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arXiv 2023年

作者： McKinven, R. Gaensler, B.M. Michilli, D. Masui, K. Kaspi, V.M. Su, J. Bhardwaj, M. Cassanelli, T. Chawla, P. Dong, F. Fonseca, E. Leung, C. Li, D.Z. Ng, C. Patel, C. Pearlman, A.B. Petroff, E. Pleunis, Z. Rafiei-Ravandi, M. Rahman, M. Sand, K.R. Shin, K. Stairs, I.H. Tendulkar, S. Department of Physics McGill University 3600 rue University MontréalQCH3A 2T8 Canada McGill Space Institute McGill University 3550 rue University MontréalQCH3A 2A7 Canada Dunlap Institute for Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada David A. Dunlap Department of Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada Department of Physics Massachusetts Institute of Technology 77 Massachusetts Ave CambridgeMA02139 United States MIT Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology 77 Massachusetts Ave CambridgeMA02139 United States Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands Dept. of Physics and Astronomy 6224 Agricultural Road VancouverBCV6T 1Z1 Canada Lane Department of Computer Science and Electrical Engineering 1220 Evansdale Drive PO Box 6109 MorgantownWV26506 United States Center for Gravitational Waves and Cosmology West Virginia University Chestnut Ridge Research Building MorgantownWV26505 United States Department of Physics and Astronomy West Virginia University P.O. Box 6315 MorgantownWV26506 United States Cahill Center for Astronomy and Astrophysics California Institute of Technology 1216 E California Boulevard PasadenaCA91125 United States Sidrat Research PO Box 73527 RPO Wychwood TorontoONM6C 4A7 Canada Department of Astronomy and Astrophysics Tata Institute of Fundamental Research Mumbai400005 India National Centre for Radio Astrophysics Post Bag 3 Ganeshkhind Pune411007 India

Fast radio bursts (FRBs) display a confounding variety of burst properties and host galaxy associations. Repeating FRBs offer insight into the FRB population by enabling spectral, temporal and polarimetric properties to be tracked over time. Here, we report on the polarized observations of 12 repeating sources using multi-year monitoring with the Canadian Hydrogen Intensity Mapping Experiment (CHIME) over 400-800 MHz. We observe significant RM variations from many sources in our sample, including RM changes of several hundred rad m−2 over month timescales from FRBs 20181119A, 20190303A and 20190417A, and more modest RM variability (∆RM . few tens rad m−2) from FRBs 20181030A, 20190208A, 20190213B and 20190117A over equivalent timescales. Several repeaters display a frequency dependent degree of linear polarization that is consistent with depolarization via scattering. Combining our measurements of RM variations with equivalent constraints on DM variability, we estimate the average line-of-sight magnetic field strength in the local environment of each repeater. In general, repeating FRBs display RM variations that are more prevalent/extreme than those seen from radio pulsars in the Milky Way and the Magellanic Clouds, suggesting repeating FRBs and pulsars occupy distinct magneto-ionic environments. © 2023, CC BY.

关键词： Polarimeters

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Ray-Based Characterization of the AMPLE Model from 0.85 to 5 GHz

arXiv

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arXiv 2025年

作者： Zhou, Lingyou Dong, Xin Qiu, Kehai Yu, Gang Zhang, Jie Zhang, Jiliang School of Electrical and Electronic Engineering The University of Sheffield SheffieldS10 2TN United Kingdom Ranplan Wireless Network Design Ltd. CambridgeCB23 3UY United Kingdom Department of Computer Science and Technology University of Cambridge CambridgeCB3 0FD United Kingdom College of Engineering Design and Physical Sciences Brunel University of London UxbridgeUB8 3PH United Kingdom 5G/6G Innovation Centre University of Surrey SurreyGU2 7XH United Kingdom State Key Laboratory of Synthetical Automation for Process Industries The College of Information Science and Engineering Northeastern University Shenyang110819 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China

In this paper, we characterize the adaptive multiple path loss exponent (AMPLE) radio propagation model under urban macrocell (UMa) and urban microcell (UMi) scenarios from 0.85-5 GHz using Ranplan Professional. We first enhance the original AMPLE model by introducing an additional frequency coefficient to support path loss prediction across multiple carrier frequencies. By using measurement-validated Ranplan Professional simulator, we simulate four cities and validate the simulations for further path loss model characterization. Specifically, we extract the close-in (CI) model parameters from the simulations and compare them with parameters extracted from measurements in other works. Under the ray-based model characterization, we compare the AMPLE model with the 3rd Generation Partnership Project (3GPP) path loss model, the CI model, the alpha-beta-gamma (ABG) model, and those with simulation calibrations. In addition to standard performance metrics, we introduce the prediction-measurement difference error (PMDE) to assess overall prediction alignment with measurement, and mean simulation time per data point to evaluate model complexity. The results show that the AMPLE model outperforms existing models while maintaining similar model complexity. Copyright © 2025, The Authors. All rights reserved.

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Web Science 2024: Conference Chairs' Welcome Message

Proceedings of the 16th ACM Web Science Conference, WebSci 2...

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Proceedings of the 16th ACM Web Science Conference, WebSci 2024 2024年 III-X页

作者： Staab, Steffen Aiello, Luca Maria Mejova, Yelena Seneviratne, Oshani Sindermann, Cornelia Hagendorff, Thilo Brandes, Simone Rohlmann, Juliane Spaniol, Marc Kinder-Kurlanda, Katharina Faleńska, Agnieszka Heiberger, Raphael Sun, Jun Kaiser, Sierra De Choudhury, Munmun Weber, Matthew De Francisci Morales, Gianmarco Dunn, Adam Gadiraju, Ujwal Gaito, Sabrina Hooper, Silas Javarone, Marco Alberto Kalimeri, Kyriaki Kwak, Haewoon Maity, Suman Kalyan Mashhadi, Afra Mustafaraj, Eni Purohit, Hemant Rossetti, Giulio Sastry, Nishanth Srinivasa, Srinath Vaz-De-Melo, Pedro Weal, Mark Weber, Ingmar Weninger, Tim Withing, Mark Zubiaga, Arkaitz Ahlers, Dirk Tamime, Reham Al Alam, Sawood Alhoori, Hamed Andriotis, Panagiotis Bär, Dominik Bernstein, Mark Boratto, Ludovico Camargo, Chico Capozzi, Arthur Chelmis, Charalampos Vieira, Carolina Coimbra De Meo, Pasquale Dinh, Ly Dividino, Renata Doerfel, Stephan Farahbakhsh, Reza Ferreira, Carlos H.G. Flores-Saviaga, Claudia Florio, Komal Galdeman, Alessia Guo, Cheng Hakimov, Sherzod Rad, Radin Hamidi Helic, Denis Hohmann, Marilena Horawalavithana, Sameera Horne, Benjamin Ibanez-Gonzalez, Luis Jiang, Julie Jones, Shawn Kamdar, Maulik R. Kao, Hsien-Te Kassa, Yonas Mitike Kastrin, Andrej Kazama, Kazuhiro Kelly, Mat Khanday, Akib Khatua, Aparup Khudabukhsh, Ashiqur Krüger, Frank Kumari, Neha Lai, Mirko Lamba, Hemank Lee, Roy Ka-Wei Lee, Eun Liao, Yiming Lin, Wenqing Magelinski, Thomas Magnani, Matteo Hill, Benjamin Mako Manikonda, Lydia Masud, Sarah Mekouar, Soufiana Møller, Anders Giovanni Muthiah, Sakthi Ni, Congning Nishimura, Joel Nwala, Alexander Pera, Arianna Piao, Guangyuan Piccardi, Tiziano Pierri, Francesco Porcaro, Lorenzo Ramasco, Jose J. Reelfs, Jens Rezapour, Rezvaneh Salminen, Joni Šćepanović, Sanja Shahi, Gautam Kishore Sinha, Priyanka Smaragdakis, Georgios Smirnova, Inna Song, Melodie Yun-Ju Sosnovik, Vera Truong, Bao Tran Tsugawa, Sho Vasarhelyi, Orsolya D'Aurelio, Davide Vega Vekaria, Yash Vilella, Salvatore Viviani, Marco Wang, Yichen Wu, Siqi Yang, Kaicheng Zeng, Yilei Zha University of Stuttgart Germany IT University of Copenhagen Denmark ISI Foundation Italy Rensselaer Polytechnic Institute United States Université de Caen Normandie France University of Klagenfurt Austria University of Washington United States GESIS Germany Georgia Tech United States IIIT Bangalore India Rutgers University United States CENTAI Italy University of Sydney Australia Delft University of Technology Netherlands University of Milan Italy Canada Centro Ricerche Enrico Fermi UCL CBT Italy Indiana University Bloomington United States Northwestern University United States UW United States Wellesley College United States George Mason University United States CNRS France King's College London United Kingdom International Institute of Information Technology Bangalore India UFMG Brazil University of Southampton United Kingdom Saarland University Germany University of Notre Dame United States UPenn United States Queen Mary University of London United Kingdom Norwegian University of Science and Technology Norway Internet Archive United States Northern Illinois University United States University of the West of England United Kingdom LMU Munich Germany Eastgate Systems Inc. United States University of Cagliari Italy University of Exeter United Kingdom University of Turin Italy University at Albany State University of New York United States Max Planck Institute for Demographic Research Germany Vrije Universiteit Amsterdam Netherlands University of South Florida United States Brock University Canada Kiel University of Applied Sciences Germany Institut Mines-Télécom Télécom SudParis France Universidade Federal de Ouro Preto Brazil Northeastern University United States Università di Torino Dipartimento di Informatica Italy Clemson University Google United States TIB - Leibniz Information Centre for Science and Technology Germany Ryerson University Canada Graz University of Technology Austria University of Copenhagen Denmark Pacific Northwest National La

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Introducing the Bulletin of Atmospheric Science and technology

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Bulletin of Atmospheric Science and technology 2020年第1期1卷 1-11页

作者： Di Girolamo, Paolo Di Sabatino, Silvana Archer, Cristina Lozej Buontempo, Carlo Bordoni, Simona Budillon, Giorgio Buzzi, Andrea Cimini, Domenico Curci, Gabriele Cuxart, Joan Davolio, Silvio Ferretti, Rossella Gerosa, Giacomo Marzano, Frank Miglietta, Mario Marcello Paccagnella, Tiziana Petitta, Marcello Pilla, Francesco Richard, Evelyne Rotunno, Richard Serafin, Stefano Serio, Carmine Troccoli, Alberto Zardi, Dino School of Engineering University of Basilicata Potenza Italy Department of Physics and Astronomy University of Bologna Bologna Italy Center for Research in Wind University of Delaware Newark USA European Centre for Medium-Range Weather Forecasts Readings UK Department of Civil Environmental and Mechanical Engineering University of Trento Trento Italy Division of Geological and Planetary Sciences California Institute of Technology Pasadena USA Department of Science and Technology University of Napoli “Parthenope” Naples Italy Institute of Atmospheric Sciences and Climate National Research Council Bologna Italy Institute of Methodologies for Environmental Analysis National Research Council Tito Scalo Italy Department of Physical and Chemical Sciences University of L’Aquila L’Aquila Italy Department of Physics University of the Balearic Islands Palma Spain Department of Mathematics and Physics University “Cattolica del S.C.” Brescia Italy Department of Computer Engineering University of Roma “Sapienza” Rome Italy Institute of Atmospheric Sciences and Climate National Research Council Padova Italy Hydro-Meteo-Climate Service Regional Agency for Prevention Environment and Energy of Emilia-Romagna Bologna Italy Energy & Environment Modeling Unit Climate & Impact Modeling Laboratory National Agency for New Technologies Energy and Sustainable Economic Development Rome Italy Smart Cities & Urban Environment University College Dublin Ireland Aerology Laboratory Toulouse France National Center for Atmospheric Research Boulder USA Department of Atmospheric and Cryospheric Sciences University of Innsbruck Innsbruck Austria University of East Anglia Norwich UK

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Correction to: Pharmacological Rescue With SR8278, A Circadian Nuclear Receptor REV-ERBα Antagonist As A Therapy for Mood Disorders In Parkinson's Disease

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Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics 2022年第4期19卷 1432页

作者： Jeongah Kim Inah Park Sangwon Jang Mijung Choi Doyeon Kim Woong Sun Youngshik Choe Ji-Woong Choi Cheil Moon Sung Ho Park Han Kyoung Choe Kyungjin Kim Department of Brain Sciences Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Korea. Department of Anatomy College of Medicine Korea University Seoul Korea. Program in Neurosciences & Mental Health The Hospital for Sick Children Toronto ON Canada. Korea Brain Research Institute (KBRI) Daegu Korea. Department of Electrical Engineering and Computer Science DGIST Daegu Korea. Convergence Research Advanced Centre for Olfaction DGIST Daegu Korea. Department of Biological Sciences Ulsan National Institute of Science and Technology (UNIST) Ulsan 44919 Korea. Department of Brain Sciences Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Korea. kyungjin@dgist.ac.kr. Convergence Research Advanced Centre for Olfaction DGIST Daegu Korea. kyungjin@dgist.ac.kr.

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Patterns of somatic structural variation in human cancer genomes (vol 578, pg 112, 2020)

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NATURE 2023年第7948期614卷 E38-E38页

作者： Li, Yilong Roberts, Nicola D. Wala, Jeremiah A. Shapira, Ofer Schumacher, Steven E. Kumar, Kiran Khurana, Ekta Waszak, Sebastian Korbel, Jan O. Haber, James E. Imielinski, Marcin Weischenfeldt, Joachim Beroukhim, Rameen Campbell, Peter J. Cancer Genome Project Wellcome Trust Sanger Institute Hinxton UK Totient Inc Cambridge MA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Haematology University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Korea Advanced Institute of Science and Technology Daejeon South Korea Department of Zoology Genetics and Physical Anthropology University of Santiago de Compostela Santiago de Compostela Spain Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS) University of Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) University of Vigo Vigo Spain Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain Department of Zoology Genetics and Physical Anthropology (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) Universidade de Vigo Vigo Spain The Broad Institute of Harvard and MIT Cambridge MA USA Bioinformatics and Integrative Genomics Harvard University Cambridge MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Harvard Medical School Boston MA USA Massachusetts General Hospital Center for Cancer Research Charlestown MA USA Dana-Farber Cancer Institute Boston MA USA Department of Biostatistics and Computational Biology Dana-Farber Cancer Institute and Harvard Medical School Boston MA USA Weill Cornell Medical College New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine Ne

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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

arXiv

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arXiv 2022年

作者： Ali, Sharib Ghatwary, Noha Jha, Debesh Isik-Polat, Ece Polat, Gorkem Yang, Chen Li, Wuyang Galdran, Adrian Ballester, Miguel-Ángel González Thambawita, Vajira Hicks, Steven Poudel, Sahadev Lee, Sang-Woong Jin, Ziyi Gan, Tianyuan Yu, ChengHui Yan, JiangPeng Yeo, Doyeob Lee, Hyunseok Tomar, Nikhil Kumar Haithmi, Mahmood Ahmed, Amr Riegler, Michael A. Daul, Christian Halvorsen, Pål Rittscher, Jens Salem, Osama E. Lamarque, Dominique Cannizzaro, Renato Realdon, Stefano de Lange, Thomas East, James E. Institute of Biomedical Engineering Department of Engineering Science University of Oxford OxfordOX3 7DQ United Kingdom Oxford National Institute for Health Research Biomedical Research Centre OxfordOX4 2PG United Kingdom Big Data Institute University of Oxford Li Ka Shing Centre for Health Information and Discovery OxfordOX3 7LF United Kingdom Translational Gastroenterology Unit Nuffield Department of Medicine Experimental Medicine Div. John Radcliffe Hospital University of Oxford OxfordOX3 9DU United Kingdom Computer Engineering Department Arab Academy for Science and Technology Alexandria1029 Egypt SimulaMet Oslo0167 Norway Department of Computer Science UiT The Arctic University of Norway Hansine Hansens veg 18 Tromsø9019 Norway Medical Department Sahlgrenska University Hospital-Mölndal Blå stråket 5 Göteborg413 45 Sweden Veneto Institute of Oncology IOV-IRCCS Via Gattamelata 64 Padua35128 Italy CRO Centro Riferimento Oncologico IRCCS Aviano Italy Via Franco Gallini 2 PN Aviano33081 Italy Université de Versailles St-Quentin en Yvelines Hôpital Ambroise Paré 9 Av. Charles de Gaulle Boulogne-Billancourt92100 France Faculty of Medicine University of Alexandria Alexandria21131 Egypt Graduate School of Informatics Middle East Technical University Ankara06800 Turkey City University of Hong Kong Kowloon Hong Kong BCN MedTech Dept. of Information and Communication Technologies Universitat Pompeu Fabra Barcelona08018 Spain Department of IT Convergence Engineering Gachon University Seongnam13120 Korea Republic of College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou310027 China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department of Automation Tsinghua University Beijing100084 China Smart Sensing & Diagnosis Research Division Korea Atomic Energy Research Institute 34057 Korea Republic of Daegu-Gyeongbuk Medical Innovation Foundation Medical Device Deve

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and characterisation. Moreover, colonoscopic surveillance and removal of polyps (referred to as polypectomy) are highly operator-dependent procedures. There exist a high missed detection rate and incomplete removal of colonic polyps due to their variable nature, the difficulties to delineate the abnormality, the high recurrence rates, and the anatomical topography of the colon. There have been several developments in realising automated methods for both detection and segmentation of these polyps using machine learning. However, the major drawback in most of these methods is their ability to generalise to out-of-sample unseen datasets that come from different centres, modalities and acquisition systems. To test this hypothesis rigorously we curated a multi-centre and multi-population dataset acquired from multiple colonoscopy systems and challenged teams comprising machine learning experts to develop robust automated detection and segmentation methods as part of our crowd-sourcing Endoscopic computer vision challenge (EndoCV) 2021. In this paper, we analyse the detection results of the four top (among seven) teams and the segmentation results of the five top teams (among 16). Our analyses demonstrate that the top-ranking teams concentrated on accuracy (i.e., accuracy > 80% on overall Dice score on different validation sets) over real-time performance required for clinical applicability. We further dissect the methods and provide an experiment-based hypothesis that reveals the need for improved generalisability to tackle diversity present in multi-centre datasets. © 2022, CC BY-NC-SA.

关键词： Endoscopy

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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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Dual Band CPW-Fed Double Monopole Antenna for 2.4/5.8 GHz ISM band Medical Applications

Dual Band CPW-Fed Double Monopole Antenna for 2.4/5.8 GHz IS...

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International Symposium on Advanced Electrical and Communication Technologies (ISAECT)

作者： Chaïmaâ Kissi Mariella Särestöniemi Marko Sonkki Sami Myllymäki Mohamed Nabil Srifi Heli Jantunen Carlos Pomalaza-Raez Electronics and Telecommunication Systems Research Group National School of Applied Sciences (ENSA) Ibn Tofail University Kenitra Morocco Centre for Wireless Communications Faculty of Information Technology and Electrical Engineering University of Oulu Oulu Finland Microelectronics Research Unit Faculty of Information Technology and Electrical Engineering University of Oulu Oulu Finland Department of Electrical and Computer Engineering Purdue University Indiana USA

ISBN: (数字)9781728137292

ISBN: (纸本)9781728137308

The conception and realization of a dual-band coplanar waveguide fed double monopole antenna, working at 2.4 and 5.8 GHz Industrial, Scientific and Medical (ISM) bands, is presented in this paper. To operate effectively at the aforementioned bands, the designed antenna consists of a symmetrical folded long monopole and a short monopole which are responsible of the resonant frequencies at 2.45 and 5.8 GHz, respectively. Furthermore, both monopoles are fed by a coplanar waveguide. The symmetrical configuration allows the proposed antenna to obtain symmetrical radiation patterns. Hence, an omnidirectional radiation pattern is obtained at 2.45 and 5.8 GHz. A detailed parametric study and antenna parameters are reported and the proposed antenna is designed, fabricated and measured in free space. The proposed antenna has a compact size with the overall dimensions of 30 mm × 27 mm × 1.6 mm. It is concluded from the measured results, that the presented antenna could be considered for applications operating at 2.4 and 5.8 GHz ISM bands. Next, a metallic reflector was introduced to the planar structure in order to improve the gain and provide better directivity for onbody applications, for instance wireless capsule endoscopy systems. For this specific application, the antenna will act as receiving antenna and hence will be held by the patient, which requires a primary on/in-body investigation next to the small intestine region (complex organ of the gastrointestinal tract), as discussed in the paper using multi-layer and voxel models. It is concluded that the proposed antenna structure is a good receiving antenna for wireless capsule endoscopy systems.

关键词： Antenna measurements Resonant frequency Dual band Antenna radiation patterns Wireless communication Receiving antennas

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Search for the rare decay B^(0)→J/ψФ

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Chinese Physics C 2021年第4期45卷 47-60页

作者： R.Aaij C.Abellin Beteta T.Ackernley B.Adeva M.Adinolfi H.Afsharnial C.A.Aidala S.Aiola Z.Ajaltouni S.Akar J.Albrecht F.Alessio M.Alexander A.Alfonso Albero Z.Aliouche G.Alkhazov P.Alvarez Cartelle S.Amato Y.Amhis L.An L.Anderlini A.Andreianov M.Andreotti F.Archilli A.Artamonov M.Artuso K.Arzymatov E.Aslanides M.Atzeni B.Audurier S.Bachmann M.Bachmaver J.J.Back S.Baker P.Baladron Rodriguez V.Balagura W.Baldinit J.Baptista Leite R.J.Barlow S.Barsuk W.Barter M.Bartolini F.Baryshnikov J.M.Basels G.Bassi B.Batsukh A.Battig A.Bay M.Becker F.Bedeschis I.Bediaga A.Beiter V.Belavin S.Belin V.Bellee K.Belous I.Belov I.Belyaev G.Bencivenni E.Ben-Haim A.Berezhnoy *** D.Berninghoff H.C.Bernstein C.Bertella E.Bertholet A.Bertolin C.Betancourt F.Betti M.O.Bettler Ia.Bezshyiko S.Bhasin J.Bhom L.Bian M.S.Bieker S.Bifani P.Billoir M.Birch F.C.R.Bishop A.Bizzeti M.Biorn M.P.Blago T.Blake F.Blanc S.Blusk D.Bobulska J.A.Boelhauve O.Boente Garcia T.Boettcher A.Boldyrev A.Bondar N.Bondar S.Borghi M.Borisyak M.Borsato J.T.Borsuk S.A.Bouchiba T.J.V.Bowcock A.Boyer C.Bozzi M.J.Bradley S.Braun A.Brea Rodriguezs M.Brodski J.Brodzicka A.Brossa Gonzalo D.Brundu A.Buonaura C.Burr A.Burschee A.Butkevich J.S.Butter J.Buytaert W.Byczynski S.Cadeddu H.Cai R.Calabrese L.Calefice L.Calero Diaz S.Cali R.Calladine M.Calvi M.Calvo Gomez P.Camargo Magalhaes A.Camboni P.Campana D.H.Campora Perez A.F.Campoverde Quezada S.Capelli L.Capriotti A.Carbonel G.Carboni R.Cardinale A.Cardini I.Carli P.Carniti L.Carus K.Carvalho Akiba A.Casais Vidal G.Casse M.Cattaneo G.Cavallero S.Celani J.Cerasoli A.J.Chadwick M.G.Chapman M.Charles Ph.Charpentier G.Chatzikonstantinidis C.A.Chavez Barajas M.Chefdeville C.Chen S.Chen A.Chernov S.-G.Chitic V.Chobanova S.Cholak M.Chrzaszcz A.Chubykin V.Chulikov P.Ciambrone M.F.Cicala X.Cid Vidal G.Ciezarek P.E.L.Clarke M.Clemencic H.V.Cliff J.Closier J.L.Cobbledick V.Coco J.A.B.Coelho J.Cogan E.Cogneras L.Cojocariu P.Collins T.Colombo L.Congedo A.Contu N.Cooke G.Coombs G.Corti C.M.Costa Sobral B.Couturier D.C.Craik J.Crkovska M.Cruz Centro Brasileiro de Pesquisas Fisicas(CBPF) Riode JaneiroBrazil Universidade Federal do Riode Janeiro(UFRJ) Riode JaneiroBrazil Center for High Energy Physics Tsinghua UniversityBeijingChina School of Physics State Key Laboratory of Nuclear Physics and Technology Peking UniversityBeijingChina University of Chinese Academy of Sciences BeijingChina Institute Of High Energy Physics(IHEP) BejingChina Institute of Particle Physics Central China Normal UniversityWuhanHubeiChina Univ.Grenoble Alpes Univ.Savoie Mont BlancCNRSIN2P3-LAPPAnnecyFrance Universite Clermont Auvergne CNRS/IN2P3LPCClermont-FerrandFrance Aix Marseille Univ CNRS/IN2P3CPPMMarseilleFrance Universitq Paris-Saclay CNRS/IN2P3IJCLabOrsayFrance LPNHE Sorbonne UniversiteParis Diderot Sorbonne Paris CiteCNRS/IN2P3ParisFrance I.Physikalisches Institut RWTH Aachen UniversityAachenGermany Fakultat Physik Technische Universitat DortmundDortmundGermany Max-Planck-Institut fir Kernphysik(MPIK) HeidelbergGermany Physikalisches Institut Ruprecht-Karls-Universitat HeidelbergHeidelbergGermany School of Physics University College DublinDublinIreland INFN Sezione di Bari BariItaly INFN Sezione di Bologna BolognaItaly INFN Sezione di Ferrara FerraraItaly INFN Sezione di Firenze FirenzeItaly INFN Laboratori Nazionali di Frascati Frascatiltaly INFN Sezione di Genova GenovaItaly INFN Sezione di Milano Bicocca Milanolaly INFN Sezione di Milano MilanoItaly INFN Sezione di Cagliari Monserratoltaly Universita degli Studi di Padova Universita e INFNPadovaPadovaItaly INFN Sezione di Pisa PisaItaly INFN Sezione di Roma Tor Vergata RomaItaly INFN Sezione di Roma La Sapienza RomaItaly Nikhef National Institute for Subatomic Physics AmsterdamNetherlands Nikhef National Institute for Subatomic Physics and VU University Amsterdam AmsterdamNetherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences KrakowPoland AGH-University of Science and Technology Faculty of Physics and Applied Computer Science

A search for the rare decay B^(0)→J/ψФis performed using Pp collision data collected with the LHCb dete-ctor at centre-of-mass energies of 7,8 and 13 TeV,corresponding to an integrated luminosity of9 *** significant signal of the decay is observed and an upper limitof 1.1x 10^(-7)at 90%confidence level is set on the branching fraction.

关键词： B physics flavour physics rare decay ω-Фmixing branching fraction

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