Estudo da água produzida em diferentes zonas de produção de petróleo, utilizando a hidroquímica e a análise estatística de parâmetros químicos

Over exploitation of oil deposits on land onshore or offshore, there is simultaneous generation of waste water, known as produced water, which represents the largest waste stream in the production of crude oil. The relationship between the chemical composition of oil and water production and the conditions in which this process occurs or is favored are still poorly studied. The area chosen for the study has an important oil reserve and an important aquifer saturated with freshwater meteoric. The aim of this work is to study some chemical parameters in water produced for each reservoir zone of production in mature oil fields of Açu Formation, using the hydrochemical and statistical analysis to serve as a reference and be used as tools against the indicator ranges water producers in oil producing wells. Samples were collected from different wells in 6 different areas of production and were measured 50 parameters, which can be classified into three groups: anions, cations and physicochemical properties (considering only the parameters that generated values above detection limits in all samples). Through the characterization hydrochemistry observed an area of water and chlorinated sodium, chlorinated calcium or magnesium (mixed) in well water in different areas of Açu, by applying a statistical treatment, we obtained a discriminant function that distinguishes chemically production areas. Thus, it was possible to calculate the rate of correct classification of the function was 76.3%. To validate this model the accuracy rate was 86%

Fundamentação cinética da estatística não gaussiana : efeitos em politrópicas

Considering a non-relativistic ideal gas, the standard foundations of kinetic theory are investigated in the context of non-gaussian statistical mechanics introduced by Kaniadakis. The new formalism is based on the generalization of the Boltzmann H-theorem and the deduction of Maxwells statistical distribution. The calculated power law distribution is parameterized through a parameter measuring the degree of non-gaussianity. In the limit = 0, the theory of gaussian Maxwell-Boltzmann distribution is recovered. Two physical applications of the non-gaussian effects have been considered. The first one, the -Doppler broadening of spectral lines from an excited gas is obtained from analytical expressions. The second one, a mathematical relationship between the entropic index and the stellar polytropic index is shown by using the thermodynamic formulation for self-gravitational systems

Física estatística aplicada a sistemas sociais através do estudo de redes complexas

In this work a study of social networks based on analysis of family names is presented. A basic approach to the mathematical formalism of graphs is developed and then main theoretical models for complex networks are presented aiming to support the analysis of surnames networks models. These, in turn, are worked so as to be drawn leading quantities, such as aggregation coefficient, minimum average path length and connectivity distribution. Based on these quantities, it can be stated that surnames networks are an example of complex network, showing important features such as preferential attachment and small-world character

Inferência geográfica para delimitação de corredores ecológicos: um estudo de caso para a Mata Atlântica do município de Tibau do Sul/RN

The Atlantic Forest biome occupies much of the Atlantic coast of Brazil, in addition to portions of Paraguay and Argentina. Due mainly to its biodiversity which falls in the group of global hotspots, i.e., areas that have high priority for conservation. Although currently there are some available devices that assist in their protection in the course of the history of occupation and exploitation of the Brazilian territory, this biome has gone, and is still going through, an intense process of devastation, caused mainly by the pressure from economic activities, culminating in a significant reduction of its area and consequent fragmentation of the landscape, which brings with hosts a series of problems at various scales and aspects. As in most municipalities included in the reach area of the biome, the situation of forest fragmentation in Tibau do Sul / RN is quite critical, reflecting on a truly diverse landscape with broad typology of land uses. Among the alternatives aimed at the conservation of this biome include the creation of protected areas and the creation of ecological corridors, the latter being more efficient by connecting the remaining forests, increasing landscape connectivity, providing significant gains in relation to biodiversity. However, a major problem on implementation of Ecological Corridors projects is related to the selection of areas for this purpose, in this sense Geography can provide important contributions through the integrated study of landscape in the light of the geosystemic approach and the use of Geographical Information System (GIS) in order to permit assessment of reality having as a base the integration of ecological, biological and man-made aspects. Thus, this research aims to indicate potential areas and propose scenarios delimitation of Ecological Corridors in the municipality of Tibau do Sul / RN through Geographic Inference techniques in GIS platform. Therefore, the methodology adopted is based on the Geosystemic approach. From these elements were created 4 models to indicate potential areas for implementation of Ecological Corridors from the environmental perspective (potential erosion), socioeconomic (cover and land prices), legislative (areas protected by environmental legislation) and integrated (combination of environmental factors, socioeconomic and legislative), which in turn served as a basis for proposing scenarios aimed at this purpose. The results showed that all models can be quite useful in indicating potential areas for the establishment of ecological corridors, especially when based on an integrated approach between environmental and anthropogenic. The Corridors delimitation proposes shown may perform duties beyond the establishment of connectivity between fragments, since they also may have usefulness in controlling erosion and protecting fragile environments. Among the models developed, the integrated constituted itself as the best option because it enabled the interconnection of a larger number of fragments from a better use of the potentialities present in the landscape

Filogenia molecular das enzimas isocitrato liase e malato sintase e sua evolução em Viridiplanta

The plant metabolism consists of a complex network of physical and chemical events resulting in photosynthesis, respiration, synthesis and degradation of organic compounds. This is only possible due to the different kinds of responses to many environmental variations that a plant could be subject through evolution, leading also to conquering new surroundings. The glyoxylate cycle is a metabolic pathway found in glyoxysomes plant, which has unique role in the seedling establishment. Considered as a variation of the citric acid cycle, it uses an acetyl coenzyme A molecule, derived from lipids beta-oxidation to synthesize compounds which are used in carbohydrate synthesis. The Malate synthase (MLS) and Isocitrate lyase (ICL) enzyme of this cycle are unique and essential in regulating the biosynthesis of carbohydrates. Because of the absence of decarboxylation steps as rate-limiting steps, detailed studies of molecular phylogeny and evolution of these proteins enables the elucidation of the effects of this route presence in the evolutionary processes involved in their distribution across the genome from different plant species. Therefore, the aim of this study was to establish a relationship between the molecular evolution of the characteristics of enzymes from the glyoxylate cycle (isocitrate lyase and malate synthase) and their molecular phylogeny, among green plants (Viridiplantae). For this, amino acid and nucleotide sequences were used, from online repositories as UniProt and Genbank. Sequences were aligned and then subjected to an analysis of the best-fit substitution models. The phylogeny was rebuilt by distance methods (neighbor-joining) and discrete methods (maximum likelihood, maximum parsimony and Bayesian analysis). The identification of structural patterns in the evolution of the enzymes was made through homology modeling and structure prediction from protein sequences. Based on comparative analyzes of in silico models and from the results of phylogenetic inferences, both enzymes show significant structure conservation and their topologies in agreement with two processes of selection and specialization of the genes. Thus, confirming the relevance of new studies to elucidate the plant metabolism from an evolutionary perspective

Diagnósticos de enfermagem do domínio nutrição em pacientes submetidos à hemodiálise

The study aimed to analyze the nursing diagnoses of the nutrition domain from NANDA International in patients undergoing hemodialysis. This is a transversal study conducted in a university hospital in northeastern Brazil, with 50 hemodialysis patients. The data collection instrument was an interview form and a physical examination, in digital format, applied between the months of December 2013 to May 2014. Data analysis was divided into two stages. In the first, defining characteristics, related factors and risk factors were judged as to their presence by the researcher, according to the data collected. In the second stage, based on data from the first, diagnostic inference by experts was held. The results were organized in tables and analyzed using descriptive and inferential statistics for the diagnoses that showed higher frequencies than 50%. The project was approved by the Ethics Committee responsible for the research institution (protocol number 392 535), with Certificate Presentation to Ethics Assessment 18710613.4.00005537 number. The results indicate a median of 7 (± 1.51) nursing diagnoses of the nutrition domain per patient. Six diagnoses with greater frequency than 50% were identified, namely: Risk for electrolyte imbalance, Risk for unstable blood glucose level, Excess fluid volume, Readiness for enhanced fluid balance, Readiness for enhanced nutrition and Risk for deficient fluid volume. The defining characteristics, related and risk factors presented an average of 34.78 (± 6.86), 15.50 (± 3.40) and a median of 4 (± 1.93), respectively, and 11 of these components had statistically significant association with the respective diagnoses. Were identified associations between adventitious breath sounds, edema and pulmonary congestion with the diagnosis Excess fluid volume; Expressed desire to increase fluid balance with the nursing diagnosis Readiness for enhanced fluid balance; It feeds regularly, Attitude to food consistent with the health goals, Consume adequate food, expresses knowledge about healthy food choices, expresses desire to improve nutrition, expresses knowledge about liquid healthier choices and following appropriate standard supply with diagnosis Readiness for enhanced nutrition. It is concluded that the diagnosis of the nutrition domain related to electrolyte problems are prevalent in customer submitted to hemodialysis. The identification of these diagnoses contributes to the development of a plan of care targeted to the needs of these clients, providing better quality of life and advance in the practice of care

Estudo do domínio segurança/proteção da NANDA internacional em pacientes de unidade de terapia intensiva

The study aimed to analyze the field of nursing diagnoses safety / protection of NANDA International present in patients in the Intensive Care Unit. This is a crosssectional study in intensive care complex of a university hospital in northeastern Brazil. The research took place in two stages. The first step was to collect data through an interview form and physical examination, with 86 patients admitted to the unit, during the months of December 2013 to May 2014. Spreadsheets were built in Microsoft Office Excel 2010 Software in which were marked by the researcher of this study, the presence or absence of defining characteristics, related factors and risk factors of the 31 studied diagnoses. In the second stage, held between July and August 2014, the sheets were sent to three diagnosticians, previously trained to perform the diagnostic inference. Data were analyzed using descriptive and inferential statistics for the diagnoses that showed higher frequencies than 50%, using IBM SPSS version 20.0 for Statistic Windows.O project was approved by the 440/414 and Presentation Certificate for Ethics Assessment number 22955113 .2.0000.5292. The results indicated the presence of 29 field of nursing diagnoses safety / protection in hospital clientele in the Intensive Care Unit, of which five were present in 100% of patients, namely: Risk of contamination, injury risk, falls risk,risk of allergic response and risk of trauma. Diagnoses that presented more frequently than 50% were: Risk of infection, dry eye risk, poisoning risk, vascular trauma risk, impaired skin integrity, impaired dentition, bleeding risk, risk imbalance in body temperature, Risk perioperative positioning injury, impaired tissue integrity, peripheral neurovascular dysfunction Risk, Risk adverse response to contrast media with iodine, shock Hazard and Risk of aspiration. For these analyzes, we identified 35 risk factors, 11 defining characteristics and three related factors showed statistically significant association with the studied diagnoses. For diagnostics: Risk of contamination, injury risk, falls risk, allergic response risk, trauma Risk, Risk of infection, dry eye risk and risk poisoning there was no association with any of their risk factors. We conclude that most of the area of nursing diagnoses safety / protection feature is prevalent in critically ill patients, with special attention to the risk diagnoses. There was a significant association between these diagnoses and its components. It is noteworthy, therefore, that the lifting of this profile contributes relevant clues to the inference of the priority nursing diagnoses domain safety / protection in the study population, supporting the practice of nursing and stimulating knowledge on the subject.

Modelagem estatística e atribuições dos eventos de precipitação extrema na Amazônia brasileira

Intense precipitation events (IPE) have been causing great social and economic losses in the affected regions. In the Amazon, these events can have serious impacts, primarily for populations living on the margins of its countless rivers, because when water levels are elevated, floods and/or inundations are generally observed. Thus, the main objective of this research is to study IPE, through Extreme Value Theory (EVT), to estimate return periods of these events and identify regions of the Brazilian Amazon where IPE have the largest values. The study was performed using daily rainfall data of the hydrometeorological network managed by the National Water Agency (Agência Nacional de Água) and the Meteorological Data Bank for Education and Research (Banco de Dados Meteorológicos para Ensino e Pesquisa) of the National Institute of Meteorology (Instituto Nacional de Meteorologia), covering the period 1983-2012. First, homogeneous rainfall regions were determined through cluster analysis, using the hierarchical agglomerative Ward method. Then synthetic series to represent the homogeneous regions were created. Next EVT, was applied in these series, through Generalized Extreme Value (GEV) and the Generalized Pareto Distribution (GPD). The goodness of fit of these distributions were evaluated by the application of the Kolmogorov-Smirnov test, which compares the cumulated empirical distributions with the theoretical ones. Finally, the composition technique was used to characterize the prevailing atmospheric patterns for the occurrence of IPE. The results suggest that the Brazilian Amazon has six pluvial homogeneous regions. It is expected more severe IPE to occur in the south and in the Amazon coast. More intense rainfall events are expected during the rainy or transitions seasons of each sub-region, with total daily precipitation of 146.1, 143.1 and 109.4 mm (GEV) and 201.6, 209.5 and 152.4 mm (GPD), at least once year, in the south, in the coast and in the northwest of the Brazilian Amazon, respectively. For the south Amazonia, the composition analysis revealed that IPE are associated with the configuration and formation of the South Atlantic Convergence Zone. Along the coast, intense precipitation events are associated with mesoscale systems, such Squall Lines. In Northwest Amazonia IPE are apparently associated with the Intertropical Convergence Zone and/or local convection.

Acurácia dos indicadores clínicos do diagnóstico de enfermagem falta de adesão em pessoas vivendo com AIDS

In the early 1990s, a major milestone in the treatment of Acquired Immune Deficiency Syndrome was the development of highly active combination antiretroviral therapy. The great benefit generated by the use of this therapy was prolonging the survival of the people who got this disease, since it is no longer considered fatal, becoming a chronic condition. Despite improvements generated by this therapy, there are still many difficulties to be overcome. One is the patient adherence to their treatment, bringing challenges to services and health professionals. Hence the need for early identification of nursing diagnosis Lack of Accession so that solutions are sought by the nurse with the patient and his family. With this problem, adds to the difficulty of hospital nurses in inferring that diagnosis, especially in identifying their defining characteristics. In this context, the objective was to evaluate the accuracy of clinical indicators of nursing diagnosis Lack of Adherence to antiretroviral treatment for people living with the Acquired Immunodeficiency Syndrome. The research took place in two stages. The first consists of the evaluation of the diagnostic indicators in the study; and second, the diagnostic inference performed by specialist nurses. The first step took place in a referral hospital in the treatment of infectious diseases in the Northeast of Brazil, and data were collected through an instrument for carrying out history and physical examination and analyzed for the presence or absence of the diagnostic indicators. In the second stage, the data were sent to experts, who judged the presence or absence of the diagnosis in the studied clientele. The project was submitted to the Ethics Committee of the Federal University of Rio Grande do Norte, obtaining approval with the General Certificate for Ethics Assessment (CAAE) No 46206215.3.0000.5537. Data were analyzed using descriptive and inferential statistics. Test were used Fisher's exact, chi-square test of Pearson and logistic regression. Since the accuracy of clinical indicators was measured by sensitivity, specificity, predictive values, likelihood ratios. As a result, we identified the presence of diagnosis Lack of Accession on 69% (n = 78) of the study patients. The defining characteristics that showed statistically significant association with the diagnosis studied were: lack of adherence behavior, complications related to development, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. The characteristic with greater sensitivity was missing scheduled appointments and the highest specificity behavior of noncompliance. The logistic regression showed as predictors for the diagnosis Lack of Accession: lack of adherence behavior, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. It was concluded that the identification of clinical indicators accurately enabled a good prediction of the nursing diagnosis Lack of Accession on people living with the Acquired Immune Deficiency Syndrome, helping nurses develop early on strategies for promoting adherence to the use of antiretrovirals.

Acurácia dos indicadores clínicos do diagnóstico de enfermagem falta de adesão em pessoas vivendo com AIDS

In the early 1990s, a major milestone in the treatment of Acquired Immune Deficiency Syndrome was the development of highly active combination antiretroviral therapy. The great benefit generated by the use of this therapy was prolonging the survival of the people who got this disease, since it is no longer considered fatal, becoming a chronic condition. Despite improvements generated by this therapy, there are still many difficulties to be overcome. One is the patient adherence to their treatment, bringing challenges to services and health professionals. Hence the need for early identification of nursing diagnosis Lack of Accession so that solutions are sought by the nurse with the patient and his family. With this problem, adds to the difficulty of hospital nurses in inferring that diagnosis, especially in identifying their defining characteristics. In this context, the objective was to evaluate the accuracy of clinical indicators of nursing diagnosis Lack of Adherence to antiretroviral treatment for people living with the Acquired Immunodeficiency Syndrome. The research took place in two stages. The first consists of the evaluation of the diagnostic indicators in the study; and second, the diagnostic inference performed by specialist nurses. The first step took place in a referral hospital in the treatment of infectious diseases in the Northeast of Brazil, and data were collected through an instrument for carrying out history and physical examination and analyzed for the presence or absence of the diagnostic indicators. In the second stage, the data were sent to experts, who judged the presence or absence of the diagnosis in the studied clientele. The project was submitted to the Ethics Committee of the Federal University of Rio Grande do Norte, obtaining approval with the General Certificate for Ethics Assessment (CAAE) No 46206215.3.0000.5537. Data were analyzed using descriptive and inferential statistics. Test were used Fisher's exact, chi-square test of Pearson and logistic regression. Since the accuracy of clinical indicators was measured by sensitivity, specificity, predictive values, likelihood ratios. As a result, we identified the presence of diagnosis Lack of Accession on 69% (n = 78) of the study patients. The defining characteristics that showed statistically significant association with the diagnosis studied were: lack of adherence behavior, complications related to development, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. The characteristic with greater sensitivity was missing scheduled appointments and the highest specificity behavior of noncompliance. The logistic regression showed as predictors for the diagnosis Lack of Accession: lack of adherence behavior, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. It was concluded that the identification of clinical indicators accurately enabled a good prediction of the nursing diagnosis Lack of Accession on people living with the Acquired Immune Deficiency Syndrome, helping nurses develop early on strategies for promoting adherence to the use of antiretrovirals.

Um sistema para a inferência de variáveis usando redes neurais artificiais

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