Abstract: A property is identified for inspection based on a determination of a weather event impacting the property. A flight plan usable by an unmanned aerial vehicle (UAV) in identifying an extent of damage to the property caused by the weather event is determined. A user interface is presented at a user device. The user interface includes user interface controls configured for toggling layers of the user interface. The layers include a first layer that includes a geofence, a second layer that includes an inspection area of the property, a third layer that includes one of a launch location or a landing location of the UAV, and a fourth layer that includes a base map layer of an area that includes the property. A modification to the flight plan is received via the user interface.

Abstract: A flagpole lighting assembly, including an enclosure which includes a ring-shaped base having an aperture therethrough which includes a circumferential region, and a bottom aperture interior to the circumferential region, and a cover which includes a top with an aperture therethrough, an outer wall circumferentially coupled to the top, with a larger diameter than a diameter of the circumferential region of the base, protruding downwards beyond the base, a primary protrusion extending from the top such that it is flush with the outer wall and including an aperture therethrough, and a plurality of secondary protrusions extending downward from the top, each protrusion having a brace connected to the outer wall, and a ring-shaped circuit board and a plurality of output lighted strands connected to the circuit board.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for generation of autonomous unmanned aerial vehicle flight plans based on triggered sensor information. One of the methods includes accessing information correlated from sensors monitoring features of weather events, and determining an upcoming weather event, the determination comprising one or more areas expected to be affected by the weather event. A likelihood of damage associated with the weather event is determined to be greater than a threshold in the areas. The weather event is monitored while areas in which the likelihood is greater than the threshold are updated accordingly. Subsequent to the weather event, properties to be inspected by unmanned aerial vehicles are determined based on severity information associated with the weather event.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for generation of autonomous unmanned aerial vehicle flight plans based on triggered sensor information. One of the methods includes accessing information correlated from sensors monitoring features of weather events, and determining an upcoming weather event, the determination comprising one or more areas expected to be affected by the weather event. A likelihood of damage associated with the weather event is determined to be greater than a threshold in the areas. The weather event is monitored while areas in which the likelihood is greater than the threshold are updated accordingly. Subsequent to the weather event, properties to be inspected by unmanned aerial vehicles are determined based on severity information associated with the weather event.

Abstract: A method for removing protein impurities from extracts of protease inhibitor-containing plant material. Plant materials containing protease inhibitors, such a potato tubers that contain protease inhibitor II, are extracted using an alcohol-free solvent. The proteins present in the extract include impurities other than the protease inhibitor, specifically Kunitz, Bowman-Birk and carboxypeptidase inhibitors. The extract is subjected to heat treatment to denature and precipitate the unstable protein impurities followed by centrifugation to remove the precipitate. Ultrafiltration in the presence of a buffer removes the Bowman-Birk and carboxypeptidase inhibitors. The resulting purified protease inhibitor has applicability in the control of obesity and diabetes.