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Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model:A cohort study

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World Journal of Hepatology 2024年第2期16卷 193-210页

作者： Jonathan Soldera leandro luis corso Matheus Machado Rech Vinícius Remus Ballotin Lucas Goldmann Bigarella Fernanda Tomé Nathalia Moraes Rafael Sartori Balbinot Santiago Rodriguez Ajacio Bandeira de Mello Brandão Bruno Hochhegger Post Graduate Program at Acute Medicine and Gastroenterology University of South WalesCardiff CF371DLUnited Kingdom Postgraduate Program in Pathology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil Department of Engineering Universidade de Caxias do SulCaxias do Sul 95070-560Brazil School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560Brazil Postgraduate Program in Hepatology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil

BACKGROUND Liver transplant(LT)patients have become older and *** rate of post-LT major adverse cardiovascular events(MACE)has increased,and this in turn raises 30-d post-LT *** cardiac stress testing loses accuracy when applied to pre-LT cirrhotic *** To assess the feasibility and accuracy of a machine learning model used to predict post-LT MACE in a regional *** This retrospective cohort study involved 575 LT patients from a Southern Brazilian academic *** developed a predictive model for post-LT MACE(defined as a composite outcome of stroke,new-onset heart failure,severe arrhythmia,and myocardial infarction)using the extreme gradient boosting(XGBoost)machine learning *** addressed missing data(below 20%)for relevant variables using the k-nearest neighbor imputation method,calculating the mean from the ten nearest neighbors for each *** modeling dataset included 83 features,encompassing patient and laboratory data,cirrhosis complications,and pre-LT cardiac *** performance was assessed using the area under the receiver operating characteristic curve(AUROC).We also employed Shapley additive explanations(SHAP)to interpret feature *** dataset was split into training(75%)and testing(25%)*** was evaluated using the Brier *** followed Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for ***-learn and SHAP in Python 3 were used for all *** supplementary material includes code for model development and a user-friendly online MACE prediction *** Of the 537 included patients,23(4.46%)developed in-hospital MACE,with a mean age at transplantation of 52.9 *** majority,66.1%,were *** XGBoost model achieved an impressive AUROC of 0.89 during the training *** model exhibited accuracy,precision,recall,and F1-score values of 0.84,0.85,0.80,and 0.79,***

关键词： Liver transplantation Major adverse cardiac events Machine learning Myocardial perfusion imaging Stress test

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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 安丰鹏安琪 Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste 白伟东 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 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 Chi Chan 常劲帆 Yun Chang 陈国明陈平平 Po-An Chen 陈少敏 Xurong Chen 陈义学陈羽陈志源陈梓康程捷程雅苹 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 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 Donghua Fan 樊磊方建方文兴 Marco Fargetta Dmitry Fedoseev 费政勇 Li-Cheng Feng 冯启春 Richard Ford Amélie Fournier 甘浩男高峰 Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar 龚光华宫辉 Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov 顾旻皓谷肖飞古宇关梦云管宇铎 Nunzio Guardone 郭聪郭竞渊郭万磊 Xinheng Guo 郭宇航 Paul Hackspacher Caren Hagner 韩然 Yang Han 何苗 Wei He Tobias Heinz Patrick Hellmuth 衡月昆 Rafael Herrera 贺远强侯少静 Yee Hsiung Bei-Zhen Hu 胡航 Jianrun Hu 胡俊胡守扬胡涛胡宇翔胡焯钧黄桂鸿黄翰雄黄凯旋黄文昊 Xin Huang 黄性涛黄永波惠加琪霍雷霍文驹 Cédric Huss Safeer Hussain Ara Ioannisian Roberto Isocrate Beatrice Jelmini Ignacio Jeria 季筱璐贾慧慧贾俊基蹇司玉蒋荻蒋炜江晓山荆小平 Cécile Jollet Jari Joutsenvaara Leonidas Kalousis Philipp Kampmann 康丽 Rebin Karaparambil Narine Kazarian Amina Khatun 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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Fungal diversity notes 111-252-taxonomic and phylogenetic contributions to fungal taxa

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Fungal Diversity 2015年第6期75卷 27-274页

作者： Hiran A.Ariyawansa Kevin D.Hyde Subashini C.Jayasiri Bart Buyck K.W.Thilini Chethana Dong Qin Dai Yu Cheng Dai Dinushani A.Daranagama Ruvishika S.Jayawardena Robert Lücking Masoomeh Ghobad-Nejhad Tuula Niskanen Kasun M.Thambugala Kerstin Voigt Rui Lin Zhao Guo-Jie Li Mingkwan Doilom Saranyaphat Boonmee Zhu L.Yang Qing Cai Yang-Yang Cui Ali H.Bahkali Jie Chen Bao Kai Cui Jia Jia Chen Monika C.Dayarathne Asha J.Dissanayake Anusha H.Ekanayaka Akira Hashimoto Sinang Hongsanan E.B.Gareth Jones Ellen Larsson Wen Jing Li Qi-Rui Li Jian Kui Liu Zong Long Luo Sajeewa S.N.Maharachchikumbura Ausana Mapook Eric H.C.McKenzie Chada Norphanphoun Sirinapa Konta Ka Lai Pang Rekhani H.Perera Rungtiwa Phookamsak Chayanard Phukhamsakda Umpava Pinruan Emile Randrianjohany Chonticha Singtripop Kazuaki Tanaka Cheng Ming Tian Saowaluck Tibpromma Mohamed A.Abdel-Wahab Dhanushka N.Wanasinghe Nalin N.Wijayawardene Jin-Feng Zhang Huang Zhang Faten A.Abdel-Aziz Mats Wedin Martin Westberg Joseph F.Ammirati Timur S.Bulgakov Diogo X.Lima Tony M.Callaghan Philipp Callac Cheng-Hao Chang luis F.Coca Manuela Dal-Forno Veronika Dollhofer Kateřina Fliegerová Katrin Greiner Gareth W.Griffith Hsiao-Man Ho Valerie Hofstetter Rajesh Jeewon Ji Chuan Kang Ting-Chi Wen Paul M.Kirk Ilkka Kytövuori James D.Lawrey Jia Xing Hong Li Zou Yi Liu Xing Zhong Liu Kare Liimatainen H.Thorsten Lumbsch Misato Matsumura Bibiana Moncada Salilaporn Nuankaew Sittiporn Parnmen AndréL.C.M.de Azevedo Santiago Sujinda Sommai Yu Song Carlos A.F.de Souza Cristina M.de Souza-Motta Hong Yan Su Satinee Suetrong Yong Wang Syuan-Fong Wei Ting Chi Wen Hai Sheng Yuan Li Wei Zhou Martina Réblová Jacques Fournier Erio Camporesi J.Jennifer Luangsa-ard Kanoksri Tasanathai Artit Khonsanit Donnaya Thanakitpipattana Sayanh Somrithipol Paul Diederich Ana M.Millanes Ralph S.Common Marc Stadler Ji Ye Yan XingHong Li Hye Won Lee Thi T.T.Nguyen Hyang Burm Lee Eliseo Battistin Orlando Marsico Alfredo Vizzini Jordi Vila Enrico Ercole Ursula Eberhardt Giampaolo Simonini Hua-An Wen Xin-Hua Chen Otto Mie Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouChina Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanChina Centre of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailan Département Systématique et Evolution CP 39ISYEBUMR 7205 CNRS MNHN UPMC EPHEMuséum National d’Histoire Naturelle12 Rue BuffonF-75005 ParisFrance Institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry SciencesNo.9 of Shu Guang Hua Yuan Zhong LuHaidian DistrictBeijing 10097China Microbial Drugs Helmholtz-Centre for Infection Research Inhoffenstrasse 738124 BraunschweigGermany Staatliches Museum für Naturkunde Stuttgart Rosenstein 1D-70191StuttgartGermany Institute of Microbiology Beijing Forestry UniversityPO Box 61Beijing 100083China State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesNo 31st West Beichen RoadChaoyang DistrictBeijing 100101China The Herbarium(ANDA) Universitas AndalasPadangSumatera Barat 25163Indonesia Botanischer Garten&Botanisches Museum Berlin Freie Universität BerlinKönigin-Luise-Straße 6-814195 BerlinGermany Department of Biotechnology Iranian Research Organization for Science and Technology(IROST)P.O.Box 3353-5111Tehran ***Iran Jodrell Laboratory Royal Botanic GardensKew TW93DSUK Leibniz Institute for Natural Product Research and Infection Biology Jena Microbial Resource CollectionAdolf-Reichwein-Strasse 2307745 JenaGermany Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box:2455Riyadh 1145Saudi Arabia The United Graduate School of Agricultural Sciences Iwate University18-8 Ueda 3 ChomeMorioka 020-8550Japan Faculty of Agriculture and Life Sciences Hirosaki University3 Bunkyo-choHirosakiAomori 036-8561Japan Department of Biological and Environmental Sciences University of GothenburgBox 461SE

This paper is a compilation of notes on 142 fungal taxa,including five new families,20 new genera,and 100 new species,representing a wide taxonomic and geographic *** new families,Ascocylindricaceae,Caryosporaceae and Wicklowiaceae(Ascomycota)are introduced based on their distinct lineages and unique *** new Dothideomycete genera Pseudomassariosphaeria(Amniculicolaceae),Heracleicola,Neodidymella and Pseudomicrosphaeriopsis(Didymellaceae),Pseudopithomyces(Didymosphaeriaceae),Brunneoclavispora,Neolophiostoma and Sulcosporium(Halotthiaceae),Lophiohelichrysum(Lophiostomataceae),Galliicola,Populocrescentia and Vagicola(Phaeosphaeriaceae),Ascocylindrica(Ascocylindricaceae),Elongatopedicellata(Roussoellaceae),Pseudoasteromassaria(Latoruaceae)and Pseudomonodictys(Macrodiplodiopsidaceae)are *** newly described species of Dothideomycetes(Ascomycota)are Pseudomassariosphaeria bromicola(Amniculicolaceae),Flammeascoma lignicola(Anteagloniaceae),Ascocylindrica marina(Ascocylindricaceae),Lembosia xyliae(Asterinaceae),Diplodia crataegicola and Diplodia galiicola(Botryosphaeriaceae),Caryospora aquatica(Caryosporaceae),Heracleicola premilcurensis and Neodidymella thailandicum(Didymellaceae),Pseudopithomyces palmicola(Didymosphaeriaceae),Floricola viticola(Floricolaceae),Brunneoclavispora bambusae,Neolophiostoma pigmentatum and Sulcosporium thailandica(Halotthiaceae),Pseudoasteromassaria fagi(Latoruaceae),Keissleriella dactylidicola(Lentitheciaceae),Lophiohelichrysum helichrysi(Lophiostomataceae),Aquasubmersa japonica(Lophiotremataceae),Pseudomonodictys tectonae(Macrodiplodiopsidaceae),Microthyrium buxicola and Tumidispora shoreae(Microthyriaceae),Alloleptosphaeria clematidis,Allophaeosphaeria cytisi,Allophaeosphaeria subcylindrospora,Dematiopleospora luzulae,Entodesmium artemisiae,Galiicola pseudophaeosphaeria,Loratospora luzulae,Nodulosphaeria senecionis,Ophiosphaerella aquaticus,Populocrescentia forlicesenensis and Vagicola vagans(Phaeosphaeriaceae),Elon

关键词： Fungi Taxonomy New genus New species Phylogeny

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Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO

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Chinese Physics C 2021年第2期45卷 93-110页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yan Yerevan Physics Institute YerevanArmenia UniversitéLibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro RioBrazil 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 JinanChina 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 UniversityZhengzhouChina Institute of Physics National Chiao-Tung University Hsinchu National United University Miao-Li Department of Physics National T

The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main *** of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator *** this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/*** ten years of data acquisition,approximately 60,000 signal and 30,000 background events are *** large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation *** m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith ***,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment.

关键词： neutrino oscillation solar neutrino 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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