Abstract: A method and system for predicting vehicle wash services for a human-driven or self-driven vehicle. The method determines anticipated routes of travel for the vehicle based on context of a user associated with the vehicle, implements machine learning neural network models for predicting the road conditions in the anticipated routes of travel, and, then, auto-suggests one or more candidate car wash locations and associated Time of Days (to wash the car) while optimizing a user value.

Abstract: A medical instrument system comprises an imaging probe including a distal tip terminating at a first distal end of the imaging probe and a lens disposed at the first distal end. The imaging probe including a first sealing feature on an external surface of the imaging probe. The medical instrument also comprises an elongated medical instrument including a distal portion terminating at a second distal end and including a working channel configured to slidably receive the imaging probe. The working channel including a second sealing feature on a surface of the working channel. The first sealing feature and the second sealing feature are shaped and configured to contact one another to prevent the passage of fluid between the first and second sealing features.

Abstract: An imaging coupler comprises an elongate device connector configured to couple to an elongate device. The imaging coupler further comprises an instrument connector configured to couple to an imaging instrument. The imaging instrument is configured to be slidably received within a lumen of the elongate device. The imaging coupler further comprises a body portion extending between the elongate device connector and the instrument connector. The imaging coupler further comprises a tubular member coupled to the instrument connector and extending within the body portion. The instrument connector is movable in parallel with a longitudinal axis of the tubular member while the elongate device is coupled to the elongate device connector.

Abstract: An exemplary method includes vehicle-mounted sensors continuously detecting vehicle speed and vehicle tire and steering vibrations; a processor implementing a machine-learning program that continuously monitors signals from the vehicle-mounted sensors and compares detected vehicle tire and steering vibrations to upper bounds corresponding to detected vehicle speed; and the processor alerting a vehicle driver that wheel or tire service is required based on the detected vehicle tire and steering vibrations exceeding the upper bounds. An exemplary apparatus includes a vehicle; tires mounted to the vehicle; a speed sensor mounted to the vehicle; a vibration sensor mounted to the vehicle; and a processor connected in communication with the speed sensor and the vibration sensor. The processor is adapted to implement any of the method steps above.

Abstract: A method, system, and/or computer program product controls operations of an aerial drone within a predetermined airspace. One or more processors detects that the aerial drone has entered a predetermined airspace, and also determines a physical size of the aerial drone. In response to detecting that the aerial drone has entered the predetermined airspace, one or more processors directs the aerial drone to alter a velocity of the aerial drone based on its physical size.

Abstract: A method, a structure, and a computer system for digital twin management. The exemplary embodiments may include gathering data corresponding to one or more bodily tissues and generating one or more digital twin versions of the one or more bodily tissues. In addition, the exemplary embodiments may further include identifying a most appropriate digital twin version of the one or more digital twin versions based on a health and a compatibility of the one or more digital twin versions, and distributing the most appropriate digital twin version.

Abstract: A banknote processing device comprises a banknote transport path defined at least in part by a transport plate on one side of the banknote transport path, the banknote transport plate being pivotally mounted about a first axis near an upstream end of the transport plate, the transport plate including a working position and an open position, a display assembly being pivotally mounted about a second axis spaced a defined distance apart from the first axis, the display assembly including an operational position and a non-operational position, and a linkage coupled to display assembly and to the transport plate near a downstream end of the transport plate, wherein, when the display assembly is rotated from the operational position to the non-operational position, the linkage causes the transport plate to move from the working position to the open position.

Abstract: A medical instrument system comprises an imaging probe including a distal tip that includes a first sealing feature. The system includes an elongated medical instrument including a distal portion and a working channel extending to an opening in the distal portion to permit fluid to pass from the working channel. The distal portion includes a second sealing feature. A first interlocking feature is on an external surface of the imaging probe and a second interlocking feature is on an internal surface of the working channel. The imaging probe is configured to be selectively interlocked with the elongated medical instrument when the imaging probe is positioned within the working channel of the elongated medical instrument. The first and second sealing features are complementarily shaped and configured to contact one another to prevent passage of the fluid therebetween when the distal tip of the imaging probe has been advanced within the distal portion of the elongated medical instrument.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: Techniques facilitating mitigation of dangerous activities are provided. In one example, a computer-implemented method can include detecting, by a system operatively coupled to a processor, a trigger event based on a determination that a security risk level satisfies a defined condition associated with the security risk level. The security risk level can be associated with an item of interest and a monitored behavior related to the item of interest. The computer-implemented method can also include implementing, by the system, an action that mitigates an impact of the security risk level. The action can be implemented as the trigger event is detected and the action can be determined based on the item of interest and the monitored behavior.

Abstract: An example operation may include one or more of receiving user profile identification data associated with a user profile, creating a smart contract on a blockchain with the user profile identification data, validating an identity of the user profile based on the user profile identification data, performing a predictive analysis by the smart contract to determine one or more future tasks to be performed by a user device associated with the user profile, generating one or more tokens associated with the user profile, the one or more tokens include access rights for the user device to perform the one or more future tasks, and storing the one or more tokens in the blockchain.

Abstract: A signal representing a sound can be received. A machine learning model can be run to identify that the sound triggers a reaction in a user hearing the sound. A preventive action can be automatically activated to mitigate the reaction. The user's reactions can be monitored. Responsive to determining that the user's reaction has been mitigated or suppressed, the preventive action can be deactivated. The machine learning model can be retrained using at least the signal as new training data.

Abstract: An image file is to be posted on a social media web site is automatically detected, the image file containing at least an image of a first individual with a background image depicting a location determined to be unsafe. A risk level associated with the location is determined. Based on the risk level, an action is automatically activated, which prevents at least a second individual from taking a photograph of the second individual at the location.

Abstract: Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

Abstract: Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

Abstract: Methods, systems, and computer program products are provided. Aspects include determining characteristic data associated with a physical environment, based on the characteristic, determining an elastic map for the physical environment, wherein the elastic map comprises a graph comprising a set of nodes and a set of edges, wherein each edge connects two nodes and a set of configurable parameters that define an elastic coupling for each edge, determining an initial physical configuration of the set of nodes in the physical environment based on the elastic map, causing a set of mobile sensors to establish the initial configuration in the physical environment, simulating a mobile sensor elastic coupling between each mobile sensor based on the elastic energy function for each edge, collecting an environmental data point associated with the physical environment, and adjusting a configuration of the set of mobile sensors based on the environmental data point.

Abstract: The present invention is a system and method that generates a Table of Contents (TOC) customized to the user knowledge about the concept(s) in the user query and the specific context and preferences of the user. The invention identifies search concepts within the search queries, receives search results, and splits the search results into one or more result segments. In a preferred embodiment, a correlation strength between concepts in one or more of the result segments and the user search query, along with reference to the user knowledge, context, and/or preferences determine which result segments are selected in sequenced to form the TOC.

Abstract: An operation performed with a computer cursor on a graphical user interface (GUI) can be detected, which operation copies content pointed to by the computer cursor into a memory buffer. An analysis can be performed to determine a risk associated with the operation. Based on the analysis, a change in a GUI element of the GUI can be made or caused.

Abstract: An emergency vehicle that is displaying emergency lights detects an approaching vehicle, and assesses road conditions, intensity of the emergency lights at the approaching vehicle, a response of the approaching vehicle to the emergency lights, and a state variable related to a driver of the approaching vehicle. The emergency vehicle then obtains a likelihood value that the approaching vehicle will initiate an accident, by supplying information about the road conditions, the intensity of the emergency lights at the approaching vehicle, the response of the approaching vehicle, and the state variable as inputs to a neural network trained to correlate accidents to such information. In response to the likelihood value exceeding a threshold value, the emergency vehicle modifies the emergency lights.

Abstract: Context associated with content may be received. An additional content may be generated for insertion into the content. The additional content can be created to be within the context associated with the content and based on a likely responsiveness of the user to the additional content, the additional content referring to an item. The additional content preserves continuity and/or semantics in the context of the content.