"difference is quantified" is a grammatically correct phrase that can be used in written English.
It is typically used to describe the act of measuring or expressing the amount of variation between two or more things. Example: The study found that the difference in test scores between the two groups is quantified by a three-point margin.
The results show clearly that groups of droplets behave differently than single droplets, and this difference is quantified with both local and global calculations of the droplet flow, heat, and mass transfer processes.
The difference is quantified in Figure 5(C), which shows proton leak through UCP3, expressed as the difference between rates in skeletal muscle mitochondria from WT and Ucp3KO mice at 169 mV.
This difference is quantified by the p-value, which is the fraction of shuffled sequences with MFE lower than original precursors; a candidate with p-value ≤0.05 can be statistically considered as stable.
This difference is quantified as the number of significantly differentially expressed genes in the high contrast experiment at a certain false discovery rate (FDR) estimated using the self-self experiments as a null distribution.
This difference is quantified by the learning index (LI) as (3) Here, PREFAM+/OCT is the AM preference of the AM+/OCT group and PREFAM/OCT+ is that of the reciprocally trained AM/OCT+ group.
The difference was quantified easily enough: students in other industrialized nations were taking a far more rigorous academic program than were typical Americans.
Internal motions induced by the external shear flow and internal density difference were quantified.
This difference was quantified using the interlocus g statistic [65] and significance was tested using the fifth-percentile cutoffs of Reich et al. [66].
This difference was quantified by selecting a defined area corresponding to nucleus of neurons and by calculating the imageJ parameter 'RawIntDen' (that is the sum of the values of the pixels in the selected area) in WT and KO neurons.
The pattern of random differences was quantified using the variable of relative rank variance (RV).
These differences were quantified by constructing distributions describing the probability of outgrowth for a defined range of surface curvatures.
