The model structure developed is such that interventions are directly simulated, meaning that it is not necessary to make assumptions a priori about the downstream impacts of the intervention.
Of the 18 cost-effectiveness studies identified, four explicitly stated that they used the same model structure developed by Hornberger et al. in the first published cost-effectiveness evaluation on Onco type DX® [ 21– 232 33] 33], while a further four used a similar modeling approach [ 24– 26, 34].
In ill-defined co-creative programming activities, the learner should understand the ill-defined situation, empathize (Bjögvinsson, Ehn, & Hillgren, 2012), model, structure, develop, and refine a creative program that responds in an original, useful, and valuable way to the ill-defined task.
This system, which was designed based on PBPK model structures developed by Shuler and colleagues, requires more development, especially to move from a laboratory research device to low- to medium-throughput (Esch et al., 2011).
The system was designed based on PBPK model structures developed by Shuler and colleagues (Esch et al., 2011).
The agent based model (ABM) structure developed here provides Acknowledged SoS manager that has both ability to address the managerial issues as well as a decision making tool for SoS architecting.
In this investigation, a Bayesian Network (BN) with an expert-informed model structure was developed to predict stream vulnerability to urbanization across a range of biophysical conditions.
To improve the usefulness of these models and simplify the model structure, we developed an analytical solution to partition NPP that considers the effects of litterfall and growth rate.
A generic model structure is developed for such networks and singular perturbation arguments are used to document that the variables in the energy balance evolve over a short time horizon while the variables in the material balance may exhibit both fast and slow transients.
At the test run, after the model structure was developed, two parameters were found to have considerable influence on the model behavior, namely, time to adjust capacity and expectation formation time.
In order to handle uncertainty in kinetics and model structure, we developed the tool modelMaGe that automatically generates candidate models based on a single master model and specified modifications [8].
