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In disruptive coloration, the identity and location of an animal may be concealed through a coloration pattern that causes visual disruption because the pattern does not coincide with the shape and outline of the animal's body.
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But the pattern does not always hold.
The patterns did not match.
The sputtered CoO x on the stainless steel substrate indicated an amorphous nature because the diffraction pattern did not show any crystalline peaks from cobalt oxides, except the well-defined peaks from the stainless steel disc.
In other words, the reason we fail to find support for this hypothesis is not because such a pattern does not exist, but simply because such a pattern is not unlikely.
The mutational density pattern does not correspond well to the MDs because, unlike the mutation pattern, the MDs are not symmetrically located in the two replichores.
Dashed lines in Fig. 5 indicate supply shortages because the determined 'low risk' extraction pattern does not contain enough Co in the extracted ore to match global demand.
This is somehow surprising because these patterns do clearly reflect NBI in the frequency range above 100 kHz (not shown in the figure).
In reality, the rationale for the removal of expectation might be questionable: just because we expect a specific pattern does not mean our algorithms should not detect it as an aberration or an outbreak.
Just because a man splashes around color and pattern doesn't make him a dandy if the basic canvas -- the suit -- fits poorly.
Just because you've identified a powerful, persuasive pattern doesn't mean that other important patterns don't exist.
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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