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Aiming for more realistic evolutionary simulations in terms of gain and loss dynamics, we simulated phyletic patterns with gain and loss rates that were estimated from a real data set of microbial species' phyletic pattern (based on COG gene families; details in Materials and Methods).
The simulations provided satisfactory simulations in terms of the selected performance criteria comparing well with conventional multi-linear regression.
Experimental measurements were performed, and the results agreed well with simulations in terms of spatial resolution and sensitivity.
The outcomes of the CFD simulations in terms of profiles of velocity, pressure, etc. are discussed in detail.
The results are compared with simulations in terms of the group velocity and they present very good agreement.
These results were rationalized by docking studies and molecular dynamics simulations in terms of stabilization of DFG loop, by compound 5 in a conformation more accessible to phosphorylation.
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To check the accuracy of our simulation model in terms of the selection of FT, the SNR after blanking nonlinearity using FT was obtained in 100 iterations.
Finally, phenomenological screening process models are adjusted to the outcome of the DEM-simulations in terms of the fraction retained on the screen and overflow separation curves, respectively.
The proposed scheduler is evaluated through simulation in terms of delay, throughput and fairness index.
We use work by A. Thijs on coalgebraic modelling of simulation, in terms of relators Γ as extensions of functors.
To present the effective applications of paediatric medical simulation in terms of education, evaluation, density, development, goals and constraints.
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