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So far, simple and basic solutions at almost all layers have been devised for vehicular communications.
Thus far, simple classifiers, such as linear discriminants [3] and K-nearest neighbor classifier [4], and complex classifiers, including chaotic modeling, spectral coherence analysis, artificial neural networks, and support vector machine, have been extensively applied.
You'd be surprised how far simple humanity can get you in business.
So far, simple RNA binding motifs which could explain RNA-binding patterns of EWS and FUS have not been identified, but a preference for GU-rich motifs and short-stem loops was proposed to facilitate binding [ 25].
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