Abstract: A system can determine to perform a replication of data from first computing equipment to second computing equipment, wherein the data is stored within a path in a file system of the first computing equipment. The system can determine the path from a replication policy for the replication. The system can, while tree-walking the path, in response to determining that a first file is marked for priority replication, adding the first file to a priority queue, and in response to determining that a second file lacks a marking for priority replication, adding the second file to a normal queue. The system can, in response to determine that the priority queue contains files, replicating the files from the priority queue instead of replicating other files from the normal queue.

Abstract: Embodiments include a method for ground surface segmentation on sparse Light Detection And Ranging (LiDAR) point clouds comprising: reading a LiDAR point cloud from a LiDAR sensor, the LiDAR point cloud comprising data representing one or more objects in physical surroundings detected by the LiDAR sensor; voxelizing the LiDAR point cloud to produce a three-dimensional representation of each of the one or more objects; constructing a maximum height map from the three-dimensional representation of each of the one or more objects, the maximum height map comprising a two-dimensional mapping of spatial points representing each of the one or more objects; performing minimum filtering on the spatial points of the maximum height map; and classifying each spatial point as a ground point or a non-ground point based on the minimum filtering of each spatial point.

Abstract: A system can determine to perform a replication of data from first computing equipment to second computing equipment, the data being stored as part of a path in a file system. The system can determine that a change log of file operations on files in the path identifies a file operation on a file that is made by a user account that has priority for replications. The system can replicate the file. The system can, after processing the change log for file operations made by first user accounts that have priority for replications, replicating other files in the path associated with second user accounts that do not have priority for replications.

Abstract: A system can determine to perform a replication of data from first computing equipment to second computing equipment, wherein the data is stored within a path in a file system of the first computing equipment. The system can determine the path from a replication policy for the replication. The system can, while tree-walking the path, in response to determining that a first file is marked for priority replication, adding the first file to a priority queue, and in response to determining that a second file lacks a marking for priority replication, adding the second file to a normal queue. The system can, in response to determine that the priority queue contains files, replicating the files from the priority queue instead of replicating other files from the normal queue.

Abstract: A system can to perform a replication of data from first computing equipment to second computing equipment, the data being stored as part of a path in a file system. The system can, from a replication policy for the replication, a priority sub-path of the path. The system can add a first set of files to a transfer queue comprising tree-walking the priority sub-path. The system can, after adding the first set of files, adding a second set of files to the transfer queue comprising tree-walking a portion of the path that is different from the priority sub-path. The system can replicate files in the transfer queue from the first computing equipment to the second computing equipment.

Abstract: Techniques are provided for tracking a virus footprint in data copies. Data copies can be made in a variety of ways, like with snapshots, backups, replications, and simple copies. As copies of files that have not been scanned since they were last modified are made, these copies can be kept track of, and associated with the original file. When the original file is later scanned and found to be clean or infected, this information can be propagated through the copies.

Abstract: Methods, apparatus, and processor-readable storage media for a neural network-based message communication framework with summarization and on-demand audio output generation are provided herein.

Abstract: A panel assembly includes a panel member, a frame member, and at least one first bar member, and at least one second bar member. The at least one first bar member and the at least one second bar member divide the panel member into a plurality of first areas defining a first height and a first width. The panel assembly also includes a plurality of support arrangements for dividing each first area into a plurality of second areas. Each support arrangement includes a first support member defining a first length such that the first width defined by the first area is greater than the first length. Each support arrangement also includes a second support member defining a second length such that the first height defined by the first area is greater than the second length.

Abstract: Techniques for managing critical workloads in container-based computing environments are disclosed. In one example, a method determines a resource trigger threshold associated with executing at least one containerized workload associated with a first service having a first criticality level, the resource trigger threshold corresponding to a resource capacity allocated to execute the first service. The method determines when the resource capacity allocated to execute the first service reaches the resource trigger threshold, and then re-allocates resource capacity allocated to execute at least one containerized workload associated with a second service having a second criticality level to the first service when the resource trigger threshold is reached. For example, the first criticality level may be higher than the second criticality level.

Abstract: A method comprises receiving at least one natural language input, and determining an intent of the at least one natural language input. In the method, a virtual assistant of a plurality of virtual assistants is recommended to respond to the at least one natural language input based at least in part on the determined intent, and the at least one natural language input is transmitted to the recommended virtual assistant. The determining and recommending are performed using one or more machine learning models, and the plurality of virtual assistants respectively correspond to a plurality of different functions of an enterprise.

Abstract: A method comprises receiving a command inputted to a first device, analyzing the command and identifying a second device based at least in part on the analysis. In the method, the second device is authenticated and a connection is established between the first device and the second device over one or more networks. The command is for execution of a task on the second device.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that implement an off-screen indication of battery charge in mobile platforms. In an example, the apparatus includes a keyboard, an interface circuitry, and a processor circuitry. The example processor circuitry to instantiate remaining state of charge (RSOC) controller circuitry to detect a battery charge level display event on a mobile device, the mobile device in a pre-boot state. The example processor circuitry additionally to instantiate fuel gauge circuitry to determine a charge level of a battery of the mobile device and keyboard display circuitry to, after the battery charge level display event, cause a display of the charge level of the battery in the pre-boot state with ones of backlights of a second ones keys on the keyboard.

Abstract: A method comprises reading data from a source database, identifying one or more data types corresponding to the source database, identifying a destination database for the data, and identifying one or more data types corresponding to the destination database. In the method, a destination database model to use in connection with writing the data in the destination database is generated. The generation of the destination database model is based at least in part on the one or more data types corresponding to the destination database, and is performed using one or more machine learning algorithms.

Abstract: The instant disclosure is in the field of biosciences, more particularly towards molecular and industrial biotechnology. The present disclosure relates to recombinant methanotrophic bacteria capable of synthesizing indigo from methane, a method of developing said recombinant methanotrophic bacteria, and a method of indigo biosynthesis by the recombinant methanotrophic bacteria in presence of a methane source.

Abstract: Systems, methods, and computer-readable media for managing storing of data in a data storage system using a client tag. In some examples, a first portion of a data load as part of a transaction and a client identifier that uniquely identifies a client is received from the client at a data storage system. The transaction can be tagged with a client tag including the client identifier and the first portion of the data load can be stored in storage at the data storage system. A first log entry including the client tag is added to a data storage log in response to storing the first portion of the data load in the storage. The first log entry is then written from the data storage log to a persistent storage log in persistent memory which is used to track progress of storing the data load in the storage.

Abstract: Embodiments disclosed herein provide for methods and systems for providing an enterprise synthetic monitoring framework, wherein the enterprise synthetic monitoring framework is configured to provide exhaustive end-to-end monitoring for a variety of applications and workflows including those that are browser and non-browser based, those that are implemented on mobile devices, and those that are implemented utilizing native protocols.

Abstract: Techniques are provided for user-based data tiering. In an example, a computer maintains a first-in-first-out queue that logs a finite set of users that have most-recently modified a file. This queue can be maintained in an extended attribute of an inode that corresponds to a file. A computer can also maintain a policy that defines how to perform storage tiering on a file based on which users have accessed the file. When a tiering operation is performed, the files specified by a corresponding tiering policy can be evaluated for which users have recently accessed them. When a user specified by the tiering policy has recently modified a file, the file can be placed in tiering queue for tiering.

Abstract: D-serine is effective for inhibiting neuron loss due to an immune response by glial cells to a brain injury. An example of a method includes artificially administering a composition including D-serine to brain cells after an injury thereto, the composition including an amount of D-serine effective to inhibit death of neurons.

Abstract: An injector for a diesel exhaust fluid (DEF) delivery system includes a first conduit extending along a longitudinal direction; a second conduit extending along the longitudinal direction and disposed within the first conduit; a nozzle tip having a side wall and an end wall; and a shell surrounding the first conduit and being spaced apart from the first conduit along a radial direction. The side wall has a thickness extending along the radial direction from an external surface of the nozzle tip to an inner surface of the second conduit. The end wall defines an outlet flow passage therethrough, and the outlet flow passage is in fluid communication with the first conduit and the second conduit via a chamber defined by an internal surface of the nozzle tip.

Abstract: Systems and methods for generating simulated LiDAR data using RADAR and image data are provided. An algorithm is trained using deep-learning techniques such as loss functions to generate simulated LiDAR data using RADAR and image data. Once trained, the algorithm can be implemented in a system, such as a vehicle, equipped with RADAR and image sensors in order to generate simulated LiDAR data describing the system's environment. The simulated LiDAR data may be used by a vehicle control system to determine, generate, and implement modified driving operations.