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Results can be summarized as follows: First, average irregularity of the EEG signal increased with age, paralleled by a reduction in variability.
In particular, there is an immediate reduction in variability of gait step parameters and whole body stability, as well as a decrease in lower limb muscle activity.
Presumably, this reduction in variability was due to the use of retinal and extra-retinal information about the relative positions of the eye, hand and target.
For most study basins, precipitation exhibits higher low-frequency oscillations than that of streamflow primarily due to reduction in variability by basin storage.
Time series analysis of sequential movement repetitions showed an immediate reduction in variability of arm kinematics during rhythmic entrainment within the first two to three repetitions of each trial.
There was also a reduction in variability.
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In the clinical trial setting, even modest reductions in variability can translate to tangible savings in money, time, and patient enrollment.
As shown in our analysis, this leads to further reductions in variability which may result in artificially inflated effect sizes, sometimes even in the direction opposite to that of the raw VT values [5].
Enhancing insulin self-association and reversible binding with albumin has led to further reductions in variability.
Corticostriatal plasticity was required for the reduction in frequency variability, but not for variability in sequence duration.
It strongly correlates with the reduction in glycemic variability, which is clinically relevant since glycemic variability is widely recognized as the main limiting factor in obtaining and maintaining optimal HbA1c with intensive insulin therapy in type 1 diabetic patients (17).
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