Abstract: Systems and methods for customizing signal processing in a medical device to improve a closed-loop neuromodulation therapy are disclosed. An exemplary electrostimulation system comprises an electrostimulator to provide a neuromodulation therapy, a sensor circuit to sense a physiological signal from a patient, and a controller circuit. The controller circuit selects a signal transformation model from a plurality of candidate frequency- or time and frequency (TF)-based transformation models based at least on a signal property of the sensed physiological signal. The controller circuit processes the physiological signal using the selected signal transformation model, extract signal amplitude and phase information from the processed signal, and generate a feedback control signal to the electrostimulator to adjust the neuromodulation therapy based on the extracted signal features.

Abstract: Systems and methods for customizing signal processing functionality in a medical device to improve a closed-loop neuromodulation therapy are disclosed. An exemplary electrostimulation systemH comprises an electrostimulator, a sensor circuit to sense a physiological signal from a patient and to collect patient condition or contextual information during the sensing of the physiological signal, and a controller circuit. The controller circuit determines a signal processing parameter such as a filter setting based on the patient condition or contextual information, process the physiological signal using the determined signal processing parameter, and generates a feedback control signal to the electrostimulator to adjust the neuromodulation therapy based on a signal feature extracted from the processed physiological signal.

Abstract: Systems and methods for programming a neuromodulation therapy to a neuromodulation device are disclosed. An exemplary system comprises an electrostimulator and a programmer device operable by a user to program the electrostimulator. The programmer device includes a user interface and a controller circuit. The controller circuit collects user commands and contextual information, including a sequence of programming instructions received from the user during a programming session. The controller circuit determines a programming quality indicator using the user commands and contextual information, and generates an individualized programming workflow to guide the user to test and program a therapy setting. The electrostimulator can deliver a neuromodulation therapy in accordance with the user programmed therapy setting.

Abstract: Examples described herein include systems and methods for dynamically determining a server for enrollment with a management system. An example method can include receiving user input at an application executing on a user device, such as a portal application that provides access to and authentication for other applications through a catalogue of application icons. If the user input includes a first URL but that URL produces an error when used in conjunction with extensions associated with a management server, the application can automatically use extensions associated with an application-support server. The application can then retrieve a second URL from the application-support server and use it for performing enrollment steps at the management server. The enrollment steps can include authenticating the user at an identity service and determining the user's group ID for enrollment, for example.

Abstract: A system receives an access token generated by a user performing authentication via an authentication device, for example, a smart card. The system obtains a personalized virtual machine assigned to the user. The system exchanges the access token for a temporary certificate having an expiry time. The system provides the temporary certificate that includes verifiable user identity to a personalized virtual machine. The system provides the user with access to the personalized virtual machine. The system allows the user to present verifiable user identity and connect to any of a plurality of systems without requiring the user to authenticate again using the authentication device. After the expiry time of the temporary certificate is exceeded, the system denies subsequent requests from the user to connect to any of the plurality of systems.

Abstract: Systems and methods presented herein provide examples for distributing resources in a UEM system. In one example, the UEM system can receive a request to check out a user device enrolled in the UEM system. The request can include a profile identifier (“ID”) of a user profile making the request and attributes of the user device. The UEM system can create a hash of group IDs associated with the profile ID. The UEM system can create a device context that includes the device attributes and the hash. The UEM system can then determine if the device context matches to a resource context. Resource contexts can identify a set of UEM resources associated with a device context. Where a match is found, the UEM system can provide the corresponding resources to the user device.

Abstract: A device for encoding video data includes a memory configured to store video data, and a video encoder implemented in circuitry and configured to encode a future picture of the video data having a first display order position, the future picture being included in an intra period (IP) of the video data, the IP comprising a plurality of groups of pictures (GOPs), and after encoding the future picture, encode a picture of an ordinal first GOP of the plurality of GOPs using the future picture as a reference picture, each picture of the ordinal first GOP having display order positions earlier than the first display order position. Encoding the future picture in this manner may result in encoding performance improvements with minimal increases in encoding and decoding complexity.

Abstract: A three-dimensional memory device includes an alternating stack of insulating layers and electrically conductive layers, memory openings vertically extending through the alternating stack, and memory opening fill structures located within the memory openings. Each of the electrically conductive layers includes a metallic fill material layer and a plurality of vertical tubular metallic liners laterally surrounding a respective one of the memory opening fill structures and located between the metallic fill material layer and a respective one of the memory opening fill structures. The tubular metallic liners may be formed by selective metal or metal oxide deposition, or by conversion of surface portions of the metallic fill material layers into metallic compound material portions by nitridation, oxidation, or incorporation of boron atoms.

Abstract: A three-dimensional memory device includes an alternating stack of insulating layers and electrically conductive layers located over a substrate, memory stack structures vertically extending through the alternating stack, etch stop plates located in the staircase region, laterally and vertically spaced apart among one another, and overlying an end portion of a respective one of the electrically conductive layers, and contact via structures located in a staircase region, vertically extending through a respective one of the etch stop plates, and contacting a respective one of the electrically conductive layers.

Abstract: A device for decoding encoded mesh data determines, based on the encoded mesh data, a base mesh; determine, based on the encoded mesh data, a set of coefficients; receives in the encoded mesh data a quantization parameter value; determines an inverse scaling factor based on the quantization parameter value; performs an inverse scaling, based on the inverse scaling factor and using integer precision arithmetic, on the set of coefficients to determine a set of de-quantized coefficients; determines a displacement vector based on the set of de-quantized coefficients; deforms the base mesh based on the displacement vector to determine a decoded mesh; and outputs the decoded mesh.

Abstract: A method of encoding or decoding point cloud data includes signaling or parsing a slice level flag of a first slice, in coding order, of a current frame indicating to determine entropy coding states of the first slice of the current frame based on entropy coding states of a last slice, in coding order, of a previous frame of the point cloud data; determining the entropy coding states of the first slice of the current frame based on the entropy coding states of the last slice of the previous frame in a condition where the flag indicates to determine the entropy coding states of the first slice of the current frame based on the entropy coding states of the last slice of the previous frame; and encoding or decoding the first slice of the current frame based on the entropy coding states of the first slice.

Abstract: An example device for decoding point cloud data includes: a memory configured to store point cloud data; and one or more processors implemented in circuitry and configured to: decode encoded point cloud geometry data for a point cloud to form reconstructed point cloud geometry data for the point cloud; downscale the point cloud geometry data to form downscaled point cloud geometry data; decode attribute data for the point cloud using the downscaled point cloud geometry; apply the attribute data to the reconstructed point cloud geometry data to form intermediate point cloud data; and apply a residual learning network to the intermediate point cloud data to form a reconstructed point cloud.

Abstract: Techniques and devices are described for processing point cloud data. An example device includes one or more memories and one or more processors. The one or more processors are configured to process a syntax element indicative of whether a previous previous frame can be used for inter prediction for one or more points of point cloud data. The previous previous frame includes a reference frame of a previous reference frame. The one or more processors are configured to code the one or more points based on a determination of whether the previous previous frame can be used for inter prediction for the one or more points.

Abstract: A semiconductor structure includes an alternating stack of insulating layers and electrically conductive layers, a memory opening vertically extending through the alternating stack and a memory opening fill structure located in the memory opening. A Group IV-containing material portion is formed by selective deposition on an end portion of the vertical semiconductor channel. Alternatively, a backside semiconductor cap structure can be formed directly on a bottom surface of the vertical semiconductor channel by selective or non-selective deposition of a semiconductor material.

Abstract: A method of processing a point cloud includes determining that angular mode is enabled for encoding or decoding a current point of points in the point cloud, and parsing or signaling information for an azimuthal angle residual value for the current point independent of a radius value of the current point or a radius value of a previous point of the point cloud that is previous to the current point in decoding order. The azimuthal angle residual value is based on a difference between an azimuthal angle value of the current point and a predictor azimuthal angle value of the current point, and the azimuthal angle value of the current point is indicative an azimuthal angle of the current point based on a laser used to capture the points of the point cloud.

Abstract: A device for decoding encoded mesh data can be configured to determine, based on the encoded mesh data, a base mesh; determine, based on the encoded mesh data, a set of coefficients; receive in the encoded mesh data a quantization parameter value; receive in the encoded mesh data a bit depth offset value; determine an inverse scaling factor based on the quantization parameter value and the bit depth offset value; perform an inverse scaling on the set of coefficients based on the inverse scaling factor to determine a set of de-quantized coefficients; determine a displacement vector based on the set of de-quantized coefficients; deform the base mesh based on the displacement vector to determine a decoded mesh; and output the decoded mesh.

Abstract: A semiconductor structure includes an alternating stack of insulating layers and electrically conductive layers, a memory opening vertically extending through the alternating stack and a memory opening fill structure located in the memory opening. A Group IV-containing material portion is formed by selective deposition on an end portion of the vertical semiconductor channel. Alternatively, a backside semiconductor cap structure can be formed directly on a bottom surface of the vertical semiconductor channel by selective or non-selective deposition of a semiconductor material.

Abstract: A device for encoding point cloud data, the device comprising: a memory to store the point cloud data; and one or more processors coupled to the memory and implemented in circuitry, the one or more processors configured to: determine a horizontal plane position of a node, wherein the horizontal plane position indicates a position of a single plane that is perpendicular to a first axis of a coordinate system, wherein the first axis is a horizontal axis; determine, from a plurality of contexts consisting of 8 contexts, a context for the horizontal plane position of the node; and perform arithmetic encoding on a syntax element indicating the horizontal plane position using the determined context.

Abstract: An imaging device includes a pixel including a photoelectric conversion region, a first transfer transistor coupled to the photoelectric conversion region, a first floating diffusion, a second floating diffusion, a second transfer transistor coupled between the first floating diffusion and the second floating diffusion to control access to the second floating diffusion, a third transfer transistor coupled to the photoelectric conversion region, a third floating diffusion coupled, a fourth floating diffusion, and a fourth transfer transistor coupled between the third floating diffusion and the fourth floating diffusion to control access to the fourth floating diffusion. The imaging device includes a first wiring layer including a first wiring connected to the second floating diffusion, a second wiring connected to the fourth floating diffusion, and a third wiring connected to ground and capacitively coupled with the first wiring and the second wiring.