Sentence examples for evolution of crs from inspiring English sources

A broad range of factors can contribute to the evolution of CRS symptoms.

To the best of our knowledge, very few studies [ 38, 49] have characterized structural organization and evolution of CRs in lizard mitogenomes.

Detailed phylogenetic analysis of CR elements in the grasses illustrates that HT and interelement recombination are important factors in the evolution of CRs.

Although only a fraction of HT events can be detected and many recombination events do not yield elements with increased fitness, it is becoming clear that both mechanisms contribute significantly to the evolution of CR elements, possibly by enabling retrotransposons to circumvent the otherwise tight proliferation control mechanisms of the host genome.

Fuzzy logic is often combined with neural networks that can adapt to the environment during the evolution of a CR system.

No significant statistical difference could be detected between the two groups during the extinction sessions [F 1,13) = 0.21; P = 0.65], suggesting a similar evolution of the percentage of CRs during the extinction process.

In contrast, the two-way ANOVA applied to the conditioning data showed a significant difference in the evolution of the percentage of CRs for the two experimental groups with respect to values collected during the habitation sessions [F 5,55) = 9.9; P<0.001].

Second, the hypothesis that slow substitution rates reduced diversity throughout the sperm whale mitogenome was rejected as sperm whales had significantly higher rates of CR evolution and no evidence of slow coding region evolution relative to other cetaceans.

An effect of Cr on microstructural evolution of aluminized fourth generation Ni-base single crystal superalloys was investigated.

The detailed influence of carbide layer on the properties of the composites was thoroughly studied by corresponding evolution of interfacial microstructure with increasing Cr content.

Hot compression tests were conducted in a temperature range of 800 – 1100 °C and strain rate range of 0.1 – 10 s−1 using a Gleeble 3500 thermomechanical simulator to investigate the influence of hot deformation parameters (temperatures, strain rates and strains) on the grain boundary network evolution of a new grade Fe-Cr-Ni superaustenitic stainless steel.