Abstract: Systems and methods for providing a network profile for an Embedded Universal Integrated Circuit Card (eUICC) include generating a first profile corresponding to a first communication protocol, generating a second profile corresponding to a second communication protocol, associating the first profile and the second profile with a same profile record, and providing either the first profile or the second profile to a user device based on a determined communication protocol, from among the first communication protocol and the second communication protocol, to be used by the user device.

Abstract: A system and method relate to excluding biasing data from talent profiles, including identifying one or more classes of bias, obtaining a first talent profile, wherein the first talent profile comprises an identifier of a person, and a plurality of values characterizing aspects of the person, determining, from the plurality of values, a first value that is indicative of influences over at least one of the one or more classes of bias, and removing or substituting the first value in the first talent profile to generate a second talent profile.

Abstract: A wireless communication system for exchanging messages between a patient support apparatus and a headwall unit includes intelligence built into either or both of these devices (and/or a server) for detecting when a mismatch occurs between the communication capabilities of the patient support apparatus and those of the headwall unit. A warning is issued in those situations where a caregiver is relying on communication abilities that are not present in one or both of the devices. Examples of such situations include, but are not limited to, a nurse call cable not being coupled between the patient support apparatus and the nurse call system when the patient support apparatus does not have the capability to wirelessly communicate with the nurse call system. Alternatively, or additionally, the headwall unit may issue an alert to a nurse call system if it detects one or more conditions that warrant immediate caregiver attention.

Abstract: A system and method generating an optimized medical image using a machine learning model are provided. The method includes (i) receiving one or more medical images, (ii) segmenting to generate a transformed medical image for detecting a plurality of target elements, (iii) displaying the transformed medical image, (iv) receiving markings and scribblings associated with scribble locations from a user, (v) identifying errors associated with an outline of a target element, (vi) computing a loss function for a location of pixels where the target element is located on the transformed medical image, (vii) modifying the pre-defined weights (w) to match the segmentation output and the determined target element, (viii) determining whether the segmentation output is matched with the target element and (ix) generating the optimized medical image if the segmentation output is matched with the determined target element.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an uplink reference signal configuration indicating antenna switching for transmitting an uplink reference signal of a first radio access technology (RAT). The UE may report a rank for a downlink communication of a second RAT, wherein the rank is in accordance with an upper bound, for the rank, associated with mitigating downlink performance degradation on the second RAT due to the antenna switching. Numerous other aspects are provided.

Abstract: According to an embodiment of the disclosure, a method may include providing, by the electronic device, a plurality of Pareto fronts based on at least two performance parameters. The method may include identifying, by the electronic device, an optimal Pareto front from among the plurality of Pareto fronts. The method may include providing, by the electronic device, a second AI model iteratively. The method may include identifying, by the electronic device, whether the second AI model belongs to the optimal Pareto front. The method may include identifying, by the electronic device, the at least two performance parameters corresponding to the second AI model based on identifying that the second AI model belongs to the optimal Pareto front. The method may include obtaining, by the electronic device, the second AI model based on identifying that the second AI model meets one or more predetermined performance parameters.

Abstract: Embodiments of the invention provide a computer system that includes a processor communicatively coupled to a memory. The processor is operable to perform processor operations that include accessing video information having a plurality of image regions; and accessing text information associated with the video information. The text information is used to determine a set of relevance results that result from performing a relevance evaluation on each of the plurality of image regions. A first group of relevance results are determined, where the first group of relevance results are within the set of relevance results. A first group of image regions are determined, where the first group of image regions are within the plurality of image regions that are associated with the first group of relevance results. The text information is incorporated within a selected one of the first group of image regions.

Abstract: Electrostatic chucks (ESCs) for plasma processing chambers, and methods of fabricating ESCs, are described. In an example, a substrate support assembly includes a ceramic top plate having a top surface with a processing region. One or more electrodes is within the ceramic top plate. A plurality of mesas is within the processing region and on the top surface of the ceramic plate or vertically over an edge of one of the one or more electrodes.

Abstract: The present disclosure provides systems, methods, and computer-readable media for implementing security polices at software call stack level. In one example, a method includes generating a call stack classification scheme for an application, detecting a call stack during deployment of the application; using the call stack classification scheme during runtime of the application, classifying the detected call stack as one of an authorized call stack or an unauthorized call stack to yield a classification; and applying a security policy based on the classification.

Abstract: A transformer includes a housing having a base wall, a first side wall, a second side opposing wall, a third side wall joining the first side wall and the second side wall at a first end including a first cooling channel joining the first side wall and the second side wall at a first end, and a fourth side wall including joining the first side wall and the second side wall at a second end. The first, second, third, and fourth side walls collectively define an interior portion. A cover extends across each of the first side wall the second side wall, the third side wall, and the fourth side wall. A cooling system includes a first cooling channel disposed in the third side wall, a second cooling channel disposed in the fourth side wall, and a third cooling channel disposed in the cover.

Abstract: Described herein is a graphics processor including a plurality of processing clusters coupled with a host interface, each processing cluster comprising a plurality of multiprocessors, the plurality of multiprocessors interconnected via a data interconnect, and each multiprocessor comprising sparse matrix multiply acceleration hardware including a systolic processing array with feedback inputs.

Abstract: A technique facilitates production of desired well fluids. A well string may comprise a plurality of well screen joints which are assembled for receipt of a well fluid from a desired well zone along a wellbore. The well screen joints are constructed and assembled in a manner which also creates a flow path to a common inflow area. At this common inflow area, the well fluid may be directed through a port or ports into an interior production passage of the well string for production to a desired collection area. The port or ports at the common inflow area may be selectively closed to block inflow of fluid from the plurality of well screen joints.

Abstract: A voice communications computer system (“VCCS”) receives a ring signal from a call device having unverified device identification data. The VCCS identifies an audible frequency component and an electronic frequency component of the ring signal. The VCCS identifies a device identification characteristic or a geographic location characteristic based on the audible or electronic frequency components, and identifies a stored identification characteristic associated with the device identification data. Based on a comparison of the stored identification characteristic with the device identification characteristic or geographic location characteristic, the VCCS generates fraud estimation data. In some cases, the VCCS generates call status data based on the fraud estimation data. The VCCS provides the fraud estimation data or the call status data to a user interface device, which is configured to display data or perform a call action for a call associated with the ring signal.

Abstract: An exemplary system and method are disclosed for a handheld or hand-enclosed instrument configured with ultra-wideband localization using unidirectional messaging protocol based on time difference of arrival (TDoA) measurements that can be used as inputs, in a realtime control loop, to a software application that uses the handheld or hand-enclosed instrument as an input user interface. The handheld or hand-enclosed instrument can be readily employed for UI in large work areas (e.g., 2D), such as a whiteboard or wallboard, with sub-millimeter resolution and sub-millisecond latency. The handheld or hand-enclosed instrument can be readily employed in a UI device for non-conforming 3D workspace such as a sculpting instrument, in hand-enclosed game interface, as a remote medical instrument, among others described herein.

Abstract: Apparatus and methods for intelligently classifying unclassified transactions are provided. A program may receive a set of transaction data. The program may divide the set into a training set of classified transactions and a test set of unclassified transactions. The program may analyze the training set to generate a document term matrix. The program may analyze the test set and compare the analyzed terms to the document term matrix to predict a classification. The program may iterate to a pre-determined level of confidence in the prediction and assign a classification to a particular transaction.

Abstract: A method includes causing an electronic self-organizing network (eSON) general-purpose remote procedure call (gRPC) client to register a first cell in a communication network. The first cell is registered on an eSON gRPC server. The method also includes causing first information associated with the first cell to be processed by the eSON gRPC server to determine whether a mismatch exists between the first cell and a second cell in the communication network. The method further includes, in response to receiving a first message indicating the mismatch exists from the eSON gRPC server, sending a second message indicating the mismatch exists to an operational support system (OSS) to cause the OSS to generate a change request to be communicated to a network configuration controller for changing a network function implemented by a network device corresponding to one of the first cell or the second cell to resolve the mismatch that exists.

Abstract: One or more embodiments of the present disclosure relate to executing a software testing tool to identify function calls—internal and/or external—of software code and their corresponding errors. Once identified—such as during an information gathering operation—the error codes may be returned in place of actual outputs of the function during testing, and the downstream processing of the software as a result of the errors may be evaluated. As such, an automatic software testing tool may be implemented that not only identifies functions calls and corresponding errors, but also evaluates performance of the software in view of the various different error types associated with the function calls.

Abstract: Disclosed are POEGMA-aptamer conjugates with a reduced or eliminated host-immune response. An example conjugate includes an aptamer conjugated to a POEGMA having a plurality of side chains, where each side chain includes 1 to 6 monomers of ethylene glycol repeated in tandem. Also disclosed are methods of making the conjugate and methods of using the conjugate. An example method of use includes a method of controlling coagulation in a subject.

Abstract: A method and an apparatus for logging events in a communication system is provided. The method comprises receiving, from a network function, a request for creating a managed object instance (MOI) of an information object class (IOC) for registering logs associated with a plurality of management services of a communication network. The method further comprises creating a fragment of network resource model (NRM) for logging events associated with the plurality of management services, based on the MOI, wherein the NRM comprises a set of MOIs. Additionally, creating the fragment comprises generating the set MOIs for logging events related to the plurality of management services, wherein the set of MOIs comprise an MOI for registration of a log, an MOI for information of the log, and an MOI for entry of the log. Advantageously, the present disclosure enables logging of events in communication networks.

Abstract: A component health determination and reporting system includes a computing device having a computing device component. The computing device component includes computing device component subsystem(s) coupled to a health report generation subsystem. The health report generation subsystem receives telemetry data from each of the computing device component subsystem(s), performs data compaction operations on the telemetry data to generate compacted telemetry data, performs inference operations on the compacted telemetry data to generate a health report for the computing device component, and provides the health report to the computing device.