Sentence examples for simulations are that from inspiring English sources

The main results from our simulations are that the physical properties of the chromatin fiber can be well described by a simplified model consisting of cylinder-like nucleosomes connected by flexible DNA segments, with a geometry determined by the bending and twisting angles between nucleosomes.

The parameter values used for the simulations are that total degree of polymerization, N =Nα = Nβ), is 1000, the radius of gyration, Rg =Rg,α = Rg,β), is l0nm, and the segmental volume, vA = vB = 100 cm3 mol−1 for monodisperse and polydisperse samples (1.0 ≤ MWMn ≤ 1.5).

Some simplistic assumptions of our simulations are that species ranges move independently and stochastically following speciation, and at the same mean rate across all species.

The main results of the simulations are that population growth largely increases the number of segregating sites in the population and slightly increases the average number of mutations carried by each individual, including that of deleterious mutations.

Aside from the probable presence of the air gap, the main conclusions from the Monte Carlo simulations are that the most significant partial volume effect is due to the inclusion of a substantial amount of white matter in the photon migration path, while the skin and skull partial volume effect, even though present, has a minor impact.

An interesting observation from our simulations is that MAF influences imputation AR in different patterns for regions with different LD levels.

The primary limitation of many such simulations is that shared errors and intraindividual correlations are not accounted for.

A major limitation of all studies employing simulation is that behaviour in simulated environments may not mimic behaviour in everyday clinical practice.

As already mentioned, one main benefit of the constraint-based construction simulation is that additional constraints can be easily integrated into an existing simulation model.

One really interesting feature of both the weasel and biomorph simulations is that they simulate the effects of several genes (in contrast to the physical simulations mentioned above).

One problem with computer simulations is that no matter how realistically they might be programmed, they can say more about the programmer than baseball itself.