7 resultados para Programa de aplicação

em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)


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Brazil has a great diversity of native fruits, which are not always widely consumed, being sold only in certain regions, due to their difficulty of post-harvest conservation. One such fruit is yellow guava, interesting source of nutrients. To promote the consumption and use of this fruit to the consumer public in different regions of the country, this study evaluated the incorporation of yellow Ya-cy araçá in formulating a cereal bar. Therefore, fruits were evaluated for their chemical, physical and chemical characteristics and bioactive compounds in different stages of maturation yellow guava (green, mature and dried forms). The behavior of guava yellow front of to UV-C radiation was also evaluated. After these reviews, there was obtained yellow ripe guava flour after previous tests, was added to the base formulation cereal bar. For the experimental planning and development of the formulations was used factorial design 22 with a central point. The developed formulations were subjected to sensory evaluation using for treatment of multivariate data analysis (Principal Component Analysis- ACP). The preferred formulation in sensory evaluation was evaluated in their physical characteristics (texture), physical-chemical (moisture, ash, lipids, proteins, carbohydrates, dietary fiber and calorie), mineral content and fatty acid profile. The results indicated that the added yellow guava cereal bar developed in this study is one way to application and use of guava, increasing the consumption of fruit to different regions of the country, and can be considered a functional product, not only to contain the fruit in its composition, but also to present many beneficial nutrients that contribute to the health of consumers.

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An effective hygiene and sanitation inspection of meat and meat products is essential for its production and commercialization. For this reason, the national and international standards responsible for these products quality control employs microbiological analyses methods as quality control tools. In December of 2012, it was included in the Ministério da Agricultura Pecuária e Abastecimento (MAPA) website, a Microbiological Scope of food and water, which presents the replacement of some methods proposed by the Normative Instruction 62. Some of these methodologies are considered rapid, practical and convenient. However, other methodologies were still replaced by conventional ones, which presents disadvantages as incorrect interpretations of the microorganism phenotypical and biochemical characteristics, leading to the misinterpretation of test results. Therefore, the objective of this study is to develop a comprehensive, practical and illustrative guidebook of microbiological analysis for in natura poultry cuts. The methods addressed in this guide are the official standards analysis required by the poultry cuts legislation, which are the Escherichia coli count, the thermotolerant coliforms count, the aerobic plate count and the detection of Salmonella spp. The approached methodologies for these analysis will be the AOAC 998.08, the Normative Instruction 62 and the ISO 4833-1:2013 and ISO 6579:2002, respectively. In these events, it is expected to obtain an enlightening and approved guidebook evaluated by laboratory technicians, which will help reduce the analytical subjectivity leading to a more reliable interpretation of the test results.

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The knowledge of molybdenum application in legumes on the availability of N, by BNF, increased enzymatic activity and the residual effect caused on crops growth and yield can contribute to the greater scientific understanding involved in green manure processes. The aim of this study was to evaluate the Mo application and the N from Crotalaria juncea and Canavalia ensiformis green manures on common bean performance. Were conducted field experiments for the crops succession system (green manures - common bean) and laboratory essays for the enzymatic activities. Green manure production was installed in a factorial arrangement 2 x 4, with two green manure legumes species, sunnhemp (Crotalaria juncea) and jack beans (Canavalia ensiformis), and four Mo doses (0, 40, 80, 120 g ha-1) in the form of sodium molybdate (Na2MoO4), foliar applied, in a randomized block design with four replicates. For succession crop (common bean) additional treatment was added, beans grown without any fertilization, following the same experimental design from the previous crop. The dry matter decomposition and the N mineralization of green manure were monitored through collection of residues over time, by using the litter bags method. In laboratory were carried out tests of nitrate reductase activity in green manures and common beans at 90 and 66 days after sowing, respectively. The sunnhemp responded linearly positively to the application of Mo as the dry matter and N accumulation. While the jack beans presented a negative quadratic response for dry matter and there was no adjustment of regression models to N. The jack beans showed a higher decomposition rate and N mineralization compared to sunnhemp. The half lives for decomposing 50% of dry matter on the soil was 123 and 104 days to sunnhemp and jack beans, respectively, and 50% of N present in the residues was mineralized at 93 and 85 days. In common bean, differed from the control for number of pods the dose of 40 g ha-1 of Mo in both species of green manures and the dose 80 g ha-1 of Mo in jack beans. For number of grains only in sunnhemp on the dose of 40 g ha-1 of Mo differ from the control. The nitrate reductase activity was influenced by developmental stage of green manure species. In common bean, the activity of nitrate reductase was up to three times higher than the dose 0 g ha-1 of Mo compared to treatment with application of Mo in both species. There was no effect of Mo doses or species of green manure on common bean yield.

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A significant part of the life of a mechanical component occurs, the crack propagation stage in fatigue. Currently, it is had several mathematical models to describe the crack growth behavior. These models are classified into two categories in terms of stress range amplitude: constant and variable. In general, these propagation models are formulated as an initial value problem, and from this, the evolution curve of the crack is obtained by applying a numerical method. This dissertation presented the application of the methodology "Fast Bounds Crack" for the establishment of upper and lower bounds functions for model evolution of crack size. The performance of this methodology was evaluated by the relative deviation and computational times, in relation to approximate numerical solutions obtained by the Runge-Kutta method of 4th explicit order (RK4). Has been reached a maximum relative deviation of 5.92% and the computational time was, for examples solved, 130,000 times more higher than achieved by the method RK4. Was performed yet an Engineering application in order to obtain an approximate numerical solution, from the arithmetic mean of the upper and lower bounds obtained in the methodology applied in this work, when you don’t know the law of evolution. The maximum relative error found in this application was 2.08% which proves the efficiency of the methodology "Fast Bounds Crack".

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Power generation from alternative sources is at present the subject of numerous research and development in science and industry. Wind energy stands out in this scenario as one of the most prominent alternative in the generation of electricity, by its numerous advantages. In research works, computer reproduction and experimental behavior of a wind turbine are very suitable tools for the development and study of new technologies and the use of wind potential of a given region. These tools generally are desired to include simulation of mechanical and electrical parameters that directly affect the energy conversion. This work presents the energy conversion process in wind systems for power generation, in order to develop a tool for wind turbine emulation testing experimental, using LabVIEW® software. The purpose of this tool is to emulate the torque developed in an axis wind turbine. The physical setup consists of a three phase induction motor and a permanent magnet synchronous generator, which are evaluated under different wind speed conditions. This tool has the objective to be flexible to other laboratory arrangements, and can be used in other wind power generation structures in real time. A modeling of the wind power system is presented, from the turbine to the electrical generator. A simulation tool is developed using Matlab/Simulink® with the purpose to pre-validate the experiment setup. Finally, the design is implemented in a laboratory setup.

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The routine analysis for quantization of organic acids and sugars are generally slow methods that involve the use and preparation of several reagents, require trained professional, the availability of special equipment and is expensive. In this context, it has been increasing investment in research whose purpose is the development of substitutive methods to reference, which are faster, cheap and simple, and infrared spectroscopy have been highlighted in this regard. The present study developed multivariate calibration models for the simultaneous and quantitative determination of ascorbic acid, citric, malic and tartaric and sugars sucrose, glucose and fructose, and soluble solids in juices and fruit nectars and classification models for ACP. We used methods of spectroscopy in the near infrared (Near Infrared, NIR) in association with the method regression of partial least squares (PLS). Were used 42 samples between juices and fruit nectars commercially available in local shops. For the construction of the models were performed with reference analysis using high-performance liquid chromatography (HPLC) and refractometry for the analysis of soluble solids. Subsequently, the acquisition of the spectra was done in triplicate, in the spectral range 12500 to 4000 cm-1. The best models were applied to the quantification of analytes in study on natural juices and juice samples produced in the Paraná Southwest Region. The juices used in the application of the models also underwent physical and chemical analysis. Validation of chromatographic methodology has shown satisfactory results, since the external calibration curve obtained R-square value (R2) above 0.98 and coefficient of variation (%CV) for intermediate precision and repeatability below 8.83%. Through the Principal Component Analysis (PCA) was possible to separate samples of juices into two major groups, grape and apple and tangerine and orange, while for nectars groups separated guava and grape, and pineapple and apple. Different validation methods, and pre-processes that were used separately and in combination, were obtained with multivariate calibration models with average forecast square error (RMSEP) and cross validation (RMSECV) errors below 1.33 and 1.53 g.100 mL-1, respectively and R2 above 0.771, except for malic acid. The physicochemical analysis enabled the characterization of drinks, including the pH working range (variation of 2.83 to 5.79) and acidity within the parameters Regulation for each flavor. Regression models have demonstrated the possibility of determining both ascorbic acids, citric, malic and tartaric with successfully, besides sucrose, glucose and fructose by means of only a spectrum, suggesting that the models are economically viable for quality control and product standardization in the fruit juice and nectars processing industry.

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Social networks rely on concepts such as collaboration, cooperation, replication, flow, speed, interaction, engagement, and aim the continuous sharing and resharing of information in support of the permanent social interaction. Facebook, the largest social network in the world, reached, in May 2016, the mark of 1.09 billion active users daily, draining 161.7 million hours of users’ attention to the website every day. These users share 4.75 billion units of content daily. The research presented in this dissertation aims to investigate the management of knowledge and collective intelligence, from the introduction of mechanisms that aim to enable users to manage and organize current information in the feeds from Facebook groups in which they participate, turning Facebook into a collective knowledge and information management device that goes far beyond mere interaction and communication among people. The adoption of Design Science Research methodology is intended to instill the "genes" of collective intelligence, as presented in the literature, in the computational artifact being developed, so that intelligence can be managed and used to create even more knowledge and intelligence to and by the group. The main theoretical contribution of this dissertation is to discuss knowledge management and collective intelligence in a complementary and integrated manner, showing how efforts to obtain one also contribute to leveraging the other.