Sentence examples for metrics compared with from inspiring English sources

It is observed that proposed SRAM cells show improved performance metrics compared with the Low-k JAM and the inversion mode based SRAM cells even at lower supply voltages.

The NCI producers cohort [ 39] and the nested case control analysis of the embalmers and funeral directors group [ 54] found elevated risk estimates based on some exposure metrics compared with an internal reference group.

Measures of heart rate variability were found to be more frequently able to detect the presence of exercise, with more consistent changes across their metrics compared with breathing variables [ 9].

High-educated women had significantly greater numbers of ideal CVH metrics, ideal behaviour metrics and ideal health factor metrics compared with women with low or medium education, while low-educated men had greater numbers of ideal CVH metrics and ideal behaviour metrics only in comparison with medium-educated men (see online supplementary appendix 2).

Participants with high educational levels had a significantly greater number of ideal CVH metrics, and ideal health factor metrics compared with those with low or medium educational level (OR 0.88 95% CI 0.77 to 0.99 and OR 0.88 95% CI 0.80 to 0.96; OR 0.81 95% CI 0.69 to 0.96 and OR 0.77 95% CI 0.68 to 0.87; respectively).

In our study low-educated and medium-educated women had significantly smaller number of ideal CVH metrics, ideal behaviour metrics and ideal health factor metrics compared with women with high education, while low-educated men in comparison with medium-educated men had a greater number of ideal CVH metrics and ideal behaviours.

How these metrics compare with those computed between the Standard Model and TDS-1 in Table 4 can be used to estimate how significant the choice of reference frame is compared to the overall errors.

The results of our study begin to address these criteria by demonstrating how PD metrics compare with traditional measures of biodiversity and between similar communities, but many more empirical studies are needed.

Thus, the mentioned six metrics were compared, with two graph-based similarity metrics (Substructure and Superstructure) implemented in JChem for KNIME in addition.

Quantitative estimates of exposure errors can be obtained by carrying out calibration substudies where results from more complete exposure metrics are compared with results from the modeled metrics (Berhane et al. 2004; Fraser and Stram 2001; Mallick et al. 2002; Sarnat et al. 2001; Stram et al. 1995).

In a series of studies, the new metrics were compared with the only other published metric of lostness, the optimal path deviation measure formulated by Smith [P.A. Smith, Towards a practical measure of hypertext usability, Interacting with Computers 4 (1996) 365 381], and with other measures including self-report estimates and task times.