Sentence examples for comparing and detecting from inspiring English sources

A dorsomedial rostral PFC subregion seems instead to be principally involved when one is comparing and detecting similarities between 2 situations or between expected and present.

In particular, we adapted the Smith Waterman algorithm (Smith and Waterman, 1981) to make it capable of comparing and detecting the best optimal local alignment of regions with similar sequences of TFBSs.

In addition, summary statistics such as mean vectors, bivariate interquartile ranges and convex polygons can be included to assist in interpreting trajectories, comparing groups, and detecting multivariate outliers.

By comparing MCs and detecting common subsets of features, we can trace neighbor relationships, which are shortcuts between lineages of different families.

This is also how we learn, and it depends on our ability to represent these known and new situations in a structured way and to compare and detect similarity between them.

Other lectin chromatography approaches, such as serial lectin affinity chromatography (SLAC), have relied on multiple lectins so that different subsets of glycoproteins can be targeted simultaneously to compare and detect changes in glycosylation patterns or to elucidate structural differences between glycoforms.

8 Trial data for acute sore throat and chest infections have suggested that an immediate prescription and particularly delayed antibiotic prescription could reduce reconsultation compared with a no prescription strategy, 11 12 but the trials were underpowered to compare strategies and detect complications.

To estimate the relative astrometric precision of the CSC, we use the point source simulations described in Section 4.2, and compare input and detected source positions.

The algorithm has been developed based on graph theory fundamentals using a first-order logic language, which compares two workflows and detects the conformance of a customized one with its associated IFP.

Simulation results demonstrate that OTH radar employing ESBW achieves significant SNR improvement compared to LFMCW and detects the target successfully in the presence of strong interference.

Stanford University's Center for Expanded Data Annotation and Retrieval will attempt to render a huge repository of infectious disease data into digital forms that will allow researchers to compare dissimilar studies and detect patterns in their findings.