Sentence examples for varying detection from inspiring English sources

Seven nitrosamines were detected with varying detection frequency in the analyzed samples, of which five of them (NMEA, NDPA, NDBA, NPIP, and NDPhA) are reported here for the first time in biosolids.

Primer sets to ORFK9, ORF26 and ORF72 regions detected all of the positive cases, whereas other primer sets showed varying detection rates or nonspecific bands.

In Figure 6, the time varying detection performance is shown with the node mobility algorithms presented in the paper.

To correct for varying detection efficiency at different positions of the delay line anodes, the detector was homogeneously illuminated using an 241Am α-source.

In this sense, the overall stability of the estimator depends directly on the choice of c ij (t): the better the coefficients c ij (t) follow the essentially time varying detection probabilities, expressed through the importance of the nodes, the closer the whole system is to stability.

Several reports are there in literature for PRG determination based on chromatographic methods, i.e., gas chromatography-mass spectrophotometry (GC-MS), LC-MS-MS [3, 4], HPLC [5 7] coupled with varying detection techniques like tandem mass spectrometry [8], fluorometry [9] and enantiospecific analysis [10].

Avidin-biotin conjugation gives easy control of the number of detection probes per bead; thus allowing for systematic investigation of the impact of varying the detection probe surface coverage upon bead immobilization in rolling circle amplified DNA-coils.

The C-ROC curve is the plot between and by varying the detection threshold.

It is shown that such an approach leads to the simple varying delay detection and random delay identification algorithms based on ordinary recurrent estimation technique.

Other factors that were considered included sample changing, light tightness, type of photo detector, method for varying the detection efficiency, shielding and the possible addition of an internal gamma-ray source for determination of the quench parameter of the source.

A non-Bayesian procedure that corrects such temporally varying incomplete detection of earthquakes can be found in Marsan and Enescu (2012), where they assumed that the b-value is constant and that the occurrence rate of earthquakes follows the Omori Utsu formula or the ETAS model.