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This is so because there is small percentage of cases where the same chemical entities were either not consistently annotated over different abstracts or not recognized as chemical entities by the annotators (see Figure 2 for examples).
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I'm perfect.' I said, 'Those are words that shouldn't leave your lips yet.' One piano, I made him go over it for an hour and a half, because there were small tweaking motions that needed to be done.
This is because there are small particles of salt within the water that can produce nuclei cavitation, which is necessary for the rupture and growth of micro-bubbles.
However, because there were small sample sizes in HFE homozygote genotype, we were unable to test alleles dose responses.
Because there were small lymph nodes without necrosis, and FDG uptake decreased compared with pre-treatment value (mSUV 9.0), we observed without immediate neck dissection.
Values returning to normal for either of the biomarkers did not mitigate risk, most likely because there were small numbers of patients in this category of change.
Logistic regression analysis could not be carried out when cut-offs of 100 μg/g or 150 μg/g were used because there were small numbers in some categories.
In an analysis of results according to whether the study outcome was colonization or infection, no trends were seen in the data, possibly because there were small numbers in each of the categories.
Causes of death were divided into two categories: deaths due to HIV/TB and deaths due to all other causes combined, because there were small numbers reported for deaths from other causes (35).
Because there were small numbers of interventions in some DRG groups, we have reported on the 6 DRG groups containing a sufficient number of interventions for meaningful between-group comparisons.
Because there are small differences in femoral component design [ 18], the femoral component type was included as a potential confounder in the shared frailty cox regression analysis comparing survival between the two groups and was not found to be a confounding variable.
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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