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We can again spend more time naming our imaginary pioneer family than purchasing enough medicine to last the journey.
We can again become an election-winning party of which people are proud to say they are a part.
We can again construct a set of models.
We can again clearly notice, as expected, that the estimates converge to the desired values after several pairwise message exchanges.
We can again use the analysis carried out in the converse proof of Theorem 7 to bound (E.53).
We can again distinguish the two cases: there is the continuous interval from start to finish, and there is the interval divided into Zeno's infinity of half-runs.
We can again observe that increase in vocabulary size increases the memory demands slightly less than the increase in model order.
We can again write γ = S/I with now S = r - η Y 0 X 0, I = ∑ j = 1 N r j - η Y j X j.
We can again define a "L" function similar to that in Eq. (4): L(c) = P biggl( T_{i} > frac{- sqrt{lambda}c-gamma}{sqrt {1-lambda}} biggr) = operatorname{CDF} biggl(frac{sqrt{lambda}c+gamma}{sqrt {1-lambda }} biggr).
We can again expand the expressions of Theorem 1 around (c = infty ) for the optimal values of p from [26, Section II.B] but with the added parameter r, the resulting formulas are quite a mess.
We can again replace the set N with a cardinal number n to get Vn, although without choosing a specific standard set with cardinality n, this is defined only up to isomorphism.
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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