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

Um sistema para a inferência de variáveis usando redes neurais artificiais

This work aims to obtain a low-cost virtual sensor to estimate the quality of LPG. For the acquisition of data from a distillation tower, software HYSYS ® was used to simulate chemical processes. These data will be used for training and validation of an Artificial Neural Network (ANN). This network will aim to estimate from available simulated variables such as temperature, pressure and discharge flow of a distillation tower, the mole fraction of pentane present in LPG. Thus, allowing a better control of product quality

Avaliação das condições higiênico-sanitárias de manipuladores de alimentos e utensílios de mesa de escolas públicas municipais de Natal, RN

In Brazil school food is constitutionally guaranteed to public school students at the preschool and elementary level. This food must be nutritious, hygienic and sanitary. The aim of the present study was to assess the hygienic/sanitary conditions of food and table utensil handlers in municipal public schools in Natal, Brazil. In total, 27 public schools were assessed, using a checklist and microbiological analysis of the hands and table utensils. For the microbiological analyses of the hands, coliforms were analyzed at 45ºC and for the utensils aerobic mesophilic bacteria, using methods recognized by AOAC, 2002 and APHA, 1992, respectively. Most of the schools studied did not exhibit good food and utensil handling practice procedures in any of the variables analyzed. It was shown that 74.1% of the handlers received no periodic training, 51.9% did not undergo annual health examinations and 100% did not practice proper hand hygiene, which reflected significantly (p < 0.05) in hand contamination, where fecal coliforms were detected on 55.6% of the hands analyzed. With respect to the utensils, it was found that 100% of the schools studied did not follow correct hygiene practices and most were classified as very bad ; that is, aerobic mesophilic bacteria values above the limits established by PAHO (Pan American Health Organization), with schools in the north and south districts recording the highest percentages. The results show that the hygienic-sanitary conditions of the food and utensil handlers in the schools studied were inadequate, demonstrating the need for implanting good handling practices aimed at protecting the health of children that take part in the program and offering safer foods. Researchers from the areas of food microbiology, nutrition, public health and statistics participated in this study, a decisive factor for characterizing it as multidisciplinary

Caracterização sócio-demográfica, ocupacional e de formação profissional de manipuladores de alimentos e bebidas em uma capital da região nordeste do Brasil

Universidade Federal do Rio Grande do Norte

Emprego de redes neurais artificiais supervisionadas e não supervisionadas no estudo de parâmetros reológicos de excipientes farmacêuticos sólidos

In this paper artificial neural network (ANN) based on supervised and unsupervised algorithms were investigated for use in the study of rheological parameters of solid pharmaceutical excipients, in order to develop computational tools for manufacturing solid dosage forms. Among four supervised neural networks investigated, the best learning performance was achieved by a feedfoward multilayer perceptron whose architectures was composed by eight neurons in the input layer, sixteen neurons in the hidden layer and one neuron in the output layer. Learning and predictive performance relative to repose angle was poor while to Carr index and Hausner ratio (CI and HR, respectively) showed very good fitting capacity and learning, therefore HR and CI were considered suitable descriptors for the next stage of development of supervised ANNs. Clustering capacity was evaluated for five unsupervised strategies. Network based on purely unsupervised competitive strategies, classic "Winner-Take-All", "Frequency-Sensitive Competitive Learning" and "Rival-Penalize Competitive Learning" (WTA, FSCL and RPCL, respectively) were able to perform clustering from database, however this classification was very poor, showing severe classification errors by grouping data with conflicting properties into the same cluster or even the same neuron. On the other hand it could not be established what was the criteria adopted by the neural network for those clustering. Self-Organizing Maps (SOM) and Neural Gas (NG) networks showed better clustering capacity. Both have recognized the two major groupings of data corresponding to lactose (LAC) and cellulose (CEL). However, SOM showed some errors in classify data from minority excipients, magnesium stearate (EMG) , talc (TLC) and attapulgite (ATP). NG network in turn performed a very consistent classification of data and solve the misclassification of SOM, being the most appropriate network for classifying data of the study. The use of NG network in pharmaceutical technology was still unpublished. NG therefore has great potential for use in the development of software for use in automated classification systems of pharmaceutical powders and as a new tool for mining and clustering data in drug development

Segurança Alimentar e Controle de Qualidade: um estudo da implantação do Programa Alimentos Seguros em supermercados de bairro

This study aimed to analyze the percentage of compliance, related to the requirements of Practice, achieved by 23 supermarkets in neighborhood after the deployment of Food Insurance Program. For its development research methodology adopted was the application start and end of a check-list (tool-specific SBP) in 23 supermarkets, target of this study. After the deployment of PAS was made a comparative study where it was possible to see that these companies need to improve conditions related to food safety, because according to the study, none of the 23 supermarkets evaluated met the criteria recommended by the SBP to 100% of compliance for the items critical of the check-list. Only 04 of the 23 supermarkets were in the range of 80 to 90% of the overall percentage of compliance, representing only 17.3% of the sample. Most of the sample submitted in a regular situation, according to the methodology of Cardoso (2001). Of the 23 supermarkets studied, 03 supermarkets were classified as poor (13.04%), 13 as scheduled (56.52%) as good and 07 (30.43%). You can see improvements in a small part of the sample, but the decline in the percentage of compliance of 02 companies after working for the implementation of the program, showing lack of responsibility and commitment of companies which should have as its top priority to food safety that market

Gestão logística e comércio exterior: um estudo de caso em uma empresa exportadora do setor de alimentos

The thesis argues the importance of the logistic management for the performance of the companies and for the foreign trade. The study is endorsed in construction of one analyses that brings in its essential the underlyng elements for the understanding of the subject. The analyse made from the data of an exporters company of Rio Grande of the Norte, with performance in the branch of candies, allowed to evaluate an efficient of the logistic management, that involving operacional and financial questions, is unavoidable for reduction of costs of the companies and has significant impact is its profitability

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

Estratégia de marketing ambiental no varejo de alimentos: um estudo sobre as variáveis utilizadas pelo consumidor na decisão de compra de produtos orgânicos

Demand for organic foods within in Brazil are growing, characterizing itself for if constituting in a new strategical segment of commercialization. In this context, the objective of this research was to investigate the variables used by consumers in the purchase decision of organic products, aiming to characterize the level of competitiveness of these products, assisting in the creation of environmental strategies for the development of the activity and contributing in the increment of the knowledge about the subject, that can assist it in the increase of the commercialization and the consumption of these foods. From data collected in the city of Natal/RN, it was used a survey research, of exploratory and descriptive character. The sample was obtained using 401 questionnaires, in which was realized: the Test of Comparison of Averages, Descriptive analysis, analysis of Cluster and Qui-square. The results found in this study indicate that the main reasons for the organic food purchase are the absence of chemical pesticides in the product, followed by the care with own health and of the household. The main characteristics in the consumers of supermarkets, that are associates with purchase frequency of organic foods are the environmental behavior and lifestyle. Among the profile characteristics, gender, age and number of children are associates with the purchase frequency of these foods and the income and level education not showed association

Análise e otimização de superfícies seletivas de Frequência utilizando redes neurais artificiais e algoritmos de otimização natural

The bidimensional periodic structures called frequency selective surfaces have been well investigated because of their filtering properties. Similar to the filters that work at the traditional radiofrequency band, such structures can behave as band-stop or pass-band filters, depending on the elements of the array (patch or aperture, respectively) and can be used for a variety of applications, such as: radomes, dichroic reflectors, waveguide filters, artificial magnetic conductors, microwave absorbers etc. To provide high-performance filtering properties at microwave bands, electromagnetic engineers have investigated various types of periodic structures: reconfigurable frequency selective screens, multilayered selective filters, as well as periodic arrays printed on anisotropic dielectric substrates and composed by fractal elements. In general, there is no closed form solution directly from a given desired frequency response to a corresponding device; thus, the analysis of its scattering characteristics requires the application of rigorous full-wave techniques. Besides that, due to the computational complexity of using a full-wave simulator to evaluate the frequency selective surface scattering variables, many electromagnetic engineers still use trial-and-error process until to achieve a given design criterion. As this procedure is very laborious and human dependent, optimization techniques are required to design practical periodic structures with desired filter specifications. Some authors have been employed neural networks and natural optimization algorithms, such as the genetic algorithms and the particle swarm optimization for the frequency selective surface design and optimization. This work has as objective the accomplishment of a rigorous study about the electromagnetic behavior of the periodic structures, enabling the design of efficient devices applied to microwave band. For this, artificial neural networks are used together with natural optimization techniques, allowing the accurate and efficient investigation of various types of frequency selective surfaces, in a simple and fast manner, becoming a powerful tool for the design and optimization of such structures

Identificação remota de sistemas operacionais utilizando análise de processos aleatórios e redes neurais artificiais

A new method to perform TCP/IP fingerprinting is proposed. TCP/IP fingerprinting is the process of identify a remote machine through a TCP/IP based computer network. This method has many applications related to network security. Both intrusion and defence procedures may use this process to achieve their objectives. There are many known methods that perform this process in favorable conditions. However, nowadays there are many adversities that reduce the identification performance. This work aims the creation of a new OS fingerprinting tool that bypass these actual problems. The proposed method is based on the use of attractors reconstruction and neural networks to characterize and classify pseudo-random numbers generators

Sistema Híbrido de Inferência Baseado em Análise de Componentes Principais e Redes Neurais Artificiais Aplicado a Plantas de Processamento de Gás Natural

Nowadays, where the market competition requires products with better quality and a constant search for cost savings and a better use of raw materials, the research for more efficient control strategies becomes vital. In Natural Gas Processin Units (NGPUs), as in the most chemical processes, the quality control is accomplished through their products composition. However, the chemical composition analysis has a long measurement time, even when performed by instruments such as gas chromatographs. This fact hinders the development of control strategies to provide a better process yield. The natural gas processing is one of the most important activities in the petroleum industry. The main economic product of a NGPU is the liquefied petroleum gas (LPG). The LPG is ideally composed by propane and butane, however, in practice, its composition has some contaminants, such as ethane and pentane. In this work is proposed an inferential system using neural networks to estimate the ethane and pentane mole fractions in LPG and the propane mole fraction in residual gas. The goal is to provide the values of these estimated variables in every minute using a single multilayer neural network, making it possibly to apply inferential control techniques in order to monitor the LPG quality and to reduce the propane loss in the process. To develop this work a NGPU was simulated in HYSYS R software, composed by two distillation collumns: deethanizer and debutanizer. The inference is performed through the process variables of the PID controllers present in the instrumentation of these columns. To reduce the complexity of the inferential neural network is used the statistical technique of principal component analysis to decrease the number of network inputs, thus forming a hybrid inferential system. It is also proposed in this work a simple strategy to correct the inferential system in real-time, based on measurements of the chromatographs which may exist in process under study