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The experimental data conformed well to the model description, indicating that the OTMD and the model were stable and reliable.
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The proposed model is stable, computationally efficient, and not very sensitive to parameter variations.
The whole pedestrian model was stable during CPC simulations and predicted common pedestrian injuries.
Robustness checks ensure that the model is stable across several conditions, such as time of day or weather conditions.
The results show that the receptor model is stable and that the key interactions formed with the ligand and identified experimentally are conserved.
The applied sensitivity analysis, by changing the weight of clusters, indicates that the applied model is stable and capable of being applied for zoning ecotourism sites.
Starting from the Lyapunov Theory we will demonstrate that the structure of this artificial dynamic model is stable with an exponential asymptotic convergence to the equilibrium points.
Practically speaking, propagation of the computer viruses can be controlled easily when the model is stable.
In other words, the answer to the mathematical model is stable.
Hence, the model is stable, and the results can be trusted for policy use.
To further verify this, the stability test is used to see if our model is stable in the long-run.
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