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The chemical compound in the catalyst support was identified using Fourier transform infrared spectroscopy (FTIR, PerkinElmer), and X-ray diffraction (XRD, D8 Advance/Bruker AXS, Germany) was used to analyze the pattern and crystal structure of the samples.
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The ML tree was identified using 100 starting trees and support values were computed using 100 slow bootstrap replicates.
He was identified using DNA samples taken from parents.
MAP3K7 was identified using GO.
The predicted localisation of the PPIases and the identification of sequence motifs that support this were identified using PSORT [ 152, 153] located on the National Institute for Basic Biology (NIBB) server [ 154].
In addition, T1DM parent support groups across the UK were identified using an online search engine and support group leaders were emailed with request for an e-flyer to be distributed amongst group members.
In this model, (1) the feature samples (FSs) are identified using Support Vector Regression and Quantum-behaved Particle Swarm Optimization and (2) the IFSs space is established based on the Cell Nuclear Pore Optimization CNPOO) algorithm.
In summary, we have developed a "precursor-preselected" wet-chemistry strategy to synthesize Fe2 clusters supported on mpg-C3N4, whose structures are identified using AC-STEM, XAFS, and first-principles calculations.
Yet as mentioned above, several non native oligomers have been identified using unfolding conditions, supporting the view that more protein oligomers are concerned by that non classical assembly mechanism.
Important feature variables were identified using Random Forest, and the Support Vector Machine provided the classification.
Several have been identified using DNA techniques.
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