Abstract: This specification provides a training method of a hybrid graph neural network model. The hybrid graph neural network model includes an encoding function and a decoding function. The method includes the following: using instances corresponding to all targets in training samples and several nearest neighbors of the instances as nodes in a graph, a graph representation vector of each instance is generated by using the encoding function based on graph data of all the instances. t rounds of training are performed on a decoding parameter; and in each round, bs targets are extracted from training samples, a predicted quantity of each target is generated by using the decoding function based on the graph representation vector of the instance corresponding to each target and non-graph data corresponding to each target, and the decoding parameter is optimized based on a loss quantity of the current round that is determined by the predicted quantities and label quantities of the bs targets in the current round.

Abstract: Method and an IoT system for gas gate station monitoring are provided. The method includes obtaining operation data of a gas gate station; obtaining a downstream user feature corresponding to the gas gate station and historical warning data corresponding to the gas gate station; determining, based on the downstream user feature and the historical warning data and in combination with the operation data, the associated node in a preset time period, the associated node including at least one of a gate station internal node and an external pipeline network node; obtaining monitoring data of the associated nodes, the monitoring data at least including node monitoring data of the gate station internal node and node monitoring data of the external pipeline network node; and issuing a warning notification in response to the monitoring data not satisfying a preset condition.

Abstract: Disclosed are a resolution method for intent-based wireless network resource conflicts and an apparatus thereof. The method includes the following steps: periodically acquiring configured resource information about a current wireless network; pre-allocating resources required for a newly-added intent; and determining whether a pre-allocated resource configuration policy is incompatible with a resource configuration policy being executed in a current network. The apparatus includes: an interface module; a solution module; a feedback module; and a storage module. Through the relative priority of intent requirements, a bias of an implementation satisfaction degree of a network configuration policy is determined, and network resource conflicts of intent requirements with different priorities are solved.

Abstract: A drug coated balloon includes a balloon body and a drug loaded coating layer. The drug loaded coating layer includes a first drug loaded coating component having at least two controllable sustained release drugs with different drug release kinetics, and a second drug loaded coating component including an active drug. The second drug loaded coating component is dispersed among the controllable sustained release drugs and couples the controllable sustained release drugs on the balloon body. The first and second drug loaded coating components are both non-hydrophilic compositions. The drug coated balloon provides sufficient initial drug loading dosage to the lesion site, and has adjustable drug release rate, thereby allowing the drug coated balloon to provide bioactive drugs to the treatment site at different stages of the cascade reaction of vascular restenosis, providing the controllable long-acting therapeutic drugs, and improving the overall vascular drug release efficacy.

Abstract: A model training method and a related apparatus to help improve a convergence speed of model training and improve end-to-end communication quality. The method includes: a first communication apparatus sends first data to a second communication apparatus through a channel, where the first data is an output result of the first machine learning model. The second communication apparatus receives second data through a channel, inputs the second data into a second machine learning model to obtain third data; determines a first loss function based on the third data and the first training data; and sends the first loss function to the first communication apparatus through a feedback channel.

Abstract: A server device which is self-adaptive to different placements and locations includes a chassis, a plurality of storage elements, and a storage cabinet. First and third slide rails are positioned at opposite sides of the storage cabinet along a first direction. Second and fourth slide rails are positioned at other two opposing sides of the storage cabinet. The storage cabinet is movably positioned in the chassis along a third direction. When the chassis is horizontal, the first slide rail and the third slide rail provide support for the storage cabinet and when the chassis is vertical, support is provided by the second and fourth slide rails. The problem of the storage cabinet being difficult to slide when the placement of the chassis is changed is reduced, and the server device is more flexible in its placement.

Abstract: A method including obtaining image data and attribute information of a first item in an item catalog. The method also can include generating candidate variant items from the item catalog for the first item using a combination of (a) a k-nearest neighbors approach to search for first candidate variant items based on text embeddings for the attribute information of the first item, and (b) an elastic search approach to search for second candidate variant items based on image embeddings for the image data of the first item. The method additionally can include performing respective classifications based on respective pairs comprising the first item and each of the candidate variant items to filter the candidate variant items. The method further can include determining a respective distance between the first item and each of the candidate variant items, as filtered.

Abstract: A device and method for glaucoma auxiliary diagnosis, and a non-transitory storage medium are provided. The device includes an obtaining unit and a processing unit. The obtaining unit is configured to obtain a color fundus image of a patient. The processing unit is configured to perform feature extraction on the color fundus image to obtain a first feature map. The processing unit is further configured to perform image segmentation on the color fundus image according to the first feature map to obtain an optic disc image in the color fundus image, where the optic disc image corresponds to an optic disc area in the color fundus image. The processing unit is further configured to perform feature extraction on the optic disc image and the color fundus image according to the first feature map to obtain a probability that the patient has glaucoma.

Abstract: A radiating element includes: a plurality of radiators, where each radiator includes a first side arm segment and a second side arm segment; a plurality of feeder rods, where each feeder rod is electrically connected to a respective one of a plurality of first side arm segments and a plurality of second side arm segments, where each group of feeder rods and their connected side arm segments include a first portion and a second portion electrically insulating from each other; and at least one common mode current suppressing component, where each common mode current suppressing component includes a first conductive portion and a second conductive portion adjacent to each other and electrically insulating, where the first conductive portion is electrically connected between a first portion of a group of feeder rods and their connected side arm segments and a second portion of an adjacent group of feeder rods and their connected side arm segments, and the second conductive portion is electrically connected betwee

Abstract: The present invention discloses an intelligent control system and method for a doll clothing cooling device, the system including an information acquisition system, an image acquisition system, a computer vision system, and a central control system. The information acquisition system acquires environmental parameters and human physiological parameters in the mannequin garment. The image acquisition system acquires a video image of a human face and transmits it to the computer vision system to calculate a human head temperature. The central control system predicts the human thermal sensation data based on the acquired environmental and physiological parameters. The opening degree of the cooling device of the mannequin garment is automatically adjusted according to the human body heat sensation data and the voice instructions of the wearer of the mannequin garment. The invention solves the problem of dynamically improving the thermal comfort of the wearer of the mannequin costume in real time.

Abstract: A rotary earhanger structure of a wireless earphone includes an earhanger unit and a movable connection sleeve rotationally connected therewith. One end of the earhanger unit includes a first inclined surface portion extending obliquely in a preset rotational direction. The movable connection sleeve has a second inclined surface portion cooperatively connected with the first inclined surface portion. The movable connection sleeve is connected with an elastic member for driving the movable connection sleeve in a direction close to the earhanger unit. The external force rotates the earhanger unit in the preset rotating direction to adjust the wearing angle. When the earhanger unit is not subjected to the external force, the movable connection sleeve moves in the direction close to the earhanger unit under the force of the elastic member, so that the automatic reset function after the earhanger rotation is realized, thereby simplifying user operation and improving user experience.

Abstract: A battery pack including fire extinguishing equipment. The fire extinguishing equipment includes a first chamber, a second chamber, and an activation line. The first chamber stores a fire extinguishing chemical agent, the second chamber stores a gas-generating chemical agent, and the activation line extends into the second chamber to be in contact with the gas-generating chemical agent. The second chamber includes a pressure relief opening, and the pressure relief opening is in communication with the first chamber, and is configured to spray the gas in the second chamber to the first chamber. The first chamber includes a discharge opening, and the discharge opening is configured to discharge the fire extinguishing chemical agent in the first chamber after the gas generated after the gas-generating chemical agent is ignited enters the first chamber.

Abstract: A rotating shaft mechanism, a support apparatus, and a foldable screen device, and relates to the field of foldable screen device technologies. The rotating shaft mechanism includes a rotating shaft base, a shaft cover, a first swing arm, and a first drive mechanism. The shaft cover is located on a back side of the rotating shaft base, the first swing arm is rotatably connected to the rotating shaft base, and the first swing arm can rotate between an unfolded position and a folded position relative to the rotating shaft base. The first drive mechanism is connected between the first swing arm and the shaft cover, and when rotating from the unfolded position to the folded position, the first swing arm drives, by using the first drive mechanism, the shaft cover to move toward the rotating shaft base.

Abstract: This application discloses a model training method, which may be applied to the field of artificial intelligence. The method includes: when training a first neural network model based on a training sample, determining N parameters from M parameters of the first neural network model based on a capability of affecting data processing precision by each parameter; and updating the N parameters. In this application, on a premise that it is ensured that the data processing precision of the model meets a precision requirement, because only N parameters in M parameters in an updated first neural network model are updated, an amount of data transmitted from a training device to a terminal device can be reduced.

Abstract: A displaying base plate and a fabricating method thereof. The displaying base plate includes a substrate, and a first flat layer on one side of the substrate; a first metal layer on one side of the first flat layer that is further away from the substrate; a second flat layer on sides of the first metal layer and the first flat layer that are further away from the substrate; and a second metal layer on one side of the second flat layer that is further away from the substrate; wherein the first metal layer includes a first metal trace, an orthographic projection of the second metal layer on the substrate and an orthographic projection of the first metal trace on the substrate have an overlapping part, and an orthographic projection of the second flat layer on the substrate covers the orthographic projection of the first metal trace on the substrate.

Abstract: A method, an Internet of Things system, and a medium for smart gas maintenance management order dispatch warning are provided. The method comprises: assigning a gas work order to an order receiver in response to an assignment module, and determining an warning characteristic of the gas work order; wherein, determining the warning characteristic of the gas work order comprise: based on the fault location characteristic of the gas work order, determining the traffic warning value through the traffic warning value determination module; determining the fault warning value based on the gas fault characteristic of the gas work order through the fault warning value determination module; in response to the warning monitoring module monitoring that the warning characteristic meet the preset condition, providing a warning to the order receiver by the warning module.

Abstract: Disclosed is a method for preparing a nano-porous carbon material, comprising the following steps of: mixing polypyrrole nano-fibers with an activator, conducting microwave heating for reaction, and purifying to obtain the nano-porous carbon material. Compared with a conventional high-temperature carbonization method, the method for preparing the nano-porous carbon material of the present disclosure is simple in raw material, convenient to operate, less in time consumption and more suitable for mass preparation and production of the nano-porous carbon materials.

Abstract: A method for reinforcing soft ground by post-grouting combined with pressurized vacuum preloading is proposed, by pre-burying prefabricated vertical drains and air-boosted pipes in granular material piles, and the air-boosted pipes are used as grouting pipes to reduce the number of times of piling, which not only improves the construction efficiency, but also reduces the structural disturbance of the soil and the influence of smear effect, thus reducing the impact on the radial permeability and the radial consolidation coefficients. The method does not use geotextile bags for granular materials, which can avoid the problem of forming a localized clogging area around the geotextile bags, and the method not only improves the efficiency of vacuum transfer in a pre-consolidation stage, but also improves the grouting effect in the later stage, effectively enhances the strength of soft soil and makes granular material piles and the surrounding soil form composite ground.

Abstract: A quote display method includes: the automobile repair terminal sending a parameter test value of the automobile accessory to the test server; the test server sending the parameter test value to the big data platform; the big data platform determining a target keyword corresponding to a faulty automobile accessory according to the parameter test value and a parameter standard value of the automobile accessory, and sending the target keyword corresponding to the faulty automobile accessory to the test server: the test server sending the target keyword to the automobile repair terminal; the automobile repair terminal sending the target keyword to the quote server: the quote server determining, according to the target keyword, accessory information and accessory quote of a target automobile accessory, sending the accessory information and the accessory quote to the automobile repair terminal; the automobile repair terminal displaying the accessory information and the accessory quote.