Sentence examples for signals identify from inspiring English sources

If he plays Sunday Legursky will have to call out signals, identify defensive alignments, make calls for the offensive line — and he will have to block B. J. Raji.

Ca2+ signals identify all nitrergic and non-nitrergic varicosities.

Resting-state functional magnetic resonance imaging (fMRI) signals identify spontaneous neuronal activity [ 3, 4] and/or the endogenous/background neurophysiological process of the human brain [ 5– 7].

Restricting attention to 1239 probe/disease pairs with PP3 + PP4 ≥ 0.8 (suggestive of association with both traits), published candidate causal genes are over-represented amongst pairs exhibiting colocalisation (odds ratio > 1, Table 2), suggesting that colocalising signals identify disease-relevant genes in all cells and conditions analysed.

Inflammasome is a molecular platform for activation of caspase-1, which, when intracellular signals identify danger or microbial infection, becomes activated by binding with inflammasome to cleave such precursors of inflammatory factors as pro-IL-1β and pro-IL-18 resulting in secretion of 'mature' IL-1β and IL-18, consequently promoting the inflammatory cascade [ 43].

According to this interpretation, in our study, the SHG-B signals identify collagen fibers of more variable fiber maturity compared with the SHG-F signals which would suggest that SHG-F-detected fibers within the gland might have a more crystalline or mature structure.

The new system will rely on tiny transponders, placed at close intervals inside the tunnels, that will send signals to passing trains and receive signals identifying the trains, in return.

On the basis of the GBR law the AE signals identifying critical damage are selected.

Almost all early signals identified originated from two textual data sources: science and food safety authorities.

The unique aspect of the method is the use of estimated source signals identified via beamforming as reference source signals in the decomposition procedure.

Against this backdrop, we propose a two-tier telecardiology framework, where constraints on resources, such as power and bandwidth, are met by compressively sampling ECG signals, identifying anomalous signals, and transmitting only the anomalous signals.