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Each point on this plot represents a particular ωs and ωp.
Each vertical set of points in this plot represents one cluster.
For a given dataset, each point in this plot represents a particular ROI.
This plot represents the limits of the selectivity-permeability behaviour of neat polymers via the upper bound [14, 58].
The probabilities which make up this plot represents provably-correct (upper bound) estimates computed using Theorem 2 and Algorithm A2.1.
Without going into confusing detail, the horizontal axis in this plot represents various characteristic scales, whereas the vertical axis shows how likely or how unlikely it is for galaxies to appear at corresponding distances from each other.
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The whiskers on this plot represent ±1.96 × the standard error for each coefficient.
The rate constant (k) derived from this plot represented the intravenous insulin tolerance (KITT).
The floorof the plot represents k.
And the plot represents nothing.
The contour line in the plot represents a threshold.
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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