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In this work, we develop a mean-density model of ionic surfactants to simplify the calculation of interaction forces between CNTs stabilized by ionic surfactants.
In this work, using simulated RO Total Electron Content TECC) data computed by means of the NeQuick2 ionospheric electron density model and ideal RO geometries, we tried to formulate and evaluate an asymmetry level index for quasi-horizontal TEC observations.
Overall, the population level model explained about 56%% of the variation in mean density.
The RMS-about-mean reflects hight-frequency density fluctuations that are not captured by the density model, but are observed by the accelerome-ters.
A generalized linear model (GLM) was used to determine the contribution to the covariance of predation and fragmentation on mean density and the strength of the coefficients of direct and delayed density dependence (i.e., (1+ b1) and b2).
In the first case, by overlapping our model into the cryo-EM electron density map while changing the contour level to a value closer to the mean density (σ = 0) we were able to obtain a good fitting with the electron density, in better agreement than the previous homology models built using P-gp as a template50,51.
092 R J yielding a mean density of 4.
058 R J yielding a mean density of 2.
056 R J yielding a mean density of 0.
033 R J yielding a mean density of 13.
090 R J yielding a mean density of 1.
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