Sentence examples for are identifiable for from inspiring English sources

The phrase "are identifiable for" is correct and usable in written English.
It can be used when discussing characteristics or features that can be recognized or distinguished for a particular purpose or context.
Example: "The symptoms of the disease are identifiable for early diagnosis and treatment."
Alternatives: "can be recognized for" or "are distinguishable for".

Exact(2)

Wang et al. (1996) discuss that such models are identifiable for full rank design matrices.

Despite the parameter dependencies, the posterior distributions of the ICRP and HMGU model are identifiable for all 16 investigations, this is, the investigation specific maximum a posteriori estimates are well defined and inferable (cf. Additional file 1 section 4.3).

Similar(58)

We find that the progenitor mass density profile and supernova dynamics during the dynamical explosion stage should be identifiable for a supernova throughout most of the Galaxy in all the facilities studied and that detection by any one of them, but in particular more than one in concert, will speak volumes about the internal dynamics of supernovae.

According to these figure six distinct groups were identifiable for all berries.

Thus, the shape of materials on the floor is identifiable; for example, submerged trees (yellow arrows) have long shadows.

If this is the case the model is said to be identifiable for the given data.

Five devices had less than four full days data; there was no specific reasons were identifiable for this.

Transport velocities of individual anterogradely transported vesicles were calculated if they were identifiable for at least six frames in a series.

A relevant foreign travel history was reported for 110 (22.4%) of 492 patients; destinations were identifiable for 105, including 36 countries from across Asia, Europe, South America, and Africa.

Complex and simple spike clusters were identifiable for all Purkinje cells by plotting combinations of these spike properties against each other.

If a mathematical model turns out not to be identifiable for the accessible experimental data, we may attempt to replace it by a simplified one.

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