A CSR communication strategy for Continente: Improving brand image and reinforcing local community bonds

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Financing green development: 'Climate Bonds’ as a solution for institutional investors engagement

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Nominal and inflation-linked government bonds: An assessment of arbitrage opportunities in UK Gilt Market

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Banco BPI and the reimbursement of contingent convertible subordinated bonds (CoCos)

This case study focuses on the BPI’s recapitalization plan, its causes and the reasons for the early reimbursement of CoCos in June 2014. The need for a capital intervention and the subsequent subscription agreement with the Portuguese Government of €1 500 million Core Tier 1 instruments were the result of a temporary capital buffer for sovereign debt exposures imposed by the European Banking Authority. The capital increase, the positive earnings in 2012 and 2013, the improvements in the sovereign debt crisis, the implementation of Basel III, in addition to the public exchange offer and the conversion of deferred tax assets into tax credits are the main factors for concluding the entire recapitalization operation three years before the deadline.

Cross sectional default probabilities in european corporate bonds

This study attempts to identify basis-trading opportunities in the European banking sector by comparing two different measures for the market’s assessment of risk: market-observed CDS spreads and model-implied Z-spreads. Using a sample of 10 banks, over a period of 3 years following the European banking crisis, it can be concluded that there were arbitrage opportunities in the sector, as evidenced by the derived negative bases.

Automatic learning for the classification of chemical reactions and in statistical thermodynamics

This Thesis describes the application of automatic learning methods for a) the classification of organic and metabolic reactions, and b) the mapping of Potential Energy Surfaces(PES). The classification of reactions was approached with two distinct methodologies: a representation of chemical reactions based on NMR data, and a representation of chemical reactions from the reaction equation based on the physico-chemical and topological features of chemical bonds. NMR-based classification of photochemical and enzymatic reactions. Photochemical and metabolic reactions were classified by Kohonen Self-Organizing Maps (Kohonen SOMs) and Random Forests (RFs) taking as input the difference between the 1H NMR spectra of the products and the reactants. The development of such a representation can be applied in automatic analysis of changes in the 1H NMR spectrum of a mixture and their interpretation in terms of the chemical reactions taking place. Examples of possible applications are the monitoring of reaction processes, evaluation of the stability of chemicals, or even the interpretation of metabonomic data. A Kohonen SOM trained with a data set of metabolic reactions catalysed by transferases was able to correctly classify 75% of an independent test set in terms of the EC number subclass. Random Forests improved the correct predictions to 79%. With photochemical reactions classified into 7 groups, an independent test set was classified with 86-93% accuracy. The data set of photochemical reactions was also used to simulate mixtures with two reactions occurring simultaneously. Kohonen SOMs and Feed-Forward Neural Networks (FFNNs) were trained to classify the reactions occurring in a mixture based on the 1H NMR spectra of the products and reactants. Kohonen SOMs allowed the correct assignment of 53-63% of the mixtures (in a test set). Counter-Propagation Neural Networks (CPNNs) gave origin to similar results. The use of supervised learning techniques allowed an improvement in the results. They were improved to 77% of correct assignments when an ensemble of ten FFNNs were used and to 80% when Random Forests were used. This study was performed with NMR data simulated from the molecular structure by the SPINUS program. In the design of one test set, simulated data was combined with experimental data. The results support the proposal of linking databases of chemical reactions to experimental or simulated NMR data for automatic classification of reactions and mixtures of reactions. Genome-scale classification of enzymatic reactions from their reaction equation. The MOLMAP descriptor relies on a Kohonen SOM that defines types of bonds on the basis of their physico-chemical and topological properties. The MOLMAP descriptor of a molecule represents the types of bonds available in that molecule. The MOLMAP descriptor of a reaction is defined as the difference between the MOLMAPs of the products and the reactants, and numerically encodes the pattern of bonds that are broken, changed, and made during a chemical reaction. The automatic perception of chemical similarities between metabolic reactions is required for a variety of applications ranging from the computer validation of classification systems, genome-scale reconstruction (or comparison) of metabolic pathways, to the classification of enzymatic mechanisms. Catalytic functions of proteins are generally described by the EC numbers that are simultaneously employed as identifiers of reactions, enzymes, and enzyme genes, thus linking metabolic and genomic information. Different methods should be available to automatically compare metabolic reactions and for the automatic assignment of EC numbers to reactions still not officially classified. In this study, the genome-scale data set of enzymatic reactions available in the KEGG database was encoded by the MOLMAP descriptors, and was submitted to Kohonen SOMs to compare the resulting map with the official EC number classification, to explore the possibility of predicting EC numbers from the reaction equation, and to assess the internal consistency of the EC classification at the class level. A general agreement with the EC classification was observed, i.e. a relationship between the similarity of MOLMAPs and the similarity of EC numbers. At the same time, MOLMAPs were able to discriminate between EC sub-subclasses. EC numbers could be assigned at the class, subclass, and sub-subclass levels with accuracies up to 92%, 80%, and 70% for independent test sets. The correspondence between chemical similarity of metabolic reactions and their MOLMAP descriptors was applied to the identification of a number of reactions mapped into the same neuron but belonging to different EC classes, which demonstrated the ability of the MOLMAP/SOM approach to verify the internal consistency of classifications in databases of metabolic reactions. RFs were also used to assign the four levels of the EC hierarchy from the reaction equation. EC numbers were correctly assigned in 95%, 90%, 85% and 86% of the cases (for independent test sets) at the class, subclass, sub-subclass and full EC number level,respectively. Experiments for the classification of reactions from the main reactants and products were performed with RFs - EC numbers were assigned at the class, subclass and sub-subclass level with accuracies of 78%, 74% and 63%, respectively. In the course of the experiments with metabolic reactions we suggested that the MOLMAP / SOM concept could be extended to the representation of other levels of metabolic information such as metabolic pathways. Following the MOLMAP idea, the pattern of neurons activated by the reactions of a metabolic pathway is a representation of the reactions involved in that pathway - a descriptor of the metabolic pathway. This reasoning enabled the comparison of different pathways, the automatic classification of pathways, and a classification of organisms based on their biochemical machinery. The three levels of classification (from bonds to metabolic pathways) allowed to map and perceive chemical similarities between metabolic pathways even for pathways of different types of metabolism and pathways that do not share similarities in terms of EC numbers. Mapping of PES by neural networks (NNs). In a first series of experiments, ensembles of Feed-Forward NNs (EnsFFNNs) and Associative Neural Networks (ASNNs) were trained to reproduce PES represented by the Lennard-Jones (LJ) analytical potential function. The accuracy of the method was assessed by comparing the results of molecular dynamics simulations (thermal, structural, and dynamic properties) obtained from the NNs-PES and from the LJ function. The results indicated that for LJ-type potentials, NNs can be trained to generate accurate PES to be used in molecular simulations. EnsFFNNs and ASNNs gave better results than single FFNNs. A remarkable ability of the NNs models to interpolate between distant curves and accurately reproduce potentials to be used in molecular simulations is shown. The purpose of the first study was to systematically analyse the accuracy of different NNs. Our main motivation, however, is reflected in the next study: the mapping of multidimensional PES by NNs to simulate, by Molecular Dynamics or Monte Carlo, the adsorption and self-assembly of solvated organic molecules on noble-metal electrodes. Indeed, for such complex and heterogeneous systems the development of suitable analytical functions that fit quantum mechanical interaction energies is a non-trivial or even impossible task. The data consisted of energy values, from Density Functional Theory (DFT) calculations, at different distances, for several molecular orientations and three electrode adsorption sites. The results indicate that NNs require a data set large enough to cover well the diversity of possible interaction sites, distances, and orientations. NNs trained with such data sets can perform equally well or even better than analytical functions. Therefore, they can be used in molecular simulations, particularly for the ethanol/Au (111) interface which is the case studied in the present Thesis. Once properly trained, the networks are able to produce, as output, any required number of energy points for accurate interpolations.

Chimpanzees Share Forbidden Fruit

PLoS ONE - www.plosone.org, V.9, e886

Satisfação profissional e vínculo laboral : prestadores de cuidados directos num hospital distrital

RESUMO - A flexibilidade dos contratos de trabalho é cada vez mais uma realidade. Em 2009, cerca de 18% da população activa em Portugal tinha um vínculo instável. Na instituição onde se realizou o estudo, 38,8% dos profissionais de saúde têm este tipo de vínculo. Este estudo foi realizado num hospital distrital com a participação de 103 prestadores de cuidados directos – assistentes operacionais, enfermeiros, médicos e técnicos de diagnóstico e terapêutica - aos quais foi dado um questionário de auto-resposta. Através deste, fez-se a comparação dos níveis de satisfação dos profissionais com diferentes tipos de vínculo. Concluiu-se que as dimensões mais valorizadas são as relacionais e condições de trabalho e saúde. A dimensão da Segurança no Emprego surge no meio da tabela. Ao contrário do que dizem os estudos, a autonomia e poder foi das menos valorizadas. Os profissionais com vínculo laboral instável dão maior importância à segurança. As dimensões relacionais são as que apresentam maiores níveis de satisfação. As que apresentam menores níveis são a Remuneração, Condições de Trabalho e Saúde e Segurança no Emprego, sendo que nesta ultima se registam diferenças significativas entre profissionais com diferentes tipos de vínculo. Verifica-se com 95% de confiança que existem diferenças significativas na dimensão da Segurança no Emprego, onde os profissionais com vínculo instável apresentam menores níveis de satisfação. Os profissionais com vínculo instável demonstram que este facto lhes trouxe consequências negativas ao nível pessoal e social. Não existe significância na diferença entre os níveis da satisfação dos profissionais de saúde com diferentes vínculos. -----------------------------------ABSTRACT - Employment contract flexibility is becoming a reality with each passing day. In 2009, around 18% of the active population in Portugal had an unstable bond. In the institution where this study was conducted, 38.8% of the health professionals have this kind of arrangement. This study was conducted in a district hospital with the participation of 103 direct care providers - operating assistants, nurses, doctors and technical diagnostic and therapeutic - that were given a self-response questionnaire. Through this questionnaire, the levels of satisfaction of the professionals with different types of employment bond were compared. It was concluded that the most valued dimensions are relational and work and health conditions. Work security appears in the middle of the table. Contrary to what studies say, autonomy and power were less valued. Professionals with an unstable bond give greater importance to safety. The relational dimensions are those with higher levels of satisfaction. Those with lower levels are the wages, working conditions and health and safety in employment, where in health and safety in employment show significant differences between professionals with different types of employment bond. We can verify with a 95% confidence interval that there are significant differences in the work safety dimension, where professionals with unstable employment bonds present lower levels of satisfaction. Professionals with an unstable employment bond show that this fact brought them negative consequences at the personal and social level. There is no significant difference between the levels of satisfaction of health professionals with different types of employment bond.

Gold nanoparticle-DNA conjugates for oligonucleotide vectorization towards gene silencing

Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina

Effects of UV radiation exposure on DNA and DNA repair enzymes

Dissertação para obtenção do Grau de Mestre em Biotecnologia

Stochastic modeling of the thermal and catalytic degradation of polyethylene using simultaneous DSC/TG analysis

Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

An NMR structural study of nickel-substituted rubredoxin

J Biol Inorg Chem (2010) 15:409–420 DOI 10.1007/s00775-009-0613-6

Treasury bond returns and U.S. political cycles

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

The determinants of SMEs capital structure: Overcoming supply constraints

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

The two-component system of a novel copper resistant operon of Marinobacter hydrocarbonoclasticus

Dissertation for the Master’s Degree in Structural and Functional Biochemistry