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Every coefficient and constant of matrix are identified with the help of index position which corresponds to each point in the matrix as discussed above.
Particle debonding in combination with subsequent plastic void growth and shear yielding of the matrix are identified as major energy dissipating mechanisms in all three regimes of FCP.
The correlation scores reflect the degree of surface similarity between objects A and B thus higher positive scores indicate more extensive matching of the surfaces and little or no protrusion of object B outside of the volume of object A. The n highest scoring α, β, γ shifts in the current correlation matrix are identified and saved.
Then, duplicons of each artificial matrix are identified by applying our HMM.
As a result, small patches of non-zero entries with significant values in the writhe matrix are identified.
The large components of a deviating eigenvector computed from the Pearson correlation matrix are identified as gene members that belong to a specific functional module involved in a similar cellular pathway.
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After the mixing matrix is identified, the sources have to be estimated.
More matrix was identified on a scanning electron microscope and by histopathology in the fresh group.
Nodules of mineralised organic matrix were identified with ARS and ALP, confirming osteogenic differentiation.
Then the channel impulse response matrix is identified, up to a Hermitian matrix ambiguity, through an eigen-decomposition of the outer product matrix.
The recurrence matrix is identified with the adjacency matrix of a complex network and measures are applied for the characterization of complex networks to these recurrence matrixes.
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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