Abstract: Systems and methods are disclosed herein for processing ultrasound images to identify objects for diagnostic and/or interventional use. For instance, an ultrasound image of an anatomical structure may be received from a computing device of an ultrasound imaging system. The ultrasound image may be input to a machine learning model that is trained to identify a plurality of objects in ultrasound images of the anatomical structure. The plurality of objects may include anatomical features, disruptive features, and/or instruments. A prediction of one or more objects from the plurality of objects identified in the ultrasound image may be received as output of the machine learning model. An indication of the prediction may be provided to the computing device for display on a display of the ultrasound imaging system.

Abstract: In some embodiments, a system comprises a host computing device and an audio device communicatively coupled to the host device and including at least one speaker and a plurality of light emitters. The host computing device can include a processor(s) and one or more machine-readable, non-transitory storage mediums with instructions configured to cause the processor(s) of the host computing device to perform operations including receiving user environment data by one or more sensors of the host computing device, receiving user selection data corresponding to a selected mode of operation of the audio device, determining a characterization profile of a surrounding environment of the user based on the user environment data, and sending the characterization profile to the audio device, the characterization profile configured to cause the audio device to control the plurality of light emitters based on the characterization profile and the selected mode of operation.

Abstract: Example embodiments of the present disclosure provide for an example method. The example method includes obtaining session data descriptive of a plurality of user sessions, the plurality of user sessions respectively including an interaction with an input element rendered at a user device and a request for a resource associated with the input element. The example method includes obtaining, using a first machine-learned model, a plurality of weights associated with the plurality of user sessions by, for a respective user session of the plurality of user sessions: inputting, to the first machine-learned model, data descriptive of one or more characteristics of the respective user session; and obtaining, from the first machine-learned model, a respective weight of the plurality of weights, the respective weight indicative of an incremental probability of the request conditioned on rendering of the input element.

Abstract: A sole assembly for an article of footwear. The sole assembly includes a top midsole layer, a bottom midsole layer and a plate disposed between the top midsole layer and the bottom midsole layer. The plate includes a forefoot portion with lateral, medial and central longitudinal extensions, and a heel portion with a heel cup and a heel flange extending outwardly from the heel cup. The central and lateral longitudinal extensions are joined by a bridge. The top midsole layer is seated within the heel cup and does not cover the upper surface of the heel flange. The bottom midsole layer underlies and supports the heel flange.

Abstract: Methods and apparatus for providing delivery of content to client devices of a network via both multicast and unicast mechanisms. In one embodiment, a system for use in a managed content delivery network is described to bridge multicast to unicast, so that the total network bandwidth consumption is significantly lower than a corresponding unicast-only delivery solution, yet which still provides improved quality of service and user viewing experience as compared to a multicast-only delivery solution. In addition, various exemplary aspects of the present disclosure are readily adapted for real-time multicast to unicast streaming of audio and data to, among other things, minimize network bandwidth usage, while maintaining the guaranteed delivery of unicast streams with little or no modification to the existing client device logic.

Abstract: Methods for diagnosing if a patient is suffering from a stroke include: positioning a headset around the patient's head to receive vibrations generated by a cerebral vasculature of the patient's brain, the headset including at least one microphone or accelerometer; processing the received vibrations to obtain a signal; analyzing the signal to identify a pattern indicative of a stroke; and determining that the patient is suffering from a stroke based upon the result of a CT scan of the patient's brain and neck and the identified pattern indicative of a stroke.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for, within a transportation matching system, identifying a threshold deviation angle or a threshold deviation radius, determining a directional filter, and providing a transportation match probability indicator based on the directional filter. In particular, in one or more embodiments, the disclosed systems provide a deviation angle control element or a dispatch radius control element for selectively designating the threshold deviation angle or the threshold deviation radius. In one or more embodiments, the disclosed systems update the transportation match probability indicator based on user manipulation of the deviation angle control element or the dispatch radius control element.

Abstract: Human antibodies immunospecific for human CD27 are capable of blocking CD27 binding to its ligand CD70 and neutralizing bioactivity of CD27 including, but not limited to, CD27 intracellular signaling, T-cell proliferation and activation, B-cell proliferation and differentiation, plasmablast formation and alleviation of antibody responses, stimulation of tumor cells by CD70, and the production of soluble mediators from T and B-cells. The antibodies are useful in diagnosing or treating CD27 activity associated diseases and conditions.

Abstract: Methods and apparatus for providing a messaging server within a premises device e.g., a home or enterprise gateway device. In one embodiment, a system is described that includes a premises device that acts as a centralized client messaging platform providing messaging services between a content provider and client devices, and also between client devices within a premises network. The premises device enables client-to-client communication that bypasses the long trip and propagation delay over the Internet by connecting the message across the premises network within the home or building.

Abstract: Systems and methods are disclosed herein for processing ultrasound images to identify objects for diagnostic and/or interventional use. For instance, an ultrasound image of an anatomical structure may be received from a computing device of an ultrasound imaging system. The ultrasound image may be input to a machine learning model that is trained to identify a plurality of objects in ultrasound images of the anatomical structure. The plurality of objects may include anatomical features, disruptive features, and/or instruments. A prediction of one or more objects from the plurality of objects identified in the ultrasound image may be received as output of the machine learning model. An indication of the prediction may be provided to the computing device for display on a display of the ultrasound imaging system.