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For assessment of the robustness of the methodology with respect to reporting bias, we reran the generic model by excluding the host factor related to the number of primary publications in PubMed.
This case will demonstrate the current capabilities of the methodology with integrated design and control under uncertainty.
The paper describes the salient features of the methodology with special emphasis on the immersed boundary treatment for stationary and moving boundaries.
Complete overview of the methodology, with details about the properties (e.g. pertaining to its non-parametric nature, and pertaining to how it properly corrects for multiple testing) can be found in Nichols and Holmes [48].
The pilot study confirmed the feasibility of the methodology with some modifications.
AB shared the development of the methodology with PM and KK and supervised summer mortality analysis.
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The paper illustrates the application of the proposed methodology with the ID of the activated sludge process of a wastewater treatment plant (WWTP).
However, in order to test whether the nonlinearity assumption is true and to evaluate the performance of the proposed ANN methodology, in this section, we compare the performance of the proposed methodology with the ones of a linear model.
Comparing the results of the proposed methodology with those of the original FWA-NLP approach revealed that the proposed methodology has an advantage because of the mechanism of predicting patients' unknown preferences.
An analytic example is used to compare the performance of the proposed methodology with that of the locally optimal backstepping design with no closed-loop poles constraint.
The worst score was close to 0. Furthermore, we studied the performance of the presented methodology with only half of the 100 perturbations.
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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