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Supplementary Table S4 shows the clinical data used for virtual subject validation. 1. Parameter exploration: Variability in key model parameters was explored to generate alternate parameterizations, each of which represents a potential virtual subject.
The subsequent methodology to develop and validate virtual subjects and each virtual population comprised three key steps: 1. Parameter exploration: Variability in key model parameters was explored to generate alternate parameterizations, each of which represents a potential virtual subject.
The optimisation of processing parameters was explored.
The relationship between comfort rating and biomechanical parameters was explored.
The effect of uncertainty in model parameters was explored in deterministic and probabilistic sensitivity analyses.
A range of focused ultrasound parameters was explored, with several unique bioeffects observed: cell detachment, preservation of cell viability with no membrane penetration, cell death and preservation of cell viability with sonoporation.
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Posterior distributions of the free parameters were explored by Markov Chain Monte Carlo (MCMC) sampling applied to the likelihood of post-pandemic serological data reported in31.
The relations and restrictions among the three-point correlation parameters are explored.
These parameters are explored to avoid the resonance capture in the Sommerfeld effect.
The dependence of network structure on various architectural parameters is explored.
Different important parameters were explored using computational analysis by semi empirical method.
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