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Therefore, in spite of the expected better interpolations provided by second-order approximations, statistical arguments show that the use of linear fits is advisable when the number of experimental points available for the determination of intrinsic viscosities is small.
The parameters of linear fits γ 2 and β 2 and the values of R 2 are shown in the figures.
It is well known that direct and indirect band gap energy for the semiconductor nanostructures can be obtained from the intersection of linear fits of versus plots for q = 1/2 and 2 on the x-axis.
The dose per voxel was calculated by integrating the dose rates for each voxel, using a hybrid trapezoidal-exponential fit consisting of linear fits between the first three time points and an exponential tail obtained by fitting to the final two time points [25].
Predicted frequencies of the mutations in diluted samples were very consistent, with R squared values of linear fits to each dilution series ranging from 0.991 to 0.999.
(B ) Statistical significance of linear fits.
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To evaluate different models, we calculated the adequacies (r2, see Methods) of linear fitting (PNI and RMSD) versus bilinear fitting, bilinear fitting versus paraboloid fitting and bilinear fitting versus cubic spline function fitting, respectively.
The goodness of linear fit (R2) and slope over 3 speeds were used as outcome measures.
Upon further investigation, the goodness of linear fit may prove to be useful in assessing prosthetic design, optimizing prosthetic fit, and predicting clinical outcomes.
Many approaches for computing binding affinities can be classified as linear interaction energy (LIE) models as they rely on some type of linear fit of computed interaction energies between ligand and protein.
The length of linear fit in the Patlak analysis might be adopted for different conditions.
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