Efeitos de dois tipos de pergunta sobre os comportamentos verbal e não-verbal

O presente estudo procurou avaliar se a sinalização da mudança nas contingências programadas pela apresentação de pergunta tornaria o seguimento de regras mais provável de mudar acompanhando a mudança nas contingências. Doze estudantes universitários foram expostos a um procedimento de escolha segundo o modelo. A tarefa era apontar para três estímulos de comparação, em seqüência, na presença de um estímulo modelo. A emissão das seqüências corretas produzia pontos trocáveis por dinheiro. As respostas eram reforçadas em esquema de reforçamento contínuo. Os participantes foram distribuídos em quatro condições experimentais, cada uma composta por quatro sessões. A Sessão 1 era a linha de base. As contingências programadas na Sessão 2 eram alteradas na Sessão 3 e mantidas inalteradas na Sessão 4. Nas Condições 1 e 2 o comportamento não-verbal era estabelecido por reforço diferencial e nas Condições 3 e 4 era estabelecido por regra. Duas perguntas eram feitas: a pergunta Tipo 1 consistia em solicitar ao participante que descrevesse o comportamento que produzia reforço; e a pergunta Tipo 2 consistia em pedir ao participante para avaliar a possibilidade de haver ou não mais de um comportamento que produzia reforço na situação experimental. A pergunta Tipo 1 era apresentada a cada três tentativas ao longo das Sessões 2, 3 e 4 de todas as condições; enquanto que a pergunta Tipo 2 era apresentada no início da Sessão 3 das Condições 1 e 3 e no início da Sessão 4 das Condições 2 e 4. As verbalizações dos participantes não eram reforçadas diferencialmente. Os resultados mostraram que dois dos três participantes da Condição 1 e os três da Condição 2 mudaram seus desempenhos verbais e não-verbais quando houve mudança nas contingências. Na Condição 3, os três participantes mudaram seus desempenhos quando houve mudança nas contingências e na Condição 4 dois dos três fizeram o mesmo. Sugere-se que a pergunta Tipo 2, em conjunção com a pergunta Tipo 1, contribuiu para a ocorrência de desempenhos verbais e não-verbais sensíveis às mudanças nas contingências quando o comportamento nãoverbal foi estabelecido por regra. Os resultados têm implicações para o esclarecimento do papel de perguntas na sensibilidade dos comportamentos verbais e não-verbais às mudanças nas contingências.

A variação da concordância verbal entre os falantes do Mato Grosso do Sul

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modeling of alkynes: synthesis and theoretical properties

ABSTRACT: In this paper we present the synthesis and simulation of alkynes derivatives. Semiempirical calculations were carried out for the ground and first excited states, including the spectroscopic properties of the absorption and emission (fluorescence and phosphorescence) spectra by INDO/S-CI and DNdM-INDO/S-CI methods with geometries fully optimized by PM3/CI. The fact that the theoretical spectra are in accord with the experimental absorption spectra gives us a new possible approach on how structure modifications could affect the non-linear optical properties of alkynes.

Treatment of geophysical data as a non-stationary process

ABSTRACT: The Kalman-Bucy method is here analized and applied to the solution of a specific filtering problem to increase the signal message/noise ratio. The method is a time domain treatment of a geophysical process classified as stochastic non-stationary. The derivation of the estimator is based on the relationship between the Kalman-Bucy and Wiener approaches for linear systems. In the present work we emphasize the criterion used, the model with apriori information, the algorithm, and the quality as related to the results. The examples are for the ideal well-log response, and the results indicate that this method can be used on a variety of geophysical data treatments, and its study clearly offers a proper insight into modeling and processing of geophysical problems.

Load Characterization and Revenue Metering Under Non-Sinusoidal and Asymmetrical Operation

This paper proposes an approach to load characterization and revenue metering, which accounts for the influence of supply deterioration and line impedance. It makes use of the Conservative Power Theory and aims at characterizing the load from the measurements done at the point of common coupling. Despite the inherent limitations of a single-point measurement, the proposed methodology enables evaluation of power terms, which clarify the effects of reactivity, asymmetry and distortion, and attempts to depurate the power consumption accounted to the load from those terms deriving from supply nonidealities.

Numerical modeling of flow through an industrial burner orifice

This paper presents numerical modeling of a turbulent natural gas flow through a non-premixed industrial burner of a slab reheating furnace. The furnace is equipped with diffusion side swirl burners capable of utilizing natural gas or coke oven gas alternatively through the same nozzles. The study is focused on one of the burners of the preheating zone. Computational Fluid Dynamics simulation has been used to predict the burner orifice turbulent flow. Flow rate and pressure at burner upstream were validated by experimental measurements. The outcomes of the numerical modeling are analyzed for the different turbulence models in terms of pressure drop, velocity profiles, and orifice discharge coefficient. The standard, RNG, and Realizable k-epsilon models and Reynolds Stress Model (RSM) have been used. The main purpose of the numerical investigation is to determine the turbulence model that more consistently reproduces the experimental results of the flow through an industrial non-premixed burner orifice. The comparisons between simulations indicate that all the models tested satisfactorily and represent the experimental conditions. However, the Realizable k-epsilon model seems to be the most appropriate turbulence model, since it provides results that are quite similar to the RSM and RNG k-epsilon models, requiring only slightly more computational power than the standard k-epsilon model. (C) 2014 Elsevier Ltd. All rights reserved.

A Multi-Stage Stochastic Non-Linear Model for Reactive Power Planning Under Contingencies

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Modeling of piezoelectric energy harvesting considering the dependence of the rectifier circuit

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A Time-domain Harmonic Power-Flow Analysis in Electrical Energy Distribution Networks, Using Norton Models for Non-linear Loading

The purpose of this paper is to present the application of a three-phase harmonic propagation analysis time-domain tool, using the Norton model to approach the modeling of non-linear loads, making the harmonics currents flow more appropriate to the operation analysis and to the influence of mitigation elements analysis. This software makes it possible to obtain results closer to the real distribution network, considering voltages unbalances, currents imbalances and the application of mitigation elements for harmonic distortions. In this scenario, a real case study with network data and equipments connected to the network will be presented, as well as the modeling of non-linear loads based on real data obtained from some PCCs (Points of Common Coupling) of interests for a distribution company.

O sintagma verbal em português: construções perifrásticas e não-perifrásticas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Ecological strategies of Al-accumulating and non-accumulating functional groups from the cerrado sensu stricto

Coordenação de Aperfei çoamento de Pessoal de Nível Superior (CAPES)

Transtorno dismórfico corporal: uma revisão de literatura

This study aimed to review articles about BDD published from 1980 to 2008, indexed in Lilacs, Francis, Scielo, Psychinfo and Ovid's databases. The main categories of analysis in the study were bibliography, method, results and their specifications. Among the results it is emphasized the considerable increase of publications from 1996 on and the low frequency of national publications on this topic. The articles consulted were mostly of characterization, their designs were more frequent as the non-experimental and experimental and used the verbal report as the main source of data collection. The results of the investigated studies focus mainly the typical behaviors and characteristics of the population diagnosed with BDD. This paper discusses the articles consulted, their contributions to the area and knowledge gaps.

Contingências facilitadoras de comportamento verbal em crianças usuárias de implante coclear e práticas parentais: uma intervenção com mães

Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC

Comportamento, fluência verbal e ritmos circadianos em indivíduos com o Transtorno do Espectro do Autismo (TEA) antes e após o uso de melatonina

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling

Analyses of ecological data should account for the uncertainty in the process(es) that generated the data. However, accounting for these uncertainties is a difficult task, since ecology is known for its complexity. Measurement and/or process errors are often the only sources of uncertainty modeled when addressing complex ecological problems, yet analyses should also account for uncertainty in sampling design, in model specification, in parameters governing the specified model, and in initial and boundary conditions. Only then can we be confident in the scientific inferences and forecasts made from an analysis. Probability and statistics provide a framework that accounts for multiple sources of uncertainty. Given the complexities of ecological studies, the hierarchical statistical model is an invaluable tool. This approach is not new in ecology, and there are many examples (both Bayesian and non-Bayesian) in the literature illustrating the benefits of this approach. In this article, we provide a baseline for concepts, notation, and methods, from which discussion on hierarchical statistical modeling in ecology can proceed. We have also planted some seeds for discussion and tried to show where the practical difficulties lie. Our thesis is that hierarchical statistical modeling is a powerful way of approaching ecological analysis in the presence of inevitable but quantifiable uncertainties, even if practical issues sometimes require pragmatic compromises.