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Institution

Rio de Janeiro State University

EducationRio de Janeiro, Brazil
About: Rio de Janeiro State University is a education organization based out in Rio de Janeiro, Brazil. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 16631 authors who have published 30919 publications receiving 465753 citations. The organization is also known as: UERJ & Rio de Janeiro State University.


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Journal ArticleDOI
28 Sep 2011-PLOS ONE
TL;DR: A new assessment framework was developed that allowed to evaluate, compare and organize marine turtle RMUs according to status and threats criteria, and should serve as a model for conservation status assessments and priority-setting for widespread, long-lived taxa.
Abstract: Where conservation resources are limited and conservation targets are diverse, robust yet flexible priority-setting frameworks are vital. Priority-setting is especially important for geographically widespread species with distinct populations subject to multiple threats that operate on different spatial and temporal scales. Marine turtles are widely distributed and exhibit intra-specific variations in population sizes and trends, as well as reproduction and morphology. However, current global extinction risk assessment frameworks do not assess conservation status of spatially and biologically distinct marine turtle Regional Management Units (RMUs), and thus do not capture variations in population trends, impacts of threats, or necessary conservation actions across individual populations. To address this issue, we developed a new assessment framework that allowed us to evaluate, compare and organize marine turtle RMUs according to status and threats criteria. Because conservation priorities can vary widely (i.e. from avoiding imminent extinction to maintaining long-term monitoring efforts) we developed a ‘‘conservation priorities portfolio’’ system using categories of paired risk and threats scores for all RMUs (n = 58). We performed these assessments and rankings globally, by species, by ocean basin, and by recognized geopolitical bodies to identify patterns in risk, threats, and data gaps at different scales. This process resulted in characterization of risk and threats to all marine turtle RMUs, including identification of the world’s 11 most endangered marine turtle RMUs based on highest risk and threats scores. This system also highlighted important gaps in available information that is crucial for accurate conservation assessments. Overall, this priority-setting framework can provide guidance for research and conservation priorities at multiple relevant scales, and should serve as a model for conservation status assessments and prioritysetting for widespread, long-lived taxa.

493 citations

Journal ArticleDOI
TL;DR: In this paper, the diphoton decay mode of the recently discovered Higgs boson and measurement of some of its properties are reported using the entire dataset collected by the CMS experiment in proton-proton collisions during the 2011 and 2012 LHC running periods.
Abstract: Observation of the diphoton decay mode of the recently discovered Higgs boson and measurement of some of its properties are reported. The analysis uses the entire dataset collected by the CMS experiment in proton-proton collisions during the 2011 and 2012 LHC running periods. The data samples correspond to integrated luminosities of 5.1 inverse femtobarns at sqrt(s) = 7 TeV and 19.7 inverse femtobarns at 8 TeV. A clear signal is observed in the diphoton channel at a mass close to 125 GeV with a local significance of 5.7 sigma, where a significance of 5.2 sigma is expected for the standard model Higgs boson. The mass is measured to be 124.70 +/- 0.34 GeV = 124.70 +/- 0.31 (stat) +/- 0.15 (syst) GeV, and the best-fit signal strength relative to the standard model prediction is 1.14 +0.26/-0.23 = 1.14 +/- 0.21 (stat) +0.09/-0.05 (syst) +0.13/-0.09 (theo). Additional measurements include the signal strength modifiers associated with different production mechanisms, and hypothesis tests between spin-0 and spin-2 models.

486 citations

Journal ArticleDOI
TL;DR: An operational framework to assess cross cultural adaptation processes of instruments developed in other linguistic, social and cultural contexts is offered and the need for adequately controlling the quality of information presented in epidemiological studies is reinforced.
Abstract: The objective of the article was to offer an operational framework to assess cross cultural adaptation processes of instruments developed in other linguistic, social and cultural contexts. It covers the need for using robust measurement tools; the importance of 'universal' instruments that permit cross cultural fine-tuning; and stresses the need for adapting existent instruments rather than developing new ones. Existing controversies and proposals for different procedures in current literature are reviewed and a model for adapting instruments is presented. This synthesis covers the operational steps involved in evaluating concepts, semantic and operational items, and presents psychometric analysis guidelines that underlay an evaluation of measurement equivalence. Finally, the need for adequately controlling the quality of information presented in epidemiological studies, including a meticulous cross-cultural adaptation of research agendas, is reinforced.

482 citations

Journal ArticleDOI
Daniel E. Neafsey1, Robert M. Waterhouse, Mohammad Reza Abai2, Sergey Aganezov3, Max A. Alekseyev3, James E. Allen4, James Amon, Bruno Arcà5, Peter Arensburger6, Gleb N. Artemov7, Lauren A. Assour8, Hamidreza Basseri2, Aaron M. Berlin1, Bruce W. Birren1, Stéphanie Blandin9, Stéphanie Blandin10, Andrew I. Brockman11, Thomas R. Burkot12, Austin Burt11, Clara S. Chan13, Cedric Chauve14, Joanna C. Chiu15, Mikkel B. Christensen4, Carlo Costantini16, Victoria L.M. Davidson17, Elena Deligianni18, Tania Dottorini11, Vicky Dritsou19, Stacey Gabriel1, Wamdaogo M. Guelbeogo, Andrew Brantley Hall20, Mira V. Han21, Thaung Hlaing, Daniel S.T. Hughes22, Daniel S.T. Hughes4, Adam M. Jenkins23, Xiaofang Jiang20, Irwin Jungreis13, Evdoxia G. Kakani19, Evdoxia G. Kakani24, Maryam Kamali20, Petri Kemppainen25, Ryan C. Kennedy26, Ioannis K. Kirmitzoglou11, Ioannis K. Kirmitzoglou27, Lizette L. Koekemoer28, Njoroge Laban, Nicholas Langridge4, Mara K. N. Lawniczak11, Manolis Lirakis29, Neil F. Lobo8, Ernesto Lowy4, Robert M. MacCallum11, Chunhong Mao20, Gareth Maslen4, Charles Mbogo30, Jenny McCarthy6, Kristin Michel17, Sara N. Mitchell24, Wendy Moore31, Katherine A. Murphy15, Anastasia N. Naumenko20, Tony Nolan11, Eva Maria Novoa13, Samantha M. O’Loughlin11, Chioma Oringanje31, Mohammad Ali Oshaghi2, Nazzy Pakpour15, Philippos Aris Papathanos11, Philippos Aris Papathanos19, Ashley Peery20, Michael Povelones32, Anil Prakash33, David P. Price34, Ashok Rajaraman14, Lisa J. Reimer35, David C. Rinker36, Antonis Rokas37, Tanya L. Russell12, N’Fale Sagnon, Maria V. Sharakhova20, Terrance Shea1, Felipe A. Simão38, Felipe A. Simão39, Frédéric Simard16, Michel A. Slotman40, Pradya Somboon41, V. N. Stegniy7, Claudio J. Struchiner42, Claudio J. Struchiner43, Gregg W.C. Thomas44, Marta Tojo45, Pantelis Topalis18, Jose M. C. Tubio46, Maria F. Unger8, John Vontas29, Catherine Walton25, Craig S. Wilding47, Judith H. Willis48, Yi-Chieh Wu13, Yi-Chieh Wu49, Guiyun Yan50, Evgeny M. Zdobnov38, Evgeny M. Zdobnov39, Xiaofan Zhou37, Flaminia Catteruccia19, Flaminia Catteruccia24, George K. Christophides11, Frank H. Collins8, Robert S. Cornman48, Andrea Crisanti19, Andrea Crisanti11, Martin J. Donnelly46, Martin J. Donnelly35, Scott J. Emrich8, Michael C. Fontaine51, Michael C. Fontaine8, William M. Gelbart24, Matthew W. Hahn44, Immo A. Hansen34, Paul I. Howell52, Fotis C. Kafatos11, Manolis Kellis13, Daniel Lawson4, Christos Louis18, Shirley Luckhart15, Marc A. T. Muskavitch23, Marc A. T. Muskavitch53, José M. C. Ribeiro, Michael A. Riehle31, Igor V. Sharakhov20, Zhijian Tu20, Laurence J. Zwiebel37, Nora J. Besansky8 
Broad Institute1, Tehran University of Medical Sciences2, George Washington University3, European Bioinformatics Institute4, Sapienza University of Rome5, Temple University6, Tomsk State University7, University of Notre Dame8, Centre national de la recherche scientifique9, French Institute of Health and Medical Research10, Imperial College London11, James Cook University12, Massachusetts Institute of Technology13, Simon Fraser University14, University of California, Davis15, Institut de recherche pour le développement16, Kansas State University17, Foundation for Research & Technology – Hellas18, University of Perugia19, Virginia Tech20, University of Nevada, Las Vegas21, Baylor College of Medicine22, Boston College23, Harvard University24, University of Manchester25, University of California, San Francisco26, University of Cyprus27, National Health Laboratory Service28, University of Crete29, Kenya Medical Research Institute30, University of Arizona31, University of Pennsylvania32, Indian Council of Medical Research33, New Mexico State University34, Liverpool School of Tropical Medicine35, Vanderbilt University Medical Center36, Vanderbilt University37, Swiss Institute of Bioinformatics38, University of Geneva39, Texas A&M University40, Chiang Mai University41, Oswaldo Cruz Foundation42, Rio de Janeiro State University43, Indiana University44, University of Santiago de Compostela45, Wellcome Trust Sanger Institute46, Liverpool John Moores University47, University of Georgia48, Harvey Mudd College49, University of California, Irvine50, University of Groningen51, Centers for Disease Control and Prevention52, Biogen Idec53
02 Jan 2015-Science
TL;DR: The authors investigated the genomic basis of vectorial capacity and explore new avenues for vector control, sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila.
Abstract: Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts

476 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam2  +2802 moreInstitutions (215)
04 Jun 2015-Nature
TL;DR: In this paper, the branching fractions of the B meson (B-s(0)) and the B-0 meson decaying into two oppositely charged muons (mu(+) and mu(-)) were observed.
Abstract: The standard model of particle physics describes the fundamental particles and their interactions via the strong, electromagnetic and weak forces. It provides precise predictions for measurable quantities that can be tested experimentally. The probabilities, or branching fractions, of the strange B meson (B-s(0)) and the B-0 meson decaying into two oppositely charged muons (mu(+) and mu(-)) are especially interesting because of their sensitivity to theories that extend the standard model. The standard model predicts that the B-s(0)->mu(+)mu(-) and B-0 ->mu(+)mu(-) decays are very rare, with about four of the former occurring for every billion B-s(0) mesons produced, and one of the latter occurring for every ten billion B-0 mesons(1). A difference in the observed branching fractions with respect to the predictions of the standard model would provide a direction in which the standard model should be extended. Before the Large Hadron Collider (LHC) at CERN2 started operating, no evidence for either decay mode had been found. Upper limits on the branching fractions were an order of magnitude above the standard model predictions. The CMS (Compact Muon Solenoid) and LHCb(Large Hadron Collider beauty) collaborations have performed a joint analysis of the data from proton-proton collisions that they collected in 2011 at a centre-of-mass energy of seven teraelectronvolts and in 2012 at eight teraelectronvolts. Here we report the first observation of the B-s(0)->mu(+)mu(-) decay, with a statistical significance exceeding six standard deviations, and the best measurement so far of its branching fraction. Furthermore, we obtained evidence for the B-0 ->mu(+)mu(-) decay with a statistical significance of three standard deviations. Both measurements are statistically compatible with standard model predictions and allow stringent constraints to be placed on theories beyond the standard model. The LHC experiments will resume taking data in 2015, recording proton-proton collisions at a centre-of-mass energy of 13 teraelectronvolts, which will approximately double the production rates of B-s(0) and B-0 mesons and lead to further improvements in the precision of these crucial tests of the standard model.

467 citations


Authors

Showing all 16818 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
Maria Elena Pol139141499240
Wagner Carvalho135139594184
Alberto Santoro1351576100629
Andre Sznajder134146498242
Luiz Mundim133141389792
Helio Nogima132127484368
D. De Jesus Damiao128116282707
Magdalena Malek12859867486
Sudha Ahuja127101675739
Helena Malbouisson125115182692
Jose Chinellato123111664267
Flavia De Almeida Dias12059059083
Gilvan Alves11982969382
C. De Oliveira Martins11988066744
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202362
2022281
20212,251
20202,453
20192,072