Conditioning information in mutual fund performance evaluation: Portuguese evidence

We estimate and compare the performance of Portuguese-based mutual funds that invest in the domestic market and in the European market using unconditional and conditional models of performance evaluation. Besides applying both partial and full conditional models, we use European information variables, instead of the most common local ones, and consider stochastically detrended conditional variables in order to avoid spurious regressions. The results suggest that mutual fund managers are not able to outperform the market, presenting negative or neutral performance. The incorporation of conditioning information in performance evaluation models is supported by our findings, as it improves the explanatory power of the models and there is evidence of both time-varying betas and alphas related to the public information variables. It is also shown that the number of lags to be used in the stochastic detrending procedure is a critical choice, as it will impact the significance of the conditioning information. In addition, we observe a distance effect, since managers who invest locally seem to outperform those who invest in the European market. However, after controlling for public information, this effect is slightly reduced. Furthermore, the results suggest that survivorship bias has a small impact on performance estimates.

Shopping for apparel: how can kiosk systems help?

When shopping for apparel, many consumers seek advice from friends and family or store personnel. In-store kiosk systems might serve as an alternative decision support system. In the present study we address the key question of how such kiosk systems are evaluated by consumers. We conducted three focus group discussions with regular apparel shoppers aged between 23 and 39 years. In sum, qualitative information from 15 participants was subject to a qualitative content analysis with the aim of gaining a more comprehensive understanding of how apparel shoppers experience the shopping process. Getting a more in-depth understanding of the needs and wishes associated with the apparel shopping process gives a basis for evaluating the potential acceptance of electronic decision support systems in apparel shopping. Although our study is exploratory in nature, we are able to draw an initial picture of how kiosk systems could be used in apparel shopping.

Aprendizagem Cooperativa : um contributo para a diferenciação pedagógica inclusiva

A dissertação incidiu na diferenciação pedagógica inclusiva, especificamente, num grupo/turma com diferentes anos de escolaridade, com aprendizagens diferentes, e alunos com Necessidades Educativas Especiais (NEE) de índole comportamental e cognitivo, tendo como objectivo constituir alternativa ao problema. As professoras titulares de turma e de educação especial, em cooperação, planificaram e implementaram este estudo, cujo ponto de partida consistia em promover o desenvolvimento pessoal e social, tendo por base um livro pertencente ao Plano Nacional de Leitura (PNL). Foram desenvolvidas estruturas cooperativas de forma a melhorar comportamentos e aprendizagens em todos os alunos e em especial dos alunos com NEE. Neste processo de observação e reflexão, a experiência foi conceptualizada e analisada com o objectivo de contribuir para a mudança. A análise de dados do trabalho individual e de grupo dos alunos, onde se inferiu uma maior ajuda, autonomia, responsabilidade, envolvimento e interesse, pelas actividades, permitiu-nos verificar que os objectivos foram alcançados na sua maioria O estudo permitiu evidenciar a diminuição de conflitos comportamentais, contribuindo para um clima de entreajuda englobando todos os alunos, onde a partilha de conhecimentos coadjuvou para melhorar as aprendizagens de todos.

How can we help students to improve their creativity? – lessons learned from a case study

One of the main concerns of today’s organizations is to cope with the rapid pace of change while maintaining their competitive advantage. This means that firms must be innovative, create new knowledge and have new ideas constantly. Similarly, one of the main concerns of lecturers is to help students to develop creativity. According to some authors, new ideas, new thoughts, innovation can arise in an appropriate environment and with the development and train of adequate competences and skills. This means that although some persons were born more creative than others, it is possible to help those less creative to improve their innovative capacities and competences. The question that remains now is “how”. How can we, as lecturers and educators help our students to become more creative? In this paper we describe a Portuguese case study that took place at ISCAP (School of Accountancy and Administration of Porto – Portugal), in the course of Business Communication, in the unit “Marketing Communication” (3rd year (1st Bologna cycle), 1st semester). We will describe and characterize the situation at the beginning of the semester (situation A), explain the tasks and activities proposed to students and the final result (situation A2). We will discuss differences between situation A and A2, formulate some hypotheses concerning differences and draw some recommendations.

Can power laws help us understand gene and proteome information?

Proteins are biochemical entities consisting of one or more blocks typically folded in a 3D pattern. Each block (a polypeptide) is a single linear sequence of amino acids that are biochemically bonded together. The amino acid sequence in a protein is defined by the sequence of a gene or several genes encoded in the DNA-based genetic code. This genetic code typically uses twenty amino acids, but in certain organisms the genetic code can also include two other amino acids. After linking the amino acids during protein synthesis, each amino acid becomes a residue in a protein, which is then chemically modified, ultimately changing and defining the protein function. In this study, the authors analyze the amino acid sequence using alignment-free methods, aiming to identify structural patterns in sets of proteins and in the proteome, without any other previous assumptions. The paper starts by analyzing amino acid sequence data by means of histograms using fixed length amino acid words (tuples). After creating the initial relative frequency histograms, they are transformed and processed in order to generate quantitative results for information extraction and graphical visualization. Selected samples from two reference datasets are used, and results reveal that the proposed method is able to generate relevant outputs in accordance with current scientific knowledge in domains like protein sequence/proteome analysis.

Cão de Fila de S. Miguel : património cultural imaterial

Dissertação de Mestrado, Património, Museologia e Desenvolvimento, 2 de Outubro de 2015, Universidade dos Açores.

Can ERASMUS mobility really help crossing borders? the in and out of a case-study

As lectures, but above all, as Erasmus....

Analysis and visualization of seismic data using mutual information

Seismic data is difficult to analyze and classical mathematical tools reveal strong limitations in exposing hidden relationships between earthquakes. In this paper, we study earthquake phenomena in the perspective of complex systems. Global seismic data, covering the period from 1962 up to 2011 is analyzed. The events, characterized by their magnitude, geographic location and time of occurrence, are divided into groups, either according to the Flinn-Engdahl (F-E) seismic regions of Earth or using a rectangular grid based in latitude and longitude coordinates. Two methods of analysis are considered and compared in this study. In a first method, the distributions of magnitudes are approximated by Gutenberg-Richter (G-R) distributions and the parameters used to reveal the relationships among regions. In the second method, the mutual information is calculated and adopted as a measure of similarity between regions. In both cases, using clustering analysis, visualization maps are generated, providing an intuitive and useful representation of the complex relationships that are present among seismic data. Such relationships might not be perceived on classical geographic maps. Therefore, the generated charts are a valid alternative to other visualization tools, for understanding the global behavior of earthquakes.

Scheduling sporadic tasks on multiprocessors with mutual exclusion constraints

Consider the problem of scheduling sporadic tasks on a multiprocessor platform under mutual exclusion constraints. We present an approach which appears promising for allowing large amounts of parallel task executions and still ensures low amounts of blocking.

Design and implementation of an autonomous, proactive, and reactive software infrastructure to help improving the management level of projects

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Trabalho colaborativo entre professores para integração curricular no 1º ciclo do ensino básico: um contributo para melhoria das planificações pedagógicas em S.Tomé e Príncipe

Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção do grau de mestre em Didáticas Integradas em Língua Portuguesa, Matemática, Ciências Naturais e Sociais

KM and politics at the highest level: an exploratory analysis

This paper analyzes Knowledge Management (KM) as a political activity, made by the great political leaders of the world. We try to inspect if at the macro political level KM is made, and how. The research is interesting because given that we live in a Knowledge society, in the Information Era, it is more or less obvious that the political leaders should also do KM. However we don’t know of any previous study on KM and world leaders and this paper wants to be a first step to fill that gap. As a methodology we use literature review: given this one is a first preliminary study we use data we found in the Internet and other databases like EBSCO. We divide the analysis in two main parts: theoretical ideas first, and an application second. The second part is it self divided in two segments: the past and the present times. We find that rather not surprisingly, KM always was and is pervasive in the activity of the world leaders, and has become more and more diverse has power itself became to be more and more disseminated in the world. The study has the limitation of relying on insights and texts and not on interviews. But we believe it is very interesting to make this kind of analysis and such studies may help improving the democracies in the world.

Evolution of subpatent parasitaemia in Trypanosoma cruzi chronically infected mice with the help of a cyclophosphamide amplification transfer assay

We have evaluated the sensitivity of the classical blood subinoculation method, modified through cyclophosphamide treatment of transferred mice, for the detection of occult parasitaemias in Trypanosoma cruzi chronically infected mice. Besides its simplicity, the method was shown to be highly sensitive for both the "chronic" phase parasites (99% of chronic cases were shown to harbour occult parasitaemias) and for the acute phase parasites (T. cruzi could be detected in 53.8% of animals transferred with one Y strain parasite and in 20% of animals transferred with one CL strain parasite). Using acute phase bloodforms, the assay proved to be more sensitive than conventional subinoculation when dealing with the CL, but not the Y strain of the parasite. With the help of this parasite detection tool, we have studied during a one year period, the evolution of subpatent parasitaemias in a group of mice which survived through chemotherapy from lethal acute phase of T. cruzi infection. Cyclophosphamide transfer assay revealed occult parasitaemias in 100% of the chronic animals, nevertheless, continuous and discontinuous patterns of positivity were observed.

Feature Discretization with Relevance and Mutual Information Criteria

Feature discretization (FD) techniques often yield adequate and compact representations of the data, suitable for machine learning and pattern recognition problems. These representations usually decrease the training time, yielding higher classification accuracy while allowing for humans to better understand and visualize the data, as compared to the use of the original features. This paper proposes two new FD techniques. The first one is based on the well-known Linde-Buzo-Gray quantization algorithm, coupled with a relevance criterion, being able perform unsupervised, supervised, or semi-supervised discretization. The second technique works in supervised mode, being based on the maximization of the mutual information between each discrete feature and the class label. Our experimental results on standard benchmark datasets show that these techniques scale up to high-dimensional data, attaining in many cases better accuracy than existing unsupervised and supervised FD approaches, while using fewer discretization intervals.