A conceptual extension model is also presented with contributions such as PLE as a Learning object and Cloud Computing integration.
Our fifth model was an extension of model 4, including individual-level covariates as a priori confounders.
Model 3 is a geoadditive model, which is an extension of Model 2 that incorporates both structured and unstructured spatial effects.
"Model 2" is an extension of Model 1, in which some parameters are unknown and estimated in modeling by optimization, while the others are fixed.
Models I through III are estimated in preference space and Model IV is an extension of Model III estimated in WTP-space.
Model 4 was an extension of Model 2 by including a spatial component.
We also note that the 16C model is extremely similar to such a model, because it was created as an extension of model 7D.
Model M3 is a geoadditive model, which is an extension of models M0, M1 and M2.
Obviously, system (1.2) is an extension of model (1.1).
Further, we introduce an extension to model combinatorial regulation by several TFs.
As an extension, the model can be easily extended to incorporate prior knowledge from multiple sources.
