As crianças-soldado na Serra Leoa e na Libéria: estudo comparado sobre o papel da ONU como provedor de segurança humana

Dissertação de mestrado em Relações Internacionais

Glazing daylighting performance and Trombe wall thermal performance of a modular façade system in four different Portuguese cities

This paper reports on a new façade system that uses passive solutions in the search for energy efficiency. The differentials are the versatility and flexibility of the modules, which are important advantages of the system. The thermal performance of Trombe walls and glazings and the daylighting performance of glazing were the key aspects analyzed in the results. Computational simulations were accomplished for the thermal performance of different arrangements of the modules with DesignBuilder software. The glazing daylighting performance was studied by means of Ecotect and Desktop Radiance programs and compared with the transmittance curves of glazings. Occupancy profile and internal gains were fixed according to the Portuguese reality for both studies. The main characteristics considered in this research were the use of two double glazings, four different climates in Portugal and one and two Trombe walls in the façade. The results show an important reduction in the energy consumption with the use of Trombe walls and double self-cleaning glazing in the façade, which also presented better daylighting performance.

Relative information entropy in cosmology: The problem of information entanglement

The necessary information to distinguish a local inhomogeneous mass density field from its spatial average on a compact domain of the universe can be measured by relative information entropy. The Kullback-Leibler (KL) formula arises very naturally in this context, however, it provides a very complicated way to compute the mutual information between spatially separated but causally connected regions of the universe in a realistic, inhomogeneous model. To circumvent this issue, by considering a parametric extension of the KL measure, we develop a simple model to describe the mutual information which is entangled via the gravitational field equations. We show that the Tsallis relative entropy can be a good approximation in the case of small inhomogeneities, and for measuring the independent relative information inside the domain, we propose the R\'enyi relative entropy formula.

Pervasive decision support to predict football corners and goals by means of data mining

Football is considered nowadays one of the most popular sports. In the betting world, it has acquired an outstanding position, which moves millions of euros during the period of a single football match. The lack of profitability of football betting users has been stressed as a problem. This lack gave origin to this research proposal, which it is going to analyse the possibility of existing a way to support the users to increase their profits on their bets. Data mining models were induced with the purpose of supporting the gamblers to increase their profits in the medium/long term. Being conscience that the models can fail, the results achieved by four of the seven targets in the models are encouraging and suggest that the system can help to increase the profits. All defined targets have two possible classes to predict, for example, if there are more or less than 7.5 corners in a single game. The data mining models of the targets, more or less than 7.5 corners, 8.5 corners, 1.5 goals and 3.5 goals achieved the pre-defined thresholds. The models were implemented in a prototype, which it is a pervasive decision support system. This system was developed with the purpose to be an interface for any user, both for an expert user as to a user who has no knowledge in football games.

Towards a pervasive data mining engine: architecture overview

Current data mining engines are difficult to use, requiring optimizations by data mining experts in order to provide optimal results. To solve this problem a new concept was devised, by maintaining the functionality of current data mining tools and adding pervasive characteristics such as invisibility and ubiquity which focus on their users, providing better ease of use and usefulness, by providing autonomous and intelligent data mining processes. This article introduces an architecture to implement a data mining engine, composed by four major components: database; Middleware (control); Middleware (processing); and interface. These components are interlinked but provide independent scaling, allowing for a system that adapts to the user’s needs. A prototype has been developed in order to test the architecture. The results are very promising and showed their functionality and the need for further improvements.

O uso de Charges como instrumento para identificação de concepções individuais e representações sociais sobre a Dengue

A dengue é hoje uma das doenças com maior incidência no Brasil, com especial frequência no município de Fênix –Paraná. No presente estudo pretendeu-se analisar as concepções que as crianças têm sobre a dengue, identificando os componentes do modelo KVP, bem como conhecer as representações sociais deste grupo. Para o efeito optou-se pela utilização de charges com alunos do 5º ano do ensino fundamental de uma escola localizada no município de Fênix, cujos textos foram analisados para identificação de categorias e dos componentes do modelo KVP (conhecimentos, valores e práticas) a elas associadas. Foram identificadas quatro categorias de respostas sobre a interpretação da charge relativa à dengue: (i) prevenção da dengue, (ii) perigoso que pode levar à morte, (iii) problema de saúde pública e (iv) combater a dengue. Verificou-se que a “prevenção da dengue” foi a categoria em que se identificaram os três domínios K, V e P implicados na construção das concepções, enquanto as duas categorias “perigoso que pode levar à morte” e “problema de saúde pública” apresentaram apenas os domínios K e V, e a categoria “combater a dengue” apenas evidenciou o domínio V. Os resultados do estudo mostraram que os alunos já veem a dengue como um problema com consequências sérias e que todos têm sua responsabilidade no controle da doença. Percebe-se, portanto, que todo o trabalho que vem sendo realizado pela secretaria de saúde, pelas escolas ou campanhas publicitárias esta surtindo efeito, uma vez que no ano de 2014 houve uma redução do número de casos no município foco da pesquisa.

Emotional and behavioral problems in preschoolers: risk factors and assessment Issues

Tese de Doutoramento em Psicologia Aplicada.

Malolactic fermentation in winemaking: evaluation of operational parameters

Dissertação de mestrado em Bioengenharia