diff --git a/models/Application_examples/Correlation_and_Fusion_Process_Ungoverned.mp b/models/Application_examples/Correlation_and_Fusion_Process_Ungoverned.mp
index 61e35bab1a7a2a049fa9d9b69928ca69ae841d6d..62e59a8df87c27e25b5188e1c12914606dd57c63 100644
--- a/models/Application_examples/Correlation_and_Fusion_Process_Ungoverned.mp
+++ b/models/Application_examples/Correlation_and_Fusion_Process_Ungoverned.mp
@@ -1,48 +1,49 @@
-/* Ungoverned Correlation Model	August 2021
-	created by F Watson 8/20/2021 
-    
-    Purpose: 
-    To model AIS reporting data flows showing existing data path behaviors 
-    
-    Description:
-    Models the data flow from sensors all the way to the human analyst at a tactical location.
-    
-     Details
-     AIS_Sensor: represents an example AIS GPS SENSOR
-     Aggregation_Service: Represents a local AIS Aggregator like a "Radar" system or local AIS Broadcast
-     Global_Distribution_Mechanism: Receives data from multiple aggregation services, coalates the data, and rebroadcasts the data globally.
-
-     Source A: Represents raw AIS tracks that have not been modified in any way prior to dissemination
-     Source B: Represents raw AIS tracks grouped into geographic areas for limited broadcast
-     Source C: Represents Custom filtering and combining of AIS tracks based on unique fields
-     Correlator functions: 		Receive_Source_Status 
-    					Process_Source_Status
-    					Evaluate_Source_Status
-					Display_Correlated_Tracks
-     Analyst functions:  	   View_Correlated_Tracks
-				   Analyze_Tracks_Position_Accuracy
-				   Correct_Track_Positions
+/* Model of Correlation and Fusion Process Ungoverned
+
+Created by Frank Watson on the 20th of August, 2021.
+Edited by Pamela Dyer in September, 2021.
+
+Purpose: To model AIS reporting data flows showing existing 
+data path behaviors.
+
+Description: Models the data flow from sensors all the way 
+to the human analyst at a tactical location.
+
+    AIS_Sensor: represents an example AIS GPS SENSOR.
+    Aggregation_Service: Represents a local AIS Aggregator 
+        like a "Radar" system or local AIS Broadcast.
+    Global_Distribution_Mechanism: Receives data from 
+        multiple aggregation services, coalates the data, 
+        and rebroadcasts the data globally.
+
+    Source A: Represents raw AIS tracks that have not been modified in any way prior to dissemination
+    Source B: Represents raw AIS tracks grouped into geographic areas for limited broadcast
+    Source C: Represents Custom filtering and combining of AIS tracks based on unique fields
+    Correlator functions: 		Receive_Source_Status 
+    					        Process_Source_Status
+    					        Evaluate_Source_Status
+					            Display_Correlated_Tracks
+    Analyst functions:  	   View_Correlated_Tracks
+                                Analyze_Tracks_Position_Accuracy
+				                Correct_Track_Positions
 
     The events are representative of actual AIS data report flow to operational analysts in the Fleet today.  
-    
-    References:
-    
-    Example 49 Histogram showing number of traces with probabilities within certain intervals, from Auguston, M. "Monterey Phoenix 
-    System and Software Architecture and Workflow Modeling Language Manual" 
-    (Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
 
-    Example 40. A global report is assembled from the set of all available event traces, from Auguston, M. "Monterey Phoenix 
-    System and Software Architecture and Workflow Modeling Language Manual" 
-    (Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
+References:
+Example 49 Histogram showing number of traces with probabilities within certain intervals, from Auguston, M. "Monterey Phoenix 
+System and Software Architecture and Workflow Modeling Language Manual" 
+(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
 
-	Search terms: behavior, data correlation and fusion; probability, Type 1; data governance 
-    
-    Instructions:
-    Run for scope 1: 8 traces in < 1 sec
-  
-    
+Example 40. A global report is assembled from the set of all available event traces, from Auguston, M. "Monterey Phoenix 
+System and Software Architecture and Workflow Modeling Language Manual" 
+(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
+
+Search terms: behavior, data correlation and fusion; 
+probability, Type 1; data governance
 
-*/
+Instructions: Run for scope 1: 8 traces in < 1 sec
+  
+==========================================================*/
 
 SCHEMA Correlation_and_Fusion_Process_Ungoverned