Rio de Janeiro State University

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.

Fast nonlinear gravity inversion in spherical coordinates with application to the South American Moho

Abstract: Estimating the relief of the Moho from gravity data is a computationally intensive non-linear inverse problem. What is more, the modeling must take the Earths curvature into account when the study area is of regional scale or greater. We present a regularized non-linear gravity inversion method that has a low computational footprint and employs a spherical Earth approximation. To achieve this, we combine the highly efficient Botts method with smoothness regularization and a discretization of the anomalous Moho into tesseroids (spherical prisms). The computational efficiency of our method is attained by harnessing the fact that all matrices involved are sparse. The inversion results are controlled by three hyper-parameters: the regularization parameter, the anomalous Moho density-contrast, and the reference Moho depth. We estimate the regularization parameter using the method of hold-out cross-validation. Additionally, we estimate the density-contrast and the reference depth using knowledge of the Moho depth at certain points. We apply the proposed method to estimate the Moho depth for the South American continent using satellite gravity data and seismological data. The final Moho model is in accordance with previous gravity-derived models and seismological data. The misfit to the gravity and seismological data is worse in the Andes and best in oceanic areas, central Brazil and Patagonia, and along the Atlantic coast. Similarly to previous results, the model suggests a thinner crust of 30-35 km under the Andean foreland basins. Discrepancies with the seismological data are greatest in the Guyana Shield, the central Solimoes and Amazonas Basins, the Parana Basin, and the Borborema province. These differences suggest the existence of crustal or mantle density anomalies that were unaccounted for during gravity data processing.

Measurement of the Υ(1S), Υ(2S), and Υ(3S) Polarizations in pp Collisions at s√=7 TeV

Abstract: The polarizations of the Υ(1S), Υ(2S), and Υ(3S) mesons are measured in proton-proton collisions at √s=7 TeV, using a data sample of Υ(nS)→μ^+μ^- decays collected by the CMS experiment, corresponding to an integrated luminosity of 4.9 fb^(-1). The dimuon decay angular distributions are analyzed in three different polarization frames. The polarization parameters λ_ϑ, λ_φ, and λ_(ϑφ), as well as the frame-invariant quantity λ˜, are presented as a function of the Υ(nS) transverse momentum between 10 and 50 GeV, in the rapidity ranges |y|<0.6 and 0.6<|y|<1.2. No evidence of large transverse or longitudinal polarizations is seen in the explored kinematic region.

Qualidade da atenção ao parto em maternidades do Rio de Janeiro

Abstract: OBJETIVO: Avaliar a qualidade da atencao durante o processo de trabalho de parto de acordo com normas da Organizacao Mundial de Saude. METODOS: Trata-se de estudo do tipo caso-controle, realizado em duas maternidades: publica e conveniada com o Sistema Unico de Saude, no Municipio do Rio de Janeiro. A amostra foi composta por 461 mulheres na maternidade publica (230 partos vaginais e 231 cesareas) e por 448 mulheres na maternidade conveniada (224 partos vaginais e 224 cesareas). De outubro de 1998 a marco de 1999, foram realizadas entrevistas com puerperas e revisao de prontuarios. Foi construido escore sumarizador da qualidade do atendimento. RESULTADOS: Observou-se baixa frequencia de algumas praticas que devem ser encorajadas, como presenca de acompanhante (1% na maternidade conveniada, em ambos os tipos de parto), deambulacao durante o trabalho de parto (9,6% das cesareas na maternidade publica e 9,9% dos partos vaginais na conveniada) e aleitamento na sala de parto (6,9% das cesareas na maternidade publica e 8,0% das cesareas na conveniada). Praticas comprovadamente danosas e que devem ser eliminadas como uso de enema (38,4%), tricotomia, hidratacao venosa de rotina (88,8%), uso rotineiro de ocitocina (64,4%), restricao ao leito durante o trabalho de parto (90,1%) e posicao de litotomia (98,7%) para parto vaginal apresentaram alta frequencia. Os melhores resultados do escore sumarizador foram obtidos na maternidade publica. CONCLUSOES: As duas maternidades apresentam frequencia elevada de intervencoes durante a assistencia ao parto. A maternidade publica, apesar de atender clientela com maior risco gestacional, apresenta perfil menos intervencionista que maternidade conveniada. Procedimentos realizados de maneira rotineira merecem ser discutidos a luz de evidencias de seus beneficios.

Inverted hierarchical neuro-fuzzy BSP system: a novel neuro-fuzzy model for pattern classification and rule extraction in databases

Abstract: This paper introduces the Inverted Hierarchical Neuro-Fuzzy BSP System (HNFB/sup -1/), a new neuro-fuzzy model that has been specifically created for record classification and rule extraction in databases. The HNFB/sup -1/ is based on the Hierarchical Neuro-Fuzzy Binary Space Partitioning Model (HNFB), which embodies a recursive partitioning of the input space, is able to automatically generate its own structure, and allows a greater number of inputs. The new HNFB/sup -1/ allows the extraction of knowledge in the form of interpretable fuzzy rules expressed by the following: If x is A and y is B, then input pattern belongs to class Z. For the process of rule extraction in the HNFB/sup -1/ model, two fuzzy evaluation measures were defined: 1) fuzzy accuracy and 2) fuzzy coverage. The HNFB/sup -1/ has been evaluated with different benchmark databases for the classification task: Iris Dataset, Wine Data, Pima Indians Diabetes Database, Bupa Liver Disorders, and Heart Disease. When compared with several other pattern classification models and algorithms, the HNFB/sup -1/ model has shown similar or better classification performance. Nevertheless, its performance in terms of processing time is remarkable. The HNFB/sup -1/ converged in less than one minute for all the databases described in the case study.