There are relatively few observational data sets for modelers to use, so they often depend on results from warming experiments.
Based on our simulation results, we encourage modelers to use Robin BCs instead of Dirichlet BCs on the conductive electrodes, and experimenters to prefer current-controlled stimulations to voltage-controlled stimulations, in order to better control the spatial extent of the stimulations.
Although it is common for Bayesian modelers to use an inverse gamma to specify a prior distribution on a variance component, we found this formulation to be unstable in that our results were highly sensitive to the gamma parameters.
For example, this could include those reports and other documents considered to be excellent examples of the types of information the SME's and modelers hope to use to drive their models.
In 2004, standards became looser, because industry modelers decided to use a new approach -- basically doubling the amount of radio frequency that could reach the brain of an adult and quadrupling that reaching a child's.
It is the modeler's decision to use intricate names that may help the readability of the model in terms of its biological interpretation.
Before submitting models to the Testing Center, modelers were allowed to use the JMA catalog as an input to their model development and optimization.
Researchers and modelers are able to use these tools to run an ensemble of models on a single, harmonized dataset.
Modelers who intend to use the current values should also be aware of the conceptual difference between the acute and chronic health states.
