The following section verifies these methods by comparison of numerical results.
We also employ numerical examples to evaluate the accuracy of the proposed methods by comparison with other existing methods.
Given these many challenges, and the complexity of enzymes, validation of modelling methods by comparison with experiment will be very important.
After validating the numerical models and methods by comparison to experimental data, a parameter study is performed to investigate the effect of various geometrical, flow and fluid parameters on the characteristics of drop production, in particular, drop size.
We evaluate performance of our methods by comparison to existing approaches, and show that our EM method provides the best results over a variety of simulated scenarios.
The optimized algorithm in STEPS was shown to out-perform both another SSA-based simulator, MesoRD, and particle methods by comparison to Smoldyn, with increasing benefit in larger systems and increasing simulation detail.
Custom scripts were used to identify false positive SPPs identified by each of the SFPdev and MSA methods by comparison to the IGA set, the SNPs mined from the EST assembly used to develop the array, and SPP markers mapped in the core mapping population [ 20].
Sensitivity, specificity, predictive values, likelihood ratio, odds ratio and their 95% confidence intervals, and the area under the curve (AUC) for each cut-off value of the diagnosis gold standard were calculated using standard methods by comparison with the PSG results.
The results show the effectiveness and accuracy of the proposed method by comparison with a Monte Carlo simulation.
PL quantum yields were determined using a conventional method by comparison of the integrated fluorescence intensity with that of standard dye solutions.
