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Both optimal input and estimated model parameter are therefore obtained on line.

Using stochastic collocation, the subfilter mixture fraction dissipation rate model form error as well as the uncertainty in a model parameter are propagated through LES calculations of the Sandia D Flame utilizing the steady flamelet model.

Using 900 samples generated in each milling cycle, the estimated model parameter are adopted for RUL assessment.

Tumor dynamics of cell subpopulations for different KDcyto values, and TS profiles simulated by one-at-a-time variation of any other model parameter, are reported in Supplementary Figures S2 and S3, respectively.

Simulations show that the fit method can indeed robustly discriminate between the effects of different model parameters on the shape of the sucrose response, that is, changes in one model parameter are reliably detected with the other model parameters being invariant.

The model parameter being linked may be set to an arbitrary arithmetic expression that includes the other model parameter.

Model parameters are calibrated using physiological data.

Model parameters are set to values used in Fig. 8A.

Importantly, estimates for most model parameters are available in the literature.

Mean jack-knife estimates of the model parameters are given in Supplementary Table 5.

Model parameters are cast as simple allometric functions of host body size.