Abstract: Systems and methods for 5G based landing, navigation, and position augmentation are described herein. In one example, a method includes receiving 5G signals from a plurality of 5G base station and processing the received 5G signals from a plurality of 5G base stations to obtain 5G position information. The method further includes receiving position correction information for the 5G position information from a ground reference station. The method further includes determining a position of a vehicle based on the 5G position information and the position correction information. The method further includes providing navigation guidance to the vehicle based on the determined position of the vehicle.

Abstract: Systems and methods are provided for bringing a volume of a consistency group (CG) into an in-synchronization (InSync) state while other volumes of the CG remain in the InSync state. According to an example, in order to support recovery from disruptive events in a manner that ensures a zero recovery point objective (RPO) guarantee and insulates an application making use of the CG from adverse impacts, responsive to a triggering event, a Fast Resync process may first be attempted to promptly bring an affected volume back into an in-synchronization (InSync) state from an out of synchronization (OOS) state while allowing other members of the CG to remain in the InSync state. Should the Fast resync process be unsuccessful in bringing the volume back into the InSync state within a predetermined or configurable time threshold, then a second type of resynchronization process may be employed at the CG level.

Abstract: Executing workflows with different computations on different types of remote computing devices is difficult and time consuming, sometimes taking days. A system of computing devices is provided to generate a workflow of computing tasks that specify different types of computing hardware resources, including quantum computing and classical computing resources, and to generate a schedule of jobs to be executed that is consistent with the workflow. The schedule of jobs is automatically executed, as computational tasks are dispatched to different computing resource providers at different times. Two or more computational tasks can be dispatched in parallel and at the same time, according to parallel tasks in the workflow.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a UE capability reporting message including information associated with identifying a set of UE conditions associated with a first set of functionalities, wherein the first set of functionalities corresponds to a set of model features. The UE may receive, based at least in part on transmitting the UE capability reporting message, control signaling identifying a second set of functionalities that is a subset of the first set of functionalities. Numerous other aspects are described.

Abstract: Provided herein are systems and methods for sanitizing logged data packets in a distributed system prior to storing them in a remote or third-party data server. Interactions with an application are monitored and values in a data packet are extracted from the interaction. The values are classified based on a classification configuration and respective labels of the values. The values are then sanitized based on the classification to prevent exposure of secure or private data. The sanitized data packets are then logged into the remote data server. The logged data can be used to help resolve events occurring in the application. The classification configuration can be iteratively updated and the interactions repeated to capture data that was previously sanitized to aid in resolution of events. The logged data can also be used in research or analysis, such as for identifying potential improvements to the application.

Abstract: Methods for reducing audio interference to a call on a computing device may include, in response to the computing device entering a high priority call state, transmitting to one or more other computing devices via a distributed context network a message configured to cause the one or more other computing devices to reduce audio output volume. The one or more other computing devices may receiving via the distributed context network a message indicating that the computing device has entered a high priority call state, and may reduce audio output volume in response to receiving the message.

Abstract: A mechanical assembly includes a power semiconductor device located inside of a mechanical enclosure, and a magnetic component located outside of the mechanical enclosure and operably connected to the power semiconductor device. The power semiconductor device and the magnetic component are cooled via a common air pathway outside of the mechanical enclosure. A power converter includes a powered semiconductor device located inside of a mechanical enclosure, the power semiconductor device configured to convert DC input power to AC output power, and an inductor located outside of the mechanical enclosure and operably connected to the power semiconductor device. The power semiconductor device and the magnetic component are cooled via a common air pathway outside of the mechanical enclosure.

Abstract: Described herein are embodiments for assisting in creating a listing for a For Sale Object (FSO). An item name suggestion module receives seller input and provides suggested entries for the listing to help the seller describe the FSO more accurately and consistently. A hierarchical database provides a structure for ordering suggested entries, with the structure ordered based on scores. The scores are based on rules that relate item characteristics and take into account rankings of those item characteristics with respect to one another. Metadata tags that are used by the online merchandise platforms can be identified and included in the listing, even if a seller is not familiar with the metadata tags. The hierarchical database also connects or associates item characteristics in groups that describe specific FSO. The connections can help to optimize search results as the listing is completed by the seller.

Abstract: A battery management system (BMS) is presented herein. The BMS has a master node. The master node includes a master transceiver and a controller communicably coupled to the master transceiver. The BMS has a plurality (n) of slave nodes. Each slave node of the n slave nodes includes a slave transceiver for communicably coupling to at least one battery monitor. The controller of the BMS is configured to direct the master transceiver to establish a communications network with the n slave nodes. To establish the communications network, the controller is also configured to respectively assign each of the n slave nodes to non-overlapping time slots of a superframe. The controller is further configured to direct the master transceiver to consecutively receive uplink (UL) transmissions from the n slave nodes in the non-overlapping time slots of the superframe.

Abstract: Described herein are systems and methods for analyzing biological samples. Including a method for processing an analyte, comprising providing a fluidic device comprising the analyte and one or more polymer precursors; selecting a discrete area within said fluidic device; providing an energy source in optical communication with fluidic device; and selectively supplying a unit of energy generated from the energy source to the fluidic device to generate a polymer matrix within the fluidic device, wherein the polymer matrix is within the discrete area or adjacent to the discrete area.

Abstract: A hydrogen-diesel dual-fuel engine that includes an engine block, where the engine block includes a cylinder outfitted with at least two hydrogen fuel injectors and a piston. The engine further includes an air-handling system that includes an intake manifold, an intake pipe, an exhaust pipe, a variable geometry turbocharger, and an exhaust gas recirculation system configured to recirculate exhaust gases from the exhaust pipe to the intake manifold. The engine further includes a two-step camshaft, where the two-step camshaft is configured with the air-handling system for exhaust re-breathing and late intake valve closing, and a port fuel injector system that provides hydrogen gas to the at least two hydrogen fuel injectors. The engine further includes a diesel injector, a common-rail fuel injection system, a plurality of sensors, and a controller configured to receive engine data from the plurality of sensors and to control operation of the hydrogen-diesel dual-fuel engine.

Abstract: In various examples, a neural network may be trained for use in vehicle re-identification tasks—e.g., matching appearances and classifications of vehicles across frames—in a camera network. The neural network may be trained to learn an embedding space such that embeddings corresponding to vehicles of the same identify are projected closer to one another within the embedding space, as compared to vehicles representing different identities. To accurately and efficiently learn the embedding space, the neural network may be trained using a contrastive loss function or a triplet loss function. In addition, to further improve accuracy and efficiency, a sampling technique—referred to herein as batch sample—may be used to identify embeddings, during training, that are most meaningful for updating parameters of the neural network.

Abstract: Compounds and methods for their preparation and use as therapeutic or prophylactic agents, for example for treatment of cancer, bacterial or viral diseases by targeting Ectonucleotide Pyrophosphatase/Phosphodiesterase-1 (ENPP1).

Abstract: Embodiments disclosed are directed to a computing system that performs steps for entity integration. The computing system receives, from a user device, an electronic request to associate a first online account of a user associated with a first entity with a second online account of the user associated with a second entity. The computing system authenticates the user device to verify that an identity of the user is authentic. The computing system determines whether the second online account exists and, if so, identifies a match between a first user property of the first online account and a second user property of the second online account. Based on the identified match, the computing system links the first online account with the second online account and updates, based on a first online account property of the first online account, a second online account property of the second online account.

Abstract: Methods and systems for resolving one or more faults in a security camera include installing an Auto-Executable Function (AEF) on the security camera. The AEF causes the controller to backup the set of user defined configuration settings to a memory of the security camera, reset the security camera back to the set of default configuration settings, reboot the security camera, and restore the set of user defined configuration settings. In many cases, this will resolve many unresolved faults within video camera and place the video camera back online. When this does not resolve a fault, the AEF creates a diagnostic report, wirelessly transmits the diagnostic report to a mobile device of a user, the mobile device identifies a software patch for resolving the fault, and the software patch is uploaded and installed on the security camera.

Abstract: A mobile edge computing (MEC) service area can utilize packet header source and/or destination internet protocol data and session initiation protocol source and/or destination internet protocol data to map internet protocol addresses associated with mobile devices. The MEC can comprise a translation component that translates service provider internet protocol addresses such that they are perceived as enterprise premises internet protocol addresses. Conversely, the translation component can translate enterprise premises internet protocol addresses such that they are perceived as service provider internet protocol addresses.

Abstract: An apparatus comprises a processing device configured to identify, for a modular server, blade servers installed in a first subset of slots of a chassis of the modular server and storage servers installed in a second subset of the slots. The processing device is also configured to determine, for the modular server, assignment of storage devices of the storage servers installed in the second subset of the slots to respective ones of the first subset of the slots in which the blade servers are installed. The processing device is further configured to detect movement of a given blade server from a first to a second slot in the first subset of the slots, and to dynamically reassign at least a subset of the storage devices from the first to the second slot responsive to validating a configuration of the given blade server moved from the first to the second slot.

Abstract: Techniques are disclosed for systems including techniques for multi-feature balancing for natural langue processors. In an embodiment, a method includes receiving a natural language query to be processed by a machine learning model, the machine learning model utilizing a dataset of natural language phrases for processing natural language queries, determining, based on the machine learning model and the natural language query, a feature dropout value, generating, and based on the natural language query, one or more contextual features and one or more expressional features that may be input to the machine learning model, modifying at least one or the one or more contextual features and the one or more expressional features based on the feature dropout value to generate a set of input features for the machine learning model, and processing the set of input features to cause generating an output dataset for corresponding to the natural language query.

Abstract: Techniques are provided for metadata management for enabling automated switchover. An initial quorum vote may be performed before a node executes an operation associated with metadata comprising operational information and switchover information. After the initial quorum vote is performed, the node executes the operation upon one or more mailbox storage devices. Once the operation has executed, a final quorum vote is performed. The final quorum vote and the initial quorum vote are compared to determine whether the operation is to be designated as successful or failed, and whether any additional actions are to be performed.

Abstract: Systems, computer program products, and methods are described herein for intelligent exception handling within a distributed network environment. The present disclosure is configured to receive an incidence of a first exception associated with a network interaction; extract information associated with the first exception; determine, via a machine learning (ML) subsystem, a first exception category associated with the first exception based on at least the information associated with the exception; retrieve, from a repository, a first set of actions associated with the first exception category, wherein the first set of actions are configured to resolve the first exception; and in response, execute the first set of actions.