Sentence examples for optimal identification of from inspiring English sources

The aim of this paper is presentation of the substantial modification of MFM which enables optimal identification of parameter faults with minimization of time delay.

Botulinum toxin injection into the cricopharyngeus, either endoscopically or transcutaneously, has been reported in small case series to be of benefit in unspecified pharyngeal dysphagia.24, 25, 26, 27 Although these studies attempted to target cricopharyngeal disorders, optimal identification of failed cricopharyngeal relaxation (using EMG or even manometry) was not adopted in those studies.

Similarly, for optimal identification of the specific yield it is necessary to carry out the water balance study of the highest (peak) to the lowest (trough) water table.

For optimal identification of CNVs, we recommend the use of at least 5 normal genomic DNA samples as controls in each run, instead of using pooled genomic DNAs because CNVs in each individual of the pool will become averaged.

French hospital data allowed the satisfactory, though not optimal, identification of women who had GDM.

In contrast, samples from monkeypox-immune and vaccinia-immune persons were exposed to film for 5 s to 2 min for optimal identification of virus-specific banding patterns.

Finally, the optimal identification results of hydrometeor type can be obtained.

Improved diagnostic tools that are more sensitive and easier to perform are needed for optimal identification and treatment of the disease [ 2].

Because of the genetic heterogeneity of HTG, a family study design is optimal for identification of rare genetic variants with large effect size because the same mutation can be observed in many relatives and cosegregation with TG can be tested.

Considering our findings on ASA class and duration of surgery, and that arthroplasty is a clean procedure, the NNIS does not appear to be optimal for identification of patients who are at risk of infection after arthroplasty.

While most of these methods are not optimal for the identification of the "average" disorder, they are usually optimized on data sets that are very large and are not biased by current experimental means of capturing disorder.