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Followed by the final inner product layer are the normalization and dropout.
where α ˜ k = 1 + k 2 ζ 2 − 1 / 2 Open image in new window and ζ = φ 2 ℏ 2 / 8 m Δ ex d 2 Open image in new window are the normalization and perturbation parameters, respectively, in which k is the electron wave vector.
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ST i) and ε saving(i) are the normalization results of ST i) and ε saving.
(a_{E}) and (a_{B}) are the normalization factors of the matrices and are always up to 1.
Therefore, the numerator and denominator are the normalization constants of the posterior Dirichlet distributions.
Where λ N is the normalization factor and 0≤ρ xy ≤1.
end{aligned} (37)Here (N_{nell }) is the normalization constant and m y) is given by Eq. (22).
N(p q is the neighbors of node p excluding q, α is the normalization value, and S is the state size.
where Γ 1 = σ 2 P s 2 2 R p − 1 t 0 is the normalization factor and t0 is a predetermined initial time.
Both reference miRNAs, in addition to the spiked in UniSp2 were used for normalization in the validation experiments (ΔCq = NF − Cq miRNA) were NF is the normalization factor and NF = (CqmiR-320a + CqmiR-15a-5p + CqUniSp2)/3.
Three reference miRNAs, in addition to the spiked in UniSp2 were used for normalization in the validation experiments (ΔCq = NF − CqmiRNA) were NF is the normalization factor and NF = (CqmiR-103 + CqmiR-191 + CqmiR-423-3p + CqUniSp2)/4. CqmiR-423-3p CqmiR-423-3p CqmiR-423-3p
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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