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We found that this assumption was not valid for a minority of contrasts (Additional File 1).
However, testing proved this assumption was not valid, thus highlighting the importance of evaluating any assumptions of similarity imposed across studies.
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We contend that this assumption is not valid.
Subsequent research has shown that this assumption is not valid.
However, this assumption is not valid in the presence of loss of communication or data.
This assumption is not valid anymore for very flexible blade design because such blades often experience large deflections.
However, this assumption is not valid for those images with serious intensity inhomogeneity, which inevitably leads to poor segmentation performance of existing models.
For a fluid where this assumption is not valid, a separate derivation, whose assumptions are more restrictive, is presented in the appendix.
However, when the rotor has abrupt changes in the diameter, this assumption is not valid; local distortion occurs near the section change, resulting in an increase in the overall bending flexibility of the shaft.
This assumption is not valid for strongly nonlinear problems, such as turbulence, where nonlinear interactions rapidly redistribute energy resulting in the appearance of a broad continuous spectrum of amplitudes.
In Gaussian channels, however, this assumption is not valid.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com