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A key question is whether predictions about tumour response to therapy in larger domains can be extrapolated from simulation results on smaller domains.
We conclude that, for the elimination scenario considered here, the subdomains behave as if they are independent of one another, and that predictions about therapeutic efficacy for larger domains can be extrapolated from simulation results for smaller domains.
Motivated by these results, we perform simulations to investigate the tumour's response to therapy and show that the probability of tumour elimination in a larger domain can be extrapolated from simulation results on a smaller domain.
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Likewise, we find values of (Delta M_{2}) less than the values that are extrapolated from simulations of Type Ia supernovae, indicating that these values should be revised for the conditions of Type Ibc supernovae considered here.
How well can experimental data be extrapolated from the simulations?
A plot of sorts can be extrapolated from the arrangement of the songs.
Or should a story instead be extrapolated from an external, rational and scientifically provable truth?
Phase composition can also be extrapolated from EELS spectra.
2D kinematics can be extrapolated from fluoroscopic sequences.
The models can then be extrapolated from the laboratory to the design environment with confidence.
The simulation models developed provide a practical insight into existing and emergent food losses scenarios, suggesting the need for big data sets to allow for generalizable findings to be extrapolated from a more detailed quantitative exercise.
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