Your English writing platform
Discover LudwigSuggestions(1)
Exact(12)
Data are shown with mean ± SE.
The measured data are shown with circles.
In other results, the unsatisfied data are shown with notes.
Data are shown with 95% confidence intervals and circles representing outliers.
These data are shown with the top x-axis in Fig. 2a.
Recorded waveforms are in black, simulated waveforms are in red, unfiltered data are shown with solid lines, and filtered data (0.05 0.20 Hz) are shown with broken lines.
Similar(48)
The linear fit to the experimental data is shown with dotted line.
Furthermore, the potential of the measured data is shown with tracking of avalanche fronts in two spatial dimensions.
GPR data is shown with raw counts in order to show that the resolution of NPM, although inferior to that of fluxgates, is suited for studying large-amplitude ULF pulsations.
The benefit of prediction, compared to a heuristic and an optimal control strategy that uses only actual vehicle data, is shown with an example of a hybrid truck at a highway trajectory in a hilly environment.
For each observer, the best-fitting bilinear fit to the log/log data is shown, with the constraint that the gradient of the linear fit at high ratios is zero (i.e. performance has reached a plateau).
Write better and faster with AI suggestions while staying true to your unique style.
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