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PKN model predicts larger widths than KGD does.
The PKN model predicts larger fracture widths than the KGD model does.
For postformation ignition runs, the 12-step model predicts larger heat release rates and main species mole fractions compared to GRI-Mech 3.0.
The model and the observations start to deviate at lower organic to inorganic ratios: the model predicts larger decrease in particle size than observed with TDMA.
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The model predicts large marginal assimilation rates in the initial years after arrival, but also indicates fast and high depreciation of human capital later, thus predicting an early and very large "penalty" for the age for immigrants, which is highly unrealistic.
However, the model predicts large differences in overall mortality rates between the three treatment centres, even when the same monitoring frequency is used.
The model predicts large variations of during the S phase, between and 0.6, in C. albicans and C. dubliniensis lineages.
The FGM model predicted large stress variations both between and within the leaflet layers at end-diastole, with low-collagen regions bearing significant radial stress.
When PGA activation was simulated 5 min after the onset of PGK, the model predicted large instant reductions in PGK-induced hyperpolarization (Figures 9C and 9D) with Em approaching EA, closer the higher the induced PGA.
Unlike small and medium ecoregions where realm is an important predictor of species richness, only biome type, NPP and ecoregion area were included in the preferred model predicting large ecoregion species richness.
The model predicted large increases in the geographic extent of DF and a longer disease season, especially in temperate regions at the fringes of the virus' range (Patz et al. 1998).
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