Abstract
The autonomous robotic system accurate localization is a challenging step in robot navigation field once the mobile device should avoid dangerous situations, such as unsafe conditions and collisions. In this context, the present paper proposes a localization method using the Extended Kalman Filter (EKF) to fuse the information coming from two different sensors (i.e. odometry and computer vision). The localization results present with known and unknown starting points and are tested in a simulated environment. © 2018 IEEE.

Abstract
The present paper aims to present a synthesis of the knowledge already accumulated on the relation between physical exercise and states of humor. Very few studies on physical activity and physical exercise have examined mood or emotion in the perspective of a contemporary theory of emotions. It has yet to be unequivocally demonstrated that acute exercise of the type commonly practiced for leisure or fitness alters emotional responses. The reasons why many people decide to adopt exercise include weight loss and health benefits, including changes in mood states. Adoption of a life healthy style based on physical exercise involves time and a considerable effort in the short term, and visible results do not occur immediately, but rather after a long period of time (months). Advanced motives for exercising have included humor as a factor and, in fact, humor continues to play a significant, conceptually meaningful role as a reason for people to exercise.

Abstract
Resumo O abandono escolar é um problema complexo que afeta a maioria dos programas de graduação pós-secundária, em todo o mundo. O curso de engenharia industrial do Instituto ISVOUGA, localizado em Santa Maria da Feira, Portugal, não é exceção. Este estudo usou um conjunto de dados contendo informações gerais dos estudantes e suas notas para as unidades curriculares já avaliadas. A partir deste conjunto de dados, foram selecionados dezessete preditores potenciais: cinco intrínsecos (gênero, estado civil, situação profissional, idade e regime de dedicação aos estudos – integral ou parcial) e doze extrínsecos (as notas em todas as doze unidades curriculares ministradas durante os dois primeiros semestres do curso). O objetivo principal desta investigação foi prever a probabilidade de um estudante abandonar o curso com base nos referidos preditores. Foi usada uma regressão logística binária para classificar os estudantes como tendo uma probabilidade alta ou baixa de não se reinscreverem no curso. Para validar se a metodologia utilizada é apropriada para o estudo em causa, a precisão obtida com o modelo de regressão logística foi comparada, por via de uma validação cruzada com cinco partições, com a precisão obtida pela utilização de três métodos muito utilizados em data mining: One R, K Nearest Neighbors e Naive Bayes. O modelo de regressão logística identificou quatro variáveis significativas na previsão do abandono escolar (as classificações nas unidades curriculares de ciência dos materiais, eletricidade, cálculo 1 e química). Os dois preditores mais influentes do abandono dos estudantes são não conseguir aprovação nas unidades curriculares menos exigentes: ciência dos materiais e eletricidade. Ao contrário do que seria de supor antes desta investigação, descobrimos que a não aprovação em unidades curriculares mais exigentes, como física ou estatística, não tem influência significativa no abandono escolar.

Abstract
The current availability of large volumes of health care data makes it a promising data source to new views on disease interaction. Most of the times, patients have multiple diseases instead of a single one (also known as multimorbidity), but the small size of most clinical research data makes it hard to impossible to investigate this issue. In this paper, we propose a latent-based approach to expand patient evolution in temporal electronic health records, which can be uninformative due to its very general events. We introduce the notion of clusters of hidden states allowing for an expanded understanding of the multiple dynamics that underlie events in such data. Clusters are defined as part of hidden Markov models learned from such data, where the number of hidden states is not known beforehand. We evaluate the proposed approach based on a large dataset from Dutch practices of patients that had events on comorbidities related to atherosclerosis. The discovered clusters are further correlated to medical-oriented outcomes in order to show the usefulness of the proposed method.

Abstract

Abstract
The security of systems and networks is a multidisciplinary challenge of increasingly importance which has stimulated the development of multiple solutions for an effective response to the requirements that are needed. In pursuing this demand much of the focus of security proposals has focused on ensuring mechanisms that prevent organizations from being attacked from outside their perimeter. However, the evolution of the tasks carried out by the internal organizations collaborators, which demand an increasing degree of use of computational resources and privileged access to multiple sources of information, emerge an increasing concern in the monitoring of the behaviours of the users. In addition to this problem, there is often an ill-defined borderline confusion over what internal workers should be able to do with the resources they have in organizations. The mix between strictly professional use and personal use can be problematic in organization's security context. Define organizations security policies, understand user' behaviours, act effectively over security incidents and promote users' organizational security culture, by a pedagogical approach seems to us to be a necessary advance in security frameworks nowadays. This paper presents a reflection on the aspects of internal security of Local Area Networks and proposes a conceptual security framework, which aims to contribute to an effective control and understanding of LANs user' behaviour, to a real-time response to unwanted occurrences but, especially, to a pedagogical approach to help the development of users' security culture.