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In this work, these limitations are shown to be related to model accuracy at key locations and model stability.

The objective of this work is to quantify the level of accuracy required at the substructure level to produce acceptable analytical model accuracy at the system level.

In order to evaluate our model accuracy at different bias and physical parameter conditions, we have compared model output at different CNT's diameters (d), oxide's thickness (t ox), source Fermi energy (E F), and gate source voltages at different V DS which are shown in figures.

It appears that most of the structures with decreased conformer model accuracy at RMSD cluster  = 1.6 Å are simply due to an unfortunate culmination of pronounced partition-based clustering edge-effects for a set of flexible di- and tri-phosphate containing structures.

Additionally, the low model accuracy at this spatial scale suggests that other variables not considered here also play important roles in the phytogeographic distribution of these species (e.g., propagule pressure, local disturbances, the nursery trade).

To assess model accuracy at five years, Harrell's bias-corrected concordance index was calculated.

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Field data from Iowa (2007 2008) and Ontario (2009 2010) were used to evaluate different model version × equation combinations' simulation accuracy at both daily and hourly scales, evaluated using the percent of bias (PBIAS), Nash-Sutcliffe efficiency coefficient (NSE), and the Index of Agreement (IoA).

The inclusion of nonlinearities potentially increases the model accuracy, but at a higher computational price.

RMSD pred is the predicted upper limit of the conformer model accuracy to ensure at least 90% of the PubChem3D conformer models have at least one "bioactive" conformer whose RMSD distance from the experimentally determined conformation is closer than RMSD pred.

The evaluation of the SDSM performance indicated that model accuracy for reproducing precipitation at the monthly scale was acceptable, but at the daily scale the model inadequately simulated some daily extreme precipitation events.

The control algorithm and process model are developed in delta form so that the effect of the truncation error on the model accuracy can be alleviated at a high sampling rate.

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