Estimaciones de mortalidad materna a partir del método de sobrevivencia de hermanas: experiencias en America Latina = Estimating maternal mortality using the sisterhood method: experience in Latin America

Incluye Bibliografía

Estimação da contribuição de múltiplas fontes harmônicas utilizando regressão não paramétrica

Este trabalho apresenta uma nova metodologia para estimar a contribuição harmônica de múltiplas cargas geradoras de harmônicos na distorção de tensão de um sistema elétrico. Essa metodologia cria modelos estatísticos que descrevem o comportamento da tensão harmônica de um sistema elétrico qualquer em função da corrente harmônica das cargas presentes nele, de tal forma, que seja possível avaliar o impacto das cargas geradoras de harmônicos nos níveis de distorção harmônica de tensão do sistema elétrico em análise. A criação desses modelos é realizada com base no método estatístico chamado de regressão polinomial local de kernel, que é um método de regressão não paramétrica, cuja característica principal é criar modelos não condicionados a uma família específica de curvas de regressão, ou seja, os dados são os únicos responsáveis pelo formato do modelo. Uma vez criado o modelo, estima-se a tensão harmônica que as cargas provocaram no período em análise e, por fim, avalia-se seu valor em relação à medida.

Estimating cyclopoid copepod species richness and geographical distribution (Crustacea) across a large hydrographical basin: comparing between samples from water column (plankton) and macrophyte stands

Species richness and geographical distribution of Cyclopoida freshwater copepods were analyzed along the La Plata River basin. Ninety-six samples were taken from 24 sampling sites, twelve sites for zooplankton in open waters and twelve sites for zooplankton within macrophyte stands, including reservoirs and lotic stretches. There were, on average, three species per sample in the plankton compared to five per sample in macrophytes. Six species were exclusive to the plankton, 10 to macrophyte stands, and 17 were common to both. Only one species was found in similar proportions in plankton and macrophytes, while five species were widely found in plankton, and thirteen in macrophytes. The distinction between species from open water zooplankton and macrophytes was supported by nonmetric multidimensional analysis. There was no distinct pattern of endemicity within the basin, and double sampling contributes to this result. This lack of sub-regional faunal differentiation is in accordance with other studies that have shown that cyclopoids generally have wide geographical distribution in the Neotropics and that some species there are cosmopolitan. This contrasts with other freshwater copepods such as Calanoida and some Harpacticoida. We conclude that sampling plankton and macrophytes together provided a more accurate estimate of the richness and geographical distribution of these organisms than sampling in either one of those zones alone.

Empirical models for estimating the suspended sediment concentration in Amazonian white water rivers using Landsat 5/TM

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Seasonal variability of a conditional stability constant and the characterization of sedimentary humic substances from typical agricultural and urban areas

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

Performance Analysis of MODIS 500-m Spatial Resolution Products for Estimating Chlorophyll-a Concentrations in Oligo-to Meso-Trophic Waters Case Study: Itumbiara Reservoir, Brazil

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

Modelagem e quantificação da incerteza espacial do potássio disponível no solo por simulações estocásticas

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

Estimating the average length of hospitalization due to pneumonia: a fuzzy approach

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

Estimating outcomes in newborn infants using fuzzy logic

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

Simple agrometeorological models for estimating Guineagrass yield in Southeast Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimating the concentration of gold nanoparticles incorporated on natural rubber membranes using multi-level starlet optimal segmentation

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

Sound absorption coefficient in situ: An alternative for estimating soil loss factors

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Improvements in the score matrix calculation method using parallel score estimating algorithm

The increasing amount of sequences stored in genomic databases has become unfeasible to the sequential analysis. Then, the parallel computing brought its power to the Bioinformatics through parallel algorithms to align and analyze the sequences, providing improvements mainly in the running time of these algorithms. In many situations, the parallel strategy contributes to reducing the computational complexity of the big problems. This work shows some results obtained by an implementation of a parallel score estimating technique for the score matrix calculation stage, which is the first stage of a progressive multiple sequence alignment. The performance and quality of the parallel score estimating are compared with the results of a dynamic programming approach also implemented in parallel. This comparison shows a significant reduction of running time. Moreover, the quality of the final alignment, using the new strategy, is analyzed and compared with the quality of the approach with dynamic programming.