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In 2003, Li [1] demonstrated that with a finite field size, the maximum flow from the single source to sinks can be achieved by linear network coding [2, 3].
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Recognition is achieved by linear discriminant analysis (LDA) and nearest neighbor classifier.
Subgrid accuracy is achieved by linear interpolations of image intensities and the interslice correspondences.
Modeling of the relationship between selected descriptors and solubility data was achieved by linear (multiple linear regression; MLR) and nonlinear (artificial neural network; ANN) methods.
An optimum composite structure consisting of 25% glass fibres, 45% polyester, and 30% copper was achieved by linear programming search optimization methods.
In some literature, such as [32 34], it is known that warping cepstral-based features between different speakers is achieved by linear transformation with an adaptation matrix, and a few diagonal elements (such as tridiagonal, pentadiagonal, and heptadiagonal) of the adaptation matrix are sufficient for warping the cepstral features.
Both height and weight were treated as continuous variables, and this was achieved by linear interpolation between observations.
The remaining spectrum intensities are achieved by linear interpolation within the range of the discrete data set.
The weekly sizes of the age group and gender specific populations were achieved by linear interpolation. 1) Season: week 27 to week 26 the following year.
In patients in whom bidirectional block was achieved by linear ablations, there was no significant difference in the early recurrence rate (21.2%, 28.6% and 19.4%, respectively, p=0.589) and in the clinical recurrence rate 3 months after RFCA (11.5%, 19.1% and 19.4%, respectively, p=0.978; table 3).
Alignment of corresponding anatomical structures in images (prior to segmentation) from different participants was achieved by linear registration to a standard brain template comprising images from 152 participants placed into the stereotaxic coordinate space (MNI template available at http://www.bic.mni.mcgill.ca/software/).
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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