Abstract: Embodiments of the present disclosure provide methods, apparatus and computer program products for network function service discovery. A method implemented at a second network node in a wireless core network with service based architecture comprises: receiving a registration request for network function instance from a network function, the registration request comprising information identifying a subscriber group to which the network function instance is applicable; and storing the information in association with the network function instance. With embodiments of the disclosure, size of NF profile can be saved.

Abstract: A target detection method based on the fusion of prior positioning of a millimeter-wave radar and a visual feature includes: simultaneously obtaining, based on the millimeter-wave radar and a vehicle-mounted camera after being calibrated, point cloud data of the millimeter-wave radar and a camera image; performing spatial 3D coordinate transformation on the point cloud data to project transformed point cloud data onto a camera plane; generating a plurality of anchor samples based on projected point cloud data according to a preset anchor strategy, and obtaining a final anchor sample based on a velocity-distance weight of each candidate region; fusing RGB information of the camera image and intensity information of an RCS in the point cloud data to obtain a feature of the final sample; and inputting the feature of the final anchor sample into a detection network to generate category and position information of a target in a scenario.

Abstract: A 3D object detection method based on multi-view feature fusion of 4D RaDAR and LiDAR point clouds includes simultaneously acquiring RaDAR point cloud data and LiDAR point cloud data; and inputting the RaDAR point cloud data and the lidar point cloud data into a pre-established and trained RaDAR and LiDAR fusion network and outputting a 3D object detection result, wherein the RaDAR and LiDAR fusion network is configured to learn interaction information of a LiDAR and a RaDAR from a bird's eye view and a perspective view, respectively, and concatenate the interaction information to achieve fusion of the RaDAR point cloud data and the lidar point cloud data. The method can combine advantages of RaDAR and LiDAR, while avoiding disadvantages of the two modalities as much as possible to obtain a better 3D object detection result.

Abstract: A takeoff and landing control method of a multimodal air-ground amphibious vehicle includes: receiving dynamic parameters of the multimodal air-ground amphibious vehicle; processing the dynamic parameters by a coupled dynamic model of the multimodal air-ground amphibious vehicle to obtain dynamic control parameters of the multimodal air-ground amphibious vehicle, wherein the coupled dynamic model of the multimodal air-ground amphibious vehicle comprises a motion equation of the multimodal air-ground amphibious vehicle in a touchdown state; and the motion equation of the multimodal air-ground amphibious vehicle in a touchdown state is determined by a two-degree-of-freedom suspension dynamic equation and a six-degree-of-freedom motion equation of the multimodal air-ground amphibious vehicle in the touchdown state; and controlling takeoff and landing of the multimodal air-ground amphibious vehicle according to the dynamic control parameters of the multimodal air-ground amphibious vehicle.

Abstract: A method for prevention and treatment of addictions and control of relapse comprising administering a patient in need thereof a composition comprising imatinib or a derivative thereof, and an addictive substance or an analgesic agent; wherein the addictive substance comprises: (1) narcotic drugs, (2) psychotropic drugs, (3) ethanol, tobacco, volatile organic solvents, and other substances leading to addictions in organisms, and analogues thereof; and (4) nicotine or an analogue thereof.

Abstract: A method of diagnosing and monitoring substance addiction or behavioral addiction, the method including using a biomarker. The biomarker is a biomarker produced by c-Kit gene.

Abstract: A solar cell and a photovoltaic module including the solar cell. The solar cell includes: a semiconductor substrate including a first surface and a second surface opposite to each other; a first dielectric layer located on the first surface; a first N+ doped layer located on a surface of the first dielectric layer; a first passivation layer located on a surface of the first N+ doped layer; a first electrode located on a surface of the first passivation layer; a second dielectric layer located on the second surface; a first P+ doped layer located on a surface of the second dielectric layer; a second passivation layer located on a surface of the first P+ doped layer; and a second electrode located on a surface of the second passivation layer.

Abstract: Technical solutions in this application are applied to the field of artificial intelligence. This application provides a neural network training method, a method for performing data processing by using a neural network trained by using the method, and a related apparatus. According to the training method in this application, a target neural network is trained in an adversarial manner, so that a policy search module can continuously discover a weakness of the target neural network, generate a policy of higher quality according to the weakness, and perform data augmentation according to the policy to obtain data of higher quality. A target neural network of higher quality can be trained according to the data. In the data processing method in this application, data processing is performed by using the foregoing target neural network, so that a more accurate processing result can be obtained.

Abstract: An all-weather target detection method based on a vision and millimeter wave fusion includes: simultaneously acquiring continuous image data and point cloud data using two types of sensors of a vehicle-mounted camera and a millimeter wave radar; pre-processing the image data and point cloud data; fusing the pre-processed image data and point cloud data by using a pre-established fusion model, and outputting a fused feature map; and inputting the fused feature map into a YOLOv5 detection network for detection, and outputting a target detection result by non-maximum suppression. The method fully fuses millimeter wave radar echo intensity and distance information with the vehicle-mounted camera images. It analyzes different features of a millimeter wave radar point cloud and fuses the features with image information by using different feature extraction structures and ways, so that the advantages of the two types of sensor data complement each other.

Abstract: The present disclosure provides a back-contact solar cell and a solar cell module. The back-contact solar cell includes: a substrate including a light-receiving surface and a back surface opposite to the light-receiving surface, wherein the substrate includes a center region and connecting regions on opposite sides of the center region; positive electrodes and negative electrodes disposed on the back surface of the substrate; auxiliary positive electrodes, disposed on one or both of the light-receiving surface and a side surface of each of the connecting regions, and configured to be electrically coupled to the plurality of positive electrodes; and auxiliary negative electrodes, disposed on one or both of the light-receiving surface and the side surface of each of the connecting regions, and configured to be electrically coupled to the plurality of negative electrodes.

Abstract: An all-weather target detection method based on a vision and millimeter wave fusion includes: simultaneously acquiring continuous image data and point cloud data using two types of sensors of a vehicle-mounted camera and a millimeter wave radar; pre-processing the image data and point cloud data; fusing the pre-processed image data and point cloud data by using a pre-established fusion model, and outputting a fused feature map; and inputting the fused feature map into a YOLOv5 detection network for detection, and outputting a target detection result by non-maximum suppression. The method fully fuses millimeter wave radar echo intensity and distance information with the vehicle-mounted camera images. It analyzes different features of a millimeter wave radar point cloud and fuses the features with image information by using different feature extraction structures and ways, so that the advantages of the two types of sensor data complement each other.

Abstract: Provided is a method for generating a song melody. The method includes: displaying a melody configuration page; acquiring melody attribute information selected based on the melody configuration page; displaying a melody generation button in a triggerable state on the melody configuration page in response to selection of the melody attribute information being completed; displaying a candidate melody page in response to a triggering operation on the melody generation button; and determining one or more selected candidate melodies from at least one candidate melody as a target melody.

Abstract: A target detection method based on the fusion of prior positioning of a millimeter-wave radar and a visual feature includes: simultaneously obtaining, based on the millimeter-wave radar and a vehicle-mounted camera after being calibrated, point cloud data of the millimeter-wave radar and a camera image; performing spatial 3D coordinate transformation on the point cloud data to project transformed point cloud data onto a camera plane; generating a plurality of anchor samples based on projected point cloud data according to a preset anchor strategy, and obtaining a final anchor sample based on a velocity-distance weight of each candidate region; fusing RGB information of the camera image and intensity information of an RCS in the point cloud data to obtain a feature of the final sample; and inputting the feature of the final anchor sample into a detection network to generate category and position information of a target in a scenario.

Abstract: The embodiments of the present disclosure provide a photovoltaic module including a base plate, a cell string and a cover plate stacked in order; a first packaging layer located between the base plate and the cover plate and surrounding the cell string, the first packaging layer, the base plate and the cover plate defining a sealed space; and a moisture treatment layer located in the sealed space. The moisture treatment layer includes at least one of a functional layer and a moisture detection layer. The functional layer is adaptive to absorb moisture and be converted into a solidified layer, the solidified layer has a degree of cross linking greater than a degree of cross linking of the functional layer. The moisture detection layer is adaptive to detect and determine whether there is moisture in the sealed space through response information of the moisture detection layer.

Abstract: A single crystal furnace is provided, including a main furnace chamber; an auxiliary furnace chamber communicating with the main furnace chamber; and a material chamber provided with a charging inlet and a charging mechanism, wherein the material chamber is communicated with the main furnace chamber through the charging inlet, the charging mechanism is telescopically coupled to the charging inlet for charging materials into a crucible in the main furnace chamber. In the single crystal furnace, the material chamber is provided, so that charging operation may be performed during taking out the monocrystalline silicon rod, thereby effectively shortening the time consumed by taking out the monocrystalline silicon rod and the charging operation, and improving production efficiency.

Abstract: Embodiments of the present disclosure provide methods, apparatus and computer program products for network function service discovery. A method implemented at a second network node in a wireless core network with service based architecture comprises: receiving a registration request for network function instance from a network function, the registration request comprising information identifying a subscriber group to which the network function instance is applicable; and storing the information in association with the network function instance. With embodiments of the disclosure, size of NF profile can be saved.

Abstract: The present disclosure provide a solar cell, including: a substrate, an interface passivation layer covering a rear surface of the substrate, and an electrode disposed at a side of the interface passivation layer facing away from the substrate, the interface passivation layer including a first interface passivation sub-layer corresponding to a portion of the interface passivation layer between adjacent electrodes and a second interface passivation sub-layer corresponding to a portion of the interface passivation layer where disposed between the substrate and the electrode; a field passivation layer, at least partially disposed between the interface passivation layer and the electrode; and a conductive enhancement layer, at least partially disposed at a side of the first interface passivation sub-layer away from the substrate to enable carriers in the first interface passivation sub-layer to flow to the electrode, where a resistivity of the conductive enhancement layer is smaller than a resistivity of the fiel

Abstract: The present disclosure provides a back-contact solar cell and a solar cell module. The back-contact solar cell includes: a substrate including a light-receiving surface and a back surface opposite to the light-receiving surface, wherein the substrate includes a center region and connecting regions on opposite sides of the center region; positive electrodes and negative electrodes disposed on the back surface of the substrate; auxiliary positive electrodes, disposed on one or both of the light-receiving surface and a side surface of each of the connecting regions, and configured to be electrically coupled to the plurality of positive electrodes; and auxiliary negative electrodes, disposed on one or both of the light-receiving surface and the side surface of each of the connecting regions, and configured to be electrically coupled to the plurality of negative electrodes.

Abstract: The present disclosure provides a solar cell and a method for producing same. The solar cell includes: a substrate; a first passivation film, an anti-reflection layer and at least one first electrode formed on a front surface of the substrate; and a tunneling layer, a field passivation layer and at least one second electrode formed on a rear surface. The field passivation layer includes a first field passivation sub-layer and a second field passivation sub-layer; a conductivity of the first field passivation sub-layer is greater than a conductivity of the second field passivation sub-layer, and a thickness of the second field passivation sub-layer is smaller than a thickness of the first field passivation sub-layer; either the at least one first electrode or the at least one second electrode includes a silver electrode, a conductive adhesive and an electrode film that are sequentially formed in a direction away from the substrate.

Abstract: Provided is a solar cell and a method for manufacturing the same, the method includes: forming a doped layer on a surface of a semiconductor substrate, the doped layer having a first doping concentration of a doping element in the doped layer; depositing, on a surface of the doped layer, a doped amorphous silicon layer including the doping element; selectively removing at least one region of the doped amorphous silicon layer; performing annealing treatment, for the semiconductor substrate to form a lightly doped region having the first doping concentration and a heavily doped region having a second doping concentration in the doped layer, the second doping concentration is greater than the first doping concentration; and forming a solar cell by post-processing the annealed semiconductor substrate. The solar cell and the method for manufacturing the same simplify the manufacturing process and improve conversion efficiency of the solar cell.