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All experimental data were generated by J.D., who also had primary responsibility for experimental design and data analysis.
Experimental data were generated in various simulated automotive service environments and analyzed to develop engineering models.
Synthetic "experimental" data were generated numerically through simulation (and not from laboratory experiments).
For the validation of this methodology, experimental data were generated using digital image correlation (DIC) measurements.
The inflow wind fluctuations conditioned by the experimental data were generated artificially.
The experimental data for all measured systems are finally compared were the correspondingeneratedusingana isochoricsence of the above mentioned cyclic compounds to identify their promotion effects.
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A set of 198 experimental data was generated using two experimental designs.
Furthermore, one equation based on the MGGP model using well log and core experimental data was generated to predict permeability in porous media.
The experimental data is generated using sampling approaches.
Experimental data was generated in order to develop the two aspects of data handling and analysis that can contribute towards measurement uncertainty in results.
As more and more experimental data are generated, it becomes very challenging to interpret the biologically significant results in a way that can be experimentally verified.
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