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Although "detectability" can have a variety of definitions, the notion as defined here focuses on the capacity to distinguish a pattern of interest (FFCO2 emissions from a given region) amidst distracting or background patterns (e.g., natural CO2 fluxes, atmospheric transport modeling errors, and aggregation errors) above a certain threshold, given a set of observations.
Examine your chart and try to distinguish a pattern.
It will take several months of daily tracking to distinguish a pattern.
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A clue to this higher function is provided by the failure of the animals with brain lesions to distinguish a figure embedded in a larger pattern.
Moreover, it is obviously impossible to distinguish a significant pattern which is a real TF of the organism from a significant pattern which is directly or indirectly implicated in another biochemical process.
It will take several months of monitoring before you'll be able to distinguish a regular pattern.
The objective is to distinguish a unique spectral pattern in the presence of a multitude of other frequencies.
With regard to A+T content and amino acid composition, we could not distinguish a pattern that clearly delineated between canonical genes and uORFs in any glaucophyte species.
It is difficult to distinguish any pattern from available statistics except that Denmark, the FRG, the Netherlands, and the UK are the largest net importers.
It is difficult to clearly distinguish a temporal pattern of risk different from a constant in Figure 5A.
To distinguish the pattern from clustering produced simply by ranking the serotypes, a baseline distribution is shown.
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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