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To validate the approach, simulations were carried out with 10 weakly and 10 strongly heterogeneous sets of cargoes.
Thus, in this approach, simulations start without assigning any material Representative Volume Element (RVE) to the macro-scale finite elements.
Considering the limitations of this approach, simulations reasonably reflected the variability and range of the mercury DNAPL distribution.
By using an experimental-control group design we tested the effectiveness of structuring the task environment so as to encourage learners to approach simulations more systematically.
With this new approach simulations can be used as pre-experimental screening for optimal adsorber characteristics, reducing the actual number of screening experiments, which results in a faster and more knowledge-based development of custom-tailored adsorbers.
To evaluate the performance of our ARTIVA approach, simulations are run in order to assess the impact of three major factors on the algorithm performances: noise in the data, minimal length of phases, and number of proposed parent genes (the latter for WT simulations only, see Methods).
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In such approach, simulation practices are widely used to provide quantitative measures to assess the fault propagation and abnormal situations.
To corroborate the theoretical approach, simulation results on a group of six robots are shown and discussed.
Below is a description of the modeling approach, simulation, and experimental set up.
To validate these new approaches, simulations have been used.
The three other approaches (simulations, spike-in data and re-sampling) propose a direct comparison of power values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com