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The variability between simulated epidemics becomes large, with some simulations resulting in hundreds of exported cases and many resulting in only a few exported cases (Table 2; Appendix Figure 1, panel D).
Such detail, however, requires quite a lot of computational efforts and time-consuming simulations, resulting in low accessibility in real-time dynamic simulation process [4, 5, 6].
The design process was optimized by extensive energy simulations, resulting in an optimal energy balance and favorable thermal comfort conditions along the year.
In the second step, the preliminary design is refined and optimized using 3-D CFD simulations, resulting in an ultra-compact HE with elliptical fin shape.
Uncertainty quantification (UQ) for CFD-based ship design can require a large number of simulations, resulting in significant overall computational cost.
Unfortunately, this process is very computationally intense and can require a large number of individual flow field simulations resulting in very long CPU run times.
Similar(31)
For small initial cell numbers, simulations result in stochastically variable data (see Fig. 2A).
Finally, almost all simulations result in a transition to the pluripotent state (Fig. 5d).
So while only 0.3% of influenza simulations result in a >10% risk, 59.1% of measles simulations result in the same risk of transmission.
In BT474, the simulations resulted in active ERK1/2 states, resisting drug treatment (Table 1).
Similarly, in silico knockout simulations resulted in little or no perturbation of the mouse metabolic network.
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CEO of Professional Science Editing for Scientists @ prosciediting.com