Sentence examples for a model for recognition from inspiring English sources

We propose a model for recognition of gene end signals and discuss the implications of these findings for transcriptional regulation in pneumoviruses.

Zymosan, a glucan with repeating glucose units connected by β-1,3-glycosidic linkages, induces inflammatory signals in macrophages through toll-like receptors TLR2 and TLR6 and has served as a model for recognition of microbes by the innate immune system for over 50 years [ 42].

More specifically, a classification model for activity recognition can be used to measure the utility information in the input data, while a model for identity recognition can measure the privacy information in the data.

The tandem UIMs in S5a provide a model for the recognition of polyubiquitin chains.

Taken together, these finding suggest a model for mate recognition in the B. plicatilis species complex: A relatively simple set of extracellular globular coiled proteins encoded by mmr-b genes expose a variety of phosphorylated and glycosylated residues that serve as ligands to a receptor on the surface of males used to trigger copulation.

A reference model for recognition of emotions on faces has been introduced, as well as a computational model to detect slow conveyed emotions and to infer the speaker's overall emotional state.

By contrast, over the past decade, Britain has been a model for inclusion and recognition of Gypsies, Roma and Travellers.

The results support a model for naïve antigen recognition in which large Tyr side-chains establish binding contacts with antigen, and small Ser and Ala side-chains serve as auxiliaries that help to position Tyr in favorable binding conformations.

A model for understanding the recognition of the d TTAGGG) sequence by UP1 was proposed by Shamoo et al., and it was noted that the base composition, stereochemistry, and steric properties of the bases making up the 5′-TAG-3′ nucleic acid sequence are critical for UP1 binding and even slight modifications to this sequence are detrimental to the binding affinity.

A new statistical metric, the 'sum of the modified logarithm of ranks' (SMLR), has been defined which measures performance of a model for both the "early recognition" (ranking earlier/higher) of active compounds and their relative ordering by potency.

In this paper, we use a fine-tuned CaffeNet [19] model for recognition of normalized images.