Da estratégia individual à ação coletiva: grupos de suporte e gênero no contexto da gestão da diversidade

Este artigo trata da formação de grupo de suporte no marco das políticas de diversidade empresarial. São escassas as pesquisas que abordem essa prática de gestão da diversidade. Visando a contribuir para o preenchimento dessa lacuna, o trabalho analisa um Comitê de Mulheres, a fim de compreender de que forma ele é influenciado pela política de diversidade formatada pela direção da organização e a influencia. Foi realizado um estudo de caso etnográfico em uma corporação transnacional cuja sede no Brasil está localizada em São Paulo. Os resultados apontam para um paradoxo. Por um lado, o Comitê analisado representa um processo de emancipação, sinalizando para práticas gerenciais mais inclusivas e participativas. Por outro, notou-se a presença de mecanismos de controle, uma vez que há um esforço da direção da empresa em disciplinar o seu funcionamento.

Multimodos e múltiplas Representações, aprendizagem significativa e subjetividade: três referenciais conciliáveis da educação científica

A linha de pesquisa em multimodos e múltiplas representações vem atualmente sendo inspiradora de ações instrucionais na educação científica. Partindo dos fundamentos que justificam um encaminhamento didático à luz dessas referências, este trabalho procura mostrar que há compatibilidade dos seus fundamentos com a teoria da aprendizagem significativa de Ausubel e com as questões levantadas pelas pesquisas que indicam a necessidade de se considerar a subjetividade dos alunos presentes numa sala de aula. Essencialmente, procuramos argumentar que a promoção de um ensino por meio de multimodos e múltiplas representações é consistente com o ambiente plural das subjetividades existentes numa sala de aula e com uma aprendizagem significativa.

Keratoconus prediction using a finite element model of the cornea with local biomechanical properties

PURPOSE: The ability to predict and understand which biomechanical properties of the cornea are responsible for the stability or progression of keratoconus may be an important clinical and surgical tool for the eye-care professional. We have developed a finite element model of the cornea, that tries to predicts keratoconus-like behavior and its evolution based on material properties of the corneal tissue. METHODS: Corneal material properties were modeled using bibliographic data and corneal topography was based on literature values from a schematic eye model. Commercial software was used to simulate mechanical and surface properties when the cornea was subject to different local parameters, such as elasticity. RESULTS: The simulation has shown that, depending on the corneal initial surface shape, changes in local material properties and also different intraocular pressures values induce a localized protuberance and increase in curvature when compared to the remaining portion of the cornea. CONCLUSIONS: This technique provides a quantitative and accurate approach to the problem of understanding the biomechanical nature of keratoconus. The implemented model has shown that changes in local material properties of the cornea and intraocular pressure are intrinsically related to keratoconus pathology and its shape/curvature.

A reabilitação neuropsicológica sob a ótica da psicologia comportamental

CONTEXTO: A reabilitação neuropsicológica é um dos componentes do tratamento de clientes* com lesões cerebrais e/ou distúrbios neurológicos e neuropsiquiátricos. Os programas de reabilitação podem se beneficiar do emprego de procedimentos** comportamentais, principalmente porque a ciência da análise do comportamento dispõe de ferramentas valiosas para a modificação do comportamento e o auxílio nos processos de aprendizagem. OBJETIVOS: Este artigo objetiva discursar sobre a interação entre as áreas de reabilitação neuropsicológica e análise do comportamento. MÉTODOS: Inicia-se esta empreitada apresentando o que é a reabilitação neuropsicológica, passando pela clarificação do emprego de procedimentos comportamentais tanto na avaliação como na reabilitação neuropsicológicas e quais os cuidados necessários na preparação de um programa. RESULTADOS: Objetiva-se, assim, despertar o interesse pelo desenvolvimento de novos estudos neste vasto campo e chamar a atenção dos neuropsicólogos para a importância da aquisição de conhecimentos básicos em análise do comportamento. CONCLUSÃO: Isso parece ser conseqüência não da escassez de estudos sobre o emprego de procedimentos comportamentais em programas de reabilitação neuropsicológica, mas sim da falta de percepção, por parte dos profissionais de reabilitação, de que muitos procedimentos por eles empregados são comportamentais. Ou pode ainda refletir um desconhecimento sobre a existência da vertente da neuropsicologia comportamental, ou ainda ser apenas reflexo dos preconceitos de que a análise do comportamento é alvo.

“Memória e sociedade”: ciência poética e referência de humanismo

O artigo apresenta um conjunto articulado de reflexões a respeito do livro Memória e Sociedade: Lembranças de Velhos, de Ecléa Bosi, aqui considerado como obra-prima da psicologia social e das ciências humanas. Procura destacar as originalidades de natureza teórico-metodológica do texto, a começar por uma composição singular que incorpora poesia na construção científica, passando por uma redefinição das relações entre sujeito e objeto do conhecimento, ao desenvolver a perspectiva de alternância da condição entre ambos, no desdobramento da pesquisa. Mostra, também, como o estudo de Ecléa Bosi se fundamenta em estreitos vínculos entre a pesquisadora e os velhos pesquisados, de modo a se formar entre eles uma comunidade de destino.

Políticas públicas dirigidas à juventude e promoção da saúde: como a proposta de auxiliares da juventude foi traduzida em prática

Este artigo discute uma intervenção em políticas públicas voltada para a juventude no município de São Paulo, com a finalidade de debater o funcionamento e as dificuldades que esta proposta encontrou ao ser traduzida na prática cotidiana dos gestores municipais. Teve como objetivo analisar o trabalho dos auxiliares da juventude do município e refletir a respeito dos princípios e das estratégias da promoção da saúde. Trata-se de estudo qualitativo, utilizando questionários e entrevistas, procurando aproximar a experiência prática da discussão teórica. O discurso teórico conceitual foi convincente quanto à importância deste ator social na construção de políticas públicas, entretanto sua prática mostrou que não foi efetivo pelo pouco mérito e pouca sustentabilidade despendidos ao propósito. O espaço da saúde pública pode ser um lócus privilegiado no sentido de contribuir para a proposição de intervenções para esse público.

Particle competition for complex network community detection

In many real situations, randomness is considered to be uncertainty or even confusion which impedes human beings from making a correct decision. Here we study the combined role of randomness and determinism in particle dynamics for complex network community detection. In the proposed model, particles walk in the network and compete with each other in such a way that each of them tries to possess as many nodes as possible. Moreover, we introduce a rule to adjust the level of randomness of particle walking in the network, and we have found that a portion of randomness can largely improve the community detection rate. Computer simulations show that the model has good community detection performance and at the same time presents low computational complexity. (C) 2008 American Institute of Physics.

Critical behavior of the susceptible-infected-recovered model on a square lattice

By means of numerical simulations and epidemic analysis, the transition point of the stochastic asynchronous susceptible-infected-recovered model on a square lattice is found to be c(0)=0.176 500 5(10), where c is the probability a chosen infected site spontaneously recovers rather than tries to infect one neighbor. This point corresponds to an infection/recovery rate of lambda(c)=(1-c(0))/c(0)=4.665 71(3) and a net transmissibility of (1-c(0))/(1+3c(0))=0.538 410(2), which falls between the rigorous bounds of the site and bond thresholds. The critical behavior of the model is consistent with the two-dimensional percolation universality class, but local growth probabilities differ from those of dynamic percolation cluster growth, as is demonstrated explicitly.

H(infinity) filtering for rectangular discrete-time descriptor systems

This paper deals with the H(infinity) recursive estimation problem for general rectangular time-variant descriptor systems in discrete time. Riccati-equation based recursions for filtered and predicted estimates are developed based on a data fitting approach and game theory. In this approach, the nature determines a state sequence seeking to maximize the estimation cost, whereas the estimator tries to find an estimate that brings the estimation cost to a minimum. A solution exists for a specified gamma-level if the resulting cost is positive. In order to present some computational alternatives to the H(infinity) filters developed, they are rewritten in information form along with the respective array algorithms. (C) 2009 Elsevier Ltd. All rights reserved.

Adaptive Approach for a Maximum Entropy Algorithm in Ecological Niche Modeling

This paper presents an Adaptive Maximum Entropy (AME) approach for modeling biological species. The Maximum Entropy algorithm (MaxEnt) is one of the most used methods in modeling biological species geographical distribution. The approach presented here is an alternative to the classical algorithm. Instead of using the same set features in the training, the AME approach tries to insert or to remove a single feature at each iteration. The aim is to reach the convergence faster without affect the performance of the generated models. The preliminary experiments were well performed. They showed an increasing on performance both in accuracy and in execution time. Comparisons with other algorithms are beyond the scope of this paper. Some important researches are proposed as future works.

Brazilian Network of Food Data Systems and LATINFOODS Regional Technical Compilation Committee: Food composition activities (2006-2009)

The Brazilian Network of Food Data Systems (BRASILFOODS) has been keeping the Brazilian Food Composition Database-USP (TBCA-USP) (http://www.fcf.usp.br/tabela) since 1998. Besides the constant compilation, analysis and update work in the database, the network tries to innovate through the introduction of food information that may contribute to decrease the risk for non-transmissible chronic diseases, such as the profile of carbohydrates and flavonoids in foods. In 2008, data on carbohydrates, individually analyzed, of 112 foods, and 41 data related to the glycemic response produced by foods widely consumed in the country were included in the TBCA-USP. Data (773) about the different flavonoid subclasses of 197 Brazilian foods were compiled and the quality of each data was evaluated according to the USDAs data quality evaluation system. In 2007, BRASILFOODS/USP and INFOODS/FAO organized the 7th International Food Data Conference ""Food Composition and Biodiversity"". This conference was a unique opportunity for interaction between renowned researchers and participants from several countries and it allowed the discussion of aspects that may improve the food composition area. During the period, the LATINFOODS Regional Technical Compilation Committee and BRASILFOODS disseminated to Latin America the Form and Manual for Data Compilation, version 2009, ministered a Food Composition Data Compilation course and developed many activities related to data production and compilation. (C) 2010 Elsevier Inc. All rights reserved.

A hybrid case adaptation approach for case-based reasoning

Case-Based Reasoning is a methodology for problem solving based on past experiences. This methodology tries to solve a new problem by retrieving and adapting previously known solutions of similar problems. However, retrieved solutions, in general, require adaptations in order to be applied to new contexts. One of the major challenges in Case-Based Reasoning is the development of an efficient methodology for case adaptation. The most widely used form of adaptation employs hand coded adaptation rules, which demands a significant knowledge acquisition and engineering effort. An alternative to overcome the difficulties associated with the acquisition of knowledge for case adaptation has been the use of hybrid approaches and automatic learning algorithms for the acquisition of the knowledge used for the adaptation. We investigate the use of hybrid approaches for case adaptation employing Machine Learning algorithms. The approaches investigated how to automatically learn adaptation knowledge from a case base and apply it to adapt retrieved solutions. In order to verify the potential of the proposed approaches, they are experimentally compared with individual Machine Learning techniques. The results obtained indicate the potential of these approaches as an efficient approach for acquiring case adaptation knowledge. They show that the combination of Instance-Based Learning and Inductive Learning paradigms and the use of a data set of adaptation patterns yield adaptations of the retrieved solutions with high predictive accuracy.

Obsessive-compulsive disorder: Influence of age at onset on comorbidity patterns

Purpose. - This study investigates the influence of age at onset of OCS on psychiatric comorbidities, and tries to establish a cut-off point for age at onset. Methods. - Three hundred and thirty OCD patients were consecutively recruited and interviewed using the following structured interviews: Yale-Brown Obsessive Compulsive Scale; Yale Global Tic Severity Scale and the Structured Clinical Interview for DSM-IV. Data were analyzed with regression and cluster analysis. Results. - Lower age at onset was associated with a higher probability of having comorbidity with tic, anxiety, somatoform, eating and impulse-control disorders. Longer illness duration was associated with lower chance of having tics. Female gender was associated with anxiety, eating and impulse-control disorders. Tic disorders were associated with anxiety disorders and attention-deficit/hyperactivity disorder. No cutoff age at onset was found to clearly divide the sample in homogeneous subgroups. However, cluster analyses revealed that differences started to emerge at the age of 10 and were more pronounced at the age of 17, suggesting that these were the best cut-off points on this sample. Conclusions. - Age at onset is associated with specific comorbidity patterns in OCD patients. More prominent differences are obtained when analyzing age at onset as an absolute value. (C) 2008 Elsevier Masson SAS. All rights reserved.