Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
Published genetic data were generated by both Sanger and next-generation sequencing with amplicon-based target enrichment.
The data were generated by a particular (known) form of probability sampling.
The data were generated by an experimental setup specifically designed to suit the demands of mathematical modelling.
Experimental data were generated by analyzing the concentration of thief samples obtained using core samplers by means of image analysis.
The original data were generated by this scenario: Acme Manufacturing has a number of machines in which a particular part must be frequently replaced.
The second-order electrochemical data were generated by changing the pulse height in DPV, and after potential shift correction MCR ALS was applied.
They have also found that the Cox proportional hazard model exhibited good performance when data were generated by distribution with a proportional hazards assumption [13].
Individual raclopride binding images from healthy volunteer dynamic data were generated by averaging the PET frames acquired between 40 and 60 min after tracer injection.
Therefore, 23 test data were generated by the pairwise approach; (RR_1): Values were generated randomly and no strategy for combining the values was adopted.
Daily weather data were generated by temporally disaggregating the projected monthly temperature and precipitation data [42] and historical daily weather data with 1/8° spatial resolution [43].
Thus, 23 test data were generated by the pairwise approach; (RR_1): Values were generated randomly and no strategy for combining the values was adopted.
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