We achieved this by forward-time simulations under complex models of trait evolution and analytical interpolation between ancestral states.
Complex networks are commendably in a position to describe many complex models of connection by natural science, social science, management science, engineering technology, and other fields.
Next comes the models of ever more complex models of disease carried by interaction of the two.
We can build more complex models of group behavior by adding orders of interactions between mice.
The final complex models of BKα/β4 was refined by Amber14 with ff14SB force field in generalized born implicit solvent (GBIS).
The results obtained using the simple inter-span coupling model reveal phenomena (i.e., eigenvalue crossings and veerings and associated mode localization) that are qualitatively similar to those featured by the more complex model of inter-span coupling, thereby confirming the usefulness of the simple coupling model.
The experimental results were obtained by running experiments with the underwater snake robot Mamba, while the simulation results were obtained by using the complex model of the robot described in "A complex model of underwater snake robots".
This disagreement between the equipartition prediction and the experimental value of the molar heat capacity cannot be explained by using a more complex model of the molecule, since adding more degrees of freedom can only increase the predicted specific heat, not decrease it.
In addition, Chambliss et al demonstrated that the formation of an atheromatous neointima could be prevented not only by E2 but also, at least in part, by EDC in a more complex model of carotid injury (as a consequence of hypercholesterolemia caused by ApoE deficiency).
