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Equation-based simulations are most commonly used in the physical sciences and other sciences where there is governing theory that can guide the construction of mathematical models based on differential equations.
Agent-based simulations are most common in the social and behavioral sciences, though we also find them in such disciplines as artificial life, epidemiology, ecology, and any discipline in which the networked interaction of many individuals is being studied.
WFIUH-based runoff simulations are most accurate for systems dominated by surface processes, not because the underlying theory would not apply to subsurface flow but because flow paths of lateral subsurface drainage, groundwater, and preferential flow bypassing the soil matrix are extremely difficult to map or predict.
Simulations are most flexible and are generally simpler to obtain, but lack precision.
The g = 2 radical signal was specifically probed through the use of various tyrosine isotopologues, and the observed hyperfine coupling constants, as analyzed through DFT simulations, are most consistent with a 4-oxidobenzyl radical intermediate that would be generated upon heterolytic Cα Cβ tyrosine bond cleavage.
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The numerical solution of these equations for very large-scale simulations is most often carried out using semi-implicit linearization or operator-splitting techniques.
The fluids used in the experimental simulation are most often refined oil and water.
The researchers found that the simulation was most accurate when it included how the cells behave in localized regions of the tumor rather than the entire tumor.
Building performance simulation is most often used to improve the design and at times the operation of buildings.
Simulation is most effective when the task is prediction, when complete information is available, when a reasonably high quality theory is available, and when the range of scales involved, both temporal and spatial, is not extreme.
In laparoscopic surgery, simulation is most easily offered by a low-technology model such as a conventional box trainer, using direct vision, or video images.
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