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The estimation achieved a 94.45% degree of accuracy with associated AUC values between 0.997 and 0.955, with only two misclassified samples in the confusion matrix (specificity = 1, sensitivity = 0.909 using only the 7 genes validated by the qPCR).
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If (7) is fulfilled, the estimation achieves the desired accuracy.
This study allowed improving the estimations achieved by different models and decreasing the error attained seven- and twelve-fold for the concentration estimation of [bpy][Cl] and [bmim][Cl], respectively, from the worst to the best model.
The yellow lines show the improved estimation, achieved by the proposed method.
There were substantial changes in apparent peripheral volume of distribution (V3/F) (from 84.3 l to 254 l) and Q/F (from 15.0 l to 19.1 l/h) due to an improved estimation achieved with the extra information gathered from the once-daily dosing.
Notably, the performance of these estimations achieve the theoretical lower bounds even in spiking regimes.
The figure also shows that the SVD-based estimation achieves lower MSE than entry-based estimation.
The enhancement with this blind RT estimation achieves almost the same speech quality as by using the actual RT.
State-of-the-art methods for disparity estimation achieve good results for single stereo frames, but temporal coherence in stereo videos is often neglected.
The proposed scheme with CL estimation achieves a performance similar to that of the optimal estimation for γ=−15 dB.
The deviation properties of the estimation were achieved theoretically, which reveals that both the estimating variances of SFO and timing drift are in inverse proportion to signal-to-noise ratio and grow linearly by the number of total subcarrier.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com