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Finally, the mixture target property values are verified by means of rigorous models for the properties and the mixtures.
Further, to check if a value is in the set, the same hash functions are computed on the input value and the bits in the bit-vector structure addressed by the hash values are verified.
Note that 0 is the default value (selected whenever none of the conditions defined for other values are verified).
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The predicted optimum values were verified by additional experiment.
These values were verified numerically by the finite element method.
Moreover, an increase in the pKa values was verified for the sensing units in the polymers.
The adequacy of the model equation for predicting the optimum response values was verified effectively by the validation data.
The model equations for predicting optimum response values were verified effectively by a validation data set for all surfaces evaluated.
The adequacy of the model equation in predicting optimum response values was verified effectively using experimental test data that was not used in the development of the model.
The HQSAR model predicted the external test-set of compounds well since a good agreement between the experimental and predicted values was verified.
The model was then employed to predict the biological activities of 15 test set compounds, and a good agreement between the experimental and predicted values was verified exhibiting a powerful predictable capability of this model (qpred2= 0.868).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com