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In this study, we optimized experimental conditions for minimizing elemental fractionation using a UV 213 nm LA-ICP-MS and obtained improved results compared to previous reports using the longer wavelength lasers.
However, if their use is restricted to hips where there is a reasonable chance of improved results compared to what would be obtained using standard stems, the higher costs would be justified.
The use of WPT with the multi-windows shaping algorithm (methods WPT/med and WPT/mean) improves results compared to (i) using just the multi-windows shaping algorithm (method MultiWind) and (ii) using DWT with the multi-windows shaping algorithm (methods DWT/med and DWT/mean).
Phase III studies appear warranted to determine if these newer regimens provide improved results compared with currently used regimens.
Values for mu of 0.12 cm-1 used in attenuation compensation of Tc-99m single-photon emission computed tomography scans of uniform cylindrical sources have been shown to give improved results compared with use of mu = 0.15 cm-1.
As a benchmark, previous work has shown that this type of algorithm specifically designed for extracting tidal networks from LiDAR data is able to achieve substantially improved results compared with those obtained using standard algorithms for drainage network extraction from Digital Terrain Models.
The results show that using clinical codes alone, or together with clinical measurements, leads to significantly improved predictive performance compared to using only clinical measurements.
Our experimental results showed that both social behavior and relationship attributes improved the performance of identity resolution as compared to using personal identity attributes alone.
The experimental results indicate that using graphite-impregnated grinding wheels considerably improves the grinding process performance compared to using a conventional grinding wheel.
The results show that estimating the VaR from multivariate GARCH models improves the results of the forecasted optimal portfolio allocation, compared to using a univariate model.
Mapping results were improved in a combined SAR-optical classification, with an overall accuracy of 79.6% compared to using SAR data alone (48.3%).
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