46 resultados para metodologia de cursos para usuários de bases de dados


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Trata-se de uma revisão bibliográfica que objetivou relacionar as medidas educativas para a promoção da integridade da pele em idosos com as Cartas de Promoção da Saúde. Realizou-se a busca nas bases de dados CINAHL, SCOPUS, LILACS e COCHRANE, nos portais CAPES e BVS e na biblioteca PUBMED, mediante a aplicação dos descritores Health Education; Skin e Aged. Os resultados dos 7 artigos analisados apontaram como principais medidas educativas: inspeção diária da pele, cuidados com calçados e com os pés, uso regular de protetor solar e mudanças de decúbito. Essas medidas estavam relacionadas com as seguintes Cartas de Promoção da Saúde: Ottawa, Declaração de Santafé de Bogotá e Declaração de Jacarta. Conclui-se que as medidas educativas, baseadas nas Cartas, são de grande relevância para a criação de uma cultura de saúde, com enfoque na população e no indivíduo como agentes executores imprescindíveis para o alcance da promoção da saúde

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Consumer dissatisfaction, when properly handled, is a significant information source for the manager. Studies in this area allow broadening the understanding of certain customer attitudes and behaviors, such as loyalty, repurchase intention or satisfaction and trust increase. Above and beyond supporting consumer feedback, dissatisfaction can provide significant opportunities for organizational learning. Starting from dissatisfied customer information, companies can detect service flaws and develop new products. This work presents the results of an investigation on the behavior of businesses belonging to the hotel sector in Natal, RN, through the dissatisfaction of their customers. We have sought to map the main problems presented by customers to hotels, in the perception of managers and employees, as well as to understand both the process of dissatisfactionrelated data collection, analysis, and processing, and the utilization of such information by businesses. Beyond this, we have compared the habits of organizations to the company reaction approaches described in the literature: Complaint Handling, Complaint Management, and Dissatisfaction Management. The used methodology has been based on case study. Data was collected via indepth interviews with managers and employees in six hotels, two independent ones and four belonging to national and international hotel networks. We have also made use of documents provided by the organizations, such as guest complaint registers and reports from satisfaction surveys on which content analysis was subsequently performed. The results of the investigation point to a high level of awareness in the companies concerning the importance of consumer dissatisfaction. Even though the maximum grade in the procedure scale is not achieved, it has been observed that answer to dissatisfaction is given in planned and systematic form, geared towards consumer satisfaction and improvement of products and processes. Hotel businesses still have to look into other possibilities for mapping consumer dissatisfaction, which implies, among other aspects, articulation with a range of public and private organizations in such a way as to guarantee sustainability of touristic activities in the long term

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In Brazil, the selection of school principals is set in a decentralized manner by each state and city, such that processes may vary with time for a specific locality. In the state of Bahia, school principals were appointed by a higher political hierarchy until 2008, when schools under state administration started selecting principals by elections. The main goal of this work is to evaluate whether changing this specific rule affected students proficiency levels. This is achieved by using a panel data and difference-in-differences approachs that compares state schools (treatment group) to city schools (control group) that did not face a selection rule change and thus kept having their principals politically appointed. The databases used are Prova Brasil 2007, 2009 and 2011, the first one prior and the other two former to the policy change. Our results suggest that students attending schools with principals that are selected and elected have slightly lower mean proficiency levels both in mathematics and in portuguese exams than those attending schools with appointed principals. This result, according to the literature, could be related to perverse effects of selecting school administrators by vote, such as corporatism, clientelism and politicization of the school environment

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We present a checklist of the shores fishes of the coast of the Rio Grande do Norte state. Species were registered through the specimens collection, underwater records, samples in landings of artisanal fleet and by compilation of data from literature and ichthyologic collections, between January 2004 to 2006. A total of 440 species form 2 classes, 25 orders, 106 families and 253 genus were registered. It is believed that due the great increase of the number of species registered, the ichthyofauna of the coast of this state is reasonably known

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Conselho Nacional de Desenvolvimento Científico e Tecnológico

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Introdução: Estudos demonstram uma relação entre a queda da imunidade e o aumento da incidência de câncer. Objetivo: Comparar a incidência de câncer em pacientes infectados pelo HIV e em transplantados com a da população geral. Métodos: Foi realizada revisão sistemática com metanálise, combinando descritores específicos nas bases de dados Pubmed, Scielo, Cancerlit e Google Scholar, buscando alta sensibilidade para responder o objetivo da pesquisa. Os artigos considerados de alta qualidade metodológica por apresentarem todos os critérios de inclusão foram avaliados por metanálise. Resultados: Foram incluídos 25 estudos envolvendo 866776 pessoas com HIV/AIDS e transplantados, em que foram diagnosticados 21260 novos casos de carcinoma. Observou-se que o risco para o surgimento de novos casos de câncer foi maior entre indivíduos com HIV/AIDS (SIR= 4, IC95% 3,78-4,24) e entre os transplantados (SIR= 3,28, IC95% 3,06-3,52) quando comparado com a população em geral. Conclusão: A incidência similar em ambas as populações pesquisadas sugere que o comprometimento do sistema imune, comum em ambas, é responsável pelo risco aumentado de novos casos de câncer. Investimentos em pesquisas que desenvolvam estratégias de prevenção mais eficazes para os dois grupos são necessários, pois podem contribuir para a redução da incidência e para a diminuição da mortalidade.

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Uma grande quantidade de informações dá suporte à relação existente entre inatividade física e processos inflamatórios latentes em distúrbios metabólicos. O objetivo deste trabalho foi acessar criticamente o corpo de evidências existentes na literatura sobre a associação entre programas de exercícios físicos e os níveis de biomarcadores inflamatórios em mulheres entre 18 e 82 anos de idade. Foram realizadas buscas bibliográficas sistemáticas usando as bases de dados PubMed Medline, Cochrane Central Register of Controlled Trials, Web of Science, LILACS e SciELO de publicações entre janeiro de 1993 e janeiro de 2012 usando os seguintes termos: inflamação, citocinas, exercícios, treinamento físico, treinamento aeróbico, treinamento cardiovascular, treinamento de força, treinamento contra resistência, treinamento intervalado, reabilitação cardíaca e gerenciamento/modificação terapêutica de estilo de vida. Do total de estudos incluídos na revisão, três deles reportaram mudanças não significativas nos níveis de biomarcadores inflamatórios, um estudo documentou um aumento nos biomarcadores e 12 estudos reportaram decréscimos nos níveis de biomarcadores inflamatórios associados com exercício. Características secundárias do estilo de vida, como trabalho físico extenuante e fumo, afetaram os níveis de biomarcadores inflamatórios. Intervenções integrativas incluindo dieta, exercício aeróbico moderado (60% a 80% da frequência cardíaca máxima ou 50% a 60% do VO2Máx), treinamento contra resistência em circuito (8 a 10 exercícios, 8 a 12 repetições), aconselhamento e educação voltados para a saúde, usados conjuntamente, se apresentaram como possíveis estratégias efetivas na melhoria nos níveis de biomarcadores inflamatórios em mulheres

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The study aims to answer the following question: what are the different profiles of infant mortality, according to demographic, socioeconomic, infrastructure and health care, for the micro-regions at the Northeast of Brazil? Thus, the main objective is to analyze the profiles or typologies associated mortality levels sociodemographic conditions of the micro-regions, in the year 2010. To this end, the databases of birth and death certificates of SIM and SINASC (DATASUS/MS), were taken from the 2010 population Census microdata and from SIDRA/IBGE. As a methodology, a weighted multiple linear regression model was used in the analysis in order to find the most significant variables in the explanation child mortality for the year 2010. Also a cluster analysis was performed, seeking evidence, initially, of homogeneous groups of micro-regions, from of the significant variables. The logit of the infant mortality rate was used as dependent variable, while variables such as demographic, socioeconomic, infrastructure and health care in the micro-regions were taken as the independent variables of the model. The Bayesian estimation technique was applied to the database of births and deaths, due to the inconvenient fact of underreporting and random fluctuations of small quantities in small areas. The techniques of Spatial Statistics were used to determine the spatial behavior of the distribution of rates from thematic maps. In conclusion, we used the method GoM (Grade of Membership), to find typologies of mortality, associated with the selected variables by micro-regions, in order to respond the main question of the study. The results points out to the formation of three profiles: Profile 1, high infant mortality and unfavorable social conditions; Profile 2, low infant mortality, with a median social conditions of life; and Profile 3, median and high infant mortality social conditions. With this classification, it was found that, out of 188 micro-regions, 20 (10%) fits the extreme profile 1, 59 (31.4%) was characterized in the extreme profile 2, 34 (18.1%) was characterized in the extreme profile 3 and only 9 (4.8%) was classified as amorphous profile. The other micro-regions framed up in the profiles mixed. Such profiles suggest the need for different interventions in terms of public policies aimed to reducing child mortality in the region

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Urbanization in their mearing simpler, the agglomeration of people, occurred from the time that the productive activities have to be based on trade. The first cities arose when the evolution of agriculture allowed the production and storage of surpluses. However, with industrialization was that urbanization becomes intense, according to Singer (1987), the industrial revolution was to stage, from the beginning, the urban area. It requires, in its proximity, the presence of a large number of workers. With respect to the Cariri cearense, the occupation of its territory is associated with the movement of agricultural surpluses produced and reproduced under the hegemony of merchant capital and due to the development of extensive cattle that promoted the territorial occupation of Ceará. From the 1960s, the region has undergone changes in its productive structure due to industrial planning policies of the government of Ceará. However it was in the 1990s that the region itself as economic and urban polo because policies to attract investments from the state government of Ceará. This policy led to boosting trade and services marking the predominance of tertiary activities in the region, especially the retail, wholesale , medical services and education. Investments also consolidated the industrial park area making it diverse, especially the footwear industries, mining, non-metallic minerals, transport equipment, pharmaceutical chemical, food and beverages, rubber and leather and construction. Thus, the aim of this study was to review the region of Cariri cearense occupation of its territory institutionalizing its metropolitan region, to understand what factors influenced the Cariri cearense become an important area in urban and economic terms in the interior of Ceará. In order to develop this research in that refers to the methodological perspective, research is guided by bibliographic studies and also makes use of secondary data analysis (population, GDP, urbanization rate, employment) of the main databases the country, as IBGE, IPEADATA and RAIS - MTE

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A pesquisa teve como objetivo elaborar e validar um instrumento para sistematizar a assistência de enfermagem à puérpera no âmbito da atenção básica. O documento foi construído com base na Teoria das Necessidades Humanas Básicas de Horta, na Padronização de um Conjunto Internacional de Dados Essenciais em Enfermagem e na Nomenclatura de diagnósticos e intervenções de enfermagem desenvolvida a partir dos resultados da Classificação Internacional para as Práticas de Enfermagem. Trata-se de um estudo do tipo metodológico desenvolvido em cinco etapas: identificação dos indicadores empíricos relativos à puérpera mediante revisão integrativa da literatura; avaliação dos indicadores empíricos e sua relação com as necessidades humanas básicas por grupo focal com cinco enfermeiras especialistas; estruturação do instrumento mediante a categorização dos indicadores; validação de forma e conteúdo do instrumento pelos especialistas, por meio da técnica Delphi; e aplicação e desenvolvimento das afirmativas de diagnóstico e intervenções de enfermagem. A coleta de dados da primeira etapa ocorreu nos meses de janeiro a março de 2013 nas bases de dados Scopus, Cinahl, Pubmed, Cochrane, e no periódico Journal of Midwifery and Women s Health. A segunda, terceira e quarta etapas se realizaram nos meses de maio a outubro de 2013. Participaram doze e sete especialistas na primeira e segunda rodada de avaliação respectivamente. A seleção dos especialistas ocorreu pela Plataforma Lattes mediante os seguintes critérios de inclusão: ser enfermeiro (a) docente e especialista em enfermagem obstétrica. A consulta a estes profissionais se deu via email e, ao aceitarem participar da pesquisa, assinaram um Termo de Consentimento Livre e Esclarecido. A pesquisa obteve aprovação da Comissão de Ética em Pesquisa da Universidade Federal do Rio Grande do Norte, sob o protocolo nº 184.241 e Certificado de Apresentação para Apreciação Ética nº 11674112.3.0000.5537. Para análise dos dados da primeira etapa, utilizou-se a estatística descritiva e os resultados apresentados em forma de tabelas. Nesta etapa, identificou-se 97 indicadores empíricos e, quando relacionados com as necessidades humanas básicas, 46 desses encontravam-se nas necessidades psicobiológicas, 51 nas psicossociais e 01 nas necessidades psicoespirituais. Com relação à segunda e terceira etapas, os dados passaram por um processo de categorização e análise pelo Índice de Validade de Conteúdo. Os indicadores obtiveram um índice de validação de 100%. Na parte de avaliação da puérpera, os itens não validados foram excluídos do instrumento. Os demais itens obtiveram índice acima de 70%, sendo, portanto, o instrumento validado. O instrumento para a consulta de enfermagem é constituído de dados de identificação da puérpera, dados de avaliação das necessidades humanas da puérpera e itens do cuidado de enfermagem. Na versão final foram selecionados 73 Diagnósticos de Enfermagem e 155 Intervenções de Enfermagem a partir da categorização dos indicadores empíricos validados na segunda e terceira etapas do estudo. Com a conclusão do estudo, o enfermeiro disporá de um instrumento para sistematização da assistência à puérpera na atenção básica. Além disso, o documento servirá como ferramenta para o ensino e a pesquisa em enfermagem obstétrica

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Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowledge Discovery in Databases (KDD) appears then, as an option to allow the study of complex problems in different areas of management. This work proposes both a systematization of KDD activities using concepts from different methodologies, such as CRISP-DM, SEMMA and FAYYAD approaches and a study concerning the viability of multivariate regression analysis models to explain corporative telecommunications sales using performance indicators. Thus, statistical methods were outlined to analyze the effects of such indicators on the behavior of business productivity. According to business and standard statistical analysis, equations were defined and fit to their respective determination coefficients. Tests of hypotheses were also conducted on parameters with the purpose of validating the regression models. The results show that there is a relationship between these development indicators and the amount of sales

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The sharing of knowledge and integration of data is one of the biggest challenges in health and essential contribution to improve the quality of health care. Since the same person receives care in various health facilities throughout his/her live, that information is distributed in different information systems which run on platforms of heterogeneous hardware and software. This paper proposes a System of Health Information Based on Ontologies (SISOnt) for knowledge sharing and integration of data on health, which allows to infer new information from the heterogeneous databases and knowledge base. For this purpose it was created three ontologies represented by the patterns and concepts proposed by the Semantic Web. The first ontology provides a representation of the concepts of diseases Secretariat of Health Surveillance (SVS) and the others are related to the representation of the concepts of databases of Health Information Systems (SIS), specifically the Information System of Notification of Diseases (SINAN) and the Information System on Mortality (SIM)

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One of the most important goals of bioinformatics is the ability to identify genes in uncharacterized DNA sequences on world wide database. Gene expression on prokaryotes initiates when the RNA-polymerase enzyme interacts with DNA regions called promoters. In these regions are located the main regulatory elements of the transcription process. Despite the improvement of in vitro techniques for molecular biology analysis, characterizing and identifying a great number of promoters on a genome is a complex task. Nevertheless, the main drawback is the absence of a large set of promoters to identify conserved patterns among the species. Hence, a in silico method to predict them on any species is a challenge. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. In this work, we present an empirical comparison of Machine Learning (ML) techniques such as Na¨ýve Bayes, Decision Trees, Support Vector Machines and Neural Networks, Voted Perceptron, PART, k-NN and and ensemble approaches (Bagging and Boosting) to the task of predicting Bacillus subtilis. In order to do so, we first built two data set of promoter and nonpromoter sequences for B. subtilis and a hybrid one. In order to evaluate of ML methods a cross-validation procedure is applied. Good results were obtained with methods of ML like SVM and Naïve Bayes using B. subtilis. However, we have not reached good results on hybrid database

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Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated