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Institution

Rovira i Virgili University

EducationTarragona, Spain
About: Rovira i Virgili University is a(n) education organization based out in Tarragona, Spain. It is known for research contribution in the topic(s): Population & Laser. The organization has 4247 authors who have published 9141 publication(s) receiving 236256 citation(s).
Topics: Population, Laser, Catalysis, Slope efficiency, Cave
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Journal ArticleDOI
Abstract: The Twentieth Century Reanalysis (20CR) project is an international effort to produce a comprehensive global atmospheric circulation dataset spanning the twentieth century, assimilating only surface pressure reports and using observed monthly sea-surface temperature and sea-ice distributions as boundary conditions. It is chiefly motivated by a need to provide an observational dataset with quantified uncertainties for validations of climate model simulations of the twentieth century on all time-scales, with emphasis on the statistics of daily weather. It uses an Ensemble Kalman Filter data assimilation method with background ‘first guess’ fields supplied by an ensemble of forecasts from a global numerical weather prediction model. This directly yields a global analysis every 6 hours as the most likely state of the atmosphere, and also an uncertainty estimate of that analysis. The 20CR dataset provides the first estimates of global tropospheric variability, and of the dataset's time-varying quality, from 1871 to the present at 6-hourly temporal and 2° spatial resolutions. Intercomparisons with independent radiosonde data indicate that the reanalyses are generally of high quality. The quality in the extratropical Northern Hemisphere throughout the century is similar to that of current three-day operational NWP forecasts. Intercomparisons over the second half-century of these surface-based reanalyses with other reanalyses that also make use of upper-air and satellite data are equally encouraging. It is anticipated that the 20CR dataset will be a valuable resource to the climate research community for both model validations and diagnostic studies. Some surprising results are already evident. For instance, the long-term trends of indices representing the North Atlantic Oscillation, the tropical Pacific Walker Circulation, and the Pacific–North American pattern are weak or non-existent over the full period of record. The long-term trends of zonally averaged precipitation minus evaporation also differ in character from those in climate model simulations of the twentieth century. Copyright © 2011 Royal Meteorological Society and Crown Copyright.

2,783 citations


Journal ArticleDOI
TL;DR: The advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology are reported and the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections are overviewed.
Abstract: Synchronization processes in populations of locally interacting elements are in the focus of intense research in physical, biological, chemical, technological and social systems. The many efforts devoted to understand synchronization phenomena in natural systems take now advantage of the recent theory of complex networks. In this review, we report the advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology. We also overview the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections. Extensive numerical work as well as analytical approaches to the problem are presented. Finally, we review several applications of synchronization in complex networks to different disciplines: biological systems and neuroscience, engineering and computer science, and economy and social sciences.

2,552 citations


Journal ArticleDOI
TL;DR: It is found that the most accurate methods tend to be more computationally expensive, and that both aspects need to be considered when choosing a method for practical purposes.
Abstract: We compare recent approaches to community structure identification in terms of sensitivity and computational cost. The recently proposed modularity measure is revisited and the performance of the methods as applied to ad hoc networks with known community structure, is compared. We find that the most accurate methods tend to be more computationally expensive, and that both aspects need to be considered when choosing a method for practical purposes. The work is intended as an introduction as well as a proposal for a standard benchmark test of community detection methods.

2,378 citations


Journal ArticleDOI
02 Dec 2009-JAMA
TL;DR: In this large cohort, infection was independently associated with an increased risk of hospital death and risk of infection increases with duration of ICU stay.
Abstract: Context Infection is a major cause of morbidity and mortality in intensive care units (ICUs) worldwide. However, relatively little information is available about the global epidemiology of such infections. Objective To provide an up-to-date, international picture of the extent and patterns of infection in ICUs. Design, Setting, and Patients The Extended Prevalence of Infection in Intensive Care (EPIC II) study, a 1-day, prospective, point prevalence study with follow-up conducted on May 8, 2007. Demographic, physiological, bacteriological, therapeutic, and outcome data were collected for 14 414 patients in 1265 participating ICUs from 75 countries on the study day. Analyses focused on the data from the 13 796 adult (>18 years) patients. Results On the day of the study, 7087 of 13 796 patients (51%) were considered infected; 9084 (71%) were receiving antibiotics. The infection was of respiratory origin in 4503 (64%), and microbiological culture results were positive in 4947 (70%) of the infected patients; 62% of the positive isolates were gram-negative organisms, 47% were gram-positive, and 19% were fungi. Patients who had longer ICU stays prior to the study day had higher rates of infection, especially infections due to resistant staphylococci, Acinetobacter, Pseudomonas species, and Candida species. The ICU mortality rate of infected patients was more than twice that of noninfected patients (25% [1688/6659] vs 11% [ 682/6352], respectively; P Conclusions Infections are common in patients in contemporary ICUs, and risk of infection increases with duration of ICU stay. In this large cohort, infection was independently associated with an increased risk of hospital death.

2,349 citations


Journal ArticleDOI
Peter Goldstraw1, Kari Chansky, John Crowley, Ramón Rami-Porta2, Hisao Asamura3, Wilfried Ernst Erich Eberhardt4, Andrew G. Nicholson1, Patti A. Groome5, Alan Mitchell, Vanessa Bolejack, David Ball6, David G. Beer7, Ricardo Beyruti8, Frank C. Detterbeck9, Wilfried Eberhardt4, John G. Edwards10, Françoise Galateau-Salle11, Dorothy Giroux12, Fergus V. Gleeson13, James Huang14, Catherine Kennedy15, Jhingook Kim16, Young Tae Kim17, Laura Kingsbury12, Haruhiko Kondo18, Mark Krasnik19, Kaoru Kubota20, Antoon Lerut21, Gustavo Lyons, Mirella Marino, Edith M. Marom22, Jan P. van Meerbeeck23, Takashi Nakano24, Anna K. Nowak25, Michael D Peake26, Thomas W. Rice27, Kenneth E. Rosenzweig28, Enrico Ruffini29, Valerie W. Rusch14, Nagahiro Saijo, Paul Van Schil23, Jean-Paul Sculier30, Lynn Shemanski12, Kelly G. Stratton12, Kenji Suzuki31, Yuji Tachimori32, Charles F. Thomas33, William D. Travis14, Ming-Sound Tsao34, Andrew T. Turrisi35, Johan Vansteenkiste21, Hirokazu Watanabe, Yi-Long Wu, Paul Baas36, Jeremy J. Erasmus22, Seiki Hasegawa24, Kouki Inai37, Kemp H. Kernstine38, Hedy L. Kindler39, Lee M. Krug14, Kristiaan Nackaerts21, Harvey I. Pass40, David C. Rice22, Conrad Falkson5, Pier Luigi Filosso29, Giuseppe Giaccone41, Kazuya Kondo42, Marco Lucchi43, Meinoshin Okumura44, Eugene H. Blackstone27, F. Abad Cavaco, E. Ansótegui Barrera, J. Abal Arca, I. Parente Lamelas, A. Arnau Obrer45, R. Guijarro Jorge45, D. Ball6, G.K. Bascom46, A. I. Blanco Orozco, M. A. González Castro, M.G. Blum, D. Chimondeguy, V. Cvijanovic47, S. Defranchi48, B. de Olaiz Navarro, I. Escobar Campuzano2, I. Macía Vidueira2, E. Fernández Araujo49, F. Andreo García49, Kwun M. Fong, G. Francisco Corral, S. Cerezo González, J. Freixinet Gilart, L. García Arangüena, S. García Barajas50, P. Girard, Tuncay Göksel, M. T. González Budiño51, G. González Casaurrán50, J. A. Gullón Blanco, J. Hernández Hernández, H. Hernández Rodríguez, J. Herrero Collantes, M. Iglesias Heras, J. M. Izquierdo Elena, Erik Jakobsen, S. Kostas52, P. León Atance, A. Núñez Ares, M. Liao, M. Losanovscky, G. Lyons, R. Magaroles53, L. De Esteban Júlvez53, M. Mariñán Gorospe, Brian C. McCaughan15, Catherine J. Kennedy15, R. Melchor Íñiguez54, L. Miravet Sorribes, S. Naranjo Gozalo, C. Álvarez de Arriba, M. Núñez Delgado, J. Padilla Alarcón, J. C. Peñalver Cuesta, Jongsun Park16, H. Pass40, M. J. Pavón Fernández, Mara Rosenberg, Enrico Ruffini29, V. Rusch14, J. Sánchez de Cos Escuín, A. Saura Vinuesa, M. Serra Mitjans, Trond Eirik Strand, Dragan Subotic, S.G. Swisher22, Ricardo Mingarini Terra8, Charles R. Thomas33, Kurt G. Tournoy55, P. Van Schil23, M. Velasquez, Y.L. Wu, K. Yokoi 
Imperial College London1, University of Barcelona2, Keio University3, University of Duisburg-Essen4, Queen's University5, Peter MacCallum Cancer Centre6, University of Michigan7, University of São Paulo8, Yale University9, Northern General Hospital10, University of Caen Lower Normandy11, Fred Hutchinson Cancer Research Center12, University of Oxford13, Memorial Sloan Kettering Cancer Center14, University of Sydney15, Sungkyunkwan University16, Seoul National University17, Kyorin University18, University of Copenhagen19, Nippon Medical School20, Katholieke Universiteit Leuven21, University of Texas MD Anderson Cancer Center22, University of Antwerp23, Hyogo College of Medicine24, University of Western Australia25, Glenfield Hospital26, Cleveland Clinic27, Icahn School of Medicine at Mount Sinai28, University of Turin29, Université libre de Bruxelles30, Juntendo University31, National Cancer Research Institute32, Mayo Clinic33, University of Toronto34, Sinai Grace Hospital35, Netherlands Cancer Institute36, Hiroshima University37, City of Hope National Medical Center38, University of Chicago39, New York University40, Georgetown University41, University of Tokushima42, University of Pisa43, Osaka University44, University of Valencia45, Good Samaritan Hospital46, Military Medical Academy47, Fundación Favaloro48, Autonomous University of Barcelona49, Complutense University of Madrid50, University of Oviedo51, National and Kapodistrian University of Athens52, Rovira i Virgili University53, Autonomous University of Madrid54, Ghent University55
TL;DR: The methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition of the TNM Classification for lung cancer due to be published late 2016 are described.
Abstract: The IASLC Staging and Prognostic Factors Committee has collected a new database of 94,708 cases donated from 35 sources in 16 countries around the globe. This has now been analysed by our statistical partners at Cancer Research And Biostatistics and, in close collaboration with the members of the committee proposals have been developed for the T, N, and M categories of the 8th edition of the TNM Classification for lung cancer due to be published late 2016. In this publication we describe the methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition.

1,835 citations


Authors

Showing all 4247 results

NameH-indexPapersCitations
Steven P. Nolan11074447671
Jordi Rello10369435994
Jordi Salas-Salvadó9062433980
Vikas Kumar8985939185
José L. Domingo8371527914
Josep Guarro7868724875
Lei Zhang78148530058
Josep Font7835524356
Richard G. Wunderink7236826892
Andrés Rodríguez-Pose6829616331
Alex Arenas6732528262
Rosa Maria Marcé6625012665
Antonio M. Echavarren6537020141
Gheorghe Paun6539918513
Ramon A. Alvarez-Puebla6319913457
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202212
2021589
2020643
2019577
2018572
2017615