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In many cases, the problem of obesity fits well into an economic model.
In some cases the problem of forcing a substrate up its concentration gradient is solved by coupling that upward movement to the downward flow of another substrate.
In most of the cases, the problem of overruns was due to poor estimations.
In most cases, the problem of image deblurring or denoising is an ill-posed one.
We consider widely used interference models and show that except a few special cases, the problem of finding a feasible path is NP-complete under the models.
In these cases, the problem of using the constructed n, k vs. n, k derived from new laboratory data may not be obvious in the mid-IR emission bands, but is very clear in the VIS-NIR.
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In any case, the problem of moral hazard can never be eliminated, only suppressed (at a cost).
In the multivariate case, the problem of optimal or near optimal interpolation is much more difficult.
In this case, the problem of smallest shift energy corresponds to the problem of finding the minimum value of β.
In this case, the problem of detecting Swerling V (SWV) targets with unknown Doppler shift is considered.
That being the case, the problem of Hume's guillotine (the "is-ought" problem) that has bedeviled ethical theorists for centuries evaporates.
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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