Aplicação móvel android de apoio a gestão de empréstimos e reservas das bibliotecas da Universidade do Minho

Dissertação de mestrado integrado em Engenharia de Telecomunicações e Informática

A integração de técnicas BIM (Building Information Modeling) no projeto e na construção de estruturas de madeira

Dissertação de mestrado integrado em Engenharia Civil

O setor de distribuição farmacêutica em Portugal estrutura e estratégias

A presente investigação desenvolveu uma análise profunda do setor da distribuição farmacêutica, no período compreendido entre 2000 e 2009, procurando identificar as possíveis relações de interdependência entre o meio envolvente e as opções de estratégia das empresas que constituíram a amostra de estudo e entre as referidas opções de estratégia e as estruturas e o desempenho dessas empresas. A dinâmica do mercado do medicamento na economia nacional, com um valor de 3,2 mil milhões de euros anuais (Infarmed, 2010), apresenta um impacto significativo na esperança de vida e na qualidade de vida dos cidadãos. Segundo a OCDE, os produtos farmacêuticos são responsáveis por quase um quinto de todos os gastos com saúde, em média, nos países da OCDE. Neste contexto, a distribuição farmacêutica representa uma componente crítica. A disponibilização de medicamentos em ambulatório num curto espaço de tempo só é possível devido a uma estrutura logística com características muito específicas. A qualidade do armazenamento e do transporte dos medicamentos desde a saída dos laboratórios até à chegada às farmácias é rigorosamente monitorizada e controlada. O setor da distribuição farmacêutica assume assim uma postura elementar na cadeia do medicamento, contribuindo para a melhoria da qualidade do sistema de saúde que se tem vindo a verificar nas últimas décadas e prestando um serviço com valor para a comunidade, uma vez que se compromete a assegurar um adequado e contínuo fornecimento de medicamentos para que as necessidades dos doentes e das populações em geral sejam satisfeitas. As alterações verificadas ao longo dos últimos anos estimularam a dinâmica concorrencial entre os diferentes agentes neste mercado, bastante regulamentado e com elevado entrosamento financeiro com o Estado, o que obrigou a rápidas mudanças. Neste contexto, a sobrevivência das empresas, o seu crescimento e a sua perenidade futura têm constituído um desafio abordado de forma diversa por cada empresa.

Automatically estimating iSAX parameters

The Symbolic Aggregate Approximation (iSAX) is widely used in time series data mining. Its popularity arises from the fact that it largely reduces time series size, it is symbolic, allows lower bounding and is space efficient. However, it requires setting two parameters: the symbolic length and alphabet size, which limits the applicability of the technique. The optimal parameter values are highly application dependent. Typically, they are either set to a fixed value or experimentally probed for the best configuration. In this work we propose an approach to automatically estimate iSAX’s parameters. The approach – AutoiSAX – not only discovers the best parameter setting for each time series in the database, but also finds the alphabet size for each iSAX symbol within the same word. It is based on simple and intuitive ideas from time series complexity and statistics. The technique can be smoothly embedded in existing data mining tasks as an efficient sub-routine. We analyze its impact in visualization interpretability, classification accuracy and motif mining. Our contribution aims to make iSAX a more general approach as it evolves towards a parameter-free method.

Female hippocampus vulnerability to environmental stress, a precipitating factor in tau aggregation pathology

Tau-mediated neurodegeneration is a central event in Alzheimer's disease (AD) and other tauopathies. Consistent with suggestions that lifetime stress may be a clinically-relevant precipitant of AD pathology, we previously showed that stress triggers tau hyperphosphorylation and accumulation; however, little is known about the etiopathogenic interaction of chronic stress with other AD risk factors, such as sex and aging. This study focused on how these various factors converge on the cellular mechanisms underlying tau aggregation in the hippocampus of chronically stressed male and female (middle-aged and old) mice expressing the most commonly found disease-associated Tau mutation in humans, P301L-Tau. We report that environmental stress triggers memory impairments in female, but not male, P301L-Tau transgenic mice. Furthermore, stress elevates levels of caspase-3-truncated tau and insoluble tau aggregates exclusively in the female hippocampus while it also alters the expression of the molecular chaperones Hsp90, Hsp70, and Hsp105, thus favoring accumulation of tau aggregates. Our findings provide new insights into the molecular mechanisms through which clinically-relevant precipitating factors contribute to the pathophysiology of AD. Our data point to the exquisite sensitivity of the female hippocampus to stress-triggered tau pathology.

Ontological representation of tumor-node-metastasis classification and an ontology-driven classifier: a study on colorectal cancer

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)

BIOMedical search engine framework: lightweight and customized implementation of domain-specific biomedical search engines

The Smart Drug Search is publicly accessible at http://sing.ei.uvigo.es/sds/. The BIOMedical Search Engine Framework is freely available for non-commercial use at https://github.com/agjacome/biomsef

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.