diff --git a/texpaper/Graf_066_ICCDS.tex b/texpaper/Graf_066_ICCDS.tex
index 693e8aa90fe137217e55a79dc4e892435dfe3dbf..4fb22eeefe89da31c699f79f61f953174f1376f9 100644
--- a/texpaper/Graf_066_ICCDS.tex
+++ b/texpaper/Graf_066_ICCDS.tex
@@ -190,7 +190,7 @@ This can lead for instance to movements through walls (see figure \ref{fig:lostA
 
 In order to avoid overlapping, the parameters that govern the forces need to be adapted to high density situations. 
 Either a model can implement a dynamic set of parameters, that yield best results in any situation or it can implement a constant set of parameters, that favour faster computation, yet represents always a compromise. 
-A compromise that works best in as many situations as possible with the risk of producing overlapping in extreme densities. (TODO: Ich verstehe diesen Satz nicht)
+A compromise that works best in as many scenalios as possible with the risk of producing overlapping in scenarios of extreme densities.
 
 \begin{figure}[h!]
 \centering
@@ -206,7 +206,7 @@ The check, if this limitation should be activated, imposes no further calculatio
 (todo: already available was? Fehlt was?)
 \begin{figure}[h!]
 \centering
-\includegraphics[width=0.6\textwidth]{pics/dualUse.png}
+\includegraphics[width=0.55\textwidth]{pics/dualUse.png}
 \caption{Reuseage of distance field in two vector fields.}
 \label{fig:stepusage}
 \end{figure}
@@ -217,8 +217,8 @@ Again, this mechanic seems to impose significant computational cost, but again,
 
 \begin{figure}[h!]
 \centering
-\includegraphics[width=0.6\textwidth]{pics/fulltraj2000.png}
-\includegraphics[width=0.6\textwidth]{pics/fulltraj2008.png}
+\includegraphics[width=0.5\textwidth]{pics/fulltraj2000.png}
+\includegraphics[width=0.5\textwidth]{pics/fulltraj2008.png}
 \caption{Trajectories of a bottleneck simulation. Above: plain floor field; Below: enhanced floor field, Width: 2 meters, low velocity: red, high velocity: teal.}
 \label{fig:traj}
 \end{figure}
@@ -351,12 +351,12 @@ This example shows further potential for floor fields.
 
 \section*{Summary and Conclusion}
  
- Floor Fields using the Eikonal equation with various slowness fields have been introduced and shown in example-scenarios. 
- The Strict-Boundary-Model is introduced through the distance-dependent slowness-reduction of the \emph{wave}-propagation speed. 
- Further potential is identified in the extension to dynamic aspects like the movement of agents, diffusion of smoke or the identification of congestion.
+ Floor fields using the Eikonal equation with various slowness fields have been introduced and shown in example-scenarios. 
+ The Strict-Boundary-Model is introduced through the distance-dependent slowness-reduction of the \emph{wave}-propagation speed to achieve trajectories with more natural \emph{feel} that closer resemble empiric data. 
+ Further potential is identified in the extension to dynamic aspects like the movement of agents and the identification of congestion.
  
  Depending on the computational power at hand, further aspects could be considered. 
- Always having to check, when the tide turns in terms of economics (improvement/additional cost).
+ Always having to check, when the tide turns in terms of economics (improvement / additional computational cost).
  % TODO: Was soll das heissen? Economics?
 
 
@@ -375,7 +375,7 @@ This example shows further potential for floor fields.
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