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With respect to an unbiased choice of psoriasis-associated GO and KEGG pathway terms, we identified specific similarities and differences between human psoriasis and each mouse model, and we suggest that these differences can be translated into strengths and weaknesses of each mouse model.
Amongst the truly novel terms, we identified algorithms, methods, brand names and gene names.
By omitting outcome related search terms, we identified trials that were not primarily focused on asthma or allergic disease, but nevertheless reported relevant outcomes.
Turning to the FCTC strategic action terms, we identified five research questions to guide our scoping review of reviews (see table 1).
In other terms we identified, on the basis of the clinical literature, periods of follow-up in which the patient HR-QOL was likely to vary.
Using predefined search terms we identified references through searches of PubMed from 1966 to 23 November 2009 (see web extra methods 1).
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In the first (Lamb shift) and second (dispersive shift) terms, we identify the parameter (chi_{k,l}) with (g_{k,l}^{2}/Delta_{k,l}); this is perfectly conventional.
We note the following differences between Eq. (61) and our model Hamiltonian Eq. (2) in the text: In the first (Lamb shift) and second (dispersive shift) terms, we identify the parameter (chi_{k,l}) with (g_{k,l}^{2}/Delta_{k,l}); this is perfectly conventional.
From these terms we identify the associated nuclei and extract the positive feedback loops in these nuclei.
For each term, we identified GO-slim terms in three categories: molecular function (F), biological process (B), and cellular component (C) [ 15].
Using our model including a stress term, we identified 8% of features as differentially expressed between bundle sheath and mesophyll cell types under control of false discovery rate of 5%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com