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But I recently learned that this assumption is not correct.
This assumption is not correct in outdoor environments because the ambient light source is blue.
Based on their extensive clinical experience, the authors believe that this assumption is not correct and that it can negatively impact patient care, outcomes, and costs.
Unfortunately, this assumption is not correct in an epoxy/amine system where the number of OH groups and NH groups changes as the reaction advances.
"However, this assumption is not correct and results in a form of double-counting, as it ignores the fact that using land to produce plants for energy typically means that this land is not producing plants for other purposes.
However, this assumption is not correct; the recovery rates (even their signs) gradually change with time in the interseismic period and vary place by place (e.g., Thatcher 1984; Fukahata et al. 1996).
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"We show that assumption is not correct, and one app can in fact significantly impact another and result in harmful consequences for the user".
Although this simple assumption is not correct for real biological data, the calculation can be readily refined for different probabilities.
Thus, the initial assumption is not correct, i.e., (|arg p z)| < frac{betapi}{2}) for all (zin mathbb{D}).
If the linearity assumption is not correct, the final prognostic model could be misspecified.
The Poisson assumption is not correct if there is a family factor (hereditary or environmental), since this means that there is a dependency between the individuals of a family.
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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