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Although it is useful to classify relaxation processes as chemical or molecular, the distinction between them depends on the height of the energy barrier separating the chemical species, and it becomes blurred when structural isomerizations are considered.
Since the individual difference is expressed as difference of the correlation among variables, it is useful to classify samples into multiple clusters according to the correlation in order to adopt a multi-model approach.
Clinically, it is useful to classify children as diazoxide responsive and diazoxide unresponsive.
In order to consider what is distinctive, as well as what is common, about the implementation of collaborative governance in HIECs, it is useful to classify all of the cross-sector health partnerships mentioned above in the same way.
In an attempt to explain the biological effects of SMFs, it is useful to classify them as weak (<1 mT), moderate (1 mT to 1 T), strong (1 5 T), and ultrastrong (>5 T).
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This information is useful to classify and demodulate signals.
The general framework described here is useful to classify autoencoders and identify general properties that ought to be investigated for each class, illuminating some of the connections between autoencoders, unsupervised learning, clustering, Hebbian learning, and information theory.
A very simple assessment is useful to classify the patients with FN according to the risk of complications.
The EpiSkin model mimics morphologically and biochemically the living skin and is useful to classify skin irritants which can cause decrease in cell viability, evaluated by an MTT assay [ 42].
These comparisons suggest that it may be useful to classify mutations according to their selection pressure values in treated vs. untreated patient populations.
Thus, it would potentially be useful to classify melanoma that has already metastasised into categories that more accurately predict patient survival.
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