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The discrete normalized scaling and wavelet basis functions are defined as (1) φ i, n t = 2 i / 2 φ 2 i t − n, ψ i, n t = 2 i / 2 ψ 2 i t − n, where i and n are the dilation and translation parameters.
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The Resulting FOM is a single aggregate quantification of the multiple metrics on a normalized scale.
Two features, the normalized LWE coefficient W⁎ and the normalized scale a⁎, were extracted from the LWE coefficient maps to represent changes in flow patterns.
Spider charts can display the spatial urban types at three time stages, showing temporal development and helping the reader compare all cities based on normalized scales.
This reflection intensity increases with Si content; however, this is clear if we considered that the Raman results presented in a normalized scale.
In this normalized scale, the distance between the elements is denoted as Δ and the array effective length (accounting for its electromagnetic properties) is L = MΔ while its physical length is L a = (M − 1)Δ.
Accordingly, for Very Low and Very High processor load ranges that border 0 or 100%% on the normalized scale, the associated trapezoidal MFs can be constructed by connecting points as follows: (a - sigma_{a}, 0), (a,1)(n,1),(b + sigma_{b},0) (31).
The displacement and strain mode shapes that are determined with the strain EMA are not mass normalized (scaled with respect to the orthogonality properties of the mass-normalized modal matrix), and therefore some dynamical properties of the system cannot be obtained.
The API compares five main air pollutants, i.e. sulfur dioxide (SO2), respirable suspended particulates (RSP), nitrogen dioxide (NO2), carbon monoxide (CO) and Ozone (O3) as sub-indexes, which are calculated separately from a segmented linear function that transforms ambient pollutants concentrations into a normalized scale extending from 0 to 500.
In normalized scores, data are fit to a normalized scale allowing direct comparisons across scores.
This adjustment preserves the median on the original scale after back transformation (mean of the distribution on the normalized scale).
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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