Psychophysical power functions for apparent area in perceptive, memory, and inference conditions for observers of different age groups

The purpose of this research was to verify the effect of age on the exponent of the power function in Perceptive, Memory, and Inference experimental conditions. In the Memory condition the intervals of 2 min., 8, 24, and 48 hr. and 1 wk. were used between acquisition of information and remembering. For each experimental condition the ages of observers ranged between 17 and 35 years (Group I), 40-55 years (Group II), and 60-77 years (Group III), and education ranged from high school to graduate school. The observers estimated the areas of the Brazilian states using the psychophysical method of magnitude estimation. No significant differences were obtained for Groups I, II, and III for each experimental condition, except in the Memory Condition with the 24-hr. interval. Analysis for experimental conditions and ages showed a significant difference between the Perceptive Condition and each of the others, but no difference between the Inference and Memory Conditions. These results indicated that in the remembering processes there is no loss of information as a function of age. From the small variability in the power function exponents for the three ages, we may assume that age could be related to amount of education of the observers, which suggests study is important.

A validação do Teste de Juízo Moral (MJT) para diferentes culturas: o caso brasileiro

The present article deals with the adaptation of the Moral Judgment Test (MJT) for the Portuguese language. The principles of the test, its format and the process of content, construct and criterion validation are presented. In the same way, reliability is discussed using Brazilian research results that produced the necessity of elaborating another dilemma to compose the MJT-xt (extended).

Genetic parameters by Bayesian inference for dual purpose Jaffarabadi buffaloes

Knowledge of genetic parameters is essential for improved reproductive management and increased yield. Quantitative analysis of genetic parameters is lacking for many breeds of buffaloes. This article provides the first estimate of genetic parameters for dual purpose (meat and milk) Brazilian Jaffarabadi buffaloes, using Bayesian inference. Data on milk yield (MY), lactation length (LL), weight at 205 days (W205) and 365 (W365) days of age, and average daily gain (ADG) from 205 to 365 days of age were collected in two herds. Bivariate analyses (using the program MTGSAM) were performed with the Gibbs sampler to obtain estimates of variance and covariance. Average lactation milk yield and lactation length were 1 620.2 +/- 450.9 kg and 257.6 +/- 46.8 days, respectively, and the mean values for weight traits (kg) were 181.6 +/- 63.3 (W205), 298.04 +/- 116.1 (W365), and 0.73 +/- 0.35 (ADG). Heritability estimates (modes) were 0.16 for MY, 0.10 for LL, 0.43 for W205, 0.48 for W365 and 0.32 for ADG. There was a high genetic correlation (0.96) between milk yield and lactation length and very high genetic correlations (0.99) between the three growth traits. Our data suggest that both milk production and growth traits have clear potential for yield improvement through direct selection in this dual purpose breed. The selection for weight at an early age would be successful and selection for MY can be performed in the first lactation.

Optimum design of experiments for statistical inference

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

Tuning of fuzzy inference systems through unconstrained optimization techniques

This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy inference system, such as its intrinsic parameters of the membership function and the weights of the inference rules. This methodology is interesting, not only for the results presented and obtained through computer simulations, but also for its generality concerning to the kind of fuzzy inference system used. Therefore, this methodology is expandable either to the Mandani architecture or also to that suggested by Takagi-Sugeno. The validation of the presented methodology is accomplished through an estimation of time series. More specifically, the Mackey-Glass chaotic time series estimation is used for the validation of the proposed methodology.

Efficient parametric adjustment of fuzzy inference system using unconstrained optimization

This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic parameters of the membership function and the weights of the inference rules, are automatically adjusted. This methodology is interesting, not only for the results presented and obtained through computer simulations, but also for its generality concerning to the kind of fuzzy inference system used. Therefore, this methodology is expandable either to the Mandani architecture or also to that suggested by Takagi-Sugeno. The validation of the presented methodology is accomplished through estimation of time series and by a mathematical modeling problem. More specifically, the Mackey-Glass chaotic time series is used for the validation of the proposed methodology. © Springer-Verlag Berlin Heidelberg 2007.

B. F. Skinner: Teórico da ciência e teórico da moral?

Would Skinner's moral theory be dependent on his scientific theory to the point of becoming meaningless without it? The mere suggestion of such hypothesis brings the problem of naturalistic fallacy, that is, the problem of deriving statements of ought kind from statements of is kind. This issue is used here as an indication that suggests how problematic sustaining a moral and a scientific theory in the same ambit can be. The aim of this article, in this context, is to analyze if that is the case of Radical Behaviorism. Inspired by the naturalistic fallacy dilemma, the first step is to expose the structural and functional differences between statements of ought kind and statements of is kind. To do so, the strategy is to present, under the scope of language philosophy, the differences between factual and valuative assertions. The next step consists in analyzing what the nature of relations between Skinner's scientific and moral theories is. That is, if there are necessary or contingencial relations. By doing so it is expected to be plausible the presentation of a possible answer to the central question of this article.

Use of bayesian inference to correlate in vitro embryo production and in vivo fertility in Zebu Bulls

The objective of this experiment was to test in vitro embryo production (IVP) as a tool to estimate fertility performance in zebu bulls using Bayesian inference statistics. Oocytes were matured and fertilized in vitro using sperm cells from three different Zebu bulls (V, T, and G). The three bulls presented similar results with regard to pronuclear formation and blastocyst formation rates. However, the cleavage rates were different between bulls. The estimated conception rates based on combined data of cleavage and blastocyst formation were very similar to the true conception rates observed for the same bulls after a fixed-time artificial insemination program. Moreover, even when we used cleavage rate data only or blastocyst formation data only, the estimated conception rates were still close to the true conception rates. We conclude that Bayesian inference is an effective statistical procedure to estimate in vivo bull fertility using data from IVP. © 2011 Mateus José Sudano et al.

A proposal for reliability evaluation of components on electric power distribution system integrating probabilistic models and fuzzy inference systems

The system reliability depends on the reliability of its components itself. Therefore, it is necessary a methodology capable of inferring the state of functionality of these components to establish reliable indices of quality. Allocation models for maintenance and protective devices, among others, have been used in order to improve the quality and availability of services on electric power distribution systems. This paper proposes a methodology for assessing the reliability of distribution system components in an integrated way, using probabilistic models and fuzzy inference systems to infer about the operation probability of each component. © 2012 IEEE.

Moral judgment competence of medical students: a transcultural study

The authors conducted a cross-sectional short-term study using Lind's Moral Judgment Test (MJT) to compare moral judgment competence (C-score) among students from a medical school in the Northeast region of Brazil and a medical school in the Northern region of Portugal. This study compares the C-scores of groups in the first and eighth semesters of study within each medical school and groups from corresponding semesters between the two medical schools. This study also evaluates the influence of such factors as age and gender on moral competence. A regression of moral judgment competence among the students in their eighth semester versus the students in the first semester of Brazilian medical school (p < 0.001) and a stagnation of moral competence among students in their eighth semester versus the first semester students in the Portuguese medical school (p = 0.06) were observed. For both the first semester and eighth semester groups, the students in the Portuguese medical school had higher C-scores than the students in the Brazilian medical school. In the analysis of the students' performances in terms of MJT dilemmas, the phenomenon of moral segmentation was observed in all of the groups, and the students performed better on the worker's dilemma than on the doctor's dilemma. Among students in the same semester of study, older students had lower C-scores. There was generally no significant difference between men's and women's C-scores. © 2013 Springer Science+Business Media Dordrecht.

Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements

Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active components (OAC). Among these, the phytoplankton pigment chlorophyll a is the most representative pigment of photosynthetic activity in all classes of algae. In this sense, this work aims to develop a method of spatial inference of chlorophyll a concentration using Artificial Neural Networks (ANN). To achieve this purpose, a multispectral image and fluorometric measurements were used as input data. The multispectral image was processed and the net training and validation dataset were carefully chosen. From this, the neural net architecture and its parameters were defined to model the variable of interest. In the end of training phase, the trained network was applied to the image and a qualitative analysis was done. Thus, it was noticed that the integration of fluorometric and multispectral data provided good results in the chlorophyll a inference, when combined in a structure of artificial neural networks.

O desenvolvimento do raciocínio moral por meio da técnica da discussão moral: estudo realizado com alunos do ensino fundamental, na disciplina de Língua Portuguesa

Pós-graduação em Educação - IBRC

Desenvolvimento moral e história de vida: um estudo sobre os princípios éticos subjacentes às ações do líder comunidade

Pós-graduação em Educação - IBRC

Indisciplina escolar e relação professor - aluno, uma análise sob as perspectivas moral e institucional

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)