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Several numerical experiments are performed to compare the method with results obtained using a uniform grid.
This paper proposes and describes such a method with results demonstrating its validity.
Preliminary experiments on real motion confirmed the reliability of the proposed method with results in agreement with classical studies in literature.
We demonstrate the effectiveness of the method with results on both synthetic phantom and real MR datasets acquired in a clinical time-frame.
Comparisons of the response power spectral density obtained by the present method with results obtained by numerical simulations show remarkably close agreement, even for large non-linearities.
In addition, we compared the results of the proposed method with results obtained using other older well-established early fault detection methods that were chosen from 4 groups of methods which were classified by the domain of observation.
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First smaller sample problem solved by NSGA-II and resulted solutions compare by ɛ-constraint method with resulted solutions from model solving.
Simple linear regression (Least Squares method with resulting squared multiple R values) was used to test the hypothesis that a significant relation exists between numerical variables.
We used the distributional properties of the enrichment P values to compare the eQTL mapping methods, with results for the yeast data shown in Figure 4.
Bioassay-guided isolation integrates the processes of separation of compounds in a mixture, using various analytical methods, with results obtained from biological testing.
Direct statistical comparisons of progressor versus non-progressor are inappropriate because follow-up times varied across individual subjects; hence our use of time-to-event statistical methods with results reported as hazard ratios.
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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