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This procedure is repeated over different time scales and then the slope of the curve (α exponent) can be estimated on the log-log plot of fluctuations versus box sizes.
Figure 3d shows log log plot of fluctuations F(L) from a single cell, under control conditions and in the presence of 100 nM Big Dyn versus the time window L for time series shown in Figure 3a.
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Figure 4 shows the plot of the fluctuation of the quantity of particles (sample size) against time.
An rmsf plot of the fluctuation of each residue during the full simulation shows that core helix (CH) domains 1, 4, and 5 (along with smaller H/D helical domains 2 and 3) are more stable than most of the remainder of the model.
Figure 7b,c shows the plots of the fluctuations of DIBL (σDIBL) and SS (σSS) versus the fin angle, respectively.
We used the nonparametric Loess plot in the Axum 7 software package (MathSoft Engineering and Education, Inc., Cambridge, Massachusetts) to identify slope changes and smooth the scatter plots of annual fluctuations in pup weaning mass, female foraging duration and female mass gain [ 44].
A plot of cutting force fluctuations versus the cutting depth follows a sigmoidal curve.
Plot of the average fluctuations F ( n ) against box size n for IAIs from simulations with α = w = 1, h = 1 / N and N = 800 (a), N = 3200 (b) and N = 172, 800 (c).
Figure 7b is the contour plot of the distance fluctuations.
These residues interact with all residues of the protein, referring to the contour plot of the distance fluctuations given in Figure 9b.
Figure 1b is the contour plot of the distance fluctuations where the residues that exchange energy with the surroundings are identified with a darker hue.
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CEO of Professional Science Editing for Scientists @ prosciediting.com