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In 1985, there were faults at the Araguatins station that were corrected using the simple linear regression method proposed by Tucci (2002).
The first mean, ( {widehat{overline{Y}}}_{12} ), is formed by updating the time 1 mean using the simple linear regression between time 1 and 2 on the remeasured plots.
We performed this normalization using the simple linear model: Yijk = slidei+subarrj+blockk where Yijk is the response (i.e. the index) for block k in sub-array j on slide i.
Contribution to the variance in signal intensity at each separate target concentration explained by ΔGduplex was explored using the simple linear model presented in equation 2 (see Materials and Methods), replacing %Bound with ΔGduplex.
Associations were examined using the simple linear regression method.
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The shell is discretized using the simplest linear triangular elements and the edge-based smoothing domain is then constructed.
Nevertheless, we attempted a crude estimation using the simplest, linear model of the increase in parallel changes depending on the depth of the tree.
Nevertheless, a conservative estimate that was obtained using the simplest, linear model of the increase in parallel changes depending on the depth of the tree showed that parallel changes made negligible contribution to the support of the Coelomate clade, given the very short internal branch leading to Deuterostomes.
We used the simple linear scaling [47] where the maximum distance through the tree is set at ω = 100.
At the same time the present work uses the simple linear classifier.
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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