Sentence examples for removal of error from inspiring English sources

Exact(1)

This includes the removal of "error" data points and dehydration stage from original TGA data, transformation of TGA data to conversion data, differentiation of conversion data and smoothing of derivative conversion data, interpolation of conversion and derivative conversion data, isoconversional calculations, and reconstruction of kinetic process.

Similar(59)

MMR proteins are involved in the removal of errors made in DNA replication that have escaped the proof reading activity of DNA polymerase (reviewed in [20]).

Consequently, they can be used as an effective method for the removal of errors during gene synthesis.

This partitioning of variance allows the removal of systematic error (which in the case of metabolomics data may easily arise from systematic or random error at various steps of the sample preparation or analysis) that may interfere with the regression of the response variable, hence the method's suitability to metabolomics data analysis.

The removal of this error in modern multiscale algorithms still remains an important open problem.

Firstly, a plate fixed with solid pellet-shaped abrasives is used for rapid removal of surface error and initial smoothing.

Similar results as shown for lambda DNA were obtained for removal of PCR error products from products of PCR amplification of a 1.1 kbp D-alanine-D-alanine ligase A gene from E.coli genomic DNA (data shown in Figure S1).

As shown above, removal of the error requires an increase of A r to at least guarantee that C 2 N (H) ≥ ε.

In this study, we have developed a system of HRM analysis as follows: cost-cutting with fluorescent intercalator; SYTO 9, introduction of the nested PCR for precision enhancement and avoidance of variability, speed-up with 384 samples treatment in a single experiment, and high uniformity of dispensed volume and removal of human error by using the automatic dispense device.

Potential advantages of continuous glucose monitors include the ability to observe trends in blood glucose concentration and to intervene before the blood glucose concentration enters an unacceptable range, and removal of operator error both in the timing of blood glucose measurements and in the sampling and analysis of blood.

The negative effects of the less frequent gross errors are eliminated with the implementation of the Welsch robust estimator, avoiding the computation of biased estimates and implementation of iterative procedures for detection and removal of gross errors.

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