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The observations appearing for the first time in the sample are attached a p = 1 (a trivial interpretation is that sample units appearing for the first time in the sample are certain to be in their respective waves).
A trivial interpretation of the results, therefore, would be that because the candidates have a fly-like k-mer profile, they drive fly-like reporter gene expression without being true regulatory elements in their native species.
Our results also argue against the more trivial interpretation that VMHdm/c serves exclusively as a permissive, sensory relay for predator-derived cues (Papes et al., 2010)—in essence, an 'internal nose' a possibility that could not be excluded from earlier loss-of-function studies (Silva et al., 2013).
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Unfortunately, nobody seems to be able to define embodiment in a way that would prevent it from also covering its trivial interpretations such as mere situatedness in complex environments.
These properties rule out two trivial interpretations of our data.
We shall show, however, later in this paper that O S allows a non-trivial interpretation as the surface measure w.r.t. a well defined, non-Euclidean, metric geometry.
In contrast to the non-trivial interpretation that follows, a trivial reading would be a definition of evidence-based ethics that amounts to simply taking empirical information into account in ethical decision-making without specifying this any further (see above).
This fact implies that the generation process is cumulative and becomes saturated at a certain point, thus yielding consistent non-trivial interpretations for truth and membership.
It does not, however, enable trivial machine interpretation of the spectrum since it is not valid CML and tools do not exist for its easy manipulation.
We called this framework the "data chain," illustrating the main characteristics of data startups and the fact that data companies can be involved both in a physical layer (storage and processing) and a digital layer (non-trivial data collection, interpretation and actionable data production).
But the old interpretation seemed trivial, hardly worth Archimedes' time.
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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