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** Carbon compounds correlation plots **

** Contour plots correlation spectrum **

** Probability plot correlation detection **

** Two-dimensional correlation plots **

** Using isotope correlation diagrams and epsilon plots to recognize mixing processes **

Figure 4 Correlation plots of load versus number of cycles for the non-filtered (up) and filtered (bottom) AE data of a test at (Tna, = 80% a and R = 0.1... |

Viscosity Centipoises Gunness and Other Data Plotted Versus Reciprocal Viscosity in Maxweli. (Average viscosity of iiquid on the piates) Drickamer and Bradford Correlation Plotted in Ludwig. (Molal average viscosity of the feed)... [Pg.55]

[Pg.110]

For aromatic hydrocarbon radical anions, this approach works pretty well. Figure 2.7 shows a correlation plot of observed hyperfine splitting versus the spin density calculated from Hiickel MO theory. It also correctly predicts the negative sign of aH for protons attached to n systems. [Pg.27]

Figure 2.7 Correlation plot of observed coupling constant vs. computed spin density from Hilckel MO theory. See Table 2.1 for identification of points. |

Figure 20.6 Correlation plot of technical replicates of yeast cell extracts. Reproduced with permission from Reference 16. |

Figure 20.12 Correlation plots of 1990 versus 2002 FFPE leiomyomas (left) and 1990 FFPE leiomyomas versus a 1980 FFPE sarcoma (right). Reproduced with permission from Reference 22. |

Initiator decomposition studies of AIBN in supercritical C02 carried out by DeSimone et al. showed that there is kinetic deviation from the traditionally studied solvent systems.16 These studies indicated a measurable decrease in the thermal decomposition of AIBN in supercritical C02 over decomposition rates measured in benzene. Kirkwood correlation plots indicate that the slower rates in supercritical C02 emanate from the overall lower dielectric constant (e) of C02 relative to that ofbenzene. Similar studies have shown an analogous trend in the decomposition kinetics ofperfluoroalkyl acyl peroxides in liquid and supercritical C02.17 Rate decreases of as much as 30% have been seen compared to decomposition measured in 1,1,2-trichlorotrifluoroethane. These studies also served to show that while initiator decomposition is in general slower in supercritical C02, overall initiation is more efficient. Uv-visual studies incorporating radical scavengers concluded that primary geminate radicals formed during thermal decomposition in supercritical C02 are not hindered to the same extent by cage effects as are those in traditional solvents such as benzene. This effect noted in AIBN decomposition in C02 is ascribed to the substantially lower viscosity of supercritical C02 compared to that ofbenzene.18... [Pg.194]

Note d and d denote mean and mean absolute errors, respectively, relative to the experiment, m, c, and R2 denote the gradient, intercept, and correlation parameters, respectively, of the correlation plots, relative to the experiment. [Pg.548]

Figure 3 Graphical comparison of time profiles, in the original Fit) presentation (left) and a correlation plot (right). |

average correlation, plotted as f(C)- 1, shows that the square model starts initially with a small positive value and increases monotonously to the very large value of 37,348 at C -> < . On the other hand, the g(C) - 1 curve for the tetrahedral model starts from a very small value and reaches the value of about 21,058 at very high concentrations. Clearly, both of the Bis appear as positive cooperative, but with much stronger cooperativity for the square model, in apparent defiance of the density of interaction argument. [Pg.203]

Correlation plots for concentration data from Figure 11.11. (a) Total Se versus silica, (b) total Se versus phosphate, (c) selenite versus silioa, and (d) selenate versus phosphate. [Pg.284]

Correlation plots for the North Pacific Ocean concentration data from Figure 11.14 (a) zinc versus nitrate, phosphate, and silica, (b) cadmium versus nitrate, phosphate, and silica, (c) copper versus nitrate, phosphate, and silica, and (d) nickel versus nitrate, phosphate, and silica. [Pg.287]

Correlation Plot of Cohesive Energy Ratio for LAS Homolog Detergency of Mineral and the Experimental Soil Removal. [Pg.264]

** Carbon compounds correlation plots **

** Contour plots correlation spectrum **

** Probability plot correlation detection **

** Two-dimensional correlation plots **

** Using isotope correlation diagrams and epsilon plots to recognize mixing processes **

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