Abstract: An instrument for use in cartilage removal comprises an elongate body having a first end and a longitudinal axis having a longitudinal direction. A cartilage removal portion is coupled to the elongate body at the first end. The cartilage removal portion includes a plurality of serrated blades substantially perpendicular to the longitudinal axis and adapted for removing material while moving in the longitudinal direction. Each serrated blade has a centroid located along the longitudinal axis.

Abstract: A method for operating a multi-level bridge power converter includes arranging a plurality of switching devices including at least four inner switching devices and at least two outer switching devices in an active neutral point clamped topology. The method also includes determining whether any of the switching devices is experiencing a failure condition by implementing a failure detection algorithm. The failure detection algorithm includes generating a blocking state logic signal by comparing a switching device voltage and a threshold reference voltage for each of the switching devices, determining an expected voltage blocking state for each of the switching devices based on gate drive signals of the switching devices and an output current direction, and detecting whether a failure condition is present in any of the switching devices based on the blocking state logic signals and the expected voltage blocking states of the switching devices.

Abstract: Dynamically generating data tests includes: receiving test templates and metadata for a plurality of data objects and, on a trigger condition: based on at least the metadata and the test templates, determining a current set of templated data tests, wherein determining the current set of templated data tests comprises: determining at least one templated data test, from a prior set of templated data tests, to cease using; determining at least one templated data test to add to the current set of templated data tests; and determining, within the current set of templated data tests, at least one templated data tests to regenerate; generating the at least one templated data test to add to the current set of templated data tests; regenerating the least one templated data test to regenerate; and executing templated data tests, within the set of current templated data tests, on the plurality of data objects.

Abstract: Methods and apparatus to communicate via a weld cable are disclosed. An example welding accessory includes a first port to receive input power via a first weld cable, a power converter to convert the input power to output power, a second port to output the input power via a second weld cable, and one or more output switches to selectively divert the input power from the power converter to the second port.

Abstract: A mobile device mounting system includes a device case and a mount. The device case includes: an insert including a rectangular bore and defining a set of undercut sections about the rectangular bore; and a first set of magnetic elements arranged in a first pattern about the rectangular bore. The mount includes: a body; a polygonal boss extending from the body and configured to insert into the rectangular bore; a set of locking jaws arranged on the polygonal boss configured to transiently mate with the set of undercut sections to constrain the polygonal boss within the rectangular bore; and a second set of magnetic elements arranged in a second pattern about the polygonal boss and configured to transiently couple to the first set of magnetic elements to transiently retain the mount against the device case and to drive the set of locking jaws toward the set of undercut sections.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a prediction of an audio signal. One of the methods includes receiving a request to generate an audio signal conditioned on an input; processing the input using an embedding neural network to map the input to one or more embedding tokens; generating a semantic representation of the audio signal; generating, using one or more generative neural networks and conditioned on at least the semantic representation and the embedding tokens, an acoustic representation of the audio signal; and processing at least the acoustic representation using a decoder neural network to generate the prediction of the audio signal.

Abstract: A diagnostic ultrasound system has a 2D array transducer which is operated with 1×N patches, patches which are only a single element wide. The “N” length of the patches extends in the elevation direction of a scanned 2D image plane, with the single element width extending in the lateral (azimuth) direction. Focusing is done along each patch in the elevation direction by a microbeamformer, and focusing in the lateral (azimuth) direction is done by the system beamformer. The minimal width of each patch in the azimuth direction enables the production of images highly resolved in the azimuthal plane of a 2D image, including the reception of highly resolved multilines for high frame rate imaging.

Abstract: Embodiments described herein, inter alia, receive telematics data collected over a period of time, wherein the telematics data is indicative of operation of a vehicle by a potential renter during the period of time; identify, upon analyzing the telematics data, driving behavior(s) of the renter during the period of time; determine, for each driving behavior, a corresponding state of an environment of the vehicle when the driving behavior occurred; determine renter eligibility value(s) for the renter based on the driving behavior(s) and the corresponding state of an environment of the vehicle; compare the renter eligibility value(s) to user preference value(s) of a profile of a vehicle owner, wherein the user preference value(s) define one or more criteria for vehicle renters with whom the vehicle can be shared; and cause an indication of the vehicle associated with the profile to be displayed only if the renter satisfies the criteria.

Abstract: A user analytics computing device for processing vehicle-based telematics data and generating user offerings responsive to the vehicle-based telematics data includes at least one processor in communication with a memory device. The processor is programmed to: (i) receive, from a vehicle computing device, telematics data associated with a plurality of trips taken by a first driver using a first vehicle, (ii) generate a driver profile of the first driver based at least in part upon the telematics data, (iii) access, from the memory device, contextual data associated with an environment in which the first vehicle travelled during the plurality of trips, (iv) synthesize the driver profile and the contextual data to generate a contextualized driver profile, (v) based upon the contextualized driver profile, generate a user offering to influence the driver profile, and (vi) transmit the user offering to a user computing device associated with the first driver.

Abstract: A wireless cell array tracker includes a daisy chain connecter and processor each supported on a circuit substrate. The circuit substrate is attached to a battery array. The daisy chain connector physically interfaces with a battery sensing module of the battery array. The processor retrieves data from the battery sensing module via the daisy chain connector, and commands wireless transmission of the data.

Abstract: A purge gas monitoring device and system are provided. The purge gas monitoring system includes a brew tank, a purge gas monitor coupled to a pipe connected to the brew tank, and a controller electronically coupled to the purge gas monitor. The controller is configured to: receive a plurality of oxygen concentration measurements from the purge gas monitor over a period of time, fit the plurality of oxygen concentration measurements onto a curve, and extrapolate the curve to estimate a time when oxygen concentration will reach a threshold.

Abstract: Described herein are methods and systems for generating and applying vehicle maintenance models to vehicle telematics data. A vehicle telematics analytics (VTA) computing device is configured to receive vehicle telematics data associated with operation of a subject vehicle, and apply the received vehicle telematics data to a vehicle maintenance model to determine whether the operation of the subject vehicle is better or worse than standard operation of like vehicles. The VTA computing device may adjust a maintenance cost and/or determine if a user of the vehicle is eligible for a reward based upon this determination. The VTA computing device is configured to transmit an itemized report to the user including the adjusted maintenance cost and/or the reward as well as one or more other vehicle costs.

Abstract: A method includes training artificial neural network models; analyzing first data to determine vehicle imperatives; and generating a respective action value by analyzing actions using the of trained artificial neural network models. A non-transitory computer readable medium containing program instructions that when executed, cause a computer system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models. A computing system includes: a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models.

Abstract: Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

Abstract: A system includes an optical source configured to generate an optical signal and illuminate a scene with the optical signal. A first spatial pattern generator comprising pixel elements is configured to form a mask, using the pixel elements, to mask a reflection of the optical signal received from the scene. A pattern controller is coupled to the first spatial pattern generator and configured to control the pixel elements individually to form the mask, and a detector is configured to measure an amplitude of the masked reflection of the optical signal. A digitizer is coupled to the detector and configured to digitize the measured amplitude into an amplitude value.

Abstract: A matching computer system for electronically generating, matching, and providing online user profiles, and determining a trust score for a user based upon at least social media data and insurance data is provided. The matching computer system may be configured to register users within the matching computer system, receive consent from the users to capture the social media data, and collect the social media data and the insurance data from each registered user. The matching computer system may also be configured to retrieve the social media data and the insurance data associated with each registered user. The matching computer system may be further configured to determine a trust score for each registered user based upon each respective social media data and each respective insurance data. Each trust score represents a level of trustworthiness of the user.

Abstract: Techniques facilitating a quantum gate between qubits using a tunable coupler are provided. In one example, a quantum coupler device can comprise a Josephson ring modulator (JRM) that is operatively coupled to first and second qubits in a balanced bridge topology via respective first and second capacitive devices. The JRM provides tunable coupling between the first and second qubits.

Abstract: The present systems and method relate generally to using non-fungible tokens (NFTs) to track shipping items. In some embodiments, identification information of a shipping item is obtained. An NFT may then be minted representing ownership of the shipping item. An indication that a receiving party has received the shipping item may then trigger transfer of the NFT to the receiving party to indicate that the receiving party possesses the shipping item.

Abstract: The disclosure relates to compositions and methods for treating a disease or condition associated with a TDP-pathology or a decline in TDP-43 functionality in neuronal cells in a subject, and for identifying candidate agents to suppress or prevent inclusion of an abortive or altered STMN2 RNA sequence.

Abstract: Techniques are described herein for intelligent charging of shipping container power supplies. An exemplary computer-implemented method may include (1) retrieving container data that includes a power supply indication for a set of shipping containers; (2) identifying one or more shipping containers, wherein the power supply indication for each of the shipping containers indicates that the one or more shipping containers include a power supply; (3) applying a charging model to the container data to determine (i) a charging prioritization, (ii) a respective charge value, and (iii) a respective charging rate; and (4) causing each of the one or more shipping containers to receive the respective charge value at the respective charging rate in a sequential order based upon the charging prioritization for each of the shipping containers.