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The effects of apparent viscosity, G′, and G″ were discussed, and the model solutions revealed pseudoplastic behavior with a good fit to the power law rheological model.
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Analysis of the ensemble of network model solutions reveals that a set of strong interactions is shared by a majority of the inferred network models.
Derived analytical solutions revealed that the coevolution dynamics differs qualitatively between the models with constant and changing population sizes.
The numerical solutions reveal that the simplified nonlinear dynamic model better fits the physical response than conventional reduced linear beam model.
The issues of model complexity and model selection are seamlessly addressed by employing a hierarchical prior that favors the discovery of sparse solutions, revealing the most prominent features in the coarse-grained model.
These solutions reveal amplitude-dependent dispersion behavior and group velocities.
This solution revealed a different model in terms of factor positioning, with factor 2 (F2) being the most important in explaining variance.
The aneurysm model infused with the EVAL-g-PnF solution revealed that the aneurysm lumen was filled with proliferated fibroblasts and macrophages.
GC analyses of model solutions (0.05 0.5 M HClO4/PC) revealed CO2 and allyl alcohol as primary products.
In addition, fed-batch cultivation with a raw glycerol model solution (Figure 3) revealed that the methanol concentration in the broth reached 0.4 and 1.5% after 12 and 18 h of cultivation, respectively (data not shown).
The hollow particle colloid solution revealed good MRI properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com