Sentence examples for and quantitative test of from inspiring English sources

Thus, the measurement of intrarenal 99mTc-MAG3 kinetics provides a minimally invasive, simple, and quantitative test of renal function, which does not require blood or urine sampling.

Without a more formal and quantitative test of the model, it is likely premature to conclude whether most cases of speciation support it.

First, students examine cause and effect through careful crafting and quantitative testing of a hypothesis for how multicellularity affects susceptibility to rotifer predation.

The primary objectives of this study were to explore the pain experience after gynecologic laparoscopy that is performed for nonacute pain conditions and to determine whether preoperative psychologic tests and quantitative tests of sensitization can predict postoperative pain.

It is important to develop more thorough and quantitative tests of impairment which in their greater complexity more accurately reflect the conditions and environmental demands of day-to-day life.

In Germany, a guidance document was published suggesting the comparative and quantitative testing of ingredients in research cigarettes with and without the ingredient, which may include a series of in vitro tests that may be supplemented by chemical analyses and in vivo testing (Deutsches Institut für Normung - Working Group Toxicology of Additives, 2004; Hahn and Schaub, 2010).

A stronger and more quantitative test of the mechanistic independence is to ask if the kinetics of one pathway are altered by blocking or accelerating the other.

It is recognized that a more systematic investigation will require independent assessment and a quantitative test of inter-rater reliability.

The kinetics of ferrite growth in three Fe C Mn Si quaternary alloys has been measured using controlled decarburization tests at four temperatures between 755 °C and 825 °C, and a critical, quantitative test of the existence of a coupled solute drag effect (CSDE) is performed.

Given our expectation of heterogeneity between studies, we used a random effects model to assess the data and performed a standard quantitative test of heterogeneity: the I statistic, which describes the percentage of total variation across studies that is attributable to heterogeneity rather than chance alone.

The results of subjective and quantitative tests prove the performance of the proposed algorithm in contrast improvement.