The variance can be used to calculate the Fano factor (variance of fluctuations divided by the mean concentration) and the coefficient of variation (standard deviation of fluctuations divided by the mean concentration) [ 32].
Velocity fluctuations are found to be strongly dependent on the wave phase; variations of these fluctuations are explained by the pressure strain correlation associated with the wave-induced strain field.
The orientational variations of residue fluctuations along the hinge axes in mutant structures justify the existence of coevolution in p1-p6 and NC-p1 substrates, that is, the dynamic behavior of hinge residues should contribute to the interdependent nature of substrate recognition.
Despite of the continuous four-lobe azimuthal variations of theoretical amplitude fluctuations, observed fluctuations are scattered around the theoretical ones.
The analysis indicates sharp variations in the intensity of fluctuations when the system undergoing critical slowing down is disturbed by random noise.
The residues that display the maximum variations between the directions of fluctuations can also be visualized on the structures in Fig. 3, as color coded according to the change in the correlation values of p1-p6D30N/N88D (Fig. 3B, E) and LP1′Fp1-p6D30N/N88D (Fig. 3C, F) compared to p1-p6WT.
The structures in Fig. 4 display the residues that exhibit the maximum variations between the directions of fluctuations, as color coded according to the change in the correlation values of NC-p1V82A (Fig. 4B, E) and AP2VNC-p1V82A (Fig. 4C, F) compared to NC-p1WT.
Via the fractional factorial design, the significant noise factors are obtained, viz, variations of tube properties, fluctuations of tube geometries and friction.
This technique is expected to provide information about changes that could occur inside the reservoir due to geothermal activities (relative displacement of scatterers induced by pressure variations, thermal fluctuations, variations of the fluid content, etc).
This paper presents an adaptive path planner for unmanned aerial vehicles (UAVs) to adapt a real-time path search procedure to variations and fluctuations of UAVs' relevant performances, with respect to sensory capability, maneuverability, and flight velocity limit.
