Abstract: Methods, apparatus, and processor-readable storage media for automatically predicting fail-over of message-oriented middleware systems are provided herein. An example computer-implemented method includes obtaining one or more message-oriented middleware parameter values for at least a portion of multiple message-oriented middleware systems; detecting one or more fail-over-related anomalies associated with at least one of the multiple message-oriented middleware systems by processing at least a portion of the one or more message-oriented middleware parameter values using one or more machine learning techniques; and automatically migrating, based at least in part on the one or more detected fail-over-related anomalies, at least a portion of data associated with the at least one message-oriented middleware system associated with the one or more detected fail-over-related anomalies to at least one of the other of the multiple message-oriented middleware systems.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; receiving, via a graphical user interface (GUI) of a user device, a partial search query from a user; analyzing the partial search query based on the historical in-session user activity information using one or more query suggestion systems to determine a respective score for respective suggested search queries from each of the one or more query suggestion systems; determining a respective absolute position metric for the respective suggested search queries from each of the one or more query suggestion systems; determining a respective efficiency metric for each of the one or more query suggestion systems based on the respective absolute position metric; analyzing the respective efficiency metric for each of the one or more query suggestion systems to dete

Abstract: Introduced here are computer programs and associated computer-implemented techniques for manipulating noisy audio signals to produce clean audio signals that are sufficiently high quality so as to be largely, if not entirely, indistinguishable from “rich” recordings generated by recording studios. When a noisy audio signal is obtained by a media production platform, the noisy audio signal can be manipulated to sound as if recording occurred with sophisticated equipment in a soundproof environment. Manipulation can be performed by a model that, when applied to the noisy audio signal, can manipulate its characteristics so as to emulate the characteristics of clean audio signals that are learned through training.

Abstract: Techniques are described for monitoring application performance in a computer network. For example, a network management system (NMS) includes a memory storing path data received from a plurality of network devices, the path data reported by each network device of the plurality of network devices for one or more logical paths of a physical interface from the given network device over a wide area network (WAN). Additionally, the NMS may include processing circuitry in communication with the memory and configured to: determine, based on the path data, one or more application health assessments for one or more applications, wherein the one or more application health assessments are associated with one or more application time periods for a site, and in response to determining at least one failure state, output a notification including identification of a root cause of the at least one failure state.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Provided is a method performed by a user equipment (UE) in a wireless communication network, the method comprising: determining that a multicast discontinuous reception (DRX) pertaining to at least one multicast service is configured in a cell; determining whether a medium access control (MAC) entity of the UE is in an active time of the configured multicast DRX; and transmitting at least one of a channel state information (CSI), a semi-persistent CSI, a periodic sounding reference signal (SRS), and a semi-persistent SRS to a base station corresponding to the cell, in case that the MAC entity is in the active time of the configured multicast DRX.

Abstract: A continuous casting and rolling line for casting, rolling, and otherwise preparing metal strip can produce distributable metal strip without requiring cold rolling or the use of a solution heat treatment line. A metal strip can be continuously cast from a continuous casting device and coiled into a metal coil, optionally after being subjected to post-casting quenching. This intermediate coil can be stored until ready for hot rolling. The as-cast metal strip can undergo reheating prior to hot rolling, either during coil storage or immediately prior to hot rolling. The heated metal strip can be cooled to a rolling temperature and hot rolled through one or more roll stands. The rolled metal strip can optionally be reheated and quenched prior to coiling for delivery. This final coiled metal strip can be of the desired gauge and have the desired physical characteristics for distribution to a manufacturing facility.

Abstract: Embodiments of the runtime risk assessment process monitors deliberate or potentially data destructive operations against a filter of dynamic risk assessment. A filter process recognizes the following conditions as highly indicative of increased risk factors: (1) recent creation of the security officer role, (2) changing of the system time or clock, and (3) disabling of system alerts. If all three of these events occur, the system recognizes this as indicative of a high probability of data attack. The runtime risk assessment process imposes a delay on the execution of each of these commands to provide time to alert the user and an opportunity to re-enter the commands at the end of the delay period. Thus, a potentially dangerous sequence of commands will not occur automatically or immediately, but will instead be delayed to provide an extra validation check or user action.

Abstract: Methods, apparatus, and processor-readable storage media for automatically performing varied security scans on distributed files using machine learning techniques are provided herein. An example computer-implemented method includes obtaining at least one input file from one of multiple source channels; identifying a data security scan operation, from a set of multiple data security scan operations, for the at least one input file by processing historical data attributed to the at least one input file using machine learning techniques; executing the identified data security scan operation on the at least one input file; generating a hash of the at least one input file and information pertaining to results of the executed data security scan operation; caching the generated hash in at least one cache; and performing automated actions based on the caching of the generated hash in the at least one cache.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes receiving information regarding a customer to onboard to a managed service and determining one or more relevant features from the information regarding the customer, the one or more relevant features correlated with historical onboarding times. The method also includes determining, using a machine learning (ML) model, an expected time to onboard the customer to the managed service based on the one or more relevant features.

Abstract: A device includes an input converter, an output converter, and a controller. The input converter is electrically coupled to an electrical meter and an energy production array. The output converter is electrically coupled to the energy production array and a load. The controller is communicatively coupled to the input converter, the output converter, the energy production array, and the load. The input converter and the output converter are positioned between the electrical meter and the load.

Abstract: A data processing system includes a storage medium, and a controller including a data processing block, configured to receive data from a host, transmit the received data to the storage medium, read data from the storage medium in response to a read request from the host, and decode the read data by the data processing block according to multiple decoding modes. The data processing block includes a first decoder and a second decoder, and is configured to manage the first decoder and the second decoder to run the decoding for the read data, and activate a fast decoding having shorter latency than a normal decoding after a fast decoding condition is satisfied.

Abstract: A reusable and electrochemically active device 100 is provided comprising, detachable electrode arrangement including working electrodes 101a, 101b, 101c, 101d and a counter electrode 102 that are functionalised with selected electrochemically active receptor(s) that can interact with at least a target bioanalyte. Fluid transportation channels 108a, 108b, 108c, 108d are formed, to receive biological samples with the at least target bioanalyte and for further transportation to the selected electrode arrangement, preferably in a sequential manner, for measuring the concentrations of the target bioanalytes. Used working electrodes 101a, 101b, 101c, 101d and a partial portion of the counter electrode 102 are detachable from the device 100.

Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: A health status of a first user is monitored from a wearable device. The health status is based on a set of one or more health metrics captured by the wearable device. The health status is measured while the wearable device is worn by the first user. It is determined that the first user is participating in a travel event that is related to a travel vehicle. A potential health concern of the first user is detected based on the health status. An intervention action related to the health status is performed, in response to the potential health concern. The intervention action is performed based on the travel event.

Abstract: The present invention discloses a method for the separation of radionuclides from an aqueous radioactive waste solution, the method comprising: receiving of an aqueous radioactive waste solution, adding at least one zirconium salt to the aqueous radioactive waste solution, changing the pH of the radioactive waste solution to obtain a precipitate P, and separating the precipitate P from the radioactive waste solution. The present invention also discloses the use of zirconium salts, preferably zirconium oxychloride, zirconium nitrate or a zirconium oxynitrate or any mixture thereof, for the treatment of aqueous radioactive waste solution, preferably acidic or alkaline intermediate or low level radioactive waste solution, preferably an acidic intermediate and/or low level radioactive waste solution.

Abstract: A method for use in a computing device, comprising: receiving an invite for a communications session; obtaining context information associated with the invite; generating a signature for the invite based on the context information; generating an attendance score for the invite by evaluating a neural network based on the signature for the invite, the attendance score being an estimate of a degree of importance of attending the communications session; generating a response to the invite based on the attendance score, the response indicating whether a user of the computing device accepts or rejects the invite; and transmitting the response to a sender of the invite.

Abstract: A system and method for diagnosing connection and communication in an industrial machine. The electronic processing system includes a CAN bus, an ethernet network, and a plurality of devices connected to the CAN bus and the ethernet network. The plurality of devices includes at least one controller programmed to run one or more software applications. A connectivity check is performed to obtain CAN connection status data and ethernet connection status data for the plurality of devices. The CAN connection status data and the ethernet connection status data is analyzed to determine a likely cause of a device connection issue. A solution to the device connection issue is output to a user based on the analyzed data.

Abstract: Provided herein, in certain aspects, are antibodies that bind to IL-1? and compositions comprising the antibodies. Methods of making and using the antibodies are also provided.

Abstract: Introduced here are computer programs and associated computer-implemented techniques for manipulating noisy audio signals to produce clean audio signals that are sufficiently high quality so as to be largely, if not entirely, indistinguishable from “rich” recordings generated by recording studios. When a noisy audio signal is obtained by a media production platform, the noisy audio signal can be manipulated to sound as if recording occurred with sophisticated equipment in a soundproof environment. Manipulation can be performed by a model that, when applied to the noisy audio signal, can manipulate its characteristics so as to emulate the characteristics of clean audio signals that are learned through training.

Abstract: Aero-acoustically damped bleed valves are disclosed. An example variable bleed valve apparatus comprises a variable bleed valve door to actuate the variable bleed valve apparatus, and a variable bleed valve port including an upstream edge and a downstream edge, the VBV port to define a secondary flowpath, the VBV door to cover the VBV port in a closed position, and a vortex device at the upstream edge of the variable bleed valve port, the vortex device including a vorticity generating feature along the upstream edge of the variable bleed valve port.