One of the strengths of the model is the ability to explore the effect of different land use scenarios.
A unique attribute of the model is its ability to calculate the standard deviations of the parameters, which provides information on the variability of coating performance.
The first test of the model is its ability to reproduce the three basic sub-classes of onset response.
An additional strength of the model is its ability to be configured quickly for probabilistic and one way sensitivity analysis.
A novel feature of the model is the ability to estimate and incorporate inbreeding information on a per sample basis allowing accurate genotyping of both inbred and heterozygous samples even when analyzed simultaneously.
The model is validated and its ability to capture the influence of ionic strength and particle size is tested successfully.
Moreover, the model is assessed for its ability to simulate published changes in experimental parameters.
The model is validated by its ability to reproduce the experimental data of the set of ligands.
The model is based on the ability to use summarised data from the EFSA Comprehensive Food Consumption Database in a probabilistic model.
It is recognized that the model is limited in its ability to monitor and control local microcirculation.
