35 resultados para Variáveis compostas heterogêneas

em Universidade Federal do Rio Grande do Norte(UFRN)


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Microseisms are continuous vibrations pervasively recorded in the mili Hertz to 1 Hz frequency range. These vibrations are mostly composed of Rayleigh waves and are strongest in the 0.04 to 1 Hz frequency band. Their precise source mechanisms are still a matter of debate but it is agreed that they are related to atmospheric perturbations and ocean gravity waves. The Saint Peter Saint Paul Archipelago (SPSPA) is located in the equatorial region of the Atlantic Ocean about 1,100 km distant from the Brazilian northeastern coast. The SPSPA is composed by a set of several small rocky formations with a total area of approximately 17,000 m². Due to its remote distance from the continent and the lack of cultural noise, this location is a unique location for measuring microseismic noise and to investigate its relation with some climate and oceanographic variables. In the SPSPA we have recorded both primary microseisms (PM) at 0.04 – 0.12 Hz and the secondary microseisms (SM) at 0.12 – 0.4 Hz during 10 months in 2012 and 2013. Our analysis indicates a good correlation between the microseismic noise in the region and a seasonal dependency. In particular, the winter in the northern hemisphere. We have also shown that most of the PM is generated in the SPSPA itself. The SM source location depends with the seasonal climatic and oceanographic variables in the northern hemisphere

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Self-efficacy, the construct developed by Albert Bandura in 1977 and widely studied around the world, means the individual's belief in his own capacity to successfully perform a certain activity. This study aims to determine the degree of association between sociodemographic characteristics and professional training to the levels of Self-Efficacy at Work (SEW) of the Administrative Assistants in a federal university. This is a descriptive research submitted to and approved by the Ethics Committee of UFRN. The method of data analysis, in quantitative nature, was accomplished with the aid of the statistical programs R and Minitab. The instrument used in research was a sociodemographic data questionnaire, variables of professional training and the General Perception of Self-efficacy Scale (GPSES), applied to the sample by 289 Assistants in Administration. Statistical techniques for data analysis were descriptive statistics, cluster analysis, reliability test (Cronbach's alpha), and test of significance (Pearson). Results show a sociodemographic profile of Assistants in Administration of UFRN with well-distributed characteristics, with 48.4% men and 51.6% female; 59.9% of them were aged over 40 years, married (49.3%), color or race white (58%) and Catholics (67.8%); families are composed of up to four people (75.8%) with children (59.4%) of all age groups; the occupation of the mothers of these professionals is mostly housewives (51.6%) with high school education up to parents (72%) and mothers (75.8%). Assistants in Administration have high levels of professional training, most of them composed two groups of servers: the former, recently hired public servants (30.7%) and another with long service (59%), the majority enter young in career and it stays until retirement, 72.4% of these professionals have training above the minimum requirement for the job. The analysis of SEW levels shows medium to high levels for 72% of assistants in administration; low SEWclassified people have shown a high average of 2.7, considered close to the overall mean presented in other studies, which is 2.9. The cluster analysis has allowed us to say that the characteristics of the three groups (Low, Medium and High SEW) are similar and can be found in the three levels of SEW representatives with all the characteristics investigated. The results indicate no association between the sociodemographic variables and professional training to the levels of self-efficacy at work of Assistants in Administration of UFRN, except for the variable color or race. However, due to the small number of people who declared themselves in color or black race (4% of the sample), this result can be interpreted as mere coincidence or the black people addressed in this study have provided a sense of efficacy higher than white and brown ones. The study has corroborated other studies and highlighted the subjectivity of the self-efficacy construct. They are needed more researches, especially with public servants for the continuity and expansion of studies on the subject, making it possible to compare and confirm the results

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This study aims to investigate the influence of the asset class and the breakdown of tangibility as determinant factors of the capital structure of companies listed on the BM & FBOVESPA in the period of 2008-2012. Two current assets classes were composed and once they were grouped by liquidity, they were also analyzed by the financial institutions for credit granting: current resources (Cash, Bank and Financial Applications) and operations with duplicates (Stocks and Receivables). The breakdown of the tangible assets was made based on its main components provided as warrantees for loans like Machinery & Equipment and Land & Buildings. For an analysis extension, three metrics for leverage (accounting, financial and market) were applied and the sample was divided into economic sectors, adopted by BM&FBOVESPA. The data model in dynamic panel estimated by a systemic GMM of two levels was used in this study due its strength to problems of endogenous relationship as well as the omitted variables bias. The found results suggest that current resources are determinants of the capital structure possibly because they re characterized as proxies for financial solvency, being its relationship with debt positive. The sectorial analysis confirmed the results for current resources. The tangibility of assets has inverse proportional relationship with the leverage. As it is disintegrated in its main components, the significant and negative influence of machinery & equipment was more marked in the Industrial Goods sector. This result shows that, on average, the most specific assets from operating activities of a company compete for a less use of third party resources. As complementary results, it was observed that the leverage has persistence, which is linked with the static trade-off theory. Specifically for financial leverage, it was observed that the persistence is relevant when it is controlled for the lagged current assets classes variables. The proxy variable for growth opportunities, measured by the Market -to -Book, has the sign of its contradictory coefficient. The company size has a positive relationship with debt, in favor of static trade-off theory. Profitability is the most consistent variable in all the performed estimations, showing strong negative and significant relationship with leverage, as the pecking order theory predicts

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This master thesis aims to assess the influence of the design decisions on the energy building performance of hotels. The research is based on the integration of field study and computer simulation. Firstly, a detailed field study is carried out to identify the characteristics of hotels in Natal, Rio Grande do Norte. The items assessed are occupancies, light and equipment densities, types of air conditioning, total and monthly energy consumption, among others. A second and more comprehensive field study is carried out to identify the range of occurrence of architectural variables, with a larger number of buildings. A base case is modelled in VisualDOE, based on the first field study. Then, a first set of simulations are run to explore the sensitivity of the variables on the energy consumption. The results analyses were the base of a second set of simulations, which combined the most influential variables. The results of 384 models were assessed, and the impacts of design decisions were quantified. The study discusses tendencies and recommendations, as well as the methods advantages and disadvantages

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The metalceramic crowns are usually used in dentistry because they provide a resistant structure due to its metallic base and its aesthetics from the porcelain that recovers this structure. To manufacture these crowns, a series of stages should be accomplished in the prosthetic laboratories, and many variables can influence its success. Changes in these variables cause alterations in the metallic alloy and in the porcelain, so, as consequence, in the adhesion between them. The composition of the metal alloy can be modified by recasting alloys, a common practice in some prosthetic laboratories. The aim of this paper is to make a systematic study investigating metalceramic crowns as well as analyzing the effect of recasting Ni-Cr alloys. Another variable which can influence the mechanism of metalceramic union is the temperature used in firing porcelain procedure. Each porcelain has to be fired in a fixed temperature which is determined by the manufacturer and its change can cause serious damages. This research simulate situations that may occur on laboratory procedures and observe their consequences in the quality of the metalceramic union. A scanning eletron microscopy and an optic microscopy were accomplish to analyse the metal-ceramic interface. No differences have been found when remelting alloys were used. The microhardness were similar in Ni-Cr alloys casted once, twice and three times. A wettability test was accomplished using a software developed at the Laboratório de Processamento de Materiais por Plasma, on the Universidade Federal do Rio Grande do Norte. No differences were found in the contact angle between the solid surface (metallic substratum) and the tangencial plane to the liquid surface (opaque). To analyse if the temperature of porcelain firing procedure could influence the contact area between metal and porcelain, a variation in its final temperature was achieve from 980° to 955°C. Once more, no differences have been found

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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

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The composition of termite assemblages was analyzed at three Caatinga sites of the Seridó Ecological Station, located in the municipality of Serra Negra do Norte, in the state of Rio Grande do Norte, Brazil. These sites have been subjected to selective logging, and cleared for pasture and farming. A standardized sampling protocol for termite assemblages (30h/person/site) was conducted between September 2007 and February 2009. At each site we measured environmental variables, such as soil granulometry, pH and organic matter, necromass stock, vegetation height, tree density, stem diameter at ankle height (DAH) and the largest and the smallest crown width. Ten species of termites, belonging to eight genera and three families, were found at the three experimental sites. Four feeding-groups were sampled: wood-feeders, soil-feeders, wood-soil interface feeders and leaf-feeders. The wood-feeders were dominant in number of species and number of encounters at all sites. In general, the sites were not significantly different in relation to the environmental variables measured. The same pattern was observed for termite assemblages, where no significant differences in species richness, relative abundance and taxonomic and functional composition were observed between the three sites. The agreement between the composition of assemblages and environmental variables reinforces the potential of termites as biological indicators of habitat quality

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The soil macrofauna is influenced to several biotic and abiotic environmental factors, from changes in the physical environment to a variety of interactions among the species involved, affecting the patterns of biodiversity of soil fauna. The power and specificity of the mechanisms that act on soil organisms vary greatly depending on environmental conditions at different scales of space and time. The Caatinga has great spatial heterogeneity of vegetation, climate and soil, so the soil macrofauna would follow this local spatial variation in the environment? This study aimed to investigate the effects of local environmental variables on biological parameters (taxa richness, total abundance and biomass) of soil macrofauna in a fragment of caatinga in João Câmara, Rio Grande Norte, Northeast Brazil. The study was conducted in the Cauaçu farm, where a grid of 2000m x 500m was drawn, and later, 30 sampling points were randomly selected. The methodology used to collect the macrofauna was the TSBF method. We tested the effects of 10 environmental variables on macrofauna across the plots and across the layers of soil. The hypothesis that macrofauna soil responds to changes in the environment was not supported throughout the plots, but was confirmed to soil layers. The soil macrofauna shows a pattern of concentration in the surface layer and decreases considerably in the deeper layers. This pattern had significant and positive relationship with the aerial plant biomass and fine root stock. The aerial plant biomass releases plant necromass that accumulates in the surface layer, providing an important source of resource and shelter for soil macrofauna, explaining their greater abundance in this layer. The roots are used as a means for the arrival of nutrients to the soil from the primary production, thus a greater amount of root conditions higher food intake for macrofauna, especially the herbivores

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The methods of analysis of the selection system sports talent sometimes do not consider the biological age of the athletes, since that the assessment of maturational moment have several limitations The aim of this work is to develop a predictive equation of pubertal assessment in male subjects, based on anthropometric measurements. We evaluated 206 young boys, aged between eight and 18 years, and studing in public and private schools in Natal, Brazil. The sample selection was done randomly, being used the anthropometric measurements and pubertal maturation evaluation according to the Tanner stages. Statistical analysis followed the presentation of central tendency measures and their derivatives. The inferential analysis was performed according to the ANOVA test, multivariate discriminant analysis and weighted Kappa. The advancement of pubertal stages was accompanied by significant changes in anthropometric variables, demonstrating the relationship presented in both. For this purpose, discriminant analysis selected eight variables with the highest prediction of pubertal maturation, and created an equation with a significance level of 75%. and concordance level of 0.840, considered as excellent. This shows that the prediction of pubertal maturation from anthropometric variables presented as a valid method, being used as a practical tool in sports talents selection

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A laserterapia de baixa potência (LBP) tem demonstrado recentemente ser capaz de aumentar a resistência à fadiga, bem como potencializar o desempenho neuromuscular através de seus efeitos metabólicos e fotoquímicos. Estudos anteriores mostraram que o LBP reduziu o estresse oxidativo do exercício, promovendo um retardo da fadiga muscular e minimizando seus efeitos deletérios. O objetivo desse estudo foi avaliar se a aplicação do LBP antes de um protocolo de fadiga teria efeito sobre o desempenho neuromuscular nas variáveis eletromiográficas e dinamométricas do músculo sóleo em sujeitos saudáveis. Esta pesquisa caracterizou-se como um estudo experimental do tipo ensaio clínico controlado, randomizado e cego, no qual participaram 60 voluntários de ambos os sexos, com faixa etária entre 18 e 28 anos e fisicamente ativos, segundo o questionário internacional para a prática de atividade física (IPAQ). Os sujeitos foram alocados randomicamente em três grupos: Controle (G1), Placebo (G2) e Laser (G3) e todos os voluntários foram submetidos a uma avaliação inicial (AV-1), um Protocolo de Fadiga e uma avaliação final (AV-2), compostas por contrações isocinéticas para flexão plantar a uma velocidade de 90°/s. Os resultados encontrados nesse estudo mostraram que não houve diferença estatística entre os três grupos da pesquisa nas variáveis eletromiográficas de RMS e Frequência Mediana, contudo, em relação à dinamometria, o grupo que recebeu a aplicação do Laser obteve um índice de fadiga significativamente menor (p=0,04) quando comparado aos grupos Controle e Placebo. Além disso, a aplicação do laser pré-exercício também resultou em um aumento nas variáveis de desempenho potência e trabalho. Com isso, pode-se concluir que o LBP foi capaz de melhorar o desempenho do sóleo em sujeitos saudáveis, justificado pelo aumento da resistência à fadiga

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This paper aims to propose a hybrid meta-heuristics for the Heterogeneous Fleet Vehicle Routing Problem (HVRP), which is a combinatorial optimization problem NP-hard, and is characterized by the use of a limited fleet consists of different vehicles with different capacities. The hybrid method developed makes use of a memetic algorithm associated with the component optimizer Vocabulary Building. The resulting hybrid meta-heuristic was implemented in the programming language C + + and computational experiments generated good results in relation to meta-heuristic applied in isolation, proving the efficiency of the proposed method.

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This dissertation has as objective at analyzing the students' perception about the quality of graduate courses distance of the Federal University of Rio Grande do Norte, which was motivated by the following research problem: the perception that graduate students of the distance of the UFRN have on the quality of the undergraduate? To this end, we sought to gather evidence for a satisfactory approach that addresses the complexity of the subject studied: quality management, distance learning and quality in the Higher Education Institutions. We chose to adopt as a research method, case study on the procedure of the research, exploratory research-descriptive about the objective and quantitative research when tackling the problem. The object of the study were six graduate courses distance UFRN/SEDIS, having as target the students of the courses. The sample was calculated using the Stratified sampling on which 217 students, the courses surveyed were selected. The survey instrument consisted of 21 structured questions, of which seven questions designed to identify the profile of students, seven issues of perceptions (manifest variables) on quality management in distance learning, where students have given values (responses) for 24 statements (which address the central theme of this dissertation) composite based on a 5-point Likert s scale, and six questions about general characteristics that may interfere with students' perception about the quality. Was used as statistical method (data analysis), descriptive statistics and exploratory factor analysis. The results show the identification of four latent factors (obtained by exploratory factor analysis), namely: (1) infrastructure and management - polo presence, (2) teaching-learning processes, (3) communication tools and integration; (4) tutors. We also observed that aspects related to infrastructure and management at the pole face had the lowest score among the factors observed, requiring special attention by the education institution. On the other hand, teachers and teaching learning processes were the items with better performance in the perception of students. It is concluded that the perception of students in relation to quality in distance education courses, the median is trending positive perception, ie the perception of overall quality of the courses is not assertive and unison, but tends to positive perception. Thus, the results, it is expected that the managers of the institution to focus attention on critical points in order to minimize them (or eliminate them) and maximize the positive aspects that are perceived by the students

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This thesis aims at analyzing from the perspective of the manager the importance of the use of quality management tools and concepts in Federal Universities. It was motivated by the following research problem: do Federal University managers consider it to be relevant the quality management in their institution? Therefore, we sought to gather evidence for a satisfactory approach that addresses the complexity of the topic researched: quality, higher education and quality management systems. We chose to adopt an applied study, the exploratory-descriptive research as to the objective and the quantitative and qualitative research as to the approach to the problem. The object of study is composed by the Planning Provosts of Federal Universities listed in the University Ranking Sheet - (RUF) in 2013. We chose to restrict the sample listing only the provosts of the 20 best-placed universities in the ranking of the Federal Universities. The research instrument was composed of 26 questions, of which 6 questions were designed to identify the profile of the manager, 16 questions of perception (manifested variables) on the importance of quality management in the University, where the managers assigned values (answers) to the affirmatives (that address the main topic of this thesis) based on a Likert scale of 5 points, and 4 open and optional questions, in order to identify general management practices used. It was used for statistical analysis (data analysis) descriptive and factorial statistics. The responses collected through the questionnaire portray the managers´ perception regarding the importance of quality management in their institutions. Sixteen variables were addressed, the results of factor analysis of importance were "Important" and "Very Important", where the variable (V2) was "Important" and all others "Very important." With this information, it is possible to prioritize some areas that deserve immediate action. As it was observed that some variables are "Very important" for the vast majority of managers, others did not show the same result as example (V2, V10, V11). It is concluded that the manager´s perception of quality management in his or her institution is relevant, but the same importance is not given to quality programs implemented in other segments of the economy, and that, despite the advancements offered by SINAES, the model does not evaluate the institution in a global way. Thus, with the results, it is expected to contribute to the advancement of the subject, trying to arouse interest from the managers of Federal Universities in the subject, emphasizing the importance of quality management systems as a necessary tool to raise the institutional quality

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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

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This thesis describes design methodologies for frequency selective surfaces (FSSs) composed of periodic arrays of pre-fractals metallic patches on single-layer dielectrics (FR4, RT/duroid). Shapes presented by Sierpinski island and T fractal geometries are exploited to the simple design of efficient band-stop spatial filters with applications in the range of microwaves. Initial results are discussed in terms of the electromagnetic effect resulting from the variation of parameters such as, fractal iteration number (or fractal level), fractal iteration factor, and periodicity of FSS, depending on the used pre-fractal element (Sierpinski island or T fractal). The transmission properties of these proposed periodic arrays are investigated through simulations performed by Ansoft DesignerTM and Ansoft HFSSTM commercial softwares that run full-wave methods. To validate the employed methodology, FSS prototypes are selected for fabrication and measurement. The obtained results point to interesting features for FSS spatial filters: compactness, with high values of frequency compression factor; as well as stable frequency responses at oblique incidence of plane waves. This thesis also approaches, as it main focus, the application of an alternative electromagnetic (EM) optimization technique for analysis and synthesis of FSSs with fractal motifs. In application examples of this technique, Vicsek and Sierpinski pre-fractal elements are used in the optimal design of FSS structures. Based on computational intelligence tools, the proposed technique overcomes the high computational cost associated to the full-wave parametric analyzes. To this end, fast and accurate multilayer perceptron (MLP) neural network models are developed using different parameters as design input variables. These neural network models aim to calculate the cost function in the iterations of population-based search algorithms. Continuous genetic algorithm (GA), particle swarm optimization (PSO), and bees algorithm (BA) are used for FSSs optimization with specific resonant frequency and bandwidth. The performance of these algorithms is compared in terms of computational cost and numerical convergence. Consistent results can be verified by the excellent agreement obtained between simulations and measurements related to FSS prototypes built with a given fractal iteration