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The table shows the Classical Greek alphabet.
The second table shows a like situation.
The table shows how this works.
A glance at the table shows why.
This table shows error rates obtained by our training algorithm.
A closer look at the table shows why.
The table shows a selected list of detected proteins.
This table shows polymorphisms in the carbonaria candidate region.
This table shows overlap of shRNAs scoring in both screens.
As our table shows, charges vary a lot.
For comparison, a table shows a range of material properties of engineering materials and biomaterials.
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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