Abstract: Embodiments of the present disclosure relate to the technical field of network communications, and provide a digital domain self-interference cancellation method, a device, and a storage medium. The method comprises: generating a scrambling signal on the basis of a first information source inputted by a baseband unit by means of a fronthaul interface, and sending the scrambling signal to at least one remote radio unit; receiving a second information source sent by the remote radio unit on the basis of the scrambling signal, and performing a correction operation on a preset reference cancellation signal on the basis of the second information source to obtain a target cancellation signal; and performing self-interference cancellation processing on the second information source on the basis of the target cancellation signal to obtain a target information source.

Abstract: A flow electrode capacitive deionization system and a method for recovering phosphorus in phosphogypsum leachate and synchronous performing brine desalination belong to the technical field of wastewater treatment and recycling. The flow electrode capacitive deionization system includes a phosphorus recovery electrodeionization module and a desalination electrodeionization module. A first flow electrode solution reservoir, a phosphorus recovery electrodeionization module cathode flow electrode chamber, and a desalination electrodeionization module anode flow electrode chamber are interconnected in a circulation. A second flow electrode solution reservoir, a phosphorus recovery electrodeionization module anode flow electrode chamber, and a desalination electrodeionization module cathode flow electrode chamber are interconnected in a circulation. Two independent flow electrode solution circulation loops are formed.

Abstract: Provided are a humanized anti-A? monoclonal antibody and use thereof. The humanized anti-A? monoclonal antibody provided can inhibit the polymerization of A? monomers, protect nerve cells from the toxicity of A?, and have a certain effect on improving the cognitive learning and memory ability of Alzheimer's dementia model mice, and can be used for the treatment and diagnosis of diseases and disorders related to amyloidosis, such as Alzheimer's disease.

Abstract: The disclosure provides a smart heat sealing method for vacuum packaging, comprising steps of: recording a time interval ?t between two adjacent starts of a heating device which is continuously started a number of times; recording a number k of starts of the heating device; obtaining a first heating coefficient p1 based on ?t, obtaining a second heating coefficient p2 based on k, selecting the heating constant t depending on specified parameters and performance of the vacuum package machine, and calculating the heating time T for next operation of the heating device by a formula T=p1*p2*t based on p1, p2, and t. It solves the heat accumulation problem of the heating device caused by too much repeated use or overuse in short time interval, and thus avoids unsuccessful vacuuming and solves the problem of poor heat sealing effect, and greatly improves user experience.

Abstract: A light-emitting diode substrate, a manufacturing method thereof, and a display device are disclosed. The manufacturing method of the light-emitting diode substrate includes: forming an epitaxial layer group of M light-emitting diode chips on a substrate; transferring N epitaxial layer groups on N substrates onto a transition carrier substrate, the N epitaxial layer groups on the N substrates being densely arranged on the transition carrier substrate; and transferring at least part of N*M light-emitting diode chips corresponding to the N epitaxial layer groups on the transition carrier substrate onto a driving substrate, an area of the transition carrier substrate is greater than or equal to a sum of areas of the N substrates, M is a positive integer greater than or equal to 2, and N is a positive integer greater than or equal to 2.

Abstract: An additive compound for dyeing an aluminum or aluminum alloy substrate after anodic oxidation to provide better uniformity in dyeing and hence a better finished appearance includes a main agent, an auxiliary agent, a pH stabilizer, an antibacterial agent, and a moderating agent. The antibacterial agent includes at least one of sorbic acid, fluconazole, itraconazole, artemisia argyi, benzyl alcohol, benzoic acid, salicylic acid, and boric acid. The moderating agent includes at least one of amino acid, amino salt, sulfate, nitrate, and chloride. An additive solution and a dyeing method are also provided, the use of the compound also allows for a more rapid dyeing process.

Abstract: An additive compound for dyeing an aluminum or aluminum alloy substrate after anodic oxidation to provide better uniformity in dyeing and hence a better finished appearance includes a main agent, an auxiliary agent, a pH stabilizer, and an antibacterial agent. The antibacterial agent includes at least one of sorbic acid, fluconazole, itraconazole, Artemisia argyi, benzyl alcohol, benzoic acid, salicylic acid, and boric acid. An additive solution and a dyeing method are also provided, the use of the compound also allows for a more rapid dyeing process.

Abstract: A pile plan map indicating a plurality of locations in a geographic area at which piles are to be installed is accessed. A first set of locations is identified from the plurality of locations and a first set of piles to be driven into the ground at the first set of locations using the pile plan map is identified. An order for driving the first set of piles into the ground is identified and a pile type for each of the first set of piles is identified. Basket assembly instructions are generated for assembling the first set of piles into a basket based on the identified order and the identified pile types. The first set of piles are assembled autonomously or manually into the basket based on the generated basket assembly instructions.

Abstract: An autonomous pile driving system identifies using a pile plan map a target location to install a pile. The system autonomously navigates towards the target location. The system autonomously detects using an object sensor system an orientation and location of the pile located within a threshold distance of the system. The system autonomously positions a tool of the autonomous pile driving system based on the detected orientation and location of the pile. The system autonomously picks up the pile using the positioned tool of the autonomous pile driving system. The system autonomously positions the pile based on the target location. The system autonomously drives the pile into ground at the target location.

Abstract: An autonomous off-road vehicle (AOV) autonomously performs a pile driving operation by driving a pile into the ground at a location identified by a pile plan map. The AOV detects one or more attributes of the pile using one or more sensors during or after the pile driving operation. The AOV determines whether the one or more attributes of the pile exceed respective tolerance thresholds. The AOV performs a quality control action in response to determining that the one or more attributes of the pile exceed the respective tolerance thresholds. The one or more attributes include one or more of a location and an orientation of the pile, and the quality control action is performed in response to determining that the location or the orientation of the pile exceeds the respective tolerance threshold.

Abstract: An example method of entitling software in a cloud includes: receiving, from an entitlement agent of the software, an entitlement request at a first entitlement proxy of an entitlement service executing in the cloud; determining, by the entitlement proxy, an entitlement of the software in response to the entitlement request based on an entitlement specification, the entitlement specification provided by an entitlement root of the entitlement service; and sending, by the entitlement proxy, the entitlement to the entitlement agent for application to the software.

Abstract: Data usage by networking and data processing services is measured using a timeslot system. The timeslots have multiple states for collecting, collecting with processing, and expired timeslots. Data from upstream components is reported to local manager clusters and placed into timeslots corresponding to a timestamp of the data. Data can be reported from local managers to an entitlement service and/or a cloud service portal. Timing inconsistencies due to latency or processing time can be resolved by accounting for a timestamp difference using a timestamp difference value between the timeslot time and the reporting time. Data can be deduplicated, cleaned, and/or compacted. Data can be also be version controlled, with timeslots maintaining a version number. Complete and accurate tracking of data usage and associated costs is improved by reporting and collecting usage data using state-based timeslots.

Abstract: In a code analysis method, a code analysis system obtains information about a service scenario that represents an objective of code analysis. The code analysis system generates a code analysis algorithm for the service scenario based on the information about the service scenario. When code analysis needs to be performed, the code analysis system obtains information about source code and object code that are specified by a user, and analyzes similarity between the source code and the object code according to the code analysis algorithm to obtain an analysis result. The similarity between the source code and the object code is analyzed according to the code analysis algorithm generated based on the information about the service scenario, to obtain the analysis result that meets a requirement of the service scenario.

Abstract: An autonomous off-road vehicle (AOV) includes a vehicle body and a vehicle arm coupled to the vehicle body and including a set of prongs and a clamp extending outward from an end of the vehicle arm. A controller causes the vehicle arm to pick up a pile by: aligning the set of prongs with an end of the pile such that a first prong aligns with an opening on a first side of a web of the pile and a second prong aligns with a space on a second side of the web, inserting the set of prongs into the opening on the first side and the space on the second side, and compressing the clamp into an exterior surface of a flange of the pile such that the set of prongs are reciprocally compressed into an interior surface of the flange on either side of the web.

Abstract: An autonomous pile driving system comprises an arm of an autonomous offroad vehicle (AOV) configured to hold and drive a pile, a chute configured to stabilize the pile as the pile is being driven. The autonomous pile driving system further comprises a controller configured to identify a location in the geographic area where a pile is to be driven (e.g., installed) and position the chute at the location. The controller aligns the pile secured by the AOV with an opening of the chute and inserts the pile into the chute by actuating an arm (or other suitable component) of the AOV securing the pile.

Abstract: A processing equipment and a control method thereof are provided. The processing equipment includes a furnace body, a temperature sensor, and a heater unit. A furnace cavity of the furnace body divided into main heating zones and auxiliary heating zones. The heater unit includes main heating elements located in the main heating zones and auxiliary heating elements located in the auxiliary heating zones. The control method includes obtaining an actual temperature detected by the temperature sensor; determining a first heating power according to a first temperature difference and a first preset adjustment rule; determining a second heating power according to the first heating power and a preset adjustment parameter; adjusting an actual working power of the main heating elements to the first heating power, adjusting an actual working power of the auxiliary heating elements to the second heating power.

Abstract: An example method of configuring an entitlement service that manages entitlement of software in a virtualized computing system includes: receiving, at a plug-in of the entitlement service, software component data that specifies a component type and offerings of the component type, the offerings associated with feature sets, the entitlement service executing on a cloud platform in the virtualized computing system; storing, by the plug-in, the software component data in a database; and notifying, by the plug-in, the entitlement service to support entitlement of components of the software having the component type.

Abstract: An example method of distributed load balancing in a virtualized computing system includes: configuring, at a logical load balancer, a traffic detector to detect traffic to a virtual internet protocol address (VIP) of an application having a plurality of instances; detecting, at the traffic detector, a first request to the VIP from a client executing in a virtual machine (VM) supported by a hypervisor executing on a first host; sending, by a configuration distributor of the logical load balancer in response to the detecting, a load balancer configuration to a configuration receiver of a local load balancer executing in the hypervisor for configuring the local load balancer to perform load balancing for the VIP at the hypervisor using the load balancer configuration.

Abstract: In some implementations, the EMV uses a calibration to inform autonomous control over the EMV. To calibrate an EMV, the system first selects a calibration action comprising a control signal for actuating a control surface of the EMV. Then, using a calibration model comprising a machine learning model trained based on one or more previous calibration actions taken by the EMV, the system predicts a response of the control surface to the control signal of the calibration action. After the EMV executes the control signal to perform the calibration action, the EMV system monitors the actual response of the control signal and uses that to update the calibration model based on a comparison between the predicted and monitored states of the control surface.

Abstract: An earth moving vehicle (EMV) autonomously performs an earth moving operation within a dig site. If the EMV determines that a state of the EMV or the dig site triggers a triggering condition associated with a pause in the autonomous behavior of the EMV, the EMV determines a risk associated with the state or triggering condition. If the risk is greater than a first threshold, the EMV continues the autonomous performance and notifies a remote operator that the triggering condition was triggered. If the risk is greater than the first threshold risk but less than a second threshold risk, the EMV is configured to operate in a default state before continuing and notifying the remote operator. If the risk is greater than the second threshold risk, the EMV notifies the remote operator of the state pauses the performance until feedback is received from the remote operator.