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In the theory of series the estimates of norms of summable matrices are very important problems.
Furthermore, the proposed schemes are stable because the discrete coefficient matrices are very well conditioned.
These expression matrices are very useful for following the expression pattern of a single gene during embryonic development.
Despite this, the amount of molecular data remains limited and our data matrices are very sparse, even for well sampled groups such as green plants or mammals [ 2].
These matrices are very important for the functioning of the network, because the echo-state characteristic of the network is dependent upon the mathematical properties of these matrices [ 6].
After interference correction, the emission yield (defined as the ratio of intensity and the product of the concentration and the sputtering rate) of the different matrices are very close together.
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Collagen nanofibrous matrices were very effective as wound-healing accelerators in early-stage wound healing.
Calculating inverses of matrices is very time-consuming, particularly if the dimensions are large.
Calculating the inverses of matrices is very time-consuming, particularly if the dimensions are large.
Even though the matrices were very different the remediation was successful in all cases.
Long-term performance assessment of vitrified waste matrices is very important from a safety point of view.
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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