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The calorimetric behavior is reasonably the same for all four samples studied.
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The producer-side business case for these substances is clear: If a popular drug is outlawed, why not change the chemical formula a tiny bit to evade laws and hope the effects are reasonably the same?
Marc Forster's exercise in action-horror-apocalypticism, based on a novel by Max Brooks, breaks no new ground in the genre, but is reasonably entertaining all the same.
Furthermore, in case of BC where multiple users are receiving information, there is no trivial extension because the good code for one receiver may be very bad for the others; so it would be interesting to know if there is a code that is reasonably good at the same time for all the sub-carriers and all the users in this scenario, and, if any, how to calculate or select it.
Marc Forster's exercise in action-horror-apocalypticism, based on a novel by Max Brooks, breaks no new ground in the genre, but it is reasonably entertaining all the same.
You suspect, before long, that there is no strong reason for this production to exist, but it is reasonably good fun all the same.
(0,0 -rule-2 If both processes (mathrm{Pr}_i) and (mathrm{Pr}_j) have started at the same time, then it is reasonably anticipated that the bf-relation between processes (mathrm{Pr}_i) and (mathrm{Pr}_j) will be one of the bf-annotations, ({ mathtt{fb}(5,7),; mathtt{pba}(6,6),; mathtt{fa}(7,5) }) whose greatest lower bound is ((5,5)) (refer to Fig. 6).
As shown by the black curve in Appendix 1 figure 6, the distribution of background fluorescences is reasonably approximated by a Gaussian with the same mean and standard deviation.
I define here "evidence" very broadly as "answers that are reasonably reproducible if the same clear question is posed and the same methodology is used".
It is likely that the population of Z. maha in Fukaura is reasonably isolated from other populations of the same species because Z. maha individuals are quite small and do not fly over long distances.
It is reasonably expected to have rules sharing the same statistical value called Statistically Equivalent Rules (SER).
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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