Specifying a programming exercises evaluation service on the e-Framework

The e-Framework is arguably the most prominent e-learning framework currently in use. For this reason it was selected as basis for modelling a programming exercises evaluation service. The purpose of this type of evaluator is to mark and grade exercises in computer programming courses and in programming contests. By exposing its functions as services a programming exercise evaluator is able to participate in business processes integrating different system types, such as Programming Contest Management Systems, Learning Management Systems, Integrated Development Environments and Learning Object Repositories. This paper formalizes the approaches to be used in the implementation of a programming exercise evaluator as a service on the e-Framework.

Using the learning tools interoperability framework for LMS integration in service oriented architectures

The LMS plays an indisputable role in the majority of the eLearning environments. This eLearning system type is often used for presenting, solving and grading simple exercises. However, exercises from complex domains, such as computer programming, require heterogeneous systems such as evaluation engines, learning objects repositories and exercise resolution environments. The coordination of networks of such disparate systems is rather complex. This work presents a standard approach for the coordination of a network of eLearning systems supporting the resolution of exercises. The proposed approach use a pivot component embedded in the LMS with two roles: provide an exercise resolution environment and coordinate the communication between the LMS and other systems exposing their functions as web services. The integration of the pivot component with the LMS relies on the Learning Tools Interoperability. The validation of this approach is made through the integration of the component with LMSs from two vendors.

Influência de diferentes estratégias de estabilização lombopélvica e de programas de exercícios de controlo motor no Active Straight Leg Raise

Introdução: O Active Straight Leg Raise (ASLR) tem sido sugerido como um indicador clínico da estabilidade lombopélvica. Estratégias passivas e ativas podem contribuir para aumentar esta estabilidade, assim como programas de exercício baseados nas mesmas estratégias ativas. Objetivos: Comparar os efeitos imediatos da compressão pélvica manual (CP), do drawing-in (DI) e do bracing abdominal (BA) durante o ASLR em indivíduos com e sem dor lombopélvica crónica e inespecífica, e avaliar o efeito prolongado das manobras de estabilização ativas através dos programas de exercícios de controlo motor, Pilates e McGill. Métodos: Estudo transversal, com uma amostra de 111 voluntários, 52 sem dor lombopélvica (NLPPG) e 59 com dor lombopélvica (LPPG), e estudo experimental, formado pelo LPPG dividido em 19 no grupo controlo (GC), 20 no grupo pilates (GP) e 20 no grupo mcgill (GMg). Foi avaliado o ASLR padrão, o ASLR com CP, o ASLR com DI e ASLR com BA. Os participantes foram avaliados antes e após as 8 semanas de implementação dos programas exercícios de McGill e Richardson, apenas aos respetivos grupos. Resultados: O LPPG apresentou significativamente maior score no ASLR comparativamente ao NLPPG (z=-9,361; p<0,001). Apesar do BA ter apresentado scores inferiores às restantes estratégias (p<0,001), todas elas foram capazes de diminuir o score do ASLR (p<0,001). Após a aplicação dos programas de exercícios, verificou-se que o GP (p<0,001) e o GMg (p<0,001) apresentaram scores significativamente menores no ASLR, relativamente ao GC. No GP e no GMg verificou-se uma diminuição do score do ASLR (Z=-4,028; p<0,001; Z=-4,179; p<0,001, respetivamente). Além disso, GMg apresentou uma tendência para apresentar menores scores do ASLR comparativamente ao GP. Conclusão: Qualquer uma destas manobras de estabilização quando adicionada ao ASLR pode aumentar a estabilidade lombopélvica, especialmente o BA. Os exercícios de Pilates e de McGill permitiram melhorar os scores do ASLR.

Testes de endurance do tronco: diferenças entre indivíduos com e sem dor lombo-pélvica e o efeito de programas de exercício de controlo motor

Introdução: em indivíduos com dor lombo-pélvica (LPP), parece existir uma alteração de controlo motor e diminuição da endurance dos músculos do tronco. A realização de exercícios de controlo motor pode melhorar a endurance dessa musculatura e consequentemente o controlo motor. Objetivos: detetar diferenças nos tempos e rácios de endurance dos músculos do tronco em indivíduos com e sem dor lombo-pélvica e avaliar o efeito de dois programas de exercícios de controlo motor (segundo Richardson e segundo McGill) nos mesmos outcomes em indivíduos com LPP. Métodos: estudo transversal com uma amostra de 111 indivíduos, 52 para o grupo sem dor (NLPP) e 59 para o com LPP e estudo experimental, constituído pelos indivíduos LPP (59), alocados nos grupos de Pilates (20), McGill (20) ou no grupo controlo (19). Avaliaramse os tempos obtidos nos testes de endurance para os músculos extensores, flexores, flexores laterais direitos e esquerdos do tronco e respetivos rácios, tendo em conta o modelo de McGill. As avaliações dos grupos do estudo experimental realizaram-se antes e após as 8 semanas de exercício. Resultados: os indivíduos com LPP apresentaram tempos e rácios de endurance significativamente inferiores aos indivíduos NLPP (p<0.001). Após as 8 semanas de exercício, registaram-se diferenças estatisticamente significativas entre os grupos em todos os testes de endurance, sendo que o grupo de McGill apresentou tempos significativamente superiores aos do grupo de Pilates para os músculos flexores (p=0.001), flexores laterais direitos (p=0.002) e esquerdos (p=0.009). Quanto aos rácios de endurance, não se detetaram apenas diferenças estatisticamente significativas no rácio flexão lateral esquerda/extensão. Conclusão: os indivíduos com LPP apresentaram tempos e rácios de endurance do tronco inferiores aos dos indivíduos sem dor. Ambos os programas de exercícios melhoraram os tempos e os rácios de endurance, tendo existido uma tendência para melhores resultados na abordagem segundo McGill

A stratigraphic framework for the Miocene from the lower Tagus Basin (Lisbon, Setúbal Península, Portugal) Depositional sequences, biostratigraphy and isotopic ages

Rev. Soc. Geol. España, 12(1), ano 1999

Framework para aplicações colaborativas multi-plataforma

Dissertação de Mestrado em Engenharia Informática

Comparação do desempenho e de funcionamento de programas comerciais (ANSYS e SAP2000) focado à análise sísmica

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Civil – Estruturas e Geotecnia

Management Driven Hybrid Multicast Framework for Content Aware Networks

The need for better adaptation of networks to transported flows has led to research on new approaches such as content aware networks and network aware applications. In parallel, recent developments of multimedia and content oriented services and applications such as IPTV, video streaming, video on demand, and Internet TV reinforced interest in multicast technologies. IP multicast has not been widely deployed due to interdomain and QoS support problems; therefore, alternative solutions have been investigated. This article proposes a management driven hybrid multicast solution that is multi-domain and media oriented, and combines overlay multicast, IP multicast, and P2P. The architecture is developed in a content aware network and network aware application environment, based on light network virtualization. The multicast trees can be seen as parallel virtual content aware networks, spanning a single or multiple IP domains, customized to the type of content to be transported while fulfilling the quality of service requirements of the service provider.

Decision Support Concerning Demand Response Programs Design and Use – A Conceptual Framework and Simulation Tool

Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate business models and by inadequate demand response programs management. This paper contributes to developing methodologies and a computational infrastructure able to provide the involved players with adequate decision support on demand response programs and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented.

Adaptive learning in agents behaviour: A framework for electricity markets simulation

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 (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. This paper presents a methodology to provide decision support to electricity market negotiating players. This model allows integrating different strategic approaches for electricity market negotiations, and choosing the most appropriate one at each time, for each different negotiation context. This methodology is integrated in ALBidS (Adaptive Learning strategic Bidding System) – a multiagent system that provides decision support to MASCEM's negotiating agents so that they can properly achieve their goals. ALBidS uses artificial intelligence methodologies and data analysis algorithms to provide effective adaptive learning capabilities to such negotiating entities. The main contribution is provided by a methodology that combines several distinct strategies to build actions proposals, so that the best can be chosen at each time, depending on the context and simulation circumstances. The choosing process includes reinforcement learning algorithms, a mechanism for negotiating contexts analysis, a mechanism for the management of the efficiency/effectiveness balance of the system, and a mechanism for competitor players' profiles definition.

An enzymatic route to a benzocarbazole framework using bacterial CotA laccase

The CotA laccase-catalysed oxidation of the meta, para-disubstituted arylamine 2,4-diaminophenyldiamine delivers, under mild reaction conditions, a benzocarbazole derivative (1) (74% yield), a key structural motif of a diverse range of applications. This work extends the scope of aromatic frameworks obtained using these enzymes and represents a new efficient and clean method to construct in one step C-C and C-N bonds.

Políticas e programas de saúde

Apresentação realizada no seminário do Centro de Estudos Transdisciplinares para o Desenvolvimento da Universidade de Trás-os-montes e Alto Douro, em Vila Real a 20 de maio de 2010

Knowledge management in higher education institutions: a framework to improve collaboration

The purpose of this paper is to present a framework that increases knowledge sharing and collaboration in Higher Education Institutions. The paper discusses the concept of knowledge management in higher education institutions, presenting a systematization of knowledge practices and tools to linking people (students, teachers, researchers, secretariat staff, external entities)and promoting the knowledge sharing across several key processes and services in a higher education institution, such as: the research processes, learning processes, student and alumni services, administrative services and processes, and strategic planning and management. The framework purposed in this paper aims to improve knowledge practices and processes which facilitate an environment and a culture of knowledge collaboration,sharing and discovery that should characterize an institution of higher education.

Hyperspectral imagery framework for unmixing and dimensionality estimation

In hyperspectral imagery a pixel typically consists mixture of spectral signatures of reference substances, also called endmembers. Linear spectral mixture analysis, or linear unmixing, aims at estimating the number of endmembers, their spectral signatures, and their abundance fractions. This paper proposes a framework for hyperpsectral unmixing. A blind method (SISAL) is used for the estimation of the unknown endmember signature and their abundance fractions. This method solve a non-convex problem by a sequence of augmented Lagrangian optimizations, where the positivity constraints, forcing the spectral vectors to belong to the convex hull of the endmember signatures, are replaced by soft constraints. The proposed framework simultaneously estimates the number of endmembers present in the hyperspectral image by an algorithm based on the minimum description length (MDL) principle. Experimental results on both synthetic and real hyperspectral data demonstrate the effectiveness of the proposed algorithm.