diff --git a/README.md b/README.md
index 0d03005..8e0e859 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # DJICOT: DJI Drone Detection, Tracking & Identification with TAK
 
-DJICOT is a tool designed to monitor and analyze DJI OcuSync Drone ID data within the 
+DJICOT is a tool designed to monitor and analyze DJI OcuSync Drone ID sUAS data within the 
 Team Awareness Kit (TAK) ecosystem. It provides capabilities for detecting, tracking, and identifying 
 drones using commercial off-the-shelf (COTS) equipment. DJICOT ensures rapid deployment and seamless 
 integration into existing common operating picture and situational awareness systems.
diff --git a/djicot/classes.py b/djicot/classes.py
index 1bb0747..b0c021d 100644
--- a/djicot/classes.py
+++ b/djicot/classes.py
@@ -62,7 +62,7 @@ async def hello_event(self, init=False):
         """Sends a "hello world" style event to the TX queue. This event is sent periodically or on initialization."""
         timer = int(time.time()) % 60 == 0
         if init or timer:
-            data = f"{init=} {timer=}"
+            data = f"init={init} timer={timer}"
             event: Optional[bytes] = xml_to_cot(data, self.config, "sensor_to_cot")
             await self.put_queue(event)