diff --git a/README.rst b/README.rst
index df55336..b7f23df 100644
--- a/README.rst
+++ b/README.rst
@@ -1,9 +1,9 @@
 .. image:: SLIMEr.png
    :align: center
 
-Collection of scripts for adding SLIME (Split Lipids Into Measurable Entities) reactions into the genome-scale model of yeast. For more info, refer to the current pre-print: `SLIMEr: probing flexibility of lipid metabolism in yeast with an improved constraint-based modeling framework <https://www.biorxiv.org/content/early/2018/05/21/324863>`__.
+Collection of scripts for adding SLIME (Split Lipids Into Measurable Entities) reactions into the genome-scale model of yeast. For more info, refer to the current pre-print: `SLIMEr: probing flexibility of lipid metabolism in yeast with an improved constraint-based modeling framework <https://www.biorxiv.org/content/early/2018/09/14/324863>`__.
 
-Last update: 2018-05-30
+Last update: 2018-09-14
 
 This repository is administered by Benjamin J. Sanchez (`@BenjaSanchez <https://github.com/benjasanchez>`__), Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology.
 
@@ -22,6 +22,7 @@ Dependencies - Recommended Software:
 
 -  libSBML MATLAB API (version `5.16.0 <https://sourceforge.net/projects/sbml/files/libsbml/5.16.0/stable/MATLAB%20interface/>`__ is recommended).
 -  Gurobi Optimizer for MATLAB (version `7.5.2 <http://www.gurobi.com/registration/download-reg>`__ is recommended).
+-  An `implementation for Matlab <https://github.com/BenjaSanchez/cmaputil/tree/master/cmaputil_matlab>`__ of the `cividis colormap <https://journals.plos.org/plosone/article/comments?id=10.1371/journal.pone.0199239>`__.
 
 Contributors
 ------------
diff --git a/data/convertEjsingData.m b/data/convertEjsingData.m
index e3bfb79..5770888 100644
--- a/data/convertEjsingData.m
+++ b/data/convertEjsingData.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % data = convertEjsingData(data,model,condense)
 %
-% Benjam�n J. S�nchez. Last update: 2018-04-10
+% Benjamin J. Sanchez. Last update: 2018-09-09
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function data = convertEjsingData(data_old,model,condense)
@@ -50,6 +50,7 @@
 else
     %Only change units to g/gDW:
     data = changeUnits(data_old,MWs);
+    data.molarAbundance = data_old.abundance;
 end
 
 %Add missing data: composition and fluxes
@@ -110,4 +111,4 @@
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/models/changeOtherComp.m b/models/changeOtherComp.m
index 7fe0514..e78eca3 100644
--- a/models/changeOtherComp.m
+++ b/models/changeOtherComp.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % [model,GAMpol] = changeOtherComp(model,data)
 %
-% Benjam�n J. S�nchez. Last update: 2018-03-30
+% Benjamin J. Sanchez. Last update: 2018-09-04
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function [model,GAMpol] = changeOtherComp(model,data)
@@ -71,12 +71,15 @@
         compPos  = strcmp(comps(:,1),otherData.metIDs{i});
         if strcmp(comps{compPos,3},'C')
             rxnPos = strcmp(model.rxnNames,'carbohydrate pseudoreaction');
+            MW     = comps{compPos,2}-18;
         elseif strcmp(comps{compPos,3},'D')
             rxnPos = strcmp(model.rxnNames,'DNA pseudoreaction');
+            MW     = comps{compPos,2}-18;
         elseif strcmp(comps{compPos,3},'N')
             rxnPos = strcmp(model.rxnNames,'biomass pseudoreaction');
+            MW     = comps{compPos,2};
         end
-        model.S(modelPos,rxnPos) = -otherData.abundance(i)/comps{compPos,2}*1000;
+        model.S(modelPos,rxnPos) = -otherData.abundance(i)/MW*1000;
     end
 end
 
@@ -97,8 +100,8 @@
 
 %Estimate maintenance belonging to polymerization:
 [~,P,C,R,D,~] = sumBioMass(model,comps);
-GAMpol        = P*37.7 + C*12.8 + R*26.0 + D*26.0;    %F�rster 2003 (sup table 8)
+GAMpol        = P*37.7 + C*12.8 + R*26.0 + D*26.0;    %Forster 2003 (sup table 8)
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/models/modelsFromData.m b/models/modelsFromData.m
index 0bbe8a1..4c9ded2 100644
--- a/models/modelsFromData.m
+++ b/models/modelsFromData.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % [model_corrComp,model_SLIMEr,k,GAMpol] = modelsFromData(model,data,scaling)
 %
-% Benjam�n J. S�nchez. Last update: 2018-03-24
+% Benjamin J. Sanchez. Last update: 2018-09-05
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function [model_corrComp,model_SLIMEr,k,GAMpol] = modelsFromData(model,data,scaling)
@@ -12,14 +12,18 @@
 %Model with both lipid and chain length constrained to data:
 model_SLIMEr = SLIMEr(model,data,true);
 
-%Make abundances be consistent:
+%Correct the biomass composition with data:
+[model_corrComp,~] = changeOtherComp(model_corrComp,data);
+[model_SLIMEr,~]   = changeOtherComp(model_SLIMEr,data);
+
+%Make abundances of backbones & chains be consistent:
 [model_SLIMEr,k] = scaleAbundancesInModel(model_SLIMEr,data,scaling);
 model_corrComp   = adjustModel(model_corrComp,k,false,scaling);
 
-%Correct the rest of the composition to be consistent:
+%Correct again the biomass composition, to fix the new lipid content:
 [model_corrComp,~]    = changeOtherComp(model_corrComp,data);
 [model_SLIMEr,GAMpol] = changeOtherComp(model_SLIMEr,data);
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/models/scaleAbundancesInModel.m b/models/scaleAbundancesInModel.m
index 12a6ac9..902c105 100644
--- a/models/scaleAbundancesInModel.m
+++ b/models/scaleAbundancesInModel.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % [model,k] = scaleAbundancesInModel(model,data,scaling)
 %
-% Benjam�n J. S�nchez. Last update: 2018-03-26
+% Benjamin J. Sanchez. Last update: 2018-09-05
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function [model,k] = scaleAbundancesInModel(model,data,scaling)
@@ -14,6 +14,9 @@
 krange(1) = fminsearch(@(k) +minScaling(k,model,data,scaling,kOpt),kOpt);
 krange(2) = fminsearch(@(k) -minScaling(k,model,data,scaling,kOpt),kOpt);
 disp(['Optimality range: k = [ ' num2str(krange(1)) ' , ' num2str(krange(2)) ' ]'])
+if(krange(1) == krange(2))
+    error('Could not find an optimality range!')
+end
 
 %Scale with the average of the range:
 k     = mean(krange);
@@ -64,4 +67,4 @@
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/models/sumBioMass.m b/models/sumBioMass.m
index 17c559e..5ae7bfa 100644
--- a/models/sumBioMass.m
+++ b/models/sumBioMass.m
@@ -8,7 +8,7 @@
 % D -> DNA fraction [g/gDW]
 % L -> Lipid fraction [g/gDW]
 %
-% Benjam�n J. S�nchez. Last update: 2018-03-30
+% Benjamin J. Sanchez. Last update: 2018-09-04
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function [X,P,C,R,D,L] = sumBioMass(model,comps)
@@ -57,7 +57,7 @@
     for i = 1:length(model.mets)
         pos = strcmp(comps(:,1),model.mets{i});
         if sum(pos) == 1
-            abundance = -model.S(i,fractionPos)*comps{pos,2}/1000;
+            abundance = -model.S(i,fractionPos)*(comps{pos,2}-18)/1000;
             F         = F + abundance;
         end
     end
@@ -66,4 +66,4 @@
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/results/fig2A_chainPredictions.eps b/results/fig2A_chainPredictions.eps
index b2e77a8..0489aa2 100644
--- a/results/fig2A_chainPredictions.eps
+++ b/results/fig2A_chainPredictions.eps
@@ -1,7 +1,7 @@
 %!PS-Adobe-3.0 EPSF-3.0
 %%Creator: (MATLAB, The Mathworks, Inc. Version 9.4.0.813654 \(R2018a\). Operating System: Windows 10)
 %%Title: C:/Users/bensan/Documents/repos/SLIMEr/results/fig2A_chainPredictions.eps
-%%CreationDate: 2018-05-15T15:35:18
+%%CreationDate: 2018-09-06T09:32:55
 %%Pages: (atend)
 %%BoundingBox: 0 0 675 300
 %%LanguageLevel: 3
@@ -361,800 +361,842 @@ end
 [1 0 0 -1 0 300] CT
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-[0.5 0 0 0.5 0 0] CT
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 1 GC
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-0 0 1350 600 re
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-0 0 1350 600 re
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 f
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-[0.5 0 0 0.5 0 0] CT
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-176 534 M
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 cp
 f
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 2 setlinecap
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-176 534 M
-1222 534 L
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 S
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-[0.5 0 0 0.5 0 0] CT
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-[0.5 0 0 0.5 0 0] CT
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 GS
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 f
 GR
 GS
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 10.0 ML
+0.833 LW
 N
-481.083 534 M
-481.083 190.842 L
-539.194 190.842 L
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 10.0 ML
+0.833 LW
 N
-742.583 534 M
-742.583 534 L
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 0 0 1 RC
 N
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-335.806 379.989 L
-277.694 379.989 L
-277.694 534 L
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+279.222 316.5 L
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 cp
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-597.306 82.012 L
-539.194 82.012 L
-539.194 534 L
+497.222 445 M
+497.222 67.881 L
+448.778 67.881 L
+448.778 445 L
 cp
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-858.806 490.834 L
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+715.222 408.984 L
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 cp
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-1062.194 368.165 L
-1062.194 534 L
+933.222 445 M
+933.222 306.635 L
+884.778 306.635 L
+884.778 445 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
-277.694 534 M
-277.694 379.989 L
-335.806 379.989 L
-335.806 534 L
+230.778 445 M
+230.778 316.5 L
+279.222 316.5 L
+279.222 445 L
 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
-539.194 534 M
-539.194 82.012 L
-597.306 82.012 L
-597.306 534 L
+448.778 445 M
+448.778 67.881 L
+497.222 67.881 L
+497.222 445 L
 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
-800.694 534 M
-800.694 490.834 L
-858.806 490.834 L
-858.806 534 L
+666.778 445 M
+666.778 408.984 L
+715.222 408.984 L
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
-1062.194 534 M
-1062.194 368.165 L
-1120.306 368.165 L
-1120.306 534 L
+884.778 445 M
+884.778 306.635 L
+933.222 306.635 L
+933.222 445 L
 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 0 0 RC
 N
-393.917 534 M
-393.917 379.989 L
-335.806 379.989 L
-335.806 534 L
+327.667 445 M
+327.667 316.5 L
+279.222 316.5 L
+279.222 445 L
 cp
-655.417 534 M
-655.417 82.012 L
-597.306 82.012 L
-597.306 534 L
+545.667 445 M
+545.667 67.881 L
+497.222 67.881 L
+497.222 445 L
 cp
-916.917 534 M
-916.917 490.834 L
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diff --git a/results/fig2B_varNewModel.eps b/results/fig2B_varNewModel.eps
index 2889a14..e7c93ce 100644
--- a/results/fig2B_varNewModel.eps
+++ b/results/fig2B_varNewModel.eps
@@ -1,7 +1,7 @@
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-[0.5 0 0 0.5 0 0] CT
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 2 setlinecap
 10.0 ML
+0.833 LW
 N
-250.714 534 M
-288.071 534 L
-288.071 478.589 L
-250.714 478.589 L
-250.714 534 L
+208.286 445 M
+239.429 445 L
+239.429 398.687 L
+208.286 398.687 L
+208.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-250.714 534 M
-288.071 534 L
+208.286 445 M
+239.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-288.071 534 M
-325.429 534 L
-325.429 423.414 L
-288.071 423.414 L
+239.429 445 M
+270.571 445 L
+270.571 352.585 L
+239.429 352.585 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-288.071 534 M
-325.429 534 L
-325.429 423.414 L
-288.071 423.414 L
-288.071 534 L
+239.429 445 M
+270.571 445 L
+270.571 352.585 L
+239.429 352.585 L
+239.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-288.071 534 M
-325.429 534 L
+239.429 445 M
+270.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-325.429 534 M
-325.429 45 L
+270.571 445 M
+270.571 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-325.429 534 M
-362.786 534 L
-362.786 534 L
-325.429 534 L
-325.429 534 L
+270.571 445 M
+301.714 445 L
+301.714 445 L
+270.571 445 L
+270.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-325.429 534 M
-362.786 534 L
+270.571 445 M
+301.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-362.786 534 M
-400.143 534 L
-400.143 467.126 L
-362.786 467.126 L
+301.714 445 M
+332.857 445 L
+332.857 389.142 L
+301.714 389.142 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-362.786 534 M
-400.143 534 L
-400.143 467.126 L
-362.786 467.126 L
-362.786 534 L
+301.714 445 M
+332.857 445 L
+332.857 389.142 L
+301.714 389.142 L
+301.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-362.786 534 M
-400.143 534 L
+301.714 445 M
+332.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-400.143 534 M
-437.5 534 L
-437.5 534 L
-400.143 534 L
-400.143 534 L
+332.857 445 M
+364 445 L
+364 445 L
+332.857 445 L
+332.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-400.143 534 M
-437.5 534 L
+332.857 445 M
+364 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-437.5 534 M
-474.857 534 L
-474.857 462.903 L
-437.5 462.903 L
+364 445 M
+395.143 445 L
+395.143 385.575 L
+364 385.575 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-437.5 534 M
-474.857 534 L
-474.857 462.903 L
-437.5 462.903 L
-437.5 534 L
+364 445 M
+395.143 445 L
+395.143 385.575 L
+364 385.575 L
+364 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-437.5 462.903 M
-474.857 462.903 L
+364 385.68 M
+395.143 385.68 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-474.857 534 M
-474.857 45 L
+395.143 445 M
+395.143 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-474.857 534 M
-512.214 534 L
-512.214 497.669 L
-474.857 497.669 L
+395.143 445 M
+426.286 445 L
+426.286 414.634 L
+395.143 414.634 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-474.857 534 M
-512.214 534 L
-512.214 497.669 L
-474.857 497.669 L
-474.857 534 L
+395.143 445 M
+426.286 445 L
+426.286 414.634 L
+395.143 414.634 L
+395.143 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-474.857 534 M
-512.214 534 L
+395.143 445 M
+426.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-512.214 534 M
-549.571 534 L
-549.571 497.668 L
-512.214 497.668 L
+426.286 445 M
+457.429 445 L
+457.429 414.632 L
+426.286 414.632 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-512.214 534 M
-549.571 534 L
-549.571 497.668 L
-512.214 497.668 L
-512.214 534 L
+426.286 445 M
+457.429 445 L
+457.429 414.632 L
+426.286 414.632 L
+426.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-512.214 497.668 M
-549.571 497.668 L
+426.286 414.686 M
+457.429 414.686 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-549.571 534 M
-586.929 534 L
-586.929 497.683 L
-549.571 497.683 L
+457.429 445 M
+488.571 445 L
+488.571 414.647 L
+457.429 414.647 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-549.571 534 M
-586.929 534 L
-586.929 497.683 L
-549.571 497.683 L
-549.571 534 L
+457.429 445 M
+488.571 445 L
+488.571 414.647 L
+457.429 414.647 L
+457.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-549.571 534 M
-586.929 534 L
+457.429 445 M
+488.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-586.929 534 M
-624.286 534 L
-624.286 497.682 L
-586.929 497.682 L
+488.571 445 M
+519.714 445 L
+519.714 414.647 L
+488.571 414.647 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-586.929 534 M
-624.286 534 L
-624.286 497.682 L
-586.929 497.682 L
-586.929 534 L
+488.571 445 M
+519.714 445 L
+519.714 414.647 L
+488.571 414.647 L
+488.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-586.929 534 M
-624.286 534 L
+488.571 445 M
+519.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-624.286 534 M
-624.286 45 L
+519.714 445 M
+519.714 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-624.286 534 M
-661.643 534 L
-661.643 483.167 L
-624.286 483.167 L
+519.714 445 M
+550.857 445 L
+550.857 402.513 L
+519.714 402.513 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-624.286 534 M
-661.643 534 L
-661.643 483.167 L
-624.286 483.167 L
-624.286 534 L
+519.714 445 M
+550.857 445 L
+550.857 402.513 L
+519.714 402.513 L
+519.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-624.286 534 M
-661.643 534 L
+519.714 445 M
+550.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-661.643 534 M
-699 534 L
-699 432.855 L
-661.643 432.855 L
+550.857 445 M
+582 445 L
+582 360.461 L
+550.857 360.461 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-661.643 534 M
-699 534 L
-699 432.855 L
-661.643 432.855 L
-661.643 534 L
+550.857 445 M
+582 445 L
+582 360.461 L
+550.857 360.461 L
+550.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-661.643 482.191 M
-699 482.191 L
+550.857 401.773 M
+582 401.773 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-699 534 M
-736.357 534 L
-736.357 479.682 L
-699 479.682 L
+582 445 M
+613.143 445 L
+613.143 399.6 L
+582 399.6 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-699 534 M
-736.357 534 L
-736.357 479.682 L
-699 479.682 L
-699 534 L
+582 445 M
+613.143 445 L
+613.143 399.6 L
+582 399.6 L
+582 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-699 483.021 M
-736.357 483.021 L
+582 402.466 M
+613.143 402.466 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-736.357 534 M
-773.714 534 L
-773.714 429.698 L
-736.357 429.698 L
+613.143 445 M
+644.286 445 L
+644.286 357.834 L
+613.143 357.834 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-736.357 534 M
-773.714 534 L
-773.714 429.698 L
-736.357 429.698 L
-736.357 534 L
+613.143 445 M
+644.286 445 L
+644.286 357.834 L
+613.143 357.834 L
+613.143 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-736.357 534 M
-773.714 534 L
+613.143 445 M
+644.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-773.714 534 M
-773.714 45 L
+644.286 445 M
+644.286 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-773.714 534 M
-811.071 534 L
-811.071 336.301 L
-773.714 336.301 L
+644.286 445 M
+675.429 445 L
+675.429 279.758 L
+644.286 279.758 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-773.714 534 M
-811.071 534 L
-811.071 336.301 L
-773.714 336.301 L
-773.714 534 L
+644.286 445 M
+675.429 445 L
+675.429 279.758 L
+644.286 279.758 L
+644.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-773.714 336.301 M
-811.071 336.301 L
+644.286 280.049 M
+675.429 280.049 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-811.071 513.028 M
-848.429 513.028 L
-848.429 94.613 L
-811.071 94.613 L
+675.429 427.502 M
+706.571 427.502 L
+706.571 77.833 L
+675.429 77.833 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-811.071 513.028 M
-848.429 513.028 L
-848.429 94.613 L
-811.071 94.613 L
-811.071 513.028 L
+675.429 427.502 M
+706.571 427.502 L
+706.571 77.833 L
+675.429 77.833 L
+675.429 427.502 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-811.071 433.471 M
-848.429 433.471 L
+675.429 361.123 M
+706.571 361.123 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-848.429 534 M
-885.786 534 L
-885.786 478.589 L
-848.429 478.589 L
+706.571 445 M
+737.714 445 L
+737.714 398.692 L
+706.571 398.692 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-848.429 534 M
-885.786 534 L
-885.786 478.589 L
-848.429 478.589 L
-848.429 534 L
+706.571 445 M
+737.714 445 L
+737.714 398.692 L
+706.571 398.692 L
+706.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-848.429 529.567 M
-885.786 529.567 L
+706.571 441.302 M
+737.714 441.302 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-885.786 534 M
-923.143 534 L
-923.143 321.123 L
-885.786 321.123 L
+737.714 445 M
+768.857 445 L
+768.857 267.189 L
+737.714 267.189 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-885.786 534 M
-923.143 534 L
-923.143 321.123 L
-885.786 321.123 L
-885.786 534 L
+737.714 445 M
+768.857 445 L
+768.857 267.189 L
+737.714 267.189 L
+737.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-885.786 392.22 M
-923.143 392.22 L
+737.714 326.705 M
+768.857 326.705 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-923.143 534 M
-923.143 45 L
+768.857 445 M
+768.857 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-923.143 534 M
-960.5 534 L
-960.5 471.033 L
-923.143 471.033 L
+768.857 445 M
+800 445 L
+800 392.371 L
+768.857 392.371 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-923.143 534 M
-960.5 534 L
-960.5 471.033 L
-923.143 471.033 L
-923.143 534 L
+768.857 445 M
+800 445 L
+800 392.371 L
+768.857 392.371 L
+768.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-923.143 534 M
-960.5 534 L
+768.857 445 M
+800 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-960.5 534 M
-997.857 534 L
-997.857 408.689 L
-960.5 408.689 L
+800 445 M
+831.143 445 L
+831.143 340.262 L
+800 340.262 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-960.5 534 M
-997.857 534 L
-997.857 408.689 L
-960.5 408.689 L
-960.5 534 L
+800 445 M
+831.143 445 L
+831.143 340.262 L
+800 340.262 L
+800 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-960.5 408.689 M
-997.857 408.689 L
+800 340.446 M
+831.143 340.446 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-997.857 534 M
-1035.214 534 L
-1035.214 478.589 L
-997.857 478.589 L
+831.143 445 M
+862.286 445 L
+862.286 398.687 L
+831.143 398.687 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-997.857 534 M
-1035.214 534 L
-1035.214 478.589 L
-997.857 478.589 L
-997.857 534 L
+831.143 445 M
+862.286 445 L
+862.286 398.687 L
+831.143 398.687 L
+831.143 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-997.857 534 M
-1035.214 534 L
+831.143 445 M
+862.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-1035.214 534 M
-1072.571 534 L
-1072.571 405.363 L
-1035.214 405.363 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
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 N
-1035.214 534 M
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-1035.214 405.363 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 1 LJ
-5 LW
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 N
-1035.214 534 M
-1072.571 534 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 [10 6] 0 setdash
 2 LJ
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 N
-1072.571 534 M
-1072.571 45 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-1072.571 534 M
-1109.929 534 L
-1109.929 427.23 L
-1072.571 427.23 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 2 setlinecap
 10.0 ML
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 N
-1072.571 534 M
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-1109.929 427.23 L
-1072.571 427.23 L
-1072.571 534 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 1 LJ
-5 LW
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 N
-1072.571 534 M
-1109.929 534 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-1109.929 534 M
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-1147.286 374.305 L
-1109.929 374.305 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 2 setlinecap
 10.0 ML
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 N
-1109.929 534 M
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
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 N
-1109.929 374.305 M
-1147.286 374.305 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
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 N
-1147.286 534 M
-1184.643 534 L
-1184.643 478.589 L
-1147.286 478.589 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
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 N
-1147.286 534 M
-1184.643 534 L
-1184.643 478.589 L
-1147.286 478.589 L
-1147.286 534 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
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 N
-1147.286 534 M
-1184.643 534 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-1184.643 534 M
-1222 534 L
-1222 405.45 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
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 N
-1184.643 534 M
-1222 534 L
-1222 405.45 L
-1184.643 405.45 L
-1184.643 534 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-1184.643 534 M
-1222 534 L
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 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
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 N
-1222 534 M
-1222 45 L
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 S
 GR
 GS
-[0.5 0 0 0.5 131.39749 38.48218] CT
-/Helvetica 21.6 F
+[0.6 0 0 0.6 130.73835 37.81073] CT
+/Helvetica 18 F
 GS
 [1 0 0 1 0 0] CT
-0 8 moveto 
+0 6.5 moveto 
 1 -1 scale
 (16:0) t 
 GR
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-258.276 87.341 M
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-198.025 66.588 L
-198.025 87.341 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
-198.025 87.341 M
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-258.276 66.588 L
-258.276 87.341 L
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 131.39749 51.82739] CT
-/Helvetica 21.6 F
+[0.6 0 0 0.6 130.73835 50.80357] CT
+/Helvetica 18 F
 GS
 [1 0 0 1 0 0] CT
-0 8 moveto 
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 1 -1 scale
 (16:1) t 
 GR
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-258.276 114.032 M
-258.276 93.278 L
-198.025 93.278 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
-198.025 114.032 M
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 131.39749 65.17261] CT
-/Helvetica 21.6 F
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+/Helvetica 18 F
 GS
 [1 0 0 1 0 0] CT
-0 8 moveto 
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 1 -1 scale
 (18:0) t 
 GR
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-258.276 140.722 M
-258.276 119.968 L
-198.025 119.968 L
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 10.0 ML
+0.833 LW
 N
-198.025 140.722 M
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 131.39749 78.51781] CT
-/Helvetica 21.6 F
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 GS
 [1 0 0 1 0 0] CT
-0 8 moveto 
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 1 -1 scale
 (18:1) t 
 GR
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
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+1 0.918 0.275 RC
 N
-258.276 167.412 M
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 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 10.0 ML
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 N
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 cp
 S
 GR
diff --git a/results/fig3A_validation.eps b/results/fig3A_validation.eps
index ba0360b..8e00988 100644
--- a/results/fig3A_validation.eps
+++ b/results/fig3A_validation.eps
@@ -1,7 +1,7 @@
 %!PS-Adobe-3.0 EPSF-3.0
 %%Creator: (MATLAB, The Mathworks, Inc. Version 9.4.0.813654 \(R2018a\). Operating System: Windows 10)
-%%Title: C:/Users/bensan/Documents/repos/SLIMEr/results/fig3_validation.eps
-%%CreationDate: 2018-05-06T11:49:32
+%%Title: C:/Users/bensan/Documents/repos/SLIMEr/results/fig3A_validation.eps
+%%CreationDate: 2018-09-08T13:41:03
 %%Pages: (atend)
 %%BoundingBox: 0 0 1050 300
 %%LanguageLevel: 3
@@ -240,1375 +240,1332 @@ GS
 } stopped {handleerror} if
   RawData flushfile
 } exec
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 GR
@@ -1644,363 +1601,359 @@ GS
 } stopped {handleerror} if
   RawData flushfile
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 %AXGEndBitmap
 GR
diff --git a/results/fig3B_PCA.eps b/results/fig3B_PCA.eps
index cad8cc2..53bfbfc 100644
--- a/results/fig3B_PCA.eps
+++ b/results/fig3B_PCA.eps
@@ -1,7 +1,7 @@
 %!PS-Adobe-3.0 EPSF-3.0
 %%Creator: (MATLAB, The Mathworks, Inc. Version 9.4.0.813654 \(R2018a\). Operating System: Windows 10)
-%%Title: C:/Users/bensan/Documents/repos/SLIMEr/results/fig4_PCA.eps
-%%CreationDate: 2018-05-15T13:24:53
+%%Title: C:/Users/bensan/Documents/repos/SLIMEr/results/fig3B_PCA.eps
+%%CreationDate: 2018-09-08T13:38:53
 %%Pages: (atend)
 %%BoundingBox: 0 0 450 450
 %%LanguageLevel: 3
@@ -203,26 +203,26 @@ b4_Inc_state restore
 [1 0 0 -1 0 450] CT
 %%EndPageSetup
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 GC
 N
-0 0 900 900 re
+0 0 750 750 re
 f
 GR
 GS
-[0.47974 0 0 0.47974 0 18.23028] CT
+[0.47974 0 0 0.47974 0 90.1919] CT
 [1 0 0 1 0 0] CT
 N
-0 -38 M
-938 -38 L
-938 900 L
-0 900 L
-0 -38 L
+0 -188 M
+938 -188 L
+938 750 L
+0 750 L
+0 -188 L
 cp
 clip
 GS
 0 0 translate
-900 900 scale
+750 750 scale
 %AXGBeginBitmap: java.awt.image.BufferedImage
 {{
 /RawData currentfile /ASCII85Decode filter def
@@ -232,3389 +232,2937 @@ GS
   /ImageType 1
   /Decode [0 1 0 1 0 1]
   /DataSource Data
-  /Height 900
-  /ImageMatrix [900 0 0 900 0 0]
-  /Width 900
+  /Height 750
+  /ImageMatrix [750 0 0 750 0 0]
+  /Width 750
   /BitsPerComponent 8
 >> image
 } stopped {handleerror} if
   RawData flushfile
 } exec
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 GR
 GR
 GS
-[0.47974 0 0 0.47974 431.76975 18.23028] CT
+[0.47974 0 0 0.47974 359.80813 90.1919] CT
 [1 0 0 1 0 0] CT
 N
--900 -38 M
-38 -38 L
-38 900 L
--900 900 L
--900 -38 L
+-750 -188 M
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+188 750 L
+-750 750 L
+-750 -188 L
 cp
 clip
 GS
 0 0 translate
-38 900 scale
+188 750 scale
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 {{
 /RawData currentfile /ASCII85Decode filter def
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-  /ImageMatrix [38 0 0 900 0 0]
-  /Width 38
+  /Height 750
+  /ImageMatrix [188 0 0 750 0 0]
+  /Width 188
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 >> image
 } stopped {handleerror} if
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 GR
@@ -3650,7 +3477,7 @@ cp
 clip
 GS
 0 0 translate
-900 38 scale
+750 188 scale
 %AXGBeginBitmap: java.awt.image.BufferedImage
 {{
 /RawData currentfile /ASCII85Decode filter def
@@ -3660,33 +3487,369 @@ GS
   /ImageType 1
   /Decode [0 1 0 1 0 1]
   /DataSource Data
-  /Height 38
-  /ImageMatrix [900 0 0 38 0 0]
-  /Width 900
+  /Height 188
+  /ImageMatrix [750 0 0 188 0 0]
+  /Width 750
   /BitsPerComponent 8
 >> image
 } stopped {handleerror} if
   RawData flushfile
 } exec
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 (2.2) t 
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 2 setlinecap
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-[0.5 0 0 0.5 0 0] CT
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-[0.5 0 0 0.5 0 0] CT
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 2 setlinecap
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-[0.5 0 0 0.5 0 0] CT
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 2 setlinecap
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 [1 0 0 1 0 0] CT
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 [1 0 0 1 0 0] CT
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-[0.5 0 0 0.5 0 0] CT
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 GR
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-[0.5 0 0 0.5 49 191.85663] CT
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 cp
 clip
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 10.0 ML
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 cp
 S
 GR
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-[0.5 0 0 0.5 145.83333 229.85619] CT
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 10.0 ML
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 cp
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 GR
 GS
-[0.5 0 0 0.5 242.66667 207.16708] CT
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 10.0 ML
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 339.5 164.44214] CT
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 N
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 cp
 clip
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 1 LJ
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 S
 GR
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 cp
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 10.0 ML
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 N
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 145.83333 195.24059] CT
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 10.0 ML
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 242.66667 184.3609] CT
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 10.0 ML
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 339.5 132.57953] CT
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 N
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 cp
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 10.0 ML
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
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 GR
 GS
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 cp
 clip
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 10.0 ML
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 145.83333 82.66058] CT
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 10.0 ML
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 cp
 S
 GR
 GS
-[0.5 0 0 0.5 242.66667 99.1936] CT
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 10.0 ML
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 cp
 S
 GR
 GS
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 N
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 cp
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 cp
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 GR
 GS
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 cp
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 GS
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 cp
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 10.0 ML
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 cp
 S
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 N
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 cp
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 GR
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+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-362.786 534 M
-400.143 534 L
-400.143 467.126 L
-362.786 467.126 L
-362.786 534 L
+301.714 445 M
+332.857 445 L
+332.857 389.128 L
+301.714 389.128 L
+301.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-362.786 534 M
-400.143 534 L
+301.714 445 M
+332.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-400.143 534 M
-437.5 534 L
-437.5 534 L
-400.143 534 L
-400.143 534 L
+332.857 445 M
+364 445 L
+364 445 L
+332.857 445 L
+332.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-400.143 534 M
-437.5 534 L
+332.857 445 M
+364 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-437.5 534 M
-474.857 534 L
-474.857 462.903 L
-437.5 462.903 L
+364 445 M
+395.143 445 L
+395.143 385.574 L
+364 385.574 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-437.5 534 M
-474.857 534 L
-474.857 462.903 L
-437.5 462.903 L
-437.5 534 L
+364 445 M
+395.143 445 L
+395.143 385.574 L
+364 385.574 L
+364 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-437.5 462.903 M
-474.857 462.903 L
+364 385.68 M
+395.143 385.68 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-474.857 534 M
-474.857 45 L
+395.143 445 M
+395.143 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-474.857 534 M
-512.214 534 L
-512.214 497.669 L
-474.857 497.669 L
+395.143 445 M
+426.286 445 L
+426.286 414.633 L
+395.143 414.633 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-474.857 534 M
-512.214 534 L
-512.214 497.669 L
-474.857 497.669 L
-474.857 534 L
+395.143 445 M
+426.286 445 L
+426.286 414.633 L
+395.143 414.633 L
+395.143 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-474.857 497.669 M
-512.214 497.669 L
+395.143 414.687 M
+426.286 414.687 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-512.214 534 M
-549.571 534 L
-549.571 497.668 L
-512.214 497.668 L
+426.286 445 M
+457.429 445 L
+457.429 414.646 L
+426.286 414.646 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-512.214 534 M
-549.571 534 L
-549.571 497.668 L
-512.214 497.668 L
-512.214 534 L
+426.286 445 M
+457.429 445 L
+457.429 414.646 L
+426.286 414.646 L
+426.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-512.214 534 M
-549.571 534 L
+426.286 445 M
+457.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-549.571 534 M
-586.929 534 L
-586.929 497.683 L
-549.571 497.683 L
+457.429 445 M
+488.571 445 L
+488.571 414.647 L
+457.429 414.647 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-549.571 534 M
-586.929 534 L
-586.929 497.683 L
-549.571 497.683 L
-549.571 534 L
+457.429 445 M
+488.571 445 L
+488.571 414.647 L
+457.429 414.647 L
+457.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-549.571 534 M
-586.929 534 L
+457.429 445 M
+488.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-586.929 534 M
-624.286 534 L
-624.286 497.682 L
-586.929 497.682 L
+488.571 445 M
+519.714 445 L
+519.714 414.659 L
+488.571 414.659 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-586.929 534 M
-624.286 534 L
-624.286 497.682 L
-586.929 497.682 L
-586.929 534 L
+488.571 445 M
+519.714 445 L
+519.714 414.659 L
+488.571 414.659 L
+488.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-586.929 534 M
-624.286 534 L
+488.571 445 M
+519.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-624.286 534 M
-624.286 45 L
+519.714 445 M
+519.714 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-624.286 534 M
-661.643 534 L
-661.643 483.167 L
-624.286 483.167 L
+519.714 445 M
+550.857 445 L
+550.857 402.512 L
+519.714 402.512 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-624.286 534 M
-661.643 534 L
-661.643 483.167 L
-624.286 483.167 L
-624.286 534 L
+519.714 445 M
+550.857 445 L
+550.857 402.512 L
+519.714 402.512 L
+519.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-624.286 483.167 M
-661.643 483.167 L
+519.714 402.587 M
+550.857 402.587 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-661.643 534 M
-699 534 L
-699 432.855 L
-661.643 432.855 L
+550.857 445 M
+582 445 L
+582 360.513 L
+550.857 360.513 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-661.643 534 M
-699 534 L
-699 432.855 L
-661.643 432.855 L
-661.643 534 L
+550.857 445 M
+582 445 L
+582 360.513 L
+550.857 360.513 L
+550.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-661.643 483.567 M
-699 483.567 L
+550.857 402.921 M
+582 402.921 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-699 534 M
-736.357 534 L
-736.357 479.682 L
-699 479.682 L
+582 445 M
+613.143 445 L
+613.143 399.605 L
+582 399.605 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-699 534 M
-736.357 534 L
-736.357 479.682 L
-699 479.682 L
-699 534 L
+582 445 M
+613.143 445 L
+613.143 399.605 L
+582 399.605 L
+582 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-699 534 M
-736.357 534 L
+582 445 M
+613.143 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-736.357 534 M
-773.714 534 L
-773.714 429.698 L
-736.357 429.698 L
+613.143 445 M
+644.286 445 L
+644.286 357.895 L
+613.143 357.895 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-736.357 534 M
-773.714 534 L
-773.714 429.698 L
-736.357 429.698 L
-736.357 534 L
+613.143 445 M
+644.286 445 L
+644.286 357.895 L
+613.143 357.895 L
+613.143 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-736.357 534 M
-773.714 534 L
+613.143 445 M
+644.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-773.714 534 M
-773.714 45 L
+644.286 445 M
+644.286 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-773.714 534 M
-811.071 534 L
-811.071 313.175 L
-773.714 313.175 L
+644.286 445 M
+675.429 445 L
+675.429 260.427 L
+644.286 260.427 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-773.714 534 M
-811.071 534 L
-811.071 313.175 L
-773.714 313.175 L
-773.714 534 L
+644.286 445 M
+675.429 445 L
+675.429 260.427 L
+644.286 260.427 L
+644.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-773.714 313.175 M
-811.071 313.175 L
+644.286 260.754 M
+675.429 260.754 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-811.071 534 M
-848.429 534 L
-848.429 177.773 L
-811.071 177.773 L
+675.429 445 M
+706.571 445 L
+706.571 144.003 L
+675.429 144.003 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-811.071 534 M
-848.429 534 L
-848.429 177.773 L
-811.071 177.773 L
-811.071 534 L
+675.429 445 M
+706.571 445 L
+706.571 144.003 L
+675.429 144.003 L
+675.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-811.071 314.911 M
-848.429 314.911 L
+675.429 262.202 M
+706.571 262.202 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-848.429 534 M
-885.786 534 L
-885.786 292.986 L
-848.429 292.986 L
+706.571 445 M
+737.714 445 L
+737.714 243.83 L
+706.571 243.83 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-848.429 534 M
-885.786 534 L
-885.786 292.986 L
-848.429 292.986 L
-848.429 534 L
+706.571 445 M
+737.714 445 L
+737.714 243.83 L
+706.571 243.83 L
+706.571 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-848.429 534 M
-885.786 534 L
+706.571 445 M
+737.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-885.786 534 M
-923.143 534 L
-923.143 217.932 L
-885.786 217.932 L
+737.714 445 M
+768.857 445 L
+768.857 178.553 L
+737.714 178.553 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-885.786 534 M
-923.143 534 L
-923.143 217.932 L
-885.786 217.932 L
-885.786 534 L
+737.714 445 M
+768.857 445 L
+768.857 178.553 L
+737.714 178.553 L
+737.714 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-885.786 534 M
-923.143 534 L
+737.714 445 M
+768.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-923.143 534 M
-923.143 45 L
+768.857 445 M
+768.857 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-923.143 534 M
-960.5 534 L
-960.5 471.033 L
-923.143 471.033 L
+768.857 445 M
+800 445 L
+800 392.37 L
+768.857 392.37 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-923.143 534 M
-960.5 534 L
-960.5 471.033 L
-923.143 471.033 L
-923.143 534 L
+768.857 445 M
+800 445 L
+800 392.37 L
+768.857 392.37 L
+768.857 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-923.143 471.033 M
-960.5 471.033 L
+768.857 392.463 M
+800 392.463 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-960.5 534 M
-997.857 534 L
-997.857 408.689 L
-960.5 408.689 L
+800 445 M
+831.143 445 L
+831.143 340.343 L
+800 340.343 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-960.5 534 M
-997.857 534 L
-997.857 408.689 L
-960.5 408.689 L
-960.5 534 L
+800 445 M
+831.143 445 L
+831.143 340.343 L
+800 340.343 L
+800 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-960.5 471.528 M
-997.857 471.528 L
+800 392.876 M
+831.143 392.876 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.502 0.502 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.651 0.616 0.459 RC
 N
-997.857 534 M
-1035.214 534 L
-1035.214 466.873 L
-997.857 466.873 L
+831.143 445 M
+862.286 445 L
+862.286 388.902 L
+831.143 388.902 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-997.857 534 M
-1035.214 534 L
-1035.214 466.873 L
-997.857 466.873 L
-997.857 534 L
+831.143 445 M
+862.286 445 L
+862.286 388.902 L
+831.143 388.902 L
+831.143 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-997.857 534 M
-1035.214 534 L
+831.143 445 M
+862.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.8 0.302 0 RC
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
 N
-1035.214 534 M
-1072.571 534 L
-1072.571 405.363 L
-1035.214 405.363 L
+862.286 445 M
+893.429 445 L
+893.429 337.592 L
+862.286 337.592 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-1035.214 534 M
-1072.571 534 L
-1072.571 405.363 L
-1035.214 405.363 L
-1035.214 534 L
+862.286 445 M
+893.429 445 L
+893.429 337.592 L
+862.286 337.592 L
+862.286 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-1035.214 534 M
-1072.571 534 L
+862.286 445 M
+893.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 [10 6] 0 setdash
 2 LJ
+0.833 LW
 N
-1072.571 534 M
-1072.571 45 L
+893.429 445 M
+893.429 37 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0 1 0 RC
+[0.6 0 0 0.6 0 0] CT
+0 0.125 0.302 RC
 N
-1072.571 534 M
-1109.929 534 L
-1109.929 427.23 L
-1072.571 427.23 L
+893.429 445 M
+924.571 445 L
+924.571 355.758 L
+893.429 355.758 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-1072.571 534 M
-1109.929 534 L
-1109.929 427.23 L
-1072.571 427.23 L
-1072.571 534 L
+893.429 445 M
+924.571 445 L
+924.571 355.758 L
+893.429 355.758 L
+893.429 445 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 1 LJ
-5 LW
+4.167 LW
 N
-1072.571 427.23 M
-1109.929 427.23 L
+893.429 355.916 M
+924.571 355.916 L
 S
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
-0.2 0.702 0 RC
+[0.6 0 0 0.6 0 0] CT
+0.341 0.361 0.427 RC
 N
-1109.929 534 M
-1147.286 534 L
-1147.286 374.305 L
-1109.929 374.305 L
+924.571 445 M
+955.714 445 L
+955.714 311.699 L
+924.571 311.699 L
 cp
 f
 GR
 GS
-[0.5 0 0 0.5 0 0] CT
+[0.6 0 0 0.6 0 0] CT
 2 setlinecap
 10.0 ML
+0.833 LW
 N
-1109.929 534 M
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+  /UnderlineThickness get Ts mul /Tt exch def
+  ux uy To add cs 10 mul 26 idiv add moveto Tcx uy To add cs 10 mul 26 idiv add lineto
+  Tt setlinewidth stroke
+  grestore
+} bd
+/QT {
+/Y22 exch store
+/X22 exch store
+/Y21 exch store
+/X21 exch store
+currentpoint
+/Y21 load 2 mul add 3 div exch
+/X21 load 2 mul add 3 div exch
+/X21 load 2 mul /X22 load add 3 div
+/Y21 load 2 mul /Y22 load add 3 div
+/X22 load /Y22 load curveto
+} bd
+/SSPD {
+dup length /d exch dict def
+{
+/v exch def
+/k exch def
+currentpagedevice k known {
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+v cpdv ne {
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+/nullcpdv cpdv type /nulltype eq def
+nullv nullcpdv or
+{
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+} {
+/sametype v type cpdv type eq def
+sametype {
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+/cpdvlen cpdv length def
+vlen cpdvlen eq {
+0 1 vlen 1 sub {
+/i exch def
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+obj cpdobj ne {
+/upd true def
+exit
+} if
+} for
+} {
+/upd true def
+} ifelse
+} {
+v type /dicttype eq {
+v {
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+/cpddv cpdv dk get def
+dv cpddv ne {
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+exit
+} if
+} forall
+} {
+/upd true def
+} ifelse
+} ifelse
+} if
+} ifelse
+upd true eq {
+d k v put
+} if
+} if
+} if
+} forall
+d length 0 gt {
+d setpagedevice
+} if
+} bd
+/RE { % /NewFontName [NewEncodingArray] /FontName RE -
+  findfont dup length dict begin
+  {
+    1 index /FID ne
+    {def} {pop pop} ifelse
+  } forall
+  /Encoding exch def
+  /FontName 1 index def
+  currentdict definefont pop
+  end
+} bind def
+%%EndResource
+%%BeginResource: procset (Apache XML Graphics EPS ProcSet) 1.0 0
+%%Version: 1.0 0
+%%Copyright: (Copyright 2002-2003 The Apache Software Foundation. License terms: http://www.apache.org/licenses/LICENSE-2.0)
+/BeginEPSF { %def
+/b4_Inc_state save def         % Save state for cleanup
+/dict_count countdictstack def % Count objects on dict stack
+/op_count count 1 sub def      % Count objects on operand stack
+userdict begin                 % Push userdict on dict stack
+/showpage { } def              % Redefine showpage, { } = null proc
+0 setgray 0 setlinecap         % Prepare graphics state
+1 setlinewidth 0 setlinejoin
+10 setmiterlimit [ ] 0 setdash newpath
+/languagelevel where           % If level not equal to 1 then
+{pop languagelevel             % set strokeadjust and
+1 ne                           % overprint to their defaults.
+{false setstrokeadjust false setoverprint
+} if
+} if
+} bd
+/EndEPSF { %def
+count op_count sub {pop} repeat            % Clean up stacks
+countdictstack dict_count sub {end} repeat
+b4_Inc_state restore
+} bd
+%%EndResource
+%%EndProlog
+%%Page: 1 1
+%%PageBoundingBox: 0 0 1016 1086
+%%BeginPageSetup
+[1 0 0 -1 0 1086] CT
+%%EndPageSetup
+GS
+[1.00634 0 0 1.00556 0 0] CT
+1 GC
+N
+0 0 1010 1080 re
+f
+GR
+GS
+[0.47989 0 0 0.48011 0 513.71356] CT
+[1 0 0 1 0 0] CT
+N
+0 -1070 M
+2118 -1070 L
+2118 1192 L
+0 1192 L
+0 -1070 L
+cp
+clip
+GS
+0 0 translate
+1029 1192 scale
+%AXGBeginBitmap: java.awt.image.BufferedImage
+{{
+/RawData currentfile /ASCII85Decode filter def
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+/DeviceRGB setcolorspace
+<<
+  /ImageType 1
+  /Decode [0 1 0 1 0 1]
+  /DataSource Data
+  /Height 1192
+  /ImageMatrix [1029 0 0 1192 0 0]
+  /Width 1029
+  /BitsPerComponent 8
+>> image
+} stopped {handleerror} if
+  RawData flushfile
+} exec
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+} stopped {handleerror} if
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+} exec
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+} stopped {handleerror} if
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+} exec
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+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+GS
+[0.6 0 0 0.6 514.8 213.0202] CT
+1 0.918 0.275 RC
+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+GS
+[0.6 0 0 0.6 562.8 159.89632] CT
+1 0.918 0.275 RC
+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+GS
+[0.6 0 0 0.6 610.8 91.68128] CT
+N
+-240 -105.802 M
+1 -105.802 L
+1 263.198 L
+-240 263.198 L
+-240 -105.802 L
+cp
+clip
+1 0.918 0.275 RC
+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+GS
+[0.6 0 0 0.6 0 0] CT
+1 0.918 0.275 RC
+[12 12] 0 setdash
+2 LJ
+3.333 LW
+N
+778 259.793 M
+858 57.766 L
+938 155.941 L
+1018 118.706 L
+S
+GR
+GS
+[0.6 0 0 0.6 466.8 155.876] CT
+N
+0 -212.793 M
+241 -212.793 L
+241 156.207 L
+0 156.207 L
+0 -212.793 L
+cp
+clip
+1 0.918 0.275 RC
+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+GS
+[0.6 0 0 0.6 514.8 34.6597] CT
+1 0.918 0.275 RC
+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+GS
+[0.6 0 0 0.6 562.8 93.5647] CT
+1 0.918 0.275 RC
+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+GS
+[0.6 0 0 0.6 610.8 71.22356] CT
+N
+-240 -71.706 M
+1 -71.706 L
+1 297.294 L
+-240 297.294 L
+-240 -71.706 L
+cp
+clip
+1 0.918 0.275 RC
+10.0 ML
+3.333 LW
+N
+5 0 M
+5 -2.761 2.761 -5 0 -5 C
+-2.761 -5 -5 -2.761 -5 0 C
+-5 2.761 -2.761 5 0 5 C
+2.761 5 5 2.761 5 0 C
+cp
+S
+GR
+%%Trailer
+%%Pages: 1
+%%EOF
diff --git a/simulations/barPlot.m b/simulations/barPlot.m
index e0f0361..b263de1 100644
--- a/simulations/barPlot.m
+++ b/simulations/barPlot.m
@@ -1,25 +1,28 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-% b = barPlot(data,names,units,color,ymax,xlength,std)
+% b = barPlot(data,names,units,color,ymax,xlength,std,stacked)
 %
-% Benjam�n J. S�nchez. Last update: 2018-04-02
+% Benjamin J. Sanchez. Last update: 2018-09-09
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
-function b = barPlot(data,names,units,color,ymax,xlength,std)
+function b = barPlot(data,names,units,color,ymax,xlength,std,stacked)
 
 if nargin < 7
     figure('position', [100,100,xlength,400])
     std = [];
 end
+if nargin < 8
+    stacked = false;
+end
 hold on
 
-if isfield(data,'var')
+if isfield(data,'lipVar')
     %Variability plot:
     [M,N] = size(data.comp);
     for i = 1:M
         for j = 1:N
             comp  = data.comp(i,j);
-            min   = data.var.min(i,j);
-            max   = data.var.max(i,j);
+            min   = data.lipVar.min(i,j);
+            max   = data.lipVar.max(i,j);
             left  = i - 0.5 + (j-1)/N;
             right = i - 0.5 + j/N;
             b(j) = patch([left,right,right,left],[min,min,max,max],color(j,:));
@@ -30,7 +33,11 @@
 else
     %Simple barplot:
     [M,N] = size(data);
-    b = bar(data,'BarWidth',1);
+    if stacked
+        b = bar(data,'stacked','BarWidth',0.6);
+    else
+        b = bar(data,'BarWidth',1);
+    end
     for i = 1:N
         set(b(i),'FaceColor',color(i,:));
     end
@@ -44,17 +51,9 @@
 
 %Various options:
 text_size = 12;
+plotOptions([0.5,M+0.5],[0 ymax],'',['Abundance ' units],1:length(names),'',names,'',text_size)
 axis = gca;
-axis.XAxis.TickValues = 1:length(names);
-axis.XAxis.TickLabel  = names;
 axis.XAxis.TickLength = [0,0];
-set(gca,'FontSize',text_size)
-ylabel(['Abundance ' units],'FontSize',text_size);
-xlim([0.5,M+0.5])
-ylim([0 ymax])
-set(gca,'XColor','k')
-set(gca,'YColor','k')
-box on
 hold off
 
 %Shrink and rotate labels when there are too many:
@@ -68,4 +67,4 @@
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/simulations/compareLipidDistributions.m b/simulations/compareLipidDistributions.m
index 0b3fbfb..114414e 100644
--- a/simulations/compareLipidDistributions.m
+++ b/simulations/compareLipidDistributions.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % compareLipidDistributions
 %
-% Benjam�n J. S�nchez. Last update: 2018-05-17
+% Benjamin J. Sanchez. Last update: 2018-09-04
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 %Get lipid distribution for each condition:
@@ -18,12 +18,19 @@
     chains     = data{i}.chainData.metNames(1:end-2);       %Take out very long chain F.A.s
     chains     = strrep(chains,' chain','');
     chains     = strrep(chains,'C','');
+    fluxData   = data{i}.fluxData;
     
     %Compute distributions of chains, with same amount of glucose:
-    new{i} = getLipidDistribution(model_SLIMEr{i},lipidNames,chains,data{i}.fluxData);
+    if i == 1
+        getFullVar = true;
+    else
+        getFullVar = false;
+    end
+    new{i} = getLipidDistribution(model_SLIMEr{i},lipidNames,chains,fluxData,getFullVar);
     data{i}.fluxData.averages(1) = new{i}.vgluc;
     data{i}.fluxData.stdevs(1)   = 0;
-    old{i} = getLipidDistribution(model_corrComp{i},lipidNames,chains,data{i}.fluxData);
+    old{i} = getLipidDistribution(model_corrComp{i},lipidNames,chains,fluxData,getFullVar);
+    disp(['Computing lipid distribution: ready with dataset ' num2str(i)])
 end
 
 %Fig 2A: Compare distributions of chains
@@ -48,13 +55,9 @@
 legend('boxoff')
 hold off
 
-%Fig S2: Compare variability of chains in lipids - old model:
+%Fig S3: Compare variability of chains in lipids - old model:
 lipids = data{1}.lipidData.metAbbrev([1,3:end]);        %Take out ergosterol
-color  = [0    1    0
-          0.2  0.7  0
-          0.5  0.5  0
-          0.8  0.3  0
-          1    0    0];
+color  = sampleCVDmap(4);
 b = barPlot(old{1},lipids,'[mg/gDW]',color,20,900);
 legend(b,chains,'Location','northwest')
 legend('boxoff')
@@ -64,12 +67,35 @@
 legend(b,chains,'Location','northwest')
 legend('boxoff')
 
+%Fig S4A: Compare full FVA for reference conditions:
+FVA = zeros(length(model_SLIMEr{1}.rxns),2);
+for i = 1:length(model_SLIMEr{1}.rxns)
+    cross_pos = strcmp(model_corrComp{1}.rxnNames,model_SLIMEr{1}.rxnNames{i});
+    if sum(cross_pos) > 0 %take out pseudorxns or SLIMEr stuff
+        if sum(cross_pos) > 1
+            cross_pos = i;
+        end
+        FVA(i,1) = old{1}.fullVar(cross_pos);
+        FVA(i,2) = new{1}.fullVar(i);
+    end
+end
+FVA = FVA(sum(FVA,2) > 0,:);
+figure('position', [100,100,500,500])
+hold on
+plot([1e-4,1e4],[1e-4,1e4],'-k')
+plot(FVA(:,1),FVA(:,2),'ob')
+plotOptions([1e-4,1e4],[1e-4,1e4],'Permissive model variability [mmol/gDWh]', ...
+    'Enhanced model variability [mmol/gDWh]','','','','',12)
+set(gca,'YScale','log')
+set(gca,'XScale','log')
+hold off
+
 %Compare differences at stress conditions:
 Cchange = zeros(length(model_SLIMEr),1);
 NGAMs   = zeros(length(model_SLIMEr),1);
 Cdiff   = zeros(length(model_SLIMEr),1);    
 ATPdiff = zeros(length(model_SLIMEr),1);
-meanVar = zeros(length(model_SLIMEr),1);    
+lipVar  = zeros(length(model_SLIMEr),1);    
 for i = 1:length(model_SLIMEr)
     %Difference in chain composition to REF [%]:
     refRelComp = sum(new{1}.comp)/sum(sum(new{1}.comp));
@@ -94,8 +120,8 @@
     ATPdiff(i) = (old{i}.netATP - new{i}.netATP)*1000;  %umol/gDW
     
     %Mean variability [mg/gDW]
-    newVar     = new{i}.var.max - new{i}.var.min;       %mg/gDW
-    meanVar(i) = mean(mean(newVar));                    %mg/gDW
+    newVar    = new{i}.lipVar.max - new{i}.lipVar.min;	%mg/gDW
+    lipVar(i) = mean(mean(newVar));                     %mg/gDW
 end
 
 %Fig 3C: Main variables
@@ -104,8 +130,8 @@
                   'Extra ATP cost [\mumol/gDW]'};
 stressPlot(mainStressData,mainVarNames,[1 3],[50 300])
 
-%Fig S4: Supplementary variables
-suppStressData = [Cchange NGAMs meanVar];
+%Fig S6: Supplementary variables
+suppStressData = [Cchange NGAMs lipVar];
 suppVarNames   = {'Experimental difference in chain composition compared to reference [%]', ...
                   'Fitted maintenance in permissive model [mmol/gDWh]', ...
                   'Mean variability in enhanced model [mg/gDW]'};
@@ -113,4 +139,4 @@
 rmpath('../data')
 rmpath('../models')
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/simulations/getLipidDistribution.m b/simulations/getLipidDistribution.m
index 4f53a18..0ae6e54 100644
--- a/simulations/getLipidDistribution.m
+++ b/simulations/getLipidDistribution.m
@@ -1,10 +1,10 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-% data = getLipidDistribution(model,lipidNames,chains,fluxData)
+% data = getLipidDistribution(model,lipidNames,chains,fluxData,getFullVar)
 %
-% Benjam�n J. S�nchez. Last update: 2018-03-26
+% Benjamin J. Sanchez. Last update: 2018-09-03
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
-function data = getLipidDistribution(model,lipidNames,chains,fluxData)
+function data = getLipidDistribution(model,lipidNames,chains,fluxData,getFullVar)
 
 %Simulate model:
 [sol,model_cons] = simulateGrowth(model,fluxData);
@@ -48,27 +48,43 @@
     end
 end
 
-%Find variability:
-variability.min = zeros(size(composition));
-variability.max = zeros(size(composition));
+%Compute full FVA:
+if getFullVar
+    fullVar = zeros(size(model_cons.rxns));
+    for i = 1:length(fullVar)
+        %Change objective function and perform FVA:
+        model_i = changeObjective(model_cons,model_cons.rxns{i},+1);
+        sol_min = optimizeCbModel(model_i,'min');
+        sol_max = optimizeCbModel(model_i,'max');
+        fullVar(i) = sol_max.x(i) - sol_min.x(i);
+        if rem(i,50) == 0
+            disp(['Computing FVA for reference: ' num2str(i) '/' ...
+                num2str(length(model.rxns)) ' rxns done'])
+        end
+    end
+    data.fullVar = fullVar;  %mmol/gDWh
+end
+
+%Find lipid variability:
+lipVar.min = zeros(size(composition));
+lipVar.max = zeros(size(composition));
 for i = 1:length(lipidNames)
     for j = 1:length(chains)
-        [minVal,maxVal]      = lipidFVA(model_cons,lipidNames{i},chains{j});
-        variability.min(i,j) = minVal/mu;
-        variability.max(i,j) = maxVal/mu;
-        disp(['Computing composition and variability: ' lipidNames{i} ' - ' chains{j}])
+        [minVal,maxVal] = lipidFVA(model_cons,lipidNames{i},chains{j});
+        lipVar.min(i,j) = minVal/mu;
+        lipVar.max(i,j) = maxVal/mu;
     end
 end
 
 %Generate output:
-data.comp        = composition*1000;        %mg/gDW
-data.var.min     = variability.min*1000;    %mg/gDW
-data.var.max     = variability.max*1000;    %mg/gDW
-data.vgluc       = sol.x(posGluc);          %1/h
-data.mu          = mu;                      %1/h
-data.maintenance = sol.x(posMaint);         %mmol/gDWh
-data.netATP      = sol.x(posMaint)/mu;      %mmol/gDW
+data.comp        = composition*1000;	%mg/gDW
+data.lipVar.min  = lipVar.min*1000;     %mg/gDW
+data.lipVar.max  = lipVar.max*1000;     %mg/gDW
+data.vgluc       = sol.x(posGluc);      %1/h
+data.mu          = mu;                  %1/h
+data.maintenance = sol.x(posMaint);     %mmol/gDWh
+data.netATP      = sol.x(posMaint)/mu;	%mmol/gDW
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/simulations/lipidFVA.m b/simulations/lipidFVA.m
index 847d051..f60a7c5 100644
--- a/simulations/lipidFVA.m
+++ b/simulations/lipidFVA.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % [minVal,maxVal] = lipidFVA(model,lipidName,chainName)
 %
-% Benjam�n J. S�nchez. Last update: 2018-01-10
+% Benjamin J. Sanchez. Last update: 2018-09-03
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function [minVal,maxVal] = lipidFVA(model,lipidName,chainName)
@@ -29,13 +29,13 @@
 
     %Minimize:
     sol    = optimizeCbModel(model,'min');
-    minVal = sol.f;
+    minVal = sum(model.c.*sol.x);
     
     %Maximize:
     sol    = optimizeCbModel(model,'max');
-    maxVal = sol.f;
+    maxVal = sum(model.c.*sol.x);
 end
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/simulations/lipidValidation.m b/simulations/lipidValidation.m
index d3b5ce5..3f72f67 100644
--- a/simulations/lipidValidation.m
+++ b/simulations/lipidValidation.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % lipidValidation
 %
-% Benjam�n J. S�nchez. Last update: 2018-05-17
+% Benjamin J. Sanchez. Last update: 2018-09-09
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 rng default
@@ -23,9 +23,25 @@
     %Read experimental data for each condition:
     data = readEjsingData(i);
     data = convertEjsingData(data,model,false);
-    data.metNames  = data.metNames(1:end-1);         %filter out ergosterol
-    data.abundance = data.abundance(1:end-1)*1000;   %mg/gDW
-    data.std       = data.std(1:end-1)*1000;         %mg/gDW
+    data.metNames       = data.metNames(1:end-1);       %filter out ergosterol
+    data.molarAbundance = data.molarAbundance(1:end-1);	%mol/mol
+    data.abundance      = data.abundance(1:end-1)*1000;	%mg/gDW
+    data.std            = data.std(1:end-1)*1000;       %mg/gDW
+    
+    %Get backbone & chain information:
+    data.backNames  = cell(size(data.metNames));
+    data.chainNames = cell(size(data.metNames));
+    data.allChains  = [];
+    for j = 1:length(data.metNames)
+        parts = strsplit(data.metNames{j},' ');
+        data.backNames{j}  = parts{1};
+        data.chainNames{j} = strsplit(parts{2},'-');
+        data.chainNames{j} = regexprep(data.chainNames{j},';[0-9]','');
+        data.allChains     = [data.allChains data.chainNames{j}];
+    end
+    data.groups    = findgroups(data.backNames);
+    data.allBacks  = unique(data.backNames);
+    data.allChains = unique(data.allChains);
     
     %Perform random sampling:
     abundance_modC{i} = lipidRandomSampling(model_corrComp_val{i},data,Nsim);
@@ -36,8 +52,9 @@
     lipids((Nsim*(2*i-2)+i+1):(Nsim*(2*i-1)+i),:) = abundance_modC{i}';
     lipids((Nsim*(2*i-1)+i+1):(Nsim*(2*i)+i),:)   = abundance_modS{i}';
     
-    %Averages & errors:
+    %Averages - stds - errors:
     means       = [mean(abundance_modC{i},2) mean(abundance_modS{i},2)];
+    stds        = [std(abundance_modC{i},[],2) std(abundance_modS{i},[],2)];
     diffs       = means - ones(size(means)).*data.abundance;
     errors(:,i) = sum(abs(diffs'),2)/length(diffs);
     
@@ -48,7 +65,26 @@
     %Plot data:
     ymax  = ceil(max(y)/5)*5;
     trans = 0.006;
-    if i == 1        
+    if i == 1
+        %Fig S2: Experimental chain distribution
+        xlength = 1350;
+        figure('position', [100,100,xlength,400])
+        molarProps = zeros(length(data.allBacks),length(data.allChains));
+        for j = 1:length(data.metNames)
+            pos_b = strcmp(data.allBacks,data.backNames{j});
+            for k = 1:length(data.chainNames{j})
+                pos_c = strcmp(data.allChains,data.chainNames{j}{k});
+                molarProps(pos_b,pos_c) = molarProps(pos_b,pos_c) + data.molarAbundance(j);
+            end
+        end
+        molarProps = molarProps./sum(molarProps,2)*100;
+        names      = data.allBacks(~isnan(sum(molarProps,2)));
+        molarProps = molarProps(~isnan(sum(molarProps,2)),:);
+        color      = sampleCVDmap(6);
+        barPlot(molarProps,names,'[molar %]',color,100,xlength,[],true);
+        legend(data.allChains,'location','eastoutside')
+        legend('boxoff')
+        
         %Fig 3A: Random sampling at reference conditions
         xlength = 1400;
         figure('position', [100,300,xlength,400])
@@ -56,11 +92,56 @@
         hold on
         scatter(x,y,10,'b','MarkerEdgeAlpha',trans)
         hold off
+        
+        %Fig S4B: Cumulative distribution of variability
+        figure('position', [100,100,500,500])
+        stdmax = ceil(max(max(stds)));
+        color  = {'y';'b'};
+        hold on
+        for j = 1:2
+            sorted = sort(stds(:,j));
+            cumdis = (0:length(sorted))./length(sorted);
+            medval = median(stds(:,j));
+            h(j) = plot([0;sorted],cumdis,['-' color{j}],'LineWidth',3);
+        end
+        plotOptions([0 stdmax],[0 1],'Standard Deviation [mg/gDW]', ...
+            'Cumulative distribution',[],[],[],[],12)
+        modelNames = {'Permissive model';'Enhanced model'};
+        legend(h,['\color[rgb]{1 1 0} ' modelNames{1}], ...
+                 ['\color[rgb]{0 0 1} ' modelNames{2}],'Location','southeast');
+        legend('boxoff')
+        hold off
+        
+        %Fig S4C: Variability breakdown
+        figure('position', [100,100,1200,600])
+        xticks = (1:length(stds))';
+        hold on
+        for j = 1:2
+            h(j) = plot(xticks,stds(:,j),['o' color{j}],'MarkerFaceColor',color{j});
+            %Compute average stds for each backbone group:
+            meanstds = splitapply(@mean,stds(:,j),data.groups);
+            for k = 1:length(meanstds)
+                meanx = xticks(data.groups == k);
+                meany = meanstds(k)*ones(size(meanx));
+                plot(meanx,meany,['--' color{j}])
+                plot([max(meanx)+0.5,max(meanx)+0.5],[0,stdmax],'--k')
+            end
+            totalmean = mean(stds(:,j));
+            plot([0 length(xticks)+1],[totalmean,totalmean],['--' color{j}],'LineWidth',2.5)
+        end
+        plotOptions([0 length(xticks)+1],[0 stdmax],[],'Standard Deviation [mg/gDW]', ...
+            xticks,[],data.metNames,[],6)
+        xtickangle(90)
+        legend(h,['\color[rgb]{1 1 0} ' modelNames{1}], ...
+                 ['\color[rgb]{0 0 1} ' modelNames{2}],'Location','northwest');
+        legend('boxoff')
+        hold off
+        
         figure('position', [100,100,xlength,600])
     else
         xlength = 1000;
     end
-    %Fig S3: Random sampling at all conditions
+    %Fig S5: Random sampling at all conditions
     subplot(Ncond,1,Ncond+1-i)
     barPlot(data.abundance,data.metNames,'[mg/gDW]','r',ymax,xlength,data.std);
     hold on
@@ -87,24 +168,19 @@
     h3(i) = plot(scores(Nsim*(2*i-2)+i,1),scores(Nsim*(2*i-2)+i,2), ...
                  'or','MarkerFaceColor','r','MarkerSize',5,'LineWidth',2);
 end
-size_text = 15;
-xlabel(['PC1: ' num2str(explained(1),2) '% of variation'],'FontSize',size_text)
-ylabel(['PC2: ' num2str(explained(2),2) '% of variation'],'FontSize',size_text)
+x_lab = ['PC1: ' num2str(explained(1),2) '% of variation'];
+y_lab = ['PC2: ' num2str(explained(2),2) '% of variation'];
 legend([h1(4),h2(end),h3(end)],'\color[rgb]{0.5 0.5 0} Permissive model', ...
-                               '\color[rgb]{0   0   1} Enhanced model', ...
-                               '\color[rgb]{1   0   0} Experimental values', ...
-                               'Location','northeast');
+    '\color[rgb]{0   0   1} Enhanced model', ...
+    '\color[rgb]{1   0   0} Experimental values','Location','southeast');
 legend('boxoff')
+plotOptions('','',x_lab,y_lab,'','','','',15)
 set(gca,'XTickLabel',[]);
 set(gca,'YTickLabel',[]);
-set(gca,'FontSize',size_text)
-set(gca,'XColor','k')
-set(gca,'YColor','k')
 axis square
-box on
 hold off
 
 rmpath('../data')
 rmpath('../models')
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/simulations/plotOptions.m b/simulations/plotOptions.m
new file mode 100644
index 0000000..2ca234c
--- /dev/null
+++ b/simulations/plotOptions.m
@@ -0,0 +1,50 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% plotOptions(x_lim,y_lim,x_lab,y_lab,x_tick,y_tick,x_ticklab,y_ticklab,text_size)
+%
+% Benjamin J. Sanchez. Last update: 2018-09-06
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+function plotOptions(x_lim,y_lim,x_lab,y_lab,x_tick,y_tick,x_ticklab,y_ticklab,text_size)
+
+axis = gca;
+
+if ~isempty(x_lim)
+    xlim(x_lim)
+end
+
+if ~isempty(y_lim)
+    ylim(y_lim)
+end
+
+if ~isempty(x_lab)
+    xlabel(x_lab,'FontSize',text_size);
+end
+
+if ~isempty(y_lab)
+    ylabel(y_lab,'FontSize',text_size);
+end
+
+if ~isempty(x_tick)
+    axis.XAxis.TickValues = x_tick;
+end
+
+if ~isempty(y_tick)
+    axis.YAxis.TickValues = y_tick;
+end
+
+if ~isempty(x_ticklab)
+    axis.XAxis.TickLabel = x_ticklab;
+end
+
+if ~isempty(y_ticklab)
+    axis.YAxis.TickLabel = y_ticklab;
+end
+
+set(gca,'FontSize',text_size)
+set(gca,'XColor','k')
+set(gca,'YColor','k')
+box on
+
+end
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/simulations/simulateGrowth.m b/simulations/simulateGrowth.m
index 252097d..845549b 100644
--- a/simulations/simulateGrowth.m
+++ b/simulations/simulateGrowth.m
@@ -1,14 +1,17 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % [sol,model] = simulateGrowth(model,fluxData)
 %
-% Benjam�n J. S�nchez. Last update: 2018-01-12
+% Benjamin J. Sanchez. Last update: 2018-09-05
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function [sol,model] = simulateGrowth(model,fluxData)
 
 %Constrain all fluxes with exp. data
 for i = 1:length(fluxData.rxnIDs)
+    %The variation should never be more than the abundance: 
     stdev = min([fluxData.stdevs(i),abs(fluxData.averages(i))/1.96]);
+    %The variation should be at least a 5% (to avoid unfeasible simulations):
+    stdev = max([stdev,abs(fluxData.averages(i))/1.96*0.05]);
     LB    = fluxData.averages(i) - 1.96*stdev;      %C.I. of 95%
     UB    = fluxData.averages(i) + 1.96*stdev;      %C.I. of 95%
     model = changeRxnBounds(model,fluxData.rxnIDs(i),LB,'l');
@@ -30,4 +33,4 @@
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/simulations/stressPlot.m b/simulations/stressPlot.m
index c127ba3..c8b2700 100644
--- a/simulations/stressPlot.m
+++ b/simulations/stressPlot.m
@@ -1,7 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % stressPlot(stressData,varNames,ylim1,ylim2)
 %
-% Benjam�n J. S�nchez. Last update: 2018-04-12
+% Benjamin J. Sanchez. Last update: 2018-09-06
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 function stressPlot(stressData,varNames,ylim1,ylim2)
@@ -28,12 +28,13 @@ function stressPlot(stressData,varNames,ylim1,ylim2)
 
 function stressSubPlot(stressLevels,stressData,varNames,x_lab,ylim1,ylim2)
 
+color = sampleCVDmap(4);
 if contains(x_lab,'Temp')
-    color = [1 0 0];            %red
+    color = color(1,:);
 elseif contains(x_lab,'NaCl')
-    color = [0 0 1];            %blue
+    color = color(3,:);
 elseif contains(x_lab,'Ethanol')
-    color = [0 128/255 0];      %forest green
+    color = color(4,:);
 end
 hold on
 yyaxis left
@@ -51,26 +52,14 @@ function stressSubPlot(stressLevels,stressData,varNames,x_lab,ylim1,ylim2)
 end
 
 %Various options:
-text_size = 12;
-set(gca,'XTick',stressLevels)
 if m == 2
-    xlabel('Stress level','FontSize',text_size);
-else
-    xlabel(x_lab,'FontSize',text_size);
+    x_lab = 'Stress level';
 end
-xlim([stressLevels(1) stressLevels(end)])
-ylim(ylim2)
-set(gca,'FontSize',text_size)
-set(gca,'XColor','k')
-set(gca,'YColor','k')
-box on
+plotOptions([stressLevels(1) stressLevels(end)],ylim2,x_lab,'',stressLevels,'','','',12)
 yyaxis left
-ylim(ylim1)
-set(gca,'FontSize',text_size)
-set(gca,'YColor','k')
-box on
+plotOptions('',ylim1,'','','','','','',12)
 hold off
 
 end
 
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%