[Prefácio] A imersão da técnica na cultura e nos corpos

[Excerto] As biotecnologias, do mesmo modo que as tecnologias da informação e da comunicação, têm investido e mobilizado a cultura e o humano. E apesar de os objectos técnicos serem o produto da inventividade humana, a técnica tem-se afastado da ideia instrumental de simples construção humana para causa do próprio homem (Heidegger, 1988). A ideia de crise do humano tem-se então acentuado, à medida que passamos a falar de vida artificial, de fertilização in vitro, de "barrigas de aluguer", de clonagem, replicantes e cyborgs, de adeus ao corpo e à carne, de pós-orgânico e de trans-humano.

Desenvolvimento de rede neuronal artificial para o diagnóstico de doenças neurodegenerativas

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores

Artificial thymus: a tissue engineering strategy

The thymus is the central organ responsible for the generation of T lymphocytes (1). Various diseases cause the thymus to produce in- sufficient T cells, which can lead to immune-suppression (2). Since T cells are essential for the protection against pathogens, it is crucial to promote de novo differentiation of T cells on diseased individuals. The available clinical solutions are: 1) one protocol involving the transplant of thymic stroma from unrelated children only applicable for athymic children (3); 2) for patients with severe peripheral T cell depletion and reduced thymic activity, the administration of stimu- lating molecules stimulating the activity of the endogenous thymus (4). A scaffold (CellFoam) was suggested to support thymus regen- eration in vivo (5), although this research was discontinued. Herein, we propose an innovative strategy to generate a bioartificial thymus. We use a polycaprolactone nanofiber mesh (PCL-NFM) seeded and cultured with human thymic epithelial cells (hTECs). The cells were obtained from infant thymus collected during pediatric cardio-tho- racic surgeries. We report new data on the isolation and characterization of those cells and their interaction with PCL-NFM, by expanding hTECs into relevant numbers and by optimizing cell seeding methods.

Um olhar sobre a surdez: uma história de vida

Dissertação de mestrado em Educação Especial (área de especialização em Intervenção Precoce)

Plataforma para suporte ao ciclo de vida de organizações virtuais e seleção dinâmica de parceiros e fornecedores

Tese de Doutoramento em Engenharia Industrial e de Sistemas

O meu ponto de vista é um ponto de escuta. O poder do som nos filmes de Manoel de Oliveira

Tese de Doutoramento em Ciências da Comunicação - Especialidade em Comunicação Audiovisual

Qualidade de vida após um ano da cirurgia bariátrica

Dissertação de mestrado integrado em Psicologia

Qualidade de vida nos cuidadores informais de doentes com doença de Alzheimer

Dissertação de mestrado em Psicologia Aplicada

A experiência subjetiva na vida diária de adolescentes com Síndrome de Asperger: um estudo exploratório

Dissertação de mestrado integrado em Psicologia

Agostinho da Silva: a "vida conversável" como fundamento da educação

Tese de Doutoramento em Ciências da Educação (área de especialização em Filosofia da Educação).

Custo ótimo de ciclo de vida na requalificação urbana da urbanização de Vila d’Este

A urbanização de Vila d’Este é uma das mais importantes urbanizações de “habitação de custos controlados” em Portugal, com um total de 109 edifícios, alojando cerca de 17 mil habitantes. Tendo por base o processo de reabilitação em curso, é realizada uma análise de custos de ciclo de vida. O objetivo é identificar os níveis ótimos de rentabilidade dos requisitos energéticos aplicáveis na reabilitação dos edifícios e em cada um dos seus componentes com relevância no desempenho energético, bem como identificar os níveis de desempenho energético compatíveis com o conceito de edifícios de necessidades quase nulas de energia. Os resultados desta avaliação serão de utilidade relevante para o desenvolvimento do plano nacional para a reabilitação do parque edificado existente como previsto na Diretiva Europeia para o Desempenho Energético dos Edifícios de 2010.

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.

Logic programming and artificial neural networks in breast cancer detection

About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening.