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This section assumes that the Lua frontend is used.
A pair serves nicely as a WID, and this section assumes that WIDs are assigned in this manner by the server that first accepts the Write.
This section assumes that shareholders and partnerships can, but corporations cannot offset taxable losses.
This section assumes that the clutter parameters α and β are known.
(15) This scattering cross section assumes that every particle geometrically hitting the test particle will effectively decohere the quantum state.
This section assumes that the soft decision tree structure has been trained earlier and we just try to find the maximum log-likelihood estimate of its parameters λ, including and Σ. Training the optimum soft decision tree structure will be described in the next section.
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Throughout this section, assume that is a real linear space and is a complete RN-space.
Throughout this section, assume that is a quasinormed space with quasinorm and that is a -Banach space with -norm.
Throughout this section, assume that X is a vector space and that (Y, N) is a fuzzy Banach space.
Throughout this section, assume that is a Lie -algebra with norm and that is a -algebra with norm.
Throughout this section, assume that (X, ⊥) is an orthogonality space and that (Y, ||.|| Y ) is a real Banach space.
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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