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However, this method also leads to lower turbo-expander efficiency.
This method also leads to stability estimates at the boundary [192].
This method also leads to a reduced model where the external perturbation is time-averaged.
Using the kd-tree nearest neighbor search method also leads to a high computation cost and a long runtime.
Just as in the first method, this method also leads to the occurrence of the same potential in magneto-conjugated points.
The method also leads to decreased noise in the material temperature at the cost of a potential increase in the radiation temperature noise.
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This vaporization method also led to very low deposition efficiencies of around 3%%.
This extension of existing numerical methods also leads to a natural way of determining both the existence of the RSW as well as the possibility of encountering a pseudo-surface wave.
Although inferior to the results of complete rotator cuff repair, both methods also lead to significant improvements of shoulder function [15, 16, 17].
Different analysis methods also led to different p-values in some instances.
So, the need to estimate this parameter is a blocking step in the almost dependent columns method and also leads to a lack of robustness.
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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