Sentence examples for by using an evolving from inspiring English sources

The possible destabilizing effect of texture evolution is also exhibited by using an evolving yield surface the curvature of which increases in the neighborhood of the homogeneous solution.

Uniform incorporation was achieved by using an artificially evolved orthogonal pair of amber suppressor transfer RNA (MjtRNACUApCMF) and aminoacyl tRNA synthetase MjTyrRS (schematically depicted in Figure 1D; Xie et al, 2007).

Imaging was done using an Evolve EM-CCD camera driven by ZEN software (Zeiss).

Catalytically perfect units of replication evolve quickly by using an evolutionary optimization algorithm that selects sequences for replication rate.

Here we follow the original interpretation but modify it by using a reference variable that has an evolving distribution, according to an Ornstein Uhlenbeck process, with statistics that are similar to those of a physical scalar.

To this end a two-scale finite element continuum approach is proposed, in which coupling between the two scales is obtained by using a unit cell model with evolving microstructure due to mixed-mode crack initiation and propagation at the fiber/matrix interface.

Mate's app, global mood, transcribes the state of mind of many "real" London market leaders by using a 3D-render series that evolves according to market fluctuations.

Specifically, we have used an archaebacteria amber suppressor tRNA (Mj-tRNA)/aminoacyl-tRNA synthetase (Mj-aaRS) pair (from Methanococcus jannaschi) that does not interact with endogenous E. coli aminoacyl-tRNA synthetases or tRNAs. 1 This aaRS (CouRS) was then evolved by using a two-step selection process to specifically recognize CouAA and not an endogenous host amino acid.

Finally, Jolteon is evolved by using a Thunder Stone on an Eevee.

Therefore, despite deliberately evolving TEVCys by using a fitness valley, the nucleophile-permissive TEVSerX can also be accessed from TEVCys by nearly neutral mutations without any large drops in activity.

These rules are then "evolved" to maximize predictivity by using a number of methods (e.g. crossing over among rules), mimicking chromosomal evolution.