For the non-linear buckling analyses, the tower members were all modelled using beam elements in order to model buckling (out-of-plane deformation).
Each subnet is modelled using Verilog, and then all subnets are implemented using Field Programmable Gate Arrays (FPGAs).
A patient's admission over time is modelled using the four states, with all patients eventually dying or being discharged, and some patients being infected.
All categorical predictors were modelled using dummy variables, while all continuous predictors were modelled using restricted quadratic splines (Greenland, 1995) based on 2 knots for the tertiles to relax linearity assumptions.
All covariates were modelled using baseline values.
In this study, survival was directly modelled using classification models to optimise prediction accuracy.
Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.
Many constraint satisfaction problems can be naturally and efficiently modelled using non-binary constraints like the "all-different" and "global cardinality" constraints.
All line-compounds were modelled using temperature dependent contributions to the total Gibbs energies.
CD4 cell count at viral set-point was modelled using linear regression models.
