Sentence examples for ability of three from inspiring English sources

Suggestions(1)

The phrase "ability of three" is grammatically correct and can be used in written English.
It can be used when discussing a specific capability or skill associated with the number three, possibly in a context involving teamwork, collaboration, or a set of three elements.
Example: "The ability of three to work together effectively can lead to innovative solutions that a single individual might not achieve."
Alternatives: "capacity of three" or "skill set of three".

Exact(60)

This chapter discusses the predictive ability of three different modeling approaches for turbulent precipitation reactors.

This study examined the ability of three mathematical model structures to describe two distinct mechanisms of SMP production.

The ability of three different wire fixator designs to maintain wire tension under dynamic loading is described.

The ability of three different crystal plasticity finite element models to predict deformation textures in face-centered cubic metals observed in experiments is assessed.

This article concentrates on the evaluation of the strength predictive ability of three of the latest bearing models having an empirical, semi-empirical or physical background.

To compare the predictive ability of three risk stratification tools used to assess patients presenting to the ED with potential acute coronary syndrome.

We tested the ability of three different ERI profile configurations (Dipole-dipole, Wenner and Wenner Schlumberger) to measure a correct two-dimensional profile.

To compare the ability of three modelling approaches to resolve the muscle and joint forces in a lumbar spine model during dynamic sagittal plane lifting.

Drawing on previous studies, which showed that juvenile salmon "imprint" on odors associated with their native streams, the team tested the homing ability of three species of reef fish living on five closely spaced reefs of Australia's Great Barrier Reef.

We used a statistical learning framework to evaluate the ability of three machine-learning methods to predict nitrate concentration in shallow groundwater of the Central Valley, California: boosted regression trees (BRT), artificial neural networks (ANN), and Bayesian networks (BN).

This paper describes the ability of three natural geologic materials (i.e., pumiceous tuffs, partly-weathered volcanic ashes and coastal marine sediments) to sequester As and B from aqueous solutions and the actual leachate of a hydrothermally altered rock.

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