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To assess validity of our ballistic simulations, we can compare simulated impact densities for Scale 4 eruptions with the observed values of the 2007 phreatic eruption, reported in Kilgour et al. (2010).
By comparing the historical and historicalNat simulations, we can quantify the impacts of anthropogenic climate change.
With simulations, we can discover relationships that the unaided human mind, or even the human mind aided with the best mathematical analysis, would never grasp.
To further reduce the total cost of the simulations, we can introduce low-fidelity as well as high-fidelity training simulations.
By comparing the total design cost of different simulations, we can direct the design team to standardization or modularization opportunities.
Based on our simulations we can predict optimal operation strategies and improved design concepts for future Li-ion batteries employing thick electrodes.
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Aside from using our simulation model, we can also analyze the raw ribosomal profiling data of Ingolia et al.
Because the tissue-specific expression profile is the one method-independent input to the simulation model, we can expect similar predictions for transcriptomes from different sources.
In the simulation, we can then superimpose random variability simulating clinical beat-to-beat variability (the "noise").
"With simulation, we can take GPCRs and arrestins and pull or push certain parts to see what happens.
From articulated mechanisms, to cloth, fluids and soft bodies; through simulation we can experiment with problems otherwise intractable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com