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Risk assessment by this method required a robust arboviral surveillance program, with regular sampling for multiple surveillance indicators.
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The estimation of particle sizes by this method requires the solution of an inverse problem using a suitable scattering model that takes into account size, shape and optical properties of the particles.
Hence, vaccination of cattle in the field by this method requires a mixture of parasite strains.
However, the candidate variants identified by this method require experimental validation to distinguish real inversions from false positives.
Providing a reliable supply of Cu by this method requires dedicated proton beam and chemistry station that are rarely possible at one of these multipurpose facilities [ 34, 35].
According to Dixon [ 22], optimal threshold calculation by this method requires six responses in the immediate vicinity of the 50% estimated threshold.
Detection of transient perfusion by this method requires that vessels are non-functional for at least 5 min owing to the distribution half-lives of the dyes in the blood.
Although direct sequencing has generally been used to detect EGFR mutations in previous studies, detection of a mutation by this method requires at least 30% of the mutated DNA in a sample (Bosari et al, 1995; Fan et al, 2001).
According to the original protocol, optimal threshold calculation by this method requires 6 responses in the immediate vicinity of the 50% threshold, therefore recording of the 6 data points did not begin until the response threshold was first crossed (positive response changes to negative response or inverse).
However, as indicated by our results, this method requires high RNA-seq read coverage.
Furthermore, as pointed out by the authors, this method requires a relatively higher degree of freedom (the difference between the sample size and the number of phenotypes) in order to be effective.
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