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We investigated whether adding trends improves accuracy and which methods are optimal for modelling trends.
Both the last and current experimental results show that sparsity-driven methods are optimal in SR imaging under noise conditions.
It is shown that our multigrid methods are optimal, which means the convergence rates of the methods are independent of the mesh size and mesh level.
This study demonstrates that DTI methods are optimal preclinical imaging tools to detect structural anomalies in WM and GM spinal cord during early stages of the disease.
As a consequence, most DNA extraction methods are optimal for just one or a group of bacterial species [ 6].
While these established methods exist for handling correlated data, it is unknown which methods are optimal for studies that may have as little as 10% of the individuals related.
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None of the scaling methods were optimal for all map diagnostics.
The distribution of A. thaliana GO slim terms in the DEG set and was compared that in the DEC set to assess which methods were optimal for removing contig redundancy.
Planning schemes selected by this method are optimal in the statistical sense, leading to low-probability scenarios being discounted [6].
For small spherical particles, as for graphite, the SAXS method is optimal whereas the image analysis methods are problematic.
The first method is optimal output feedback control and the second is based on state observer method.
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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