Abstract: System, method, and computer program product for improving the accuracy of blood glucose measurements in a blood glucose meter by compensating for thermal effects of the glucose meter hardware. A machine learning model is used to predict the reaction site temperature on a blood glucose test strip based on one or more temperature measurements and device status information. The model receives several inputs including at least one temperature measurement sensed near the reaction site as well as device usage and other factors that may influence the reaction site temperature. The model provides a predicted reaction site temperature to the glucometer software or firmware to be used in a blood glucose calculation. 1.

Abstract: An anti-collision system for an aircraft is provided. The anti-collision system preferably comprising a plurality of LIDAR sensors installed on the aircraft wherein each LIDAR sensor in the plurality of LIDAR sensors has a wide horizontal field of view and a small vertical field of view; a battery in electrical communication with the plurality of LIDAR sensors; a processor in electrical communication with the LIDAR sensors; a siren coupled to the aircraft and in electrical communication with the processor; and a keypad in electrical communication with the battery and processor and coupled to the aircraft.