Sentence examples for thanks to the evolution from inspiring English sources

He compares this natural apprehension of a moral principle to the depth perception humans have thanks to the evolution of stereo vision.

This has been made possible thanks to the evolution of email and its filtering tools.

Today, that power is finally starting to be better leveraged thanks to the evolution of Neurologic Music Therapy (NMT): the therapeutic application of musical components to address cognitive, sensory and motor dysfunctions.

In the last 10 years it has been increasingly described, thanks to the evolution of imaging modalities, especially MR, and to more widespread knowledge of this entity.

As for other non-model species, genetic analyses in quail will benefit greatly from a higher marker density, now attainable thanks to the evolution of sequencing and genotyping technologies.

Given that food science and nutrition is replete with examples of compounds being identified in foods at very low concentrations thanks to the evolution of highly sensitive analytical methods, this line of thinking is intriguing.

Regarding the first aspect, over the past 30 years, vascular surgery has undergone a significant evolution process: all has changed with the advent of endovascular procedures and, thanks to the rapid evolution of available grafts, everything is still changing.

The availability of such information is becoming ever-more important for weighing the comparability of assay results thanks to the rapid evolution and growing complexity of high-throughput experimental techniques [ 74- 78].

Furthermore, thanks to the high accuracy scheme, the evolution of the unstable solitary wave of the GRLW equation with (p ge5) also be simulated, as established in [19].

The Naldi et al.'s method, regardless of its computational efficiency, is a more powerful modeling tool thanks to the use of logical evolution rules and multi-valued species.

This may be seen as a natural evolution thanks to the increase in data availability for analysis, the development of more efficient computational methods, and the need for more accurate and evidence-based assessments.