Sentence examples for slower variability from inspiring English sources

Exact(2)

These results by earlier studies suggest that the interdecadal or slower variability in ENSO is associated with the long-term change in the seasonal march pattern of rainfall for the period of 1951 2012.

Thus, to clarify its relation with the interdecadal or slower variability in ENSO, it will be essential to study the relationship between the longer term variability in the seasonal march of rainfall and the slower modulation of air sea interactions over the tropics.

Similar(58)

Slow variability, which has a slow temporal characteristic, can be differentiated from fast variability, which has a fast moment-to-moment temporal characteristic.

This time-lag similarity is due in part to the slow variability of the water table, which fluctuates in height on time scales of weeks.

Recent studies by Johnson et al suggest that changes in slow variability may reflect alterations in arousal, while changes in fast variability may reflect fluctuations in the control of vigilant attention [ 38- 40].

By contrast the slower intercellular variability in the onset times for AI response and in the overall luminescence output is more suggestive of extrinsic noise originating in the variable concentrations of cellular components such as ribosomes, polymerases, or in different stages in the growth cycle, etc. [34].

For instance, the variance of a given participant can be made up of a continuous slowing down of the reaction time over the length of the task (slow frequency variability - SFV), and the quick changes occurring on a moment to moment basis (fast frequency variability - FFV).

However, assuming a slow time variability, a is treated as a constant for the moment.

First, children with ADHD did not perform sequences of arm movements as one functional unit, but were slower, showed greater variability in movement timing, and demonstrated longer inter-segment intervals than children without ADHD, who appeared to program the entire arm movements and executed the sequence as one functional unit that was temporally coordinated [ 4].

Table 9 Important features in the prediction of valence and arousal Valence Arousal Chroma Slow tempo Percussiveness variability across bands Loudness Measure on ratio fast and slow tempos Chroma eccentricity Modulation spectrum Fast tempo Harmonic strangeness Spectral tilt.

When people clap fast, Dr. Barabasi said, there is a wide range of rates; when they slow down, the variability all but disappears.

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