Utilização de métodos estatísticos multivariados na caracterização do mosaico sucessional em floresta semidecídual

O presente trabalho objetivou verificar a possibilidade da utilização de métodos estatísticos multivariados na caracterização das fases do desenvolvimento do mosaico sucessional de um trecho de floresta estacional semidecidual, através de variáveis estruturais. Foram alocadas parcelas de 10 m x 10 m, em que se procedeu à análise estrutural, ou seja, levantamento fitossociológico acrescido das variáveis Porcentagem de Cobertura (PC), Altura do Dossel (AD) e Cobertura por Lianas (CL). Os métodos estatísticos empregados foram Análise de Componentes Principais e Análise de Agrupamento, mais especificamente Classificação Hierárquica Ascendente. O primeiro componente principal explicou 43,96% da variância total, enquanto o segundo, 25,66%. As variáveis Área Basal (AB), Diâmetro Médio (DM) e Dominância Média (DOM) apresentaram correlações positivas entre si superiores a 0,75, podendo ser DM e DOM consideradas como um grupo de variáveis. As variáveis Número de Indivíduos (NI) e Número de Espécies (NE) apresentaram correlação 0,60, enquanto AD, CL e PC baixas correlações com as demais, indicando a importância da inclusão destas na análise. A classificação hierárquica e a partição dos grupos em quatro foram feitas considerando os dois primeiros eixos fatoriais. Os resultados indicaram dois comportamentos diferenciados: 1) valores baixos para AD e AB: Grupo 1, com valores baixos também para NI, NE e PC (fase de clareira); e Grupo 2, com valores elevados para NI e CL e baixos para DOM e DM (fase de construção); e 2) valores altos para AD e AB: Grupo 3, com valores altos também para NI, NE e PC e valor baixo para CL (fase madura); e Grupo 4, com valores elevados para DOM e DM e mais baixos para CL (fase de degradação). Os métodos estatísticos multivariados permitiram caracterizar as fases do desenvolvimento do mosaico sucessional, através das variáveis estruturais. A forma como foram estimadas as variáveis AD, CL e PC, porém, deve ser aprimorada, assim como é preciso incluir variáveis que discriminem melhor cada fase.

Seasonality of macroalgal communities in a subtropical drainage basin in Paraná state, southern Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Disfunção sexual feminina e níveis dos hormônios esteroidais em mulheres obesas atendidas no ambulatório de cirurgia bariátrica do hospital universitário Onofre Lopes em Natal/RN

A disfunção sexual corresponde a alterações em uma ou mais fases da resposta sexual humana e apresenta maior prevalência na população feminina. Ademais, a participação de alguns fatores como obesidade e níveis dos hormônios esteroidais na disfunção sexual feminina (DSF) permanece incerta. O presente estudo deteve-se na análise da ocorrência de DSF numa população de mulheres portadoras de obesidade, cadastradas no Ambulatório de Cirurgia Bariátrica do Hospital Universitário Onofre Lopes, da Universidade Federal do Rio Grande do Norte, no município de Natal, RN. O estudo foi realizado em uma amostra composta por trinta e uma mulheres, com idade entre 20 e 50 anos, com índice de massa corpórea (IMC) > 30 Kg/m2. A todas as pacientes foi aplicado um questionário composto por uma seção com dados socio-econômicos, e outra abordando a saúde sexual feminina, sendo esta última correspondente ao Female Sexual Function Index (FSFI), para diagnóstico de DSF. A partir dessa caracterização, as pacientes foram reunidas nos grupos CD (pacientes com disfunção, n= 9) e SD (sem disfunção, n= 22). Para a análise do efeito da obesidade na DSF, as pacientes foram reunidas nos grupos 1 (6 pacientes com IMC grau I e II: entre 30 e 40 Kg/m2) e 2 (25 com IMC grau III: acima de 40). Para o estudo da participação dos hormônios esteroidais foram determinadas as concentrações séricas de cortisol, estradiol e dehidroepiandrosterona (DHEA) pelo método de quimiluminescência. A análise estatística dos dados foi realizada usando os testes ANOVA, MANOVA (Pillai), além de análise de Cluster. Para identificar as diferenças entre os domínios do FSFI, foi usado o teste T de Student. A significância considerada para todos os testes foi para p< 0,01. Das pacientes estudadas, 25,8% apresentaram DSF de acordo com o escore total do FSFI. A análise estatística posterior evidenciou que as diferenças ocorreram para os domínios desejo, excitação e orgasmo. Não foi encontrada relação da presença de DSF com os diferentes graus de obesidade ou com os níveis hormonais dos esteróides cortisol, estradiol ou DHEA. Contudo, foi encontrado aumento significativo nos níveis séricos de estradiol para o grupo 1, que corresponde ao de menor índice de IMC. Estes resultados mostram que a prevalência de DSF não diferiu entre os graus I,II e III de obesidade das pacientes deste estudo mas, quando presente, a disfunção ocorre nos domínios desejo, excitação e orgasmo. A maior concentração de estradiol encontrada nas pacientes de menor índice de IMC sugere uma possível relação entre as duas variáveis que precisa ser investigada em estudos futuros.

Trajetória de carreira do profissional de recursos humanos

The idea that the career consists in a linear path throughout the individual s professional life structured by the company where he or she works has been changing to a new reality in which the career is seen as a journey, open to possibilities and uncertainties. Several models have come up as an attempt to comprehend and analyze this journey. Among them, there is the model of career narrative, which assumes that, while narrating, individuals give meaning to their own path, and at the same time they consider personal factors and the environment that act on their professional biography. This paper aimed to explore and articulate issues related to the environment and career paths of the human resource professionals working in the Greater Natal. For this purpose, the model of career narrative was used. From the methodological viewpoint, the project was divided in two stages. The first was characterized by conducting a survey with the intention of mapping professionals socio-occupational characteristics, through the application of a semi-structured questionnaire. The data was analyzed by descriptive statistical techniques and cluster analysis. The descriptive statistical analyses included 117 participants. The results indicated that HR professionals of Greater Natal have different functions, develop activities focused on different subsystems, have an increasing career path, and focus their professional formation in Business Administration and Psychology. The second stage of the study was characterized by the use of 17 narrative interviews, whose participants, in the process of nonprobabilistic sampling, were identified based on their belonging to the three clusters: Group 1, HR and public administration; Group 2, HR experts; and Group 3, HR beginners. Analyzing the results of the qualitative phase, it was found that the identification with the activity practiced is a deciding factor for choosing and remaining in the HR field. The lack of professional recognition appears as the main difficulty faced by professionals, as well as the lack of employment opportunity in the Greater Natal. The results analysis leads to a series of discussions on the career path in HR and reflections for this professional category, its representative bodies and educational institutions

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%

Uso da espectroscopia do infravermelho próximo e técnicas multivariadas para diferenciar escherichia coli e salmonella enteritidis inoculadas em polpa de fruta (abacaxi)

Aiming to consumer s safety the presence of pathogenic contaminants in foods must be monitored because they are responsible for foodborne outbreaks that depending on the level of contamination can ultimately cause the death of those who consume them. In industry is necessary that this identification be fast and profitable. This study shows the utility and application of near-infrared (NIR) transflectance spectroscopy as an alternative method for the identification and classification of Escherichia coli and Salmonella Enteritidis in commercial fruit pulp (pineapple). Principal Component Analysis (PCA), Independent Modeling of Class Analogy (SIMCA) and Discriminant Analysis Partial Least Squares (PLS-DA) were used in the analysis. It was not possible to obtain total separation between samples using PCA and SIMCA. The PLS-DA showed good performance in prediction capacity reaching 87.5% for E. coli and 88.3% for S. Enteritides, respectively. The best models were obtained for the PLS-DA with second derivative spectra treated with a sensitivity and specificity of 0.87 and 0.83, respectively. These results suggest that the NIR spectroscopy and PLS-DA can be used to discriminate and detect bacteria in the fruit pulp

Desenvolvimento e teste de um modelo estatístico de identificação das proporções de água produzida em zonas de produção de um campo maduro de petróleo

This study investigates the chemical species produced water from the reservoir areas of oil production in the field of Monte Alegre (onshore production) with a proposal of developing a model applied to the identification of the water produced in different zones or groups of zones.Starting from the concentrations of anions and cátions from water produced as input parameters in Linear Discriminate Analysis, it was possible to estimate and compare the model predictions respecting the particularities of their methods in order to ascertain which one would be most appropriate. The methods Resubstitution, Holdout Method and Lachenbruch were used for adjustment and general evaluation of the built models. Of the estimated models for Wells producing water for a single production area, the most suitable method was the "Holdout Method and had a hit rate of 90%. Discriminant functions (CV1, CV2 and CV3) estimated in this model were used to modeling new functions for samples ofartificial mixtures of produced water (producedin our laboratory) and samples of mixtures actualproduced water (water collected inwellsproducingmore thanonezone).The experiment with these mixtures was carried out according to a schedule experimental mixtures simplex type-centroid also was simulated in which the presence of water from steam injectionin these tanks fora part of amostras. Using graphs of two and three dimensions was possible to estimate the proportion of water in the production area

Avaliação da informação de websites turísticos das cidades-sede da copa 2014

This study aims to analyze tourist information provided by the official websites of the 2014 FIFA World Cup host cities. The framework developed by Díaz (2005) was applied to analyze different aspects, such as: local tourist information, tourist services distribution, communication and interaction between website and users, and website foreign language versions. This dissertation describes how society and tourism are related by analyzing the consequences of technological evolution in the travel and tourism sector, showing the importance of the use of information and communication technology to provide accurate, upto- date and low-cost information to tourist destinations. Because of the nature of the study, the research subjects are the 12 Brazilian host cities represented by their respective official webpages (cities, states and convention bureaus), and also Brazil s official website, totalizing 36 elements to be analyzed. The methodology has been characterized as descriptive and exploratory with quantitative analysis, and also using desk research and survey literature review. In order to analyze the data collected, parametric and nonparametric statistics tests were used, such as: variance analysis (ANOVA and KRUSKAL-WALLIS) to measure means variance between groups combined with multiple comparison tests (Tukey and Games Howell); nonparametric correlations tests (Kendall s Tau b); and cluster analyses. Finally, Microsoft Excel was used to collect data and SPSS for managing data through quantitative analyses tests. Overall, the websites of the south region showed better results than the other Brazilian regions. Despite this result, the data analysis demonstrated that the available tourist information are incomplete as it was verified that tourist host cities websites are unable to provide all the information needed for the web visitors to organize and plan their journey. This means that visitors have to look for more information in other sources

Transtornos mentais comuns e uso de psicofármacos: impacto das condições socioeconômicas

OBJETIVO: Avaliar a influência das condições socioeconômicas na associação entre transtornos mentais comuns, uso de serviços de saúde e de psicofármacos. MÉTODOS: Estudo transversal populacional conduzido na cidade de Botucatu, SP, com amostragem probabilística, estratificada e por conglomerados. Foram realizadas entrevistas domiciliares com 1.023 sujeitos de 15 anos ou mais de idade, entre 2001 e 2002. Transtorno mental comum foi avaliado utilizando o Self Reporting Questionnaire (SRQ-20). O uso de serviços foi investigado com relação à quinzena anterior à entrevista e uso de psicotrópicos, nos três dias anteriores. Utilizou-se regressão logística para análise multivariável, considerando o efeito do desenho. RESULTADOS: No total da amostra, 13,4% (IC 95%: 10,7;16,0) procuraram serviços de saúde na quinzena anterior à entrevista. A procura de serviços de saúde se associou ao sexo feminino (OR=2,0) e à presença de transtorno mental comum (OR=2,2). Na amostra 13,3% (IC 95%: 9,2;17,5) referiram ter usado ao menos um psicotrópico, destacando-se os antidepressivos (5,0%) e os benzodiazepínicos (3,1%). Na análise multivariável, sexo feminino e presença de transtorno mental comum mantiveram-se associados ao uso de benzodiazepínicos. Renda per capita mostrou-se direta e independentemente associada ao uso de psicofármacos, conforme aumento da renda. CONCLUSÕES: Menor renda associou-se à presença de transtorno mental comum, mas não ao uso de psicotrópicos. A associação entre transtorno mental comum e uso de psicotrópicos e maior renda reforça a hipótese da existência de iniqüidades no acesso à assistência médica na população estudada.

Feature selection through gravitational search algorithm

In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the speed of Optimum-Path Forest (OPF) classifier in order to provide a fast and accurate framework for feature selection. Experiments on datasets obtained from a wide range of applications, such as vowel recognition, image classification and fraud detection in power distribution systems are conducted in order to asses the robustness of the proposed technique against Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and a Particle Swarm Optimization (PSO)-based algorithm for feature selection.

A function to predict the risk for death in the neonatal sepsis

This was a prospective study of 43 septic neonates at the NICU of the School of Medicine of Botucatu, São Paulo State University. Clinical and laboratory data of sepsis were analyzed based on outcome divided into two groups, survival and death. We calculated the discriminatory power of the relevant variables for the diagnosis of sepsis in each group, and using software for Discriminant Analysis, a function was proposed. There were 43 septic cases with 31 survivals and 12 deaths. The variables that had the highest discriminatory power were: n(o) of compromised systems, the SNAP, FiO2, and (A-a)O2. The study of these and others variables, such as birth weight, n(o) of risk factors, and pH using a Linear Discriminant Function(LDF) allowed us to identify the high-risk neonates for death with a low error rate (8.33%). The LDF was: F = 0.00043 (birth weight) + 0.30367 (n(o) of risk factors) - 0.1171 (n(o) of compromised systems) + 0.33223 (SNAP) + 2.27972 (pH) - 14.96511 (FiO2) + 0.01814 ((A-a)O2). If F > 22.77 there was high risk of death. This study suggests that the LDF at the onset of sepsis is useful for the early identification of the high-risk neonates that need special clinical and laboratory surveillance.

Genetic variability in geographical populations of Aedes aegypti (Diptera, Culicidae) in Brazil elucidated by molecular markers

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Single Nucleotide Polymorphism Markers in Aedes aegypti Populations in Brazil

Single nucleotide polymorphisms (SNPs) were investigated in eighteen genes of sixteen populations of Aedes aegypti in Brazil. Eight SNP markers were selected in nine genes and surveyed in A. aegypti populations of three localities in different geographical locations. SNPs revealed significant genetic differentiation among populations recently analyzed by mitochondria DNA (mtDNA) and represented by a single genetic group (lineage). Results suggest that a haplotype derived from mtDNA analysis could be represented by different Aedes lineages revealed by SNP characterization. Genetic distances (pairwise F(ST)), AMOVA and cluster analyses indicated a high genetic structure for the A. aegypti populations investigated by SNPs. This set of SNP markers represents a useful tool for genetic studies in A. aegypti populations

Fitossociologia e distribuição de espécies arbóreas em uma floresta ribeirinha secundária no município de Rio Claro, SP, Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Typing Candida albicans oral isolates from healthy Brazilian schoolchildren using multilocus enzyme electrophoresis reveals two highly polymorphic taxa

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)