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Global, regional, and national burden of mortality associated with cold spells during 2000-19: a three-stage modelling study

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The Lancet Planetary Health 2024年第2期8卷 e108-e116页

作者： Gao, Yuan Huang, Wenzhong Zhao, Qi Ryti, Niilo Armstrong, Ben Gasparrini, Antonio Tong, Shilu Pascal, Mathilde Urban, Aleš Zeka, Ariana Lavigne, Eric Madureira, Joana Goodman, Patrick Huber, Veronika Forsberg, Bertil Kyselý, Jan Sera, Francesco Guo, Yuming Li, Shanshan Bell, Michelle Hales, Simon Honda, Yasushi Jaakkola, Jouni J.K. Tobias, Aurelio Vicedo-Cabrera, Ana Maria Abrutzky, Rosana Coelho, Micheline de Sousa Zanotti Stagliorio Saldiva, Paulo Hilario Nascimento Correa, Patricia Matus Ortega, Nicolás Valdés Kan, Haidong Osorio, Samuel Roye, Dominic Orru, Hans Indermitte, Ene Schneider, Alexandra Katsouyanni, Klea Analitis, Antonis Carlsen, Hanne Krage Mayvaneh, Fatemeh Roradeh, Hematollah Raz, Raanan Michelozzi, Paola Hashizume, Masahiro Kim, Yoonhee Alahmad, Barrak Cauchy, John Paul Diaz, Magali Hurtado Arellano, Eunice Elizabeth Félix Valencia, César De la Cruz Overcenco, Ala Houthuijs, Danny Ameling, Caroline Rao, Shilpa Carrasco, Gabriel Seposo, Xerxes Chua, Paul Lester Carlos Silva, Susana das Neves Pereira da Nunes, Baltazar Holobaca, Iulian-Horia Cvijanovic, Ivana Mistry, Malcolm Scovronick, Noah Acquaotta, Fiorella Kim, Ho Lee, Whanhee Íñiguez, Carmen Åström, Christofer Ragettli, Martina S. Guo, Yue Leon Pan, Shih-Chun Colistro, Valentina Zanobetti, Antonella Schwartz, Joel Dang, Tran Ngoc Dung, Do Van Climate Air Quality Research Unit School of Public Health and Preventive Medicine Monash University Melbourne Australia Department of Epidemiology School of Public Health Cheeloo College of Medicine Shandong University Jinan China Center for Environmental and Respiratory Health Research University of Oulu Oulu Finland Medical Research Center Oulu Oulu University Hospital and University of Oulu Oulu Finland Department of Public Health University of Helsinki Helsinki Finland Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London United Kingdom Centre for Statistical Methodology London School of Hygiene & Tropical Medicine London United Kingdom Centre on Climate Change & Planetary Health London School of Hygiene & Tropical Medicine London United Kingdom School of Public Health and Social Work Queensland University of Technology Brisbane Australia School of Public Health and Institute of Environment and Human Health Anhui Medical University Hefei China Shanghai Children's Medical Centre Shanghai Jiao-Tong University Shanghai China Santé Publique France Department of Environmental and Occupational Health French National Public Health Agency Saint Maurice France Faculty of Environmental Sciences Czech University of Life Sciences Prague Czech Republic Institute of Atmospheric Physics Czech Academy of Sciences Prague Czech Republic Institute for the Environment Brunel University London London United Kingdom School of Epidemiology & Public Health Faculty of Medicine University of Ottawa Ottawa ON Canada Air Health Science Division Health Canada Ottawa ON Canada Department of Geography University of Santiago de Compostela Santiago de Compostela Spain EPIUnit—Instituto de Saude Publica Universidade do Porto Porto Portugal Technological University Dublin Dublin Ireland The Institute for Medical Information Processing Biometry and Epidemiology Ludwig-Maximilians University Munich Munich Germany Department

BACKGROUND: Exposure to cold spells is associated with mortality. However, little is known about the global mortality burden of cold spells. METHODS: A three-stage meta-analytical method was used to estimate the global mortality burden associated with cold spells by means of a time series dataset of 1960 locations across 59 countries (or regions). First, we fitted the location-specific, cold spell-related mortality associations using a quasi-Poisson regression with a distributed lag non-linear model with a lag period of up to 21 days. Second, we built a multivariate meta-regression model between location-specific associations and seven predictors. Finally, we predicted the global grid-specific cold spell-related mortality associations during 2000-19 using the fitted meta-regression model and the yearly grid-specific meta-predictors. We calculated the annual excess deaths, excess death ratio (excess deaths per 1000 deaths), and excess death rate (excess deaths per 100 000 population) due to cold spells for each grid across the world. FINDINGS: Globally, 205 932 (95% empirical CI [eCI] 162 692-250 337) excess deaths, representing 3·81 (95% eCI 2·93-4·71) excess deaths per 1000 deaths (excess death ratio), and 3·03 (2·33-3·75) excess deaths per 100 000 population (excess death rate) were associated with cold spells per year between 2000 and 2019. The annual average global excess death ratio in 2016-19 increased by 0·12 percentage points and the excess death rate in 2016-19 increased by 0·18 percentage points, compared with those in 2000-03. The mortality burden varied geographically. The excess death ratio and rate were highest in Europe, whereas these indicators were lowest in Africa. Temperate climates had higher excess death ratio and rate associated with cold spells than other climate zones. INTERPRETATION: Cold spells are associated with substantial mortality burden around the world with geographically varying patterns. Although the number of cold spells has on av

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Joint effect of heat and air pollution on mortality in 620 cities of 36 countries

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Environment International 2023年 181卷 108258页

作者： Stafoggia, Massimo Michelozzi, Paola Schneider, Alexandra Armstrong, Ben Scortichini, Matteo Rai, Masna Achilleos, Souzana Alahmad, Barrak Analitis, Antonis Åström, Christofer Bell, Michelle L. Calleja, Neville Krage Carlsen, Hanne Carrasco, Gabriel Paul Cauchi, John DSZS Coelho, Micheline Correa, Patricia M. Diaz, Magali H. Entezari, Alireza Forsberg, Bertil Garland, Rebecca M. Leon Guo, Yue Guo, Yuming Hashizume, Masahiro Holobaca, Iulian H. Íñiguez, Carmen Jaakkola, Jouni J.K. Kan, Haidong Katsouyanni, Klea Kim, Ho Kyselý, Jan Lavigne, Eric Lee, Whanhee Li, Shanshan Maasikmets, Marek Madureira, Joana Mayvaneh, Fatemeh Fook Sheng Ng, Chris Nunes, Baltazar Orru, Hans V Ortega, Nicolás Osorio, Samuel Palomares, Alfonso D.L. Pan, Shih-Chun Pascal, Mathilde Ragettli, Martina S Rao, Shilpa Raz, Raanan Roye, Dominic Ryti, Niilo HN Saldiva, Paulo Samoli, Evangelia Schwartz, Joel Scovronick, Noah Sera, Francesco Tobias, Aurelio Tong, Shilu DLC Valencia, César Maria Vicedo-Cabrera, Ana Urban, Aleš Gasparrini, Antonio Breitner, Susanne de' Donato, Francesca K. Department of Epidemiology Lazio Region Health Service / ASL Roma 1 Via C. Colombo 112 Rome00147 Italy Neuherberg Germany Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London United Kingdom Department of Primary Care and Population Health University of Nicosia Medical School Nicosia Cyprus Department of Environmental Health Harvard T.H. Chan School of Public Health BostonMA United States Department of Hygiene Epidemiology and Medical Statistics National and Kapodistrian University of Athens Greece Department of Public Health and Clinical Medicine Umeå University Sweden School of the Environment Yale University New HavenCT United States Directorate for Health Information and Research Malta School of Public Health and Community Medicine University of Gothenburg Gothenburg Sweden Institute of Tropical Medicine "Alexander von Humboldt" Universidad Peruana Cayetano Heredia Lima Peru Queen Mary University of London London United Kingdom Department of Pathology Faculty of Medicine University of São Paulo São Paulo Brazil Department of Public Health Universidad de los Andes Santiago Chile Department of Environmental Health National Institute of Public Health Morelos Cuernavaca Mexico Faculty of Geography and Environmental Sciences Hakim Sabzevari University Khorasan Razavi Sabzevar*** Iran Department of Geography Geoinformatics and Meteorology University of Pretoria Pretoria South Africa and NTU Hospital Taipei Taiwan Department of Epidemiology and Preventive Medicine School of Public Health and Preventive Medicine Monash University Melbourne Australia Department of Global Health Policy Graduate School of Medicine The University of Tokyo Tokyo Japan Faculty of Geography Babes-Bolay University Cluj-Napoca Romania Department of Statistics and Computational Research Universitat de València València Spain University of Oulu Oulu Finland Department of Environmental Health School of Public Health F

Background: The epidemiological evidence on the interaction between heat and ambient air pollution on mortality is still inconsistent. Objectives: To investigate the interaction between heat and ambient air pollution on daily mortality in a large dataset of 620 cities from 36 countries. Methods: We used daily data on all-cause mortality, air temperature, particulate matter ≤ 10 μm (PM10), PM ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) from 620 cities in 36 countries in the period 1995–2020. We restricted the analysis to the six consecutive warmest months in each city. City-specific data were analysed with over-dispersed Poisson regression models, followed by a multilevel random-effects meta-analysis. The joint association between air temperature and air pollutants was modelled with product terms between non-linear functions for air temperature and linear functions for air pollutants. Results: We analyzed 22,630,598 deaths. An increase in mean temperature from the 75th to the 99th percentile of city-specific distributions was associated with an average 8.9 % (95 % confidence interval: 7.1 %, 10.7 %) mortality increment, ranging between 5.3 % (3.8 %, 6.9 %) and 12.8 % (8.7 %, 17.0 %), when daily PM10 was equal to 10 or 90 μg/m3, respectively. Corresponding estimates when daily O3 concentrations were 40 or 160 μg/m3 were 2.9 % (1.1 %, 4.7 %) and 12.5 % (6.9 %, 18.5 %), respectively. Similarly, a 10 μg/m3 increment in PM10 was associated with a 0.54 % (0.10 %, 0.98 %) and 1.21 % (0.69 %, 1.72 %) increase in mortality when daily air temperature was set to the 1st and 99th city-specific percentiles, respectively. Corresponding mortality estimate for O3 across these temperature percentiles were 0.00 % (-0.44 %, 0.44 %) and 0.53 % (0.38 %, 0.68 %). Similar effect modification results, although slightly weaker, were found for PM2.5 and NO2. Conclusions: Suggestive evidence of effect modification between air temperature and air pollutants on mortality during the

关键词： Nitrogen oxides

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First deep images catalogue of extended IPHAS PNe

arXiv

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arXiv 2021年

作者： Sabin, L. Guerrero, M.A. Ramos-Larios, G. Boumis, P. Zijlstra, A.A. Awang Iskandar, D.N.F. Barlow, M.J. Toalá, Jesús A. Parker, Q.A. Corradi, R.M.L. Morris, R.A.H. Instituto de Astronomía Universidad Nacional Autónoma de México Apdo. Postal 106 B.C. Ensenada22800 Mexico Glorieta de la Astronomía S/N Granada18008 Spain Instituto de Astronomía y Meteorología CUCEI Universidad de Guadalajara Av. Vallarta 2602 Arcos Vallarta Guadalajara44130 Mexico Institute for Astronomy Astrophysics Space Applications and Remote Sensing National Observatory of Athens Athens Penteli15236 Greece Jodrell Bank Centre for Astrophysics The University of Manchester Oxford Road ManchesterM13 9PL United Kingdom Laboratory for Space Research University of Hong Kong Pokfulam Road Hong Kong Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Sarawak94300 Malaysia Dept. of Physics & Astronomy University College London Gower St LondonWC1E 6BT United Kingdom Instituto de Radioastronomía y Astrofísica UNAM Campus Morelia MoreliaC.P. 58089 Mexico Department of Physics The University of Hong Kong Chong Yuet Ming Physics Building Pokfulam Road Hong Kong GRANTECAN Cuesta de San José s/n La Palma Breña BajaE-38712 Spain Instituto de Astrofísica de Canarias Tenerife La LagunaE-38200 Spain School of Physics Bristol University Tyndall Avenue BristolBS8 1TL United Kingdom

We present the first instalment of a deep imaging catalogue containing 58 True, Likely and Possible extended PNe detected with the Isaac Newton Telescope Photometric Hα Survey (IPHAS). The three narrow-band filters in the emission lines of Hα, [N II] λ6584 Å and [O III] λ5007 Å used for this purpose allowed us to improve our description of the morphology and dimensions of the nebulae. In some cases even the nature of the source has been reassessed. We were then able to unveil new macro-and micro-structures, which will without a doubt contribute to a more accurate analysis of these PNe. It has been also possible to perform a primary classification of the targets based on their ionization level. A Deep Learning classification tool has also been tested. We expect that all the PNe from the IPHAS catalogue of new extended planetary nebulae will ultimately be part of this deep Hα, [N II] and [O III] imaging catalogue. Copyright © 2021, The Authors. All rights reserved.

关键词： Galaxies

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2022 Review of Data-Driven Plasma Science

arXiv

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arXiv 2022年

作者： Anirudh, Rushil Archibald, Rick Asif, M. Salman Becker, Markus M. Benkadda, Sadruddin Bremer, Peer-Timo Budé, Rick H.S. Chang, C.S. Chen, Lei Churchill, R.M. Citrin, Jonathan Gaffney, Jim A. Gainaru, Ana Gekelman, Walter Gibbs, Tom Hamaguchi, Satoshi Hill, Christian Humbird, Kelli Jalas, Sören Kawaguchi, Satoru Kim, Gon-Ho Kirchen, Manuel Klasky, Scott Kline, John L. Krushelnick, Karl Kustowski, Bogdan Lapenta, Giovanni Li, Wenting Ma, Tammy Mason, Nigel J. Mesbah, Ali Michoski, Craig Munson, Todd Murakami, Izumi Najm, Habib N. Erik J. Olofsson, K. Park, Seolhye Peterson, J. Luc Probst, Michael Pugmire, David Sammuli, Brian Sawlani, Kapil Scheinker, Alexander Schissel, David P. Shalloo, Rob J. Shinagawa, Jun Seong, Jaegu Spears, Brian K. Tennyson, Jonathan Thiagarajan, Jayaraman Ticoş, Catalin M. Trieschmann, Jan van Dijk, Jan Van Essen, Brian Ventzek, Peter Wang, Haimin Wang, Jason T.L. Wang, Zhehui Wende, Kristian Xu, Xueqiao Yamada, Hiroshi Yokoyama, Tatsuya Zhang, Xinhua Lawrence Livermore National Laboratory LivermoreCA94550 United States Oak Ridge National Laboratory Oak RidgeTN37830 United States University of California Riverside RiversideCA92521 United States Felix-Hausdorff-Str. 2 Greifswald17489 Germany Aix Marseille University CNRS PIIM UMR 7345 Marseille France Department of Applied Physics Eindhoven University of Technology Netherlands Princeton Plasma Physics Laboratory Princeton NJ08540 United States Institute of Ion Physics and Applied Physics University of Innsbruck Technikerstrasse 25 Innsbruck6020 Austria DIFFER - Dutch Institute for Fundamental Energy Research Eindhoven Netherlands Science and Technology of Nuclear Fusion Group Eindhoven University of Technology Eindhoven Netherlands Department of Physics and Astronomy University of California Los AngelesCA90095 United States NVIDIA 2788 San Tomas Expressway Santa ClaraCA95051 United States Center for Atomic and Molecular Technologies Graduate School of Engineering Osaka University 2-1 Yamadaoka Suita Osaka Japan Department of Nuclear Sciences and Applications International Atomic Energy Agency Wagramer Strasse 5 PO Box 100 Vienna1400 Austria Center for Free-Electron Laser Science Department of Physics Universität Hamburg Luruper Chaussee 149 Hamburg22761 Germany Division of Information and Electronic Engineering Graduate School of Engineering Muroran Institute of Technology Hokkaido Muroran050-8585 Japan Seoul National University Seoul151-741 Korea Republic of Deutsches Elektronen-Synchrotron DESY Notkestr. 85 Hamburg22607 Germany Los Alamos National Laboratory Los AlamosNM87545 United States Center for Ultrafast Optical Science University of Michigan Ann ArborMI48109-2099 United States Department of Mathematics KULeuven University of Leuven Belgium Department of Physical Sciences The University of Kent CanterburyCT2 7NH United Kingdom Department of Chemical and Biomolecular Engineering University of California Berk

Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS). A large amount of data and machine learning algorithms go hand in hand. Most plasma data, whether experimental, observational or computational, are generated or collected by machines today. It is now becoming impractical for humans to analyze all the data manually. Therefore, it is imperative to train machines to analyze and interpret (eventually) such data as intelligently as humans but far more efficiently in quantity. Despite the recent impressive progress in applications of data science to plasma science and technology, the emerging field of DDPS is still in its infancy. Fueled by some of the most challenging problems such as fusion energy, plasma-processing of materials, and fundamental understanding of the universe through observable plasma phenomena, it is expected that DDPS continues to benefit significantly from the interdisciplinary marriage between plasma science and data science into the foreseeable future. Copyright © 2022, The Authors. All rights reserved.

关键词： Machine learning

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Micro-blog opinion leader selection method using emotional contribution model

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Journal of computers (Taiwan) 2017年第3期28卷 159-173页

作者： Li, Ya-Xing Wang, Zhao-Kai Liu, Li-Jun Feng, Xu-Peng Liu, Li Huang, Qing-Song Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Educational Technology and Network Center Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Computer Technology Applications Kunming650500 China

To solve the false correlation caused by negative influence in selecting opinion leader, a micro-blog opinion leader selection method using emotional contribution model is proposed. When the retweeters and reviewers of the tracked object is made, there is not all positive content but kinds of contents of negative, thus they are divided into effective influence or ineffective, which means the all contents made by retweeters and reviewers are taken as an emotional contribution model. In the process of object tracking by using emotional contribution model, messages dissemination occurs mostly in the early, so the early spread the greater influence. As the result, when the tracked object has negative forwarding or reply, the proposed method can infer the polarity of emotion based on variant LSTM. Then, we get the effective influence ranking of opinion leader by each object's coverage rate. The experimental results show coverage rate of proposed model has improved 4.9% than the Page Rank algorithm.

关键词： Long short-term memory

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Erratum: Towards a muon collider

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The European Physical Journal C 2024年第1期84卷 1-4页

作者： Accettura, Carlotta Adams, Dean Agarwal, Rohit Ahdida, Claudia Aimè, Chiara Amapane, Nicola Amorim, David Andreetto, Paolo Anulli, Fabio Appleby, Robert Apresyan, Artur Apyan, Aram Arsenyev, Sergey Asadi, Pouya Mahmoud, Mohammed Attia Azatov, Aleksandr Back, John Balconi, Lorenzo Bandiera, Laura Barlow, Roger Bartosik, Nazar Barzi, Emanuela Batsch, Fabian Bauce, Matteo Berg, J. Scott Bersani, Andrea Bertarelli, Alessandro Bertolin, Alessandro Black, Kevin Boattini, Fulvio Bogacz, Alex Bonesini, Maurizio Bordini, Bernardo Bottaro, Salvatore Bottura, Luca Braghieri, Alessandro Breschi, Marco Bruhwiler, Natalie Buffat, Xavier Buonincontri, Laura Burrows, Philip N. Burt, Graeme Buttazzo, Dario Caiffi, Barbara Calviani, Marco Calzaferri, Simone Calzolari, Daniele Capdevilla, Rodolfo Carli, Christian Casaburo, Fausto Casarsa, Massimo Castelli, Luca Catanesi, Maria Gabriella Cavallucci, Lorenzo Cavoto, Gianluca Celiberto, Francesco Giovanni Celona, Luigi Cerri, Alessandro Cesarini, Gianmario Cesarotti, Cari Chachamis, Grigorios Chance, Antoine Chen, Siyu Chien, Yang-Ting Chiesa, Mauro Colaleo, Anna Collamati, Francesco Collazuol, Gianmaria Costa, Marco Craig, Nathaniel Curatolo, Camilla Curtin, David Da Molin, Giacomo Dam, Magnus Damerau, Heiko Dasu, Sridhara de Blas, Jorge De Curtis, Stefania De Matteis, Ernesto De Rosa, Stefania Delahaye, Jean-Pierre Denisov, Dmitri Denizli, Haluk Densham, Christopher Dermisek, Radovan Di Luzio, Luca Di Meco, Elisa Di Micco, Biagio Dienes, Keith Diociaiuti, Eleonora Dorigo, Tommaso Dudarev, Alexey Edgecock, Robert Errico, Filippo Fabbrichesi, Marco Farinon, Stefania Ferrari, Anna Somoza, Jose Antonio Ferreira Filthaut, Frank Fiorina, Davide Fol, Elena Forslund, Matthew Franceschini, Roberto Ximenes, Rui Franqueira Gabrielli, Emidio Gallinaro, Michele Garosi, Francesco Giambastiani, Luca Gianelle, Alessio Gilardoni, Simone Giove, Dario Augusto Giraldin, Carlo Glioti, Alfredo Greco, Mario Greljo, Admir Groeber, Ramona Grojean, Christophe Grudiev, Alexej Gu, Jiayin Han, Chengcheng Han, T Organisation Européenne pour la Recherche Nucléaire (CERN) Geneva Switzerland STFC Rutherford Appleton Laboratory (RAL) Oxford UK Computer Science Department University of California (UC) Berkeley USA Dipartimento di Fisica Università di Pavia Pavia Italy INFN Sezione di Pavia Pavia Italy INFN Sezione di Torino Turin Italy Dipartimento di Fisica Università di Torino Turin Italy INFN Sezione di Padova Padua Italy INFN Sezione di Roma Rome Italy School of Physics and Astronomy University of Manchester Manchester UK Fermi National Accelerator Laboratory Batavia USA Department of Physics Brandeis University Waltham USA IRFU CEA University Paris-Saclay Gif-sur-Yvette France Center for Theoretical Physics Massachusetts Institute of Technology Cambridge USA Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt SISSA International School for Advanced Studies Trieste Italy INFN Sezione di Trieste Trieste Italy Department of Physics University of Warwick Coventry UK Dipartimento di Fisica Università di Milano Milan Italy INFN Laboratori Acceleratori e Superconduttività Applicata (LASA) Milan Italy INFN Sezione di Ferrara Ferrara Italy School of Computing and Engineering The University of Huddersfield Huddersfield UK Ohio State University Columbus USA Brookhaven National Laboratory Upton USA INFN Sezione di Genova Genoa Italy University of Wisconsin Wisconsin USA Center for Advanced Studies of Accelerators Jefferson Lab Newport News USA INFN Sezione di Milano Bicocca Milan Italy Dipartimento di Fisica Università di Milano Bicocca Milan Italy Scuola Normale Superiore Pisa Italy INFN Sezione di Pisa Pisa Italy Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione Università di Bologna Bologna Italy INFN Sezione di Bologna Bologna Italy Department of Physics University of California (UC) Berkeley USA Dipartimento di Fisica e Astronomia Università di Padova Padoa Italy John Adams Institute University of O

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Observatory science with eXTP

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Science China(Physics,Mechanics & Astronomy) 2019年第2期62卷 97-138页

作者： Jean J.M.in 't Zand Enrico Bozzo JinLu Qu Xiang-Dong Li Lorenzo Amati Yang Chen Immacolata Donnarumma Victor Doroshenko Stephen A.Drake Margarita Hernanz Peter A.Jenke Thomas J.Maccarone Simin Mahmoodifar Domitilla de Martino Alessandra De Rosa Elena M.Rossi Antonia Rowlinson Gloria Sala Giulia Stratta Thomas M.Tauris Joern Wilms XueFeng Wu Ping Zhou Iván Agudo Diego Altamirano Jean-Luc Atteia Nils A.andersson M.Cristina Baglio David R.Ballantyne Altan Baykal Ehud Behar Tomaso Belloni Sudip Bhattacharyya Stefano Bianchi Anna Bilous Pere Blay Joao Braga Sφren Brandt Edward F.Brown Niccolo Bucciantini Luciano Burderi Edward M.Cackett Riccardo Campana Sergio Campana Piergiorgio Casella Yuri Cavecchi Frank Chambers Liang Chen Yu-Peng Chen Jér?me Chenevez Maria Chernyakova ChiChuan Jin Riccardo Ciolfi Elisa Costantini Andrew Cumming Antonino D'Aì Zi-Gao Dai Filippo D'Ammando Massimiliano De Pasquale Nathalie Degenaar Melania Del Santo Valerio D'Elia Tiziana Di Salvo Gerry Doyle Maurizio Falanga XiLong Fan Robert D.Ferdman Marco Feroci Federico Fraschetti Duncan K.Galloway Angelo F.Gambino Poshak Gandhi MingYu Ge Bruce Gendre Ramandeep Gill Diego G?tz Christian Gouiffès Paola Grandi Jonathan Granot Manuel Güdel Alexander Heger Craig O.Heinke Jeroen Homan Rosario Iaria Kazushi Iwasawa Luca Izzo Long Ji Peter G.Jonker Jordi José Jelle S.Kaastra Emrah Kalemci Oleg Kargaltsev Nobuyuki Kawai Laurens Keek Stefanie Komossa Ingo Kreykenbohm Lucien Kuiper Devaky Kunneriath Gang Li En-Wei Liang Manuel Linares Francesco Longo FangJun Lu Alexander A.Lutovinov Denys Malyshev Julien Malzac Antonios Manousakis Ian McHardy Missagh Mehdipour YunPeng Men Mariano Méndez Roberto P.Mignani Romana Mikusincova M.Coleman Miller Giovanni Miniutti Christian Motch Joonas Nättilä Emanuele Nardini Torsten Neubert Paul T.O'Brien Mauro Orlandini Julian P.Osborne Luigi Pacciani Stéphane Paltani Maurizio Paolillo Iossif E.Papadakis Biswajit Paul Alberto Pellizzoni Uria Peretz Miguel A.Pérez Torres Emanuele Perinati Chanda Prescod-Weinstein Pablo Reig SRON Netherlands Institute for Space Research Department of Astronomy University of Geneva Key Laboratory for Particle Astrophysics Institute of High Energy PhysicsChinese Academy of Sciences School of Astronomy and Space Science Nanjing University INAF-IASF Bologna ASI Via del Politecnico snc INAF-Istituto di Astrofisica e Planetologie Spaziali Institut für Astronomie und Astrophysik Tübingen Universit?t Tübingen NASA Goddard Space Flight Center ICREA&Institute of Space Sciences(IEEC-CSIC) Campus UABCarrer de Can Magrans CSPAR SPA University of Alabama in Huntsville Department of Physics Texas Tech University INAF Osservatorio Astronomico di Capodimonte Leiden Observatory Leiden University Anton Pannekoek Institute University of Amsterdam ASTRON Netherlands Institute for Radio Astronomy Universitat Politecnica de Catalunya(UPC-IEEC) Universitádegli Studi di Urbino‘Carlo Bo’ Max-Planck-Institut für Radioastronomie Dr.Karl-Remeis-Sternwarte and Erlangen Centre for Astroparticle Physics(ECAP) Friedrich Alexander Universit?t Erlangen-Nurnberg Purple Mountain Observatory Chinese Academy of Sciences Instituto de Astrofysíca de Andalucia-CSIC Department of Physics and Astronomy University of Southampton IRAP Universitéde ToulouseCNRSUPSCNES Mathematical Sciences and STAG Research Centre University of Southampton New York University Abu Dhabi Center for Relativistic Astrophysics School of PhysicsGeorgia Institute of Technology Physics Department Middle East Technical University Department of Physics Technion-Israel Institute of Technology INAF Osservatorio Astronomico di Brera Tata Institute of Fundamental Research Dipartimento di Matematica e Fisica Universitàdegli Studi Roma Tre Instituto de Astrofísica de Canarias Instituto Nacional de Pesquisas Espaciais-INPE National Space Institute Technical University of Denmark(DTU Space) Department of Physics and Astronomy Michigan State University INAF Osservatorio Astrofisico di Arcetri Dipartimento di Fisica Universitádegli Studi di Cagliari Department of Physics and A

In this White Paper we present the potential of the enhanced X-ray Timing and Polarimetry(eXTP) mission for studies related to Observatory Science targets. These include flaring stars, supernova remnants, accreting white dwarfs, low and high mass X-ray binaries, radio quiet and radio loud active galactic nuclei, tidal disruption events, and gamma-ray bursts. eXTP will be excellently suited to study one common aspect of these objects: their often transient nature. Developed by an international Consortium led by the Institute of High Energy Physics of the Chinese Academy of Science, the eXTP mission is expected to be launched in the mid 2020s.

关键词： space research in struments nuclear astrophysics flare stars accretion and accretion disks mass loss and stellar winds cataclysmic binaries X-ray binaries supernova remnants active galactic nuclei X-ray bursts gamma-ray bursts gravitational waves

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From protecting protocols to layers: designing, implementing and experimenting with security policies in RINA

From protecting protocols to layers: designing, implementing...

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Ad-Hoc and Sensor Networks Symposium

作者： Eduard Grasa Ondrej Rysavy Ondrej Lichtner Hamid Asgari John Day Lou Chitkushev Distributed Applications and Networks Area Fundacio i2CAT Faculty of Information Technology Brno University of Technology Thales Research and Technology Computer Science Department Metropolitan College Boston University

ISBN: (纸本)9781479966653

Current Internet security is complex, expensive and ineffective. The usual argument is that the TCP/IP protocol suite was not designed having security in mind and security mechanisms have been added as add-ons or separate protocols. We argue that fundamental limitations in the Internet architecture are a major factor contributing to the insecurity of the Net. In this paper we explore the security properties of the Recursive InterNetwork Architecture, analyzing the principles that make RINA networks inherently more secure than TCP/IP-based ones. We perform the specification, implementation and experimental evaluation of the first authentication and SDU protection policies for RINA networks. RINA's approach to securing layers instead of protocols increases the security of networks, while reducing the complexity and cost of providing security.

关键词： Security Policy Network security protocols Security Unsafe Signal distribution unit Mind Network

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SSC: Cloud-based data stream management in distributed environments

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International Journal of High Performance Computing and Networking 2016年第3期9卷 171-189页

作者： Ong, Kok-Leong Goscinski, Andrzej Han, Yuzhang Brezany, Peter Tari, Zahir Yan, Lei La Trobe Business School La Trobe University Australia School of Information Technology Deakin University Australia Department of Computer Science Duke University DurhamNC United States Research Group Scientific Computing Faculty of Computer Science University of Vienna Nordbergstrasse 15/C/315 Vienna Austria School of Computer Science RMIT University Australia Spatial Information Integration and Its Applications Laboratory Peking University Beijing China

Stream-oriented applications account for one of the major types of today's computing practices. They deal with high-speed data streams. When it comes to stream-oriented distributed systems, some challenges arise: for one thing, processing capability of a single compute node might become the bottleneck of the entire system. For another, transmitting streams among physically dispersed nodes could incur both communication overhead and instability of a distributed application. In this paper, we discuss the potential of using cloud technology to respond to various challenges faced by stream-oriented distributed systems. We introduce our idea of a special cloud, the scientific streaming cloud (SSC), which supports stream management in distributed environments. We also present our design of a language and an algorithm which are used on the SSC to describe and optimise stream-related tasks, respectively. Furthermore, we demonstrate our prototype implementation and a real-world application of the SSC. © 2016 Inderscience Enterprises Ltd.

关键词： Environmental management

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Multi-agent system in Ambient environment for assistance of elderly sick peoples 15

Multi-agent system in Ambient environment for assistance of ...

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International Conference on Intelligent information Processing, Security and Advanced Communication, IPAC 2015

作者： Aouatef, Chaib Iman, Boussebough Allaoua, Chaoui MISC Laboratory Department of Computer Science and Its Applications Faculty of NTIC University Constantine 2 Algeria LIRE Laboratory Department of Software Technology and Information Systems Faculty of NTIC University Constantine 2 Algeria

ISBN: (纸本)9781450334587

To improve the daily life of elderly sick people to be always assisted and to live independently. Ambient intelligence has a significant role to play with its principal characteristic of adaptation to the context-aware. The ambient intelligence constitutes an ambient environment able to adapt their behaviour with the change of context-aware. Multi Agent Systems with their characteristics of autonomy, pro activity, mobility and sociability seem to be promising for the development of an ambient and intelligent system. In this context, we propose an adaptive multi agent system to assist the elderly sick peoples in their proper home. The proposed system is implemented in JADE platform (Java Agent DEvelopment framework).

关键词： Multi agent systems

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