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Altered diffusion parameters are depicted in Figure 2. Figure 2 Alteration of the diffusion parameters in the affected area.
The expectation and standard deviation of ICI with different system parameters are depicted in Figure 6 and Figure 7, respectively.
Theoretical values of for various oversubtraction parameters are depicted in Figure 13. Figure 13(a) shows that the output kurtosis after chSS+BF is always less than that after BF+SS for a Gaussian signal, even if is nonzero.
Scatter plot of the observations generated on the preconstructed training sets and their separating boundaries for the UBIRIS and CASIA Ver.1 using the optimal parameters are depicted in Figure 6.
Such an UA and RCA with the aforementioned parameters are depicted in Figure 4. Figure 3 Flow diagram of the algorithm to set the RCA's radius r. Figure 4 Visual representation of an SN's transmission RCA with respect to the UA of a PA.
The correlations between YEthanol-Process and these parameters are depicted in Figure 4.
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The histogram of the resulting values and the plot of the Equation (3) for the three sets of parameters is depicted in Figure 4.
The fitting parameters are depicted in the figure.
All parameters are depicted in Table 1.
Clinical parameters are depicted in Table 1.
Length and weight parameters are depicted in Table 5.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com