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The experimental data were supported by theoretical models, which resulted in equations specific to our system but applicable also to other nanoporous structures.
Spatial comparisons of DEMs were found to be sensitive to even sub-pixel misregistration between the two models, which resulted in a strong erroneous correlation with aspect.
An identical search strategy was used to query the Mnemiopsis genome and predicted gene models, which resulted in three hits (MleiOpsin1 to 3).
The OR magnitude of exposure did not vary between models, which resulted in nonstatistically significant results to the overall models analyzed.
Biomass price of $50/metric ton was assumed for development of actual models, which resulted in biomass cost of $0.79 and $0.89 per gallon of ethanol for dilute acid and steam explosion pretreatment respectively.
The effect of marker density, training data size and distance between breeds, however, differed between the two models, which resulted in the model with the highest accuracy to differ between scenarios.
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In contrast, the described sharing strategies produce models which result in enormously reduced file sizes, outlined by Fig. 8.
This paper investigates the degree to which multidimensional skills profiles of children can be reliably estimated with confirmatory factor analysis models, which result in continuous skill profiles, and diagnostic classification models, which result in discrete skill profiles.
A CI model has benefits over the KM and LB models, which results in shorter measurement procedures and better fitting to experimental data, rather than the calculation of different coefficients.
Therefore, additional errors are introduced by the uncertainty and nonlinearity of atmospheric refraction models, which result in reduced navigation accuracy and reliability.
This problem is mainly caused by the difference in material descriptions between the atomistic and continuum models, which results in a mismatch in phonon dispersion relations.
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