Efeitos das respostas de observação diferenciais sobre a aprendizagem de relações condicionais com estímulos complexos

Este estudo avaliou se relações entre os componentes do estímulo modelo complexo exerceriam controle condicional em tarefas de matching-to-sample simultâneo. Na Fase 1, 3 crianças com necessidades especiais de ensino foram expostas ao treino das relações A1B1 e A2B2 e ao teste das respectivas relações simétricas. em seguida, as contingências de treino exigiram respostas de observação diferenciais que consistiram no estabelecimento de relações condicionais de identidade entre estímulos complexos (relações AB-AB) precedendo o acesso ao treino das relações condicionais ABX. Neste treino, diante de estímulos modelos complexos cujos componentes sustentavam condicionalidade treinada (A1B1 e A2B2), X1 foi o estímulo de escolha correto; X2 exerceu esta função quando os componentes do estímulo modelo não sustentavam tal relação (A1B2 e A2B1). Na Fase 2, ocorreria o treino PQ, testes QP e PQX que avaliariam a extensão do controle condicional definido pelas relações entre os estímulos P e Q. As três crianças registraram a aprendizagem das relações AB, a emergência das relações simétricas e índices elevados de acerto nas respostas de observação diferenciais, ou seja, no estabelecimento das relações condicionais de identidade com estímulos complexos. Contudo, as três demonstraram relações de controle distintas das previstas no treino ABX, sendo, portanto, o experimento finalizado na Fase 1. Tais resultados sugerem uma independência funcional entre as habilidades discriminativas exigidas nas duas contingências de ensino de relações condicionais com estímulos modelo complexos.

Consenso em reumatologia pediátrica: parte II - definição de melhora clínica para o lúpus eritematoso sistêmico e dermatomiosite juvenil

OBJETIVO: avaliar as medidas de atividade e critérios de melhora clínica para o lúpus eritematoso sistêmico juvenil (LESJ) e dermatomiosite juvenil (DMJ), desenvolvidos por meio de consenso entre especialistas. MÉTODOS E RESULTADOS: para o LESJ, as medidas essenciais em cinco domínios e as respectivas variáveis foram: 1) avaliação global pelo médico por escala analógica visual de 0-10 cm; 2) avaliação da qualidade de vida relacionada à saúde (índice Físico - CHQ-PF50); 3) avaliação da atividade pelos pais/paciente por escala analógica visual de 0-10 cm; 4) avaliação renal (proteinúria 24 h); e 5) avaliação global da atividade por instrumento específico (SLEDAI ou ECLAM). A definição preliminar de melhora clínica para o JSLE foi: melhora > 50% em pelo menos 2 das 5 variáveis e não mais que uma com piora > 30%, a qual não pode ser a proteinúria de 24h em casos com envolvimento renal. Os seis domínios e as respectivas variáveis selecionadas para a atividade na DMJ foram: 1) avaliação global pelo médico por escala analógica visual de 0-10 cm; 2) avaliação da força muscular proximal por meio de teste específico - CMAS-Childhood Myositis Assessment Scale 0-52; 3) avaliação da capacidade funcional (CHAQ); 4) avaliação da atividade pelos pais/paciente por escala analógica visual de 0-10 cm; 5) avaliação da qualidade de vida relacionada à saúde (Índice Físico - CHQ-PF50); 6) avaliação global da atividade por meio de instrumento específico (DAS - Disease Activity Score). A definição preliminar de melhora clínica para a DMJ foi: pelo menos 3 de quaisquer das 6 variáveis com melhora > 20% e não mais que uma com piora > 30%, a qual não pode ser o CMAS. CONCLUSÕES: estas variáveis foram testadas em uma casuística representativa e mostraram propriedades estatísticas adequadas de responsividade e validade discriminativa, podendo ser estudadas em ensaios terapêuticos.

Detection of Streptococcus mutans and Streptococcus sobrinus in dental plaque samples from Brazilian preschool children by polymerase chain reaction

The purposes of this study were to detect S. mutans and S. sobrinus by polymerase chain reaction (PCR) amplification, and to relate their presence to the incidence of dental caries in 42 Brazilian preschool children. Dental plaque samples were collected from the cervical margin of all erupted teeth of 5-6 years old children with primary dentition, using a sterile explorer. Examination of the dmft (decayed, missing, filled teeth) index, performed following the World Health Organization (WHO) caries diagnostic criteria, showed a 2.71 score. Prevalence of S. mutans and S. sobrinus was respectively, of 85.7% and 14.3%; no dental plaque sample was either positive or negative for both bacterial species. Children harboring either S. mutans or S. sobrinus presented the same caries prevalence. PCR showed good discriminative ability for differentiation between these species, and suggested that it is a technique suitable for epidemiological studies on mutans streptococci.

Comparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach

The multi-relational Data Mining approach has emerged as alternative to the analysis of structured data, such as relational databases. Unlike traditional algorithms, the multi-relational proposals allow mining directly multiple tables, avoiding the costly join operations. In this paper, is presented a comparative study involving the traditional Patricia Mine algorithm and its corresponding multi-relational proposed, MR-Radix in order to evaluate the performance of two approaches for mining association rules are used for relational databases. This study presents two original contributions: the proposition of an algorithm multi-relational MR-Radix, which is efficient for use in relational databases, both in terms of execution time and in relation to memory usage and the presentation of the empirical approach multirelational advantage in performance over several tables, which avoids the costly join operations from multiple tables. © 2011 IEEE.

Multi-relational algorithm for mining association rules in large databases

Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required exceeds the amount available. The proposed algorithm MRRadix presents a framework that promotes the optimization of memory usage. It also uses the concept of partitioning to handle large volumes of data. The original contribution of this proposal is enable a superior performance when compared to other related algorithms and moreover successfully concludes the task of mining association rules in large databases, bypass the problem of available memory. One of the tests showed that the MR-Radix presents fourteen times less memory usage than the GFP-growth. © 2011 IEEE.

Improving hierarchical document cluster labels through candidate term selection

One way to organize knowledge and make its search and retrieval easier is to create a structural representation divided by hierarchically related topics. Once this structure is built, it is necessary to find labels for each of the obtained clusters. In many cases the labels must be built using all the terms in the documents of the collection. This paper presents the SeCLAR method, which explores the use of association rules in the selection of good candidates for labels of hierarchical document clusters. The purpose of this method is to select a subset of terms by exploring the relationship among the terms of each document. Thus, these candidates can be processed by a classical method to generate the labels. An experimental study demonstrates the potential of the proposed approach to improve the precision and recall of labels obtained by classical methods only considering the terms which are potentially more discriminative. © 2012 - IOS Press and the authors. All rights reserved.

Automatic visual dictionary generation through Optimum-Path Forest clustering

Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points of interest which are mapped to a Hilbert Space representing a visual dictionary which aims at comprising the most discriminative features in a set of images. Notwithstanding, the main problem of such approaches is to find a compact and representative dictionary. Finding such representative dictionary automatically with no user intervention is an even more difficult task. In this paper, we propose a method to automatically find such dictionary by employing a recent developed graph-based clustering algorithm called Optimum-Path Forest, which does not make any assumption about the visual dictionary's size and is more efficient and effective than the state-of-the-art techniques used for dictionary generation. © 2012 IEEE.

BCS: A Binary Cuckoo Search algorithm for feature selection

Feature selection has been actively pursued in the last years, since to find the most discriminative set of features can enhance the recognition rates and also to make feature extraction faster. In this paper, the propose a new feature selection called Binary Cuckoo Search, which is based on the behavior of cuckoo birds. The experiments were carried out in the context of theft detection in power distribution systems in two datasets obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques. © 2013 IEEE.

Fast assembly of non-thiolated DNA on gold surface at lower pH

In a typical protocol for attaching DNA to a gold electrode, thiolated DNA is incubated with the electrode at neutral pH overnight. Here we report fast adsorption of non-thiolated DNA oligomers on gold electrodes at acidic pH (i.e., pH ~3.0). The peak-to-peak potential difference and the redox peak currents in typical cyclic voltammetry of [Fe(CN)6]3- are investigated to monitor the attachment. Compared with incubation at neutral pH, the lower pH can significantly promote the adsorption processes, enabling efficient adsorption even in 30min. The adsorption rate is DNA concentration-dependent, while the ionic strength shows no influence. Moreover, the adsorption is base-discriminative, with a preferred order of A>C≫G, T, which is attributed to the protonation of A and C at low pH and their higher binding affinity to gold surface. The immobilized DNA is functional and can hybridize with its complementary DNA but not a random DNA. This work is promising to provide a useful time-saving strategy for DNA assembly on gold electrodes, allowing fast fabrication of DNA-based biosensors and devices. © 2013 Elsevier Inc.

Aids e uso de preservativos por adolescentes: análise da história individual e práticas culturais

Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC

Composição de dicionários visuais utilizando agrupamento de dados por Florestas de Caminhos Ótimos

Pós-graduação em Ciência da Computação - IBILCE

Reconhecimento de fragmentos de impressões digitais baseado em cristas e poros

Pós-graduação em Ciência da Computação - IBILCE

Estudo de polimorfismo do cromossomo x na população da região sudeste do Brasil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O desenvolvimento de uma escala de atitudes sociais em relação ao trabalho da pessoa com deficiência

Pós-graduação em Educação - FFC

Herança quali-quantitativa e marcadores moleculares para seleção assistida de genótipos de soja resistentes à ferrugem asiática

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)