Sentence examples for features to evolve from inspiring English sources

As this is a beta, you can expect the features to evolve and change just like the rest of the site, potentially faster as we get your feedback.

This modularity makes it much easier for complex new body features to evolve".

The health and fitness-tracking market is big and getting bigger, and it's bound to get a lot more competitive as Apple expands its own native fitness features and continues to evolve those.

Thus, the microbiota and its microbiome offer genetic and metabolic features, allowing us to evolve from within and increasing our fitness when challenged by new environments.

In particular, features shared between the human and African ape wrist have been interpreted as evidence that human bipedalism evolved from a knuckle-walking ancestor [ 8, 17, 28, 29], while others consider these features to have evolved in parallel in African apes and their presence in humans to be largely the result of a close phylogenetic relationship to Pan[ 18, 20, 30].

Duplicated pilins, pseudopilins, adhesins, flagellins and syringe proteins may allow P. carbinolicus to present different features on the outer surface and to evolve these features rapidly.

According to Mojang's statement, the focus of the company will now be on supporting Minecraft with new content and features: "Minecraft will continue to evolve, just like it has since the start of development.

Rather than being static preglacial remnants, relict non-glacial surfaces are dynamic features that have continued to evolve during the Quaternary.

Horizontal gene transfer from eukaryotes as well as recombination between strains were identified suggesting that L. pneumophila genomes are highly dynamic, a feature allowing different clones to evolve into predominant disease clones and others to replace them subsequently within relatively short periods of time.

Following today's launch, the team plans to roll out more features as the app continues to evolve.

The lightweight IDS has been developed using a wrapper-based feature selection algorithm that maximizes the specificity and sensitivity of the IDS as well as by employing a neural ensemble decision tree iterative procedure to evolve optimal features.