985 resultados para Teoria da auto-­determinação


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O objetivo principal desta dissertação é analisar detalhadamente a abordagem Fundamentalista como processo da análise e avaliação de ações. A partir dos vários estudos analíticos desenvolvidos sobre o assunto, dentro dessa abordagem, variáveis relevantes foram identificadas e relacionamentos das mesmas com o valor das ações foram estabelecidos, permitindo a construção de inúmeros modelos para a determinação do valor da ação.

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A vitamina C é uma das vitaminas mais importantes para a nutrição humana e destacase pela sua eficiente acção antioxidante e participação em inúmeras reacções metabólicas como cofactor enzimático. A vitamina C inclui vários compostos que têm actividade biológica semelhante ao ácido L-ascórbico (L-AA), incluindo o produto da sua oxidação, ácido desidroascórbico (DHAA), e as formas sintéticas. Os seres humanos não são capazes de sintetizar a vitamina C, sendo necessário obter este nutriente através da alimentação. As frutas e vegetais são alimentos ricos em vitamina C, ao contrário das carnes e cereais. Existem diversos métodos analíticos disponíveis para quantificação dos teores de vitamina C nos alimentos, sendo os métodos cromatográficos os mais utilizados devido à sua capacidade de separação e elevada sensibilidade e precisão. Neste trabalho, foi desenvolvido e validado um método de cromatografia líquida de ultra-eficiência (UHPLC) para determinar o conteúdo de vitamina C total (L-AA + DHAA) em várias frutas e vegetais com proveniências diferentes. A produção de produtos hortofrutícolas na ilha da Madeira não é auto-suficiente, sendo necessário importar alguns alimentos. Realizou-se um pequeno estudo comparativo do teor total de vitamina C e a sua degradação nos produtos locais e importados. O DHAA foi medido indirectamente através da reacção com o redutor DL-1,4-ditiotreitol (DTT), antes da injecção cromatográfica. Os resultados obtidos foram comparados com a titulação iodométrica. As amostras foram extraídas durante 5 dias consecutivos sendo os extractos resultantes armazenados a -80ºC imediatamente após a extracção até ao dia de análise. A estabilidade do L-AA nos extractos conservados a diferentes temperaturas e os efeitos do cozimento dos alimentos sobre esta molécula foram avaliados. A actividade antioxidante dos produtos hortofrutícolas foi também medida pelo método ABTS (2,2-azino-bis(3-etilbenzotiazolina- 6-sulfonato). O estudo da validação do método apresentou resultados bastante satisfatórios, demonstrando uma boa repetibilidade e sensibilidade elevada. Além disso, o método proposto revelou ser uma abordagem melhorada, simples e rápida para a determinação do conteúdo de vitamina C total em diversos produtos alimentares.

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The current study presents the characteristics of self-efficacy of students of Administration course, who work and do not work. The study was conducted through a field research, descriptive, addressed quantitatively using statistical procedures. Was studied a population composed of 394 students distributed in three Higher Education Institutions, in the metropolitan region of Belém, in the State of Pará. The sampling was not probabilistic by accessibility, with a sample of 254 subjects. The instrument for data collection was a questionnaire composed of a set of questions divided into three sections: the first related to sociodemographic data, the second section was built to identify the work situation of the respondent and the third section was built with issues related to General Perceived Self-Efficacy Scale proposed by Schwarzer and Jerusalem (1999). Sociodemographic data were processed using methods of descriptive statistics. This procedure allowed characterizing the subjects of the sample. To identify the work situation, the analysis of frequency and percentage was used, which allowed to classify in percentage, the respondents who worked and those that did not work, and the data related to the scale of self-efficacy were processed quantitatively by the method of multivariate statistics using the software of program Statistical Package for Social Sciences for Windows - SPSS, version 17 from the process of Exploratory Factor Analysis. This procedure allowed characterizing the students who worked and the students who did not worked. The results were discussed based on Social Cognitive Theory from the construct of self-efficacy of Albert Bandura (1977). The study results showed a young sample, composed the majority of single women with work experience, and indicated that the characteristics of self-efficacy of students who work and students who do not work are different. The self-efficacy beliefs of students who do not work are based on psychological expectations, whereas the students who work demonstrated that their efficacy beliefs are sustained by previous experiences. A student who does not work proved to be reliant in their abilities to achieve a successful performance in their activities, believing it to be easy to achieve your goals and to face difficult situations at work, simply by invest a necessary effort and trust in their abilities. One who has experience working proved to be reliant in their abilities to conduct courses of action, although know that it is not easy to achieve your goals, and in unexpected situations showed its ability to solve difficult problems

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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Ceramic substrates have been investigated by researchers around the world and has achieved a high interest in the scientific community, because they had high dielectric constants and excellent performance in the structures employed. Such ceramics result in miniaturized structures with dimensions well reduced and high radiation efficiency. In this work, we have used a new ceramic material called lead zinc titanate in the form of Zn0,8Pb0,2TiO3, capable of being used as a dielectric substrate in the construction of various structures of antennas. The method used in constructing the ceramic combustion synthesis was Self- Sustained High Temperature (SHS - "Self-Propagating High-Temperature Synthesis") which is defined as a process that uses highly exothermic reactions to produce various materials. Once initiated the reaction area in the reaction mixture, the heat generated is sufficient to become self-sustaining combustion in the form of a wave that propagates converting the reaction mixture into the product of interest. Were analyzed aspects of the formation of the composite Zn0,8Pb0,2TiO3 by SHS powders and characterized. The analysis consisted of determining the parameters of the reaction for the formation of the composite, as the ignition temperature and reaction mechanisms. The production of composite Zn0,8Pb0,2TiO3 by SHS performed in the laboratory, was the result of a total control of combustion temperature and after obtaining the powder began the development of ceramics. The product was obtained in the form of regular, alternating layers of porous ceramics and was obtained by uniaxial pressing. 10 The product was characterized by analysis of dilatometry, X-ray diffraction analysis and scanning electron microscopy. One of the contributions typically defined in this work is the development of a new dielectric material, nevertheless presented previously in the literature. Therefore, the structures of the antennas presented in this work consisted of new dielectric ceramics based Zn0,8Pb0,2TiO3 usually used as dielectric substrate. The materials produced were characterized in the microwave range. These are dielectrics with high relative permittivity and low loss tangent. The Ansoft HFSS, commercial program employee, using the finite element method, and was used for analysis of antennas studied in this work

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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

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Discute-se a teoria da Reabilitação Psicossocial, proposta por Benedetto Saraceno, tomando como referencial a teoria de Sistemas Auto-Organizados, elaborada, entre outros, por Michel Debrun. Observa-se que a proposta de Saraceno satisfaz diversos aspectos do processo de auto-organização, porém não chega a se constituir plenamente como tal. A partir dessa reflexão, pode-se entender melhor algumas das dificuldades da prática de reabilitação na área de Saúde Mental.

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

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Filosofia - FFC

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Matemática - IBILCE

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Pós-graduação em Ciência e Tecnologia de Materiais - FC

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)