Sentence examples for the total fluctuations from inspiring English sources

Generally, the results show that the variances of all company stock returns are mainly driven by oil price innovations starting from period 2 to 20, and the total fluctuations for each period increases for each firm except for BECO, with a constant value in periods 3 through 20 (see Appendix 4).

The variance decomposition reveals that the variances in all companies' stock returns are driven mainly by oil price innovations starting from period 2 to 20, and the total fluctuations for each period increases for each firm except BECO, which maintained a constant value in periods 3 through 20.

The multiple timescales of fluctuations in excitability are meant to mimic the different sources of noise in the nervous system, and we assume that each timescale contributes equally to the total fluctuations in excitability.

This indicates that the main contribution to the total fluctuations within a large range of diffusion values is the transcriptional noise.

Stochastic variability was prevalent close the liner wall and throughout the combustor domain after the swirling jet impinged on the wall, with <20% of the total fluctuation attributed to coherent structures.

Over 30% of the total fluctuation (difference between instantaneous and time-averaged velocity fields) kinetic energy was attributed to coherent structures throughout the inner shear layer between the swirling jet exiting the nozzle and the CRZ.

The results indicate that the first two PCA modes with the largest eigenvalues contribute about 66% of the total fluctuation in the protein.

The total fluctuation power ((P_{rm trace} = P_{rm perp} + P_{rm para})) shows a power law with an index close to (-5/3) up to (7 times 10^{-2},mandrm{Hz}) and breaks into a steeper spectrum at higher frequencies.

The fraction of the total fluctuation during this initial time interval contributed by the eigenvector that had the highest corresponding eigenvalue describes up to 33% of the overall fluctuations for TM7−HX8, at least twice as much as any other eigenvector.

As can be seen in Fig. 9B the fluctuations within each layer are much more pronounced than the total intensity fluctuations (c.f. black line in Fig. 9B).

This tool is an efficient implementation of the recently developed DM-REPEAT method, where the stability of the resulting charges, over a large set of fitting regions, is obtained through the simultaneous fit of multiple electrostatic potential (ESP) configurations together with the total dipole fluctuations (TDF).