Cloud computing as a new internet-based computing model provides different resources as a service dynamically.
It is obvious that, in the case of a QSAR model providing different results with different users, the value of such a model is seriously questionable.
Our model provides different parameters for the direct identification of the NPs' size for optimized effect on cancer (absorption band width); the other model considers the intensity and distance to which the electric field would extend from the nanoparticles surface.
Repeating this process using the different RMSEs for each of the UV models for SEX, AGE, and EDUCATION, and the UC model, provides different z-scores and percentile estimates of 9.49, 8.41, 11.88, and 6.20 percentiles, respectively.
All the proposed models provide different predictions for the wall pressure cross spectrum.
Depending on different mix compositions and stress levels, individual models provide different predictions over long-term behavior.
For the same set of input parameters, different models provide different factors of safety and/or probabilities of liquefaction.
Here, different FGP models provide different optimal solutions.
It is possible that the different models provide different opportunities to increase instructional time in mathematics and science or reduce the number of between-classroom transitions.
On the other, models provide different interpretations of the non-logical vocabulary of our language (and so, logical consequence is not necessary truth preservation, but rather, truth preservation on the basis of the meanings of the logical vocabulary).
