O direito à memória e o ensino da história do conflito armado colombiano em um ambiente museal

O direito à memória é o direito que tem a sociedade de conhecer, lembrar e procurar a verdade sobre seu próprio passado, sobretudo em situações de violência recente como é o conflito armado colombiano. O direito à memória pode ser garantido ou negado no campo da didatização da história. O ensino de história também acontece em espaços não escolarizados como os museus. O tema da pesquisa é: como os estudantes constroem explicações históricas sobre o conflito armado colombiano em um ambiente museal, e sua relação com o direito à memória. O trabalho de campo se desenvolve na Casa Museu Jorge Eliécer Gaitán (Bogotá - Colômbia), com estudantes das três últimas séries do sistema escolar colombiano. Partimos do pressuposto de que a Casa Museu Gaitán está vinculada não só a um passado doloroso, mas também a um presente conflituoso. As temporalidades superpostas deste espaço museal, são analisadas através das relações entre história acadêmica, história escolar e história cotidiana. Por isto, dialoga-se também com os conteúdos propostos para à área de Ciências Sociais e o livro didático. Garantir um direito à memória através do ensino de história, passa por combater as pretensões oficiais de impor uma memória única do passado, e oferecer ferramentas para que os estudantes possam construir explicações históricas a partir do raciocínio crítico. Isto é possível quando os estudantes confrontam as diferentes vozes que relatam o passado recente. No caso colombiano, garantir o direito à memória através do ensino de história da violência recente, é ainda mais complexo pela função que desenvolve o próprio Estado colombiano no meio do conflito armado.

Improving The Robustness Of Interventional 4D Ultrasound Segmentation Through The Use Of Personalized Shape Priors

While fluoroscopy is still the most widely used imaging modality to guide cardiac interventions, the fusion of pre-operative Magnetic Resonance Imaging (MRI) with real-time intra-operative ultrasound (US) is rapidly gaining clinical acceptance as a viable, radiation-free alternative. In order to improve the detection of the left ventricular (LV) surface in 4D ultrasound, we propose to take advantage of the pre-operative MRI scans to extract a realistic geometrical model representing the patients cardiac anatomy. This could serve as prior information in the interventional setting, allowing to increase the accuracy of the anatomy extraction step in US data. We have made use of a real-time 3D segmentation framework used in the recent past to solve the LV segmentation problem in MR and US data independently and we take advantage of this common link to introduce the prior information as a soft penalty term in the ultrasound segmentation algorithm. We tested the proposed algorithm in a clinical dataset of 38 patients undergoing both MR and US scans. The introduction of the personalized shape prior improves the accuracy and robustness of the LV segmentation, as supported by the error reduction when compared to core lab manual segmentation of the same US sequences.

Tradução e legendagem do documentário: memórias do ofício

Trabalho de Projeto apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Tradução e Interpretação Especializadas, sob orientação do Dr. Manuel Fernando Moreira da Silva

Lar militar: projecto de execução

Trabalho Final de Mestrado para obtenção do grau de mestre em Engenharia Civil na Área de Especialização em Estruturas

Comunicação política no facebook: um estudo exploratório de sete políticos portugueses

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Jornalismo.

Enabling inter-domain transactions in bridge-based hybrid wired/wireless PROFIBUS networks

The marriage of emerging information technologies with control technologies is a major driving force that, in the context of the factory-floor, is creating an enormous eagerness for extending the capabilities of currently available fieldbus networks to cover functionalities not considered up to a recent past. Providing wireless capabilities to such type of communication networks is a big share of that effort. The RFieldbus European project is just one example, where PROFIBUS was provided with suitable extensions for implementing hybrid wired/wireless communication systems. In RFieldbus, interoperability between wired and wireless components is achieved by the use specific intermediate networking systems operating as repeaters, thus creating a single logical ring (SLR) network. The main advantage of the SLR approach is that the effort for protocol extensions is not significant. However, a multiple logical ring (MLR) approach provides traffic and error isolation between different network segments. This concept was introduced in, where an approach for a bridge-based architecture was briefly outlined. This paper will focus on the details of the inter-Domain Protocol (IDP), which is responsible for handling transactions between different network domains (wired or wireless) running the PROFIBUS protocol.

A framework for programming sensor networks with scheduling and resource-sharing optimizations

Several projects in the recent past have aimed at promoting Wireless Sensor Networks as an infrastructure technology, where several independent users can submit applications that execute concurrently across the network. Concurrent multiple applications cause significant energy-usage overhead on sensor nodes, that cannot be eliminated by traditional schemes optimized for single-application scenarios. In this paper, we outline two main optimization techniques for reducing power consumption across applications. First, we describe a compiler based approach that identifies redundant sensing requests across applications and eliminates those. Second, we cluster the radio transmissions together by concatenating packets from independent applications based on Rate-Harmonized Scheduling.

Optimal virtual cluster-based multiprocessor scheduling

Scheduling of constrained deadline sporadic task systems on multiprocessor platforms is an area which has received much attention in the recent past. It is widely believed that finding an optimal scheduler is hard, and therefore most studies have focused on developing algorithms with good processor utilization bounds. These algorithms can be broadly classified into two categories: partitioned scheduling in which tasks are statically assigned to individual processors, and global scheduling in which each task is allowed to execute on any processor in the platform. In this paper we consider a third, more general, approach called cluster-based scheduling. In this approach each task is statically assigned to a processor cluster, tasks in each cluster are globally scheduled among themselves, and clusters in turn are scheduled on the multiprocessor platform. We develop techniques to support such cluster-based scheduling algorithms, and also consider properties that minimize total processor utilization of individual clusters. In the last part of this paper, we develop new virtual cluster-based scheduling algorithms. For implicit deadline sporadic task systems, we develop an optimal scheduling algorithm that is neither Pfair nor ERfair. We also show that the processor utilization bound of us-edf{m/(2m−1)} can be improved by using virtual clustering. Since neither partitioned nor global strategies dominate over the other, cluster-based scheduling is a natural direction for research towards achieving improved processor utilization bounds.

A metáfora e a imagem : estratégias para a transmissão de conteúdos técnicos na aula de Dança Clássica com alunos do 1º ano da Escola de Dança de Ana Luísa Mendonça

Relatório Final de Estágio apresentado à Escola Superior de Dança, com vista à obtenção do grau de Mestre em Ensino de Dança.

Guia para a descconstrução de edifícios

Num passado relativamente recente, o processo de demolição tem experimentado várias mudanças, que incidem principalmente na forma como o edifício ou estrutura vai ser demolido. Mais recentemente, o surgimento das preocupações ambientais levam hoje a falar de "desconstrução", em função do prejuízo das demolições. O termo desconstrução é usado para descrever o processo de desmantelamento e remoção seletiva de materiais de construção em vez da demolição tradicional. O sucesso da desconstrução vem em função do planeamento antecipado, da aplicação contínua das regras de segurança e da formação e informação para todos os trabalhadores. A triagem de materiais de demolição é de certa forma imposta pela preocupação das empresas que contribuem para a economia de recursos naturais. Esta metodologia é uma melhoria contínua, porém muito mais diversificados os materiais obtidos e a sua heterogeneidade. A correta gestão do fluxo de resíduos de construção e demolição é importante e o seu interesse na reciclagem de resíduos tem aumentado constantemente. Esse interesse é dirigido pelo grande volume desses materiais, os custos associados e uma maior consciência das oportunidades de reciclar. Auxiliando também no desenvolvimento dos mercados locais para os resíduos, tanto para os materiais que são diretamente reutilizados, como os que são reciclados, sendo novamente aplicados na construção civil. Esta dissertação aborda os métodos comummente utilizados na demolição de edifícios que dão mais atenção ao planeamento e execução dos trabalhos de demolição, garantindo a segurança no local de trabalho.

An agent based architecture for material handling systems

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Analysis of panoramio photo tags in order to extract land use information

In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.

Performance analysis of an SRI screen based on employment quality in high and low capital industries: International evidence

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics and Maastricht University School of Business and Economics

Assessment of medical courses in Brazil using student-completed questionnaires. Is it reliable?

INTRODUCTION: Debates about the quality of medical education have become more evident in the recent past, and as a result several different assessment methods have been refined for that purpose. The use of questionnaires filled out by medical students to assess the quality of lectures is one of the most common methods employed in our milieu. However, the reliability of this investigation method has not yet been systematically tested. The authors present the reliability of a specific form applied to the fourth grade medical students during the clinical psychiatry course. METHOD: Eighty-one fourth grade medical students were instructed to complete a form immediately after each clinical psychiatry lecture. Thirty-four students (42%) failed to turn in the forms after the final lecture. These students were given an identical form to assess the lectures in a retrospective fashion. The grades given by both groups of students for each performed lecture and the number of students who have graded an unperformed lecture were compared. Statistical significance for both groups was determined by means of the chi-square test (p< 0.05). RESULTS: Eighteen out of the 34 students who filled out the forms retrospectively (53%) rated the unperformed lecture, whereas only 5 out of the 47 students who filled out the forms during the course (11%) did so. This is statistically significant (p< 0.05). There was no statistical difference for the grades given to the lectures that were actually performed. DISCUSSION: The authors concluded the low reliability rate of the retrospective evaluation warrant a continuous assessment method during the course.

A proposed Pleistocene/Holocene lake in the Amazon basin and its significance to Amazonian geology and biogeography

Recent studies have described widespread statigraphic units of Late Pleistocene and Holocene age in the western part of the Amazon Basin. The recognition of deltaic sedimentation in the uppermost these units near Rio Branco, Brazil, at a modern elevation of approximately 500 feett leads to the conclusion that this area was situated on the edge of a large Amazonian lake that existed in the recent past when Andean tectonism caused active downwarping of the western edge of the Amazon Basin. The ramifications of this "Lago Anazonas" hypothesis extend into every area of modern Amazonian geology and biology.