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Simulation is commonly used in nursing education to teach clinical skills.
Monte Carlo simulation is commonly used to quantify the overall uncertainties of conventional fault tree analysis.
Building performance simulation is commonly used to calculate heating and cooling demand.
In many researches related to wireless network, simulation is commonly used for performance evaluation.
Nowadays simulation is commonly used in engineering design for verifying design concepts before physical prototypes are produced.
While a simulation is commonly performed for performance evaluation of an MPSoC, it often suffers from a lengthy run time as well as poor performance coverage due to limited input stimuli or their ad hoc applications.
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Modelling and simulation are commonly identified as the third paradigm in scientific understanding, complementing theory and experiment.
Although the numerical model calibrated via experimental measurements is becoming a common solution, certain unrealistic result from numerical welding simulation are commonly observed due to the use of different software and modeler practices.
Figure 1 presents a brief outline of some areas in which modeling and simulation are commonly employed during drug development.
Monte-Carlo simulations are commonly used to study complex physical processes in various fields of physics.
Molecular docking simulations are commonly used to identify and optimize drug candidates by examining the interactions between the target protein and small chemical ligands.
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