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Coronal, sagittal and transverse data sets were reconstructed using a 3D iterative technique (row action maximum likelihood algorithm, RAMLA-3D) and corrected with single scatter simulation.
The Mooney Rivlin material model was selected as the best fit for the transverse data and used in conjunction with the longitudinal data.
Coronal, sagittal and transverse data sets were reconstructed.
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The results are compared to 2H NMR transverse magnetization data based on the predictions of a model describing elastomer deuterium transverse magnetization data as a linear superposition of contributions from elastic chains and free dangling chain ends.
2H nmr transverse magnetization data are compared to the predictions of a model describing elastomer deuterium transverse magnetization data as a linear superposition of contributions from elastic chains and free dangling chain ends.
Additional transverse dispersion data was obtained for fluids with a density contrast of 225 kg m−3 and a matched viscosity ratio over a range of Peclet numbers (1 < Pe < 1000).
An analogous set of transverse relaxation data was acquired for each of the disease variants.
Although the transverse experimental data support the application of the theoretical equations in this context, there are some deviations.
An excellent correlation was found there between viscosity and PC 2 calculated from the 1D transverse relaxation data, acquired on castor genotypes.
The protocol was demonstrated using the acquired 1D transverse relaxation data of nine oils, each approximately 1, 2, 3, and 4 ml, that were correlated against oil content.
Transverse relaxation data was either used as acquired, or pre-processed by dividing the entire signal of each sample by its first (and highest) intensity.
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