Exact(1)
Sometimes it may have been left logged on so just find it and delete it, or ask them to log on because your friend sent an email to their email account by accident.
Similar(59)
Then begin{aligned} Klesssim frac{1}{epsilon ^2}, left( log frac{1}{epsilon }right) ^{-1}, end{aligned}where the estimate (lesssim ) is uniform in (epsilon ).
with relative variance (sigma _{mathrm {r}} = left (left langle l_{0}^{2} right rangle _{D} - mu ^{2}right)^{1/2}/mu ), mean value μ=〈l 0〉 D, and variance (sigma = left (log left (1+sigma _{mathrm {r}}^{2}right)right)^{1/2}).
This, plus the fact that (0le ule 1), gives begin{aligned} frac{Kepsilon ^2}{2}cdot log left( frac{s}{epsilon }right) le 1, end{aligned}and thus begin{aligned} K lesssim frac{1}{epsilon ^2}, left( log frac{1}{epsilon }right) ^{-1}.
Using this, the concavity of (Z mapsto F Z,Y)) specified in (1), and the monotonicity of the logarithm, averaging both sides of (2.4) over j yields begin{aligned} mathrm{Tr}left[ exp left( log (F Z,Y)) -q log Yright) right] le mathrm{Tr}left[ exp left( log (F widehat{Z},Y)) - qlog Yright) right].
In this case, (widehat{Z} ) and Y commute so that by (3), begin{aligned} log (F widehat{Z},Y)) -q log Y = log widehat{Z} + qlog Y. end{aligned}Altogether, begin{aligned} mathrm{Tr}left[ exp left( log (F Z,Y)) -q log Yright) right] le mathrm{Tr}[ widehat{Z}] = mathrm{Tr}[ Z =1, end{aligned}and this proves (2.3).
Concerning summer storage, it may be important to stress that test stacks were prepared immediately after harvesting, leaving logs on the cutover for a very short time.
The estimated equation is a natural extension of equation (6), as differencing over p periods provides: log left({E}_{ist}right)- log left({E}_{is,t-p}right)={beta}_1left[ log left(M{W}_{ist}right)- log left(M{W}_{is,t-p}right)right]+{beta}_2left[{X}_{ist}-{X}_{is,t-p}right]+left({varphi}_t-{varphi}_{t-p}right)+{gamma}_ip+{varepsilon}_{ist}^.
Jeremy Corbyn's Twitter account was apparently hacked after one of his aides left it logged in on a hostel computer in Berlin, it has been reported.
But The Times Red Box reports that a staffer had used the account on a hostel computer in the German capital city and accidentally left it logged in.
Bangham's pore diffusion equation is as follows: log left[ log left({C}_{mathrm{i}}/{C}_{mathrm{i}}-{q}_{mathrm{t}}mright)right] = kern0.5em log left({k}_{mathrm{o}}/2.303 Vright) + alpha log (t).
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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
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