Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for automatic analysis and dynamic selection or creation of high quality supplemental content for a program (e.g., movies and TV shows) to maximize user engagement and the consumption of the media stream content by users. An example embodiment operates by using different machine learning (ML) models and large language models (LLMs) on existing supplemental content for the program to extract potential engaging features. The embodiment then conducts multivariate testing on the extracted potential engaging features to identify engaging features that improve user engagement for a user or a group of users.

Abstract: Method and apparatus for converting sections of registered absolute domain names (pages or paths or sub-domains) into marketable assets within a legal, technological and operational framework enabled through a web-hosted system. Within the framework, owners of well-established, reputable domain names having a particular web structure can offer to share with third-party licensees selected sections of the domain that are otherwise unused by the domain owner. The result is an expanded domain that facilitates a variety of monetizable ownership structures, including geographical regionalization of the domain, while exploiting for the mutual benefit of all the established public reputation and search engine ranking of the shared domain.

Abstract: A vibration control system for a rotorcraft includes at least one of an integrated actuator and an intermediate actuator associated with a first source of vibration, a sensor configured to sense vibration from the first source of vibration, a dedicated actuator configured for association with a fuselage, and a controller configured to receive information from the sensor and configured to control the dedicated actuator and the at least one of the integrated actuator and the intermediate actuator.

Abstract: Disclosed is a system and method for obtaining and transmitting brief patient notes over a computer network. In certain embodiments, the method comprises the steps of supplying an account in an electronic health record to a first user, providing health information about patients to the first user on a user interface, receiving a request to enter a brief patient note through the user interface, displaying a dialogue box through which the first user enters text to create a brief patient note, and storing the brief patient note on a central repository.

Abstract: The adaptive reference model algorithm uses a gain scheduling feature combined with a customized Least-Squares routine as an adaptive method for adjusting feedback control so as to account for variations in Transfer Function (G), thereby optimizing the effectiveness of the Active Vibration Control (AVC) System. The Least-Squares routine identifies the transfer function in a background process without interruption of closed loop vibration control. This identification approach is accomplished without intentional interrogation of the AVC actuators and without intentional vibration level changes. For this adaptive control logic, the dynamic relationship between AVC actuators and AVC sensors is represented by a mathematical model of Transfer Function (G). The mathematical model of Transfer Function (G) is continuously updated by the Least-Squares routine.

Abstract: One embodiment of these teachings includes an imaging modality that is based on the ability of imaging technologies to detect wave-induced tissue deformation at depth, that allows viewing the propagation of action potentials deep within myocardial tissue, thereby helping to clarify clinical and physiological dynamical issues.

Abstract: The adaptive reference model algorithm uses a gain scheduling feature combined with a customized Least-Squares routine as an adaptive method for adjusting feedback control so as to account for variations in Transfer Function (G), thereby optimizing the effectiveness of the Active Vibration Control (AVC) System. The Least-Squares routine identifies the transfer function in a background process without interruption of closed loop vibration control. This identification approach is accomplished without intentional interrogation of the AVC actuators and without intentional vibration level changes. For this adaptive control logic, the dynamic relationship between AVC actuators and AVC sensors is represented by a mathematical model of Transfer Function (G). The mathematical model of Transfer Function (G) is continuously updated by the Least-Squares routine.