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The DEM simulations are also used to explore a wider range of parameters that have not been or are not easily explored experimentally.
When natural convection is important (Ra > 500), the oscillations occur over a wider range of parameters than is the case for a diffusive system.
In this work, we investigate drop dynamics for a wider range of parameters: viscosity ratio between droplet and medium, capillary number (Ca), droplet size, and fluid elasticity.
The main advantages of the new schemes are improved stability and accuracy which, for example, allows calculation of the ion distribution function in thermonuclear experiments for a wider range of parameters.
Here the approach is evaluated over a far wider range of parameters than has been attempted hitherto, normal stresses now ranging from 0.15 to 292 kPa, and shear strains from 0.9 to 8×104.
We study the model under healthy and Parkinsonian conditions and demonstrate that it exhibits oscillations for a much wider range of parameters in the Parkinsonian case.
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This dynamic leads to a hysteresis behaviour exhibited by the system: mode-locking persists over a wider range of parameter space when already in the stable state, but not all mode-locked states yield self-starting behaviour.
In this case, variation at equilibrium appears in a wider range of parameter values.
However, the scope of undetectable selection extends over a much wider range of parameter space than the range of nearly neutral genes.
The proportion of outliers is certainly a crude measure of adaptive divergence and a wider range of parameter values may need to be investigated to detect significant patterns.
The method is validated for a wide range of parameters.
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