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The utility of a method depends strongly on the choice of spectral basis.
Nevertheless, the efficiency of this projection method depends strongly on the choice of the step-size parameter.
The validity of this method depends strongly on the assumption that the first-stage sample and the reduced-form sample are randomly drawn from the same population (similar to the assumption for subsample IVs, where the first-stage sample is a random sample of the reduced-form sample).
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There have been a multitude of methods proposed see for example the benchmarks performed by Hach et al. (2010)—and the results and optimal choice of method depend strongly on the read length and the maximal edit distance allowed.
It is well-known that the accuracy of the coupled cluster methods depends strongly on the basis set used, and one of the goals of the present investigation is to use explicitly correlated (F12) coupled cluster methods to establish theoretical best-estimates for molecular geometries and interaction energies for the halogen bonding in H3N⋅⋅⋅XY complexes.
However, these methods depend strongly on the availability of the sequence database.
Because the accuracy of docking simulations that use the shape complementarity search depends strongly on the representation method, various representation methods have been developed.
The computational cost of quantum Monte Carlo (QMC) calculations of realistic periodic systems depends strongly on the method of storing and evaluating the many-particle wave function.
The results indicate that the ethanol oxidation kinetic depends strongly on the method for synthesis.
The distribution of multigene family expansions on the phylogeny depends strongly on the method used to infer evolution, and has the potential to complement gene expression analyses that suggest parallel evolution of amino acid transporter recruitment to the symbiotic interface.
The prognostic significance of HER-2/ neu in node-negative breast cancer depends strongly on the method of testing: only the amplification of HER-2/ neu is an independent prognostic factor for the long-term prognosis of untreated node-negative breast cancer.
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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