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Planning isolated MG by predicting uncertainties by hybrid method of WT-ANN-ICA.
In this article, three case studies will be assessed: 1. Planning isolated MG by predicting uncertainties by hybrid method of WT-ANN-ICA 2.
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To ensure experiments were not limited by predicted microsphere capacity (500 μg of peptides/1 mg of microspheres), we used 20% of the recommend tryptic digest input (100 μg of peptides/1 mg of microspheres).
A maximum adsorption capacity of 333.3 mg g−1 was predicted by the Langmuir model.
The energy band gaps of the hexahydrated and heptahydrated Ni and Mg sulfates were predicted by first-principles calculations.
The Langmuir isotherm model fitted to the equilibrium results with good accuracy and a maximum sorption capacity of 200 mg g−1 was predicted by the model for the hydroxyapatite adsorbent ball milled for 2 h.
The DPP-IV IC50 value of 0.69 mg mL− 1, predicted by response surface methodology (RSM), to be obtained with an hydrolysate generated at 50.5 °C, 2% ES and 231 min (H16) was similar to the experimentally obtained value (DPP-IV IC50 = 0.66 ± 0.10 mg mL− 1, p > 0.05, n = 3).
Thus, the final plasma concentration of MT in the body should be the sum of the concentration of endogenous and exogenous MT. The plasma concentration of conventional MT sustained release tablets with a dose of 2 mg had been predicted by the way.
Indeed, ARR at 0.25 mg was predicted with reasonable precision by our approach.
Pre-SCT assessment by MG-MRD predicted all clinical relapses occurring in the first 100 days after allo-SCT compared with 57% sensitivity using WT1 RQ PCR alone.
MG predicts genes using the di-codon frequencies (and other parameters) estimated by the GC content of an input genomic sequence.
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