Interculturalidade : caminhos para a transformação

Relatório de estágio de mestrado, Ciências da Educação (Educação Intercultural), Universidade de Lisboa, Instituto de Educação, 2013

A utilização das novas tecnologias de informação e comunicação na aprendizagem : o caso da turma do 2º ano do ensino profissional do curso técnico de receção

Relatório da prática de ensino supervisionada, Mestrado em Ensino da Economia e Contabilidade, Universidade de Lisboa, 2014

Continental surface water and energy budgets in the XX and XXI centuries

Tese de doutoramento, Ciências Geofísicas e da Geoinformação (Meteorologia), Universidade de Lisboa, Faculdade de Ciências, 2015

Position-specific Performance Indicators that Discriminate between Successful and Unsuccessful Teams in Elite Women’s Indoor Field Hockey: Implications for Coaching

The aim of this investigation was to establish median performance profiles for the six playing positions in elite women’s indoor hockey and then identify whether these position-specific profiles could discriminate between qualifying (top four), mid-table and relegated teams in the 2011-12 England Hockey premier league. Successful passing in relegated teams was significantly lower (p<0.008) than in mid-table and qualifying teams in four of the five outfield positions. Furthermore, the right backs of qualifying teams demonstrated significantly fewer (p<0.008) unsuccessful passes (x̃=15.5 ±CLs 15.0 and 10.0 respectively) and interceptions (x̃=4.0 ±CLs 4.0 and 3.0 respectively) than relegated teams (x̃=19.5 ±CLs 21.0 and 17.0; x̃=7.5 ±CLs 8.0 and 6.0 respectively). Finally, the right forwards of relegated teams demonstrated significantly fewer (p<0.008) successful interceptions (x̃=4.0 ±CLs 5.0 and 4.0 respectively) than qualifying teams (x̃=5.0 ±CLs 6.0 and 3.0 respectively) and significantly more (p<0.008) unsuccessful interceptions (x̃=5.5 ±CLs 6.0 and 4.0 respectively) than mid-table teams (x̃=3.0 ±CLs 3.0 and 2.0 respectively). Based on these findings, coaches should adapt tactical strategies and personnel deployment accordingly to enhance the likelihood of preparing a qualifying team. Research should build from these data to examine dribbling, pressing and patterns of play when outletting.

Elite Rugby Union Players Perceptions of Performance Analysis

This study provides an in depth insight into the current views and opinions of elite level rugby union players regarding the use of performance analysis as a tool for improving their own playing performance and in highlighting the strengths and weaknesses of upcoming opponents. A total of seventy-three elite level rugby union players from two clubs in Great Britain completed a semi-structured questionnaire. Additionally, four players completed a semi-structured interview and following inductive content analysis, four key themes emerged: (1) the use of video for player development, (2) preparing for a match, (3) using video for player reflection in addition to other psychological tools and (4) players suggestions for improvements to the clubs current performance analysis programme. The main finding of the study concludes that players viewed performance analysis as a beneficial and useful tool to support their development and preparation. As a result the study provides an insight into the use of performance analysis within professional rugby union, enabling rugby coaches and practitioners to gain an understanding and appreciation of the players views towards the clubs current provision. Additionally, the findings help build and strengthen the on-going knowledge coaches, analysts and researchers currently have regarding how players perceive performance analysis.

A Reflective Encounter With the Fine Sand Area in a Nursery School Setting

This article draws on a model of reflection that involves creating meanings through repeated encounters with evocative objects. Responses to one such evocative object, a 20-second video clip of children playing in the fine sand area, illustrates the “turning toward” and then “turning away” from the object to engage with broader themes. Parten’s play types are used when analyzing children’s play in the fine sand area (the evocative object). The focus then turns away to themes of English as a second language, messy play, energies of childhood, and Foucault’s docile bodies. The intention was to integrate loosely formulated research aims relating to quality of the physical environment within the evolving life of the nursery setting to encourage a developing research orientation and reflective dis-position. This way of approaching practitioner research is well adapted to a longer-term engagement with enduring areas of interest, such as developing the potential of the physical environment.

The transformation of landscape as as aesthetic idear

The present study seeks to thoroughly investigate and delineate the concept alongside the transformation of landscape as an aesthetic idea. On the one side it runs that nature perceived as landscape remains nothing else but granted, evident or 'natural'. On yet another side, and to some fairly significant extend, this thesis identifies landscape as a sheer idea and concept that is shaped and (re-)mediated in an ongoing process. The thesis examines the role of the observer and brings into agreement that every landscape is a produce of creative mental processes. In brief outline, this approach provides a framework for identifying landscape as being inextricably linked with media from the very beginning of their social and cultural inception. As glowing examples for the paradigmatic shift of the classical subjective vision model culminating in the emergence of a new prototype, the camera obscura, together with the panorama, fortify the prevailing argument that the mode of human sense perception is organised and determined by earlier acquainted recognitions. In this matter, as each and every medium strive after accomplishment, then this accomplishment is substantially determined by overwhelming historic, as well as thriving cultural circumstances. In conclusive terms, this study seeks to show how landscape counts as content of a representation, while simultaneously being a very own medium that specifically carries social, geological as well as historic knowledge. In fact, modern vision shall therefore never be bound to any single format or process, rather it will have to always undergo procedures aiming at reshaping the perceivable. Landscape is playing out its major characteristic, specifically that of being, in essence, a purely intellectual, virtual and synthetic product

Macroeconomic information, structural change, and the prediction of fiscal aggregates

Previous research on the prediction of fiscal aggregates has shown evidence that simple autoregressive models often provide better forecasts of fiscal variables than multivariate specifications. We argue that the multivariate models considered by previous studies are small-scale, probably burdened by overparameterization, and not robust to structural changes. Bayesian Vector Autoregressions (BVARs), on the other hand, allow the information contained in a large data set to be summarized efficiently, and can also allow for time variation in both the coefficients and the volatilities. In this paper we explore the performance of BVARs with constant and drifting coefficients for forecasting key fiscal variables such as government revenues, expenditures, and interest payments on the outstanding debt. We focus on both point and density forecasting, as assessments of a country’s fiscal stability and overall credit risk should typically be based on the specification of a whole probability distribution for the future state of the economy. Using data from the US and the largest European countries, we show that both the adoption of a large system and the introduction of time variation help in forecasting, with the former playing a relatively more important role in point forecasting, and the latter being more important for density forecasting.

Modelos de resposta à interação entre fármacos anestésicos : análise de regressão e análise de Clusters

Os avanços tecnológicos e científicos, na área da saúde, têm vindo a aliar áreas como a Medicina e a Matemática, cabendo à ciência adequar de forma mais eficaz os meios de investigação, diagnóstico, monitorização e terapêutica. Os métodos desenvolvidos e os estudos apresentados nesta dissertação resultam da necessidade de encontrar respostas e soluções para os diferentes desafios identificados na área da anestesia. A índole destes problemas conduz, necessariamente, à aplicação, adaptação e conjugação de diferentes métodos e modelos das diversas áreas da matemática. A capacidade para induzir a anestesia em pacientes, de forma segura e confiável, conduz a uma enorme variedade de situações que devem ser levadas em conta, exigindo, por isso, intensivos estudos. Assim, métodos e modelos de previsão, que permitam uma melhor personalização da dosagem a administrar ao paciente e por monitorizar, o efeito induzido pela administração de cada fármaco, com sinais mais fiáveis, são fundamentais para a investigação e progresso neste campo. Neste contexto, com o objetivo de clarificar a utilização em estudos na área da anestesia de um ajustado tratamento estatístico, proponho-me abordar diferentes análises estatísticas para desenvolver um modelo de previsão sobre a resposta cerebral a dois fármacos durante sedação. Dados obtidos de voluntários serão utilizados para estudar a interação farmacodinâmica entre dois fármacos anestésicos. Numa primeira fase são explorados modelos de regressão lineares que permitam modelar o efeito dos fármacos no sinal cerebral BIS (índice bispectral do EEG – indicador da profundidade de anestesia); ou seja estimar o efeito que as concentrações de fármacos têm na depressão do eletroencefalograma (avaliada pelo BIS). Na segunda fase deste trabalho, pretende-se a identificação de diferentes interações com Análise de Clusters bem como a validação do respetivo modelo com Análise Discriminante, identificando grupos homogéneos na amostra obtida através das técnicas de agrupamento. O número de grupos existentes na amostra foi, numa fase exploratória, obtido pelas técnicas de agrupamento hierárquicas, e a caracterização dos grupos identificados foi obtida pelas técnicas de agrupamento k-means. A reprodutibilidade dos modelos de agrupamento obtidos foi testada através da análise discriminante. As principais conclusões apontam que o teste de significância da equação de Regressão Linear indicou que o modelo é altamente significativo. As variáveis propofol e remifentanil influenciam significativamente o BIS e o modelo melhora com a inclusão do remifentanil. Este trabalho demonstra ainda ser possível construir um modelo que permite agrupar as concentrações dos fármacos, com base no efeito no sinal cerebral BIS, com o apoio de técnicas de agrupamento e discriminantes. Os resultados desmontram claramente a interacção farmacodinâmica dos dois fármacos, quando analisamos o Cluster 1 e o Cluster 3. Para concentrações semelhantes de propofol o efeito no BIS é claramente diferente dependendo da grandeza da concentração de remifentanil. Em suma, o estudo demostra claramente, que quando o remifentanil é administrado com o propofol (um hipnótico) o efeito deste último é potenciado, levando o sinal BIS a valores bastante baixos.

Biblioteca para a realização de security token services

A família de especificações WS-* define um modelo de segurança para web services, baseado nos conceitos de claim, security token e Security Token Service (STS). Neste modelo, a informação de segurança dos originadores de mensagens (identidade, privilégios, etc.) é representada através de conjuntos de claims, contidos dentro de security tokens. A emissão e obtenção destes security tokens, por parte dos originadores de mensagens, são realizadas através de protocolos legados ou através de serviços especiais, designados de Security Token Services, usando as operações e os protocolos definidos na especificação WS-Trust. O conceito de Security Token Service não é usado apenas no contexto dos web services. Propostas como o modelo dos Information Cards, aplicável no contexto de aplicações web, também utilizam este conceito. Os Security Token Services desempenham vários papéis, dependendo da informação presente no token emitido. São exemplos o papel de Identity Provider, quando os tokens emitidos contêm informação de identidade, ou o papel de Policy Decision Point, quando os tokens emitidos definem autorizações. Este documento descreve o projecto duma biblioteca software para a realização de Security Token Services, tal como definidos na norma WS-Trust, destinada à plataforma .NET 3.5. Propõem-se uma arquitectura flexível e extensível, de forma a suportar novas versões das normas e as diversas variantes que os Security Token Services possuem, nomeadamente: o tipo dos security token emitidos e das claims neles contidas, a inferência das claims e os métodos de autenticação das entidades requerentes. Apresentam-se aspectos de implementação desta arquitectura, nomeadamente a integração com a plataforma WCF, a sua extensibilidade e o suporte a modelos e sistemas externos à norma. Finalmente, descrevem-se as plataformas de teste implementadas para a validação da biblioteca realizada e os módulos de extensão da biblioteca para: suporte do modelo associado aos Information Cards, do modelo OpenID e para a integração com o Authorization Manager.

Intelligent decision making in electricity markets: simulated annealing Q-Learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM is integrated with ALBidS, a system that provides several dynamic strategies for agents’ behavior. This paper presents a method that aims at enhancing ALBidS competence in endowing market players with adequate strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible actions. These actions are defined accordingly to the most probable points of bidding success. With the purpose of accelerating the convergence process, a simulated annealing based algorithm is included.

Cost dependent strategy for electricity markets bidding based on adaptive reinforcement learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM provides several dynamic strategies for agents’ behavior. This paper presents a method that aims to provide market players with strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible bids. These bids are defined accordingly to the cost function that each producer presents.

A new approach for multi-agent coalition formation and management in the scope of electricity markets

This paper presents a new methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using the multi-agent market simulator MASCEM, taking advantage of its ability to provide the means to model and simulate VPP (Virtual Power Producers). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market, and internally, with their members, in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. The new features include the development of particular individual facilitators to manage the communications amongst the members of each coalition independently from the rest of the simulation, and also the mechanisms for the classification of the agents that are candidates to join the coalition. In addition, a global study on the results of the Iberian Electricity Market is performed, to compare and analyze different approaches for defining consistent and adequate strategies to integrate into the agents of MASCEM. This, combined with the application of learning and prediction techniques provide the agents with the ability to learn and adapt themselves, by adjusting their actions to the continued evolving states of the world they are playing in.

Seller, buyer and VPP agents behavior on a simulated electricity market

Competitive electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is an electricity market simulator able to model market players and simulate their operation in the market. As market players are complex entities, having their characteristics and objectives, making their decisions and interacting with other players, a multi-agent architecture is used and proved to be adequate. MASCEM players have learning capabilities and different risk preferences. They are able to refine their strategies according to their past experience (both real and simulated) and considering other agents’ behavior. Agents’ behavior is also subject to its risk preferences.

A Intenção de uso da M-Wallet pelo consumidor português

Dissertação de Mestrado apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Marketing Digital, sob orientação de Mestre António da Silva Vieira.