Sentence examples for a model of randomly from inspiring English sources

In the present study, we used PV automaticity as a model of unambiguous proof of entry block and a model of randomly applied spontaneous premature stimuli to the PV to determine unidirectional block at the LA PV junction.

We hypothesized that PV automaticity can be regarded as a valid model of unambiguous proof of entry block and a model of randomly applied spontaneous premature stimuli to the PV to determine residual PV LA exit conduction.

A small mass (called the ball) constrained to move along a slot of fixed length in a large mass which is vibrating randomly in the direction of the slot is taken as a model of a randomly driven vibroimpact system.

These explanations were the result of a computational model of randomly packed particles of AP, aluminum and catalyst generated for a propellant with 1% catalyst.

Note that we do not use a conventional model of randomly shuffled sequences as the control.

Furthermore, based on a microstructural model of randomly-packed SDC/LNC composite particles and the Maxwell-Garnet mixture rule, the protonic and oxide ionic conductivities of the interface layer was successfully found to reach as high as 97 mS/cm and 46 mS/cm at 650 °C, respectively, through a non-linear least-squares data analysis.

The parameterization of all cases mentioned in this paper corresponds to a model of N = 100 agents randomly distributed in a regular lattice of 2-dimensional grid of 10×10 cells, each one keeping one of the N agents.

To investigate this question, Goto-Kakizaki rats (a model of type II diabetes) were randomly assigned to a 9-week running program (train) or sedentary (sed) groups.

One novel model of randomly distributed network is presented to fulfill this requirement.

All host gene clusters display a significantly higher functional similarity to their predicted target genes as compared to the null model of randomly chosen target genes (p < 0.01, after Bonferroni-correction). Comparing the similarity scores derived from the positively and negatively correlated target genes showed no significant differences between the two distributions.

For this reason, we extract a line descriptor from a model of line segment that links two randomly selected feature points.