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The two primary goals that Taguchi's method achieves are: establishing optimal parameters for a product or process, and identifying the most influential factor by checking the contribution of each design parameter (Taguchi 1987).
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Our method achieves 0.736, which is better than EEVLAD and CEVLAD.
As shown in Table 4, the sensitivity of our method achieves 0.44 which is the same as the Pep-3D-Search and the highest among the 4 methods.
As simple as it is, such method achieves pretty good performance [54, 55].
The method application is achieved on an academic example.
In the curvelet shrinkage method, denoising is achieved by hard-thresholding of the curvelet coefficients.
Also, suppression of sudden energy ripples is possible with this method, which is achieved by smoothing in some studies [27].
Moreover, we will also see that an equivalent result to the HOT method could be achieved by setting proper factors.
Furthermore, the critique of reason is not a method, but is achieved by "culture" in the Nietzschean sense: training, discipline, inventiveness, and a certain cruelty (see Nietzsche 1887).
Therefore, mutual agreement on the delineation method should be achieved between the observers.
An implementation of this method may be achieved easily with Tophat, SAMtools (Li et al., 2009) and some simple scripts.
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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