Sentence examples for variable transit from inspiring English sources

Relative accessibility measures are generated for five time periods based on a) constant transit service and number of jobs (constant); b) variable transit service and constant number of jobs (static) and c) variable transit service and variable number of jobs available (dynamic).

This produces slow and highly variable transit times in any cohort of signaling proteins that simultaneously leave the cell membrane.

However, Brownian motion will disperse messenger proteins throughout the cytosol resulting in slow and highly variable transit times.

However, we note that Brownian motion will disperse messenger proteins throughout the cytosol resulting in slow and highly variable transit times.

Moreover, the short-half lives and blood levels of cytokines are variable, transit and non-specific so that their measurement might not be viable and effective way of monitoring the efficacy of therapeutic agent.

The dynamic ASL data were fitted voxel-by-voxel to a dual compartment perfusion model, which takes into account variable transit times, bolus durations, distributed concentrations of capillary water and restricted brain-blood barrier permeability.

This is an oversimplification and in this review we discuss the effect of the highly variable gastrointestinal transit on the bioperformance of multiple-unit dosage forms, relative to their single-unit counterparts.

Space radiation includes variable in-transit energies such as electromagnetic waves or high-energy particles (Figure 1a 1,2,3, and is classified as either ionizing or non-ionizing.

(4) Some operational variables (e.g., transit fare and cruise speed) can also be optimized by a modified model at various times instead of keeping them fixed.

If the number of observed satellites is smaller than that of the unknown independent parameters in the data processing, extended Kalman filter (EKF) methods will usually be employed to transit the variable values epoch by epoch.

The methodology described in this paper includes a representation of transit network variable search spaces (route network, headway, and timetable); a user cost function based on passenger random arrival times, route network, vehicle headways, and timetables; and a metaheuristic search scheme that combines simulated annealing, tabu, and greedy search methods.