4 resultados para PONIATOWSKA, ELENA, 1933-

em Instituto Politécnico do Porto, Portugal


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Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.

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As doenças cardiovasculares (DCV’s) são a maior causa de mortalidade e morbilidade em Portugal. O seu elevado impacto passa pelo desconhecimento, sub-diagnóstico, elevada prevalência e descontrolo dos seus principais factores de risco (clássicos e novos marcadores bioquímicos). Para o diagnóstico de uma das vertentes da doença cardiovascular, a doença cardíaca isquémica, a prova de esforço (PE) é o exame não invasivo, de baixo custo, com reduzida taxa de complicações e de fácil execução, mais usado na clínica. O objectivo deste estudo é averiguar se existe relação entre a prova de esforço, os factores de risco cardiovascular (FR’s) e alguns dos seus marcadores bioquímicos. Com vista a alcançar objectivo realizou-se um estudo prospectivo, longitudinal e descritivo, na Esferasaúde (Maia), entre Janeiro e Maio de 2011. Foram recolhidos dados, por inquérito, referentes a: biografia, antropometria, FR’s, medicação, PE e análises clínicas. Tendo sido incluídos todos os indivíduos (idade ≥ 18 anos) que tenham realizado prova de esforço e análises na unidade citada e com diferença temporal máxima de 2 meses, pelo método de amostragem dirigida e intencional. A dimensão amostral situou-se nos 30 elementos, sendo que 19 eram do género masculino. A média de idade foi 49,43±15,39 anos. Estimou-se a prevalência de FR’s e de indivíduos com valores dos marcadores bioquímicos anormais. Dois dos indivíduos apresentavam história de DCV’s e três deles PE positiva. Foram efectuadas diversas tentativas de associação entre as variáveis integradas no estudo - DCV e FR’s; PE e FR’s; PE e marcadores bioquímicos; capacidade de esforço e FR’s, género e resultado PE. Nenhuma relação se revelou significativa, com excepção para dois casos: relação entre as DCV’s e o aparecimento de alterações na PE (p = 0,002) e associação entre PE e colesterol HDL (p=0,040). Para α de 5%. Conclui-se que não existe relação aparente entre a prova de esforço, a existência de doença cardiovascular, os seus factores de risco e marcadores bioquímicos.

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Several Web-based on-line judges or on-line programming trainers have been developed in order to allow students to train their programming skills. However, their pedagogical functionalities in the learning of programming have not been clearly defined. EduJudge is a project which aims to integrate the “UVA On-line Judge”, an existing on-line programming trainer with an important number of problems and users, into an effective educational environment consisting of the e-learning platform Moodle and the competitive learning tool QUESTOURnament. The result is the EduJudge system which allows teachers to apply different pedagogical approaches using a proven e-learning platform, makes problems easy to search through an effective search engine, and provides an automated evaluation of the solutions submitted to these problems. The final objective is to provide new learning strategies to motivate students and present programming as an easy and attractive challenge. EduJudge has been tried and tested in three algorithms and programming courses in three different Engineering degrees. The students’ motivation and satisfaction levels were analysed alongside the effects of the EduJudge system on students’ academic outcomes. Results indicate that both students and teachers found that among other multiple benefits the EduJudge system facilitates the learning process. Furthermore, the experi- ment also showed an improvement in students’ academic outcomes. It must be noted that the students’ level of satisfaction did not depend on their computer skills or their gender.

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The paper investigates the risk factors for the severity of orthodontic root resorption. The multidimensional scaling (MDS) visualization method is used to investigate the experimental data from patients who received orthodontic treatment at the Department of Orthodontics and Dentofacial Orthopedics, Faculty of Dentistry, “Carol Davila” University of Medicine and Pharmacy, during a period of 4 years. The clusters emerging in the MDS plots reveal features and properties not easily captured by classical statistical tools. The results support the adoption of MDS for tackling the dentistry information and overcoming noise embedded into the data. The method introduced in this paper is rapid, efficient, and very useful for treating the risk factors for the severity of orthodontic root resorption.