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Moreover, the dissipation properties are fully controlled through an algorithmic parameter, reducing to existing fully conserving schemes, if desired.
The skew-normal distribution accommodates asymmetry in a more flexible manner, and can model both positively or negatively skewed data (depending on the sign of the skewness parameter) reducing to the normal distribution when the skewness parameter is zero.
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The use of an experimental plan having three (or more) levels per parameter reduces this problem.
In addition, a decay parameter reduces the influence of atoms with increased topological distance.
Increase in the magnetic parameter reduces the skin friction but increases the Nusselt number as well as the Sherwood number.
Our results show that the transmission decreases when the wire length increases, or the hopping parameter reduces.
This diffusion regulator parameter reduces numerical dissipation, is very simple and can be easily incorporated in any Euler solver.
We observe that increasing the magnetic field parameter reduces the local skin friction as well as the heat and mass transfer coefficients.
This figure shows that the both of gas pressure and collision power parameter reduce the maximum and saturation values of ion current density.
Increasing the Forchheimer parameter reduce velocity profiles, this is caused by the transpiration effect taking place at the surface of the circle.
Therefore, this parameter reduces initial redundancy in the data sets, speeding up the calculation of MSTs.
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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