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In particular, for large values of G0 (G0≥1.4) the epidemic peak of S models occurs systematically earlier than M and L models (with differences of about 15 to 20 days for different values of the first generation index).

We show that the printed porous media were highly reproducible and had excellent fidelity in physically reproducing computer-aided design models, with differences between designed and experimentally measured particle locations within ±0.5%, and within 1.3% in terms of bed porosity.

The goodness of fit measures did not change across models, with differences at the third decimal place.

Compartments have proven to be ubiquitous and fundamental building blocks of PK models, with differences between models often being defined by the way the compartments are connected.

Models with differences in DIC of <3 compared with the best model can not be distinguished, while those between 3 7 can be weakly differentiated [[ 24], p.613].

Models with differences in DIC of <3 compared with the best model cannot be distinguished, while those between 3 7 can be weakly differentiated.

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The velocities and quality factors at reference frequency, density and unrelaxed moduli for the ICM1 ICM4 basin models with difference IC are given in Table 2.

For G0 = 1.1, L models are spread systematically more slowly than the respective M models (with difference of about 100 days to cover 200 km).

Because the goodness-of-fit chi-square is inflated by large sample size [ 66], we also examined differences in CFI across nested models, with difference in the CFI (ΔCFI) ≤.01 considered evidence of measurement invariance [ 67].

The second observation is the obvious lack of accuracy when using the null resolution compared to the high-resolution model with differences from +10 to -30 dB.

In particular, both these localized smoothing models appear to fit the data better than the global smoothing BYM model, with differences of 11.6 and 8.2, respectively.

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