diff --git a/code/expt/dist_cor.py b/code/expt/dist_cor.py
index 039c5db..9b37d4b 100644
--- a/code/expt/dist_cor.py
+++ b/code/expt/dist_cor.py
@@ -45,7 +45,7 @@ def main(args):
     x_margin = bar_width*(len(dist_type)/2 + 1)
     plt.xlim(x_i.min() - x_margin, x_i.max() + x_margin)
     # The y axis
-    plt.ylabel('Privacy loss')  # Set y axis label.
+    plt.ylabel('Overall privacy loss')  # Set y axis label.
     plt.yscale('log')
     plt.ylim(epsilon/10, 100*len(seq))
     # plt.ylim(0, 10000)
@@ -55,15 +55,15 @@ def main(args):
       e = np.zeros(len(lmdk_n))
       a = np.zeros(len(lmdk_n))
       for i, n in enumerate(lmdk_n):
-        for r in range(args.reps):
+        for r in range(args.iter):
           # Generate landmarks
           lmdks = lmdk_lib.get_lmdks(seq, n, d)
           # Uniform budget allocation
           e_cur = lmdk_bgt.uniform(seq, lmdks, epsilon)
           _, _, a_cur = gdp.tpl_lmdk_mem(e_cur, p, p, seq, lmdks)
           # Save privacy loss
-          e[i] += np.sum(e_cur)/args.reps
-          a[i] += np.sum(a_cur)/args.reps
+          e[i] += np.sum(e_cur)/args.iter
+          a[i] += np.sum(a_cur)/args.iter
       # Set label
       label = lmdk_lib.dist_type_to_str(d_i)
       if d_i == 1:
@@ -94,21 +94,21 @@ def main(args):
     print(' [OK]', flush=True)
 
 
-'''
-  Parse arguments.
-
-  Optional:
-    reps - The number of repetitions.
-    time - The time limit of the sequence.
-'''
 def parse_args():
+  '''
+    Parse arguments.
+
+    Optional:
+      iter - The number of repetitions.
+      time - The time limit of the sequence.
+  '''
   # Create argument parser.
   parser = argparse.ArgumentParser()
 
   # Mandatory arguments.
 
   # Optional arguments.
-  parser.add_argument('-r', '--reps', help='The number of repetitions.', type=int, default=1)
+  parser.add_argument('-i', '--iter', help='The number of repetitions.', type=int, default=1)
   parser.add_argument('-t', '--time', help='The time limit of the sequence.', type=int, default=100)
 
   # Parse arguments.
diff --git a/graphics/evaluation/dist-cor-stg.pdf b/graphics/evaluation/dist-cor-stg.pdf
index 8df46a5..4d6ab40 100644
Binary files a/graphics/evaluation/dist-cor-stg.pdf and b/graphics/evaluation/dist-cor-stg.pdf differ
diff --git a/text/related/main.tex b/text/related/main.tex
index 5a0b6b0..c60101a 100644
--- a/text/related/main.tex
+++ b/text/related/main.tex
@@ -1,7 +1,7 @@
 \chapter{Related work}
 \label{ch:rel}
 
-\kat{Change the way you introduce the related work chapter; do not list a series of surveys. You should speak about the several directions for privacy preserving methods (and then citing the surveys if you want). Then, you should focus on the particular configuration that you are interested in (continual observation). Summarize what we will see in the next sections by  giving also the general structure of the chapter.}
+\kat{Change the way you introduce the related work chapter; do not list a series of surveys. You should speak about the several directions for privacy-preserving methods (and then citing the surveys if you want). Then, you should focus on the particular configuration that you are interested in (continual observation). Summarize what we will see in the next sections by  giving also the general structure of the chapter.}
 
 Since the domain of data privacy is vast, several surveys have already been published with different scopes.
 A group of surveys focuses on specific different families of privacy-preserving algorithms and techniques.