Abstract: A method for managing traffic processed by a target network function of a communication network is disclosed. The target network function transmits and receives traffic over a communication channel that carries traffic between network functions and application functions. The method, performed by a Data Analytics Function (DAF) of a communication network, comprises receiving information about traffic flows over the communication channel, establishing a priority amongst traffic flows over the communication channel, based on the received information, generating a recommendation for traffic processing on the basis of the established priority, and sending the generated recommendation to a function in the network that has a management responsibility for the target network function.

Abstract: Disclosed systems, methods, and computer readable media can diagnose a health condition based on patient time series data. For example, a method for diagnosing a health condition based on patient time series data includes identifying a training set of health records comprising a first set of patient time series data, training a neural network using the training set of health records, and executing the trained neural network model to diagnose a health condition based on a second set of patient time series data. In further examples, the first set of patient time series data and the second set of patient time series data can each comprise electrocardiogram data and the health condition can comprise pulmonary hypertension.

Abstract: A memory subsystem and method for performing calibrations therein is disclosed. A memory subsystem includes a memory controller coupled to a memory by a plurality of signal paths. The memory controller is configured to perform an initial calibration to determine respective eye patterns corresponding to the ones of the plurality of signal paths. For a subsequent calibration, updated eye patterns are determined for a subset of the plurality of signal paths. Remaining ones of the plurality of signal paths (not included in the subset), are not active during the subsequent calibrations. Updated eye patterns for the remaining ones of the plurality of signal paths are determined based on information obtained during the initial calibration and information from signal paths in the subset designated proxies for the remaining ones of the plurality of signal paths.

Abstract: Generating object morphisms during object search includes obtaining object-search request data, wherein the object-search request data includes object-search terms, obtaining resolved-request data representing the object-search terms, determining that a first analytical object partially consistent with the resolved-request data is available, wherein the first analytical object is consistent with a first portion of the resolved-request data, generating candidate object-morphism data with respect to the first analytical object in accordance with a second portion of the resolved-request data, outputting object-search response data including the candidate object-morphism data for presentation to a user, obtaining data indicating a selected object morphism from the candidate object-morphism data, generating a second analytical object in accordance with the first analytical object and the selected object morphism, wherein the second analytical object differs from the first analytical object, and outputting response

Abstract: In one example, a method comprises: receiving an indication that an object is within a distance from an array of ultrasonic transducers; based on the indication, configuring a subset of the array of ultrasonic transducers to perform an ultrasonic sensing operation on the object; obtaining, from the subset of the array of ultrasonic transducers, an output of the ultrasonic sensing operation; and performing an action based on the output of the ultrasonic sensing operation.

Abstract: Techniques are provided for timestamp consistency. An operation targeting a first storage object having a synchronous replication relationship with a second storage object is intercepted. A timestamp is assigned to the operation. A replication operation is created as a replication of the operation. The same timestamp is assigned to the replication operation. The operation is implemented upon the first storage object and the replication operation is implemented upon the second storage object.

Abstract: Techniques are provided for volume group backup, volume group restore, and volume group garbage collection for volume groups backed up to an object store. A volume group workflow is implemented to orchestrate individual consistent volume workflows that are separately and individually implemented by nodes hosting constituent volumes of a volume group. The volume group workflow and the individual consistent volume workflows are performed to back up the volume group to the object store, restore a volume group backup from the object store to a restore destination, and/or perform garbage collection on slots of objects storing data unique to a volume group backup to delete.

Abstract: Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input (e.g., that includes at least the NL based input) to generate LLM output, and determine, based on the LLM output, textual content for inclusion in the multi-modal response and multimedia content for inclusion in the multi-modal response. In some implementations, the multimedia content can be obtained based on a multimedia content tag that is included in the LLM output and that is indicative of the multimedia content. In various implementations, the multimedia content can be interleaved between segments of the textual content.

Abstract: A biosensor includes first and second substrates that define a cavity therebetween. A sensing structure, having a functionalized active surface is provided on the first substrate, within said cavity. A flow control structure is provided on the second substrate, which extends into the cavity, and a gap between the distal end of the flow control structure and the sensing structure provides a fluid flow channel across said functionalized active surface. The biosensor further includes an inlet port, adjacent the proximal end of the flow control structure, at one end of the fluid flow channel, and an outlet port at the opposite end of the fluid flow channel. The flow control structure is shaped and configured such that, in use, fluid injected at the inlet port flows into and through the fluid flow channel to the outlet port, thereby exerting a shear force on the functionalized active surface.

Abstract: In one embodiment, a method includes accessing a sequence of raw images comprising at least a first raw image, a second raw image, and a third raw image sequentially, wherein the second raw image comprises image noise, warping the first and third raw images with respect to the second raw image based on an optical flow associated with the sequence of raw images, generating an input tensor based on the first warped raw image, the second raw image, and the third warped raw image, and generating a denoised raw image based on one or more machine-learning models for the second raw image based on the input tensor.

Abstract: The present invention relates to a composition comprising one or more of clove oil, eucalyptus oil, basil oil, ginger oil, an extract or component of any of these, or a combination thereof, and to a buffer composition having a pH of from 6.7 to 7.9 at a temperature of 37° C., both for use in the treatment, prophylactic treatment or amelioration of an airborne viral infection, or for use in reducing viral replication in a subject infected with an airborne virus or exposed to an airborne virus capable of causing an airborne viral infection in the subject. The present invention also relates to an aqueous composition either comprising a buffer and an essential oil with antiviral, antibacterial or antifungal activity; or comprising a buffer, hydrogen carbonate ions, and zinc ions; or comprising a buffer, hydrogen carbonate ions, and transferrin and/or iron ions. The present invention also relates to methods of preparing the compositions, and to concentrates of the compositions.

Abstract: In one embodiment, a method includes accessing a video captured by cameras which is associated with a first framerate lower than a threshold framerate, for any two adjacent frames of the accessed video: generating a warped frame from the two adjacent frames based on an optical flow associated with the two adjacent frames, determining alignments for the two adjacent frames, respectively, fusing the determined alignments for the two adjacent frames, and generating a reconstructed frame based on the fused alignment, and reconstructing the accessed video based on the any two adjacent frames and their respective reconstructed frames, wherein the reconstructed video is associated with a second framerate higher than the threshold framerate.

Abstract: A contextual processing engine architecture. The architecture utilizes data objects retrieved from a database to form a new transactional item data structure as input into a contextual processing engine. The transactional data structure includes a prior context pointer to point to historical context. The historical context can be null for new transactions or one or more basis transaction item data structures for contextual transactions. The processing engine processes the input using process functions lists and aggregates the results for output.

Abstract: An apparatus includes a cable having two ends and at least two object markers coupled to the cable configured to enable augmented reality (AR) detection of each end of the cable among a plurality of cables. A computer-implemented method using augmented reality (AR) technology includes selecting a cable of interest and identifying an object marker positioned toward a first end of the cable of interest. The method also includes storing the object marker, scanning a plurality of cables, and identifying a second end of the cable of interest based an instance of the object marker positioned toward the second end of the cable of interest. A computer program product for detecting ends of cables using augmented reality (AR) technology includes a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a computer to cause the computer to perform the foregoing method.

Abstract: Methods and systems are provided for configuring static memory in a device by analyzing a set of functionalities of a first device based on at least one use case wherein the at least one use case are associated with configuring available static memory in processing at least one functionality of the first device; configuring at least a first profile composed of the first part for memory allocation of the available static memory to a first processor, and a second part for memory allocation of the available static memory to a second processor of the first device; selecting the first profile either automatically or via a graphical user interface (GUI) by identifying a set of performance characteristics related to the functionality, and implementing the memory allocation by the first profile in processing the at least one functionality in the use case by the first device.

Abstract: A method for managing voice-based interaction in an Internet of things (IoT) network system is provided. The method includes identifying a first voice utterance from a first IoT device among a plurality of IoT devices in the IoT network system. Further, the method includes identifying at least one second voice utterance from at least one second IoT device among the plurality of IoT devices in the IoT network system. Further, the method includes determining a voice command by combining the first voice utterance and the at least one second voice utterance. Furthermore, the method includes triggering at least one IoT device among the plurality of IoT devices in the IoT network system to perform at least one action corresponding to the voice command.

Abstract: A system includes one or more components within an internal cabin of a vehicle. An imaging device is configured to obtain an image of the one or more components. A state determination control unit includes a processor. The state determination control unit is in communication with the imaging device. The state determination control unit receives image data including the image from the imaging device. Further, the state determination control unit determines a state of the one or more components based on the image data.

Abstract: Some disclosed methods involve controlling a fingerprint sensor system to scan a portion of a user's digit on a surface of an apparatus using a plurality of trial fingerprint sensor system parameters and selecting, from among the trial fingerprint sensor system parameters, one or more personalized fingerprint sensor system parameters for inclusion in a set of personalized fingerprint sensor system parameters. Some disclosed methods involve selecting, based on the one or more personalized fingerprint sensor system parameters, an existing fingerprint sensor system parameter data structure that includes a set of existing fingerprint sensor system parameters, obtaining additional fingerprint sensor system parameters from the set of existing fingerprint sensor system parameters for inclusion in the set of personalized fingerprint sensor system parameters, and storing the set of personalized fingerprint sensor system parameters for future scans of the fingerprint sensor system.

Abstract: A method for determining a bundling size, user equipment and a network-side device are provided The method includes: reporting, by user equipment, capability information to a network-side device, where the capability information is used to indicate whether the user equipment supports one-physical resource block bundling, and receiving a bundling size set configured by the network-side device for the user equipment according to the capability information, where supporting the one-physical resource block bundling indicates that a turn-off of a physical resource block bundling function is supported; and/or using, by the user equipment, a default bundling size or a bundling size configured via a higher-layer signaling to transmit data if the network-side device turns off a function of dynamic bundling size adjustment.