Abstract: Some examples relate generally to computer architecture software for data classification and information security and, in some more particular aspects, to verifying audit events in a file system.

Abstract: Processing historical browsing content with an electronic device which can generate a first user operation page of a target application; in response to a historical reference operation triggered via the first user operation page, generate a browsing record page including a historical content area, one historical content area corresponding to one content type, and each historical content area including first content description information; and in response to a presenting operation for first content description information selected from the historical content area, generate target historical browsing content corresponding to the selected first content description information, and therefore the first content description information of the historical browsing content under each content type may be provided in a centralized mode through a browsing record page, so that content desired to be browsed again may be found in a short time, improving the search efficiency for the historical browsing content.

Abstract: Provided are a voice packet recommendation method and apparatus, a device and a storage medium. The method includes selecting at least one target display video for a user from among candidate display videos associated with voice packets and using voice packets to which the at least one target display video belongs as candidate voice packets; selecting a target voice packet for the user from among the candidate voice packets according to attribute information of the candidate voice packets and attribute information of the at least one target display video; and recommending the target voice packet to the user.

Abstract: Systems and methods for facilitating an analysis of software vulnerabilities are described. The system receives a first request to present software vulnerabilities of a virtual machine on a production machine. The system receives a first request to present software vulnerabilities of a virtual machine on a production machine. The first request includes a first selection including a virtual machine identifier identifying the virtual machine on the production machine. The software vulnerabilities include a first software vulnerability. The system presents a first electronic user interface including software vulnerabilities for the virtual machine. The system receives a second request including a second selection identifying a first software vulnerability. The system presents a second electronic user interface including presenting recovery point identifiers corresponding to snapshot images stored on a database.

Abstract: Some examples relate generally to managing and storing data, and more specifically to the real-time detection of ransomware, system (or insider) threats, or the misappropriation of credentials by using file system audit events.

Abstract: Some examples relate generally to managing and storing data, and more specifically to the real-time detection of ransomware, system (or insider) threats, or the misappropriation of credentials by using file system audit events.

Abstract: The present disclosure discloses a broadcast style determination method and apparatus, a device and a computer storage medium, and relates to voice and deep learning technologies in the field of artificial intelligence technologies. A specific implementation solution involves: performing named entity recognition on broadcast text to obtain at least one named entity; acquiring domain knowledge corresponding to the at least one named entity; and performing sentiment analysis by using the broadcast text and the domain knowledge, to determine a broadcast style of the broadcast text.

Abstract: Systems and methods to identify a software vulnerability are described. The system receives a message identifying a software vulnerability. The system identifies snapshot images taken of a production machine and stored in a database. The snapshot images include a snapshot image including a virtual machine. The snapshot images are identified being based on the message. The system identifies whether the snapshot images include the software vulnerability. The system registers the software vulnerability in association with a snapshot image in the database responsive to the identification of the snapshot image of the virtual machine including the software vulnerability.

Abstract: A method includes forming a seed layer over a first conductive feature of a wafer, forming a patterned plating mask on the seed layer, and plating a second conductive feature in an opening in the patterned plating mask. The plating includes performing a plurality of plating cycles, with each of the plurality of plating cycles including a first plating process performed using a first plating current density, and a second plating process performed using a second plating current density lower than the first plating current density. The patterned plating mask is then removed, and the seed layer is etched.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining one or more measurement values of a physiological condition in the body of a user during an initial monitoring period and determining a fasting reference value for a metric based on the one or more measurement values. After the initial monitoring period, the method continues by obtaining an updated measurement value during a fasting period, determining a current value for the metric based at least in part on the updated measurement value, and generating a notification in response to a deviation between the current value and the fasting reference value exceeding a threshold indicative of insertion site loss or other loss of effectiveness.

Abstract: A method of forecasting a future load may include: obtaining source data sets and a target data set that have been collected from a plurality of source base stations and a target base station, respectively; among a plurality of source machine learning models, selecting at least one machine learn source model that has a traffic load prediction performance higher than that of a target machine learning model through a negative transfer analysis; obtaining model weights to be applied to the target machine learning model and the selected at least one source machine learning model via an attention neural network that is jointly trained with the target machine learning model and the selected source machine learning models; obtaining a load forecasting model for the target base station by combining the target machine learning model and the selected at least one source machine learning model according to the model weights; and predicting a future communication traffic load of the target base station based on the load

Abstract: A system and a method for time series forecasting. The method includes: providing input feature vectors corresponding to a plurality of future time steps; performing bi-directional long-short term memory network (BiLSTM) on the input feature vectors to obtain hidden outputs corresponding to the plurality of future time steps; for each future time step: performing temporal convolution on the hidden outputs using a plurality of temporal scales to obtain context features at the plurality of temporal scales, and summating the context features at the plurality of temporal scales using a plurality of weights to obtain multi-scale context features; and converting the multi-scale context features to obtain the time series forecasting corresponding to the future time steps.

Abstract: Embodiments of the disclosure are drawn to apparatuses, systems, methods for performing operations associated with machine learning. Machine learning operations may include processing a data set, training a machine learning algorithm, and applying a trained algorithm to a data set. Some of the machine learning operations, such as pattern matching operations, may be performed within a memory device.

Abstract: Several policies are trained for determining communication parameters used by mobile devices in selecting a cell of a first communication network to operate on. The several policies form a policy bank. By adjusting the communication parameters, load balancing among cells of the first communication network is achieved. A policy selector is trained so that a target communication network, different than the first communication network, can be load balanced. The policy selector selects a policy from the policy bank for the target communication network. The target communication network applies the policy and the load is balanced on the target communication network. Improved load balancing leads to a reduction of the number of base stations needed in the target communication network.

Abstract: Disclosed are a material pushing apparatus and a charging method thereof, and a material pushing machine and a material pushing method thereof. The material pushing apparatus comprises a charger (200) and a material pushing machine (100), and when the material pushing machine moves to the position where the charger is located, the charger can automatically supplement electric energy to the material pushing machine, such that the automation level of the material pushing apparatus is improved.

Abstract: A torque control method and apparatus for a vehicle, including: determining whether a torque change request is received, during a process of performing an energy recovery function; determining whether an antilock brake system is in an active state, in case that the torque change request is not received; if so, decreasing an energy recovery torque with a first torque change gradient; determining whether the antilock brake system is transited from the activated state to a non-activated state, during a process of decreasing the energy recovery torque; if so, determining whether it is satisfied that a first current driver demand torque is greater than a first preset value and the antilock brake system is in the non-activated state for longer than a first preset time; and if satisfied, recovering the energy recovery torque to the first current driver demand torque with a second torque change gradient.

Abstract: A system includes a medical device that regulates delivery of medication to a user, a sleep detection system configured to generate user status data that indicates sleeping status of the user, and configured to communicate the user status data, and at least one controller that controls alerts associated with operation of the medical device. The at least one controller receives the user status data generated by the sleep detection system, determines, from the user status data, that the user is sleeping, activates a sleep mode alerting scheme of the medical device when it determines that the user is sleeping, and, after activating the sleep mode alerting scheme, controls generation and outputting of alerts associated with operation of the medical device in accordance with the sleep mode alerting scheme.

Abstract: Provided are a method for processing model parameters, and an apparatus. The method comprises: a model parameter set to be sharded is obtained, wherein the model parameter set comprises a multi-dimensional array corresponding to a feature embedding; attribute information for a storage system used for storing the model parameter set to be sharded is obtained, wherein the storage system used for storing the model parameter set to be sharded differs from a system on which a model corresponding to the model parameter set to be sharded is located when operating; the model parameter set to be sharded is stored in the storage system according to the attribute information.

Abstract: A power tool includes a chuck device for clamping a working component. The chuck device includes a locking mechanism, an operation member, a connection shaft, a driving assembly, and a stopper member. The locking mechanism implements a locking function. The operation member is operable to allow the locking mechanism to leave a locking position and is detachably connected to the connection shaft. The driving assembly drives the locking mechanism to be in the locking position. The stopper member is configured to limit the driving assembly.

Abstract: Methods and systems for reducing the amount of time to restore a database or other application by dynamically generating and storing synthetic snapshots are described. When backing up a database, an integrated data management and storage system may acquire snapshots of the database at a snapshot frequency and acquire database transaction logs at a frequency that is greater than the snapshot frequency. In response to detecting that the database is unable to provide a database snapshot, the integrated data management and storage system may generate a synthetic snapshot of the database by instantiating a compatible version of the database locally, acquiring a previously stored snapshot of the database, applying data changes from one or more database transaction logs to the previously stored snapshot to generate the synthetic snapshot, and storing the synthetic snapshot of the database within the integrated data management and storage system.