Sentence examples for function heavily from inspiring English sources

However, the accuracy of an empirical scoring function heavily relies on the training set of experimental affinity data.

Apple promoted its own Maps app's new turn-by-turn function heavily, and that was one of the key advantages often cited by Android owners as a tangible benefit their own mobile OS provided when compared to the competition.

The person's memory function depends heavily on circumstances; for example, a man with Korsakoff's syndrome who recognizes his wife instantly when she visits may in her absence vehemently deny that he is married.

However, it is hard to select the trial solution initially for optimization because the defined objective function has heavily local minima.

The optimization procedure previously described has shown a serious problem: the objective function is heavily dependent on the fleet dimension (first component of s) and slightly dependent on threshold values (second and third components of s).

Essentially, it means all this nuclear talk is necessary for North Korea to consolidate its internal narrative during the transition between leaders, and its function is heavily symbolic (for now at least).

This function relies heavily on the ability of p53 to function as a transcription factor by binding promoters of target genes in a sequence specific manner.

It was shown that the optimal choice of the scoring function depends heavily on the screening approach and on the interaction class under analysis.

For their development and function, DCs heavily rely on the UPS and thus the effects of proteasome inhibition on the functionality of DCs have been the subject of extensive studies.

However, that almost a third of the occupational role varied by province suggests that nursing function is heavily influenced by local factors and that it may be valuable to draw up job descriptions that reflect this diversity.

Kernel intensity estimators predict spatial intensity at unsampled points from nearby sampled points by using a quadratic function to heavily weight the nearest measured points and de-emphasize points sampled at greater distances.