Sentence examples for by positive testing of from inspiring English sources

Additional anesthetic was given when animals start to gain consciousness as assessed by positive testing of paw reflex.

Those who have a positive test of cure by PCR at day 28, 42 or 56 will be asked to return to the clinic for further treatment of doxycycline 100 mg twice daily for ten days.

Encouraged by the positive test results of a 1.5-m long prototype tri-axial cable, the Southwire/ORNL team has conceived, designed and built a 5-m tri-axial cable with three-phase terminations.

Pregnancy rates (confirmed by positive hCG test) of 48.1 and 46.9% were achieved in the corifollitropin alfa and rFSH groups, respectively, followed by a comparable number of early pregnancy losses during the first 10 weeks after embryo transfer.

The ROC curves can be plotted subsequently by comparing the E-values of positive testing samples and those of negative testing samples.

Forensic Science South Australia carries out the confirmatory analysis by LC/MS for the positive test results of oral fluid roadside testing along with the pre-screened ELISA positive road traffic accident blood samples.

But even those relatively modest prospects have been dimmed significantly by a positive test for an elevated level of testosterone after Landis's extraordinary performance in the Alps last week in Stage 17 of the Tour.

We estimated parasitemia prevalence by dividing the number of positive test outcomes by the number of tests administered, assuming that all individuals to be at risk for infection.

Syphilis cases are defined by positive diagnostic tests, history of sexual risk, and characteristic clinical manifestations [ 13].

The BJSM study, based on information volunteered by athletes and medical teams as well as drugs tests, does not identify those who tested positive or their nationalities but does include a sport-by-sport breakdown of positive tests.

However, test results varied by study nurse; positive test results for each of the three nurses were 16/22 (72.7%), 4/4(100%) and 66/72 (91.6%) respectively; the difference between nurse 1 and 3 of almost 20% was statistically significant (p value 0.01).