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The algorithm is based on the self-similarity of solutions on different scales and it presents a space-time adaptable method producing more exact numerical solution in the area of the interface between the components, whereas the number of grid points stays fixed.
We strongly feel that the SD values estimated by the trimmed sample method produces a much more realistic SD estimate than the SD values estimated directly from the full data; the former method producing more realistic distribution kurtosis values, an effect especially notable below 36 weeks of gestation.
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With the current data, it is difficult to say which method produced more accurate measurements.
The experimental results show that the proposed method produced more accurate and stable results.
It was found that nonlinear regression method produces more realistic prediction for zinc transport.
Qualitatively, the constant Kmax method produced more martensite than the constant R procedure.
Numerical results demonstrate that the proposed method produces more realistic results than existing methods when dealing with STCHS problems.
The manual sorting method produced more taxonomic groups and higher abundance and biomass values, compared to the differential density Ludox-centrifuge sorting method.
Although the tungsten arc-discharge method produces more GEM nanoparticles than all the other methods do, the production rate remains unsatisfactory.
The comparisons show that the proposed method produces more accurate SWRCs than do other models for both coarse-grained and fine-grained soils.
Compared to bias field estimation [22]-based segmentation (see Fig. 10 b), our method produces more accurate segmentation result with fine localization of regions of interest, as shown in Fig. 10 d.
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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