Alunos excelentes, alunos promissores? A questão dos alunos de mérito académico no ensino superior

A temática da sobredotação tem suscitado interesse por parte da comunidade científica e educativa, sendo que também se tem assistido, nos últimos anos, a um investimento no estudo da excelência humana, incluindo-se a excelência académica. A premissa de que os alunos universitários de mérito académico podem constituir um capital social importante, que deve ser reconhecido, coloca desafios ao contexto educativo para estimular a realização do potencial do aluno e promover o seu desenvolvimento através da concretização de um projeto vocacional. Ao longo deste trabalho procura-se refletir, do ponto de vista teórico, sobre as caraterísticas dos alunos de mérito escolar, no ensino superior, apresentando conceitos e modelos explicativos das altas habilidades e da realização académica excelente, e discutindo algumas possíveis práticas educativas. Finaliza-se com a apresentação de algumas sugestões para um maior investimento na área a nível do ensino superior português

Social entrepreneurship: does institutional environment make a difference?

The purpose of this paper is to contribute to a better understanding of the link between social entrepreneurs and institutional environment in Portugal. A quantitative approach is used in the study, and primary data were collected through an online survey. A questionnaire was emailed to, both, Portuguese Non-Governmental organizations and projects available on the Portuguese social stock exchange. In the analysis of the data were used descriptive statistics, factorial analysis and t-student tests to validate (or not) the research hypotheses. The results show that a favorable institutional environment has a low importance in the decision to develop social initiatives. This conclusion supports the idea that many social entrepreneurs can emerge even in developing regions where the institutional environment is weak. Therefore, social entrepreneurship could be an instrument of regional development and contribute to attenuate the social and economic differences among Portuguese regions.

Prontidão escolar: validação de um instrumento Lollipop Test numa amostra portuguesa: crenças de progenitores e educadores de infância

Dissertação de mestrado integrado em Psicologia

Abstract computation in schizophrenia detection through artificial neural network based systems

Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a large period of time; continuos signs of the disturbance persist for at least 6 (six) months. Once detected, the psychiatrist diagnosis is made through the clinical interview and a series of psychic tests, addressed mainly to avoid the diagnosis of other mental states or diseases. Undeniably, the main problem with identifying schizophrenia is the difficulty to distinguish its symptoms from those associated to different untidiness or roles. Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.

Thrombophilia screening: An artificial neural network approach

Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.

Artificial neural networks in diagnosis of liver diseases

Liver diseases have severe patients’ consequences, being one of the main causes of premature death. These facts reveal the centrality of one`s daily habits, and how important it is the early diagnosis of these kind of illnesses, not only to the patients themselves, but also to the society in general. Therefore, this work will focus on the development of a diagnosis support system to these kind of maladies, built under a formal framework based on Logic Programming, in terms of its knowledge representation and reasoning procedures, complemented with an approach to computing grounded on Artificial Neural Networks.

Silent citizens: on silence and silencing in journalism

Constructivist approaches to journalism, which have dominated the field for most of the second half of the 20th century, underline how selection and ranking processes produce representations and interpretations of social reality. Theoretical perspectives such as agenda-setting or framing have been pointing to the ways production of news messages are shaped and issues are defined. Research inspired by these contributions does however seem to keep in an area of relative shade not so much what is said and published but what is not selected: the unsaid, the withheld, the untold of journalism. The reality that remains in silence, for not being noticed or for being silenced, is the reverse of the coin of what is made visible. In this paper, it is suggested that this situation opens up the debate to a relatively unknown continent, which could contribute to the larger discussion on the current crisis in journalism. It is our contention that ‘the untold’ might be at the confluence of different levels: the journalistic agenda-setting by news sources; the deterioration of working conditions of journalists, compromising the investigation; and the social capital asymmetries from important segments of the population, hampering the public word (speech?) and the right to communicate. In order to build a comprehensive picture of the potentialities and contradictions of journalism from the unsaid side, we would put forward the outline of a typology of journalism's silences, with particular emphasis on some aspects of "discursive discrimination" (Boréus, 2006), on the one hand, and on citizen silence in the process of journalistic production, on the other hand.

From perfect strangers to research partners: a study of relationships, resource sharing and perceived benefits within R&D cooperation networks

Doctoral thesis in Marketing and Strategy.