Sentence examples for metrics we found from inspiring English sources

Using these metrics, we found 35 economies to be sharia compliant.

"We had a lot of people telling us this great stuff, but we were – for lack of a better word – in the 'Valley bubble.' When we looked at returning user metrics, we found that the average person – like my mom – never went back to Crosswa.lk".

From a complementing analysis, using local network-based performance metrics, we found the following.

Using these 'genomic' quality metrics, we found that while the TA_All performed best, with 61.1% of the 13,343 CCDS represented having a CRR of > =90%, the other hybrid TA, TA_Illprs&454, was similar in performance with 56.4% of the 13,213 CCDS represented having a CRR of > =90%.

While gains can be slow moving and measurement less clear than other business metrics, we find the key is keeping the momentum going every single day.

Using both metrics, we find an excess of fast-evolving elements associated with duplicated genes.

When comparing our two density metrics, we find the "percentage urban" variable consistently has a larger (and thus more significant) effect on coverage rates than the density score.

As shown in the charts of Figure 2, comparing the two curves generated by SPIC with these by other metrics, we find that the two areas under SPIC's distribution curves have the smallest overlap.

In this evaluation, the random effects ANOVA model underpins the rationale for most metrics and we found it to be a useful model for brain PET imaging, as it describes and quantifies the test-retest PET experiments in a succinct way, while at the same time capturing various random variations present in the data.

We did three iterations of the product in less than 12 months, each one progressively going off of different consumer metrics that we found and then partner feedback.

However, as in traditional peer review and in existing studies correlating expert assessments of the scientific value of a paper with metrics [15], we found substantial variation in perceptions at the level of individual papers.