For simplicity, we employed a short-hand notation α≡qρ for the arguments of the relevant functions in the dielectric exterior.
Data mining of the gene set for the potential relevant functions and correlating diseases revealed major associations of AQP4 to cancer and respiratory disease, as well as links to biological processes like cell cycle regulation, lipid metabolism, cellular movement and cell-to-cell signalling (Table 3).
Next, substituting for the relevant force functions in Eqs.
These results give some indication of the limitation of BLAST comparison as a tool for inferring the relevant biological function of tentative unique genes assembled from sequencing data for species with very limited existing transcriptomic information.
The purpose was to evaluate whether the binder had a relevant function for the coating, since it was known that the binder molecules could hinder the conductivity of the PEDOT PSS.
Although we did not observe any genetic associations meeting genome-wide significance, we identified a few loci that demonstrated both the suggestive P-values and the biologically relevant functions for dental caries.
Remark 1.2 A function f ( l ) is ( V, W ) -convex on ( 0, + ∞ ) if and only if W − 1 ( l ) f ( l ) is a convex function of W − 1 ( l ) V ( l ) on ( 0, + ∞ ) or, equivalently, if and only if V − 1 ( l ) f ( l ) is a convex function of V − 1 ( l ) W ( l ) on ( 0, + ∞ ) ; refer to Dinghas [16] for the relevant properties of a convex function with respect to an ODE.
Various stochastic material representations are considered through the use of probability density functions for the relevant material parameters, and the effects of the various representations on the continuum-scale response are investigated.
We therefore recommend that applied investigators wanting to use a GMM or SMM approach should plot the relevant estimating function for a large range of values of the parameter of interest to check if there is a unique solution to the estimating equations.
While not explicitly biased by asymmetries in the stimulus, RFs estimated using gradient descent methods will, by definition, be most successful in minimizing or maximizing the relevant cost function for predicted responses to those stimuli that occur most frequently.
