Sentence examples for drive evolutionary from inspiring English sources

(And all without attracting the notice of PETA!) Over nine consistently delightful chapters, Zuk pulls focus between the intriguing daily habits of ants, bees, grasshoppers, cockroaches and crickets (to name just a few of her subjects) and the broader questions that drive evolutionary biology and ecology.

"Nevertheless, we have little knowledge on how fire acts on the variability of seed traits among individuals to drive evolutionary changes in natural populations".

Such ideas included the notion that "needs drive evolutionary change," that pressure applied to organisms can push them to change, and that the disuse of phenotypic features proximally produces evolutionary loss.

Even though many paleontologists expressed doubts about the efficacy of natural selection to drive evolutionary change (Bowler 1983; Rudwick 1976; Switek 2010), Darwin's abstract inspired paleontologists to search for fossils that possessed features which were transitional between one species and another.

For example, use of KC 2 (heritability) by a participant across three or more prompts would be considered a coherent application of this concept, as would the application of a naïve biological concept, such as "needs drive evolutionary change" across three or more responses.

Lacking further supportive evidence for a mechanism to drive evolutionary change, coupled with the fact that he perceived his paper to be largely ignored by the scientific community, Wallace continued about his business of collecting specimens in relative anonymity, but he never abandoned his ultimate quest to understand the origin of species.

According to Nägeli, species variation was caused internally by an inherent force that drove evolutionary changes in a particular nonrandom direction, such as increased size.

"There's a debate going back to Darwin about what drives evolutionary change," Huey says.

Creationists and ID proponents claim that allegiance to a materialistic worldview drives evolutionary theory more than any established biological evidence.

Additionally, these four best performing MOACO algorithms are favourably compared with the Infeasibility Driven Evolutionary Algorithm (IDEA) designed specifically for industrial optimization problems.

This paper presents an optimization framework for the design of AUVs using two state-of-the-art population based optimization algorithms, namely non-dominated sorting genetic algorithm (NSGA-II) and infeasibility driven evolutionary algorithm (IDEA).