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This minimum was selected by traveling through the Ncut cost landscape in descending direction of the number of clusters starting with 50 (i.e. from 50 to 2) -partitioning the data in as much meaningful networks as possible- and in ascending direction of the cut-off threshold (i.e up from 2 to 25), keeping the information in Ggrp as high as possible.
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Fifty models with DDrms values between the threshold and the minimum were selected.
In this scheme, the relay for which the secrecy outage probability of system becomes minimum is selected [22].
To find the hard-decision ML solution, only one-sided QLD is needed on either layer 1 or 2. A list of Q n distances ( left{{d}_n(x ,kern1em forall xkern0.3em in kern0.3em {mathcal{X}}_nright} ) is generated by enumerating all symbols ( xkern0.3em in kern0.3em {mathcal{X}}_n,nkern0.3em =kern0.3em 1 ) or n = 2, and the minimum is selected.
Based on the cost-gain measure (bottom), the minimum is selected, which in this case is the color property.
In total, 374 minima were selected in accordance with the following criteria: (1) ΔAIC of less than −5; (2) the lowest ΔAIC in a time range of ±12 days, and a distance range of ±100 km.
Linear and logarithmic model equations were fitted to the branch segments and the equation with minimum residual was selected as the best-fit model representing the corresponding branch.
A 2-fold minimum change was selected as cutoff, and a delta value yielding a false discovery rate lower than 1%.
For each compound, an abundant fragment ion with minimum interference was selected as the quantification ion.
The best-matching neuron, corresponding to the minimum distance, was selected as the winner of the competition between neurons at the current iteration.
Therefore, minimum temperature was selected for its slight improvement of AIC and deviance, and for its temperature range comparable with preceding studies, which were mostly done in temperate climates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com