Mortalidade segundo sua causa de morte e seus determinantes: uma análise para as capitais brasileiras e municípios do nordeste do Brasil, 2000 e 2010

This dissertation considered the development of two papers, both related to mortality in Brazil. In the first article, "The context of mortality according to the three broad groups of causes of death in Brazilian capitals, 2000 and 2010", the objective was to analyze the mortality rate according to the three major groups of causes of death in Brazilian capitals. In the second article, "Typology and characteristics of mortality from external causes in the municipalities in the Northeast of Brazil, 2000 and 2010", it was built up a typology for the Northeastern municipalities taking into account information on mortality from external causes and a set of indicators related to socioeconomic, demographic, and infrastructure aspects of such municipalities, both articles for the years 2000 and 2010. Thus, we used data from the Mortality Information System of the Ministry of Health. Furthermore, it was used information from the Demographic Census for those years. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. Was used in Article 1 the pro-rata distribution method to accomplish the redistribution of ill-defined causes. Moreover, made use of the technique of cluster analysis with the aim of grouping the capital that had proportions of deaths from ill-defined causes similar to each other. Already in Section 2, we used the technique of Empirical Bayesian estimation; spatial statistics technique; and finally, the Grade of Membership method to find types of municipalities from information on mortality from external causes associated with socioeconomic, demographic and infrastructure variables. As the main results, it stands out in Article 1, in relation to data quality, we observed the formation of four groups of similar capital between themselves, as the proportion of illdefined causes. Regarding the behavior of mortality, according to the three major groups of causes of death, it was noted both for 2000 and for 2010 the prevalence of deaths from noncommunicable diseases for both sexes, although the reduction was identified rates in some of the capitals. Communicable diseases stood out as the second cause of death among women. Also, we found that deaths due to external causes are responsible for the second cause of death among men, as well as presenting an increase among women. As for the Article 2, stands out, in general, not just an extension of mortality from external causes in the municipalities, as well as an enlargement of the configurator stain existence of external cause deaths for the whole area of Northeast. Regarding the typology of municipalities, three vi extreme profiles were buit: the profile 1, which comprises municipalities with high rates of mortality from external causes and the best social indicators; the profile 2, that was composed of municipalities that are characterized by having low mortality rates from external causes and the lowest social indicators; and the profile 3, that brings together municipalities with intermediate mortality rates and median values considered in relation to social indicators. Although we have not seen changes in the characteristics of the profiles, we observed an increase in the proportion of municipalities that belong to the extreme profile 3, taking into account the mixed profiles.

Identidade regional no cluster comercial da rua Oscar Freire

O objetivo desta pesquisa é verificar manifestações de identidade regional no aglomerado comercial da Rua Oscar Freire. Para os fins propostos, definem-se como componentes da identidade regional sua caracterização empírica, sua imagem e as percepções dos atores em relação à sua existência, bem como sua identificação com o cluster e a disposição para atuar em prol de seu desenvolvimento. A pesquisa é de caráter exploratório e os dados foram obtidos mediante análise de documentos, entrevistas com atores regionais e observação espontânea. As dimensões mais características da imagem da região são: cluster de negócios, rua de luxo, local atraente para empresas, local em que os clientes são bem tratados e modelo para replicação. Verifica-se a existência de identidade regional nesse aglomerado, embora esta seja mais evidente quando se consideram as dimensões cognitiva e afetiva, pois os atores reconhecem a existência do conglomerado comercial, têm consciência de seus limites e de suas funções, e manifestam solidariedade no desempenho das atividades comerciais. A dimensão conativa, que se refere ao desenvolvimento de ações efetivas em prol do desenvolvimento da região, mostra-se menos evidente. Conclui-se que o território, constituído pela Rua Oscar Freire e adjacências, também pode ser considerado uma região socialmente construída, pois além de apresentar abrangência territorial bem definida e uma imagem conceitual e simbólica, faz parte de um sistema de regiões e apresenta identidade regional.

Análise elementar de águas e sumos

A concentração de seis elementos: Cd, Cr, Pb, Ni, Zn e Fe foi medida em sessenta e sete amostras de sumos de fruta 100 %, duas amostras de refrigerantes, dez amostras de concentrados de sumos e sete amostras de águas de diluição utilizadas no processamento dos sumos. As amostras de sumos representam numa prespectiva bastante abrangente o mercado Português de sumos de fruta 100 %. Os refrigerantes concentrados e águas de diluição foram cedidos por duas empresas fabricantes de sumos Portuguesas. As concentrações elementares foram medidas pelas técnicas de FAAS e GFAAS e foi medido também o grau Brix dos sumos. Os factores: fruta, percentagem de fruta, origem, agricultura, tratamento, embalagem, conservação e processo foram obtidos por informação do fabricante nos rótulos dos produtos e por contacto directo. Caracterizou-se o mercado em termos da concentração desses elementos e caracterizou-se a sua diluição comparando-a com valores de referência do mercado Europeu. Mediu-se o grau de associação entre os diversos parâmetros e a concentração final elementar dos sumos e utilizou-se a análise de agrupamentos, a análise de correspondência múltipla e a análise factorial para reestruturar a matriz de dados. Dos resultados obtidos, os sumos de fruta apresentam a seguinte ordem de grandeza nas suas concentrações elementares: Cd Detectou-se uma forte associação entre a concentração elementar dos sumos de fruta 100 % e a concentração elementar dos concentrados e águas de diluição utilizadas no seu processamento.

Análise da influência das provas periciais produzidas por professores da Universidade Federal do Rio Grande do Norte nos processos administrativos oriundos do Ministério Público do RN

Dissertação (mestrado)—Universidade de Brasília, Universidade Federal da Paraíba, Universidade Federal do Rio Grande do Norte, Programa de Pós-Graduação Multiinstitucional e Inter-Regional de Pós-Graduação em Ciências Contábeis, 2016.

Análise multivariada aplicada ao (in)sucesso escolar a matemática no 3º ciclo : estudo de caso

O insucesso escolar em Portugal é preocupante e é um tema que vem despertando interesse crescente por parte dos políticos, dos professores, dos pais e do público em geral. Entre as disciplinas que mais contribuem para esse insucesso está a Matemática. O insucesso na Matemática é uma realidade incontornável, visível não apenas pelos maus resultados alcançados pelos alunos em testes e exames, mas também pelas enormes dificuldades manifestadas por eles na resolução de problemas, no raciocínio matemático e, sobretudo, pelo seu desinteresse em relação à Matemática. Nesta dissertação procurou aliar-se as metodologias de Estatística Multivariada, nomeadamente de Regressão Logística e de Análise de Clusters, ao insucesso escolar. As técnicas estatísticas foram aplicadas a uma base de dados construída para o efeito a partir dos resultados obtidos num inquérito aplicado aos alunos de uma escola, com o objetivo de investigar associações entre o (in)sucesso dos alunos 3.º Ciclo do Ensino Básico na disciplina de Matemática e um conjunto de variáveis referentes a dados pessoais, familiares e escolares dos alunos. Os resultados obtidos através da Análise de Regressão Logistica sugerem que a repetência a Matemática (nível inferior a 3 no final do ano letivo) está dependente da idade do aluno, das dificuldades sentidas, da participação nas aulas, do empenho e do comportamento do aluno. A Análise de Clusters procurou agrupar as variáveis em grupos homogéneos relativamente a características comuns. Verificou-se que as variáveis comportamento do aluno, fazer os trabalhos de casa e a relação com a professora estão fortemente correlacionadas, bem como as variáveis dificuldades e repetência, mas estas duas últimas bastante distantes das restantes. Da aplicação do Método Duas Etapas às variáveis de opinião, fatores de insucesso escolar e medidas para colmatar esse insucesso, resultou três Clusters, dois grandes grupos, um em que predomina a resposta não concordo nem discordo e outro em que predomina o concordo totalmente. Nesta dissertação conseguiu-se identificar importantes factores que podem ajudar a reduzir o insucesso, pelo que os seus resultados poderão ser usados no futuro na elaboração de medidas para melhorar o sucesso.

Análise de DFA e de agrupamento do perfil de densidade de poços de petróleo

In recent years, the DFA introduced by Peng, was established as an important tool capable of detecting long-range autocorrelation in time series with non-stationary. This technique has been successfully applied to various areas such as: Econophysics, Biophysics, Medicine, Physics and Climatology. In this study, we used the DFA technique to obtain the Hurst exponent (H) of the profile of electric density profile (RHOB) of 53 wells resulting from the Field School of Namorados. In this work we want to know if we can or not use H to spatially characterize the spatial data field. Two cases arise: In the first a set of H reflects the local geology, with wells that are geographically closer showing similar H, and then one can use H in geostatistical procedures. In the second case each well has its proper H and the information of the well are uncorrelated, the profiles show only random fluctuations in H that do not show any spatial structure. Cluster analysis is a method widely used in carrying out statistical analysis. In this work we use the non-hierarchy method of k-means. In order to verify whether a set of data generated by the k-means method shows spatial patterns, we create the parameter Ω (index of neighborhood). High Ω shows more aggregated data, low Ω indicates dispersed or data without spatial correlation. With help of this index and the method of Monte Carlo. Using Ω index we verify that random cluster data shows a distribution of Ω that is lower than actual cluster Ω. Thus we conclude that the data of H obtained in 53 wells are grouped and can be used to characterize space patterns. The analysis of curves level confirmed the results of the k-means

Cluster Analysis To Identify Elderly People's Profiles: A Healthcare Strategy Based On Frailty Characteristics.

The new social panorama resulting from aging of the Brazilian population is leading to significant transformations within healthcare. Through the cluster analysis strategy, it was sought to describe the specific care demands of the elderly population, using frailty components. Cross-sectional study based on reviewing medical records, conducted in the geriatric outpatient clinic, Hospital de Clínicas, Universidade Estadual de Campinas (Unicamp). Ninety-eight elderly users of this clinic were evaluated using cluster analysis and instruments for assessing their overall geriatric status and frailty characteristics. The variables that most strongly influenced the formation of clusters were age, functional capacities, cognitive capacity, presence of comorbidities and number of medications used. Three main groups of elderly people could be identified: one with good cognitive and functional performance but with high prevalence of comorbidities (mean age 77.9 years, cognitive impairment in 28.6% and mean of 7.4 comorbidities); a second with more advanced age, greater cognitive impairment and greater dependence (mean age 88.5 years old, cognitive impairment in 84.6% and mean of 7.1 comorbidities); and a third younger group with poor cognitive performance and greater number of comorbidities but functionally independent (mean age 78.5 years old, cognitive impairment in 89.6% and mean of 7.4 comorbidities). These data characterize the profile of this population and can be used as the basis for developing efficient strategies aimed at diminishing functional dependence, poor self-rated health and impaired quality of life.

Aplicação do escore MELD em pacientes submetidos a transplante de fígado: análise retrospectiva da sobrevida e dos fatores preditivos a curto e longo prazo

BACKGROUND: The model for end-stage liver disease (MELD) was developed to predict short-term mortality in patients with cirrhosis. There are few reports studying the correlation between MELD and long-term posttransplantation survival. AIM: To assess the value of pretransplant MELD in the prediction of posttransplant survival. METHODS: The adult patients (age >18 years) who underwent liver transplantation were examined in a retrospective longitudinal cohort of patients, through the prospective data base. We excluded acute liver failure, retransplantation and reduced or split-livers. The liver donors were evaluated according to: age, sex, weight, creatinine, bilirubin, sodium, aspartate aminotransferase, personal antecedents, brain death cause, steatosis, expanded criteria donor number and index donor risk. The recipients' data were: sex, age, weight, chronic hepatic disease, Child-Turcotte-Pugh points, pretransplant and initial MELD score, pretransplant creatinine clearance, sodium, cold and warm ischemia times, hospital length of stay, blood requirements, and alanine aminotransferase (ALT >1,000 UI/L = liver dysfunction). The Kaplan-Meier method with the log-rank test was used for the univariable analyses of posttransplant patient survival. For the multivariable analyses the Cox proportional hazard regression method with the stepwise procedure was used with stratifying sodium and MELD as variables. ROC curve was used to define area under the curve for MELD and Child-Turcotte-Pugh. RESULTS: A total of 232 patients with 10 years follow up were available. The MELD cutoff was 20 and Child-Turcotte-Pugh cutoff was 11.5. For MELD score > 20, the risk factors for death were: red cell requirements, liver dysfunction and donor's sodium. For the patients with hyponatremia the risk factors were: negative delta-MELD score, red cell requirements, liver dysfunction and donor's sodium. The regression univariated analyses came up with the following risk factors for death: score MELD > 25, blood requirements, recipient creatinine clearance pretransplant and age donor >50. After stepwise analyses, only red cell requirement was predictive. Patients with MELD score < 25 had a 68.86%, 50,44% and 41,50% chance for 1, 5 and 10-year survival and > 25 were 39.13%, 29.81% and 22.36% respectively. Patients without hyponatremia were 65.16%, 50.28% and 41,98% and with hyponatremia 44.44%, 34.28% and 28.57% respectively. Patients with IDR > 1.7 showed 53.7%, 27.71% and 13.85% and index donor risk <1.7 was 63.62%, 51.4% and 44.08%, respectively. Age donor > 50 years showed 38.4%, 26.21% and 13.1% and age donor <50 years showed 65.58%, 26.21% and 13.1%. Association with delta-MELD score did not show any significant difference. Expanded criteria donors were associated with primary non-function and severe liver dysfunction. Predictive factors for death were blood requirements, hyponatremia, liver dysfunction and donor's sodium. CONCLUSION: In conclusion MELD over 25, recipient's hyponatremia, blood requirements, donor's sodium were associated with poor survival.

Conseqüências da análise incorreta de experimentos blocados

Errors are always present in experimental measurements so, it is important to identify them and understand how they affect the results of experiments. Statistics suggest that the execution of experiments should follow random order, but unfortunately the complete randomization of experiments is not always viable for practical reasons. One possible simplification is blocked experiments within which the levels of certain factors are maintained fixed while the levels of others are randomized. However this has a cost. Although the experimental part is simplified, the statistical analysis becomes more complex.

O estado da arte da cromatografia associada à espectrometria de massas acoplada à espectrometria de massas na análise de compostos tóxicos em alimentos

Chromatography combined with several different detection systems is one of the more used and better performing analytical tools. Chromatography with tandem mass spectrometric detection gives highly selective and sensitive analyses and permits obtaining structural information about the analites and about their molar masses. Due to these characteristics, this analytical technique is very efficient when used to detect substances at trace levels in complex matrices. In this paper we review instrumental and technical aspects of chromatography-tandem mass spectrometry and the state of the art of the technique as it is applied to analysis of toxic substances in food.

Validação e estimativa da incerteza de método para análise de licopeno e β-caroteno em polpa de tomate por cromatografia líquida de alta eficiência

A method to quantify lycopene and β-carotene in freeze dried tomato pulp by high performance liquid chromatography (HLPC) was validated according to the criteria of selectivity, sensitivity, precision and accuracy, and uncertainty estimation of measurement was determined with data obtained in the validation. The validated method presented is selective in terms of analysis, and it had a good precision and accuracy. Detection limit for lycopene and β-carotene was 4.2 and 0.23 mg 100 g-1, respectively. The estimation of expanded uncertainty (K = 2) for lycopene was 104 ± 21 mg 100 g-1 and for β-carotene was 6.4 ± 1.5 mg 100 g-1.

Experimento didático de quimiometria para análise exploratória de óleos vegetais comestíveis por espectroscopia no infravermelho médio e análise de componentes principais: um tutorial, parte I

This manuscript aims to show the basic concepts and practical application of Principal Component Analysis (PCA) as a tutorial, using Matlab or Octave computing environment for beginners, undergraduate and graduate students. As a practical example it is shown the exploratory analysis of edible vegetable oils by mid infrared spectroscopy.

Análise do investimento em climatização para bovinos de leite em sistema de alojamento free-stall

The difficulty in adapting European dairy cows breeds in Brazil affect considerably the milk production sector. Brazilian climatic conditions are not totally favorable and the development of new tecnologies is needed for the animals express their genetic potential, as well as their best feed conversion. An economical analysis of the applied investment in the free-stall climatization equipment in dairy housing, for estimating studies related to profit, possibility of return investment as well as time for this return is necessary. The objective of this research was to evaluate the influence of climatization investment in the milk production process and analyze the economical aspect of this investment. There were used 470 high productive dairy cows with genetic and morphologic homogeneous characteristics, and analyzed in two similar periods. Investment calculations were done using Excell®. The results were satisfactory and the invested capital was proved to return to the producer in a short term, 57 days.

Modelo de programação quadrática para análise da movimentação logística e comercialização da soja brasileira

The purpose of this work was to analyze the logistical distribution of Brazilian soybean by applying a quadratic programming to a spatial equilibrium model. The soybean transportation system is an important part of the soybean complex in Brazil, since the major part of the costs of this commodity derives from the transportation costs. Therefore, the optimization of this part of the process is essential to a better competitiveness of the Brazilian soybean in the international market. The Brazilian soybean complex have been increasing its agricultural share in the total of the exportation value in the last ten years, but due to other countries' investments the Brazilian exportations cannot be only focused on increasing its production but it still have to be more efficient. This way, a model was reached which can project new frames by switching the transportation costs and conduce the policy makers to new investments in the sector.

Análise de aspectos socioeconômicos e tecnológicos da agropecuária na Bacia Hidrográfica do Rio Mogi Guaçu

Currently, owing to the occurrence of environmental problems, along with the need of environmental preservation, both the territory management of Hydrographic Basin and the conservation of natural resources have proven to have remarkable importance. Thus, the mean goal of the research is to raise and scrutinize social-economic and technologic data from the Mogi Guaçu River Hydrographic Basin (São Paulo, Brazil). The aim is to group municipalities with similar characteristics regarding the collected data, which may direct joint actions in the Hydrographic Basin Management. There were used both the methods of factorial analysis and automatic hierarchical classifications. Additionally, there is going to be applied a Geographical Information System to represent the outcomes of the methods aforementioned, through the evolvement of a geo-referenced database, which will allow the obtainment of information categorically distributed including theme maps of interest. The main characteristics adopted to group the municipalities were: agricultural area, sugar cane production, small farms, animal production, number of agriculture machinery and equipments and agricultural income. The methodology adopted in the Mogi Guaçu River Hydrographic Basin will be analyzed vis-à-vis its appropriateness on basin management, as well as the possibility of assisting the studies on behalf of the São Paulo Hydrographic Basin groups, to regional development.