Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
Data are also available from replicated metagenomes to help researchers' decisions on the impact of linker amplification methods from low input DNA35, viral purification strategies36, and library preparation and sequencing platform choices36.
All schemes exhibit a similar trend; however, the proposed scheme outperforms the existing methods from low to high service load distributions.
Similar(58)
We present a modular path-planning algorithm that uses a hierarchy of terrain-assessment methods, from low-fidelity to high-fidelity.
Furthermore, we suggest a new theoretical approach for evaluation of phenol adsorption capacity that is based on the Monte Carlo simulation of phenol adsorption with the relevance to the pore size distribution function determined by the density functional theory method from low temperature nitrogen adsorption.
In addition, these two figures also show that the proposed method outperforms the subspace method from low to medium SNR, and the subspace method performs better for high SNR. Figure 5 Bit error rate versus output SNR (200 symbol blocks).
Figure 2 shows that the proposed method outperforms the subspace method from low to medium SNR, whereas the subspace method gives better performance for high SNR; and Figure 3 shows that the performance of the proposed method is better than that of the subspace method.
These methods suffered from low throughput and complicated probe design and were soon abandoned in favor of restriction-enzyme-based methods.
However, conventional methods suffer from low uniformity, complicated fabrication steps, sintering, leaching, decline of catalytic activity, and/or poor reusability.
Since conventional screening methods suffer from low throughput and limited target metabolites, a universal high-throughput screening platform for selection of improved strains should be developed to facilitate evolution of metabolite high producer.
However, these methods suffer from low accuracy.
However, both production methods suffer from low SA.
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