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Here, we present only the most parsimonious models, so that Σ w i values are smaller than 0.9 (complete overview in Additional file 5) Factor sets Scale [km] df log AICc Δi w i Σ w i R2 cond.
Although it is always possible to expect a stronger scale (H values) from a higher cutoff, increasing the cutoff value above a certain level will likely lead to the possibility of many item sets (scale fragments) with only a few items.
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It's also sad to see characters interacting with physical sets, or at least to have the obvious artifice of the virtual sets scaled back.
Walls are covered with 1970s newspapers and there's plenty of Soviet paraphernalia, including old radios, television sets, scales and jars with pickles scattered around.
Table 8 shows that, at this level, two item sets (scales) are found.
In this setting, interestingly, calculation-intensive statistical feature sets (scaling feature set, length feature set) result in roughly the same performance as a simple dictionary lookup.
Relative expression values were generated for each transcript using the Affymetrix MAS5.0 algorithm in GeneChip® Operating Software (GCOS) Version 1.4 with All Probe Sets Scaling of 500.
For microarray analysis, gene expression values for the 22,283 gene probe sets, scaled to the target intensity of 2,500, were log transformed.
Points are given on a set scale for performance in each event with the cumulative points determining the overall placings.
To do this, a five-point linguistic variable set scale was constructed and their hierarchical prioritization procedures were set up.
Within a set scale it is possible to emphasize a particular pitch in such a way that it seems to become the pitch centre.
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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