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As expected resultantly, a novel 3D surface topography modeling solution was established, which aims to predict and modify the finished KDP (potassium dihydrogen phosphate or KH2PO4) crystal surfaces.
An optimal modeling solution was achieved by imposing increased flux through the reaction catalyzed by glucose-6-phosphate dehydrogenase (zwf) and iteratively removing 7 reactions from the network, leading to an alkane yield of 94.2% of the theoretical maximum conversion determined by in silico analysis at a given biomass rate.
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Our modeling solution is, in fact, aimed at auralization and rendering applications, therefore we resort to an approximated but still reliable approach that does not significantly impact on the computational cost: we make use of the Lambert cosine law, which works for energies, to compute the energy response.
A representation of the converged modeling solution is presented alongside the 12-subunit pol II X-ray structure (PDB: 1WCM) for reference.
We conclude that the available GPU performance modeling solutions are very sensitive to applications and platform changes, and require significant efforts for tuning and calibration when new analyses are required.
A two-stage modeling solution approach is presented first, where the initial stage determines weekly time-slots for the classes, based on which, the second stage then assigns teachers to classes.
Due to the stochastic nature of these algorithms, the final MPA design is the composite result of several modeling experiments, and the solution is often suboptimal.
This simplified solution is beneficial for system modeling and optimization when more intensive numerical techniques are prohibitive.
It is acknowledged that a "one size fits all solution" is not possible given the diversity of modeling approaches (e.g., systems pharmacology, population, physiological, disease progression models).
CO2 capture with MEA aqueous solution is selected as a working system to evaluate the modeling results.
Molecular modeling and docking solutions were proposed to complete the studies and to explain the observed SAR in the CDK assays.
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