Aspectos cognitivos dos manuais de instruções: um estudo de caso em aparelhos de DVD

This work aims to present an investigation on the level of understanding in the informative texts enclosed in manuals of instructions of a DVD set, trying to identify what makes consumers use or not manuals of instructions which accompany the products. It analyses factors that affect the motivation to use manuals and, linguistically, to verify whether the language used in the manuals is adapted for the understanding of the information by the consumer. Under an ergonomic approach, the research tries to recognize whether it is accordance in the information contained in manuals. According to the production engineering, it is very important to insert the best production practical and administration of the product in the companies, aiming the best competitiveness, The present study suggests a route to evaluate manuals of instructions of a DVD set, using for that a questionnaire with closed questions and an open one, applied to students, employees and teachers of an agricultural school bonded to Rio Grande do Norte Federal University. The results can contribute to provide helps to industry in presentation quality betterment of its information, and becoming the consumer integral part of that improvement process

Comparison of selective genotyping strategies for prediction of breeding values in a population undergoing selection

Genomewide marker information can improve the reliability of breeding value predictions for young selection candidates in genomic selection. However, the cost of genotyping limits its use to elite animals, and how such selective genotyping affects predictive ability of genomic selection models is an open question. We performed a simulation study to evaluate the quality of breeding value predictions for selection candidates based on different selective genotyping strategies in a population undergoing selection. The genome consisted of 10 chromosomes of 100 cM each. After 5,000 generations of random mating with a population size of 100 (50 males and 50 females), generation G(0) (reference population) was produced via a full factorial mating between the 50 males and 50 females from generation 5,000. Different levels of selection intensities (animals with the largest yield deviation value) in G(0) or random sampling (no selection) were used to produce offspring of G(0) generation (G(1)). Five genotyping strategies were used to choose 500 animals in G(0) to be genotyped: 1) Random: randomly selected animals, 2) Top: animals with largest yield deviation values, 3) Bottom: animals with lowest yield deviations values, 4) Extreme: animals with the 250 largest and the 250 lowest yield deviations values, and 5) Less Related: less genetically related animals. The number of individuals in G(0) and G(1) was fixed at 2,500 each, and different levels of heritability were considered (0.10, 0.25, and 0.50). Additionally, all 5 selective genotyping strategies (Random, Top, Bottom, Extreme, and Less Related) were applied to an indicator trait in generation G(0), and the results were evaluated for the target trait in generation G(1), with the genetic correlation between the 2 traits set to 0.50. The 5 genotyping strategies applied to individuals in G(0) (reference population) were compared in terms of their ability to predict the genetic values of the animals in G(1) (selection candidates). Lower correlations between genomic-based estimates of breeding values (GEBV) and true breeding values (TBV) were obtained when using the Bottom strategy. For Random, Extreme, and Less Related strategies, the correlation between GEBV and TBV became slightly larger as selection intensity decreased and was largest when no selection occurred. These 3 strategies were better than the Top approach. In addition, the Extreme, Random, and Less Related strategies had smaller predictive mean squared errors (PMSE) followed by the Top and Bottom methods. Overall, the Extreme genotyping strategy led to the best predictive ability of breeding values, indicating that animals with extreme yield deviations values in a reference population are the most informative when training genomic selection models.

Aspectos linguístico-ergonômicos em rótulos: avaliação da linguagem verbo-visual de rótulos de embalagens para alimentos achocolatados

We have been living in a world of packed products. The package and the labels support the companies to communicate with the customers in addition to give protection, storage and convenience in proportion to the products that move in the price list. The labels mainly add up a value which helps the companies differ their products and increase the value of the brands among the final customers. However, the information given in the label are not clear sometimes. It displays a verbal-visual defective language resulted from a poor visibility, legibleness and comprehensibleness of the verbal and visual marks. The aim of this research is to verify, according to the costumers‟ view, the level of the clarity in the informative texts, harmony and ergonomic conformity of the package labels in the chocolate powder of the Claralate brand, considering the linguistic aspects presented on the labels. The criteria to evaluate the chocolate package selected were based on the linguistic field: the organization and the structure of the text derided from the classification of the textual genre; the clarity and the comprehension of the language utilized on those labels. From the ergonomic view, the informative and ergonomic conformity, based on the following requirements: legibility, symbols, characters, reading fields and intermission of the written lines. Therefore, the research done july 2007 and added july 2011 had a structured questionnaire in the interview put to the 118 customers of the chocolate package that go shopping in one of the two supermarkets in Floriano, Piauí São Jorge and/or Super Quaresma. The main results of the investigation show that the linguistic aspects in the informative texts of the labels provide the customers‟ expectancy partially, while the consideration of the informative ergonomic analyzed can contribute to the improvement of the information and consequent visual progress of those, on the labels of chocolate package investigated. As recommendation towards the maker of the product, the outcome of the research indicates: harmonize the proportion of the letters and numbers; enlarge the letters size; make the visual information more comprehensive determined by the reading field; put the expiry date in a better visual place

Avaliação dos textos informativos em três embalagens de café

O presente trabalho tem o objetivo de apresentar uma investigação sobre o nível de clareza dos textos informativos dos rótulos de embalagens de café torrado e moído, considerando os aspectos lingüísticos e ergonômicos presentes nos rótulos do produto. Lingüisticamente analisar se a linguagem utilizada nos rótulos é adequada para a compreensão das informações pelo consumidor, ainda expor como a lingüística preconiza a organização e estruturação dos textos a partir da classificação do gênero textual. Do ponto de vista da ergonomia a pesquisa pretende identificar a conformidade ergonômica presente nas informações dos rótulos das embalagens de café. Devido à evolução das atividades comerciais, a embalagem passou ao longo do tempo a acumular funções, transformando-se em um considerável veículo de comunicação, informação e sedução do seu público consumidor, por isso, a adoção de normas adequadas relativas às informações pode evitar que o consumidor desenvolva conceitos inadequados ou até mesmo empregue erroneamente um produto alimentício em sua dieta. A engenharia de produção considera importante a inserção de melhores práticas de produção e gestão do produto nas empresas, com vistas ao aumento de sua competitividade, compatibilizando as características ergonômicas do produto embalagem, com as necessidades do consumidor enquanto parte integrante do processo de desenvolvimento do produto. A pesquisa propõe, então, um roteiro para avaliação dos rótulos de embalagens, utilizando para isso um questionário com questões fechadas e uma aberta, aplicados em consumidores de café torrado e moído no momento da compra em quatro supermercados de Natal. Os principais resultados da investigação demonstram que os aspectos lingüísticos dos textos informativos foram considerados bons, enquanto os aspectos ergonômicos informacionais analisados podem vir a contribuir para uma melhoria visual das informações contidas nos rótulos das embalagens das marcas de café investigadas

Aplicação de técnicas de aprendizado de máquina no reconhecimento de classes estruturais de proteínas

Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated