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The microbial biomass and abundance of selected Collembola taxa were modeled using artificial intelligence methods (regression trees).
In conclusion, contrary to the starch content, trace mineral form had limited impact on the abundance of selected microbial populations in limit fed heifers 3 h after feeding.
The relative abundance of selected bacterial strains in ruminal fluid and the gene expression of transporter genes in the papillae were determined with quantitative PCR.
Regression modelling was used to relate ecological variables to (1) lizard species richness, (2) lizard species composition, and (3) the presence or abundance of selected lizard species.
In early years, from circa 1998, simple data collection forms deemed suitable for non-literate or semi-literate participants were used (Figure 8) to document the presence and the relative abundance of selected wildlife species.
Fluorescence in situ hybridization (FISH) was also applied, to quantitatively assess the abundance of selected microbial groups, and revealed the underestimation of the abundance Methanosarcina by gene cloning analysis and demonstrated the spatial arrangement of these organisms within the architecture of the low-temperature solvent-degrading anaerobic biofilms.
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Response variables were the abundances of selected families and trophic assemblages of aerial insects, which were sampled with Malaise traps at each site.
Furthermore, the relative abundances of selected microbial groups were validated using quantitative PCR.
The abundances of selected MFs (area under the peak for the monoisotopic mass) in the extended discovery and qualification data sets were determined using the Agilent MassHunter quantitative analysis software and exported as a Microsoft Excel spreadsheet for statistical analyses.
mRNA abundance data of selected targets with comparison to published data sources for selected transcription factors.
Transcriptional differences between CD4+ and CD8+ subsets were validated and supported by protein abundance assays of selected genes (TNFSF4, -5, -RSF9, KLRD1, CD48 and CD69).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com