Validation against experimental data has proven the accuracy of modeling assumption.
In practice, however, those data have proved dangerous to exploit.
The preliminary data has proved satisfactory psychometric qualities.
But, once again, the data has proved him wrong.
The application of mathematical models, in conjunction with kinetically-measured experimental and clinical data, has proven in the past to be an extremely useful approach, in particular in the fields of virology and immunology [10] [12].
But even that data has proven confusing.
Acquiring accurate and clinically valuable quantitative data has proven challenging.
Finally, no experimental data has ever proven causality with respect to the hypothesized functions.
5 Direct experimental data have been conflicting.
Comparison of simulation results with existing experimental data has shown good agreement, proving the validity of the method and its capability of simulating the flow in a Holweck pump with small computational effort.
