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Compensation settings were performed with a set of compensation tubes using the BD CompBead antibody-capturing particles and the compensation setup tool in the BD FACSDiva software.
The selection of the regularization and label bias parameters (Section 3.6), fine-tuning of the feature representation and other comparable detailed settings were performed by evaluation on the development set only.
The experimental settings were performed by mixture experimental design.
After this period, a series of different noninvasive ventilation settings were performed with the first aim to normalize or to maximally reduce the patient's respiratory effort, reflected by the normalization of the esophageal pressure and transdiaphragmatic pressure swings.
Fifty genetic algorithm runs with default parameter settings were performed without early termination.
Elective settings were performed in 72% and emergent in 38% of all patients.
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An experimental design of algorithm settings was performed to find the optimal computation conditions.
A systematic parametric study for various geometrical, material and load settings was performed to find out the difference between analyzed calculation approaches.
Twenty five cases selected by the L25 56) orthogonal array with different geometry settings are performed to quantify the parametric study of the injection configuration.
Finally, the optimal modification with small number of machine settings is performed based on measurement of the Doppler Laser interferometer MCV2002 following ISO 230-2 1997) standard and numerical control (NC) compensation of CGEs.
The extension of basic notions of fractional calculus to other discrete settings was performed in [24, 25], where fractional sums and differences have been introduced and studied in the framework of ((q,h -calculus,h -calculuse reduced to ordinary difference calculus and q-difference calculus via the choice (q=h=1) and (h=0), respectively.
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