Sentence examples for data treatment method from inspiring English sources

Applying this data treatment method enabled the detection of anisotropy peaks for individual Aβ aggregate fluorescence peaks that were not observed prior to the data treatment method.

A data treatment method is presented to detect fluorescence anisotropy (FA) peaks in capillary electrophoresis electropherograms.

The data treatment method converts plots of fluorescence anisotropy vs. time that contain no peaks that are distinguishable from the noise of the anisotropy background into plots that show distinct fluorescence anisotropy peaks.

The data treatment method is not specifically designed for Aβ aggregate analysis or capillary electrophoresis, and it should be applicable to other applications and other separation methods with FA detection.

We will present correlations between the scores from the same scoring method, but generated under different data treatments, with scores from the original untreated data to demonstrate how much participant-level values change as a function of data treatment method.

Several studies [ 25, 26] indicated that it is difficult to resolve the relationships among the basal arthropod lineages using mitogenomic data alone because the relationships inferred by such data are highly influenced by the choice of the outgroup, data treatment method, and genes.

Considering about the disadvantage of measured settlement data treatment methods on tanks in current standards, an optimization method of curve fitting on the measured settlement data is presented.

A simplified data-treatment method on the nucleation half-time has been proposed.

Table 7 shows comparison of data of treatment method, BET surface area and iodine number obtained in the present study with other literature reported values for different adsorbents.

A sample of type II diabetes patients (N = 172) completed the DTSQ status version, the SF-36 health survey and also provided data regarding treatment method, clinical and socio-demographic status.

It also can transform the relationship between pharmaceutical companies and clinicians/hospitals. Instead of being just suppliers, drug companies can become more integral to patient care, benchmarking outcomes for different providers and sharing data on treatment methods.