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10,000 simulations were conducted for daily contact rates by source, as this number of simulations was determined to be sufficient to achieve stable results.
The fraction of negative studies out of these simulations was determined.
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The parameters used in the numerical simulations were determined from conventional triaxial compression tests.
Uncertainty from both measurements and simulations are determined by Monte Carlo experiments and evaluated by Bootstrap methods.
With this algorithm, the reasonable values of the random walk radius and the number of simulations are determined.
As discussed above, the coiled-coil complexes in the polarisable simulations were determined to be more stable with capping than without it.
The DEM parameters required to run the simulations were determined from angle of repose and penetration tests, matching the simulation results to test results using a modelled spherical particle with radii of 10 mm.
The input material properties for the RUC simulations were determined from the concentric cylinder model (CCM) in conjunction with the geometry of the textile architecture, mechanical properties of pure epoxy samples and fiber mechanical properties.
This paper aims to resolve this disconnect by employing an "inverse solution" approach, wherein appropriate simplified residual stresses and geometric imperfections to model in test simulations are determined based on correlation with experimental data.
The activity of each species in discrete logic-based network simulations is determined by its input node states at some previous time step.
Wavelength-dependent conversion factors between the experimentally measured spectra and the absolute reflectance calculated by MC simulations were determined by using the calibration phantom.
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CEO of Professional Science Editing for Scientists @ prosciediting.com