Abstract: An exemplary status-indicating locking assembly includes a cylindrical lock assembly and a status-indicating assembly. The status-indicating assembly includes a sensor configured to sense the status of the cylindrical lock assembly, a transmission configured to communicate the lock status to at least one side of a door, and an indicator configured to display indicia relating to the lock status on the at least one side of the door. In certain forms, the sensor, transmission, and indicator may be electronic, mechanical, hydraulic, magnetic, or combinations thereof.

Abstract: A linear variable optical bandpass filter that is coated directly on an electronic device such as the detector array in a mobile smart phone by a combination of established optical modeling software and microlithography techniques to create a spectrometer in a mobile smart phone is disclosed.

Abstract: Systems and methods for receiving various input data, processing said input data, and utilizing artificial emotional intelligence to analyze said input data to return calculated response stimuli are provided. Various electronic devices may be utilized to acquire input data related to a specific user, a group of users, or environments. This input data, which may comprise tone of voice, facial expressions, social media profiles, and surrounding environmental data, may be compared with past data related to a certain user, group of users, or environment. The systems and methods herein may employ artificial emotional intelligence to evaluate the aggregated data and provide a response stimulus to a user or group of users. The response stimulus may be in the form of uplifting/encouraging music, quotes, pictures, jokes, suggestions, etc. The purpose of providing the response stimuli is to significantly increase the productivity of meetings, conversations, and other interactions across electronic devices.

Abstract: Systems and methods for receiving various input data, processing said input data, and utilizing artificial emotional intelligence to analyze said input data to return calculated response stimuli are provided. Various electronic devices may be utilized to acquire input data related to a specific user, a group of users, or environments. This input data, which may comprise tone of voice, facial expressions, social media profiles, and surrounding environmental data, may be compared with past data related to a certain user, group of users, or environment. The systems and methods herein may employ artificial emotional intelligence to evaluate the aggregated data and provide a response stimulus to a user or group of users. The response stimulus may be in the form of uplifting/encouraging music, quotes, pictures, jokes, suggestions, etc. The purpose of providing the response stimuli is to significantly increase the productivity of meetings, conversations, and other interactions across electronic devices.

Abstract: A system and method for facilitating analysis of a software project. Intrinsic measures, activity-based measures, or dynamic measures associated with the project are received, including measures associated with physical program units and logical program units of the project. Mappings between physical program units and logical program units are generated. An architectural diagram including logical program units is received, and may include additional mappings of the logical program units. The mappings are used to roll up measures from physical project units to logical project units, and from logical project units to other logical project units. An overlay diagram is generated, including the rolled up measures. The overlay diagram includes the architectural diagram and a representation of rolled up measures associated with each logical project unit on the diagram. The representations employ a graphic format that facilitates a user determining risk areas of the software project.

Abstract: A system and method for facilitating analysis of a software project. Intrinsic measures, activity-based measures, or dynamic measures associated with the project are received, including measures associated with physical program units and logical program units of the project. Mappings between physical program units and logical program units are generated. An architectural diagram including logical program units is received, and may include additional mappings of the logical program units. The mappings are used to roll up measures from physical project units to logical project units, and from logical project units to other logical project units. An overlay diagram is generated, including the rolled up measures. The overlay diagram includes the architectural diagram and a representation of rolled up measures associated with each logical project unit on the diagram. The representations employ a graphic format that facilitates a user determining risk areas of the software project.