Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.

Abstract: A foldable electronic device includes a first main body, a second main body, a rotating shaft assembly, a flexible screen, and a protective bracket. The first main body and the second main body are coupled through the rotating shaft assembly, the flexible screen is disposed on the first main body and the second main body, and the first main body and the second main body rotate relative to the rotating shaft assembly towards a side having the flexible screen. The flexible screen includes a bending region, and a first non-bending region and a second non-bending region that are respectively located on two sides of the bending region. The protection bracket includes a flexible part, a first metal part, and a second metal part. The flexible part is disposed on the flexible screen and includes a main body segment, a first connection segment, and a second connection segment.

Abstract: A foldable display terminal, comprising a rotating shaft assembly, a display, a first body, a second body, and an edge protection structure; the edge protection structure comprises a rigid member, a connector, and a soft rubber member; the soft rubber member comprises a protection part, two extension parts and two fastening parts, each extension part and each fastening part are respectively located at two ends of the protection part, a bending angle is formed between each extension part and each fastening part; the two extension parts are located on part of the edge of the display, the two fastening parts are limited in gaps between the rotating shaft assembly and the two borders.

Abstract: Edge device task management is provided. It is determined whether a subtask cancel and migrate plan exists when a request to run a higher priority subtask of a second plurality of subtasks corresponding to a second task is received while a first task comprised of a first plurality of subtasks is running on a first cluster of edge devices. In response to determining that the subtask cancel and migrate plan does exist, a lower priority subtask of the first plurality of subtasks is canceled from a designated edge device of the first cluster of edge devices based on the subtask cancel and migrate plan. The lower priority subtask is migrated to another edge device for running based on the subtask cancel and migrate plan. The higher priority subtask of the second plurality of subtasks is sent to the designated edge device of the first cluster of edge devices for running.

Abstract: Disclosed is a blade replacement apparatus of an electric instrument, which is used to replace blades connected by a bolt, the bolt extending along a first axis, the blade replacement apparatus comprising a nut that fits the bolt to fix the blade, a nut loosening/tightening member, a locking member, and an operating member, one of the nut loosening/tightening member and the operating member having a first matching portion, the locking member having a second matching portion, wherein the operating member is movable between an operating position and a non-operating position, the operating member allowing a user to perform an operation by hand without using any instruments; when the operating member is in the non-operating position, the first matching portion engages with the second matching portion, and the rotation of the nut loosening/tightening member around the first axis is obstructed by the locking member; when the operating member is in the operating position, the first matching portion is disengaged fro

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for processing a system latency. The method includes obtaining a group of records in a system for a group of data persistence operations of a particular type, and estimating a group of estimated latencies in the group of data persistence operations based on the group of records. Each record in the group of records includes a group of metrics for a group of states of the system within a predetermined period when each data persistence operation occurs. The method also includes determining corresponding contributions of each state in the group of states to latencies of the group of data persistence operations based on the group of records and the group of estimated latencies, and determining one or more states from the group of states based on the corresponding contributions.

Abstract: The present disclosure describes techniques for voice-controlled content creation. The techniques comprise monitoring voice commands spoken by a creator. Recording of a content may be initiated in response to recognizing a first voice command spoken by the creator. Recording of the content may be stopped in response to recognizing a second voice command spoken by the creator. A timestamp associated with the second voice command may be created. A segment may be automatically deleted from the content based on the timestamp. The segment may comprise a recording of the second voice command.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for latency processing. The method includes: in response to that a data persistence operation occurs in a system, acquiring a record for the operation, wherein the record includes an actual latency of the operation and a group of measurements of a group of states of the system within a predetermined time period of the occurrence of the operation. The method further includes: in response to that the actual latency of the operation is greater than a first threshold, generating an estimated latency of the operation by using a trained predictor on the basis of the group of measurements. The method further includes: determining a difference between the actual latency and the estimated latency, and in response to that the difference is less than a second threshold, identifying one or more states from the group of states on the basis of the record and the estimated latency.

Abstract: This application provides a method for scheduling a frequency-domain resource in OFDMA, a STA, an AP, and a communications system, and relates to the field of communications technologies. In a Wi-Fi 6 OFDMA mode, because a bandwidth allocated to a user may be interfered with, the following is proposed in this application: A STA device reports STA-side frequency-domain interference information to an AP device, where the frequency-domain interference information indicates a STA-side frequency-domain interference subband, so that the AP device avoids, based on the STA-side frequency-domain interference information, the frequency-domain interference subband when allocating an uplink frequency-domain resource to the STA device, selects a proper RU resource, and allocates the proper RU resource to the STA device for data transmission.

Abstract: Techniques for authenticating and enforcing differentiated policies for a virtual machine (VM) executing in bridge mode on a wireless host device in a media access control (MAC)-based authentication network are described. In an example method a wireless host device is authorized to join a fabric enabled wireless network. A VM executes in bridge mode on the wireless host device. At the fabric edge, a source MAC address of the VM is determined. A session is created between the VM and an authentication server. The VM is authenticated. A policy for the VM is determined. A source internet protocol (IP) address is assigned to the VM to create a MAC-IP binding. A data-plane device in the fabric enabled wireless network is programmed to apply the policy to traffic communicated with the VM. Finally, the data-plane device applies the policy for the VM based at least in part on the MAC-IP binding.

Abstract: Provided are a networking method, communication method, and communication system for a multi-mode communication device, a device, and a chip. The networking method includes: sending response information about available communication modes between a network access node and a to-be-connected node to the network access node, where the available communication modes are divided into a plurality of sets, and modes in each of the sets are incompatible with each other, and modes in different sets are compatible with each other; and locking an optimal mode, selected from each of the sets based on the response information, as handshake information between the two nodes when a preset negotiation result is met, such that the network access node reports corresponding routing information, and a root node updates networking routing information.

Abstract: Embodiments described herein relate to methods of recycling battery waste. In some aspects, a method can include applying a first heat treatment at a temperature of between about 100° C. and about 700° C. to the battery waste, the first heat treatment decomposing at least about 80 wt % of the binder, separating the electrode material from the current collector, and applying a second heat treatment at a temperature between about 400° C. and about 1,200° C. to the electrode material to produce a regenerated electrode material, the second heat treatment decomposing at least 90 wt % of binder remaining in the electrode material to produce a regenerated electrode material. In some embodiments, the method can include applying a surface treatment to the electrode material to remove surface coatings and/or surface impurities from the electrode material. In some embodiments, the surface treatment can include applying a solvent to the electrode material.

Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.

Abstract: Dynamically verifying ingress configuration changes is provided. A temporary ingress controller configuration is generated for an ingress configuration change set contained in an ingress configuration change set dispatcher queue of an ingress controller pod. The temporary ingress controller configuration corresponding to the ingress configuration change set is loaded into a temporary ingress controller located in a temporary ingress controller pod of the computer. A health check is performed on the temporary ingress controller pod running the temporary ingress controller with the temporary ingress controller configuration corresponding to the ingress configuration change set.

Abstract: Embodiments of the disclosed technologies receive a first-party trained model and a first-party data set from a first-party system into a protected environment, receive a first third-party data set into the protected environment, and, in a data clean room, joining the first-party data set and the first third-party data set to create a joint data set for the particular segment, tuning a first-party trained model with the joint data set to create a third-party tuned model, sending model parameter data learned in the data clean room as a result of the tuning to an aggregator node, receiving a globally tuned version of the first-party trained model from the aggregator node, applying the globally tuned version of the first-party trained model to a second third-party data set to produce a scored third-party data set, and providing the scored third-party data set to a content distribution service of the first-party system.

Abstract: Lead to recognition time delay data, leads and sales data, and lead distance data for leads arriving at a system within a time range can be used to determine a time variable close rate and a distance adjustment thereof which, in turn, can be used to generate a predicted close rate for each lead. Using the predicted close rate for each lead, an address drive distance for each lead, and dealer-level discount information, a logistic regression model can be trained to generate a score for each combination of a dealer, make, and zip code. Each score indicates a probability of closing a sale between a lead in the zip code and the dealer in the combination. Scores thus generated can be used by a computing facility in recommending dealers to a consumer in the zip code who has expressed an interest in purchasing a vehicle of the same make.

Abstract: A central node of the system is connected to a working node through a network device. The central node generates a plurality of tasks based on a query request input by a user. When allocating execution devices to the plurality of tasks, the central node configures execution devices of some tasks as the network device, configures execution devices of some tasks as the working node, and then sends configuration instructions to the configured network device and working node, to set, on the network device and the working node, tasks configured for the network device and working node. After configuration is completed, the network device executes the set tasks on the data that passes through the network device.

Abstract: An objective includes: an objective barrel; a plurality of lens sub-assemblies stacked in an optical axis direction of the objective in the objective barrel, each of the plurality of lens sub-assemblies including a lens and a lens frame holding the lens; and a screw member screwed into the objective barrel, the screw member pressing the plurality of lens sub-assemblies against the objective barrel along the optical axis direction of the objective. The screw member has three or more concave portions into which a jig is fitted when the screw member is screwed into the objective barrel.

Abstract: A method for identifying a forest fire special dangerous terrain includes: obtaining raw digital elevation model (DEM) data of a valley and inverse raw DEM data of a ridge in a target area; extracting an elevation difference and a first derivative of a contour line within a preset range of the target area according to the raw DEM data and/or the inverse raw DEM data; calculating a danger level value of the target area based on the elevation difference and the first derivative of the contour line, in which, when the danger level value is greater than a preset threshold, it is determined that the target area is a dangerous terrain of a valley between two mountains or a narrow ridge.

Abstract: Disclosed are a beacon timeslot allocation method, apparatus, and device. The method includes: determining, based on a type of a beacon frame sent by a node in a system on a highspeed radio frequency (HRF) link, a node sending a standard beacon frame as a first-type node, and a node sending a simplified beacon frame as a second-type node; and in a process of sending a beacon frame on the HRF link by one first-type node, scheduling at least one first-type node and/or second-type node that have/has not been scheduled to perform sending on a highspeed power line carrier (HPLC) link yet to send a beacon frame on the HPLC link, where the scheduled first-type node and/or second-type node do/does not include the one first-type node or a node on a path between the one first-type node and a central coordinator (CCO) in the system.