Sentence examples for characterized by a coefficient of from inspiring English sources

Exact(4)

Intra-assay and inter-assay precision was characterized by a coefficient of variation of less than 10% and accuracy was within 8%.

In the presence of small amounts of clay (Cc< 5%%), the scour depth depends directly on KC (as confirmed by many literature works for pipelines lying on sandy soils, e.g. [18]) and inversely on Cc (as already seen for bridge abutments on cohesive soils, e.g. [1]), the best-fit law being characterized by a coefficient of determination R2 = 0.62.

The result of the GWR model for croplands is valid with a goodness of fit characterized by a coefficient of determination (adjusted r2) of 0.73.

Analytical precision, characterized by a coefficient of variation percentage of less than 2.5 at the higher anti-Xa levels, is adequate to detect relevant accumulation in plasma if present.

Similar(54)

As a result, variation across v l can be characterized by defining a coefficient of variation CV = standard deviation mean = σ v = (α v - 2 ) − 1 2.

The binding of the two TtgR dimers to the operator was characterized by a Hill coefficient of 1.63 ± 0.13 (kD = 18.2( ± 6.3) μM, kD′ = 0.91( ± 0.49) μM), indicating positive cooperativity.

Relative to WT HbI, F97Y HbI has reduced cooperativity, characterized by a Hill coefficient of 1.1.

Validation of the pharmacophore using an external test set of drugs showed that our model exhibits predictive performance characterized by a Matthews Correlation Coefficient of 0.60 and sensitivity and specificity of 75%and85%5%, respectively.

Validation by Coppola et al. (2009 2010 201313) indicates that the eruptions of Piton de la Fournaise are characterized by a best-fit coefficient of between 1.4 × 108 and 2.9 × 108 J m−3.

Assuming that only the Au+ ions undergo Brownian motion, characterized by a diffusion coefficient D, then the volume growth of the seed particles is ∂ t V = j VAu0, i. e., the ion flux j times the partial volume increase per ion (rAu0 = 0.144 nm), which yields r d r = VAu0 Dc ∞ d t.

The beamformer is characterized by a set of coefficients that are the solutions to a constrained minimization problem, ensuring that the beamformer passes activity from a given voxel while maximally suppressing activity from all other brain areas.

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