Universidade Federal de Minas Gerais

About: Universidade Federal de Minas Gerais is a education organization based out in Belo Horizonte, Minas Gerais, Brazil. It is known for research contribution in the topics: Population & Context (language use). The organization has 41631 authors who have published 75688 publications receiving 1249905 citations.

Administração pública brasileira entreo gerencialismo e a gestão social

Abstract: O objetivo deste artigo e analisar, em uma perspectiva comparada, a administracao publica gerencial e a administracao publica societal, propondo uma agenda de pesquisa para futuras investigacoes. Examinamos os antecedentes e as caracteristicas desses modelos de gestao publica. Em seguida, comparamos os modelos a partir de seis variaveis de observacao: a origem, o projeto politico, as dimensoes estruturais enfatizadas na gestao, a organizacao administrativa do aparelho do Estado, a abertura das instituicoes a participacao social e a abordagem de gestao. Por fim, enfatizamos os limites e os pontos positivos de cada um dos modelos, alem de enfatizarmos a necessidade de aprofundamento dos estudos sobre a administracao publica societal e a abordagem de gestao social.

The Trypanosoma cruzi-host-cell interplay: location, invasion, retention.

Abstract: Chagas disease is a debilitating human illness caused by infection with the protozoan Trypanosoma cruzi. A capacity to invade and replicate within many different cell types is a cornerstone of the remarkable fitness of this parasite. Although invasion occurs independently of actin polymerization, the host cell still participates in the process, often in unexpected ways. Recent surprising findings indicate that host-cell lysosomes are indispensable, either by directly mediating invasion or by retaining these highly motile parasites inside cells.

Impedance coupling in content-targeted advertising

Abstract: The current boom of the Web is associated with the revenues originated from on-line advertising. While search-based advertising is dominant, the association of ads with a Web page (during user navigation) is becoming increasingly important. In this work, we study the problem of associating ads with a Web page, referred to as content-targeted advertising, from a computer science perspective. We assume that we have access to the text of the Web page, the keywords declared by an advertiser, and a text associated with the advertiser's business. Using no other information and operating in fully automatic fashion, we propose ten strategies for solving the problem and evaluate their effectiveness. Our methods indicate that a matching strategy that takes into account the semantics of the problem (referred to as AAK for "ads and keywords") can yield gains in average precision figures of 60% compared to a trivial vector-based strategy. Further, a more sophisticated impedance coupling strategy, which expands the text of the Web page to reduce vocabulary impedance with regard to an advertisement, can yield extra gains in average precision of 50%. These are first results. They suggest that great accuracy in content-targeted advertising can be attained with appropriate algorithms.

The McKenzie method for low back pain: a systematic review of the literature with a meta-analysis approach.

Abstract: Study design and objectives Meta-analysis of randomized controlled trials to evaluate the effectiveness of the McKenzie method for low back pain (LBP). Summary of background data The McKenzie method is a popular classification-based treatment for LBP. The faulty equation of McKenzie to extension exercises (generic McKenzie) is common in randomized trials. Methods MEDLINE, EMBASE, PEDro, and LILACS were searched up to August 2003. Two independent reviewers extracted the data and assessed methodologic quality. Pooled effects were calculated among homogeneous trials using the random effects model. A sensitivity analysis excluded trials reporting on generic McKenzie. Results Eleven trials of mostly high quality were included. McKenzie reduced pain (weighted mean difference [WMD] on a 0- to 100-point scale, -4.16 points; 95% confidence interval, -7.12 to -1.20) and disability (WMD on a 0- to 100-point scale, -5.22 points; 95% confidence interval, -8.28 to -2.16) at 1 week follow-up when compared with passive therapy for acute LBP. When McKenzie was compared with advice to stay active, a reduction in disability favored advice (WMD on a 0- to 100-point scale, 3.85 points; 95% confidence interval, 0.30 to 7.39) at 12 weeks of follow-up. Heterogeneity prevented pooling of studies on chronic LBP as well as pooling of studies included in the sensitivity analysis. Conclusions There is some evidence that the McKenzie method is more effective than passive therapy for acute LBP; however, the magnitude of the difference suggests the absence of clinically worthwhile effects. There is limited evidence for the use of McKenzie method in chronic LBP. The effectiveness of classification-based McKenzie is yet to be established.

Treatment of neuromyelitis optica: Review and recommendations

Abstract: Neuromyelitis optica (NMO) is an autoimmune demyelinating disease preferentially targeting the optic nerves and spinal cord. Once regarded as a variant of multiple sclerosis (MS), NMO is now recognized to be a different disease with unique pathology and immunopathogenesis that does not respond to traditional MS immunomodulators such as interferons. Preventive therapy in NMO has focused on a range of immunosuppressive medications, none of which have been validated in a rigorous randomized trial. However, multiple retrospective and a few recent prospective studies have provided evidence for the use of six medications for the prevention of NMO exacerbations: azathioprine, rituximab, mycophenolate mofetil, prednisone, methotrexate and mitoxantrone. This review provides a comprehensive analysis of each of these medications in NMO and concludes with a set of recommended consensus practices.