Sentence examples for critical to processing from inspiring English sources

Contiguous physical connections between the cell surface proteins that communicate with the extra-cellular environment, the cytoskeleton and the nucleus make possible signal transduction mechanisms that are critical to processing nearly every signaling cue to which a cell can be exposed.

Both of these suggested resolutions independently lead to a possible prediction based on the action-perception division of labour within the visual system (Goodale and Milner, 1992), that although dorsal stream function is critical to processing visual motion leading to action, the ventral stream is critical for processing visual motion leading to perception.

As indicated in Kolb's model, a critical parameter integral to processing experience so as to promote cognitive development, is critical reflection.

Baking of semiconductor substrate is common and critical to photoresist processing in the lithography sequence.

In this paper, we aim to highlight a different challenge critical to the processing of longitudinal DTI data, namely the approach to image alignment.

Glutathione protects nerve cells and nerve conduction critical to mental processing, especially from toxins.

Glutathione is an innate antioxidant that protects oligodendrocytes and the integrity of the nerve conduction pathway critical to mental processing.

These data indicate that PRiMA is critical to intracellular processing of AChE, and targeting it to and stabilizing it at the axon.

We hypothesized that CHI has a characteristic pattern of distribution, and that infants with CHI have a significantly greater incidence of injury to pre- and post-cerebellar nuclei critical to cerebellar processing, i.e. inferior olivary nuclei, basis pontis and cerebellar dentate, compared to control infants who did not sustain CHI.

The interaction between excitatory and inhibitory inputs is critical to neuronal signal processing.

Adaptability for the different data sizes, critical to big data processing, is realized by the ability to shrink or expand the whole architecture to fit different deeply learned feature dimensions.