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This study aims to investigate the nature of the perceptual information that could be retrieved in different representation modalities to learn a complex structure.
This system was designed to provide data from multiple biomedical databases in an RDF-compliant form data can be retrieved in different formats, such as RDF, N3, or plain HTML.
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The aim of this study was to investigate how the true values of the population parameters are retrieved in different situations with varying sample sizes, number of items and skewness of the latent variable distribution.
According to dual route models of reading (e.g. [ 11]), the pronunciation of words can be retrieved in two different ways, depending on the frequency and regularity of a word.
Examples of a similar idea applied to different contexts can be retrieved in recommender systems [41, 42] and search engine studies [43, 44], which have the related problem of producing recommendations or search results too heavily influenced by the profile of the requester.
A total of 19 genera belonging to SRB were retrieved in the different anaerobic sludge samples, even though always at a very low % (far below the cut-off set at 1%).
On average, over 500 different chemical structures are retrieved in such accurate-mass-based searches [ 59].
Different probe sets were retrieved in U- and D-treated mice, as shown in Volcano Plots and related tables (Additional file 2).
Three of nine different Vλ3 germline genes were retrieved in high frequency before and after selection: IGLV3-1, IGLV3-19 and IGLV2-21.
Results from a query are retrieved in a table format, with each row being a different disease association with KIR.
Data were retrieved in retrospect.
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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