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Classification may be according to the species of plant affected.
In some benchmark studies, a binary classification may be insufficient for capturing complexity.
This classification may be useful when cancer therapies aimed at the Warburg effect are designed.
The classification may be applicable to relict non-glacial surfaces in other formerly glaciated landscapes.
Conceptual classification may be contrasted with another type of classification behaviour called discrimination learning.
Psychiatry is often criticized for making such changes, and to be sure, the basis for some additions to the diagnostic classification may be open to question.
This raises the concern that area classification may be influenced in order to accommodate Ex "n" apparatus.
Apart from distinguishing the different nanoforms, such classification may be particularly useful for relating MWNT or nanofiber performance within various applications to their nanostructure.
While such a classification may be derived from various imaging methods, a shortcoming is often the simultaneous characterisation of the connectivity between regions representing different micro-structure.
When studying the effects of drug exposure in diseases with a long asymptomatic clinical course, exposure classification may be biased by the gradually developing "visibility" of the disease.
This non-invasive model for ploidy classification may be used to avoid selecting embryos with high risk of aneuploidy while selecting those with reduced risk.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com