The risk-return trade-off in Europe: A temporal and cross-sectional analysis

This paper analyzes the risk-return trade-off in European equities considering both temporal and cross-sectional dimensions. In our analysis, we introduce not only the market portfolio but also 15 industry portfolios comprising the entire market. Several bivariate GARCH models are estimated to obtain the covariance matrix between excess market returns and the industrial portfolios and the existence of a risk-return trade-off is analyzed through a cross-sectional approach using the information in all portfolios. It is obtained evidence for a positive and significant risk-return trade-off in the European market. This conclusion is robust for different GARCH specifications and is even more evident after controlling for the main financial crisis during the sample period.

Prevalência de lesões músculo-esqueléticas ligadas ao trabalho (LMELT) em higienistas orais: contributo para a saúde e segurança no local de trabalho

Mestrado em Intervenção Sócio-Organizacional na Saúde - Área de especialização: Qualidade e Tecnologias da Saúde.

Prevalência de sintomas de lesões músculo-esqueléticas ligadas ao trabalho: contributos para a intervenção centrada no trabalhador

Mestrado em Intervenção Sócio-Organizacional na Saúde - Área de especialização: Qualidade e Tecnologias da Saúde.

Lesões músculo-esqueléticas ligadas ao trabalho (LMELT) nos cantoneiros de limpeza/recolha de resíduos urbanos

Mestrado em Segurança e Higiene no TRabalho.

Temporal patterns of TV watching for Portuguese viewers

Audiometer systems provide enormous amounts of detailed TV watching data. Several relevant and interdependent factors may influence TV viewers' behavior. In this work we focus on the time factor and derive Temporal Patterns of TV watching, based on panel data. Clustering base attributes are originated from 1440 binary minute-related attributes, capturing the TV watching status (watch/not watch). Since there are around 2500 panel viewers a data reduction procedure is first performed. K-Means algorithm is used to obtain daily clusters of viewers. Weekly patterns are then derived which rely on daily patterns. The obtained solutions are tested for consistency and stability. Temporal TV watching patterns provide new insights concerning Portuguese TV viewers' behavior.

Avaliação do risco de lesões músculo-esqueléticas ligadas ao trabalho nos serventes da construção civil: contributos da análise macro-postural

Mestrado em Segurança e Higiene no Trabalho

Pulmonary tuberculosis in Continental Portugal 2000-2010: temporal trends clustering as a tool for control evaluation

Clustering analysis is a useful tool to detect and monitor disease patterns and, consequently, to contribute for an effective population disease management. Portugal has the highest incidence of tuberculosis in the European Union (in 2012, 21.6 cases per 100.000 inhabitants), although it has been decreasing consistently. Two critical PTB (Pulmonary Tuberculosis) areas, metropolitan Oporto and metropolitan Lisbon regions, were previously identified through spatial and space-time clustering for PTB incidence rate and risk factors. Identifying clusters of temporal trends can further elucidate policy makers about municipalities showing a faster or a slower TB control improvement.

Optimizing the renewable generation mix in the Portuguese power system based on temporal and spatial diversity

Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.

Complicações músculo-esqueléticas crónicas nas mulheres sobreviventes de cancro da mama

As mulheres com cancro da mama obtiveram, nos últimos anos, um aumento significativo da esperança média de vida; contudo, muitas destas mulheres vivem com as complicações crónicas resultantes do tratamento. O objetivo deste estudo é caracterizar as complicações músculo-esqueléticas (CME) nas sobreviventes de cancro da mama e enfatizar a necessidade de desenvolver terapêuticas preventivas para estas complicações. Métodos – Noventa e quatro mulheres sobreviventes de cancro da mama responderam a um questionário sobre potenciais CME. Resultados – Foi detetada associação significativa entre idade e linfedema (p=0,004), dor no braço (DB) (p=0,000), dor no ombro (DO) (p=0,004), dificuldade em elevar o braço (DEB) (p=0,022) e cervicalgia (p=0,000), verificando-se uma maior incidência nas mulheres com mais de 50 anos. Uma associação significativa foi detetada entre linfadenectomia e linfedema (p=0,000), DB (p=0,000), DO (p=0,008), verificando-se que as mulheres sujeitas a linfadenectomia apresentam maior incidência de linfedema, de DB e de DO. Quanto à sobrevivência constatou-se que as mulheres com mais de 10 anos de sobrevivência têm mais CME. Relativamente à mastectomia foi detetada associação significativa com o linfedema (p=0,012), DB (p=0,020), DO (p=0,003), DEB (p=0,037) e cervicalgia (p=0,020). Verificou-se que as mulheres mastectomizadas têm maior tendência para apresentar linfedema, DB, DO, DEB e cervicalgia. Conclusão – No nosso estudo, as mulheres acima dos 50 anos, as que realizaram a linfadenectomia, as com mais de 10 anos de sobrevivência e as mastectomizadas apresentaram maior incidência de CME.

Incidência das complicações músculo-esqueléticas nas mulheres sobreviventes de cancro da mama

Mestrado em Fisioterapia

Optimizing the renewable generation mix in the portuguese power system based on temporal and spatial diversity

Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.