Sentence examples for a degree of data from inspiring English sources

This provides a degree of data redundancy allowing weak or overlapped peaks to be removal from the analysis and a higher precision in the final value of the reduction potential determined.

Recruitment was discontinued at 18 participants when it was judged that we had reached a degree of data saturation, both in terms of new issues emerging from the data and the level of evidential support for the main argument of this paper, therefore not justifying the increasing difficulty and costs of recruitment.

19 31 However, there is a degree of missing data in HSE, which is a limitation.

Stage was included despite a degree of missing data (13.1%), because it is known to influence survival, [ 3, 4] and a missing category was conveniently added.

Providing reliable, efficient individualized patient support requires a degree of mastery of data and coordination with increased use of ICTs.

A large Dmax will result in a smaller number of CFs and hence a greater degree of data reduction whereas a small Dmax will result in a larger number of CFs and a lesser degree of data reduction.

A performance-based quality assurance/quality control (QA/QC) approach was developed to ensure a high degree of data quality, consistency and comparability.

This strategy turns out to introduce a hidden bias towards sick patients because sicker patient have records with a higher degree of data sufficiency and are more likely to be included in EHR-based studies; therefore, this selection process biases the study populations towards those comprised of sicker patients.

Since large-scale data intensive applications frequently involve a high degree of data access locality, the DSSM divides GOS nodes into multiple geographically distributed domains to facilitate the locality and simplify the intra-domain storage management.

Applications that involve a high degree of data parallelism such as database management, text processing, image processing, graph processing, bioinformatics, weather modeling, managing UAS Unmanned Aircraft Systemss or drones) etc., are good candidates for AP solutions.

On the other hand, general purpose computing using Graphics Processing Units (GPUs) has become a very active field because of the high speed-up ratios that can be obtained when applied to problems that exhibit a high degree of data parallelism.