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Exact(32)
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.
Similar(28)
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.
The obtained contradiction proves the assumption is not valid.
However, this second assumption is not valid in the strictest sense.
We know, in fact, that this 'one-cluster' assumption is not valid on most data sets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com