Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive a positional deviation for a vehicle and update a classification of a geographic area in a GNSS deviation map layer based on the positional deviation. The positional deviation is based on sensor data generated by environmental sensors on board the vehicle, map data, and global navigation satellite system (GNSS) data received at the vehicle. The positional deviation indicates a difference between a GNSS pose of the vehicle derived from the GNSS data and a localized position of the vehicle indicated by the sensor data and the map data. The GNSS deviation map layer indicates a reliability of the GNSS data.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for demura optimization. A display processor computes a distance between a mura region on a display panel and an edge of a fovea region associated with a frame that is to be displayed on the display panel. The display processor compares the computed distance to a threshold. The display processor computes an adjustment to the fovea region based on the comparison of the computed distance to the threshold. The display processor outputs an indication of the computed adjustment to the fovea region.

Abstract: A system analyzes a set of static source code to identify source code segments that may be implemented using parallel multi-thread processing at run-time. The system determines whether source code segments meet multi-threading criteria, including lacking operational data dependencies and having particular run time or computing resource consumption characteristics. Based on determining that the source code meets multi-threading criteria, the system modifies the static source code to utilize parallel multi-thread processing at run-time. The system generates a recommendation for a user based on the source code modification.

Abstract: A bus bar current interruption device comprising a casing, providing an enclosure, and a bus bar arrangement. The bus bar arrangement is arranged to extend through the enclosure and comprises a first terminal end portion and a second terminal end portion, each of said first and second terminal end portions arranged outside of the casing. The bus bar arrangement further comprised a first fuse portion and a second fuse portion arranged in the enclosure. The casing comprises an exhaust opening configured to allow escape of vapor from the enclosure. The exhaust opening is fluidly connected to an exhaust chamber or conduit formed by the casing or attached to the casing.

Abstract: A multi-function universal serial bus (USB) device may include a plurality of USB interfaces, including a first USB interface and a second USB interface. The USB device may include a plurality of memories including a first memory and a second memory. The USB device may include a controller coupled to the first memory and the second memory, the controller configured to: identify which one of the first USB interface and the second USB interface is coupled to a host device; and perform operations on one of the first memory or the second memory based on which one of the first USB interface and the second USB interface is identified to be coupled to the host device.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: Method and/or systems for controlling transmission and reception of control signals associated with lock devices of a door lock system. The method comprises receiving, from a server, operational data corresponding to the door lock system. Further, the method comprises obtaining, by a master lock device, real-time information and real-time environmental condition information associated with the door lock system. The method also comprises determining, by the master lock device, a peak time duration and an off-peak time duration corresponding to the door lock system based on the received operational data and obtained real-time information. Moreover, the method comprises controlling, by the master lock device, the transmission and reception of the control signals associated with at least one slave lock device among the plurality of lock devices based on the determined peak time duration and the determined off-peak time duration.

Abstract: Techniques are disclosed for automatically generating Subjective, Objective, Assessment and Plan (SOAP) notes. Particularly, techniques are disclosed for training data collection and evaluation for automatic SOAP note generation. Training data is accessed, and evaluation process is performed on the training data to result in evaluated training data. A fine-tuned machine-learning model is generated using the evaluated training data. The fine-tuned machine-learning model can be used to perform a task associated with generating a SOAP note.

Abstract: Techniques for UNDO and REDO operations in a computer-user interface are disclosed. The techniques enables users to configure entities for UNDO and REDO operations. The techniques also enable users to roll back individual entity to an immediate previous state in one UNDO operation and subsequently to the other previous states. Other entities are not affected by the UNDO operations to the entity.

Abstract: Techniques for configuring autosave triggers in a computing environment based on environment and data conditions are disclosed. A system trains a machine learning model based on data attributes and environmental attributes to generate autosave value triggers for a computing environment. The autosave value triggers are triggered by different conditions. For example, one autosave trigger may be triggered when an error condition is detected. Another may be triggered when a certain number of operations are performed. The machine learning model generates autosave trigger values scores for one or more autosave triggers. The system may implement the autosave triggers in the computing environment based on the autosave trigger values.

Abstract: Techniques for at least the generation of a chatbot built from a custom vocabulary and to use runtime hints during inference are described. In some examples, the generation of the chatbot includes receiving a request to build a chatbot using a bot definition and a custom vocabulary, wherein the chatbot is to use runtime hints during usage; building the chatbot from the bot definition and custom vocabulary by at least: generating automatic speech recognition (ASR) artifacts to be used in decoding audio input into the chatbot into text for at least one other component of the chatbot to use in determining a next act to be performed, the ASR artifacts including artifacts that use the custom vocabulary and artifacts that do not use the custom vocabulary, and storing the ASR artifacts.

Abstract: The present disclosure relates generally to techniques for analyzing and improving a bot system, and more particularly to an analytic system integrated with a bot system for monitoring, analyzing, visualizing, diagnosing, and improving the performance of the bot system. For example, an analytic system is integrated with a bot system for monitoring, analyzing, visualizing, and improving the performance of the bot system. The analytic system monitors events occurred in conversations between end users and the bot system, aggregates and analyzes the collected events, and provides information regarding the conversations graphically on a graphic user interface as insights reports at different generalization levels. The insights reports offer developer-oriented analytics to pinpoint issues with skills so a user can address them before they cause problems.

Abstract: Systems, methods, and other embodiments associated with a configurable identification mechanism of debug parameters are described. In one embodiment, a method includes generating a graphical user interface (GUI) for a debugging program, where the GUI is configured to provide options to configure naming rules for threads during debugging of a computer process that includes multiple threads. The options to configure the naming rules may include configuring a naming rule that adds one or more context identifiers to a thread name. The thread name may be generated by automatically populating one or more of the context identifiers with a variable value that occurs during execution of the thread that corresponds to the one or more context identifiers. A conditional breakpoint may be controlled during debugging that is thread-specific based on a condition including at least one context identifier that matches a portion of the thread name.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to operate under at least a first device protocol and a second device protocol, where the first and second device protocols have different endurance and protection requirements. When data is programmed to the memory device using the first device protocol, but is read from the memory device using the second device protocol, the differing endurance and protection requirements may cause issues in reading the data. In order to alleviate the issues, during idle time of the second device protocol, the controller may program the data using the endurance and protection requirements of the second device protocol to a different portion of the memory device so that the data may be read using either or both device protocols with the appropriate recovery information.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to determine an estimated pose of a vehicle in a global reference frame having a first error and to determine an estimated second error based on a combination of the first error and a map error, in which the map error represents a difference between the estimated pose of the vehicle in the global reference frame and a corresponding estimated pose in a map-referenced frame. The stored instructions being additionally to predict a third error in a future map-referenced measurement frame based on the estimated second error and a motion model and to compute an update to the third error by combining the predicted third error with an accumulation of instantaneous vehicle position and heading errors obtained via a comparison between a camera-observed feature and a corresponding feature from a digital map.

Abstract: Techniques for configuring autosave triggers in a computing environment based on environment and data conditions are disclosed. A system trains a machine learning model based on data attributes and environmental attributes to generate autosave value triggers for a computing environment. The autosave value triggers are triggered by different conditions. For example, one autosave trigger may be triggered when an error condition is detected. Another may be triggered when a certain number of operations are performed. The machine learning model generates autosave trigger values scores for one or more autosave triggers. The system may implement the autosave triggers in the computing environment based on the autosave trigger values.

Abstract: An example system can include: at least one processor; and non-transitory computer-readable storage storing instructions that, when executed by the at least one processor, cause the system to: generate an ingestion manager programmed to ingest data associated with a job; and generate a logging manager programmed to capture metadata associated with the job; wherein the ingestion manager is programmed to automatically retry the job based upon the metadata captured by the logging manager.

Abstract: A device for wound irrigation and debridement includes a body extending along a longitudinal axis. The body comprises an interior region and an opening such that that the interior region and the first opening are configured to transfer an irrigation fluid. The body comprises a compliant region having a first stiffness and a debridement region having a different second stiffness. The compliant region defines a distal surface. In a first configuration, the compliant region defines a first axial dimension, the distal surface engages a target body region, and the debridement region is axially offset from the distal surface and disengaged from the target body region. In a second configuration, the compliant region is compressed to define a second axial dimension less than the first axial dimension, thereby engaging the debridement region with the target body region, and the distal surface engages the target body region.

Abstract: An actuator for opening the separable contacts of a circuit interrupter integrates a Thomson coil arrangement into the movable and stationary conductor assemblies. A movable separable contact is coupled to one end of the movable conductor, and a stationary separable contact is coupled to one end of the stationary conductor. The movable and stationary conductors are each formed with a collar positioned near the respective movable and stationary separable contacts. The actuator further includes a coil seated within a coil housing, and the coil housing is coupled to the stationary conductor collar. A conductive member shaped as a cup and structured to be actuated by the coil is coupled to the movable conductor collar, such that the rim of the cup faces the coil. A housing is positioned around the conductive member cup body with bellows and coupled to the coil housing, forming a vacuum chamber around the separable contacts.