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.

Magnetocaloric effect around a magnetic phase transition

Abstract: In this work we discuss the thermodynamics of the magnetocaloric effect around the first- and second-order magnetic phase transitions. We show that, around the second-order phase transition, the magnetocaloric potential $\ensuremath{\Delta}S$ can indeed be determined by using magnetization data through the Maxwell relation. However, around the first-order phase transition, the Maxwell relation is not valid so that the determination of $\ensuremath{\Delta}S$ by using magnetization data is somewhat more complex and should be done very carefully. These statements were verified in a simple model of interacting spins with two energy levels including an extra term to account for the first-order phase transition.

Search for high mass dijet resonances with a new background prediction method in proton-proton collisions at √s = 13 TeV

Abstract: A search for narrow and broad resonances with masses greater than 1.8 TeV decaying to a pair of jets is presented. The search uses proton-proton collision data at $ \sqrt{s} $ = 13 TeV collected at the LHC, corresponding to an integrated luminosity of 137 fb$^{−1}$. The background arising from standard model processes is predicted with the fit method used in previous publications and with a new method. The dijet invariant mass spectrum is well described by both data-driven methods, and no significant evidence for the production of new particles is observed. Model independent upper limits are reported on the production cross sections of narrow resonances, and broad resonances with widths up to 55% of the resonance mass. Limits are presented on the masses of narrow resonances from various models: string resonances, scalar diquarks, axigluons, colorons, excited quarks, color-octet scalars, W′ and Z′ bosons, Randall-Sundrum gravitons, and dark matter mediators. The limits on narrow resonances are improved by 200 to 800 GeV relative to those reported in previous CMS dijet resonance searches. The limits on dark matter mediators are presented as a function of the resonance mass and width, and on the associated coupling strength as a function of the mediator mass. These limits exclude at 95% confidence level a dark matter mediator with a mass of 1.8 TeV and width 1% of its mass or higher, up to one with a mass of 4.8 TeV and a width 45% of its mass or higher.[graphic not available: see fulltext]

Judicialização, ativismo judicial e legitimidade democrática

Abstract: There has been progressive growth in the powers of the constitutional jurisdiction in many countries. Brazil and its Federal Supreme Court has been no exception. However, we can analyse certain signs of particular relevance in this phenomenon: the judicialisation of life, judicial activism and its incidence on democracy.

Prognostic factors for death from visceral leishmaniasis in Teresina, Brazil.

Abstract: Background: A possible strategy to reduce fatality rates of visceral leishmaniasis is to identify prognostic factors that can be easily assessed and used as an aid to clinical decision-making. Patients and Methods: A case-control study was developed in Teresina, Brazil, in which cases were patients who died during treatment (n = 12) and controls (n = 78) comprised a random sample of patients who were alive when treatment was finished. Results: Variables significantly associated with death were severe anemia, fever for more than 60 days, diarrhea and jaundice. The prognostic system had a sensitivity of 85.7% and a specificity of 92.5%. Conclusion: The prognostic model developed in this study had satisfactory performance and might be useful in developing countries, since it is simple and inexpensive. However, it is still preliminary and needs to be improved and validated using larger and more recent samples.

Measures and models for causal inference in cross-sectional studies: arguments for the appropriateness of the prevalence odds ratio and related logistic regression

Abstract: Several papers have discussed which effect measures are appropriate to capture the contrast between exposure groups in cross-sectional studies, and which related multivariate models are suitable. Although some have favored the Prevalence Ratio over the Prevalence Odds Ratio -- thus suggesting the use of log-binomial or robust Poisson instead of the logistic regression models -- this debate is still far from settled and requires close scrutiny. In order to evaluate how accurately true causal parameters such as Incidence Density Ratio (IDR) or the Cumulative Incidence Ratio (CIR) are effectively estimated, this paper presents a series of scenarios in which a researcher happens to find a preset ratio of prevalences in a given cross-sectional study. Results show that, provided essential and non-waivable conditions for causal inference are met, the CIR is most often inestimable whether through the Prevalence Ratio or the Prevalence Odds Ratio, and that the latter is the measure that consistently yields an appropriate measure of the Incidence Density Ratio. Multivariate regression models should be avoided when assumptions for causal inference from cross-sectional data do not hold. Nevertheless, if these assumptions are met, it is the logistic regression model that is best suited for this task as it provides a suitable estimate of the Incidence Density Ratio.