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.

Outcome predictors of 84 patients with hematologic malignancies and Fusarium infection.

Abstract: BACKGROUND Invasive infection by Fusarium sp. is associated with high mortality in patients with hematologic cancer. Yet to the authors' knowledge, little is known regarding predictors of adverse outcome. METHODS The authors conducted a retrospective review of the records of patients with hematologic carcinoma and invasive fusariosis who were treated at one institution in the U.S. and at 11 centers in Brazil. RESULTS The records of 84 patients were evaluated. Neutropenia was present in 83% and 33 patients had undergone stem cell transplantation. Only 18 patients (21%) were alive 90 days after the diagnosis of fusariosis. Multivariate predictors of poor outcome were persistent neutropenia (hazard ratio [HR] of 5.43; 95% confidence interval [95% CI], 2.64–11.11) and use of corticosteroids (HR of 2.18; 95% CI, 1.98–3.96). The actuarial survival rate of patients without any of these factors was 67% compared with 30% for patients who recovered from neutropenia but were receiving corticosteroids and 4% for patients with persistent neutropenia only. None of the patients with both risk factors survived (P < 0.0001). CONCLUSIONS Measures to reduce the duration of neutropenia, as well as the judicious use of corticosteroids, may reduce the high mortality rate of fusariosis in patients with hematologic cancer. Cancer 2003;98:315–9. © 2003 American Cancer Society. DOI 10.1002/cncr.11510

A reforma do sistema de saúde no Brasil e o Programa de Saúde da Família

Abstract: O texto examina as etapas de formulacao e implementacao do Programa de Saude da Familia, indicando as estrategias esbocadas e analisando os resultados, com vistas a extrair licoes para o aperfeicoamento da politica de saude no Brasil Foram identificados tres modelos de implantacao do programa: Modelo Regional, Modelo Singular e Modelo Principiante O primeiro se caracteriza pelo desenvolvimento regional do programa, sendo fortemente influenciado por uma politica estadual de apoio a mudanca nas praticas assistenciais; o segundo desenvolve uma experiencia singular, sem envolvimento de outras esferas de governo; e o terceiro se desenvolve de forma incipiente e incerta

Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements

Abstract: New sets of CMS underlying-event parameters (“tunes”) are presented for the pythia8 event generator. These tunes use the NNPDF3.1 parton distribution functions (PDFs) at leading (LO), next-to-leading (NLO), or next-to-next-to-leading (NNLO) orders in perturbative quantum chromodynamics, and the strong coupling evolution at LO or NLO. Measurements of charged-particle multiplicity and transverse momentum densities at various hadron collision energies are fit simultaneously to determine the parameters of the tunes. Comparisons of the predictions of the new tunes are provided for observables sensitive to the event shapes at LEP, global underlying event, soft multiparton interactions, and double-parton scattering contributions. In addition, comparisons are made for observables measured in various specific processes, such as multijet, Drell–Yan, and top quark-antiquark pair production including jet substructure observables. The simulation of the underlying event provided by the new tunes is interfaced to a higher-order matrix-element calculation. For the first time, predictions from pythia8 obtained with tunes based on NLO or NNLO PDFs are shown to reliably describe minimum-bias and underlying-event data with a similar level of agreement to predictions from tunes using LO PDF sets.