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Results of a query are presented as a list with a brief description, where a color code identifies text matching exact terms or synonyms.
The result of a query is presented as a report showing how many samples with the specified parameters are available from each of the collections.
A summary of the query is presented in the left hand panel and once complete, a preview of the results is generated by clicking on the 'Results' button.
An effective localization algorithm based on database query is presented.
The most spatially and semantically similar queries to the current user query are presented in the list of candidate queries.
The averaged results of the individual Precision and Recall measurement performed for each query are presented in Table 4.
The results of the matrix coding query are presented in Table 1 and display the four emergent themes as they were coded within each data source.
The precise search query is presented in Appendix.
The result of each query is presented to the user in the web browser.
The result for given query is presented in the same page (Fig. 1b) along with information such as PDM ID, plant part, chemical name, chemical class, IUPAC names, SMILES notations, and 3D structure of PDM with associated references.
The results of a test conducted to study the effectiveness of the system using a small sample of twelve queries are presented.
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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