Sentence examples for because they exploited the from inspiring English sources

Dr Dehaene thinks that our visual system became sensitised to them early on, and that letters were later selected because they exploited the sensitivities of the human brain to such shapes.

Ultimately, the Raptors advanced past the Heat because they exploited the size advantage that presented itself once Hassan Whiteside disappeared from the series, in addition to Lowry finding his game.

We call these techniques square watch interaction (SWI) techniques in this paper because they exploit the form factor of a square smartwatch.

It is noted that the DDOA measurements determined for different sensors are correlated, because they exploit the same TOA measurement set generated by the reference sensor.

For the different poses, the projected LDA features clearly outperform the other techniques (between 4% to 12% of loss of accuracy for the different poses compared to the frontal views) because they exploit the specificity of the features for speech recognition compared to the more general image or DCT feature spaces (accuracy loss 25%to34%4% compared to the frontal views).

Antibiotics can rapidly kill bacteria without destroying human cells because they exploit the differences between bacterial and eukaryotic cells.

Phylogenetic distance measures, which account for the phylogenetic relationship among the species, provide far more power because they exploit the degree of divergence between different sequences.

Panel data models are more efficient than OLS, because they exploit the longitudinal structure of the data while controlling for the serial correlation in errors that is a consequence of the same individual occurring twice in the data.

Furthermore, housekeeping genes have been shown to vary considerably across different biological conditions [ 39]; global normalization approaches have greater stability because they exploit the abundance measures of hundreds and thousands of entities.

Beyond a first step of clustering, sequence similarity networks allow biologists to perform fine-grained analyses of similarities between sequences, because they exploit the information provided by the topology of weighted connections between sequences within and between clusters.

Bayesian reduced rank regression and sparse CCA were less affected by the overfitting because they exploit ways to control the complexity of the model, the former using the informative priors, the latter using the cross-validation.