Sentence examples for quantitative equation from inspiring English sources

RSM was used to develop deeper understanding of the process parameters and inaugurate a quantitative equation between the electrospinning process parameters and beads number (Gu and Ren 2005).

A quantitative equation with good fitness and strong predictability had been established, which correlated the structure of C1-bridged Zirconium metallocenes to their catalytic activity in a direct and clear way.

We designed INDIGO® indicators with all available scientific and expert knowledge which was aggregated into expert systems associating fuzzy subsets or, when possible, quantitative equations.

Quantitative equations describing age-dependent alterations in GFR have been previously published and can incorporated into the above equation.

Quantitative equations characterizing age-dependent concentrations of binding protein have been reported by McNamara and Alcorn and can be incorporated to compute fraction unbound within the pediatric PBPK model.

It may be surprising to notice how hard it was for Dutrochet to explain the phenomena that he observed, but this has to be considered in its context: Diffusion was qualitatively described by Graham in the 1830s and Fick did not provide his quantitative equations for diffusion until 1855 [ 46, 47].

The average growth rate of suspended seed crystals correlated relatively well with the degree of supersaturation to obtain the quantitative correlation equation.

For estimation of repairing number and cost in the view of engineering, a quantitative governing equation containing design parameters, mix conditions, and exterior conditions should be determined in advance.

Through analyzing the change of fluorescence intensity of protein chromophores caused by complexation, a quantitative mathematical equation has been established and the average number of bound proteins per neutral polymer (nb) can be calculated accurately without destroying the dynamic equilibrium of aqueous complex system.

Odefy [ 13] converts discrete Boolean networks into quantitative differential equation systems by applying Hill-type rate laws [ 14] to each transition.

We present SQUID, a method for system identification in which the space of potential models is defined by a semi-quantitative differential equation (SQDE): qualitative and monotonic function constraints as well as numerical intervals and functional envelopes bound the set of possible models.