Influência de plumas de água doce na hidrodinâmica do estuário da Ria de Arousa (NW Espanha), uma abordagem de modelação matemática

Localizada na parte sul da costa da Galiza, a ria de Arousa, tem um interesse particular devido à sua importante indústria de exploração de marisco, especialmente culturas de bivalves. O crescimento, qualidade e mortalidade destes bivalves não só são afetados por possíveis incidentes de poluição, mas também por episódios de grande run-off, que podem produzir decréscimos sazonais significativos de salinidade. Neste contexto, a presente dissertação pretende contribuir para uma melhor compreensão de como as plumas de água doce provenientes dos rios vão influenciar os gradientes de salinidade e temperatura no estuário da ria de Arousa. O objetivo é proceder a uma melhoria da previsão hidrodinâmica do modelo operacional oceanográfico desta ria, que é executado diariamente pela MeteoGalicia. Para atingir esse objectivo executaram-se simulações numéricas para diferentes cenários de forçamento. Foram escolhidos dois períodos com diferentes condições meteorológicas: um período de inverno, coincidindo com chuvas fortes e um período de verão, coincidindo com a ausência de precipitação. Foi aplicado o modelo hidrodinâmico MOHID (Hydrodynamic Model) para simular os processos físicos da ria de Arousa, utilizando a metodologia de modelos encaixados. O forçamento para a superfície foi imposto através do modelo atmosférico WRF (Weather Regional Forecast), que fornece as variáveis meteorológicas necessárias. Para fronteira terra, uma ferramenta hidrológica foi implementada, o modelo SWAT (Soil water Assessment Tool), este providencia as descargas de água doce para os principais rios da região. É feita neste trabalho uma descrição da implementação deste sistema, assim como a caracterização da área de estudo. Os resultados do modelo foram comparados com medidas provenientes de bóias oceanográficas e perfis de CTDs (Conductivity-Temperature-Depth instrument) em diferentes localizações.

Electrical characterization of metal-oxide-polymer devices for non-volatile memory applications

The objective of this thesis is to study the properties of resistive switching effect based on bistable resistive memory which is fabricated in the form of Al2O3/polymer diodes and to contribute to the elucidation of resistive switching mechanisms. Resistive memories were characterized using a variety of electrical techniques, including current-voltage measurements, small-signal impedance, and electrical noise based techniques. All the measurements were carried out over a large temperature range. Fast voltage ramps were used to elucidate the dynamic response of the memory to rapid varying electric fields. The temperature dependence of the current provided insight into the role of trapped charges in resistive switching. The analysis of fast current fluctuations using electric noise techniques contributed to the elucidation of the kinetics involved in filament formation/rupture, the filament size and correspondent current capabilities. The results reported in this thesis provide insight into a number of issues namely: (i) The fundamental limitations on the speed of operation of a bi-layer resistive memory are the time and voltage dependences of the switch-on mechanism. (ii) The results explain the wide spread in switching times reported in the literature and the apparently anomalous behaviour of the high conductance state namely the disappearance of the negative differential resistance region at high voltage scan rates which is commonly attributed to a “dead time” phenomenon which had remained elusive since it was first reported in the ‘60s. (iii) Assuming that the current is filamentary, Comsol simulations were performed and used to explain the observed dynamic properties of the current-voltage characteristics. Furthermore, the simulations suggest that filaments can interact with each other. (iv) The current-voltage characteristics have been studied as a function of temperature. The findings indicate that creation and annihilation of filaments is controlled by filling and neutralizing traps localized at the oxide/polymer interface. (v) Resistive switching was also studied in small-molecule OLEDs. It was shown that the degradation that leads to a loss of light output during operation is caused by the presence of a resistive switching layer. A diagnostic tool that predicts premature failure of OLEDs was devised and proposed. Resistive switching is a property of oxides. These layers can grow in a number of devices including, organic light emitting diodes (OLEDs), spin-valve transistors and photovoltaic devices fabricated in different types of material. Under strong electric fields the oxides can undergo dielectric breakdown and become resistive switching layers. Resistive switching strongly modifies the charge injection causing a number of deleterious effects and eventually device failure. In this respect the findings in this thesis are relevant to understand reliability issues in devices across a very broad field.

Predicting intention to work with social robots

The growing number of robotic solutions geared to interact socially with humans, social robots, urge the study of the factors that will facilitate or hinder future human robot collaboration. Hence the research question: what are the factors that predict intention to work with a social robot in the near future. To answer this question the following socio-cognitive models were studied, the theory of reasoned action, the theory of planned behavior and the model of goal directed behavior. These models purport that all the other variables will only have an indirect effect on behavior. That is, through the variables of the model. Based on the research on robotics and social perception/ cognition, social robot appearance, belief in human nature uniqueness, perceived warmth, perceived competence, anthropomorphism, negative attitude towards robots with human traits and negative attitudes towards interactions with robots were studied for their effects on attitude towards working with a social robot, perceived behavioral control, positive anticipated emotions and negative anticipated emotions. Study 1 identified the social representation of robot. Studies 2 to 5 investigated the psychometric properties of the Portuguese version of the negative attitude towards robots scale. Study 6 investigated the psychometric properties of the belief in human nature uniqueness scale. Study 7 tested the theory of reasoned action and the theory of planned behavior. Study 8 tested the model of goal directed behavior. Studies 7 and 8 also tested the role of the external variables. Study 9 tested and compared the predictive power of the three socio-cognitive models. Finally conclusion are drawn from the research results, and future research suggestions are offered.

Stress parental e suporte social em mães de crianças com diabetes

Dissertação de Mestrado, Psicologia da Saúde, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2006

Gestão da manutenção de equipamentos médicos no Centro Hospitalar do Algarve, E.P.E., Unidade Hospitalar de Faro: projeto de melhoria

Dissertação de mestrado, Gestão de Unidades de Saúde, Faculdade de Economia, Universidade do Algarve, 2015

Seleção sexual e estimativa populacional em Syngnathus typhle na Ria Formosa (Portugal)

Dissertação de mestrado, Biologia Marinha, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Otimismo disposicional e esperança em adolescentes em situação de risco. Implementação de um programa de promoção da resiliência

Dissertação de Mestrado, Psicologia da Educação, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2015

Um contributo da análise multivariada na educação da diabetes: metodologia CHAID para a criação de perfis de doentes

Dissertação de mestrado, Gestão Empresarial, Faculdade de Economia, Universidade do Algarve, 2014