Sentence examples for simulation of evolution from inspiring English sources

This paper presents the development of a fatigue damage model able to carry out simulation of evolution of delamination in the laminated composite structures under cyclic loadings.

The results of analysis and numerical simulation of evolution and interaction of the N-vortex structures of various configuration and different vorticities in the continuum including atmosphere, hydrosphere and plasma are presented.

Any RNA, when in a complex with another oligoribonucleotide known as an external guide sequence (EGS), can become a substrate for ribonuclease P. Simulation of evolution in vitro was used to select EGSs that bind tightly to a target substrate messenger RNA and that increase the efficiency of cleavage of the target by human ribonuclease P to a level equal to that achieved with natural substrates.

The results of simulation of evolution and interaction of the two-dimensional and three-dimensional vortex structures, including such phenomena as dynamics of the atmospheric synoptic vortices of cyclonic types and tornado, hydrodynamic 4-vortex interaction and also interaction in the systems of a type of "hydrodynamic vortex – dust particles" are presented.

We have taken a computational approach to studying heterosis, developing a simulation of evolution, independent reassortment of alleles and hybridization of Gene Regulatory Networks (GRNs) in a Boolean framework.

In computer science, simulations of evolution using evolutionary algorithms and artificial life started in the 1960s and were extended with simulation of artificial selection.

Similar approaches have been tried to investigate the robustness of gene regulatory networks in simulations of evolution [120].

We investigated both the bias and precision by simulating sequence evolution (Methods: Simulation of sequence evolution); for these simulations, we used relatively short ancestral sequences (compared to the primate genomes) for which smaller values of k will be enough to overcome k-mer homoplasy.

One interpretation of these findings can be made in the context of previous simulation studies of evolution in modularly varying environments [ 18].

Rose 1.3 was used to simulate sequence evolution down the 12 species phylogeny given in Fig.  1b (see Methods: Simulation of sequence evolution); for each sequence length, 100 simulations were performed, and the number of topological mistakes averaged.

For this purpose, we performed Markov simulation of protein evolution taking into consideration all the known natural features of cyclin evolution (see Materials and Methods section).