Institution
Rio de Janeiro State University
Education•Rio 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.
Papers published on a yearly basis
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Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam2 +2292 more•Institutions (180)
TL;DR: In this paper, a search for the pair production of new light bosons, each decaying into a pair of muons, is performed with the CMS experiment at the LHC, using a dataset corresponding to an integrated luminosity of 20.7 inverse femtobarns collected in proton-proton collisions at center-of-mass energy of sqrt(s) = 8 TeV.
90 citations
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TL;DR: It is concluded that subjects with MS already have nutritive skin MD even within the normoglycemic milieu, and microcirculatory dysfunction was associated with body mass index.
Abstract: The role of microcirculatory dysfunction (MD) in metabolic and cardiovascular diseases is not well established. Considering that metabolic syndrome (MS) is an independent risk factor and diabetic patients have microangiopathy, our aim was to investigate if normoglycemic subjects with MS already have detectable skin MD. Thirty-six subjects with MS (National Cholesterol Education Program-Adult Treatment Panel III criteria) (10 men/26 women, 38.8 +/- 7.9 years, 35.8 +/- 4.9 kg/m(2)) with normal glucose tolerance (American Diabetes Association criteria) and 16 controls (11 men/5 women, 33.6 +/- 8.4 years, 23.9 +/- 3.6 kg/m(2)) were studied using nailfold videocapillaroscopy. Afferent, efferent, and apical capillary diameters; functional capillary density; red blood cell velocity (RBCV) at baseline; and RBCV(max) and time (TRBCV(max)) to reach it during postocclusive reactive hyperemia after 1-minute arterial occlusion were measured. Subjects with MS had smaller afferent, efferent, and apical diameters (4.2 [3.8-4.2] vs 5.6 [4.65-6.25] mum, P < .001; 4.8 [4.2-4.8] vs 6.2 [5.6-7] mum, P < .001; and 5.2 [4.8-5.55] vs 7.4 [6.2-8] mum, P < .001); lower functional capillary density (7.28 [6.37-9.10] vs 10.4 [9.1-11.8] capillaries per square millimeter, P < .001), RBCV (0.62 [0.57-0.65] vs 0.79 [0.76-0.89] mm/s, P < .001], and RBCV(max) (1.14 [1.12-1.210] vs 1.57 [1.45-1.62] mm/s, P < .001); and longer TRBCV(max) (10.0 [10-11] vs 4.5 [4-6] seconds, P < .001) compared with controls. Microcirculatory dysfunction was associated with body mass index. We concluded that subjects with MS already have nutritive skin MD even within the normoglycemic milieu.
90 citations
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University of Otago1, Radboud University Nijmegen2, University of Auckland3, University of Pennsylvania4, Chiang Mai University5, Hospital General de México6, Mater Misericordiae University Hospital7, University of Paris8, Rio de Janeiro State University9, China Medical University (Taiwan)10, Copenhagen University Hospital11, University of Genoa12, Boston University13
TL;DR: To determine which clinical, laboratory, and imaging features most accurately distinguished gout from non‐gout, researchers used a database of more than 1,000 patients to assess their gout symptoms over a 12-month period.
Abstract: Objective
To determine which clinical, laboratory, and imaging features most accurately distinguished gout from non-gout.
Methods
We performed a cross-sectional study of consecutive rheumatology clinic patients with ≥1 swollen joint or subcutaneous tophus. Gout was defined by synovial fluid or tophus aspirate microscopy by certified examiners in all patients. The sample was randomly divided into a model development (two-thirds) and test sample (one-third). Univariate and multivariate association between clinical features and monosodium urate–defined gout was determined using logistic regression modeling. Shrinkage of regression weights was performed to prevent overfitting of the final model. Latent class analysis was conducted to identify patterns of joint involvement.
Results
In total, 983 patients were included. Gout was present in 509 (52%). In the development sample (n = 653), the following features were selected for the final model: joint erythema (multivariate odds ratio [OR] 2.13), difficulty walking (multivariate OR 7.34), time to maximal pain 6 mg/dl (0.36 mmoles/liter; multivariate OR 3.35), ultrasound double contour sign (multivariate OR 7.23), and radiograph erosion or cyst (multivariate OR 2.49). The final model performed adequately in the test set, with no evidence of misfit, high discrimination, and predictive ability. MTP1 joint involvement was the most common joint pattern (39.4%) in gout cases.
Conclusion
Ten key discriminating features have been identified for further evaluation for new gout classification criteria. Ultrasound findings and degree of uricemia add discriminating value, and will significantly contribute to more accurate classification criteria.
90 citations
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TL;DR: This study aims to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about the phytochemical properties of fruit juice and its preparation for human consumption.
Abstract: Laboratório de Pesquisa em Infecção Hospitalar (LAPIH), Instituto Oswaldo Cruz-FIOCRUZ, Rio de Janeiro, RJ, Brazil; Departamento de Bioquı́mica, Instituto de Biologia Roberto Alcântara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil; Fundação Estadual de Produção e Pesquisa em Saúde (FEPPS IPB-LACEN-RS), Porto Alegre, RS, Brazil; Hospital Nossa Senhora da Conceição, Porto Alegre, RS, Brazil
90 citations
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TL;DR: In this paper, a hybrid evolutionary fuzzy model with parameter optimization is proposed for short-term forecasting over microgrid and large-grids, being able to accurately predict data in short computational time.
89 citations
Authors
Showing all 16818 results
Name | H-index | Papers | Citations |
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Hyun-Chul Kim | 176 | 4076 | 183227 |
Maria Elena Pol | 139 | 1414 | 99240 |
Wagner Carvalho | 135 | 1395 | 94184 |
Alberto Santoro | 135 | 1576 | 100629 |
Andre Sznajder | 134 | 1464 | 98242 |
Luiz Mundim | 133 | 1413 | 89792 |
Helio Nogima | 132 | 1274 | 84368 |
D. De Jesus Damiao | 128 | 1162 | 82707 |
Magdalena Malek | 128 | 598 | 67486 |
Sudha Ahuja | 127 | 1016 | 75739 |
Helena Malbouisson | 125 | 1151 | 82692 |
Jose Chinellato | 123 | 1116 | 64267 |
Flavia De Almeida Dias | 120 | 590 | 59083 |
Gilvan Alves | 119 | 829 | 69382 |
C. De Oliveira Martins | 119 | 880 | 66744 |