The observed non-parametric decrease during the task condition corresponds to previous findings [19], [22], [23].
Additionally, the instable regions of combination and principal parametric resonances decrease with increases in the biaxial compression, change of temperature, positive electric voltage and viscoelastic coefficient.
However, with the enhancement of gain-saturation the parametric gain decreases, the flat gain bandwidth becomes narrow and the noise figure also increases.
Furthermore, we show that, when designing new experiments to decrease parametric uncertainty, designs that optimize practical identifiability criteria are more informative than those that minimize sloppiness.
We performed whole-brain analyses to identify brain regions exhibiting parametric increases or decreases in BOLD signals while specifically tracking changes in the intradimensional difference and the unidimensional difference.
As a consequence, these parametric shaping functions, which decrease monotonically, can offer more flexibility to the shape of the muting curve than that of the reference muting curves [21, 22].
Then, contrasting these activation maps estimated before and after nonuse, we obtained statistical parametric maps of the decrease of motor responses (i.e. deactivation) after immobilization.
The amplitude of the oscillations produced by this mechanism can be decreased by parametric excitation.
McKiernan et al. [23], explained the non-parametric nature of the decrease during cognitive task performance by a "ceiling effect" for the moderate and difficult condition.
Area under the curve measures (both non-parametric pAUC and parametric A Z ) will also decrease towards their minimum values of.50 in either case.
