Avaliação da capacidade para o trabalho do servidor público: um estudo de caso em uma instituição federal de ensino superior

The ability to work, considered as resulting from a dynamic process between the individual resources in relation to their work, influenced from various factors such as sociodemographic, lifestyle, aging process and requirements of work. Aiming analyze the ability to work in a population of public servants, the study analyzed 132 public servants volunteers of the infrastructure sector, in a Federal Institution of Higher Education of the state of Rio Grande do Norte, Northeast, Brazil. Data were collected through a questionnaire called the Index of Capacity for Work - ICT. The variable analysis was done by using descriptive statistics of means, standard deviations, median minimum and maximum values of the scores of quantitative variables. The joint analysis of the variables was performed by multiple linear regression. The server had low capacity to work 11 (8.33%), moderate 31 (23.48%), good 54 (40.91), and Great 28 (21.21). Multiple regression analysis, adjusted for age, sex, education, age started to work, length of service, current capacity and full of disease, showed that best explained the variation of the CTI were age, current capacity and full of disease. The survey showed that 75% of the servers showed ICT below 43, so capacity low, moderate or good and only 25% of respondents had the CTI servers over 43 points, so great capacity for work. According to the recommendations of FIOH - Finnish Institute of Occupational Health, for servers that have these scores be implemented whose objective is to restore the ability to work which is low, improving the capacity for moderate work, support the capacity for the good work and maintain the ability to work great. Therefore, we recommend that the ICT is implemented in other units of the IFES survey in the perspective of achieving a real situation of all its servers, enabling the implementation of these measures as necessary to promote recovery and health of its employees.

Models for the analysis of growth curves for rearing tinamous (Rhynchotus rufescens) in captivity

Growth curves models provide a visual assessment of growth as a function of time, and prediction body weight at a specific age. This study aimed at estimating tinamous growth curve using different models, and at verifying their goodness of fit. A total number 11,639 weight records from 411 birds, being 6,671 from females and 3,095 from males, was analyzed. The highest estimates of a parameter were obtained using Brody (BD), von Bertalanffy (VB), Gompertz (GP,) and Logistic function (LG). Adult females were 5.7% heavier than males. The highest estimates of b parameter were obtained in the LG, GP, BID, and VB models. The estimated k parameter values in decreasing order were obtained in LG, GP, VB, and BID models. The correlation between the parameters a and k showed heavier birds are less precocious than the lighter. The estimates of intercept, linear regression coefficient, quadratic regression coefficient, and differences between quadratic coefficient of functions and estimated ties of quadratic-quadratic-quadratic segmented polynomials (QQQSP) were: 31.1732 +/- 2.41339; 3.07898 +/- 0.13287; 0.02689 +/- 0.00152; -0.05566 +/- 0.00193; 0.02349 +/- 0.00107, and 57 and 145 days, respectively. The estimated predicted mean error values (PME) of VB, GP, BID, LG, and QQQSP models were, respectively, 0.8353; 0.01715; -0.6939; -2.2453; and -0.7544%. The coefficient of determination (RI) and least square error values (MS) showed similar results. In conclusion, the VB and the QQQSP models adequately described tinamous growth. The best model to describe tinamous growth was the Gompertz model, because it presented the highest R-2 values, easiness of convergence, lower PME, and the easiness of parameter biological interpretation.

Dogs can detect scat samples more efficiently than humans: an experiment in a continuous Atlantic Forest remnant

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Uma perspectiva de extensão do modelo de aceitação de tecnologia para explicar o uso de linguagens de desenvolvimento WEB: pesquisa com desenvolvedores Pyton e Java

The spread of the Web boosted the dissemination of Information Systems (IS) based on the Web. In order to support the implementation of these systems, several technologies came up or evolved with this purpose, namely the programming languages. The Technology Acceptance Model TAM (Davis, 1986) was conceived aiming to evaluate the acceptance/use of information technologies by their users. A lot of studies and many applications have used the TAM, however, in the literature it was not found a mention of the use of such model related to the use of programming languages. This study aims to investigate which factors influence the use of programming languages on the development of Web systems by their developers, applying an extension of the TAM, proposed in this work. To do so, a research was done with Web developers in two Yahoo groups: java-br and python-brasil, where 26 Java questionnaires and 39 Python questionnaires were fully answered. The questionnaire had general questions and questions which measured intrinsic and extrinsic factors of the programming languages, the perceived usefulness, the perceived ease of use, the attitude toward the using and the programming language use. Most of the respondents were men, graduate, between 20 and 30 years old, working in the southeast and south regions. The research was descriptive in the sense of its objectives. Statistical tools, descriptive statistics, main components and linear regression analysis were used for the data analysis. The foremost research results were: Java and Python have machine independence, extensibility, generality and reliability; Java and Python are more used by corporations and international organizations than supported by the government or educational institutions; there are more Java programmers than Python programmers; the perceived usefulness is influenced by the perceived ease of use; the generality and the extensibility are intrinsic factors of programming languages which influence the perceived ease of use; the perceived ease of use influences the attitude toward the using of the programming language

Efeitos genéticos e não-genéticos sobre o intervalo de parto em fêmeas suínas no Sudeste do Brasil

The effect of environmental and genetic effects on the farrowing interval in Dalland (C-40) sows in the Southeast of Brazil was studied. Data consisting of 1,013 farrowing intervals recorded in two herds were analyzed, using a model that included the sire and the dam as random effects and the year of farrowing, the herd and the farrowing season as fixed effects, plus the covariables sow's age at farrowing, litter size at birth, lactation length and weaning-estrus interval. For the farrowing interval first only, variance components were estimated by REML, with an animal model that included, as fixed effect, a contemporary group and, as random effects, the additive genetic variance and the error. The mean farrowing interval was 140.9+5.7 days, with a 4.0% coefficient of variation. Variance analysis showed no effect of either year, season of farrowing or herd on the farrowing interval. The sire effect was not important for the farrowing interval, but the dam represented an important source of variation. The total number of piglets born and the sow's age at farrowing had no influence on the farrowing interval. The length of lactation exerted an influence on the farrowing interval, accounting for 19.4% of the total variation of this trait. Likewise, the linear regression of the weaning-estrus interval in relation to the farrowing interval was highly significant, accounting for 51.7% of the total variation. The heritability estimate was 0.00, suggesting that no genetic gain can be obtained by selection for a shorter farrowing interval.

Parâmetros genéticos para produção de leite no dia do controle e para produção de leite até 305 dias nas primeiras lactações de vacas da raça Gir

Foram estimados parâmetros genéticos para as produções de leite no dia do controle (PLDC) e para a produção acumulada até 305 dias (P305) de 2.440 primeiras lactações de vacas da raça Gir leiteiro com partos entre 1990 e 2005. A produção acumulada até 305 dias e as produções de leite no dia do controle foram analisadas por meio de um modelo animal em análises uni e bicaracterísticas. Para as produções no dia do controle, o modelo incluiu o efeito aleatório genético direto e os efeitos fixos de grupo de contemporâneos, classe de idade da vaca ao parto e dias em lactação como co-variável (regressão linear). Para a P305, utilizou-se o mesmo modelo, excluindo-se os dias em lactação e utilizando-se a idade da vaca ao primeiro parto como co-variável (regressão linear e quadrática). O grupo de contemporâneos (GC) foi definido como rebanho, ano e estação do controle para produções no dia do controle e rebanho, ano e época de parto para P305. Aplicou-se a restrição de que cada grupo de contemporâneo deveria conter no mínimo três observações no caso das produções no dia do controle e cinco observações para P305. Os componentes de variância foram estimados pelo método de máxima verossimilhança restrita. Os valores maiores de variâncias fenotípicas foram observados no meio da lactação e os das variâncias aditivas no início da lactação. As estimativas de herdabilidade obtidas pelas análises unicaracterísticas oscilaram entre 0,13 e 0,36, enquanto as obtidas por análises bi-características oscilaram entre 0,14 e 0,34. Para as duas análises, essas estimativas foram maiores nos primeiros e menores nos últimos controles. As correlações genéticas entre as produções no dia do controle foram elevadas e positivas e maiores entre os controles mais próximos. Os resultados sugerem que as produções no dia do controle podem ser utilizadas como critério de seleção para produção de leite da raça Gir.

A influência da responsabilidade social empresarial na satisfação e fidelidade do cliente : um estudo com compradores de automóveis

This study presents an investigation of the influence of Corporate Social Responsibility (CSR) in customer s satisfaction and loyalty through a study with car s buyers, besides that, it aims to contribute to conceptual models of satisfaction and loyalty analysis by applying the model of Johnson et al. (2001), adapted for the introduction of variables of CSR and conscious consumption, in a car dealership in Natal / RN. The methodology has a descriptive quantitative approach and for the analysis results were applied statistical methods of simple and multiple linear regression analysis, descriptive analysis and exploratory analysis. The field research provided 90 valid forms. The results show that CSR affects the image of the company studied and is also one of the elements of the compound of satisfaction and loyalty. This study concludes that CSR should be considered in the strategic and marketing actions of firms

Avaliação de programa de ginástica laboral e desempenho funcional: um estudo em empresa distribuidora de energia elétrica

This thesis treats of a avaliation of a laboral gimnastics program of a electrical energy enterprise from Rio Grande do Norte. The leading aim of this work is to analyse the laboral gimnastics program with emphasis on functional performing and personal changes of staff of different categories. The work shows two divisions: at first, it was carried out the bibliographic study approaching the concepts and historic about the ergonomy and the main focus of study, the laboral gimnastics , performing factors and lifestyle.The second time , it was carried out the field study where was used a questionnaire to a 160 staff population which participate of laboral gymnastics program; then the data were analysed through three statistics analyses: multivaried__ clusters, qui-quadrado and multiple linear regression. The results aim to the confirmation that the laboral gymnastics program developed two years ago on enterprise proposes to the white-collar and operational workers an improving on their functional performing and also, to the changes in some aspects of lifestyle, like the food, leisure and stress level. In conclusion, it was checked that the investiment in life quality programs offer benefits both to the staff and the enterprise which will account with good services and satisfaction of customer. Therefore, it was concluded that the laboral gymnastics while a ergonomic tool and a physical activity, it is an investiment which needs more and more to be strengthened and inserted by many segments of society

Exigência de lisina para mantença determinada com galos de diferentes genótipos

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

Fine root isotropy in Eucalyptus grandis plantations. Towards the prediction of root length densities from root counts on trench walls

The objectives of the study were to assess changes in fine root anisotropy and specific root lengths throughout the development of Eucalyptus grandis ( W. Hill ex Maiden) plantations and to establish a predictive model of root length density (RLD) from root intercept counts on trench walls. Fine root densities (<1 mm in diameter) were studied in 6-, 12-, 22-, 28-, 54-, 68- and 72-month-old E. grandis plantations established on deep Ferralsols in southern Brazil. Fine root intercepts were counted on 3 faces of 90-198 soil cubes (1 dm(3) in volume) in each stand and fine root lengths (L) were measured inside 576 soil cubes, sampled between the depths of 10 cm and 290 cm. The number of fine root intercepts was counted on one vertical face perpendicular to the planting row (N(t)), one vertical face parallel to the planting row (N(l)) and one horizontal face (N(h)), for each soil cube sampled. An overall isotropy of fine roots was shown by paired Student's t-tests between the numbers of fine roots intersecting each face of soil cubes at most stand ages and soil depths. Specific root lengths decreased with stand age in the upper soil layers and tended to increase in deep soil layers at the end of the rotation. A linear regression established between N(t) and L for all the soil cubes sampled accounted for 36% of the variability of L. Such a regression computed for mean Nt and L values at each sampling depth and stand age explained only 55% of the variability, as a result of large differences in the relationship between L and Nt depending on stand productivity. The equation RLD=1.89*LAI*N(t), where LAI was the stand leaf area index (m(2) m(-2)) and Nt was expressed as the number of root intercepts per cm(2), made it possible to predict accurately (R(2)=0.84) and without bias the mean RLDs (cm cm(-3)) per depth in each stand, for the whole data set of 576 soil cubes sampled between 2 years of age and the end of the rotation.

Estimativa da radiação solar global diária em função do potencial de energia solar na superfície do solo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Albedo e estimativas do saldo de radiação em feijão-vagem sob cobertura de plástico e ambiente externo

Este trabalho objetivou determinar o albedo (r) no espectro solar e estimar o saldo de radiação, em ambientes cultivados com feijão-vagem (Phaseolus vulgaris L.), em condições de campo e em casa de vegetação com cobertura de polietileno, em Botucatu, SP, (22º 54' S; 48º 27' W; 850 m). A irradiância solar global (Rg) e a radiação solar refletida (Rr) foram utilizadas na determinação do albedo através da razão entre Rr e Rg. Curvas diurnas de r foram traçadas para dias com céu parcialmente nublado e claro, em fases fenológicas da cultura. Os valores do albedo diurno, obtidos através dos totais de radiações, foram utilizados para analisar a variação desse índice durante o ciclo da cultura, nos dois ambientes. O albedo variou com a elevação solar, o ambiente e as fases fenológicas da cultura. A variação de nebulosidade praticamente não influiu sobre o albedo, para totais diurnos. As estimativas do saldo de radiação nas fases vegetativa, reprodutiva e no ciclo da cultura, foram realizadas por meio de regressões lineares simples, tendo como variáveis independentes a irradiância solar global (Rg) e o saldo de radiação de ondas curtas (Rc). Todas as estimativas de radiações apresentaram um melhor ajustamento para fases fenológicas que para o ciclo como um todo. O saldo de radiação (Rn), em condições de campo, ficou bem estimado pela irradiância solar global e o saldo de ondas curtas. O saldo de radiação interno (RnI) à casa de vegetação mostrou-se satisfatoriamente estimado pela irradiância global externa (RgE).

Estimativa de safra para a cultura do milho através do filme infravermelho colorido

O sistema tradicional para estimativas de safra utiliza-se de relatórios técnicos de fontes diversas. A coleta de informações, se inicia antes da época do plantio e as estimativas são vendo ajustadas de acordo com o desenvolvimento das culturas. O trabalho em questão, pretende mostrar as possibilidades do filme infravermelho colorido na estimativa de safra para a cultura do milho. As informações quantitativas foram obtidas através da densitometria de transmissão. Os trabalhos foram conduzidos na Fazenda Experimental São Manuel da Faculdade de Ciências Agronômicas - Campus de Botucatu - UNESP. Os seis tratamentos consistiram em doses diferenciais de adubo, prevendo prováveis quedas em produção. A cultura foi fotografada com filme colorido (Kodak Ektachrome 64 ASA) e infravermelho colorido (Kodak Ektachrome Infrared Film) e a densidade ótica medida em um microdensitômetro de transmissão marca Weston, modelo 877 e abertura de 0,8 mm. Para avaliar a interação entre Produção e Densidade Ótica, utilizou-se das análises de correlação e regressão linear. A análise dos resultados permitiram as seguintes conclusões principais: a) Desde que se faça as necessárias calibrações, o filme infravermelho pode ser utilizado na estimativa de safra para a cultura do milho; b) A utilização do densitômetro de transmissão, para a interpretação quantitativa dos resultados, revelou-se importante sugerindo a aplicação do método em outros tipos de culturas.

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

Relações entre a produção de laranjeira 'Westin' e as precipitações em Botucatu, SP

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)