O outro lado da guerra colonial. Perspetiva salutogénica de inclusão

O projeto de investigação-intervenção aqui apresentado, denominado O outro lado da guerra colonial. Memórias na primeira pessoa, fundamenta-se nas conceções da Educação e Aprendizagem ao Longo da Vida, sendo direcionado para a área da Educação para a Saúde. Remete-nos para uma perspetiva salutogénica de saúde, de acordo com A. Antonovsky. Ao nível metodológico incorre no Paradigma da Complexidade. Utilizam-se métodos diversificados consoante os casos concretos, nomeadamente o método narrativo. Neste estudo, destacam-se as narrativas como forma de ação/intervenção junto de 11 participantes, veteranos da guerra colonial portuguesa. As narrativas foram determinantes, constituindo o modo de construção, de atribuição de significado e partilha de memórias pessoais subjetivas, que revelam perspetivas diversificadas e modos únicos de interpretar e compreender um evento histórico importante. A partir dos dados recolhidos foram-se descobrindo os Recursos Gerais de Resistência e foi-se conhecendo/reconhecendo o Sentido Interno de Coerência de cada participante, construindo-se planos de ação pessoais. Os participantes compreenderam o papel que desempenham na promoção da sua própria saúde e a importância que esta compreensão representa nas suas vidas. Neste sentido, este projeto de investigação/intervenção permitiu-nos analisar, comprender e valorizar as experiências de vida de caráter transformador que culminaram em momentos de grande aprendizagem pessoal; forneceu-nos elementos importantes para o estudo qualitativo dos veteranos de guerra, revelando dados significativos acerca das vivências da guerra colonial e acerca do modo como essas vivências influenciaram a vida dos participantes até aos días de hoje. A utilização de métodos exclusivamente qualitativos tornou-se essencial neste projeto de investigação/intervenção. Através da subjetividade discursiva tivemos acesso a mundos de significado próprios que proporcionaram um ambiente investigativo de proximidade e intimidade. Conclui-se que este estudo foi revelador porque permitiu a recolha de dados que contribuíram para a valorização das memórias pessoais mas também para a construção de futuros planos de ação e de investigação.

O outro lado da guerra colonial. Perspetiva salutogénica de inclusão

O projeto de investigação-intervenção aqui apresentado, denominado O outro lado da guerra colonial. Memórias na primeira pessoa, fundamenta-se nas conceções da Educação e Aprendizagem ao Longo da Vida, sendo direcionado para a área da Educação para a Saúde. Remete-nos para uma perspetiva salutogénica de saúde, de acordo com A. Antonovsky. Ao nível metodológico incorre no Paradigma da Complexidade. Utilizam-se métodos diversificados consoante os casos concretos, nomeadamente o método narrativo. Neste estudo, destacam-se as narrativas como forma de ação/intervenção junto de 11 participantes, veteranos da guerra colonial portuguesa. As narrativas foram determinantes, constituindo o modo de construção, de atribuição de significado e partilha de memórias pessoais subjetivas, que revelam perspetivas diversificadas e modos únicos de interpretar e compreender um evento histórico importante. A partir dos dados recolhidos foram-se descobrindo os Recursos Gerais de Resistência e foi-se conhecendo/reconhecendo o Sentido Interno de Coerência de cada participante, construindo-se planos de ação pessoais. Os participantes compreenderam o papel que desempenham na promoção da sua própria saúde e a importância que esta compreensão representa nas suas vidas. Neste sentido, este projeto de investigação/intervenção permitiu-nos analisar, comprender e valorizar as experiências de vida de caráter transformador que culminaram em momentos de grande aprendizagem pessoal; forneceu-nos elementos importantes para o estudo qualitativo dos veteranos de guerra, revelando dados significativos acerca das vivências da guerra colonial e acerca do modo como essas vivências influenciaram a vida dos participantes até aos días de hoje. A utilização de métodos exclusivamente qualitativos tornou-se essencial neste projeto de investigação/intervenção. Através da subjetividade discursiva tivemos acesso a mundos de significado próprios que proporcionaram um ambiente investigativo de proximidade e intimidade. Conclui-se que este estudo foi revelador porque permitiu a recolha de dados que contribuíram para a valorização das memórias pessoais mas também para a construção de futuros planos de ação e de investigação.

Comparing different methods to measure biofilm thickness: the techniques are: optical coherence tomography, confocal laser scanning microscopy and low load compression test

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)

Finite integration methods for isospectral flows

In this paper we consider the approximate computation of isospectral flows based on finite integration methods( FIM) with radial basis functions( RBF) interpolation,a new algorithm is developed. Our method ensures the symmetry of the solutions. Numerical experiments demonstrate that the solutions have higher accuracy by our algorithm than by the second order Runge- Kutta( RK2) method.

Development of computational and experimental methods for biomass composition and evaluation of its impact in genome-scale models prediction

The use of genome-scale metabolic models has been rapidly increasing in fields such as metabolic engineering. An important part of a metabolic model is the biomass equation since this reaction will ultimately determine the predictive capacity of the model in terms of essentiality and flux distributions. Thus, in order to obtain a reliable metabolic model the biomass precursors and their coefficients must be as precise as possible. Ideally, determination of the biomass composition would be performed experimentally, but when no experimental data are available this is established by approximation to closely related organisms. Computational methods however, can extract some information from the genome such as amino acid and nucleotide compositions. The main objectives of this study were to compare the biomass composition of several organisms and to evaluate how biomass precursor coefficients affected the predictability of several genome-scale metabolic models by comparing predictions with experimental data in literature. For that, the biomass macromolecular composition was experimentally determined and the amino acid composition was both experimentally and computationally estimated for several organisms. Sensitivity analysis studies were also performed with the Escherichia coli iAF1260 metabolic model concerning specific growth rates and flux distributions. The results obtained suggest that the macromolecular composition is conserved among related organisms. Contrasting, experimental data for amino acid composition seem to have no similarities for related organisms. It was also observed that the impact of macromolecular composition on specific growth rates and flux distributions is larger than the impact of amino acid composition, even when data from closely related organisms are used.

Methods to solve the equations of motion

"Series title: Springerbriefs in applied sciences and technology, ISSN 2191-530X"

Integration methods in dynamic analysis

"Series title: Springerbriefs in applied sciences and technology, ISSN 2191-530X"

A critical evaluation of methods for the reconstruction of tissue-specific models

Under the framework of constraint based modeling, genome-scale metabolic models (GSMMs) have been used for several tasks, such as metabolic engineering and phenotype prediction. More recently, their application in health related research has spanned drug discovery, biomarker identification and host-pathogen interactions, targeting diseases such as cancer, Alzheimer, obesity or diabetes. In the last years, the development of novel techniques for genome sequencing and other high-throughput methods, together with advances in Bioinformatics, allowed the reconstruction of GSMMs for human cells. Considering the diversity of cell types and tissues present in the human body, it is imperative to develop tissue-specific metabolic models. Methods to automatically generate these models, based on generic human metabolic models and a plethora of omics data, have been proposed. However, their results have not yet been adequately and critically evaluated and compared. This work presents a survey of the most important tissue or cell type specific metabolic model reconstruction methods, which use literature, transcriptomics, proteomics and metabolomics data, together with a global template model. As a case study, we analyzed the consistency between several omics data sources and reconstructed distinct metabolic models of hepatocytes using different methods and data sources as inputs. The results show that omics data sources have a poor overlapping and, in some cases, are even contradictory. Additionally, the hepatocyte metabolic models generated are in many cases not able to perform metabolic functions known to be present in the liver tissue. We conclude that reliable methods for a priori omics data integration are required to support the reconstruction of complex models of human cells.

Automated network resilience optimization using computational intelligence methods

This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational intelligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two illustrative Traffic Engineering methods are described, allowing to attain routing configurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.

Numerical methods in multibody system dynamics

"Series: Solid mechanics and its applications, vol. 226"

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.