An artificial neural network approach for short-term wind power forecasting in Portugal

This paper presents an artificial neural network approach for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. The accuracy of the wind power forecasting attained with the proposed approach is evaluated against persistence and ARIMA approaches, reporting the numerical results from a real-world case study.

Estudo do recife artificial a construir na Leirosa: aplicação de modelação numérica para simulação da propagação da agitação marítima

A temática dos recifes artificiais multifuncionais é relativamente recente, sendo que o primeiro recife artificial multifuncional construído data do ano de 1999 (Perth, Austrália). A palavra multifuncional está associada aos múltiplos propósitos que se podem atingir com a construção de uma estrutura destas, sendo eles, a proteção costeira, o aumento da biodiversidade local, a melhoria da qualidade das ondas para o Surf e a promoção do turismo ligado aos desportos de ondas. Para dar resposta a um caso de proteção costeira, na zona marítima adjacente à praia de Leirosa, Portugal, foi pensada uma construção de um recife artificial que funcione como obra de proteção do sistema dunar local e que, adicionalmente melhore as condições locais para a prática de Surf. Este trabalho descreve a análise de duas soluções de recife (em forma de “V”, formando um ângulo de 45º e 66º, entre si), através dos valores das características das ondas (altura, período e direção) e parâmetros de surfabilidade (linha de rebentação, número de Iribarren e ângulo de rebentação), para uma gama alargada de condições de agitação frequente. Para tal, foi necessário caracterizar a agitação marítima, através do modelo numérico SWAN para determinação dos casos de agitação mais frequentes na zona marítima adjacente ao local de implantação do recife e para, posteriormente, se proceder à sua utilização no modelo numérico DREAMS, que permitiu a simulação da propagação das ondas sobre o recife. A comparação dos resultados do modelo numérico DREAMS para as situações de com e sem recife (para as duas soluções de recife) permitiu avaliar a influência do mesmo em termos de alturas de onda, linha de rebentação e ângulo de rebentação, tendo-se chegado a resultados satisfatórios do ponto de vista do melhoramento das condições locais para a prática do Surf.

Cellular polarity in aging: role of redox regulation and nutrition

Cellular polarity concerns the spatial asymmetric organization of cellular components and structures. Such organization is important not only for biological behavior at the individual cell level, but also for the 3D organization of tissues and organs in living organisms. Processes like cell migration and motility, asymmetric inheritance, and spatial organization of daughter cells in tissues are all dependent of cell polarity. Many of these processes are compromised during aging and cellular senescence. For example, permeability epithelium barriers are leakier during aging; elderly people have impaired vascular function and increased frequency of cancer, and asymmetrical inheritance is compromised in senescent cells, including stem cells. Here, we review the cellular regulation of polarity, as well as the signaling mechanisms and respective redox regulation of the pathways involved in defining cellular polarity. Emphasis will be put on the role of cytoskeleton and the AMP-activated protein kinase pathway. We also discuss how nutrients can affect polarity-dependent processes, both by direct exposure of the gastrointestinal epithelium to nutrients and by indirect effects elicited by the metabolism of nutrients, such as activation of antioxidant response and phase-II detoxification enzymes through the transcription factor nuclear factor (erythroid-derived 2)-like 2 (Nrf2). In summary, cellular polarity emerges as a key process whose redox deregulation is hypothesized to have a central role in aging and cellular senescence.

Controlo e optimização de sistemas AVAC recorrendo a técnicas de inteligência artificial

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Medication regimen complexity in institutionalized elderly people in an aging society

Background: Complex medication regimens may adversely affect compliance and treatment outcomes. Complexity can be assessed with the medication regimen complexity index (MRCI), which has proved to be a valid, reliable tool, with potential uses in both practice and research. Objective: To use the MRCI to assess medication regimen complexity in institutionalized elderly people. Setting: Five nursing homes in mainland Portugal. Methods: A descriptive, cross-sectional study of institutionalized elderly people (n = 415) was performed from March to June 2009, including all inpatients aged 65 and over taking at least one medication per day. Main outcome measure: Medication regimen complexity index. Results: The mean age of the sample was 83.9 years (±6.6 years), and 60.2 % were women. The elderly patients were taking a large number of drugs, with 76.6 % taking more than five medications per day. The average medication regimen complexity was 18.2 (±SD = 9.6), and was higher in the females (p < 0.001). The most decisive factors contributing to the complexity were the number of drugs and dosage frequency. In regimens with the same number of medications, schedule was the most relevant factor in the final score (r = 0.922), followed by pharmaceutical forms (r = 0.768) and additional instructions (r = 0.742). Conclusion: Medication regimen complexity proved to be high. There is certainly potential for the pharmacist's intervention to reduce it as part as the medication review routine in all the patients.