Abstract: Digital content operation testing techniques are described. An authoring environment supports edit operations to digital content. The authoring environment includes an option to initiate testing of operation of edited digital content at a publish environment of a content delivery network, at which, the digital content is to be deployed. Data describing results of the testing is then communicated over the network based to the digital content editing system. The data is output within the user interface of the authoring environment in this example such that an effect of edits made to the digital content are viewable non-modally within the authoring environment.

Abstract: A system, method, and computer-readable storage media for performing a transaction for a customer of a financial institution using math-based currency (MBC), the system comprising a permissioned ledger banking system comprising a transaction circuit comprising a transaction processor and a transaction memory, an account mapping circuit comprising an account mapping processor and an account mapping memory, and an MBC account database comprising an MBC account of the customer, a fiat banking system comprising an account management circuit and a customer fiat accounts database, and the permissioned ledger banking system and the fiat banking system are connected via a communications network, wherein the account management circuit comprises an account management processor and an account management memory storing executable account management instructions that when executed by the account management processor causes the account management processor to perform steps of storing a fiat account of the customer in the c

Abstract: A testing apparatus and method for detecting faults in encoders are disclosed. The testing apparatus includes a signal conditioning circuit board that receives an encoder signal and a central processing unit in communication with the circuit board and configured to: check for faulty amplitude, check for signal symmetry, check for signal offset, and/or check for signal transmission rate. The testing apparatus includes a real-time controller for real-time signal processing and fault detection.

Abstract: A method for encrypting data communication in a group video call is provided. The method includes receiving a media stream from a device with a first participant in a video conference call, the media stream including multiple data packets, for each data packet: identifying a prefix, indicative of a packet start, a metadata, and a user data that includes an encoded data for playing the media stream, forming an encrypted payload with the encoded data for each of the data packets according to a user key associated with the first participant in the video conference call, forming a source data packet consisting of one or more data packets, and generating a participant feed for the video conference call using a sequence of source data packets. A system, a memory storing instructions, and a processor for executing the instructions to cause the system to perform the above method, are also provided.

Abstract: Disclosed are systems and methods for summarizing content or preparing missed portions of content based on natural language queries. A natural language query can be received. One or more portions of summarized or missed content can be determined based on the natural language query, and transmitted to a user device.

Abstract: Alpha synuclein picobodies, which are N-terminal truncations of alpha synuclein nanobodies are provided. Methods of using alpha synuclein picobodies for diagnosing and treating synucleinopathies are also provided.

Abstract: The embodiments disclosed herein relate to various medical device components, including components that can be incorporated into robotic and/or in vivo medical devices. Certain embodiments include various modular medical devices for in vivo medical procedures.

Abstract: A method and/or system for initiating one of a plurality of cell transition activities for a UE supporting multicast and broadcast services (MBS). The technique may include identifying, by the UE, one or more candidate cells available for one of the plurality of cell transition activities for the UE. The technique may include identifying, by the UE, at least one candidate cell among the one or more candidate cells that support MBS. The technique may include initiating, by the UE, one of the plurality of cell transition activities for the UE using the at least one candidate cell.

Abstract: A method for providing a reference prior for a portion of a route to a planning stack of a vehicle. The method includes accessing manual driving data associated with the route portion, the manual driving data stored in a database; averaging the accessed manual driving data to determine a nominal path for the route portion; and providing the nominal path to the planning stack of the vehicle as the reference prior for the route portion, wherein the planning stack consumes the reference prior for planning maneuvers of the vehicle in traversing the route portion.

Abstract: A laundry kiosk is provided according to an aspect of the present disclosure. In an embodiment, the laundry kiosk contains a user interface component to receive laundering choices for a garment from a user and an apparatus to process the garment according to the received choices. The laundering choices include one or more of a combination of cleaning, pressing and drying. A suitable enclosure is also provided to hold the apparatus and the user interface component.

Abstract: A method is described and includes detecting by a vehicle an ambiguous situation involving the vehicle; classifying the detected ambiguous situation; and submitting in substantially real-time a request for remote assistance by a remote advisor to resolve the detected ambiguous situation, wherein contents of the request are based at least in part on the classifying.

Abstract: A video recording system and method for seamlessly appending one or more new, discontinuously recorded video segments to a selected previously recorded existing video file, to create a merged video file. The system provides a “continue video” control associated with each previously recorded video file, which a user can activate from an interface display where information identifying the previously recorded video file is displayed, such as its filename and/or a representative thumbnail image. The system allows a user to separately view and label the merged video stream and each segment.

Abstract: In various examples, systems and methods are disclosed that provide highly accurate gaze predictions that are specific to a particular user by generating and applying, in deployment, personalized calibration functions to outputs and/or layers of a machine learning model. The calibration functions corresponding to a specific user may operate on outputs (e.g., gaze predictions from a machine learning model) to provide updated values and gaze predictions. The calibration functions may also be applied one or more last layers of the machine learning model to operate on features identified by the model and provide values that are more accurate. The calibration functions may be generated using explicit calibration methods by instructing users to gaze at a number of identified ground truth locations within the interior of the vehicle. Once generated, the calibration functions may be modified or refined through implicit gaze calibration points and/or regions based on gaze saliency maps.

Abstract: User equipment includes a receiver, a first antenna and a second antenna coupled to the receiver, and processing circuitry communicatively coupled to the receiver and configured to cause the receiver to receive a first signal via the first antenna and a second signal via the second antenna, adjust the first signal based on a first time offset and a first frequency offset associated with the first signal to generate a first adjusted signal, adjust the second signal based on a second time offset and a second frequency offset associated with the second signal to generate a second adjusted signal, and decode downlink information based on the first adjusted signal and the second adjusted signal.

Abstract: An electronic device includes a transceiver and processing circuitry communicatively coupled to the transceiver and configured to transmit uplink signals to a secondary communication node in response to determining that an uplink beam of a primary communication node is non-functional while continuing to receive downlink signals from the primary communication node using a downlink beam. Using multi-beam coverage by multiple communication nodes provide more reliable communications for the electronic device when a beam of a communication node is non-functional.

Abstract: Aspects of the present disclosure provide methods, devices, and computer-readable storage media that support adaptive scheduling of electric vehicles (EVs) of an EV fleet for order deliveries. In some implementations, one or more aspects of the adaptive EV scheduling may be customized for EVs. For example, the adaptive EV scheduling may include identifying an energy efficient route that also reduces stress on a battery of an EV and may be based at least in part on a charging parameter associated with the EV. In some examples, the charging parameter may include one or more of a state of charge (SOC) associated with the battery, a state of health (SOH) associated with the battery, a location of a charging station for the EV, an average charging duration associated with the EV, or an intelligent charging parameter associated with the EV.

Abstract: Siamese neural networks (SNN) are configured to detect differences between financial transactions for multiple financial institutions and transactions for a target party. A first neural network of the SNN tracks transactions (target transactions) for a particular customer or financial institution over time and provides a target output vector. Similarly, a second neural network of the SNN tracks transactions (baseline transactions) for all or a plurality of financial institutions (e.g., within a region) over the same period of time and provides a baseline output vector. The transactions for all or a plurality of financial institutions act as a baseline of transactions against which potentially fraudulent or money laundering activity may be compared. Because Siamese neural networks account for temporal changes based on the baseline of transactions, sudden changes in target transactions will only trigger an alarm if such changes (e.g., deviations or drifts) are relative to a baseline of transactions.

Abstract: Systems and methods are disclosed for conducting spinal cord stimulation or other neurostimulation and sensing evoked compound action potential (ECAP) signals. The sensed signals may be processed to isolate ECAP features from noise and/or interfering signals. The isolated ECAP features may be used to control neurostimulation therapy for the patient, such as to quantify or measure lead migration and adjust a neurostimulation therapy for the patient to account for an impact of any detected lead migration, or other purposes (e.g., to guide an implant procedure).

Abstract: Arrangements for database schema creation and control are provided. In some aspects, a user may request creation or modification of a database schema. In response to receiving the request, one or more interactive user interfaces may be generated. The one or more interactive user interfaces may enable a user to select one or more selectable options for presenting data, establishing relationships between data, data sources, and the like. The schema, including a schema configuration including the presentational aspects and relationships, may be stored. A user may request to view data and the stored database schema may be retrieved. The schema may be transmitted to a configuration engine that may retrieve the requested data from one or more non-relational database sources. One or more user interfaces may be dynamically generated based on the schema configuration and may include the retrieved data.

Abstract: A system and method for controlling a drilling tool inside a wellbore makes use of projection of optimal rate of penetration (ROP) and optimal controllable parameters such as weight-on-bit (WOB), and rotations-per-minute (RPM) for drilling operations. Optimum controllable parameters for drilling optimization can be predicted using a data generation model to produce synthesized data based on model physics, an ROP model, and stochastic optimization. The synthetic data can be combined with real-time data to extrapolate the data across the WOB and RPM space. The values for WOB an RPM can be controlled to steer a drilling tool. Examples of models used include a non-linear model, a linear model, a recurrent generative adversarial network (RGAN) model, and a deep neural network model.