I know this now, along with a lot of other technical arcana — like the importance of C.O.R. (coefficient of restitution) and backweighting — thanks to Ed Jacobs, a salesman at my local Golfsmith shop, which I visited in hopes of moving, driver-wise, into the 21st century.
Research published recently has emphasized the importance of the coefficient of thermal expansion (CTE) for characterizing concrete behavior in the field.
New results show the importance of porosity coefficient, porosity distribution, geometrical imperfection, nonlocal parameter, foundation parameters and slenderness ratio on nonlinear buckling behavior of porous nanoscale beams.
New results show the importance of porosity coefficient, porosity distribution, GPL distribution, GPL weight fraction, geometrical imperfection and foundation parameters on nonlinear buckling behavior of porous beams.
The minor importance of these coefficients can be attributed to the fact that these coefficients will be multiplied by the absolute electro-osmotic permeability parameter, which is on the order of 10−9 m2/(V s).
More importantly, the relative importance of the coefficients is very similar in model 6 as compared to model 1.
To show the fundamental importance of weighting coefficients of fractional-order derivatives in the last section, we apply it for solving fractional-order Riccati differential equations.
However, the statistical importance of individual coefficients evaluated by the t statistic is not significant for all cold categories excepting for some cold categories.
It noted that the increasing importance of selection coefficients for the rate of the ratchet for increasing values of the total number of individuals.
To increase the capability of the elastic net, i.e., to decrease the number of false positives while keeping the high number of true positives in inferring gene networks based on VAR model, we propose a new class of regularization, called recursive elastic net, by incorporating relative importance of the coefficients.
