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Discover LudwigThe phrase "assumption states" is correct and usable in written English.
It can be used in contexts where you are discussing the conditions or premises that are taken for granted in a particular argument or theory.
Example: "In this study, the assumption states that all participants have a similar level of experience with the subject matter."
Alternatives: "premise indicates" or "hypothesis suggests".
Exact(21)
The functional localization assumption states that units or subunits within an information processing system become functionally specialized for dealing with specific aspects of the input environment.
A second assumption states that the total human personality is best understood in terms of the constant interplay of forces that continually emanate from inside (as internal physiological activity) and from outside the individual (as sensory stimuli).
One assumption states that life experiences influence the brain in such a way as to leave, in the brain, enduring physical changes that have variously been called neural traces, templates, or engrams.
The assumption states that the (conditional) mutual information between a pair of variables is a monotonic function of the set of active paths between those variables; the more active paths between the variables the higher the mutual information.
Another assumption states "Compensation scale: Dep./asset 100/25 standard H".
The CRS assumption states that a given and proportionate increase in all inputs in the long run will result in an increase in outputs in the same proportion.
Similar(39)
In [25], the basic assumption state that the residual energy of nodes follow a random distribution.
In the present model, for simplicity, we adopted the assumption stated in Eq. (9).
In a more sophisticated approach we apply pixelwise-planar depth assumption, stating of planarity of depth inside some neighborhood of processing pixel.
This means that the assumption stated in Premise 3 may be wrong for an important proportion of health care workers.
Here, we made the MCAR assumption stating that no factor (in particular, not the phenotypes of interest) influenced missingness at the marker data (Rubin and Little 2002; Sterne et al. 2009).
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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