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This method generates very homogeneous PLGA-NPs.
Although this method generates very short sequence reads, several recent studies have demonstrated that it is possible to assemble these short reads into good quality draft genome sequences [ 30- 41].
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Experiments on a large quantity of low illumination images revealed that the proposed method generated very high-quality enhancement images compared with the other state-of-the-art methods.
Overall, the MIT-NGS method generated very high-resolution HLA typing for 95 individuals and accurately genotyped 100% of the HLA class I and DRB1 locus alleles.
Omitting failed samples, both methods generated very high coverage in the targeted regions.
The other advantage of our method is that it generates very little solid or liquid wastes (the disposal of which typically requires additional resources to be expended).
As it can be seen from the results shown in Figure 10, both NPM2 and our method have generated very competitive and pleasant results for the dynamic texture synthesis.
The method promises to generate very accurate results with a remarkable convergence rate.
In contrast, the combustion method generates soot with a very high yield of fullerenes using a continuous and easily scalable process.
The proposed method generates good results; some very thin retinal vessels with poor contrast are still missed due to the fact that our method is unable to produce a proper phase map.
This method has proved to generate very stable and reproducible results compared to previously published data.
Write better and faster with AI suggestions while staying true to your unique style.
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