Exercício físico e cancro da mama: uma revisão

Introdução – Os efeitos fisiológicos da atividade física e do treino são atualmente motivo de extensa investigação cujos resultados mostraram já de forma incontroversa os seus benefícios em diferentes condições clínicas. Diferentes estudos mostraram já os efeitos benéficos do exercício regular de intensidade leve a moderada na diminuição do risco de cancro, bem como na aptidão física de indivíduos portadores de cancro, submetidos ou não a cirurgia. A prescrição do exercício mais adequado para a sua maior eficácia na melhoria da aptidão física e para a diminuição da fadiga não é, no entanto, ainda consensual. O objetivo deste estudo foi o de rever o conhecimento atual sobre os benefícios do exercício físico em sobreviventes de cancro da mama, bem como sistematizar as linhas orientadoras atuais para a prescrição do exercício físico na referida população. Metodologia – Recorreu-se a uma revisão da literatura, tendo como base as palavras-chave: cancro da mama, sobreviventes de cancro da mama, risco de cancro, exercício físico, atividade física e treino, dando preferência a estudos que, na classificação de Oxford, correspondessem aos níveis I (ensaios clínicos randomizados e revisões sistemáticas) e II de evidência científica (ensaios clínicos não randomizados). Conclusão – Embora se reconheça que o exercício físico é benéfico para a população em geral e existam linhas orientadoras para a prescrição do exercício físico em indivíduos com cancro, estas não são ainda absolutamente consensuais, necessitando sempre de individualização no treino. A investigação em torno das questões que envolvem a adequada prescrição do exercício físico em indivíduos com ou em risco de desenvolver cancro é primordial. ABSTRACT - Introduction – Physiological effects of physical activity and training are currently subject of extensive research which has already showed uncontroversial benefits in different clinical conditions. Different studies have already shown the beneficial effects of mild to moderate regular exercise in decreasing cancer risk and increasing physical fitness of individuals suffering from cancer, undergoing surgery or not. However, the appropriate exercise prescription for greater efficacy in improving physical fitness and decreasing fatigue is not yet consensus. The aim of this study was to review current knowledge about the benefits of exercise on breast cancer survivors and systematize the existing guidelines for prescribing exercise in this population. Methodology – A literature review was conducted based on the keywords: breast cancer, breast cancer survivors, cancer risk, physical exercise, physical activity and training, giving preference to studies in the classification of Oxford corresponded to level I (randomized clinical trials and systematic reviews) and II (no randomized clinical trials) scientific evidence. Conclusion – Although it is recognized that exercise is beneficial for general population and that there are guidelines for exercise prescription for individuals with cancer, there is no absolute agreement and they constantly require individual adaptations in training. Research on issues involving the correct prescription of exercise for individuals with or at risk of developing cancer is vital.

Knowledge and technologies in innovative information systems

7th Mediterranean Conference on Information Systems, MCIS 2012, Guimaraes, Portugal, September 8-10, 2012, Proceedings Series: Lecture Notes in Business Information Processing, Vol. 129

The Role of lifelong learning in creation of a european knowledge-based society

The dominant discourse in education and training policies, at the turn of the millennium, was on lifelong learning (LLL) in the context of a knowledge-based society. As Green points (2002, pp. 611-612) several factors contribute to this global trend: The demographic change: In most advanced countries, the average age of the population is increasing, as people live longer; The effects of globalisation: Including both economic restructuring and cultural change which have impacts on the world of education; Global economic restructuring: Which causes, for example, a more intense demand for a higher order of skills; the intensified economic competition, forcing a wave of restructuring and creating enormous pressure to train and retrain the workforce In parallel, the “significance of the international division of labour cannot be underestimated for higher education”, as pointed out by Jarvis (1999, p. 250). This author goes on to argue that globalisation has exacerbated differentiation in the labour market, with the First World converting faster to a knowledge economy and a service society, while a great deal of the actual manufacturing is done elsewhere.

O empreendedorismo como fator dinamizador da competitividade regional: o papel do financiamento

Dissertação de Mestrado em Finanças Empresariais

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Symbolic Knowledge Extraction from Trained Neural Networks Governed by Lukasiewicz Logics

This work describes a methodology to extract symbolic rules from trained neural networks. In our approach, patterns on the network are codified using formulas on a Lukasiewicz logic. For this we take advantage of the fact that every connective in this multi-valued logic can be evaluated by a neuron in an artificial network having, by activation function the identity truncated to zero and one. This fact simplifies symbolic rule extraction and allows the easy injection of formulas into a network architecture. We trained this type of neural network using a back-propagation algorithm based on Levenderg-Marquardt algorithm, where in each learning iteration, we restricted the knowledge dissemination in the network structure. This makes the descriptive power of produced neural networks similar to the descriptive power of Lukasiewicz logic language, minimizing the information loss on the translation between connectionist and symbolic structures. To avoid redundance on the generated network, the method simplifies them in a pruning phase, using the "Optimal Brain Surgeon" algorithm. We tested this method on the task of finding the formula used on the generation of a given truth table. For real data tests, we selected the Mushrooms data set, available on the UCI Machine Learning Repository.

An intelligent tutoring approach to support students and technicians in electrical installation design

Designing electric installation projects, demands not only academic knowledge, but also other types of knowledge not easily acquired through traditional instructional methodologies. A lot of additional empirical knowledge is missing and so the academic instruction must be completed with different kinds of knowledge, such as real-life practical examples and simulations. On the other hand, the practical knowledge detained by the most experienced designers is not formalized in such a way that is easily transmitted. In order to overcome these difficulties present in the engineers formation, we are developing an Intelligent Tutoring System (ITS), for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.

Ontologies for reusing data cleaning knowledge

The emergence of new business models, namely, the establishment of partnerships between organizations, the chance that companies have of adding existing data on the web, especially in the semantic web, to their information, led to the emphasis on some problems existing in databases, particularly related to data quality. Poor data can result in loss of competitiveness of the organizations holding these data, and may even lead to their disappearance, since many of their decision-making processes are based on these data. For this reason, data cleaning is essential. Current approaches to solve these problems are closely linked to database schemas and specific domains. In order that data cleaning can be used in different repositories, it is necessary for computer systems to understand these data, i.e., an associated semantic is needed. The solution presented in this paper includes the use of ontologies: (i) for the specification of data cleaning operations and, (ii) as a way of solving the semantic heterogeneity problems of data stored in different sources. With data cleaning operations defined at a conceptual level and existing mappings between domain ontologies and an ontology that results from a database, they may be instantiated and proposed to the expert/specialist to be executed over that database, thus enabling their interoperability.

An architecture for ambient intelligent environments

This paper presents the proposal of an architecture for developing systems that interact with Ambient Intelligence (AmI) environments. This architecture has been proposed as a consequence of a methodology for the inclusion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Systems Research for Ambient Intelligence). The ISyRAmI architecture considers several modules. The first is related with the acquisition of data, information and even knowledge. This data/information knowledge deals with our AmI environment and can be acquired in different ways (from raw sensors, from the web, from experts). The second module is related with the storage, conversion, and handling of the data/information knowledge. It is understood that incorrectness, incompleteness, and uncertainty are present in the data/information/knowledge. The third module is related with the intelligent operation on the data/information/knowledge of our AmI environment. Here we include knowledge discovery systems, expert systems, planning, multi-agent systems, simulation, optimization, etc. The last module is related with the actuation in the AmI environment, by means of automation, robots, intelligent agents and users.

Instrumentos de apoio à gestão estratégica e ao desempenho organizacional dos fisioterapeutas em unidades privadas de fisioterapia

Mestrado em Intervenção Sócio-Organizacional na Saúde - Área de especialização: Políticas de Administração e Gestão de Serviços de Saúde.

Tópicos da teoria da relatividade

Dissertação de Mestrado, Matemática para Professores, 25 de Outubro 2013, Universidade dos Açores.

Os projetos educativos enquanto manifestações da identidade das instituições e as suas implicações no estabelecimento de parcerias

Dissertação de Mestrado, Educação Pré-Escolar e Ensino do 1º Ciclo do Ensino Básico, 28 de Janeiro de 2013, Universidade dos Açores (Relatório de Estágio).

Auto-regulação na gestão de conflitos em retalho

Mestrado em Engenharia Informática

Percurso pedestre no Rio Este: contribuição para a educação ambiental e promoção do ensino experimental

O ensino praticado nas nossas escolas necessita ser mais consentâneo com os princípios e valores veiculados pela Educação Ambiental. Pretende-se, com este trabalho, levar os alunos a percepcionar a natureza com um olhar diferente, a estabelecer uma nova relação com o meio, adoptando uma postura pró-activa na defesa do espaço ribeirinho. Por meio de um percurso investigativo ao longo da margem esquerda de um troço do rio Este, na zona envolvente da Escola, os alunos de uma turma do 5º ano estudaram a flora autóctone existente na zona ribeirinha e recolheram amostras de água onde puderam aplicar processos de tratamento. Os temas abordados pertencem aos conteúdos leccionados nas aulas de Ciências da Natureza. Considerando que estas actividades podem ser importantes ferramentas na educação para o ambiente, elaborou-se para o grupo experimental um caderno de campo, que serviu de orientação ao estudo da flora, realizou-se uma actividade prática no laboratório, com a amostra da água recolhida. Posteriormente aplicou-se um teste, para conhecer o grau de conhecimento adquirido após a actividade e, no final, os alunos responderam a um inquérito para se conhecer o seu grau de satisfação. Ainda que os resultados do teste não mostrem diferenças significativas na aquisição de conhecimento em relação à turma não participante no projecto, a interpretação da paisagem mostrou-se um meio eficaz de envolver os alunos, desenvolver sensibilidades, construir conceitos, promover atitudes positivas que vão de encontro a uma Educação Ambiental ligada à cidadania.