The variation of terms of the correlation as a function of characteristic length and concentration was studied.
Overall, the strength of the correlation is a function of the depth of sequencing as evidenced by the decrease in values for G1_M (52 X) compared to I1_M (74 X).
The correlation is a function of migration rates between local communities and between local and metacommunity.
With six universal coefficients, the correlation is a function of temperature and a similarity variable, α, which is proportional to the number of atoms per unit mass.
We attempted to gain some insight into whether the mechanisms involved in growth at the lower and higher temperature ranges were the same by analyzing the strength of the correlations as a function of temperature for the strain set studied here.
To refine our understanding of how the variability of anthropogenic sources impacts the correlations, we estimate the variability of the correlation waveform as a function of the local time of the day, restricting the analysis to weekdays (Monday to Friday).
Notably, the strength of the correlation decreased as a function of distance from one imaging location to another, as would be expected.
Figure 9 Trend of the correlation parameters as a function of the delay between measures performed by sensor 8 and macroclima: a) Pearson's coefficient of determination, r2; b) variance of post-fit residue; c) residues sum of squares (RSS); d) root mean square deviations on residue (RMSD).
The projections of the protein folding pathway onto the eigenvectors corresponding to the three largest eigenvalues of the correlation matrix, as a function of the time step index j, are shown in Figure 5.
The model takes input from first-principles calculations of the dislocation/solute interaction energy and evaluates the solute strengthening due to fluctuations in solute concentration, taking into account the correlation of these fluctuations as a function of dislocation roughening.
