832 resultados para Descargas parciais
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Considering the social and economic importance that the milk has, the objective of this study was to evaluate the incidence and quantifying antimicrobial residues in the food. The samples were collected in dairy industry of southwestern Paraná state and thus they were able to cover all ten municipalities in the region of Pato Branco. The work focused on the development of appropriate models for the identification and quantification of analytes: tetracycline, sulfamethazine, sulfadimethoxine, chloramphenicol and ampicillin, all antimicrobials with health interest. For the calibration procedure and validation of the models was used the Infrared Spectroscopy Fourier Transform associated with chemometric method based on Partial Least Squares regression (PLS - Partial Least Squares). To prepare a work solution antimicrobials, the five analytes of interest were used in increasing doses, namely tetracycline from 0 to 0.60 ppm, sulfamethazine 0 to 0.12 ppm, sulfadimethoxine 0 to 2.40 ppm chloramphenicol 0 1.20 ppm and ampicillin 0 to 1.80 ppm to perform the work with the interest in multiresidues analysis. The performance of the models constructed was evaluated through the figures of merit: mean square error of calibration and cross-validation, correlation coefficients and offset performance ratio. For the purposes of applicability in this work, it is considered that the models generated for Tetracycline, Sulfadimethoxine and Chloramphenicol were considered viable, with the greatest predictive power and efficiency, then were employed to evaluate the quality of raw milk from the region of Pato Branco . Among the analyzed samples by NIR, 70% were in conformity with sanitary legislation, and 5% of these samples had concentrations below the Maximum Residue permitted, and is also satisfactory. However 30% of the sample set showed unsatisfactory results when evaluating the contamination with antimicrobials residues, which is non conformity related to the presence of antimicrobial unauthorized use or concentrations above the permitted limits. With the development of this work can be said that laboratory tests in the food area, using infrared spectroscopy with multivariate calibration was also good, fast in analysis, reduced costs and with minimum generation of laboratory waste. Thus, the alternative method proposed meets the quality concerns and desired efficiency by industrial sectors and society in general.
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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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Tese de Doutoramento, Biologia (Ciências do Mar), 5 de Julho de 2013, Universidade dos Açores.
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(...) Os padrões decorativos que revestem as conchas de moluscos marinhos tropicais constituem um claro convite a uma análise mais profunda. Estes padrões são registos do crescimento das próprias conchas, seguindo leis como as da formação das dunas nos desertos ou da propagação de uma epidemia de gripe. (...) A diversidade dos padrões, que podem diferir em detalhes, mesmo entre conchas da mesma espécie, sugere um mecanismo morfogenético geral o suficiente para abranger variações espécime-a-espécime e espécie-a-espécie. Este mecanismo de reação-difusão é expresso, em termos matemáticos, por sistemas de equações diferenciais de derivadas parciais. (...)
Quantificação de açúcares com uma língua eletrónica: calibração multivariada com seleção de sensores
Resumo:
Este trabalho incide na análise dos açúcares majoritários nos alimentos (glucose, frutose e sacarose) com uma língua eletrónica potenciométrica através de calibração multivariada com seleção de sensores. A análise destes compostos permite contribuir para a avaliação do impacto dos açúcares na saúde e seu efeito fisiológico, além de permitir relacionar atributos sensoriais e atuar no controlo de qualidade e autenticidade dos alimentos. Embora existam diversas metodologias analíticas usadas rotineiramente na identificação e quantificação dos açúcares nos alimentos, em geral, estes métodos apresentam diversas desvantagens, tais como lentidão das análises, consumo elevado de reagentes químicos e necessidade de pré-tratamentos destrutivos das amostras. Por isso se decidiu aplicar uma língua eletrónica potenciométrica, construída com sensores poliméricos selecionados considerando as sensibilidades aos açucares obtidas em trabalhos anteriores, na análise dos açúcares nos alimentos, visando estabelecer uma metodologia analítica e procedimentos matemáticos para quantificação destes compostos. Para este propósito foram realizadas análises em soluções padrão de misturas ternárias dos açúcares em diferentes níveis de concentração e em soluções de dissoluções de amostras de mel, que foram previamente analisadas em HPLC para se determinar as concentrações de referência dos açúcares. Foi então feita uma análise exploratória dos dados visando-se remover sensores ou observações discordantes através da realização de uma análise de componentes principais. Em seguida, foram construídos modelos de regressão linear múltipla com seleção de variáveis usando o algoritmo stepwise e foi verificado que embora fosse possível estabelecer uma boa relação entre as respostas dos sensores e as concentrações dos açúcares, os modelos não apresentavam desempenho de previsão satisfatório em dados de grupo de teste. Dessa forma, visando contornar este problema, novas abordagens foram testadas através da construção e otimização dos parâmetros de um algoritmo genético para seleção de variáveis que pudesse ser aplicado às diversas ferramentas de regressão, entre elas a regressão pelo método dos mínimos quadrados parciais. Foram obtidos bons resultados de previsão para os modelos obtidos com o método dos mínimos quadrados parciais aliado ao algoritmo genético, tanto para as soluções padrão quanto para as soluções de mel, com R²ajustado acima de 0,99 e RMSE inferior a 0,5 obtidos da relação linear entre os valores previstos e experimentais usando dados dos grupos de teste. O sistema de multi-sensores construído se mostrou uma ferramenta adequada para a análise dos iii açúcares, quando presentes em concentrações maioritárias, e alternativa a métodos instrumentais de referência, como o HPLC, por reduzir o tempo da análise e o valor monetário da análise, bem como, ter um preparo mínimo das amostras e eliminar produtos finais poluentes.
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O herbicida Atrazina (ATR) é um agrotóxico utilizado há cerca de 50 anos, responsável pelo controle seletivo de plantas daninhas em cultivo de arroz, milho e cana-de-açúcar, principalmente. Estudos recentes apontam diversos efeitos desse herbicida em invertebrados e vertebrados, através da contaminação do solo, bem como da lixiviação para os ecossistemas aquáticos. Foi demonstrado que a ATR é um desregulador endócrino, além de causar efeitos como estresse oxidativo, imunotoxicidade e distúrbios no metabolismo energético. No presente estudo, a espécie nativa Poecilia vivipara foi utilizada como modelo experimental para identificar e analisar a expressão de genes atuantes na via esteroidogênica (StAR e Cyp19a1) e genes atuantes no sistema de defesa antioxidante enzimático (SOD-1 e CAT), frente a exposição à diferentes concentrações de ATR. Sequências parciais dos genes-alvo foram obtidas e comparadas com sequências disponíveis de espécies próximas. Foram analisadas a expressão órgãoespecífica para cada um dos genes isolados, bem como a expressão dos genes frente à exposição ao herbicida atrazina. Os animais foram expostos a ATR em concentrações de 2, 10 e 100 µg/L e a expressão dos genes em gônadas e fígado desses animais foram analisadas em 24 e 96 horas de exposição. As sequências obtidas dos genes StAR, Cyp19a1, SOD-1 e CAT apresentaram 821, 80, 954, 350 pares de bases respectivamente, com identidades que variam de 86 a 100% com espécies filogeneticamente próximas a P. vivipara. Os animais apresentaram uma maior expressão dos genes StAR e Cyp19a1 nas gônadas e no fígado, enquanto a menor expressão se mostrou em órgãos como intestino e baço. Já os genes SOD e CAT apresentaram uma maior expressão no fígado, e menor expressão no intestino. Em relação à expressão gênica frente à exposição à ATR, os resultados apontaram para uma indução dos genes StAR, SOD e CAT em 24 horas, nas gônadas e no fígado, enquanto 8 que a expressão do gene Cyp19a1 foi aumentada apenas após 96 horas de exposição. Foi demonstrado que o herbicida ATR, mesmo em baixas concentrações, é capaz de desregular a expressão de genes que codificam tanto para proteínas componentes da via de síntese de hormônios esteróides, quanto para enzimas atuantes na resposta antioxidante celular de P. vivipara.
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O presente estudo foi realizado numa área com 156,5 Km/ localizada nos municípios de Évora e Montemor-o-Novo, a Sul de Portugal. Cinco genetas foram seguidas via telemetria durante seis meses visando o estudo do uso do espaço e comportamento relativamente às estradas. Estas, parecem funcionar como limites das áreas vitais da geneta actuando como barreira física e/ou social aos seus movimentos. Contudo, as genetas cruzaram diferentes tipos de estrada embora com frequência reduzida. Por outro lado, as genetas adoptaram uma distância de segurança média das estradas, de 1km, onde se verifica uma aproximação durante a noite e um distanciamento durante o dia. Todos os animais evidenciaram ter uma distribuição não aleatória relativamente às estradas concentrando-se maioritariamente apenas num dos lados da estradão que indica o efeito destas infra-estruturas como barreiras parciais ao movimento. A presença de galerias ripicolas parece promover o uso das bermas e durante o estudo todos os indivíduos seleccionaram positivamente estes habitats. ABSTRACT: The present study, was conducted in a 156,5 Km 2 area, located in the Évora and Montemor-o-Novo counties, southern Portugal. Five genets were radio-tracked for six months with the purpose of studying their space use and behavior towards roads. ln this study, roads seem to be artificial boundaries to genets' home ranges acting as physical and social barrier to their movements. However, genets have crossed different types of roads, although in lower frequencies. They adopted, in average, a security distance of 1km from roads being further during the day and closer at night. Ali animals showed a not random distribution on their activity concerning roads presence and their localizations tend to concentrate on one side of the road which confirms that these infrastructures pose a significant barrier to genets' movements. The existence of riparian galleries seems to promote roadside usage and during the study genets have selected positively these habitats.
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In recent decades the public sector comes under pressure in order to improve its performance. The use of Information Technology (IT) has been a tool increasingly used in reaching that goal. Thus, it has become an important issue in public organizations, particularly in institutions of higher education, determine which factors influence the acceptance and use of technology, impacting on the success of its implementation and the desired organizational results. The Technology Acceptance Model - TAM was used as the basis for this study and is based on the constructs perceived usefulness and perceived ease of use. However, when it comes to integrated management systems due to the complexity of its implementation,organizational factors were added to thus seek further explanation of the acceptance of such systems. Thus, added to the model five TAM constructs related to critical success factors in implementing ERP systems, they are: support of top management, communication, training, cooperation, and technological complexity (BUENO and SALMERON, 2008). Based on the foregoing, launches the following research problem: What factors influence the acceptance and use of SIE / module academic at the Federal University of Para, from the users' perception of teachers and technicians? The purpose of this study was to identify the influence of organizational factors, and behavioral antecedents of behavioral intention to use the SIE / module academic UFPA in the perspective of teachers and technical users. This is applied research, exploratory and descriptive, quantitative with the implementation of a survey, and data collection occurred through a structured questionnaire applied to a sample of 229 teachers and 30 technical and administrative staff. Data analysis was carried out through descriptive statistics and structural equation modeling with the technique of partial least squares (PLS). Effected primarily to assess the measurement model, which were verified reliability, convergent and discriminant validity for all indicators and constructs. Then the structural model was analyzed using the bootstrap resampling technique like. In assessing statistical significance, all hypotheses were supported. The coefficient of determination (R ²) was high or average in five of the six endogenous variables, so the model explains 47.3% of the variation in behavioral intention. It is noteworthy that among the antecedents of behavioral intention (BI) analyzed in this study, perceived usefulness is the variable that has a greater effect on behavioral intention, followed by ease of use (PEU) and attitude (AT). Among the organizational aspects (critical success factors) studied technological complexity (TC) and training (ERT) were those with greatest effect on behavioral intention to use, although these effects were lower than those produced by behavioral factors (originating from TAM). It is pointed out further that the support of senior management (TMS) showed, among all variables, the least effect on the intention to use (BI) and was followed by communications (COM) and cooperation (CO), which exert a low effect on behavioral intention (BI). Therefore, as other studies on the TAM constructs were adequate for the present research. Thus, the study contributed towards proving evidence that the Technology Acceptance Model can be applied to predict the acceptance of integrated management systems, even in public. Keywords: Technology
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The study aims to identify the factors that influence the behavior intention to adopt an academic Information System (SIE), in an environment of mandatory use, applied in the procurement process at the Federal University of Pará (UFPA). For this, it was used a model of innovation adoption and technology acceptance (TAM), focused in attitudes and intentions regarding the behavior intention. The research was conducted a quantitative survey, through survey in a sample of 96 administrative staff of the researched institution. For data analysis, it was used structural equation modeling (SEM), using the partial least squares method (Partial Least Square PLS-PM). As to results, the constructs attitude and subjective norms were confirmed as strong predictors of behavioral intention in a pre-adoption stage. Despite the use of SIE is required, the perceived voluntariness also predicts the behavior intention. Regarding attitude, classical variables of TAM, like as ease of use and perceived usefulness, appear as the main influence of attitude towards the system. It is hoped that the results of this study may provide subsidies for more efficient management of the process of implementing systems and information technologies, particularly in public universities
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The research work is devoted to actual problems of development management of industrial enterprises. The general purpose of this work is the choice and justification of rational enterprise development evaluation model and subsequent application of it for assessment of enterprise development level and also forming of recommendations for enterprise management. Theoretical aspects of development management of enterprises were generalized. The approaches to understanding the essence of development enterprise category and its types were considered. It was investigated the evaluation models of enterprise development, their advantages and disadvantages and the difficulties of their implementation. The requirements for formation of the evaluation system of the enterprise development were summarized. It was determined the features of the formation and application of an Index of Enterprise Development. In the empirical part, data about investigated enterprises was collected from their official websites and also complemented with further data from other statistical websites. The analysis was based on the annual financial statements of companies. To assess the level of enterprise development were chosen model proposed by Feshchur and Samulyak (2010). This model involves the calculation of the Index of Enterprise Development using partial indicators, their reference values and weight. It was conducted an analysis of the development of Ukrainian enterprises that produce sauces. OJSC “LZHK” had the highest value of Index of Enterprise Development, in 2013 and 2015, that consisted 0,78 and 0,76 respectively. In 2014 the highest value for the Index belonged to PJSC “Volynholdinh” and amounted 0,74. OJSC “LZHK” had the highest average value of Index of Enterprise Development by the result of 2013-2015 years, and it consisted 0,70. PJSC “Chumak” had the lowest average value of Index of Enterprise Development obtained the result 0,59. In order to raise the enterprise development level, it was suggested to reduce production costs and staff turnover, increase the involvement of employees.
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This study aimed to examine how students perceives the factors that may influence them to attend a training course offered in the distance virtual learning environment (VLE) of the National School of Public Administration (ENAP). Thus, as theoretical basis it was used the Unified Theory of Acceptance and Use of Technology (UTAUT), the result of an integration of eight previous models which aimed to explain the same phenomenon (acceptance/use of information technology). The research approach was a quantitative and qualitative. To achieve the study objectives were made five semi-structured interviews and an online questionnaire (websurvey) in a valid sample of 101 public employees scattered throughout the country. The technique used to the analysis of quantitative data was the structural equation modeling (SEM), by the method of Partial Least Square Path Modeling (PLS-PM). To qualitative data was the thematic content analysis. Among the results, it was found that, in the context of public service, the degree whose the individual believes that the use of an AVA will help its performance at work (performance expectancy) is a factor to its intended use and also influence its use. Among the results, it was found that the belief which the public employee has in the use of a VLE as a way to improve the performance of his work (performance expectation) was determinant for its intended use that, in turn, influenced their use. It was confirmed that, under the voluntary use of technology, the general opinion of the student s social circle (social influence) has no effect on their intention to use the VLE. The effort expectancy and facilitating conditions were not directly related to the intended use and use, respectively. However, emerged from the students speeches that the opinions of their coworkers, the ease of manipulate the VLE, the flexibility of time and place of the distance learning program and the presence of a tutor are important to their intentions to do a distance learning program. With the results, it is expected that the managers of the distance learning program of ENAP turn their efforts to reduce the impact of the causes of non-use by those unwilling to adopt voluntarily the e-learning, and enhance the potentialities of distance learning for those who are already users
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In this work, was studied the formation of a composite of the refractory metal niobium with copper, through the process of high-energy milling and liquid phase sintering. The HEM can be used to synthesize composite powders with high homogeneity and fine size particle distribution. It may also produce the solid solubility in immiscible systems such as Nb-Cu, or extend the solubility of systems with limited solubility. Therefore, in the immiscible system Cu-Nb, the high-energy milling was successfully used to obtain the composite powder particles. Initially, the formation of composite particles during the HEM and the effect of preparation technique on the microstructure of the material was evaluated. Four loads of Nb and Cu powders containing 20%wt Cu were synthesized by MAE in a planetary type ball mill under different periods of grinding. The influence of grinding time on the metal particles is evaluated during the process by the withdrawal of samples at intermediate times of milling. After compaction under different forces, the samples were sintered in a vacuum furnace. The liquid phase sintering of these samples prepared by HEM produced a homogeneous and fine grained. The composite particles forming the sintered samples are the addition of a hard phase (Nb) with a high melting point, and a ductile phase (Cu) with low melting point and high thermal and electrical conductivities. Based on these properties, the Nb-Cu system is a potential material for many applications, such as electrical contacts, welding electrodes, coils for generating high magnetic fields, heat sinks and microwave absorbers, which are coupled to electronic devices. The characterization techniques used in this study, were laser granulometry, used to evaluate the homogeneity and particle size, and the X-ray diffraction, in the phase identification and to analyze the crystalline structure of the powders during milling. The morphology and dispersion of the phases in the composite powder particles, as well the microstructures of the sintered samples, were observed by scanning electron microscopy (SEM). Subsequently, the sintered samples are evaluated for density and densification. And finally, they were characterized by techniques of measuring the electrical conductivity and microhardness, whose properties are analyzed as a function of the parameters for obtaining the composite