Sentence examples for method across multiple from inspiring English sources

A key strength of the study is that it used a standard data-collection method across multiple low- and middle-income countries.

The paper describes a synchronisation method across multiple research information systems Holding CV information and full-text articles with metadata) in Portugal using ORCID as the essential linking / identification mechanism.

The kinetic approach was expected to have greater predictive power and show better reproducibility than using single hCG concentration thresholds as the effects of measurement intra- or interindividual inaccuracies (e.g., related to the use of different immunoassays) are reduced during fitting by the least squares method across multiple measurements (You et al, 2010; Bidart et al, 1999).

Future work should evaluate different feature engineering methods across multiple datasets to determine which types of features are most useful for online review spam detection.

The literature search yielded a relatively small number of articles assessing physical performance measures that used consistent testing methods across multiple studies.

However, in order to employ these methods across multiple studies, the same aspects of immune function need to be measured.

Our work aims to develop the taxonomy of synthesis methods across multiple disciplines such as health and philosophy.

Our results are the first to show correspondence between loci identified using the two complementary genetic mapping methods across multiple 1) phenotyping and genotyping platforms, 2) environments and growth stages, and 3) years for cell wall traits.

Interestingly, LDA degenerates on the motor neuron held-out sets with behavior consistent on both training methods and across multiple replications.

There are also issues with the uniformity of this method not just across multiple individuals, but also for a single person: it "may not be uniform across the entire day or across days of the week".

The method, called Binarization across Multiple Scales, is based on the computation of a series of step functions, detection of the strongest discontinuity in each step function and the estimation of the location and variation of the strongest discontinuities.