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If the surface energy of a sample is low, e.g. due to contaminations like release agents, narrow drops will be formed on the surface.
It is therefore not necessary to account for lipids if the lipid content in the sample is low (below around 5% lipid or a C N ratio of <3.5 for aquatic animals) [54].
Currently, there are a few studies focusing on rCBF alterations and changes in white matter integrity (e.g. level of myelinisation, orientation of fibers) as markers of Alzheimer's disease (AD) and mild cognitive impairment [29], but the number of systematic studies using state of the art imaging of both modalities in the same sample is low.
However, such filtering may introduce biases in the data, especially if sequences are short and/or the evolutionary distance between contaminant and sample is low.
Therefore, the possibility of including truly (unknown) interacting pairs among a random sample is low enough for our approach to yield a reasonably accurate test dataset.
If the target 16S rRNA gene copy number in the sample is low, it is likely that it cannot be amplified sufficiently to be visualized as a band.
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In addition, the I 2D/I G of the Raman spectra for each test sample was low, showing that multilayer stacks and agglomeration existed for each test sample.
The cost of laboratory supplies per sample was low, around 5 USD, for the rapid tests.
However, the amount of MRSA per sample was low (<10 colony forming units per gram meat) [7].
The proportion of smokers in the sample was low, and did not vary with grade of employment.
The mortality in this sample was low.
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CEO of Professional Science Editing for Scientists @ prosciediting.com