221 research outputs found
Epistasis not needed to explain low dN/dS
An important question in molecular evolution is whether an amino acid that
occurs at a given position makes an independent contribution to fitness, or
whether its effect depends on the state of other loci in the organism's genome,
a phenomenon known as epistasis. In a recent letter to Nature, Breen et al.
(2012) argued that epistasis must be "pervasive throughout protein evolution"
because the observed ratio between the per-site rates of non-synonymous and
synonymous substitutions (dN/dS) is much lower than would be expected in the
absence of epistasis. However, when calculating the expected dN/dS ratio in the
absence of epistasis, Breen et al. assumed that all amino acids observed in a
protein alignment at any particular position have equal fitness. Here, we relax
this unrealistic assumption and show that any dN/dS value can in principle be
achieved at a site, without epistasis. Furthermore, for all nuclear and
chloroplast genes in the Breen et al. dataset, we show that the observed dN/dS
values and the observed patterns of amino acid diversity at each site are
jointly consistent with a non-epistatic model of protein evolution.Comment: This manuscript is in response to "Epistasis as the primary factor in
molecular evolution" by Breen et al. Nature 490, 535-538 (2012
Cryptic t(19;19)(p13.3;q13.2), involving the TCF3/E2A gene, detected and described by molecular cytogenetics in a patient with childhood B-cell progenitor acute lymphoblastic leukemia
Case report on a case of cryptic t(19;19)(p13.3;q13.2), involving the TCF3/E2A gene, detected and described by molecular cytogenetics in a patient with childhood B-cell progenitor acute lymphoblastic leukemia
Patient Experience and Virtual Reality: The Use of an MRI Exam Simulator
Magnetic resonance (MR) imaging is a safe diagnostic method of high accuracy detection and characterization of various pathological conditions. However, due to the very closed aspect of the apparatus, the high sound amplitude emitted and the need to remain motionless for a significant time, some patients experience discomfort and high levels of anxiety, compromising time and image quality management that can impair the clinical outcome of the patient or even give up the performance of this procedure. Therefore, this study aimed to validate, with patients, the use of Virtual Reality (VR) as a humanized practice of exposure to magnetic resonance imaging, to reduce the discomfort often present in the procedure. For this purpose, we used a cross-sectional method of quantitative-qualitative approach, incorporating purposeful sampling and semi-structured interviews of evaluative nature with 303 patients from two health institutions located in the state of Alagoas, Brazil, in which patients immersed in VR before the examination. As a result, exposure to VR led 98.9% of patients to feel more prepared and confident to perform the examination. There was no significant correlation between age, previous contact with technology and gender with the effectiveness of the intervention. However, there was a significant correlation between the form of approach, the quality of information and the level of feeling of relaxation of the patient. Thus, these results highlight the positive impact of VR on the patient\u27s experience in performing the MRI examination and the variety of audiences that can enjoy the benefits that this technology provides
Graduação em Saúde Coletiva: limites e possibilidades como estratégia de formação profissional
Application of neural networks to predict volume in eucalyptus
The aim of this study was to evaluate the methodology of Artificial Neural Networks (ANN) in order to predict wood
volume in eucalyptus and its impacts on the selection of superior families, and to compare artificial neural network with regression
models. Data used were obtained in a random block design with 140 half-sib families with five replications at three years of age, and four replications at six years of age, both with five plants per plot. The volume was estimated using ANN and regression models. It was used 2000 and 1500 data to train ANN, and 1500 and 1300 to validate ANN for 3 and 6 years of age, respectively. It is concluded that ANN can help improving the accuracy to measure the volume in eucalyptus trees, and to automate the process of forestry inventory and were more accurate in predicting wood volume than almost all regression models
Alimentação e Nutrição em Saúde Coletiva: constituição, contornos e estatuto científico
Consultório na Rua em uma capital do Nordeste brasileiro: o olhar de pessoas em situação de vulnerabilidade social
Resumo: O objetivo deste estudo foi avaliar a estratégia do Consultório na Rua em Maceió, Alagoas, Brasil, com base na perspectiva de seus usuários. Pesquisa de abordagem qualitativa, cujo cenário foram os campos de atuação da estratégia Consultório na Rua em Maceió, Alagoas. Os sujeitos da pesquisa foram 18 pessoas em situação de rua atendidas pela estratégia, sendo dez homens e oito mulheres, com idades entre 20 e 40 anos. A coleta de dados se deu entre setembro de 2014 e fevereiro de 2015, sendo empregada a técnica de entrevista semiestruturada. Os dados foram analisados por meio da técnica de análise de conteúdo e apontaram duas categorias: a primeira, Consultório na Rua como ele é, revelou os nós críticos, desafios e potencialidades dessa estratégia; a segunda, Consultório na Rua: suporte social, afeto e perspectiva de mudança, para quem se encontra em situação de rua. Os resultados demonstraram que a estratégia é avaliada positivamente e que se constitui como suporte social não apenas em questões relativas à saúde-doença, mas também em aspectos da vida cotidiana
A pesquisa sobre Alimentação no Brasil: sustentando a autonomia do campo Alimentação e Nutrição
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