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Unlike illustrations given in the previous section, we do not consider the case of measuring influence between two users but rather global candidates' influence in the network.
Moreover, although thresholding rules are proved to be relevant strategies for estimating sparse signals [4], wavelet representations of many signals encountered in practical applications such as speech and image processing fail to be sparse enough (see illustrations given in [8, Figure 3]).
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The illustration given in Figure10 may help one to understand the whole growth process.
The supply chain model is solved in crisp environment by implementing the methodology for the numerical example given in the 'Numerical illustration' section.
Several approaches have been presented, as used in previous negotiated learner models or learner models that allow discussion of the model content, so the short example given in the "An illustration for negotiating learner models with multiple sources of data" section is intended purely as an illustration.
Consider these as random illustrations, given that, in the age of Trump, just about everything that happens is out-of-this-world absurd and would serve perfectly well.
Simulation results and illustrations are given in Section 5. Finally, conclusions and future work are given in Section 6.
The illustrations are given in Figure 10, where the multicomponent time-frequency representation is given for four DCT components from two image blocks.
For illustrations, give clues in them to show what will happen next.
A graphical illustration is given in Figure 6. Figure 6 Graphical illustration of the kinetics of the catalyst and bar chart depicting conversion product obtained.
An illustration is given in Fig. 1.
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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.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com