High fidelity simulation (HFS), which is based on multi-physics models, allows one to examine the interactions that occur in a mill amongst media, particles, wear parts and slurry at the microscale level.
A simple thermodynamic model allows one to predict αHD and peq on the basis of (1) the isotopic exchange equilibrium constants, (2) the plateau pressures of the pure isotopes, and (3) the composition.
Therefore, the model allows one of two immunization strategies based on risk level: (a) immunizing the entire population (i.e., universal vaccination) or (b) targeting at-risk individuals.
Analyzing markers together in a regression model allows one to consider the impact of markers on other markers; a weak effect may become more visible when other causal effects are already accounted for, and a false signal maybe removed by the inclusion of a stronger signal from a true causal association.
The model allows one to investigate the role of different factors on the film stability.
The model allows one to calculate precisely the headstock's indices on the basis of which its optimal operating characteristics can be determined.
Assuming the application is provided with enough knowledge on the current traffic conditions, the model allows one to assess the suitability of various transmission power configurations.
Analyzing variables together in a regression model allows one to consider the impact of one variable on another, the hope being that a weak effect may become more visible when other causal effects are already accounted for.
It has been shown that the model allows one to predict the effect of the strain rate on the cyclic lifetime and to take into account a phenomenon of void healing in the compression semi-cycle.
This model allows one to consider realistic synaptic responses and conductances depending on spikes arising in the past of the network, leading to a rather complex dynamics which has been characterized in [32] in the deterministic case (no noise in the dynamics).
