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In 2009 Delgado et al. performed an interesting trial with the aim to evaluate the GFR burden on b2m prognostic value in a cohort of 450 subjects affected by chronic lymphocytic leukaemia; they used a multivariate analysis method displaying a significantly better prognostic value of this marker adjusting the value for the GFR [ 53].
The N-HPCC/S composites prepared by a simple melt diffusion method displayed an excellent electrochemical performance.
Our method displayed an excellent opportunity for the simple and effective production of nanopatterns on the surfaces demonstrating significant advantages in designing novel nanodevices.
The study revealed that even though the developed three models are reliable to predict the UCS, the presented ANN method displays an obvious potential for the reliable assessment of UCS according to model performance criterion.
Due to the large sample size of both assays (sample size =100) in Tables 1 and 2, the ML method displays an excellent result for estimating the CCC with respect to the relative bias and the percentage of confidence intervals that include the true value of the CCC.
In all cases, this enhanced Lagrangian method displayed a very good accuracy and computational efficiency and a sharp numerical resolution of shock waves.
The method displayed a wide linearity range and enabled LOD of 0.68 pg/mg, LOQ of 2.4 pg/mg, and precision below 8.12%.
Also, in terms of implementation speed, this method displays a clear advantage and outperforms the high performance algorithms in the ability to decrease the artifact results of image enlargement such as blurring and zigzagging.
With the final optimized method, the recoveries of the target compounds in Fructus Corni were in the range of 95.2 103% (RSD < 5.0%) and the method displayed a good linearity within the range of 0.8 200 μg mL−1 for morroniside, sweroside, loganin, cornuside and 1.2 300 μg mL−1 for 5-HMF.
The optimized method displayed a quantitative range of 375 4,500 pg/mL.
The most severely skewed standard scoring method displayed a very similar pattern of results to those of the C-GHQ.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com