A imprensa regional e local: estudo de caso do jornal O Ribatejo

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

Avaliação da intervenção socioeducativa sobre a violência na escola

A investigação desenvolvida no âmbito do projeto Estratégias de Intervenção socioeducativa em contextos sociais complexos enquadra-se na avaliação das políticas sociais e educativas, em particular no que diz respeito à segurança escolar em contextos marcados pela diversidade e complexidade social e cultural. O processo de avaliação centrou-se na análise das estratégias de intervenção socioeducativa relativas ao problema da violência na escola, desenvolvidas em três escolas de um concelho da Área Metropolitana de Lisboa. Partindo do pressuposto que a violência na escola é um fenómeno multideterminado e multifacetado, a pesquisa centrou-se numa abordagem que enquadra as esferas de intervenção/ação das instituições formais e dos agentes sociais enquanto mecanismos que estruturam e regulam as concepções e práticas de violência na escola. A recolha e sistematização de informação centrou-se, por um lado, nas estratégias de intervenção que têm vindo a ser desenvolvidas localmente pelas escolas, e, por outro, nas perspetivas dos diferentes intervenientes, considerando-se os alunos, osprofessores, as direções escolares e representantes das entidades e instituições locais. Metodologicamente, privilegiou-se o cruzamento de métodos de carácter extensivo e intensivo, combinando técnicas como a Observação Direta, a realização de Entrevistas, de Grupos Focais, de Questionários, e ainda, a Análise de Redes e a Análise Documental. Numa fase posterior, os diversos intervenientes participaram na discussão e análise dos resultados previamente recolhidos, e na validação conjunta de uma metodologia de intervenção que define um conjunto de estratégias gerais de combate às situações de violência na escola e nos territórios educativos. Esta metodologia é o principal produto do projeto e resulta de um processo de avaliação dinâmico e participado. A contribuição que se apresenta no VI Encontro do CIED ocupa-se dos procedimentos de avaliação desenvolvidos no âmbito deste projeto.

An Evaluation of Local Feature Combiners for Robot Visual Localization

In the last decade, local image features have been widely used in robot visual localization. To assess image similarity, a strategy exploiting these features compares raw descriptors extracted from the current image to those in the models of places. This paper addresses the ensuing step in this process, where a combining function must be used to aggregate results and assign each place a score. Casting the problem in the multiple classifier systems framework, we compare several candidate combiners with respect to their performance in the visual localization task. A deeper insight into the potential of the sum and product combiners is provided by testing two extensions of these algebraic rules: threshold and weighted modifications. In addition, a voting method, previously used in robot visual localization, is assessed. All combiners are tested on a visual localization task, carried out on a public dataset. It is experimentally demonstrated that the sum rule extensions globally achieve the best performance. The voting method, whilst competitive to the algebraic rules in their standard form, is shown to be outperformed by both their modified versions.

A influência do local de estimulação ventricular na incidência de taquiarritmias auriculares em doentes com pacemaker permanente

Mestrado em Tecnologia de Diagnóstico e Intervenção Cardiovascular

Os impactos dos modelos de avaliação de desempenho dos funcionários administrativos da Administração Local sobre a satisfação no trabalho: Antigo Sistema versus Novo Sistema

Mestrado em Controlo de Gestão e dos Negócios

Intérêts du travail isolé du pouce dans le jeu de la harpe: rapport de stage

Résumé I (Pratiques Pédagogiques)- Ce compte-rendu du stage réalisé pour ma deuxième année de master rapporte le résultat de l’observation des cours donnés à trois élèves de niveaux différents par le professeur de harpe de l’Ecole de Musique « Nossa Senhora do Cabo » à Linda-a-Velha, commune de Oeiras, située près de Lisbonne. Grâce à l’activité du professeur, et par le suivi de l’évolution de ses élèves tout au long de l’année scolaire 2012-2013, tant sur le plan technique que sur le plan musical, j’ai pu participer à toutes les étapes de leur apprentissage et retrouver quelques principes pédagogiques fondamentaux. Ainsi, j’ai constaté la nécessité d’une organisation didactique solide dans la définition d’objectifs, la planification du travail, le choix des méthodes d’étude, mais souple par la régulation des rythmes d’apprentissage et des techniques d’acquisition. La métacognition est aussi une notion composante essentielle de la pratique du professeur, dont un des grands objectifs est de développer chez ses élèves la capacité de se prendre en charge seul. J’ai également apprécié l’importance de l’aspect relationnel intrinsèque à toute situation d’apprentissage, ainsi que celle de la connaissance des théories de la motivation, atout important permettant d’agir au niveau psychologique sur les élèves et d’obtenir à plus ou moins long terme des changements comportementaux influents sur la qualité de ces apprentissages. J’ai enfin essayé de dégager différents types d’approches pédagogiques possibles, parmi les stratégies observées chez le professeur, ainsi que d’après quelques éléments de réflexion personnelle.

Accessibility and Local Development: Interaction between Cross-border Accessibility and Local Development in Portugal and Spain

One of de EU major concerns is cohesion and cross-border regional development. Usually cross-border regions are less dynamic, acting as bottlenecks mainly in peripheral territories. This paper is focused on the Portuguese-Spanish border using socio-economic and accessibility data. It considers Spatial Econometrics to produce statistical evidence on the relationship between accessibility and development at a local scale. A pilot study is conducted on North and Center region using variables such as population age, graduation characteristics, migrations, unemployment and daily accessibility to main towns in future this evaluation will be applied to the entire cross-border area between Portugal and Spain.

The extended unsymmetric frontal solution for multiple-point constraints

The purpose of this paper is to discuss the linear solution of equality constrained problems by using the Frontal solution method without explicit assembling. Design/methodology/approach - Re-written frontal solution method with a priori pivot and front sequence. OpenMP parallelization, nearly linear (in elimination and substitution) up to 40 threads. Constraints enforced at the local assembling stage. Findings - When compared with both standard sparse solvers and classical frontal implementations, memory requirements and code size are significantly reduced. Research limitations/implications - Large, non-linear problems with constraints typically make use of the Newton method with Lagrange multipliers. In the context of the solution of problems with large number of constraints, the matrix transformation methods (MTM) are often more cost-effective. The paper presents a complete solution, with topological ordering, for this problem. Practical implications - A complete software package in Fortran 2003 is described. Examples of clique-based problems are shown with large systems solved in core. Social implications - More realistic non-linear problems can be solved with this Frontal code at the core of the Newton method. Originality/value - Use of topological ordering of constraints. A-priori pivot and front sequences. No need for symbolic assembling. Constraints treated at the core of the Frontal solver. Use of OpenMP in the main Frontal loop, now quantified. Availability of Software.

Global localization with non-quantized local image features

In the field of appearance-based robot localization, the mainstream approach uses a quantized representation of local image features. An alternative strategy is the exploitation of raw feature descriptors, thus avoiding approximations due to quantization. In this work, the quantized and non-quantized representations are compared with respect to their discriminativity, in the context of the robot global localization problem. Having demonstrated the advantages of the non-quantized representation, the paper proposes mechanisms to reduce the computational burden this approach would carry, when applied in its simplest form. This reduction is achieved through a hierarchical strategy which gradually discards candidate locations and by exploring two simplifying assumptions about the training data. The potential of the non-quantized representation is exploited by resorting to the entropy-discriminativity relation. The idea behind this approach is that the non-quantized representation facilitates the assessment of the distinctiveness of features, through the entropy measure. Building on this finding, the robustness of the localization system is enhanced by modulating the importance of features according to the entropy measure. Experimental results support the effectiveness of this approach, as well as the validity of the proposed computation reduction methods.

Reafirmar a Identidade cultural local: o património cultural imaterial local como recurso

Dissertação conducente à obtenção do grau de Mestre em Educação Social e Intervenção Comunitária, sob orientação do Professor Doutor Luís Manuel Costa Moreno

O património local como recurso para o desenvolvimento de competências essenciais da história no 1.º ciclo

Relatório de Estágio apresentado à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ensino do 1.º e do 2.º Ciclo do Ensino Básico

Maria Terra: viagem pela memória musical de uma comunidade (entre o telúrico e o tecnoclógico): trabalho de projecto

Trabalho de Projecto submetido à Escola Superior de Teatro e Cinema para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Teatro - especialização em Artes Performativas – Teatro-Música.

GLODS: Global and Local Optimization using Direct Search

Locating and identifying points as global minimizers is, in general, a hard and time-consuming task. Difficulties increase in the impossibility of using the derivatives of the functions defining the problem. In this work, we propose a new class of methods suited for global derivative-free constrained optimization. Using direct search of directional type, the algorithm alternates between a search step, where potentially good regions are located, and a poll step where the previously located promising regions are explored. This exploitation is made through the launching of several instances of directional direct searches, one in each of the regions of interest. Differently from a simple multistart strategy, direct searches will merge when sufficiently close. The goal is to end with as many direct searches as the number of local minimizers, which would easily allow locating the global extreme value. We describe the algorithmic structure considered, present the corresponding convergence analysis and report numerical results, showing that the proposed method is competitive with currently commonly used global derivative-free optimization solvers.

Robot visual localization through local feature fusion: an evaluation of multiple classifiers combination approaches

In the last decade, local image features have been widely used in robot visual localization. In order to assess image similarity, a strategy exploiting these features compares raw descriptors extracted from the current image with those in the models of places. This paper addresses the ensuing step in this process, where a combining function must be used to aggregate results and assign each place a score. Casting the problem in the multiple classifier systems framework, in this paper we compare several candidate combiners with respect to their performance in the visual localization task. For this evaluation, we selected the most popular methods in the class of non-trained combiners, namely the sum rule and product rule. A deeper insight into the potential of these combiners is provided through a discriminativity analysis involving the algebraic rules and two extensions of these methods: the threshold, as well as the weighted modifications. In addition, a voting method, previously used in robot visual localization, is assessed. Furthermore, we address the process of constructing a model of the environment by describing how the model granularity impacts upon performance. All combiners are tested on a visual localization task, carried out on a public dataset. It is experimentally demonstrated that the sum rule extensions globally achieve the best performance, confirming the general agreement on the robustness of this rule in other classification problems. The voting method, whilst competitive with the product rule in its standard form, is shown to be outperformed by its modified versions.