As systems become more interconnected and complex, relying solely on general-purpose operating systems (OS) to provide the foundation for security-critical applications becomes increasingly challenging. Trusted execution environments (TEEs), i.e., Intel SGX and Arm TrustZone, have been widely adopted to minimize security vulnerabilities by reducing the attack surface. However, recently reported attacks on these...
O presente artigo baseia-se numa investigação concluída em 2004 dedicada ao tema do turismo termal, aplicado ao caso de estudo da Região do Alto Tâmega. Essa investigação estudou as origens e evolução do termalismo, retratou as Termas de Chaves, Vidago e Pedras Salgadas e o território envolvente. Recupera-se esse trabalho vinte anos depois, bem como o projeto de revitalização turístico que então se propunha. Pr...
O PubhD Portugal é uma iniciativa de comunicação de ciência que aproxima a investigação científica da sociedade. Uma vez por mês, dois ou três alunos de doutoramento, de áreas diferentes, encontram-se num bar para falar da sua investigação, dos seus trabalhos, das suas descobertas e frustrações. Neste ambiente descontraído, projetos de várias áreas são apresentados em apenas 10 minutos cada, e constituem temas ...
Predicting the final ischaemic stroke lesion provides crucial information regarding the volume of salvageable hypoperfused tissue, which helps physicians in the difficult decision-making process of treatment planning and intervention. Treatment selection is influenced by clinical diagnosis, which requires delineating the stroke lesion, as well as characterising cerebral blood flow dynamics using neuroimaging ac...
Gliomas are among the most aggressive and deadly brain tumors. This paper details the proposed Deep Neural Network architecture for brain tumor segmentation from Magnetic Resonance Images. The architecture consists of a cascade of three Deep Layer Aggregation neural networks, where each stage elaborates the response using the feature maps and the probabilities of the previous stage, and the MRI channels as inpu...
As artificial intelligence (AI) systems begin to make their way into clinical radiology practice, it is crucial to assure that they function correctly and that they gain the trust of experts. Toward this goal, approaches to make AI "interpretable" have gained attention to enhance the understanding of a machine learning algorithm, despite its complexity. This article aims to provide insights into the current sta...
Additive manufacturing (AM) has emerged in the last decades as an alternative to traditional subtractive and forming manufacturing processes. AM is a process where 3D objects are built by adding material in consecutive layers. Typical AM is characterized by four processing stages: model orientation, creation of supports, slicing, and path planning. In this paper, we will focus on how to use mathematical optimiz...
Desde o início do século XXI, assiste-se a uma política de alívio do investimento em Segurança e Defesa. Portugal, alinhado nessa tendência, viu as Forças Armadas diminuírem os recursos disponíveis, colocando-as na situação de terem que contratar serviços e bens para fazer face à vivência diária. O facto destes serviços assumirem um caráter permanente, coloca em causa a valia da Instituição e a competência para...
Glioblastoma Multiforme is a high grade, very aggressive, brain tumor, with patients having a poor prognosis. Lower grade gliomas are less aggressive, but they can evolve into higher grade tumors over time. Patient management and treatment can vary considerably with tumor grade, ranging from tumor resection followed by a combined radio- and chemotherapy to a “wait and see” approach. Hence, tumor grading is impo...
Additive manufacturing (AM) has emerged in the last decades as an alternative to traditional subtractive and forming manufacturing processes. AM is a process where 3D objects are built by adding material in consecutive layers. Typical AM is characterized by four processing stages: model orientation, creation of supports, slicing, and path planning. In this paper, we will focus on how to use mathematical optimiz...