Sentence examples for identifying the majority of from inspiring English sources

Exact(14)

The two-dimensional detector architecture of the EMCCD allowed identifying the majority of such two- and multi-pair events (∼80%), such that in post-selected trials the probability of having two or more photons producing the retinal signal was only ∼0.02% (Methods section).

Image interpretation data indicated that participants were competent at identifying the majority of pathologies, especially those pathologies with apparent sonographic findings.

It is also worthwhile realizing that MALDI-TOF MS methods for identifying the majority of the fungal diseases recommended by the European and Mediterranean Plant Protection Organisation (EPPO) to be regulated as quarantine pests (List A1: https://www.eppo.int/QUARANTINE/listA1.htm, List A2: https://www.eppo.int/QUARANTINE/listA2.htm) do not exist.

For instance, direct sequencing and Northern blotting validations for endogenous small RNAs have been successful in identifying the majority of known miRNAs [26], [30], [31], [32], [33], [34], [35], [36], [37], [38].

Therefore, this threshold for automated vascular segmentation is appropriate for identifying the majority of arterial vessels in the fetoplacental tree.

Therefore, whilst CHWs are unable to physically examine community members, CHW training plus community awareness of the programme appears to be a feasible approach to identifying the majority of clinical hydrocoele cases.

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Similar(46)

Bioinformatic analysis identified the majority of candidate genes as members of the NBS-LRR family responsible for major gene resistance in plant species [ 29, 60- 64].

Risk factors and biomarkers have traditionally failed to identify the majority of preterm deliveries.

This makes it difficult to identify the majority of specimens collected in the field.

The assay was able to identify the majority of samples correctly as positive with CMV DNA concentrations above the limit of detection.

Overall, we conclude that the CSNT is not an effective tool for use in field-specific adaptive N management, primarily because it fails to identify the majority of cases with excessive or deficient N levels.

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