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The mean squared speed whilst running was calculated to be \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$S_T^2 =9.26\\, \mu \text {m})^2/\text {s}$$\end{document} S T 2 = 9.26 (μ m ) 2 / s.
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Burst activity probabilities of the VTA DA neurons at starts and stops of wheel running were calculated in a time window of ±1 sec (Figure 7C).
The time each subsystem needs to run is calculated using conservative estimates.
The smallest statistically detectable mean difference between two dissolution runs was calculated (95% CI) to be 7% for one analyst, or 5% if two analysts were to perform the dissolution tests.
We also used the software STRUCTURE to estimate Fst values for the genetic clusters established for each group, the mean value of 20 runs was calculated.
Duplicate arrays were run, and the average of the two runs was calculated.
To help rectify this, the analysis was repeated 100 times and the average p-value over all runs was calculated.
The coefficient of variation between the two runs was calculated to assess the reproducibility of UDPS on these samples.
For protein (rollup) identification in each LC-MS run the average of the top 3 most abundant and most present peptides (calculated by multiplying the number of runs the peptide was identified by the average value seen in all runs) was calculated to confer the protein abundance value [44].
The convergence of the five independent runs was calculated and confirmed as described in [ 65].
PCR efficiency of each run was calculated using the LinRegPCR programme http://LinRegPCR.nl[ 66].
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