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In this section, we aim to simulate the peak frequency and peak amplitude of the observed MHVRs by theoretical MHVRs obtained from analytical solution based on the diffuse field assumption (Sánchez-Sesma et al. 2008, 2011).
Secondly, we aim to simulate adaptation of RT planning during the treatment course in order to personalise RT delivery in response to individual lung injury.
Assuming the modularity of biological parts [ 8, 9], that is, the module parameters do not change when different units are interconnected, we aim to simulate experimental studies to evaluate the contribution of noise on the population-averaged network output.
We aim to simulate the clinical reality of the consultation room as best as possible by first establishing diagnostic accuracy for a simple memory test as can be easily applied in daily practice.
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In a computer simulation, we aimed to simulate a model of value management in which multiple value components of the brainstem are controlled for an action search.
The reason for this is that we aimed to simulate a true use case and not cherry pick good or bad predictions.
Furthermore, we aimed to simulate the small-scale absorbed dose distribution and investigate to what extent found non-uniformities would be homogenised by cross-dose (cross-fire) effects [46].
First, we aimed to simulate clinically relevant ventilator settings.
We aimed to simulate high (sunny) and low (overcast) radiant heat conditions, both of which occur in the natural habitats of G. sibiricus.
As we aimed to simulate a highly clustered outbreak, a minimum buffer width for disease transmission of 5 km and a maximum buffer width of 10 km were used.
Accordingly, we developed a variation of the AAT, the Face-Turn AAT, in which we aimed to simulate a situation in which the participants took the initiative to make contact with the model on the screen by pulling the joystick (approach), or to avoid such contact by pushing the joystick (avoidance).
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