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Research Design and Methods: Using this approach, we were able to induce variable insulin receptor (IR) deficiency in a tissue-specific manner (liver mosaicism).
It is based on the finite-difference predictor corrector scheme and is faster than other methods using this kind of scheme.
We optimize the strong H-infinity norm of the closed-loop system based on non-smooth, non-convex optimization methods using this algorithm and the computation of the gradient of the strong H-infinity norm with respect to the controller parameters.
To establish a general correction model for DFT methods and to show the flexibility of the model, we explored various DFT methods using this correction.
An alternative is to create a computational or numerical model of the parallel simulator that factors in known dependencies (both deterministic and probabilistic) and then evaluate the proposed methods using this computational or numerical testbed.
Topic segmentation methods using this principle are based on an analysis of the distribution of words within the text: a topic change is detected when the vocabulary changes significantly [24, 25].
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A typical method using this assumption is ridge regression best linear unbiased prediction (RRBLUP) [1], [12].
We apply now our method using this data and the randomly generated coordinates.
We fully validated the method using this artificial matrix.
The metabolic profiling method using this kit was described previously.
"It's unfortunate that the methods used on this occasion have led to a negative recommendation".
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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