Sentence examples for secondary quantities from inspiring English sources

Relative and absolute lengths of villi and capillaries were also estimated and used to derive secondary quantities related to villous capillarization and maturation.

Fluids 8 (1965) 2182 2189] introduced a discretization method for the incompressible Navier Stokes equations conserving the secondary quantities kinetic energy and vorticity, besides the primary quantities mass and momentum.

In other fields of mathematics, such as graph theory and linear systems analysis, it has proven useful to complement primal network model designs in terms of vertices (pools) and edges (processes) with dual designs, where the roles of the primary and secondary quantities are interchanged.

StatSport's Apex Pro and Apex Athlete series are a pod and vest system that can track the position of the players in real-time, as well as derive secondary quantities such as total distance, speed, high metabolic load distance, accelerations, fatigue index, dynamic stress load, step balance and collisions.

All along, Ryan continued to praise Milliner's future, and in South Florida Milliner became the full fedora, intercepting two passes while inflecting the afternoon with frequent waggles of his finger, abundant woofing, and other expressions of that crucial secondary quantity known as "swag".

Alternatively, due to the different relative abundance of TE classes, the secondary quantity of LTR retrotransposons in An. gambiae may, at least partially, explain the lower percentage of TE-mapping piRNAs.

Limitations of the model reduction method in predicting secondary (derived) quantities are discussed.

Strain is a secondary physical quantity whose variation varies depending on the elastic coefficient of the medium, and it can yield potentially valuable information as well.

In secondary distribution, smaller quantities are transported from terminals (or depots) to the customer (usually by road).

Secondary outcomes include; quantity and frequency of alcohol consumed, alcohol-related problems, motivation to change, health related quality of life and service utilisation.

The model consists of 30 independent recurrent neural networks and uses predicted quantities of secondary structure elements and residue solvent accessibility as an input vector.