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The 19 deficient samples identified by BinaxNOW are identical to the 18 samples shown below the 30% cutoff with the reference assay plus the 1 additional sample directly above this cutoff.
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Additional case profile classifications were made using the original Moroccan training set with outliers removed: excluding the four misclassified individuals (the four lowest red points in Fig. 1) or these four plus the eight samples showing below average likelihoods (two red and six green points close to the midline).
The authors present the corresponding structural models according to the three samples (shown in Figure 5, the below panel), which clearly shows the different void ratios induced by their different diameters and interspacing of the aligned nanowires.
A typical scatter plot of GET versus ping response time for 4000 (the maximum plottable by Excel [MS]) successful samples is shown below in Figure 8. Figure 8 shows a scatter plot of the median GET response for 10 GETs/host versus the Minimum Ping for 10 pings/host for 4000 samples.
The analysis of frog samples showed values below 7 ng/g on the basis of dry matter for all the OCPs under study.
Accordingly, all samples showing conductivity below 1750 µS/cm should be suitable for direct injection, and sample with conductivities above would need to be treated (e.g., diluted).
About 10% of the samples showed activities below detection limit.
In order to investigate whether ovariectomy-induced weight gain was associated with oestradiol production, we measured serum oestradiol levels at different times post-ovariectomy, but most samples showed values below the detection limit (data not shown).
Samples showing RQI below 7.5 were excluded from the study and 95 samples were kept for further analysis: 45 tumour/normal paired tissues (22 exposed, 23 non-exposed) and 5 tumours from non-exposed tissues for which the normal counterpart was not available.
A chromatogram of the analysis of a tissue sample is shown below; the total analysis time is five minutes per sample and carryover between samples was validated at <0.1%.
The weight vector, which represents the probability of data points falling into each bin (number of events in each bin divided by the total number of events), includes weights from the control and the sample as shown below: The subscripts indicate whether the weights were taken from the control (C) or the sample (S), and the superscripts indicate the bin for which the weights are calculated.
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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