Tensile properties of polymer repair materials - effect of test parameters

In this research, five types of polymer repair materials were selected for investigation of the influence of sample shape, deformation rate and test temperature on the mechanical properties determined with an uniaxial tensile test. The results showed the clear effect of measurement conditions on tensile strength, elongation and modulus of elasticity. The highest tensile strength and modulus of elasticity were exhibited by epoxy resin for the filling of concrete cracks, which achieved 1% elongation. The lowest coefficient of dispersion characterized the results of tensile test carried out using dumbbell samples at a deformation rate of 50 mm/min. The effect of temperature varied with the material type.

Contribution of the evaluation strategy and the use of hearing protection for the uncertainty associated with occupational exposure to noise

Doctoral Thesis for PhD degree in Industrial and Systems Engineering

Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data

Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins added of salivary enzymes, beeswax, and pollen. The biological activities described for propolis were also identified for donor plants resin, but a big challenge for the standardization of the chemical composition and biological effects of propolis remains on a better understanding of the influence of seasonality on the chemical constituents of that raw material. Since propolis quality depends, among other variables, on the local flora which is strongly influenced by (a)biotic factors over the seasons, to unravel the harvest season effect on the propolis chemical profile is an issue of recognized importance. For that, fast, cheap, and robust analytical techniques seem to be the best choice for large scale quality control processes in the most demanding markets, e.g., human health applications. For that, UV-Visible (UV-Vis) scanning spectrophotometry of hydroalcoholic extracts (HE) of seventy-three propolis samples, collected over the seasons in 2014 (summer, spring, autumn, and winter) and 2015 (summer and autumn) in Southern Brazil was adopted. Further machine learning and chemometrics techniques were applied to the UV-Vis dataset aiming to gain insights as to the seasonality effect on the claimed chemical heterogeneity of propolis samples determined by changes in the flora of the geographic region under study. Descriptive and classification models were built following a chemometric approach, i.e. principal component analysis (PCA) and hierarchical clustering analysis (HCA) supported by scripts written in the R language. The UV-Vis profiles associated with chemometric analysis allowed identifying a typical pattern in propolis samples collected in the summer. Importantly, the discrimination based on PCA could be improved by using the dataset of the fingerprint region of phenolic compounds ( = 280-400m), suggesting that besides the biological activities of those secondary metabolites, they also play a relevant role for the discrimination and classification of that complex matrix through bioinformatics tools. Finally, a series of machine learning approaches, e.g., partial least square-discriminant analysis (PLS-DA), k-Nearest Neighbors (kNN), and Decision Trees showed to be complementary to PCA and HCA, allowing to obtain relevant information as to the sample discrimination.

Spatial-temporal modellization of the NO2 concentration data through geostatistical tools

The nitrogen dioxide is a primary pollutant, regarded for the estimation of the air quality index, whose excessive presence may cause significant environmental and health problems. In the current work, we suggest characterizing the evolution of NO2 levels, by using geostatisti- cal approaches that deal with both the space and time coordinates. To develop our proposal, a first exploratory analysis was carried out on daily values of the target variable, daily measured in Portugal from 2004 to 2012, which led to identify three influential covariates (type of site, environment and month of measurement). In a second step, appropriate geostatistical tools were applied to model the trend and the space-time variability, thus enabling us to use the kriging techniques for prediction, without requiring data from a dense monitoring network. This method- ology has valuable applications, as it can provide accurate assessment of the nitrogen dioxide concentrations at sites where either data have been lost or there is no monitoring station nearby.

Aplicação de ferramentas Lean e gestão da manutenção numa metalomecânica

Dissertação de mestrado em Engenharia e Gestão da Qualidade

Tapping the wealth of microbial data in high-throughput metabolic model reconstruction

Genome-scale metabolic models are valuable tools in the metabolic engineering process, based on the ability of these models to integrate diverse sources of data to produce global predictions of organism behavior. At the most basic level, these models require only a genome sequence to construct, and once built, they may be used to predict essential genes, culture conditions, pathway utilization, and the modifications required to enhance a desired organism behavior. In this chapter, we address two key challenges associated with the reconstruction of metabolic models: (a) leveraging existing knowledge of microbiology, biochemistry, and available omics data to produce the best possible model; and (b) applying available tools and data to automate the reconstruction process. We consider these challenges as we progress through the model reconstruction process, beginning with genome assembly, and culminating in the integration of constraints to capture the impact of transcriptional regulation. We divide the reconstruction process into ten distinct steps: (1) genome assembly from sequenced reads; (2) automated structural and functional annotation; (3) phylogenetic tree-based curation of genome annotations; (4) assembly and standardization of biochemistry database; (5) genome-scale metabolic reconstruction; (6) generation of core metabolic model; (7) generation of biomass composition reaction; (8) completion of draft metabolic model; (9) curation of metabolic model; and (10) integration of regulatory constraints. Each of these ten steps is documented in detail.

Lideranças curriculares intermédias no contexto da avaliação externa das escolas em Portugal

Tese de Doutoramento em Ciências da Educação (área de especialização em Desenvolvimento Curricular).

Melhoria e normalização de ferramentas de apoio à produção aplicando ferramentas Lean

Dissertação de mestrado integrado em Engenharia e Gestão Industrial

Aplicação de técnicas e procedimentos Lean Production numa empresa da indústria automóvel

Dissertação de mestrado integrado em Engenharia e Gestão Industrial

O ensino da matemática e a avaliação externa de escolas: um estudo com professores do 1.º e 2.º ciclos

Os processos e práticas de educação e formação portugueses estão cada vez mais integrados em agendas globalmente estruturadas, cujo eixo de influência se situa no quadro comum das políticas da União Europeia e de organismos transnacionais como a OCDE (Pacheco, 2009). A avaliação tem vindo a assumir, nas últimas décadas, um papel central, extrapolando a sua importância para além do campo da educação (Afonso, 2010). O destaque atribuído à avaliação das escolas decorre de duas tendências que marcam a generalidade dos países europeus: a descentralização de meios e a definição de objetivos nacionais e de patamares de resultados escolares (Eurydice, 2011). Utilizando a análise político-económica da globalização na educação e fazendo também uma abordagem crítica às políticas de partilha (Takayama, 2013), pretendese analisar a mediação das pressões das políticas curriculares de homogeneização e estandardização dos resultados (Afonso, 2012; Santiago, Donaldson, Looney & Nusche, 2012) e a sua influência nos professores de Matemática. O presente estudo quantitativo envolve a realização de um inquérito por questionário aos professores do 1.º e 2.º ciclos de Matemática do Ensino Básico, onde se averigua de que forma o modelo de avaliação externa de escolas, implementado em Portugal desde 2006, tem colaborado para a elaboração de consequências concretas nos standards de avaliação, e na preponderância dos testes sumativos na disciplina de Matemática, considerando as mudanças curriculares e pedagógicas.

Estudo da logística do armazenamento e distribuição interna de consumíveis clínicos de uma unidade hospitalar

Dissertação de mestrado em Engenharia Industrial

Gestão de fluxos de produção numa unidade cirúrgica de ambulatório

Dissertação de mestrado em Engenharia Industrial

Desenvolvimento de um sistema para análise de equilíbrio baseado em sensores inerciais

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e de Computadores

Ensaios de controlo de qualidade em sabões e sabonetes

Dissertação de mestrado em Técnicas de Caracterização e Análise Química

Aplicação do paradigma Lean em processos clínicos do Centro Hospitalar do Alto Ave

Dissertação de mestrado em Engenharia Industrial