Ambiente data cleaning: suporte extensível, semântico e automático para análise e transformação de dados

Pós-graduação em Ciência da Computação - IBILCE

Análise multivariada de dados espaciais na classificação interpretativa de solos

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

A ictiofauna no monitoramento da qualidade ambiental em um distrito industrial do estuário amazônico

Vila do Conde está localizada no município de Barcarena, Pará, Brasil. Nesta região está concentrado um importante pólo industrial de mineração, constituindo um fator de risco para a qualidade da água. Diante do exposto, este trabalho teve o objetivo de avaliar a qualidade da água no ambiente estuarino localizado no entorno de Vila do Conde utilizando a ictiofauna como bioindicador e o fígado de duas espécies de peixes como biomarcador histopatológico. As coletas do material abiótico (água) e da ictiofauna ocorreram em três áreas considerando os diferentes níveis de impacto: Zona 1, localizado no entorno do terminal portuário e industrial de Vila do Conde, considerada como alto risco de contaminação; Zona 2, localizada na ilha do Capim, na divisa dos municípios de Barcarena e Abaetetuba, classificada com risco médio de impacto; Zona 3, localizada na ilha das Onças, município de Barcarena, classificada com risco minímo por está distante das fontes de contaminação. Para todas as áreas de estudo foram feitas amostragens tanto no ambiente de canal quanto no canal de maré ao longo de quatro coletas bimestrais -, transição chuvoso para o seco (Junho 2009), seco (Setembro 2009), transição seco para chuvoso (Janeiro 2010) e período chuvoso (Abril 2010), no período de um ano de coleta. Para a obtenção dos dados foram utilizados rede de emalhar e rede de tapagem. Como forma de abordar diferentes vertentes sobre a qualidade da água em Vila do Conde, este trabalho foi dividido em etapas. A primeira etapa consistiu do uso da ictiofauna como bioindicadora (capítulo 1). Na segunda etapa foram selecionadas duas espécies abundantes com hábitos alimentares distintos, Plagioscion squamosissimus e Lithodoras dorsalis, para avaliar a saúde do ambiente através da utilização do fígado como iomarcador histopatológico (capítulo 2). Por fim todas as famílias de descritores da comunidade estudadas nos capítulos 1 e 2 foram integralizadas através do uso de índices de integridade biológica (capítulo 3). A análise da ictiofauna como bioindicadora mostrou que, para os dois ambientes (canal e igarapé), considerando as várias famílias de descritores, foi evidente a composição diferenciada entre os locais. Das 77 espécies capturadas, apenas 23 foram encontradas na zona 1. Adicionalmente, também foi observada a diminuição de organismos de grande porte. Este decréscimo foi considerado como uma resposta ecológica inicial as alterações antrópicas. A análise dos biomarcadores, feito através do estudo histopatológico do fígado se mostrou eficiente e demonstrou que presença antrópica naquela região está afetando a saúde da P. squamosissimus e L. dorsalis. O MAV (Mean Assessment Values), HAI (Histological Alteration Index) e o MDS (multidimensional scaling) mostraram claramente as diferenças entre as áreas estudadas. Nas áreas em que existe o contato mais próximo com o porto e as indústrias, as alterações foram mais severas e algumas consideradas irreversíveis para as duas espécies. As principais lesões encontradas nas duas espécies foram: o aumento do centro melanomacrófagos, degeneração gordurosa, inflamação nos hepatócitos, hepatite, congestão nos vasos e necrose focal. As alterações hepáticas observadas neste estudo foram mais intensas em P. squamosissimus que é carnívora e se alimenta na área de estudo predominantemente de camarão. Através dos índices de integridade todas as informações sobre a comunidade descritas anteriormente foram agregadas e denominadas de métricas. Para os dois ambientes (canal e igarapé), a curva de biomassa/dominância ABC mostrou que as zonas 1 e 2 apresentaram alterações, sendo estas áreas classificadas como moderadamente impactadas. Os índices BHI (Estuarine biological health index), EFCI (Estuarine fish community índex), TFCI (Transitional fish classification índex) e EBI (Estuarine biotic integrity index) foram considerados excelentes indicadores de integridade nas áreas de estudos e foram eficientes em mostrar alterações graves da comunidade de peixes na zona 1. Quanto à zona 2, já foi possível observar algum tipo de alteração no ambiente, mostrando que a contaminação não está se restringindo apenas ao entorno de Vila do Conde. As metodologias aplicadas foram capazes de detectar as interferências antrópicas na área de estudo e podem para ser replicadas em outros ambientes estuarinos. Entretanto, estudos mais detalhados e por um maior período de tempo ainda são necessários em Vila do Conde, principalmente relacionadas à bioacumulação de metais pesados nas principais espécies consumidas.

Analysis of 25 mutual eclipses and occultations between the Galilean satellites observed from Brazil in 2009

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Singular Value Decomposition and Ligand Binding Analysis

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Metabolic profiling by ultra-performance liquid chromatography-mass spectrometry and parallel factor analysis for the determination of disease biomarkers in Eucalyptus

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

Implementation of an F-statistic all-sky search for continuous gravitational waves in Virgo VSR1 data

We present an implementation of the F-statistic to carry out the first search in data from the Virgo laser interferometric gravitational wave detector for periodic gravitational waves from a priori unknown, isolated rotating neutron stars. We searched a frequency f(0) range from 100 Hz to 1 kHz and the frequency dependent spindown f(1) range from -1.6(f(0)/100 Hz) x 10(-9) Hz s(-1) to zero. A large part of this frequency-spindown space was unexplored by any of the all-sky searches published so far. Our method consisted of a coherent search over two-day periods using the F-statistic, followed by a search for coincidences among the candidates from the two-day segments. We have introduced a number of novel techniques and algorithms that allow the use of the fast Fourier transform (FFT) algorithm in the coherent part of the search resulting in a fifty-fold speed-up in computation of the F-statistic with respect to the algorithm used in the other pipelines. No significant gravitational wave signal was found. The sensitivity of the search was estimated by injecting signals into the data. In the most sensitive parts of the detector band more than 90% of signals would have been detected with dimensionless gravitational-wave amplitude greater than 5 x 10(-24).

Data collection on bone density of mandibular alveolar bone on a Hounsfield scale of the dental apex of the cranial root of the first inferior molar in dogs using computed tomography at FMVZ-UNESP

The head is the most important and specialized region in the body because it contains a range of specialized organs and, because it has interconnections between specialized organs, there is a great overlap of images. Thus, computed tomography (CT) helps in diagnosing diseases in this region, such as oral conditions, as they provide millimetric slices or cuts and demonstrate the relationship between the various anatomical structures involved, in volume and depth. Within dentistry, CT helps in the identification of pathological processes such as infection, tumors, visualization of embedded teeth and bone bed. This study aimed to assess the density of the mandibular alveolar bone at a determined point to later predict how periodontal disease is involved in bone resorption. For this, we performed a blind retrospective study (n = 124) of the CT scan files of dog skulls at FMVZ-UNESP in order to determine the density of the jaw bone using a Hounsfield scale, in the region of the dental apex of the cranial root of the first molar tooth in dogs. The results obtained were evaluated using mean and standard deviation (27.28 +/- 9.53 HU) in order to predict the normal density of the mandibular alveolar bone in the studied region. Thus, this data analysis allows a more concise evaluation of bone resorption of mandibular alveolar bone and, therefore, provides an adequate surgical planning in cases of osteosynthesis given mainly by the presence of installed periodontal disease.

Estimation of a preference map of new consumers for spatial load forecasting simulation methods using a spatial analysis of points

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Analysis of simple hardware efficiency for temperature measurement in agriculture and environment

This work focuses basically on the design and analysis of simple and low cost hardware systems efficiency for temperature measurement in agricultural area. The main objective is to prove quantitatively, through statistical data analysis, to what extent a simple hardware designed with inexpensive components can be used safely in the indoor temperature measurement in farm buildings, such as greenhouses, warehouse or silos. To verify the of simple hardware efficiency, its data were compared with data from measurements with a high performance LabVIEW platform. This work proved that a simple hardware based on a microcontroller and the LM35 sensor can perform well. It presented a good accuracy but a relatively low precision that can be improved when performed some consecutive signal sampling and then used its average value. Although there are many papers that explain these components, this work has the distinction of presenting a data analysis in numerical form and using high performance systems to ensure critical data comparison.

A geometria presente em alguns livros didáticos dos anos finais do ensino fundamental

Pós-graduação em Educação Matemática - IGCE

Trends in aortic aneurysm- and dissection-related mortality in the state of Sao Paulo, Brazil, 1985-2009: multiple-cause-of-death analysis

Background: Aortic aneurysm and dissection are important causes of death in older people. Ruptured aneurysms show catastrophic fatality rates reaching near 80%. Few population-based mortality studies have been published in the world and none in Brazil. The objective of the present study was to use multiple-cause-of-death methodology in the analysis of mortality trends related to aortic aneurysm and dissection in the state of Sao Paulo, between 1985 and 2009. Methods: We analyzed mortality data from the Sao Paulo State Data Analysis System, selecting all death certificates on which aortic aneurysm and dissection were listed as a cause-of-death. The variables sex, age, season of the year, and underlying, associated or total mentions of causes of death were studied using standardized mortality rates, proportions and historical trends. Statistical analyses were performed by chi-square goodness-of-fit and H Kruskal-Wallis tests, and variance analysis. The joinpoint regression model was used to evaluate changes in age-standardized rates trends. A p value less than 0.05 was regarded as significant. Results: Over a 25-year period, there were 42,615 deaths related to aortic aneurysm and dissection, of which 36,088 (84.7%) were identified as underlying cause and 6,527 (15.3%) as an associated cause-of-death. Dissection and ruptured aneurysms were considered as an underlying cause of death in 93% of the deaths. For the entire period, a significant increased trend of age-standardized death rates was observed in men and women, while certain non-significant decreases occurred from 1996/2004 until 2009. Abdominal aortic aneurysms and aortic dissections prevailed among men and aortic dissections and aortic aneurysms of unspecified site among women. In 1985 and 2009 death rates ratios of men to women were respectively 2.86 and 2.19, corresponding to a difference decrease between rates of 23.4%. For aortic dissection, ruptured and non-ruptured aneurysms, the overall mean ages at death were, respectively, 63.2, 68.4 and 71.6 years; while, as the underlying cause, the main associated causes of death were as follows: hemorrhages (in 43.8%/40.5%/13.9%); hypertensive diseases (in 49.2%/22.43%/24.5%) and atherosclerosis (in 14.8%/25.5%/15.3%); and, as associated causes, their principal overall underlying causes of death were diseases of the circulatory (55.7%), and respiratory (13.8%) systems and neoplasms (7.8%). A significant seasonal variation, with highest frequency in winter, occurred in deaths identified as underlying cause for aortic dissection, ruptured and non-ruptured aneurysms. Conclusions: This study introduces the methodology of multiple-causes-of-death to enhance epidemiologic knowledge of aortic aneurysm and dissection in Sao Paulo, Brazil. The results presented confer light to the importance of mortality statistics and the need for epidemiologic studies to understand unique trends in our own population.

A log-linear regression model for the beta-Birnbaum-Saunders distribution with censored data

The beta-Birnbaum-Saunders (Cordeiro and Lemonte, 2011) and Birnbaum-Saunders (Birnbaum and Saunders, 1969a) distributions have been used quite effectively to model failure times for materials subject to fatigue and lifetime data. We define the log-beta-Birnbaum-Saunders distribution by the logarithm of the beta-Birnbaum-Saunders distribution. Explicit expressions for its generating function and moments are derived. We propose a new log-beta-Birnbaum-Saunders regression model that can be applied to censored data and be used more effectively in survival analysis. We obtain the maximum likelihood estimates of the model parameters for censored data and investigate influence diagnostics. The new location-scale regression model is modified for the possibility that long-term survivors may be presented in the data. Its usefulness is illustrated by means of two real data sets. (C) 2011 Elsevier B.V. All rights reserved.

A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels: An Application to Escherichia coli Bacterium Data

A common interest in gene expression data analysis is to identify from a large pool of candidate genes the genes that present significant changes in expression levels between a treatment and a control biological condition. Usually, it is done using a statistic value and a cutoff value that are used to separate the genes differentially and nondifferentially expressed. In this paper, we propose a Bayesian approach to identify genes differentially expressed calculating sequentially credibility intervals from predictive densities which are constructed using the sampled mean treatment effect from all genes in study excluding the treatment effect of genes previously identified with statistical evidence for difference. We compare our Bayesian approach with the standard ones based on the use of the t-test and modified t-tests via a simulation study, using small sample sizes which are common in gene expression data analysis. Results obtained report evidence that the proposed approach performs better than standard ones, especially for cases with mean differences and increases in treatment variance in relation to control variance. We also apply the methodologies to a well-known publicly available data set on Escherichia coli bacterium.

Gaussian deconvolution: a useful method for a form-free modeling of scattering data from mono- and multilayered planar systems

A new method for analysis of scattering data from lamellar bilayer systems is presented. The method employs a form-free description of the cross-section structure of the bilayer and the fit is performed directly to the scattering data, introducing also a structure factor when required. The cross-section structure (electron density profile in the case of X-ray scattering) is described by a set of Gaussian functions and the technique is termed Gaussian deconvolution. The coefficients of the Gaussians are optimized using a constrained least-squares routine that induces smoothness of the electron density profile. The optimization is coupled with the point-of-inflection method for determining the optimal weight of the smoothness. With the new approach, it is possible to optimize simultaneously the form factor, structure factor and several other parameters in the model. The applicability of this method is demonstrated by using it in a study of a multilamellar system composed of lecithin bilayers, where the form factor and structure factor are obtained simultaneously, and the obtained results provided new insight into this very well known system.