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The kinetics may be modeled with variable dissolution rates from initial high values to final low ones.
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The atria and ventricles are modeled with variable capacitors to account for the time-dependent relationship of pressure with volume and also viscous losses.
They are the reason for the choice of the binary distance variables x, as these constraints cannot be modeled with integer variables directly taking the distance values (i.e., d uv ).
The past geodynamo was modeled with a variable aspect ratio based on thermal history modeling (Olson et al. 2013).
In model 4, the IMR was modeled with health infrastructure variables.
The parameter α monitors the initiation and the growth of the cracks, and is modeled with independent random variables (at each site of crack initiation).
The coefficients α, β and γ are modeled with fully correlated random variables.
This huge, random variable is modeled with a Gaussian mixture model.
Dependent variables were modeled with a fixed time effect (uniformly set to 1).
Five of the secondary outcome variables were modeled with RMANCOVA-models (excluding veterinary assessment score).
In both problems the adhesion of the contact surfaces is taken into account and is modelled with a surface variable, the bonding field.
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