Sentence examples for operational specificity from inspiring English sources

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The proved fact that the input cognitive systems have an operational specificity, and that the intellectual resources are based on operations (not on information) justifies this approach.

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This adsorption type offers several advantages such as simplest operational procedure, specificity of the substrate and maintainability of the enzymes activity, low cost operation, and ease of solid support regeneration.

In the characterization studies of the biosensor some parameters such as reproducibility, substrate specificity, operational stability, determination of phosphate, and interference effects of some compounds on the pyruvate determination were investigated.

To help achieve a new milestone in biosensing applications, great potential of this emerging technique is described further with regard to sensitivity, specificity, operational convenience, and versatility.

This increase requires enzyme optimization in order to achieve, together or separately, greater operational stability, better specificity, increased solubility or preferential enantioselectivity.

The original aminoacylated RNAs, described up to this point as 'hairpins', may have actually constituted a mixed population of molecules, having in common only the presence of an acceptor stem-like helix (containing nucleotides of the operational RNA code conferring specificity of aminoacylation) and a 3' CCA terminus allowing specific aminoacylation.

However the specificity and operational complexity limit the microchip applied in nucleic acids detection.

All currently accepted methods for enteric fever diagnosis lack reproducibility and exhibit inacceptable sensitivity and specificity under operational conditions (Moore et al., 2014; Parry et al., 2011b).

Because of the lack of a gold standard for current MDS, operational characteristics (sensitivity and specificity) were not calculated, but the percentages of overlap between both measures were calculated.

Nanospray MS Poisson detection focuses on efficient ionization, reduced surface losses, high operational duty cycle, detection specificity through two MS selection stages, and a probabilistic algorithm for pattern recognition.

Microfluidic biosensors combine the advantages of fluidic microsystems, such as low cost, short analysis time, less consumption of sample and reagents, and portability, with the advantages of biosensors such as selectivity, moderate operational potentials, high sensitivity, specificity, and easiness to be miniaturized and integrated [ 3, 6, 9, 10].

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