Your English writing platform
Discover LudwigExact(1)
Briefly, the experimental design consisted of two types of direct comparisons with reverse labeling; comparisons between samples that received different treatments (e.g. ethanol, methylmercury, low oxygen, metabolic toxin 2-chloro analogue of 2'-deoxyadenosine administered at different time points or doses), and comparisons between treated and control samples.
Similar(59)
Areas on the sample that receive the highest UV dose exhibit chain scission.
The PCA plot showed no clear separation between samples from dogs that received antibiotic and those that did not (Fig. 7 ).
The univariate analysis of the selected metabolites based on antibiotic administration status also revealed no significant differences in any of the significantly different metabolites between samples from dogs that received antibiotic and those that did not (Fig. 6C ).
The PCoA plots showed no significant separation between the samples from dogs that received antibiotic and those that did not (ANOSIM, p = 0.51; Fig. 5A ).
Low and high cycle fatigue tests are carried out on samples that received a low temperature stress-relief treatment.
Samples that received trastuzumab were excluded.
Also, there were no significant differences in unweighted UniFrac distances between the pre- and post-treatment samples from dogs that received antibiotic and those that did not (p = 0.5273; Fig. 5B ).
We first observed a statistically significant association between a high PCR-GGI score and a higher risk of recurrence in ER-positive BC samples from patients that received adjuvant tamoxifen for primary disease across two different BC populations.
The GIXRD diffraction patterns of M1 samples presented similar features compared to that received from C1 samples, Fig. 3b.
We also observed a statistically significant association between a high PCR-GGI score and a higher risk of progression in ER+ BC samples originated from patients that received first-line tamoxifen for advanced disease.
Write better and faster with AI suggestions while staying true to your unique style.
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