the detection efficiency for the proton decay via p→νK^(+)is 36.9%±4.9%with a background level of 0.2±0.05(syst)±0.2(stat)events after 10 years of data *** estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 years,which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies.

关键词： proton decay grand unified theories JUNO liquid scintillator detector

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