Abstract: A door system includes a corridor sized to allow humans to move through the corridor, the corridor having a first door located at a first end; a second door located at the second end; a controller operatively connected to the first and second doors for controlling the first and second doors; a first sensor oriented to detect an object on the floor, the first sensor operatively connected to the controller and a second sensor oriented to detect an object above the floor in the corridor wherein the second sensor is operatively connected to the controller and the controller is configured to one of: a) turn off the second sensor when the first sensor detects an object on the floor and b) not respond when the second sensor detects and object above the floor when the first sensor detects and object on the floor.

Abstract: A door system is provided. The door system includes: a corridor sized to allow humans to move through the corridor, the corridor defined, at least in part by side walls, the corridor having a first end and a second end; a first door located at the first end, the first door configured to provide selective access between the corridor and a space outside of the corridor; a second door located at the second end, the second door configured to provide selective access between the corridor and a space outside of the corridor; and sensors configured to determine a direction of movement within the corridor, the sensors operatively connected to at least one of the first and second doors to cause at least one of the first and second doors to move to a closed position if any of the sensors detect a movement further than a threshold amount in an undesired direction.

Abstract: A door system is provided. The door system includes: a corridor sized to allow humans to move through the corridor, the corridor defined, at least in part by side walls, the corridor having a first end and a second end; a first door located at the first end, the first door configured to provide selective access between the corridor and a space outside of the corridor; a second door located at the second end, the second door configured to provide selective access between the corridor and a space outside of the corridor; and sensors configured to determine a direction of movement within the corridor, the sensors operatively connected to at least one of the first and second doors to cause at least one of the first and second doors to move to a closed position if any of the sensors detect a movement further than a threshold amount in an undesired direction.

Abstract: A door system is provided. The door system includes: a corridor sized to allow humans to move through the corridor, the corridor defined, at least in part by side walls, the corridor having a first end and a second end; a first door located at the first end, the first door configured to provide selective access between the corridor and a space outside of the corridor; a second door located at the second end, the second door configured to provide selective access between the corridor and a space outside of the corridor; and sensors configured to determine a direction of movement within the corridor, the sensors operatively connected to at least one of the first and second doors to cause at least one of the first and second doors to move to a closed position if any of the sensors detect a movement further than a threshold amount in an undesired direction.

Abstract: Predictive models may be trained to estimate values of conversation quality metrics for ongoing conversations. A predictive model may be trained to predict the outcome of an ongoing conversation based on the values of conversation quality metrics for the conversation. The trained predictive model may be used to predict the outcome of an ongoing conversation, and/or to provide recommendations to a participant in the conversation regarding adjustments to the participant's communications that are predicted to improve the outcome of the conversation.

Abstract: Methods and systems for determining conversation quality are described. Predictive models may be trained to estimate values of conversation quality metrics for ongoing conversations. A predictive model may be trained to predict the outcome of an ongoing conversation based on the values of conversation quality metrics for the conversation. The trained predictive model may be used to predict the outcome of an ongoing conversation, and/or to provide recommendations to a participant in the conversation regarding adjustments to the participant's communications that are predicted to improve the outcome of the conversation.

Abstract: A coiled electrical cord retainer for a flexible stranded electrical cord which has a spring segment (22) with a smaller diameter than a coil of cord (48). The spring segment preferably has four turns and is contiguously attached to the plug end of a cord. The coiled cord is woven into the spirals and holds the coil together. A second embodiment places the spring segment (22) inside the cord's sheath. A third embodiment locates the spring segment (22) integral with the cord and attaches directly to an electrical appliance (54). A fourth embodiment utilizes a short length of cord or pigtail (82) with both a plug (50) and connector (52) on opposed ends. The pigtail (82) plugs into a power cable or extension cord and the coiled cord is retained in the same manner.

Abstract: An electrical connector housing (2 or 4) has through terminal receiving cavities (18) opening into a terminal receiving end (16), and mating end, of the housing (2 or 4). The terminal receiving end is surrounded by an axially projecting collar (34) having latching openings (36). A terminal antibackout cap (6) of cellular construction so as to be resiliently compressible has latching projections (66). When terminals have been inserted into the cavities (18), the cap (6) is forced into the collar (34) so that the latching projections (66) engage in the latching openings (36) in the collar (34).