The small differences between these measures for all our three models verify that they can be used reliably for interpretations.
The fact that there is no clinical (Fig. 9) or functional (Fig. 6) difference between the two ROR models verifies that the four genes do not add prognostic accuracy to the predicted risk of recurrence.
These two models verified that the membrane surface area is the most significant design factor with respect to the KLa.
Once gene-gene models were verified by five or more databases, pairwise SNP-SNP combinations of all loci within each gene-gene model were created (Fig. 1C) and output for regression using PLATO software [Grady et al., 2010].
The model is verified against two earlier experimental programs at the member-level and subassembly-level.
The effectiveness of HDNN as the regression model is verified on two tasks, namely speech enhancement and Chinese handwriting recognition.
The model was verified using two methods, which were bloom pinshooting and surface strand temperature measuring experiments.
Different aspects of the model were verified for two sheet metals, namely DP600 steel and AA6022 aluminum alloy.
The presented model is verified using two different experimental observations, and a precise mathematical expression of the stress evolution processes induced by different mining layouts is presented to perform the coupled analyses using the presented model.
The validity of the present one-dimensional model is verified on two pre-stressed simply supported beams previously experimentally and computationally studied in literature (Rabczuk and Eibl, 2004 [2]; Rabczuk et al., 2005 [18]; Rabczuk and Belytschko, 2006 [2006.
