Sentence examples for measure to classify from inspiring English sources

Multiple- and single-item measurements were recoded into a combined measure to classify adherence: participants were only coded as "meeting the fruit guideline" if they did so according to multiple- and single-item measurements.

Multiple- and single-item measurements were also recoded into a combined measure to classify adherence: participants were only coded as "meeting the PA guideline" if they did so according to both the multiple- and single-item measurements.

To determine the test-retest reliability of the Neuromuscular Recovery Scale NRSS), a measure to classify lower extremity and trunk recovery of individuals with spinal cord injury (SCI) to typical preinjury performance of functional tasks without use of external and behavioral compensation.

Han et al. [21] used a weight-adjusted cosine similarity measure to classify several real data sets and showed that this is more effective than traditional approaches.

Gov. Rick Snyder signed a measure to classify the drug as a Schedule II substance, drugs with a high potential for addiction and psychological effects, the Detroit Free Press reported.

Dichotomizing a continuous biomarker measure to classify responders also leads to challenges.

Quantitative methods require the use of standardized measures to classify responses of varied participants into pre-determined categories for generalization about the program's impact on its participants.

The residence time distribution of sorbents is also measured to classify the flow regime as plug flow or well-mixed flow.

Mercer Delta, for example, has devised an elaborate set of measures to classify five different types of board behaviour, from the passive (essentially, the South Central Pacific and Mexican Railway Company approach) to the operating, where the directors have, in effect, stepped in to take control.

Our findings point to the need of using a combination of measures to classify the severity of language problems rather than a single dimension.

Moving beyond the analysis of human movements, recent works have shown that mobile phone data can be useful to study metropolitan land use [24 28] and, more in general, can provide some quantitative measures to classify cities in terms of their polycentrism, by identifying a city's hotspots and monitoring their stability over time [29].