L’approche dialogique dans les comités d’éthique clinique en Amérique du nord

Cette recherche s’intéresse aux processus communicationnels utilisés dans les comités d’éthique clinique (CEC) en Amérique du nord dans leur fonction de consultation. Selon la littérature, les CEC bénéficieraient de «pay closer attention to group process [as an] effective communication in a HEC is essential to a committee’s function» (Berchelmann and Blechner 2002 p.143). Or, très peu de données sur les dynamiques de groupe et les modes de communication en CEC sont disponibles. Ce travail cherche à savoir si l’approche dialogique peut être utile au soutien des discussions de groupe des CEC. Dans un premier temps, une revue de littérature rend compte, à partir de son historique, de l’état actuel des CEC. Sont ensuite explorées et analysées, dans leurs avantages et leurs limites, les diverses méthodes utilisées afin de mener les discussions dans le cadre des consultations. Dans un deuxième temps, les barrières communicationnelles qui affectent potentiellement les CEC sont identifiées. Par la suite, afin d’améliorer le processus de communication (et diminuer l’effet des barrières), une nouvelle piste de solution est proposée : le dialogue tel que développé par le milieu organisationnel. Le dialogue est alors conceptualisé et mis en lien avec les besoins des CEC en matière de communication. Bien que le dialogue propose plusieurs contributions avantageuses pour les CEC et leurs membres, certaines contraintes réduisent sa faisabilité d’une façon globale dans le contexte particulier des CEC. Par contre, en l’utilisant comme formation complémentaire, le dialogue permet le développement de l’individu et du groupe et demeure une approche intéressante et utile pour les CEC qui éprouvent des difficultés systémiques et comprennent les implications de sa démarche.

Curriculum vitae de los miembros de los Comités Editorial y Científico

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Comités

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Comités Editorial y Científico

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Comitès que valoren i recomanen llibres. 'Comités que valoran y recomiendan libros'.

Fundalectura es una Fundación para el Fomento de la Lectura, de carácter privado que funciona desde el 1990 en Colombia. El objetivo es promover la lectura en todos los ámbitos de la persona. El artículo explica el funcionamiento de la fundación y los recursos que utiliza para conseguir sus objetivos. Se destaca el trabajo llevado a cabo por los comités de evaluación ya que es uno de los pilares de la fundación.

Entrevista a Pere Miró, Director de Solidaridad Olímpica y Director de relaciones con los Comités Olímpicos Nacionales del Comité Olímpico Internacional.

Resumen tomado de la publicación

El impacto del marketing para la financiación de los Comités Olímpicos Nacionales.

Resumen tomado de la publicación

A importância do componente cívico para o funcionamento efetivo de canais participativos como instrumentos de inclusão democrática: um estudo de caso dos Comitês Gestores de Bairro do Programa Nova Baixada

The present research aimed at verifying the performance, as instruments of democratic inclusion, of the managing committees (¿Comitês Gestores de Bairro¿), created by the Government of Rio de Janeiro in the scope of the Nova Baixada Program. Thus, at first, it was presented the concept of democracy, its presuppositions and fragilities, as well as some mechanisms introduced with the objective to extend the effectiveness of this regimen, like the channels of popular participation. It was also demonstrated the importance of the diffusion of civic values for the consolidation of the democracy, mainly in countries like Brazil, where determined cultural characteristics of the society use to act in a negative way in the democratization process. With this propose, some democratic theories, which value aspects as civism and social capital, had been presented and it was also analyzed the cultural elements of the Brazilian society that had negative implications in the performance of the channels of participation introduced in the country. Finally, it was examined the performance of the Comitês Gestores de Bairro (managing committees) of the Nova Baixada Program, trying to establish a relation between the structure of them and the cultural characteristics of our society.

Abordagem cross-cultural para comitês organizadores de jogos: caso dos XV Jogos Pan-americanos Rio 2007

O escopo teórico de Gestão Internacional atualmente atinge tantos locais quanto pessoas ao redor do planeta e pode se expandir para atender também a um conjunto mais amplo de empresas que somente as multinacionais. Com o objetivo de analisar os desafios cross-culturais e os conflitos que permearam o Comitê Organizador dos XV Jogos Pan-americanos Rio 2007, este estudo equipara Comitês Organizadores de Jogos a subsidiárias com mandato global. A partir de uma metodologia de inspiração interpretativista cultural defendendo o papel do contexto local por uma abordagem crítica, analisa o sistema de ação cultural brasileiro e contrapõe teorias clássicas da abordagem cross-cultural com uma visão qualitativa de base sócio-antropológica. Foram realizadas entrevistas semiestruturadas com ex-funcionários do Comitê Rio 2007 tanto brasileiros quanto estrangeiros e consultores que apoiaram a realização dos Jogos. Várias questões foram levantadas que apóiam a influência de características comportamentais culturais brasileiras como o paternalismo, a lealdade às pessoas, a flexibilidade, e evitar conflitos nas relações pessoais e organizacionais. Ao mesmo tempo, foi possível identificar três possíveis causas de conflitos entre os atores principais das narrativas (os consultores, o Comitê Organizador Rio2007 e o governo): (1) a diferença no nível de experiência /conhecimento explícito e tácito, (2) a desconfiança, e (3) o orgulho; e o esforço de comunicação foi identificado como possível solução. Por fim, foi possível visualizar traços das teorias clássicas cross-culturais dentro do estudo, mas foi reforçada a crítica de que é impossível isolar a cultura e o contexto local como variáveis contingenciais, muito menos ignorá-los.

Comitês de investimento em fundos de investimento em participações utilizados como veículos para a indústria de Private Equity

A análise sobre se a existência de comitês de investimentos que concedam poderes de ingerência aos cotistas é uma variável levada em consideração pelos potenciais investidores de fundos de investimento em participação (“FIPs”) utilizados como veículos de investimento em Private Equity (“FIPs PE”) no mercado brasileiro é o objeto do presente trabalho, cujo objetivo é verificar se há competição entre gestores de FIPs PE pela inclusão de tais comitês em seus regulamentos, com vistas a prospectar um maior número de cotistas. Por meio da realização de pesquisa empírica, na qual serão analisados os regulamentos de FIPs PE que foram registrados desde o ano de 2006 até o ano de 2011 perante a Comissão de Valores Mobiliários (“CVM”), com vistas a examinar se houve aumento no número de regulamentos que previssem comitês de investimento e no número de gestores que adotam comitês de investimento usualmente nos fundos que gerem, se pretende comprovar a hipótese de que os comitês de investimento são uma variável que interfere na decisão dos investidores sobre em qual FIP PE investirão seus recursos e, portanto, que os gestores de FIPs PE tendem a estabelecer este mecanismo nos regulamentos dos fundos que gerem. Os pressupostos teóricos que justificam a adoção de mecanismos de governança pelos FIPs PE, com base na literatura sobre a teoria da agência – enfatizando-se os temas da assimetria de informação, risco moral, seleção adversa e custos de agência - e, ainda, os mecanismos de governança mais usuais na indústria de FIPs PE são apresentados de forma a conferir ao tema o devido embasamento teórico. A relevância deste trabalho decorre da importância que a indústria de Private Equity possui na economia, por atuar em determinado estágio de um empreendimento onde o acesso ao financiamento é via de regra escasso. Além disso, o tema se revela atual, já que houve, apenas no ano de 2011, captações recordes de fundos de Private Equity no Brasil, que somaram um montante de US$ 8,1 bilhões.

Otimização em comitês de classificadores: uma abordagem baseada em filtro para seleção de subconjuntos de atributos

Traditional applications of feature selection in areas such as data mining, machine learning and pattern recognition aim to improve the accuracy and to reduce the computational cost of the model. It is done through the removal of redundant, irrelevant or noisy data, finding a representative subset of data that reduces its dimensionality without loss of performance. With the development of research in ensemble of classifiers and the verification that this type of model has better performance than the individual models, if the base classifiers are diverse, comes a new field of application to the research of feature selection. In this new field, it is desired to find diverse subsets of features for the construction of base classifiers for the ensemble systems. This work proposes an approach that maximizes the diversity of the ensembles by selecting subsets of features using a model independent of the learning algorithm and with low computational cost. This is done using bio-inspired metaheuristics with evaluation filter-based criteria

Uma análise da aplicação do modelo de Rede Neural RePART em Comitês de classificadores

RePART (Reward/Punishment ART) is a neural model that constitutes a variation of the Fuzzy Artmap model. This network was proposed in order to minimize the inherent problems in the Artmap-based model, such as the proliferation of categories and misclassification. RePART makes use of additional mechanisms, such as an instance counting parameter, a reward/punishment process and a variable vigilance parameter. The instance counting parameter, for instance, aims to minimize the misclassification problem, which is a consequence of the sensitivity to the noises, frequently presents in Artmap-based models. On the other hand, the use of the variable vigilance parameter tries to smoouth out the category proliferation problem, which is inherent of Artmap-based models, decreasing the complexity of the net. RePART was originally proposed in order to minimize the aforementioned problems and it was shown to have better performance (higer accuracy and lower complexity) than Artmap-based models. This work proposes an investigation of the performance of the RePART model in classifier ensembles. Different sizes, learning strategies and structures will be used in this investigation. As a result of this investigation, it is aimed to define the main advantages and drawbacks of this model, when used as a component in classifier ensembles. This can provide a broader foundation for the use of RePART in other pattern recognition applications

Uma Análise de métodos de distriubuição de atributos em comitês de classificadores

The objective of the researches in artificial intelligence is to qualify the computer to execute functions that are performed by humans using knowledge and reasoning. This work was developed in the area of machine learning, that it s the study branch of artificial intelligence, being related to the project and development of algorithms and techniques capable to allow the computational learning. The objective of this work is analyzing a feature selection method for ensemble systems. The proposed method is inserted into the filter approach of feature selection method, it s using the variance and Spearman correlation to rank the feature and using the reward and punishment strategies to measure the feature importance for the identification of the classes. For each ensemble, several different configuration were used, which varied from hybrid (homogeneous) to non-hybrid (heterogeneous) structures of ensemble. They were submitted to five combining methods (voting, sum, sum weight, multiLayer Perceptron and naïve Bayes) which were applied in six distinct database (real and artificial). The classifiers applied during the experiments were k- nearest neighbor, multiLayer Perceptron, naïve Bayes and decision tree. Finally, the performance of ensemble was analyzed comparatively, using none feature selection method, using a filter approach (original) feature selection method and the proposed method. To do this comparison, a statistical test was applied, which demonstrate that there was a significant improvement in the precision of the ensembles

Seleção de atributos em comitês de classificadores utilizando algoritmos genéticos

Classifier ensembles are systems composed of a set of individual classifiers and a combination module, which is responsible for providing the final output of the system. In the design of these systems, diversity is considered as one of the main aspects to be taken into account since there is no gain in combining identical classification methods. The ideal situation is a set of individual classifiers with uncorrelated errors. In other words, the individual classifiers should be diverse among themselves. One way of increasing diversity is to provide different datasets (patterns and/or attributes) for the individual classifiers. The diversity is increased because the individual classifiers will perform the same task (classification of the same input patterns) but they will be built using different subsets of patterns and/or attributes. The majority of the papers using feature selection for ensembles address the homogenous structures of ensemble, i.e., ensembles composed only of the same type of classifiers. In this investigation, two approaches of genetic algorithms (single and multi-objective) will be used to guide the distribution of the features among the classifiers in the context of homogenous and heterogeneous ensembles. The experiments will be divided into two phases that use a filter approach of feature selection guided by genetic algorithm

Comitês de grupamento aplicados a dados de expressão gênica

The main goal of this work is to investigate the suitability of applying cluster ensemble techniques (ensembles or committees) to gene expression data. More specifically, we will develop experiments with three diferent cluster ensembles methods, which have been used in many works in literature: coassociation matrix, relabeling and voting, and ensembles based on graph partitioning. The inputs for these methods will be the partitions generated by three clustering algorithms, representing diferent paradigms: kmeans, ExpectationMaximization (EM), and hierarchical method with average linkage. These algorithms have been widely applied to gene expression data. In general, the results obtained with our experiments indicate that the cluster ensemble methods present a better performance when compared to the individual techniques. This happens mainly for the heterogeneous ensembles, that is, ensembles built with base partitions generated with diferent clustering algorithms