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Nevertheless, the agreement of all the models investigated with the experimental data is, in general, poor.
Some tools, however, are supposed to be conflict free, like the Rfam models investigated with Infernal.
Based on the current validation, the LAA model was considered to give the best performance of all of the models investigated, with the predicted Cmax closest to the observed values, and within the specified 2-fold range for all studies.
The same conclusion is reached from a comparison of the INDO-calculated Abs spectrum for each of the four models investigated with the experimentally determined Abs spectrum (see Figure S1).
Slight variations in the percentage error (mean values ranging from ±0.0 to 5.8%) and precision (mean values ranging from 17.5 to 21.7%) are overshadowed by the wide 95% limits of agreement observed for all the models investigated, with typical ranges of –50 to 50%.
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The two types of models investigated include delaminated regions with and without contact.
Logistic regression models investigated the association of PTFV1 with cortical and with all subclinical infarcts.
As described above separate models investigated gender and age interactions with SRH.
The analytical performance of the calibrated models was investigated with the aid of relative prediction error (RPE), root mean square error for cross validation (RMSECV) and recovery.
Single-span, three-span and full bridge models are investigated with different elements such as shell, beam and combinations of these.
The models are investigated with eight different input combinations to find the most appropriated input variables.
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