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Clusters with P < 0.05, calculated through Monte Carlo simulations, were identified as statistically significant, and they were analyzed further for additional epidemiological description.
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By means of comparing engineering stress versus strain curves obtained from the tests with simulated ones, failure initiation in numerical simulations are identified.
These material parameters, which model the interactions between aggregates in the DEM simulations are identified using two simple experiments on a Uranium diOxide powder: closed-die compaction and diametrical compression test.
The populated states along the simulations are identified by monitoring multiple observables, probing both the structure and the flexibility of the conformations.
Here reactions with non-zero minimal fluxes in FVA-simulations were identified.
Several positive and negative factors in simulation were identified, but these had no relation to the simulation setting.
The representative structures of PXR protein complexes after MD simulation were identified by the RMSD values and graphical depiction of the clusters analysis with a RMSD cutoff of 0.1 nm during 30 40 ns of MD simulation.
A base case simulation was identified and established.
Modelling and simulation is identified as an economic, safe and reliable approach to reach this objective.
Challenges existing in flow and disinfection simulation are identified and discussed.
Simulation was identified as a way of addressing these skills, and a project team including both academic and clinical colleagues developed the exercise.
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CEO of Professional Science Editing for Scientists @ prosciediting.com