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Each row depicts data from a separate regression equation, where the dependent variable was defined as influenza type and age (in years) and a single patient characteristic, as listed in the first column of the row (coded as a dichotomous variable indicating the presence or absence of the respective symptom or underlying medical condition) were included as the predictor variables.
An example of correlation is provided in Figure 3 which depicts data from the 2nd and 3rd visits combined for all participants such that each individual provides two data points; for each visit, individual blood-Hg values are plotted against FCS derived data that estimated individual Hg intake on a per kilogram body weight basis.
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Figures 2A and 2B depict data from a representative experiment for monkey A and monkey T respectively.
Table 1 depicts data extracted from the included studies.
Graphs depict data compiled from three experiments, unless otherwise noted.
bBar graph depicts the data from Fig. 7a demonstrating the uptake efficiency of various formulations.
Figure 4b depicts the data from the last 50 kyr excluding 1 ka to the present day, which is dominated by historical data (see Figure 2a).
Figure 2(a) depicts representative data from the OSCC study.
Table 2 depicts baseline data from isolated heart and isolated papillary muscle preparations.
Averages depict combined data from both monkeys.
According to the depicted representative data from previous studies, RARB expression is thought to be associated with cellular sensitivity to retinoid in numerous cancer cells, including HNSCC cells, breast cancer cells, lymphocytic leukemia, and lung cancer cells [ 53– 53].
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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