462 resultados para Acurácia Posicional


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Pós-graduação em Medicina Veterinária - FMVZ

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Pós-graduação em Medicina Veterinária - FMVZ

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OBJECTIVE: to review the evolution of acute respiratory distress syndrome (ARDS) definitions and present the current definition for the syndrome. DATA SOURCE: a literature review and selection of the most relevant articles on ARDS definitions was performed using the MEDLINE®/PubMed® Resource Guide database (last ten years), in addition to including the most important articles (classic articles) that described the disease evolution. DATA SYNTHESIS: the review included the following subjects: introduction; importance of definition; description of the first diagnostic criterion and subsequently used definitions, such as acute lung injury score; definition by the American-European Consensus Conference, and its limitations; description of the definition by Delphi, and its problems; accuracy of the aforementioned definitions; description of most recent definition (the Berlin definition), and its limitations; and practical importance of the new definition. CONCLUSIONS: ARDS is a serious disease that remains an ongoing diagnostic and therapeutic challenge. The evolution of definitions used to describe the disease shows that studies are needed to validate the current definition, especially in pediatrics, where the data are very scarce.

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In the past few years several GPS (Global Position System) positioning techniques have been develope and/or improved with the goal of obtaining high accuracy and productivity in real time. The reference station network concept besides to enabling quality and reliability in positioning for scientific and civil GPS community, allows studies concerning tropospheric refraction modeling in the network region. Moreover, among the network corrections transmission methods available to users, there is the VRS (Virtual Reference Station) concept. In this method, the data of a virtual station are generated near the rover receiver (user). This provides a short baseline and the user has the possibility of using a single frequency receiver to accomplish the relative positioning. In this paper, the methodology applied to generate VRS data, using different tropospheric models is described. Thus, comparative tests were conducted in the four seasons with the NWP/INPE (Numerical Weather Prediction/National Institute for Space Research) and Hopfield tropospheric models. In order to analyse the VRS data quality, it was used the Precise Point Positioning (PPP) method, where satisfactory results were found. Mean differences between PNT/INPE and Hopfield models of 9.75% and 24.2% for the hydrostatic and wet days, respectively were obtained.

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OBJETIVO: Avaliar a viabilidade e acurácia diagnóstica da ultrassonografia pré-operatória combinada com biopsia por agulha fina (US-PAAF) e do exame clínico da axila em pacientes com câncer de mama.MÉTODOS: Neste estudo prospectivo 171 axilas de pacientes com câncer de mama foram avaliadas pelo exame clínico e ultrassonografia (US) com e sem biopsia por agulha fina (PAAF). Os linfonodos com espessura cortical maior que 2,3 mm na ultrassonografia foram considerados suspeitos e submetidos a US-PAAF.RESULTADOS: A análise de regressão logística não mostrou correlação estatisticamente significativa entre exame clínico e axilas positivas no exame patológico. Em relação à avaliação axilar com US, o risco de achados anatomopatológicos positivos aumentou 12,6 vezes, valor Kappa de Cohen foi de 0,12 para exame clínico, 0,48 para US e 0,80 para US-PAAF. A acurácia foi de 61,4% para o exame clínico, 73,1% para os US e 90,1% para US-PAAF. Análise Receiver Operating Chracteristics (ROC) mostrou que uma espessura de 2,75 mm cortical correspondeu à mais elevada sensibilidade e especificidade na predição metástase axilar (82,7 e 82,2%, respectivamente).CONCLUSÕES: A US combinada com aspiração por agulha fina é mais precisa que o exame clínico na avaliação do status axilar no pré-operatório em mulheres com câncer de mama. Aquelas que são US-PAAF positivo podem ser direcionadas para esvaziamento linfonodal axilar imediatamente, e somente aqueles que são US-PAAF negativos devem ser considerados para biópsia de linfonodo sentinela.

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The sampling scheme is essential in the investigation of the spatial variability of soil properties in Soil Science studies. The high costs of sampling schemes optimized with additional sampling points for each physical and chemical soil property, prevent their use in precision agriculture. The purpose of this study was to obtain an optimal sampling scheme for physical and chemical property sets and investigate its effect on the quality of soil sampling. Soil was sampled on a 42-ha area, with 206 geo-referenced points arranged in a regular grid spaced 50 m from each other, in a depth range of 0.00-0.20 m. In order to obtain an optimal sampling scheme for every physical and chemical property, a sample grid, a medium-scale variogram and the extended Spatial Simulated Annealing (SSA) method were used to minimize kriging variance. The optimization procedure was validated by constructing maps of relative improvement comparing the sample configuration before and after the process. A greater concentration of recommended points in specific areas (NW-SE direction) was observed, which also reflects a greater estimate variance at these locations. The addition of optimal samples, for specific regions, increased the accuracy up to 2 % for chemical and 1 % for physical properties. The use of a sample grid and medium-scale variogram, as previous information for the conception of additional sampling schemes, was very promising to determine the locations of these additional points for all physical and chemical soil properties, enhancing the accuracy of kriging estimates of the physical-chemical properties.

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Phosphorus is one of the limiting nutrients for sugarcane development in Brazilian soils. The spatial variability of this nutrient is great, defined by the properties that control its adsorption and desorption reactions. Spatial estimates to characterize this variability are based on geostatistical interpolation. However, inherent uncertainties in the procedure of these estimates are related to the variability structure of the property under study and the sample configuration of the area. Thus, the assessment of the uncertainty of estimates associated with the spatial distribution of available P (Plabile) is decisive to optimize the use of phosphate fertilizers. The purpose of this study was to evaluate the performance of sequential Gaussian simulation (sGs) and ordinary kriging (OK) in the modeling of uncertainty in available P estimates. A sampling grid with 626 points was established in a 200-ha experimental sugarcane field in Tabapuã, São Paulo State. The sGs algorithm generated 200 realizations. The sGs realizations reproduced the statistics and the distribution of the sample data. The G statistic (0.81) indicated good agreement between the values of simulated and observed fractions. The sGs realizations preserved the spatial variability of Plabile without the smoothing effect of the OK map. The accuracy in the reproduction of the variogram of the sample data obtained by the sGs realizations was on average 240 times higher than that obtained by OK. The uncertainty map, obtained by OK, showed less variation in the study area than that obtained by sGs. Thus, the evaluation of uncertainties by sGs was more informative and can be used to define and delimit specific management areas more precisely.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Since 2000 the use of the GPS navigation increases considerably. The reason for that was the deactivation of the selective availability in May 2000. However, these receivers do not register the observables, they just estimate and store them and that prevents the post-processing data. Based in this aspect some softwares were developed and are available for free. They allow recording the GPS observables, pseudorange and carrier phase. These programs are able to read in binary files and record information concerning the GPS observables and to convert binary format to a RINEX format. This study presents the GPS Garmin 12 XL evaluation using free programs. Two experiments were carried out in Presidente Prudente-SP region using the relative static survey. The processing was carried out with intervals of 30, 15, 10 and 5 minutes. The results were compared with the coordinates from a geodetic receiver and show that 98.9 % of the points, the values in relation to the planimetric accuracy were better than 0.50 m. The only baseline which the value was larger or equal to 0.50 m is the point M0001 (baseline lesser than 2 km) referred to the first experiment. In terms of precision the values did not exceeded 0.30 m.

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Data from reference stations are widely used in GNSS (Global Navigation Satellite System) positioning, and can be used in relative positioning or network-based positioning concept. Positioning accuracy will be directly influenced by errors in signals collected in these stations. In this paper, it is aimed at evaluating these data quality using temporal series of multipath index MP1 and MP2. A statistical study of temporal series with 7 years of daily observations related to 7 stations from RBMC (Rede Brasileira de Monitoramento Contínuo) was accomplished. In order to investigate trends and seasonality a linear regression model, correlograms, and Fourier periodograms were used. We also used a harmonic adjust to identify peaks on temporal series. At last, the possible causes of seasonality found in some stations were discussed. It was also possible to identify peaks in MP values of March and October months (mainly in stations located near geomagnetic equator).

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Currently, the need of reliable coordinates has been one of the main objectives of the scientific and practice community. Thus, the robustness analysis of a geodetic network, aims, at analyzing if the network is robust or not, based on the maximum undetectable errors. The network will be robust if the influence of these errors is small, otherwise it is weak, or not robust. This analysis is performed with the merger of two techniques, one which deals with the statistical analysis of reliability and the other one with the geometric strength analysis. The reliability analysis will provide the maximum error that cannot be detected by tests, after the adjustment. After finding these errors, the geometric strength analysis will determine the potential strain that the network will have, based on these errors. It is emphasized that the robustness analysis doesn't depend of the datum, reflecting only the geometry of the network and the accuracy of the observations (VANÌCEK et al., 2001). Therefore, this work aims at contributing to the scientific research on geodetic networks, checking the same, based on their geometry and observations.

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

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Pós-graduação em Ciência da Computação - IBILCE