Desenvolvimento da fluência no cálculo mental através do uso de estratégias de cálculo: um estudo no 4.º e no 6.º ano de escolaridade

Relatório de estágio de mestrado em Ensino do 1º e 2º Ciclo do Ensino Básico

Adult learning and education policies in Germany, Portugal and Sweden: An analysis of national reports to CONFINTEA VI

The chapter presents a theoretical proposal of three analytical models of Adult Learning and Education (ALE) policies. Some analytical categories and the corresponding dimensions are organised according to the ALE rationale which is typical of each social policy model. Historical, cultural and educational features are mentioned in connexion with the different policy models and its interpretative capacity to making sense of policies and practices implemented in Germany, Portugal and Sweden. !e analysis includes the states of the art and the official representations of ALE produced by the respective national authorities through national reports which were presented to CONFINTEA VI (2009).

An integrated system for human action recognition from video using hidden Markov model

In this paper, we present an integrated system for real-time automatic detection of human actions from video. The proposed approach uses the boundary of humans as the main feature for recognizing actions. Background subtraction is performed using Gaussian mixture model. Then, features are extracted from silhouettes and Vector Quantization is used to map features into symbols (bag of words approach). Finally, actions are detected using the Hidden Markov Model. The proposed system was validated using a newly collected real- world dataset. The obtained results show that the system is capable of achieving robust human detection, in both indoor and outdoor environments. Moreover, promising classification results were achieved when detecting two basic human actions: walking and sitting.

An agent-based model to assess the attractiveness of industrial estates

This article describes the main approaches adopted in a study focused on planning industrial estates on a sub-regional scale. The study was supported by an agent-based model, using firms as agents to assess the attractiveness of industrial estates. The simulation was made by the NetLogo toolkit and the environment represents a geographical space. Three scenarios and four hypotheses were used in the simulation to test the impact of different policies on the attractiveness of industrial estates. Policies were distinguished by the level of municipal coordination at which they were implemented and by the type of intervention. In the model, the attractiveness of industrial estates was based on the level of facilities, amenities, accessibility and on the price of land in each industrial estate. Firms are able to move and relocate whenever they find an attractive estate. The relocating firms were selected by their size, location and distance to an industrial estate. Results show that a coordinated policy among municipalities is the most efficient policy to promote advanced-qualified estates. In these scenarios, it was observed that more industrial estates became attractive, more firms were relocated and more vacant lots were occupied. Furthermore, the results also indicate that the promotion of widespread industrial estates with poor-quality infrastructures and amenities is an inefficient policy to attract firms.

The role of Pep4p, the vacuolar yeast protease ortholog of human cathepsin D, in mitochondria-dependent apoptosis

Doctoral Thesis (PhD Programm on Molecular and Environmental Biology)

Relação entre regulação das ordens profissionais e gestão jurisdicional dos profissionais de contabilidade: estudo comparado entre Portugal e o Brasil

Tese de Doutoramento em Ciência da Administração

Off-line simulation inspires insight: a neurodynamics approach to efficient robot task learning

There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner.

Suporte social em cuidadores informais de dependentes de substâncias.

Os cuidadores informais têm de lidar com situações potencialmente causadoras de stress e Sobrecarga. Uma amostra com 120 cuidadores de Dependentes de Substâncias, residentes em Portugal, completou uma bateria de questionários que incluía o BDI (Beck, Ward, Mendelson, Mock, & Erbaugh, 1961; McIntyre & Araújo-Soares, 1999), BSI (Canavarro, 1999; Derogatis, 1975, 1993), CRA (Given, et al., 1992), WHOQOL – Bref (Fleck, 2000; Vaz Serra, et al., 2006) e o IESSS (Ensel & Woelfel, 1986; Faria, 1999). De seguida, os participantes foram distribuídos por três grupos (G1, G2 e G3), dependendo do tempo de abstinência do familiar a quem prestavam cuidados. O estudo explorou a relação entre diversas variáveis clínicas e psicológicas e o suporte social nesses cuidadores. Os resultados revelaram que a coabitação com o paciente, o distress psicológico, a qualidade de vida (relações sociais e psicológica) e a sobrecarga são preditores, do suporte social explicando 48% da variância observada. O modelo de mediação demonstrou que o suporte social é um mediador parcial da relação entre o distress e a sobrecarga, explicando 60% da variância observada. Deste modo, verifica-se a importância de intervir no suporte social no sentido de diminuir o impacto do distress e sobrecarga nos cuidadores.

“PhenoWorld”: a new multidimensional strategy for studying behaviour in rodents

Tese de Doutoramento em Ciências da Saúde

Nanotechnological approaches using curcumin and Withania somnifera: neuroprotection and antimicrobial activities

Tese de Doutoramento em Biologia de Plantas

Redes sociais como ferramenta para a divulgação de ações de responsabilidade social corporativa: o estudo de caso da TOMS

Relatório de estágio de mestrado em Ciências da Comunicação (área de especialização em Publicidade e Relações Públicas)

The Pope’s encyclical as a call for democratic social change

(Excerto) By addressing the ideologies and practices of the social dynamics entwined with climate change, the encyclical exposes the profoundly political character of global environmental change and its connection with economics and culture. The publication of the encyclical is action in the public space via language oriented to persuasion which, in Hannah Arendt’s terms, is the very essence of politics.

Pre-clinical trials for Machado-Joseph Disease: Hypothesis-based and hypothesis-free therapeutic approaches

Tese de Doutoramento em Ciências da Saúde