The results in [ 18] have been obtained for simulated data.
The spatial distribution of pore spaces and their connections were identified based on the 3D geometry, and an equivalent pore network of the GDE was obtained for simulating the PA transport with an invasion percolation algorithm.
Satisfactory results were obtained for simulated voltammograms disrupted by noises or other superimposed undesired signals.
The ΔAIC value between null model and alternative model was obtained for each simulated tree.
In addition, the improvement is obtained for both simulated and real data.
When analysing the performance of automated activity quantification, one can see that, similar to the image registration procedure, lower relative errors were obtained for the simulated sample except for the bladder, where the results reflect poor image registration.
Two estimated power transformation parameters were obtained for each simulated data set: the first with the 3 × 4 factorial effect included as predictor variables in the transformation model (λ 1 ), representing the Box-Cox transformation by definition; and the other just a power transformation of the response variable (λ 0 ), representing an approximation one might see in practice.
However, once the compensation algorithm is activated, an improvement of this KPI is obtained for all the simulated levels of degradation.
In addition, different correction results were obtained for real and simulated data.
First, the molecule numbers for time point 0 were obtained from simulating steady state levels of PSDdark and PSDlit in darkness for each variant.
Therefore among the 200 simulated pseudodatasets (100 simulated under M1 and 100 simulated under M2), we counted the number of times where the highest ψξ was obtained for the correct simulated model (M1 or M2 depending on the pseudodataset used).
