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Stress field in the sample containing multiple transverse cracks in the ceramic layer is determined using a modified 2-D shear lag approach and a finite element method.
With the metagenomic approach, genomic DNAs are extracted directly from an environmental sample containing multiple organisms, and the DNA fragments are cloned and sequenced.
Therefore, this new method was firstly tested with each mixture sample containing a single candidate ligand as the primary component (the affinities of other compounds as the secondary components are not estimated), and then tested with each mixture sample containing multiple candidate ligands.
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The sample contained multiple layers corresponding to changes in the Ni(CO 4 decomposition temperature ranging from 200 to 280 °C.
However, for materials science applications where the sample composition is often unknown beforehand or the sample contains multiple atomic elements that have closely spaced K-edges, we require an X-ray detector with a finer energy resolution a hyperspectral detector.
Each sample contains multiple slices that were placed on C-coated Cu-support grids for analysis using transmission electron microscopy (TEM).
If a sample contains multiple isotopes, the mass spectrometer can determine the proportion of each isotope in the sample by measuring the intensity of the different beams of ions.
This examination requires interpretation of the fragmentation pattern in line with the experience of the scientist, and comparison of multiple interpretations of the data, each of which could be correct if the sample contains multiple isobaric isoforms of the phosphopeptide.
For the analysis of massive samples containing multiple analytes, the enhancement of detection efficiency is crucial.
Even though species- or group-specific primers that can be used for samples containing multiple species are difficult to design, species- or group-specific primers are a practical solution for quantification in the current era.
Effect of the co-existence of multiple genotypes in a sample on the target genotype quantification was evaluated using composite stool samples and wastewater samples containing multiple genotypes and the presence of non-target genotypes didn't affect the quantification of target genotype.
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