Abstract: A composition contains quercetagetin and 6-hydroxykaempferol, and, optionally further includes patuletin. The composition has an excellent antioxidant effect, and can be used as an active additive in food, drugs, health care products, cosmetics, and feed. In addition, the composition can prompt animal growth, reduce ratio of feed to gain, and improve meat quality in the feed.

Abstract: The present disclosure provides for methods, apparatuses, and non-transitory computer-readable storage media for load balancing traffic scenarios by a network device. In an embodiment, a method includes training a plurality of learning agents to load balance a respective plurality of traffic scenarios to obtain a plurality of control policies. The method further includes performing at least one clustering iteration. Each clustering iteration includes selecting a pair of control policies and merging the pair of control policies into a clustered control policy that replaces the pair of control policies. The method further includes determining to stop the performing of the at least one clustering iteration when a quantity of control policies remaining in the plurality of control policies meets a predetermined value. The method further includes deploying to each base station of a plurality of base stations a corresponding control policy from the plurality of control policies.

Abstract: Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a first mode for automatically delivering fluid to a patient based on a first target glucose value. Additionally, the techniques may involve obtaining a second target glucose value. The second target glucose value may be a temporary target glucose value to be used for a specified period of time to regulate fluid delivery to the patient, and the second target glucose value may be greater than the first target glucose value. The techniques may further involve causing, based on obtaining the second target glucose value, operation of the fluid delivery device in a second mode for automatically delivering fluid to the patient. The second mode may be for reduced fluid delivery during the specified period of time.

Abstract: A server may receive a first traffic data and a second traffic data from a first base station and a second base station; obtain a first augmented traffic data for the first base station, based on the first traffic data and a subset data of the second traffic data; obtain a second augmented traffic data for the second base station, based on the second traffic data and a subset data of the first traffic data; obtain a first artificial intelligence (AI) model via imitation learning based on the first augmented traffic data; obtain a second AI model imitation learning based on the second augmented traffic data; obtain a generalized AI model via knowledge distillation from the first AI model and the second AI model; and predict a future traffic load of each of the first base station and the second base station based on the generalized AI model.

Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.

Abstract: A process of fulfilling a database deployment request for a data platform. A compute service manager of the data platform scans one or more accounts of a consumer region of the data platform for a pending listing fulfillment request, where the pending listing request includes a request for deployment of a consumer database and an associated share of grant metadata of the consumer database within the consumer region. When the compute service manager determines that an account of the one or more accounts has a pending listing fulfillment request, the compute service manager determines a listing for the pending listing fulfillment request based on listing data of the account. The compute service manager determines that no other fulfillment task is scheduled for the pending listing fulfillment request and schedules a background fulfillment task to perform the fulfillment process for the pending listing fulfillment request.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves predicting, by a control system associated with the infusion device, a future occurrence of an event based at least in part on historical data associated with the patient, and prior to the future occurrence of the event, automatically adjusting a control parameter for operating the infusion device based at least in part on the event and automatically operating an actuation arrangement of the infusion device to deliver the fluid to the patient based at least in part on a current measurement of the physiological condition and the adjusted control parameter.

Abstract: Disclosed are an indoor navigating system and an indoor navigating method based on vision. The indoor navigating method comprises capturing a material channel image; segmenting the material channel image to obtain a material pushing machine and a walkable area from the material channel image, and determining boundaries of the material pushing machine and boundaries of the walkable area; obtaining a distance between a left boundary of the material pushing machine and a left rail of a material channel and/or a distance between a right boundary of the material pushing machine and a right rail of the material channel; obtaining a lateral deviation distance of the material pushing machine, and determining a course angle; and adjust an actual moving direction of the material pushing machine according to the course angle.

Abstract: Parameters for load balancing in a cellular communication system are determined. The cellular communication system performance is measured by key performance indicators (KPIs). A policy (artificial intelligence model) is obtained to optimize the cellular communication system performance with respect to the KPIs. The policy for determining parameters used for load balancing the cellular communication system is obtained using meta multi-objective reinforcement learning (meta MORL). A distilled policy may be obtained to initialize the meta MORL determination. Various loss functions may be used to obtain the distilled policy.

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: 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: 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: 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: 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: 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