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Finally, the problem of cloud type identification for the test sample was solved according to the similarity between the test sample and specific cloud type subspace.
The reason behind it may be as follows: k-NN is a linear classifier, which calculates the similarity between the test sample and the training samples.
The similarity between the test sample and the other samples, used in training, is calculated, and k most similar set samples are determined.
Although the AnBUSDiC test is more tolerant to high surfactant concentrations, the substance concentration has to be a compromise between the limit of detection (sufficient discrimination between the test sample and the blank sample) and toxicity inhibition (It is well known from the ECETOC test, that higher concentrations of surfactants can be toxic for the sludge microorganisms [8]).
The NNA makes its decision by calculating similarities between the test sample and the training samples.
Copies of the genes were calculated using the formula: Copy Number = (1+E)−ΔCt, where E is the efficiency of the PCR and ΔCt = difference in threshold cycle value between the test sample and endogenous control.
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All the SNP loci between the test samples were summarized according to the alignment results of test samples and the reference genome.
The SNP loci between the test samples and reference genome were obtained using the GATK software according to the best practices on the GATK website (https://www.broadinstitute.org/gatk/guide/best-practices.php).php
The processes of ice formation, thawing and evaporation were followed in real-time and comparisons were made between the test samples in order to assess the capability of this technique for sensing changes in surface characteristics such as the entrapment of water.
Briefly, Na,K-ATPase activity was calculated from BLM from tissue or ATII cells exposed to the desired conditions, as the liberated 32P difference between the test samples (total ATPase activity) and samples assayed in reaction buffer with 2.5 mM ouabain but devoid of Na+ and K+ (nonspecific ATPase activity).
The direct indicators came from the data analysis procedure and included the number of unique reads, the genome-wide average GC content, and the consistency between the test samples and the reference controls.
More suggestions(18)
between the experimental sample
between the test committee
between the test client
between the test mAb
between the test compound
between the test string
between the test tobacco
between the test response
between the test card
between the test result
between the test site
between the test ground
between the test lung
between the test crack
between the test group
between the baseline sample
between the test image
between the tested sample
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