Abstract: Ameliorative actions are taken using a system equipped with sensors and equipment for attending to a patient. Operation of the system is controlled at a remote site or alternatively at the location of an injury. Injury assessment and the patient's affective and/or cognitive state may be facilitated through the analysis of data obtained by the sensors.

Abstract: A method, system, and recording medium including a drone and pattern recruiting device configured to recruit a plurality of drones based on a mission, a flocking goal device configured to arrange the plurality of drones in the drone-swarm in a pattern to satisfy the mission, and a changing device configured to adaptively change the pattern of the drone-swarm based on a condition of the mission indicating a needed change and to cause the drone and pattern recruiting device to recruit an additional drone for the needed change.

Abstract: Coffee or other drink, for example a caffeine containing drink, is delivered to individuals that would like the drink, or who have a predetermined cognitive state, using an unmanned aerial vehicle (UAV)/drone. The drink is connected to the UAV, and the UAV flies to an area including people, and uses sensors to scan the people for an individual who has gestured that they would like the drink, or for whom an electronic analysis of sensor data indicates to be in a predetermined cognitive state. The UAV then flies to the individual to deliver the drink. The analysis can include profile data of people, including electronic calendar data, which can be used to determine a potentially predetermined cognitive state.

Abstract: Ameliorative actions are taken using an unmanned aerial vehicle equipped with sensors and equipment for dispensing foam to form foam splints to immobilize a patient's limb. Operation of the unmanned aerial vehicle is controlled at a remote site or alternatively at the location of an injury. Injury assessment and the patient's affective and/or cognitive state may be facilitated through the analysis of data obtained by the sensors.

Abstract: Coffee or other drink, for example a caffeine containing drink, is delivered to individuals that would like the drink, or who have a predetermined cognitive state, using an unmanned aerial vehicle (UAV)/drone. The drink is connected to the UAV, and the UAV flies to an area including people, and uses sensors to scan the people for an individual who has gestured that they would like the drink, or for whom an electronic analysis of sensor data indicates to be in a predetermined cognitive state. The UAV then flies to the individual to deliver the drink. The analysis can include profile data of people, including electronic calendar data, which can be used to determine a potentially predetermined cognitive state.

Abstract: A method, system, and recording medium including a drone and pattern recruiting device configured to recruit a plurality of drones based on a mission, a flocking goal device configured to arrange the plurality of drones in the drone-swarm in a pattern to satisfy the mission, and a changing device configured to adaptively change the pattern of the drone-swarm based on a condition of the mission indicating a needed change and to cause the drone and pattern recruiting device to recruit an additional drone for the needed change.

Abstract: A method, system, and recording medium including a mission receiving device configured to receive a mission for the drone-swarm based on a user input, a drone and pattern recruiting device configured to recruit a plurality of drones based on the mission, and a flocking goal device configured to arrange the plurality of drones in the drone-swarm in a pattern to satisfy the mission.

Abstract: A method, system, and recording medium including a mission receiving device configured to receive a mission for the drone-swarm based on a user input, a drone and pattern recruiting device configured to recruit a plurality of drones based on the mission, and a flocking goal device configured to arrange the plurality of drones in the drone-swarm in a pattern to satisfy the mission.

Abstract: Methods of detecting, and providing a notification of, the existence of misinformation using usage patterns of a network service enable an organization to respond to the misinformation. The method includes establishing common usage patterns of the network service, identifying an irregular usage pattern, determining that the irregular usage pattern was caused by misinformation, and responding to the misinformation.

Abstract: A method for determining an allocation of a workload includes identifying an employee in an organization having the workload, associating the employee with an articulation workload metric, and determining the allocation of the workload to the employee according to the articulation workload metric.

Abstract: Methods of detecting, and providing a notification of, the existence of misinformation using usage patterns of a network service enable an organization to respond to the misinformation. The method includes establishing common usage patterns of the network service, identifying an irregular usage pattern, determining that the irregular usage pattern was caused by misinformation, and responding to the misinformation.