Programa de aquisição de alimentos (2003-2010): avaliação da implementação pela CONAB no Rio Grande do Norte

This thesis aimed to evaluate the implementation of the Food Acquisition Program(PAA) through CONAB RN in the period of 2003-2010 with the perception of all agents involved in the implementation of the government program.For the methodological trajectory it was adopted a descriptive bibliographical and documentary approach with triangular qualitative and quantitative, also called evaluative research.The theoretical model was supported by the authors Draibe (2001), Aguilar and Ander-Egg (1994) and Silva(2001), among others, that focused on family farming and evaluation of implementation of public policy having as a category of analysis the size implementation of policy and the latter divided into 10 theoretical dimensions.The universe consisted of three groups: the first were the managers and technicians from CONAB(RN and Brasilia), totaling 15 subjects. The second group was of associations/cooperatives that participated in the programin 2010, totaling a sample in each access of 15 representatives. The third group of subjects totaled with 309 representatives of governmental and non-governmental organizations that received donations of food for the same period. Semi-structured interviews and forms were adopted as instruments of data collection.The data were processed qualitatively by the analysis of content (interviews and documents) and quantitatively by means of statistical tests that allowed inferences and adoption of frequencies. Among the key find ingests that the program is not standing as a structure supported by planning. The interests of the performers do not necessarily converge with the objectives of the Food Acquisition Program (PAA). A shockof goals was identified (within the same program) when comparingthe financial agent (Ministry of Rural Development and of Social Development and Fight Against Hunger Ministry r) and the executor, CONAB/RN. Within the assessed dimensions, the most fragileis the sub-managerial decision-making and Organizational Environment and internal assessment, still deserves attention the sizeof logistical and operational Subsystem, as this also proved weak.The focusin the quest toexpand thequantificationof the resultsof theFood Acquisition Program (PAA)by CONAB/RN does forget a quality management focused on what really should be:the compliance with the institutional objectives of the government program.Finally, the perspective for the traded implementation should be re-examined because excessive discretion by managers along with technical staff has characterized there al role of the Food Acquisition Program (PAA) as public policy. We conclude that the implementation model, which apparently aggregates values to the benefitted citizens, has weakened the context of work on family farms having the management model of the implementation process be reviewed by the Federal Government and point too ther paths, which have as a guide line the emancipation and developmentof the field or in the field andat the same time enables the reduction of nutritional deficiency of beneficiaries in a balanced and coherent way

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

Motivação e satisfação à luz do modelo ASH: estudo de caso em indústria de alimentos

Neste estudo, foram examinadas as relações existentes entre a motivação e a satisfação do trabalhador no espaço laboral. O estudo empírico foi conduzido em uma única etapa, por meio da qual buscou-se conhecer as dimensões latentes identificadas e, a partir das dimensões validadas, buscou-se estabelecer relações com características motivacionais, como antecedentes, e satisfação pelo trabalho realizado, como conseqüência do atendimento das necessidades manifestadas pelo trabalhador. Foram entrevistados 38 (trinta e oito) funcionários da empresa Água Mineral Cristalina, incluindo-se os que ocupam cargos de chefia. Como instrumento de coleta de dados, foi utilizada parte do complexo da Auditoria do Sistema Humano ASH, criado por Quijano (1999), que se trata de um modelo de pesquisa na área de Psicologia Social, incluindo a Administração de Recursos Humanos, que analisa os processos psicológicos e psicossociais nas organizações. Para esta pesquisa, foram utilizados dois formulários sugeridos pelo autor citado, (anexos 01 e 02). O primeiro denomina-se condições para a motivação , com 15 (quinze) questões do tipo likert. O segundo, "trabalho bem feito e satisfação de necessidades", tem 22 (vinte e duas) questões, também do tipo likert. O instrumento foi respondido por colaboradores, independente da posição hierárquica, em aproximadamente 10 (dez) a 15 (quinze) minutos. A aplicação foi realizada diretamente pelo pesquisador nas unidades de produção e de administração da empresa. Por meio de modelagem de equações estruturais, foi estabelecido um modelo de relações causais entre as dimensões latentes relacionadas à motivação e o desempenho do empregado quando tem satisfeitas as suas necessidades. Quanto ao tratamento dos dados, este ocorreu de forma quantitativa. Quanto à análise, aconteceu após os dados terem sido tratados. Nesta pesquisa, os dados foram analisados por meio de estatísticas descritivas, atualizando-se os recursos de softwares específicos como Statistic ou SPSS Statistic Package for Social Sciences. Usou-se a técnica de Análise de Regressão, na qual foi utilizado o método STEPWISE que inclui na equação de explicação de uma variável dependente somente aquelas que auxiliam ou incrementam sua explicação. Como variáveis dependentes, foram utilizadas as variáveis do formulário "trabalho bem feito e satisfação de necessidades" e como variável independe as variáveis do questionário "condições para motivação". Sob o ponto de vista prático, este estudo mostrou que um determinado conjunto de características motivacionais influi positivamente na satisfação do trabalhador, que poderá realizar um trabalho bem feito; do lado teórico, a pesquisa verificou explicitamente a hipótese de que os aspectos motivacionais contribuem para que o empregado, sentindo-se satisfeito, desempenhe melhor as atribuições que lhe são conferidas

Características limnológicas e estrutura trófica das comunidades de peixes de alguns lagos naturais e artificiais do Rio Grande do Norte

Artificial lakes must differ from natural lakes in important structural and functional aspects that need to be understood so that these ecosystems can be properly managed. The aim of this work was to test the hypothesis that the artificial lakes (impoundments) in the semi-arid region of the Rio Grande do Norte State are more eutrophic and turbid and have different trophic structure when compared to the natural coastal lakes that occur in the humid eastern coast of the State. To test this hypothesis, 10 natural lakes and 8 artificial lakes with about 100 ha were sampled between September and November 2005 for the determination of some limnological variables and the abundance of the main fish species, which were grouped in three trophic guilds: facultative piscivores, facultative planktivores and omnivores. The results show that the artificial lakes had significantly higher concentrations of total nitrogen, total phosphorus, chlorophyll a , total and volatile suspended solids than the natural lakes. Results also show that the values of pH, total alkalinity, electric conductivity, turbidity as well as the coefficient of vertical attenuation of light were significantly higher in the artificial lakes than in the natural lakes. In the artificial lakes, the abundance of facultative planktivores was significantly higher, while the abundance of facultative piscivores significantly lower than in the natural lakes. There was no significant difference in the abundance of omnivorous fish between the two types of lakes. These results suggest that the increase in turbidity together with the other changes in the water quality of the artificial lakes, modifies the trophic structure of the fish communities reducing the importance of piscivores and the length of the food chains