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This procedure sets up a gradient from sensor node to the sink node, so that each sensor becomes aware of the sink's location for sending future data.
This procedure sets the number of clusters (m=[n/5]), identifies the m farthest nodes from each other, called centers, and assigns each remaining node to its nearest center.
This procedure sets the mean for each species to 0 achieving equal contribution of each species to the sum.
YaM is defined as: YaM=DM-YM+GM This procedure sets the average of YaM for each year identical to GM.
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This procedure set the position of the microtubule minus-ends with respect to the SPB, with the position of plus-ends and the transverse organisation of microtubules at the midzone determined by simulating cross-linker attachment and detachment from the microtubule lattice.
We then repeat this procedure for sets starting at position x2, x3, and so on.
In this procedure, two sets of empirical significance values were calculated: pointwise estimates of an individual SNP's significance (empirical pointwise P-values) and corrected values for multiple testing (corrected empirical P-values).
The design procedure sets targets before design.
With this procedure a set of function values is mapped onto a set of local approximations around every node.
To predict the percentage reduction had there been no TC advertisements during the time‐period, we repeated this procedure but set GRPs = 0 in the original data set.
Through this procedure, a set of sequences is generated and used to train the models.
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