134 resultados para Perfis
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis
Resumo:
This work aims to study the fluctuation structure of physical properties of oil well profiles. It was used as technique the analysis of fluctuations without trend (Detrended Fluctuation Analysis - DFA). It has been made part of the study 54 oil wells in the Campo de Namorado located in the Campos Basin in Rio de Janeiro. We studied five sections, namely: sonic, density, porosity, resistivity and gamma rays. For most of the profiles , DFA analysis was available in the literature, though the sonic perfile was estimated with the aid of a standard algorithm. The comparison between the exponents of DFA of the five profiles was performed using linear correlation of variables, so we had 10 comparisons of profiles. Our null hypothesis is that the values of DFA for the various physical properties are independent. The main result indicates that no refutation of the null hypothesis. That is, the fluctuations observed by DFA in the profiles do not have a universal character, that is, in general the quantities display a floating structure of their own. From the ten correlations studied only the profiles of density and sonic one showed a significant correlation (p> 0.05). Finally these results indicate that one should use the data from DFA with caution, because, in general, based on geological analysis DFA different profiles can lead to disparate conclusions
Resumo:
The study of complex systems has become a prestigious area of science, although relatively young . Its importance was demonstrated by the diversity of applications that several studies have already provided to various fields such as biology , economics and Climatology . In physics , the approach of complex systems is creating paradigms that influence markedly the new methods , bringing to Statistical Physics problems macroscopic level no longer restricted to classical studies such as those of thermodynamics . The present work aims to make a comparison and verification of statistical data on clusters of profiles Sonic ( DT ) , Gamma Ray ( GR ) , induction ( ILD ) , neutron ( NPHI ) and density ( RHOB ) to be physical measured quantities during exploratory drilling of fundamental importance to locate , identify and characterize oil reservoirs . Software were used : Statistica , Matlab R2006a , Origin 6.1 and Fortran for comparison and verification of the data profiles of oil wells ceded the field Namorado School by ANP ( National Petroleum Agency ) . It was possible to demonstrate the importance of the DFA method and that it proved quite satisfactory in that work, coming to the conclusion that the data H ( Hurst exponent ) produce spatial data with greater congestion . Therefore , we find that it is possible to find spatial pattern using the Hurst coefficient . The profiles of 56 wells have confirmed the existence of spatial patterns of Hurst exponents , ie parameter B. The profile does not directly assessed catalogs verification of geological lithology , but reveals a non-random spatial distribution
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This paper focuses on a study of public policy jurisdictional control as some effectiveness mechanism for cultural, economical, and social fundamental rights. It investigates the juridical profile of public policies based on premises of the current (Neo)Constitutional State model and the assertion of an essentially constitutionalist Law paradigm from its genesis to its most peculiar elements, and through tormenting issues, such as: its position between Law and Politics, the difference with reflective subjective rights, and the problem of high financial costs. Once its object is identified, it moves forward into the theme itself, which is that of jurisdictional control, investigating its legitimacy based on paradigmatic judicial precedents and the facing of themes such as: current role of the Judicial Power, the splitting of state functions, administrative discretion, financial affordability, illegal omissions, and budget control. Finally, it examines, as its study central object, objective parameters for definition control, execution, and transparency of public policies, as well as identifying the most appropriate collective jurisdictional tutoring to its purposes together with some of its law process means. Therefrom, it shows new perspectives for the recent study on jurisdictional control of public policies, building foundations for the fundamental rights effectiveness
Resumo:
The great importance in selecting the profile of an aircraft wing concerns the fact that its relevance in the performance thereof; influencing this displacement costs (fuel consumption, flight level, for example), the conditions of flight safety (response in critical condition) of the plane. The aim of this study was to examine the aerodynamic parameters that affect some types of wing profile, based on wind tunnel testing, to determine the aerodynamic efficiency of each one of them. We compared three types of planforms, chosen from considerations about the characteristics of the aircraft model. One of them has a common setup, and very common in laboratory classes to be a sort of standard aerodynamic, it is a symmetrical profile. The second profile shows a conFiguration of the concave-convex type, the third is also a concave-convex profile, but with different implementation of the second, and finally, the fourth airfoil profile has a plano-convex. Thus, three different categories are covered in profile, showing the main points of relevance to their employment. To perform the experiment used a wind tunnel-type open circuit, where we analyzed the pressure distribution across the surface of each profile. Possession of the drag polar of each wing profile can be, from the theoretical basis of this work, the aerodynamic characteristics relate to the expected performance of the experimental aircraft, thus creating a selection model with guaranteed performance aerodynamics. It is believed that the philosophy used in this dissertation research validates the results, resulting in an experimental alternative for reliable implementation of aerodynamic testing in models of planforms
Resumo:
One of the current major concerns in engineering is the development of aircrafts that have low power consumption and high performance. So, airfoils that have a high value of Lift Coefficient and a low value for the Drag Coefficient, generating a High-Efficiency airfoil are studied and designed. When the value of the Efficiency increases, the aircraft s fuel consumption decreases, thus improving its performance. Therefore, this work aims to develop a tool for designing of airfoils from desired characteristics, as Lift and Drag coefficients and the maximum Efficiency, using an algorithm based on an Artificial Neural Network (ANN). For this, it was initially collected an aerodynamic characteristics database, with a total of 300 airfoils, from the software XFoil. Then, through the software MATLAB, several network architectures were trained, between modular and hierarchical, using the Back-propagation algorithm and the Momentum rule. For data analysis, was used the technique of cross- validation, evaluating the network that has the lowest value of Root Mean Square (RMS). In this case, the best result was obtained for a hierarchical architecture with two modules and one layer of hidden neurons. The airfoils developed for that network, in the regions of lower RMS, were compared with the same airfoils imported into the software XFoil
Resumo:
Fibromyalgia (FM) is a non-inflammatory rheumatic syndrome characterized by widespread musculoskeletal pain with palpable tender points, muscle stiffness, fatigue, and sleep disturbances. Patients with FM have hormonal changes that are directly correlated with symptoms of the syndrome. The neuroendocrine regulation may be impaired, with abnormalities in the hypothalamus-pituitary-adrenal (HPA) axis with various hormones showing changes in their levels. In women in fertile period, various gonadal hormones are associated with symptoms of the syndrome, but studies focusing only a population of women in post-menopausal period who do not use hormone replacement are rare. We developed an analytical cross sectional study to assess the plasma levels of cortisol and dehidroepiandrosterona sulfate (DHEA-S) with quimioluminescence method in a group of 17 women with FM and 19 healthy women in post-menopause who do not use hormone replacement and observe the correlation with the symptoms of pain through algometry, depression and physical functional capacity measured from the Beck Depression Index (BDI) and the Fibromyalgia Impact Questionnaire (FIQ). Three blood samples were collected in the morning (between 8:00 9:30) with an interval of 24 hours for the measurements of hormonal levels and biochemical profile. There were no immunological or lipid changes in patients with FM. Comparing the two groups, there is no difference in levels of cortisol and a tangential effect for DHEA-S (p=0,094) with the lowest levels in the FM. DHEA-S also correlated with pain threshold (r=0,7) and tolerance (r=0,65) in group FM. We found the presence of depressive state and low physical functional capacity in FM. It was also evident that women in post-menopausal period, DHEA-S should influence the symptoms of increased sensitivity to pain, but not the presence of depressive status and low physical functional
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Resumo:
This work is a study of strategic management of catering establishments in the tourist route from Natal, through the study of the strategic profile of the manager and the level of satisfaction with the quality of services offered. Identifies the strategic profile prevalent in the studied sector, measures the level of customer satisfaction with services and associate the two constructs to distinguish the services of strategic profile. Uses population of 33 restaurants, built for convenience, from a list composed establishments associated with the Brazilian Association of Bars and Restaurants - ABRASEL, Veja magazine Christmas food and drink 2011/2012 and information from the natives. It presents statistical methodology used for descriptive bivariate analysis complemented by quantitative data. The quantitative characteristics of the population shows non-normality checked by the Shapiro-Wilks. Used the Kruskal-Wallis test for the realization of the association of variables and the Mann-Whitney test to perform post-test. It shows the strategic profile prevalent in the sector of restoration in Natal is the analyzer, although other types were detected. Notes that the level of satisfaction with the quality of service is getting a high score approximately 5 points in a 6-point Likert scale. Demonstrates that the client can tell the quality of services between the different strategic profiles. Identifies distinction between services provided by prospector profile compared to other profiles, indicating the size as the tangible aspects that presents noticeable difference. Certifies that these variables affect the environment of the restaurant in the building of strategic profile and reflect on the service provided. Concludes that the quality of services provided by catering establishments is influenced by the type of establishment and strategic profile of the study of this relation to establishments offering development opportunities and improving the quality of their services
Resumo:
Peng was the first to work with the Technical DFA (Detrended Fluctuation Analysis), a tool capable of detecting auto-long-range correlation in time series with non-stationary. In this study, the technique of DFA is used to obtain the Hurst exponent (H) profile of the electric neutron porosity of the 52 oil wells in Namorado Field, located in the Campos Basin -Brazil. The purpose is to know if the Hurst exponent can be used to characterize spatial distribution of wells. Thus, we verify that the wells that have close values of H are spatially close together. In this work we used the method of hierarchical clustering and non-hierarchical clustering method (the k-mean method). Then compare the two methods to see which of the two provides the best result. From this, was the parameter � (index neighborhood) which checks whether a data set generated by the k- average method, or at random, so in fact spatial patterns. High values of � indicate that the data are aggregated, while low values of � indicate that the data are scattered (no spatial correlation). Using the Monte Carlo method showed that combined data show a random distribution of � below the empirical value. So the empirical evidence of H obtained from 52 wells are grouped geographically. By passing the data of standard curves with the results obtained by the k-mean, confirming that it is effective to correlate well in spatial distribution
Resumo:
One of the mechanisms responsible for the anomalous diffusion is the existence of long-range temporal correlations, for example, Fractional Brownian Motion and walk models according to Elephant memory and Alzheimer profiles, whereas in the latter two cases the walker can always "remember" of his first steps. The question to be elucidated, and the was the main motivation of our work, is if memory of the historic initial is condition for observation anomalous diffusion (in this case, superdiffusion). We give a conclusive answer, by studying a non-Markovian model in which the walkers memory of the past, at time t, is given by a Gaussian centered at time t=2 and standard deviation t which grows linearly as the walker ages. For large widths of we find that the model behaves similarly to the Elephant model; In the opposite limit (! 0), although the walker forget the early days, we observed similar results to the Alzheimer walk model, in particular the presence of amnestically induced persistence, characterized by certain log-periodic oscillations. We conclude that the memory of earlier times is not a necessary condition for the generating of superdiffusion nor the amnestically induced persistence and can appear even in profiles of memory that forgets the initial steps, like the Gausssian memory profile investigated here.
Resumo:
In the Brazilian network of psychosocial care, health professionals are important actors in the process of transformation of mental health public policies among various services. In the reality of psychiatric hospitals, one should understand the need to expand the debate about the current context of practices developed. This study aimed at analyzing the process of psychiatric reform and the mental health policy in the State of Rio Grande do Norte (RN) from the profiles and practices of higher-level professionals in two psychiatric hospitals. This is a cross-sectional and descriptive research, with quantitative and qualitative data, conducted in two psychiatric hospitals of RN. The universe of the target population was 95 professionals, taking into account the margin of error of 8%, non-response rate and the inclusion criteria: holding effective link with the institution by means of approval in public examination for, at least, six months, being state or municipal servant; having a minimum weekly workload of 20 hours in service; participating in care and/or activities with patients and families in a direct way. The final sample consisted of 60 professionals. The tool for data collection was a questionnaire with closed and semi-open questions about socioeconomic profile, and mental health policies, practices and training. Quantitative data were tabulated in the statistical software SPSS, and simple and bivariate statistics, chi-square type, was used for analysis by adopting the significance level with the value p<0,05. In order to analyze data, the content analysis of Bardin was used. The qualitative findings obtained with the semi-open questions in Analyse Lexicale par Context d'un Ensemble de Segments de Texte (ALCESTE) were grouped into four thematic axes: Professional action in mental health; Mental health training; Scenarios of psychiatric reform and psychiatric hospitals; Mental health policies and practices: challenges for professionals in hospitals. The profile of professionals has revealed the majority of women (89,7%), nurses (36,7%), aged 50-59 years (42,9%), weekly workload of 40 hours (52,4% ), time of completion of graduation from six to 15 years (57%), and 21,4% reported to have specialization in mental health. Regarding the practices developed in individual care, it was found an association between those who do not build or partially conducts the therapeutic project and those who conduct care related to observation and annotation. In family care, it was obtained care consultation during crisis; and, in group care, recreational activities. In the analysis of thematic axes, it was noted that, despite changes identified in the profiles and practices of higher-level professionals in care services for mental health, with the implementation of new public policies for this field, the findings indicate the confluence of asymmetries and divergences in the actions of the teams in psychiatric hospitals, difficulties in managing services, frequent readmissions, reduced quantitative of available services and equipment, high demand of users, disarticulation of the network of psychosocial care, and the very shortage of skilled human resources to compose these services. Accordingly, the evidenced scenarios partially outline the current political and ideological mismatch of the national process of psychiatric reform that denies the role of care actions conducted within hospitals, although it has not gone far enough with the creation of new services that justify the total extinction of this institution
Resumo:
O crescimento demográfico de idosos é um fenômeno mundial e exerce influência sobre o desenvolvimento e funcionamento das sociedades. Fatores sociais, econômicos, ambientais, biológicos e culturais influenciam o processo de envelhecimento, que pode vir acompanhado de contínua perda na capacidade de adaptação do indivíduo ao meio ambiente, de maior vulnerabilidade ao estresse, limitações funcionais e diminuição da qualidade de vida do indivíduo. Todavia, ao longo do curso da vida, o indivíduo vivencia múltiplas exposições adversas à saúde, e o declínio da mobilidade surge como um dos primeiros sinais do envelhecimento, repercutindo na saúde física e mental do indivíduo. Para contribuir com o conhecimento sobre os desfechos relacionados ao envelhecimento e mobilidade, o estudo IMIAS investiga idosos em quatro países com diferentes perfis epidemiológicos. O presente estudo abordou os possíveis fatores associados ao declínio físico em idosos de distintas sociedades, sobre a perspectiva epidemiológica do curso da vida e dos biomarcadores da inflamação e do estresse. Objetivos: 1) Analisar as relações entre as adversidades sociais e econômicas, vivenciadas durante a infância, a fase adulta e a velhice, com o baixo desempenho físico em populações idosas, de diferentes contextos sociais, econômicos e culturais. 2) Verificar a associação entre os níveis elevados da proteína c-reativa (PCR) com o desempenho físico em idosos de diferentes populações. 3) Avaliar se a desregulação nos níveis de cortisol diurno exerce influência sobre o desempenho físico em idosos com distintos perfis epidemiológicos. Métodos: Foram utilizados dados da linha de base do IMIAS – Estudo Internacional de Mobilidade no Envelhecimento, composto por 1.995 indivíduos entre 65 e 74 anos de idade, residentes em comunidades de quatro países (Albânia, Brasil, Canadá, Colômbia). O desempenho físico foi avaliado através do Short Physical Performance Battery (SPPB) e da força de preensão manual. As adversidades durante o curso da vida foram estimadas a partir de eventos e exposições sociais, econômicas e culturais ocorridas durante a infância, fase adulta e velhice. Para avaliar o percurso biológico e suas associações com a mobilidade, a proteína c-reativa e o cortisol foram considerados como biomarcadores da inflamação e do estresse, respectivamente. No sentido de responder as questões de investigações, foram conduzidas análises de estatística descritiva, bivariada e multivariada, mediante técnicas de distribuição de frequências, teste qui-quadrado, odds ratio e regressões logística, linear e multinível. Resultados: O desempenho físico foi menor nos participantes que vivem na Colômbia, Brasil e Albânia do que nos que vivem no Canadá, mesmo quando ajustados por idade, sexo e adversidades durante o curso da vida. O baixo nível de desempenho físico (SPPB < 8) foi associado a ter sofrido adversidade social e econômica na infância, ter tido ocupação semiqualificada na fase adulta, morar sozinho e possuir renda insuficiente na velhice. A PCR esteve associada com a baixa força de preensão manual e com o SPPB<8. Entretanto, a associação entre a PCR e a força de preensão manual não se manteve quando ajustada por fatores socioeconômicos e hábitos de saúde. As associações negativas entre SPPB e PCR permaneceram significativas mesmo após ajustes por idade, sexo, escolaridade, local de pesquisa e condições de saúde. O baixo desempenho físico (SPPB ≤ 8) foi associado com uma significativa diminuição nos níveis de cortisol ao acordar, em comparação com os níveis de cortisol de idosos com bom desempenho físico (SPPB > 8), mesmo após modelos controlados por local de estudo, sexo, depressão, hábitos de saúde, uso de psicotrópicos e índice de massa corporal. Conclusões: Os resultados evidenciaram associação entre a inflamação, o estresse e as desigualdades sociais e econômicas na infância, sobre o desempenho físico de idosos com diferenciados perfis epidemiológicos. Enfatizamos que a promoção do envelhecimento saudável requer considerar políticas e práticas que favoreçam o bem-estar econômico e social para crianças, adultos e idosos.
Resumo:
National surveys are important tools for public health surveillance and thus key elements in monitoring health conditions and system performance. In the field of oral health, such surveys began with the oral health survey in 1986 and later in 1996 and with the SBBrasil Project in 2003. The 2010 edition of SBBrasil is the principal oral health surveillance strategy for the production of primary data. In order to contribute to this discussion, this article proposes: (a) to present and discuss the Brazilian experience with nationwide oral health surveys and (b) to discuss the use of data in health surveillance models. One can conclude that oral health surveys in Brazil have great possibilities as a tool for health services and academia. Such surveys have shown evident potential for verifying trends in the oral health profile, as well as for producing valid indicators for use in health services.
Resumo:
The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis