Proposta para a introdução do Karate – Do no programa de Educação Física para o ensino secundário em Cabo Verde.

Esta investigação em opção ao título de Bacharel em Educação Física vai dirigida a todos que se preocupem com o desenvolvimento integral dos nossos educandos, especialmente aos professores de Educação Física, realçando os valores e as potencialidades humanas que se pretenda cultivar de modo que no futuro venhamos a ter intervenientes mais responsáveis, activos e criativos, precavendo dos males que aflijam a nossa sociedade. Nesta perspectiva, pretende-se lançar as bases para a introdução do Karaté – Do no Programa de Educação Física para o ensino secundário em Cabo Verde, sugerindo desta forma o nosso campo de investigação. Além da análise documental, ainda se utilizou como metodologia o questionário que corresponde, de modo genérico, ao estudo prático, parte relevante desta investigação. Para a realização deste estudo serviram de amostra, um total de dezasseis escolas, onde foram inqueridas cinquenta e dois professores de Educação Física e cento e três alunos com o objectivo de analisar as condições materiais e humanas assim como as opiniões acerca da introdução do Karate-Do no programa de Educação Física. É de se registar que nas diferentes escolas Secundárias de Cabo Verde encontrámos professores e alunos que já praticaram o Karate-Do, alguns ainda o praticam e têm interesse que essa matéria seja introduzida no programa, contabilizando 91.2% dos alunos e 88.8% dos professores compartilham a mesma opinião quanto a esse respeito. A falta de conhecimento do Karate-Do por parte de alguma percentagem dos professores e dos recursos materiais não constituem elementos impeditivos para que essa proposta de introdução do Karate-Do no programa de Educação Física mereça a atenção desejável, prevalecendo o interesse e as opiniões dos educadores e dos educandos. Contudo isso, exige a elaboração de um programa de Karate-Do e um plano de estudo para que se alcance o sucesso na sua introdução no programa de Educação Física em Cabo Verde

Some considerations on the estimation of the value associated to a clinical act

The assignment of a value to any economic system, especially in healthcare management, is the topic of this article. The assignment of a value to a clinical act is a very complex process, as it joins the complexity of estimating value in an economic system with the estimation of the value of well-being. An interdisciplinary approach joining disciplines such as Philosophy, Business, Psychology and Physics is used to analyse the assignment of a value; and it is obtained that it is necessary the integrated use of three concepts; viz., Truth, Good, and Beauty. It is also obtained that the concept of Beauty has the biggest difficulty in being computationally represented, and that to achieve such representation it is necessary the use of Statistical Philosophy, a here-proposed branch of the Philosophy of Information. Moreover, it is obtained that value is made of three types of value; viz., Truth-value, Good-value, and Beauty-value. Finally, it is made an assessment of the difficulty in choosing the appropriate necessary projection of the 3-vector value into a worthiness-scalar, a projection that is necessary because the choice of a best option, e.g. a best clinical act, always requires that the option is quantified by a scalar. (C) 2020 The Authors. Published by Elsevier B.V.NFL thanks Eduarda Sousa for support. Thanks to Sandra Lori for the drawings. All the funding was provided by FCT (Fundacao para a Ciencia e a Tecnologia): NFL was funded by a fellowship of project MEDPERSYST-POCI01-0145-FEDER-016428 and by the INESC-ID multiannual funding from the PIDDAC program (UID/CEC/50021/2020); and the work of both JN and VA has been supported within the project scope of UID/CEC/00319/2020

A Smart Approach to Harvest Date Forecasting

The concept of grape ripeness depends not only on the degree of enrichment of the chemical compounds in the grape and the volume of the berries, but also on the possible production purposes. The different types of maturation in individual cases are not sufficient for the decision on the harvest date. Taken together, however, they define oenological maturation times and help to harvest them. However, there are no consistent studies that correlate the chemical parameters obtained from must analysis and oenological maturation due to the nonlinearity of these two types of variables. Therefore, this work seeks to create a self-explanatory model that allows for the prediction of ideal harvest time, based on eneological parameters related to practices in new developments in knowledge acquisition and management in relational databases

Uma abordagem multi-agente ao ensino médico utilizando a Web

O ensino baseado na Web, utilizando Sistemas Tutoriais Inteligentes (STIs), é considerado um dos mais bem sucedidos empreendimentos da Inteligência Artificial. Na verdade, há uma longa lista de STIs já testados e que demonstraram facilitar o processo de aprendizagem, entre os quais se encontram os que respondem por disciplinas como a Álgebra, Geometria, Línguas e Informática. Estes STIs utilizam uma grande variedade de paradigmas computacionais, tais como Sistemas de Produção, Redes Bayesianas, Esquemas de Templates, Prova de Teoremas, e/ou Raciocínio Baseado em Casos. Espera-se, por conseguinte, que a próxima geração de STIs vá um pouco mais longe, adoptando não só interfaces inteligentes, mas centrando-se na integração de sistemas. Neste artigo iremos abordar algumas das particularidades de um sistema tutorial que se está a desenvolver na área médica, que permite a integração de fontes de informação altamente heterogêneas numa base de conhecimento coerente, tanto do ponto de vista do tutor, como das unidades temáticas em si, ou seja, os conteúdos do sistema são criados de forma dinâmica pelos médicos e restantes profissionais em saúde, no seu labor do dia-a-dia. Isto passa por se aproveitar o normal funcionamento das unidades de saúde para construir, em tempo real, uma base de conhecimento de casos e de dados para fins de investigação e ensino

Web-based medical teaching using a multi-agent system

Web-based teaching via Intelligent Tutoring Systems (ITSs) is considered as one of the most successful enterprises in artificial intelligence. Indeed, there is a long list of ITSs that have been tested on humans and have proven to facilitate learning, among which we may find the well-tested and known tutors of algebra, geometry, and computer languages. These ITSs use a variety of computational paradigms, as production systems, Bayesian networks, schema-templates, theorem proving, and explanatory reasoning. The next generation of ITSs are expected to go one step further by adopting not only more intelligent interfaces but will focus on integration. This article will describe some particularities of a tutoring system that we are developing to simulate conversational dialogue in the area of Medicine, that enables the integration of highly heterogeneous sources of information into a coherent knowledge base, either from the tutor’s point of view or the development of the discipline in itself, i.e. the system’s content is created automatically by the physicians as their daily work goes on. This will encourage students to articulate lengthier answers that exhibit deep reasoning, rather than to deliver straight tips of shallow knowledge. The goal is to take advantage of the normal functioning of the health care units to build on the fly a knowledge base of cases and data for teaching and research purposes

An Artificial Intelligence Approach to Individuals' Age Assessment

A link between patterns of pelvic growth and human life history is supported by the finding that, cross-culturally, variation in maturation rates of female pelvis are correlated with variation in ages of menarche and first reproduction, i.e., it is well known that the human dimensions of the pelvic bones depend on the gender and vary with the age. Indeed, one feature in which humans appear to be unique is the prolonged growth of the pelvis after the age of sexual maturity. Both the total superoinferior length and mediolateral breadth of the pelvis continues to grow markedly after puberty, and do not reach adult proportions until the late teens years. This continuation of growth is accomplished by relatively late fusion of the separate centers of ossification that form the bones of the pelvis. Hence, in this work we will focus on the development of an intelligent decision support system to predict individual’s age based on a pelvis' dimensions criteria. Some basic image processing techniques were applied in order to extract the relevant features from pelvic X-rays, being the computational framework built on top of a Logic Programming approach to Knowledge Representation and Reasoning that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing

Agent based decision support systems in medicine

Embedding Machine Learning technology into Agent Driven Diagnosis Systems adds a new potential to the realm of Medicine, and in particular to the imagiology one. However, despite all the research done in the last years on the development of new methodologies for problem solving, in terms of the design of MultiAgent Systems (MAS) there is none where both the agent and the organizational view can be modelled. Current multi-agent approaches to problem solving either take a centralist, static approach to organizational design or take an emergent view in which agent interactions are not pre-determined, thus making it impossible to make any predictions on the behavior of the whole systems. Most of them also lack a model of the norms in the environment that should rule the behaviour of the agent society as a whole and/or the actions of the individuals. In this paper, it is proposed not only a framework for modelling and run agent organizations, but also to depict the different components of such societies. To illustrate these premises, we will evoke a society with one modality, the Axial Computed Tomography one, where two different but complementary computational paradigms, the Artificial Neural Networks and the Case Based Reasoning are object of attention

Health data management in the medical arena

In this paper it is presented an Agency for Integration, Archive and Diffusion of Medical Information (AIDA), which configures a data warehouse, developed using Multi-Agent technology. AIDA is like a symbiont, with a close association with core applications present at any health care facility, such as the Picture Archive Communication System, the Radiological Information System or the Electronic Medical Record Information System. Multi-Agent Systems also configure a new methodology for problem solving

Data warehousing through multi-agent systems in the medical arena

Comunicação apresentada na International Conference on Knowledge Engineering and Decision Support, 1, Porto, 2004.In this paper it is presented AIDA, an Agency for Integration, Archive and Diffusion of Medical Information. It configures a data warehouse, developed using Multi-Agent technology, that integrates and archives information from heterogeneous sources of a health care unit. AIDA is like a symbiont, with a close association with core applications at any health care facility, namely the Picture Archive Communication System, the Radiological Information System and the Electronic Medical Record Information System, that are built upon pro-active agents and communicate with the AIDA’s ones

Agent driven diagnosis in medicine

Embedding Machine Learning technology into Agent Driven Diagnosis Systems adds a new potential to the realm of Medicine, and in particular to the imagiology one. However, despite all the research done in the last years on the development of methodologies for designing MultiAgent Systems (MAS), there is no methodology suitable for the specification and design of MAS in complex domains where both the agent view and the organizational view can be modelled. Current multi-agent approaches either take a centralist, static approach to organizational design or take an emergent view in which agent interactions are not pre-determined, thus making it impossible to make any predictions on the behavior of the whole systems. Most of them also lack a model of the norms in the environment that should rule the behavior of the agent society as a whole and/or the actions of individuals. In this paper, we propose a framework for modelling agent organizations, and we illustrate the different components of a society with one modality, the Axial Computed Tomography scenario, combining two methodologies for problem solving, the Artificial Neural Networks and the Case Based Reasoning ones