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We generated 4 different e-pharmacophores for 2FUM given as Figure 2 and from that we have evaluated the best one using the statistical metrics discussed in results and discussion section.
We evaluated LnLCorr using the default metric in addition to the five Atchley metrics (discussed below), but point out that LnLCorr always recodes to a two-state alphabet.
To evaluate the effectiveness of the proposed schemes, we consider the main performance metrics discussed in Section 2.1.
Our proposal in this paper is to promote the packet function-aware extension of the Dijkstra algorithm as a base algorithm where any appropriate routing protocol can evolve and integrate it (with other routing metrics discussed above) and build on top of it.
We measure the performance metrics discussed before for varying the number of directional sensor nodes ranging from 200 to 1000, at an interval of 200 nodes; the number of sectors is kept at 3, and the total number of fixed target is 200.
This may also be the case for the consistent but uniform unigene metrics discussed above.
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These metrics are discussed in [9, 10].
Those metrics are discussed in the next subsections.
The VM application/business metrics are discussed later in the previous section.
In this section the collection of metrics is discussed with diagrams and presentation of the results.
The advantages of selecting these metrics are discussed as follows: 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