Sentence examples for future propagation from inspiring English sources

In common with pigeon breeders, Popstars judge Louis Walsh navigated his own private Galapagos island of fame and chose for future propagation only those that he deemed best fitted to survive, secure mates and perpetuate their own kind.

Future propagation of cracks will destabilise the side areas (Fig. 5).

Possible future propagation of these cracks may result in mobilization of approximately 25,000 m3 of the estimated volume of the rocks causing a smaller scale disaster than the landslide in 2009.

To improve current annotations and prevent future propagation of errors, sequence-independent tools are, therefore, needed to assist in the identification of misannotated gene products.

Nevertheless, their work has motivated us to test the feasibility of predicting future afterslip propagation and its triggering of another earthquake with a realistic continuum fault model based on an adjoint method.

Once novels and plays have withered and died as source material, could this be the future of cinematic propagation — the cultivated cult, raised online and then grafted onto the big screen?

Focus has often been on the outdoor environment, although recent projects such as Climate for Culture and the UK projects Preparing Collections for Climate Change and Collections Demography have looked at the propagation of future climate change indoors.

The results of this paper can serve as a reference for future study on wave propagation in coupled structures as well as in the design of smart structures incorporating piezoelectric materials.

It is equally important to fully comprehend how genomic stability can be preserved in hESCs during in vitro propagation for future, safe applications in regenerative medicine.

Seismic activities around such structures should be monitored to evaluate their seismic potential and to develop rupture propagation scenarios for future devastating earthquakes.

In future work, we will investigate propagation properties that can be utilized for classifying latent infection states under more extensive assumptions such as multiple sources and different epidemic models.