O papel do educador na promoção do envolvimento parental: uma reflexão

Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

A importância dos diferentes membros da equipa educativa na inclusão de uma criança com necessidades educativas especiais

Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

O diário de turma no 4º ano de escolaridade

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

O envolvimento familiar na vida escolar dos alunos

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

A perceção da articulação entre sistemas do corpo humano em alunos do 3.º ano de escolaridade

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

Os estereótipos de género no jardim de infância

Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

Semi-destructive in situ tests as support to the assessment of a conservation process

This paper refers to the assessment on site by semi-destructive testing (SDT) methods of the consolidation efficiency of a conservation process developed by Henriques (2011) for structural and non-structural pine wood elements in service. This study was applied on scots pine wood (Pinus sylvestris L.) degraded by fungi after treatment with a biocidal product followed by consolidation with a polymeric product. This solution avoids substitutions of wood moderately degraded by fungi, improving its physical and mechanical characteristics. The consolidation efficiency was assessed on site by methods of drill resistance and penetration resistance. The SDT methods used showed good sensitivity to the conservation process and could evaluate their effectiveness. (C) 2015 Elsevier Ltd. All rights reserved.

Comparing clustering solutions: the use of adjusted paired indices

In the present paper we compare clustering solutions using indices of paired agreement. We propose a new method - IADJUST - to correct indices of paired agreement, excluding agreement by chance. This new method overcomes previous limitations known in the literature as it permits the correction of any index. We illustrate its use in external clustering validation, to measure the accordance between clusters and an a priori known structure. The adjusted indices are intended to provide a realistic measure of clustering performance that excludes agreement by chance with ground truth. We use simulated data sets, under a range of scenarios - considering diverse numbers of clusters, clusters overlaps and balances - to discuss the pertinence and the precision of our proposal. Precision is established based on comparisons with the analytical approach for correction specific indices that can be corrected in this way are used for this purpose. The pertinence of the proposed correction is discussed when making a detailed comparison between the performance of two classical clustering approaches, namely Expectation-Maximization (EM) and K-Means (KM) algorithms. Eight indices of paired agreement are studied and new corrected indices are obtained.

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

Clustering aplicado à Bolsa de Valores de Lisboa

O objetivo desta dissertação foi estudar um conjunto de empresas cotadas na bolsa de valores de Lisboa, para identificar aquelas que têm um comportamento semelhante ao longo do tempo. Para isso utilizamos algoritmos de Clustering tais como K-Means, PAM, Modelos hierárquicos, Funny e C-Means tanto com a distância euclidiana como com a distância de Manhattan. Para selecionar o melhor número de clusters identificado por cada um dos algoritmos testados, recorremos a alguns índices de avaliação/validação de clusters como o Davies Bouldin e Calinski-Harabasz entre outros.

Osmolality of Elemental and Semi-Elemental Formulas Supplemented with Nonprotein Energy Supplements

Elemental and semi-elemental formulas are used to feed infants with short bowel syndrome, who may not be able to tolerate feeds of more than 310 mOsm kg(-1). The present study aimed to measure the osmolality of elemental and semi-elemental formulas at different concentrations, with and without the addition of nonprotein energy supplements.

Contra os semi-sábios — notas sobre a racionalidade nos Pensamentos de Pascal

Ao longo dos Pensamentos, Pascal expressa a sua antipatia filosófica por alguns tipos de pensadores. Um desses tipos de pensadores corresponde à figura do "demi-savant". Os "demi-savants", ou semi-sábios, caracterizam-se essencialmente por uma pretensão de saber fracassada: são homens que julgam estar na posse de um saber que na verdade não possuem. O objectivo desta investigação é fixar, com o maior detalhe possível, o que está em causa na denúncia dos semi-sábios — um aspecto pouco trabalhado no âmbito dos estudos sobre o pensamento de Pascal. A primeira parte da investigação consiste assim na delimitação formal da categoria semi-sábios. Quais são as notas definitórias destes pensadores? Que tipo de erro está em jogo na sua atitude? Que opiniões fazem de alguém um semi-sábio? Estas perguntas acabam rapidamente por nos levar a outras, que dizem directamente respeito à tentativa de determinação do poder de fogo da razão humana. Com efeito, o fundamento filosófico da crítica aos semi-sábios é o diagnóstico arrasador que Pascal faz da capacidade da nossa razão na tarefa do conhecimento — de tal modo que estudar o problema que os semi-sábios representam é estudar sob um determinado ângulo o problema geral da procura da verdade. Nesse sentido, depois de esclarecido o significado da designação semi-sábio, analisamos dois argumentos apresentados nos Pensamentos que visam contestar a compreensão habitualmente constituída acerca das possibilidades do homem na tarefa do conhecimento. Procuramos ainda, por último, desfazer possíveis equívocos quanto à fixação da posição de Pascal no campo da epistemologia. Embora haja poucas referências aos semi-sábios nos textos que compõem os Pensamentos, trata-se de uma figura que funciona como ponto de cruzamento de vários aspectos relevantes de um problema que está no centro do projecto apologético de Pascal: o problema do modo de apuramento da verdade.

Pair trading: Clustering based on principal component analysis

This study focuses on the implementation of several pair trading strategies across three emerging markets, with the objective of comparing the results obtained from the different strategies and assessing if pair trading benefits from a more volatile environment. The results show that, indeed, there are higher potential profits arising from emerging markets. However, the higher excess return will be partially offset by higher transaction costs, which will be a determinant factor to the profitability of pair trading strategies. Also, a new clustering approach based on the Principal Component Analysis was tested as an alternative to the more standard clustering by Industry Groups. The new clustering approach delivers promising results, consistently reducing volatility to a greater extent than the Industry Group approach, with no significant harm to the excess returns.

The reasons behind the progression in PISA scores: An education production function approach using semi-parametric techniques

Research Masters

Segmentation and Clustering of Textual Sequences: a Typological Approach

The long term goal of this research is to develop a program able to produce an automatic segmentation and categorization of textual sequences into discourse types. In this preliminary contribution, we present the construction of an algorithm which takes a segmented text as input and attempts to produce a categorization of sequences, such as narrative, argumentative, descriptive and so on. Also, this work aims at investigating a possible convergence between the typological approach developed in particular in the field of text and discourse analysis in French by Adam (2008) and Bronckart (1997) and unsupervised statistical learning.