diff --git a/Manuscript/Ex-srDFT.tex b/Manuscript/Ex-srDFT.tex
index d49bf09..78953e6 100644
--- a/Manuscript/Ex-srDFT.tex
+++ b/Manuscript/Ex-srDFT.tex
@@ -284,8 +284,8 @@ The ECMD functional, $\bE{\text{c,md}}{\sr}[\n{}{},\rsmu{}{}]$, is a function of
 	\lim_{\mu \to 0}  \bE{\text{c,md}}{\sr}[\n{}{},\rsmu{}{}] & = \Ec[\n{}{}],
 \end{align}
 \end{subequations}
-which correspond to the WFT limit ($\mu \to \infty$) and the DFT limit ($\mu = 0$).
-In Eq.~\eqref{eq:small_mu_ecmd}, $\Ec[\n{}{}]$ is the usual universal correlation density functional defined in Kohn-Sham DFT. \cite{HohKoh-PR-64, KohSha-PR-65}
+which correspond to the WFT limit ($\mu \to \infty$) and the \manu{Kohn-Sham }DFT (KS-DFT) limit ($\mu = 0$).
+In Eq.~\eqref{eq:small_mu_ecmd}, $\Ec[\n{}{}]$ is the usual universal correlation density functional defined in \manu{KS-}DFT. \cite{HohKoh-PR-64, KohSha-PR-65}
 
 The key ingredient that allows us to exploit ECMD functionals for correcting the basis-set incompleteness error is the range-separated function
 \begin{equation}