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Average rates of cavitation and abrasion wear of (Ti,Al N + 1 at.%Y were a factor of 3 to 5 times lower than that of (Ti,Al N and tenfold lower than that of TiN.
To compensate for a bias due to the decrease of available data as τ increases, we correct each bin of C x y by a factor of 1 / (N − | τ | ), which is particularly important for small N. The raw correlogram is then normalized to 1 at lag τ = 0 by multiplying by a factor of N / n 1 n 2, where n1 and n2 are the spike counts across trials of neurons 1 and 2, respectively.
We say that there exists an occurrence of x in y, or, more simply, that x occurs in y, when x is a factor of y.
We find that this method improves the reconstruction of the integrated y parameter by a factor of three with respect to the Wiener filter case.
Correspondingly, the duration distribution in T → A/ Arr1 +/− rods shifted to longer times: the median ΔT (50% point on the y-axis) increased by a factor of ∼1.5, from 2.7 s to 4.3 s.
The images were sampled at Nyquist limit in the x − y direction and oversampled by a factor of 1.5 in the z direction (voxel size = 0.1 μm ×0.1 μm × 0.2 μm) with a 12 bit dynamic range.
For example, use of larviciding and personal protection, respectively, providing y and z effectiveness, reduces the potential benefit of adulticiding by a factor of 1/[(1 − y) × (1 − z)].
Applying the inverse h-Fourier transform with respect to x, operator (Q_{1x}), and setting (x=y), we cancel the factor (e^{-ih^{-1}langle y,eta rangle }) and gain a factor of (h^{-d}).
When Y is on, R[ x0] ≡ kleak, where kleak, a constant between zero and one, is the normalized basal level of signal flux from Z. Hence, X out| Y in will be reduced by a factor of kleak compared to the basic architecture.
A string x is a factor of a string y if there exist two strings u and v, such that y= u x v. Consider the strings x, y, u, and v, such that y= u x v.
A string x is a factor of a string y if there exist two strings u and v, such that y= u x v. Let the strings x, y, u, and v be such that y= u x v.
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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