Hierarchical modelling of timber reference properties using probabilistic methods: Maximum Likelihood Method, Bayesian Methods and Probability Networks

In recent decades, an increased interest has been evidenced in the research on multi-scale hierarchical modelling in the field of mechanics, and also in the field of wood products and timber engineering. One of the main motivations for hierar-chical modelling is to understand how properties, composition and structure at lower scale levels may influence and be used to predict the material properties on a macroscopic and structural engineering scale. This chapter presents the applicability of statistic and probabilistic methods, such as the Maximum Likelihood method and Bayesian methods, in the representation of timber’s mechanical properties and its inference accounting to prior information obtained in different importance scales. These methods allow to analyse distinct timber’s reference properties, such as density, bending stiffness and strength, and hierarchically consider information obtained through different non, semi or destructive tests. The basis and fundaments of the methods are described and also recommendations and limitations are discussed. The methods may be used in several contexts, however require an expert’s knowledge to assess the correct statistic fitting and define the correlation arrangement between properties.

Factores de risco de abuso no relacionamento íntimo: Estudo de validação da versão portuguesa do questionário “Personal and Relationships Profile”

O presente artigo trata do estudo das características psicométricas da versão portuguesa do questionário “Personal and Relationships Profile" (PRP, Straus, Hamby, Boney-McCoy, & Sugarman, 1999). Este instrumento destina-se a avaliar os principais factores relacionados com a ocorrência de abuso no relacionamento com o companheiro; integra 21 sub-escalas substantivas e uma sub-escala de desejabilidade social. Foram participantes 551 estudantes universitários (60.3% do sexo feminino), na sua maioria com idades compreendidas entre os 19 e os 25 anos e com uma relação do tipo namoro. O questionário apresenta elevada consistência interna (α=.90), e as sub-escalas têm valores de alpha de Cronbach compreendidos entre .50 e .84. Confirma-se também a validade externa dado que um elevado número de sub-escalas do PRP, se encontra significativamente correlacionado com a escala de abuso físico sem sequelas (CT52). Os resultados obtidos confirmam a validade da versão portuguesa do questionário PRP, possibilitando a investigadores e práticos no âmbito das relações maritais um instrumento de screening para sinalização, aprofundamento e orientação das linhas de acção específicas no tratamento e/ou investigação dos principais factores associados à violência conjugal.

Experimental validation of a proposed single-phase five-level active rectifier operating with model predictive current control

This paper presents a model predictive current control applied to a proposed single-phase five-level active rectifier (FLAR). This current control strategy uses the discrete-time nature of the active rectifier to define its state in each sampling interval. Although the switching frequency is not constant, this current control strategy allows to follow the reference with low total harmonic distortion (THDF). The implementation of the active rectifier that was used to obtain the experimental results is described in detail along the paper, presenting the circuit topology, the principle of operation, the power theory, and the current control strategy. The experimental results confirm the robustness and good performance (with low current THDF and controlled output voltage) of the proposed single-phase FLAR operating with model predictive current control.

New integrative computational approaches unveil the Saccharomyces cerevisiae pheno-metabolomic fermentative profile and allow strain selection for winemaking

During must fermentation by Saccharomyces cerevisiae strains thousands of volatile aroma compounds are formed. The objective of the present work was to adapt computational approaches to analyze pheno-metabolomic diversity of a S. cerevisiae strain collection with different origins. Phenotypic and genetic characterization together with individual must fermentations were performed, and metabolites relevant to aromatic profiles were determined. Experimental results were projected onto a common coordinates system, revealing 17 statistical-relevant multi-dimensional modules, combining sets of most-correlated features of noteworthy biological importance. The present method allowed, as a breakthrough, to combine genetic, phenotypic and metabolomic data, which has not been possible so far due to difficulties in comparing different types of data. Therefore, the proposed computational approach revealed as successful to shed light into the holistic characterization of S. cerevisiae pheno-metabolome in must fermentative conditions. This will allow the identification of combined relevant features with application in selection of good winemaking strains.