Sentence examples for strength of correction from inspiring English sources
They indicate the strength of correction needed for that particular eye or, if OU is listed, both eyes.
Due to the small relative strength of the correction, the experimental realization of the geometric phase gate would require extraordinary precision.
This is followed by the proposal of an optimised version of the method, wherein the strength of the correction term in the momentum balance and energy equations is optimised.
Both, the maximum radius for neighbour W columns and the strength of synapses corrections, decay as the learning advances.
Apologies; the error does not appear in the online version.In this section The good, the bad and the ugly Intangible measures Flying in formation In the aftermath Misconceived Once more unto the branch Stirring the melting pot Trial of strength Doublespeak Correction: Flooding in Britain Reprints Related items Inundations: Double delugeJul 26th 2007.
where t is the correction strength of the ECC, and BER represents the raw error rate after applying circuit-level techniques.
The distinguishing strength of democracy is self-correction – that no matter how bad things get, the public in partnership with a free press can detect and correct mistakes of public officials.
Instead, the accuracy of the strength correction factors is determined by a weighted regression analysis of ratios of observed-to-predicted values which accounts for the non-uniform variances of the dependent and independent variables.
Although none of the detected P-values were below the genome-wide significance level of 1.26 × 10−7 after Bonferroni correction, the strength of some detected associations was close to this level.
It is shown that confidence intervals on the estimates of the strength correction factors obtained by regression analysis underestimate the true model error because the underlying models are imperfect.
We simply draw attention to problems surrounding the quality of primary data, the legitimacy of corrections, and the strength of conclusions drawn from them, urging caution about questions where high precision is needed.
