Abstract: A display panel and a display device are provided. The display panel includes first, second and third data lines located in a display area, first and second compensation capacitors located in a first non-display area and have a same capacitance, and a peripheral circuit located in a second non-display area. The first and second data lines are electrically connected to M sub-pixels, and the third data line is electrically connected to N sub-pixels, where 1?M<N, M and N are integers. The first and second compensation capacitors are electrically connected to the first and second data lines, respectively. The first non-display area has a length gradually decreasing along a direction parallel to the first direction and along a direction from the display area to the second non-display area, and the length is a size of the first non-display area along the second direction.

Abstract: A first terminal device obtains first data from a network device based on a first identifier, where the first identifier is used to identify a first cooperation group, and the first cooperation group includes the first terminal device and a second terminal device. The first terminal device forwards the first data to the second terminal device.

Abstract: A quantum-key distributed (QKD)-enabled communication architecture it devises for networked microgrids (NMGs). A real-time QKD-enabled NMGs testbed built in an RTDS environment, and a novel two-level key pool sharing (TLKPS) strategy it designs to improve the system resilience against cyberattacks. In the QKD-based microgrid testbed design there is used a real-time power system simulator, i.e., RTDS, including the QKD modeling, hardware connection, communication network design, and QKD integration. By integrating QKD features into a real-time microgrid simulator, this testbed offers a flexible and programmable testing environment for evaluating the performance of QKD-enabled microgrids under a variety of scenarios.

Abstract: This application discloses a data processing method. In a content delivery network including a first terminal device, a second terminal device, and a resource server, the resource server is configured to store and provide a content packet. The method includes acquiring a content packet of first target content from a resource server, the resource server being a server in the content delivery network configured to provide the first target content to the first terminal device; transmitting the content packet to a second terminal device through a data connection with the second terminal device, the second terminal device being an access node of the content delivery network, and the second terminal device initiating an acquisition request for the first target content; obtaining a content picture frame of the first target content based on the content packet; and displaying the content picture frame of the first target content.

Abstract: A display device has a main display area and a function-adding area and includes a backlight module and a display panel. The backlight module includes an optical film set and light sources. The light sources are disposed on at least one end of the optical film set that is perpendicular to a light-emitting side of the backlight module, and include first light groups and second light groups. When the display device is in a functional mode, the first light groups are turned off, the second light groups are turned on, a first dark zone is formed on the optical film set, and the function-adding area is located within the first dark zone.

Abstract: A dielectric coated plasmonic photoemitter is provided. An aspect of the present photonic apparatus includes a conductive photoemitter including a dielectric material coating or layered on a metallic core. The dielectric material being configured to enhance a local optical field strength and current density of the photoemitter as compared to a bare photoemitter without the dielectric layer. The dielectric layered photoemitter being tunable to transmit photoemissions from corners thereof with different photonic characteristics depending on a laser wavelength pulse received.

Abstract: An internal peeping detection-while-drilling system includes an intelligent probing rod, cable drill pipes, a signal relay sub, a ground control terminal, a data interpretation and goaf reconstruction imaging software system, and a remote data transmission system, where the intelligent probing rod includes an up-down separated protective transmission mechanism and an instrument cabin; the intelligent probing rod includes a lower end connected to a drilling bit, and an upper end connected to each of the cable drill pipes; the instrument cabin is provided in the up-down separated protective transmission mechanism, and provided with a sonar-lidar-audio/video sensor assembly; the cable drill pipes are connected to each other to form a cable and data transmission channel; the signal relay sub is provided between the cable drill pipes at intervals; and an uppermost end of the cable drill pipe is connected to the ground control terminal.

Abstract: A method for three-dimensional (3D) imaging of an underground goaf includes: obtaining a video image and point cloud data of an underground goaf; determining a posture transformation matrix, and aligning the video image and the point cloud data; identifying a material texture based on the video image to obtain material texture information; dividing the point cloud data into triangular meshes to form an initial 3D model of the underground goaf; mapping the material texture information onto the 3D model to form a target 3D model with a material texture attribute; calculating a bidirectional reflectance distribution function (BRDF) of the target 3D model based on the material texture attribute; simulating global illumination, and constructing a rendering equation; and making a setting to emit ray from a viewpoint, and performing ray tracing based on the rendering equation to obtain a high-brightness real scene image of the underground goaf.

Abstract: A method for mapping a three-dimensional (3D) point cloud model based on deep learning includes: extracting features of image data by using a convolutional neural network; extracting features of point cloud data by using a PointNet point cloud processing network, and constructing a 3D model of the point cloud data by using a triangular mesh; aligning the 3D model and an image spatially and temporally; performing projection mapping on the aligned 3D model and image, and superimposing location information in the point cloud data onto texture information of the image to obtain a first fused image; fusing the features of the point cloud data and the features of the image data to obtain a second fused image with a fused feature; and superimposing the first fused image onto the second fused image, and obtaining a superimposition weight by using the convolutional neural network, to generate a mapped 3D model.

Abstract: Techniques for updating a machine learning model based on user interactions are described. In particular, in some examples, user interactions with a chatbot provide aspects of a data set to be used to train or fine-tune a ML model. In some examples, this is accomplished by collecting data from a first plurality of interactions with a machine learning (ML) model; generating a variant of the ML model using the collected data by: filtering the collected data to create a first data set, training the ML model based on the first data set to generate an adapted ML model, and fine-tuning the adapted ML model on a second data set, different than the first data set to generate the variant of the ML model.

Abstract: Disclosed are a method and a device for detecting inconsistency of single cells in vehicle battery, and a medium. The method includes obtaining current battery data for a vehicle under test, determining whether the current battery data corresponds to a charging or discharging condition, and separately evaluating the presence of inconsistency in cells under each condition. This enables distinct detection for charging and discharging conditions, thereby enhancing detection accuracy.

Abstract: Aspects of the present disclosure configure a memory sub-system controller to selectively adjust a program pulse for different word line groups of a memory sub-system. The controller receives a request to program data to an individual memory component of a set of memory components. The controller determines that a program erase count (PEC) associated with the individual memory component transgresses a threshold value. The controller, in response to determining that the PEC associated with the individual memory component transgresses the threshold value, selectively adjusts a predetermined program voltage (Vpgm) associated with a subset of word lines (WLs) of the individual memory component based on whether the subset of WLs is associated with an individual WL group (WLG). The controller programs the data to the individual memory component according to the selectively adjusted predetermined Vpgm.

Abstract: Monoclonal antibodies of molecular markers (KRT7, KLK10 and LAMC2) for specifically marking very-early-stage cells of gastric cancer are prepared, and are used in the preparation of a kit for determining the very-early-stage onset risk of gastric cancer or other digestive tract tumors on the basis of gastric tissue or blood. The results show that: 1) the overall accuracy rate of predicting the progression risk of low-grade dysplasia reaches 86%, and the AUC value reaches 0.87; 2) the accuracy rate is closely related to the progression time of low-grade dysplasia, wherein the accuracy rate is increased to 95% 6 months before the onset of gastric cancer, and the window for the early diagnosis of gastric cancer can be moved forward by an average of 10 months; and 3) the accuracy rate of the marker in diagnosing gastric cancer is over 97%.

Abstract: Embodiments of this application disclose a method for reporting CSI of a multi-hop path and a related apparatus. The method includes: The multi-hop path includes a first device, a second device, and a third device, where the first device is a source device, and the second device is a target device. The first device obtains a first CSI report of a target transmission path. The first CSI report indicates the target transmission path. According to embodiments of this application, so that a comprehensive channel state of the multi-hop path can be obtained from a data sending device, namely, the source device, by reporting first CSI.

Abstract: A data synchronization method and apparatus, applied to a first data service module. The method includes receiving a first request from a second service module, where the first request is used to request to synchronize service data of a first service module; obtaining the service data of the first service module; and sending the service data of the first service module to the second service module. In solutions provided in the present disclosure, the first data service module replaces the first service module to synchronize the service data of the first service module for the second service module.

Abstract: A data transmission method and apparatus, and a related device, and may be used in the internet of vehicles, for example, V2X, LTE-V, or V2V, or may be used in fields such as D2D, intelligent driving, and intelligent connected vehicle. A network device may send first downlink control information to a first terminal device and a second terminal device, to indicate the first terminal device and the second terminal device to perform user cooperative transmission in a first stage. After the transmission in the first stage is completed, the network device sends second downlink control information to the first terminal device and the second terminal device, to indicate the first terminal device and the second terminal device to perform user cooperative transmission in a second stage. The network device uses a two-level scheduling manner to improve transmission efficiency in the second stage.

Abstract: This application discloses a multi-hop transmission method and an apparatus, which are applicable to fields such as V2X, internet of vehicles, intelligent connected vehicles, assisted driving, and intelligent driving, to resolve a problem that a multi-hop transmission latency is large in a conventional technology. In example embodiments, terminal devices participating in multi-hop transmission may share a shared resource pool. A first terminal device and a second terminal device participating in the multi-hop transmission are used as an example. The multi-hop transmission method includes: sending, by the first terminal device, data to the second terminal device on a first resource in the shared resource pool; and if the first terminal device fails to send the data on the first resource, retransmitting, by the first terminal device, the data to the second terminal device on a second resource in the shared resource pool.

Abstract: Some embodiments of the disclosure disclose a connecting structure, and a plunger pump device and a generator device. The connecting structure is used for connecting a bottom and a beam body; the beam body comprises a beam body and a wing plate; the connecting structure includes: a connecting body which comprises a first connecting portion and a second connecting portion which are connected with each other, wherein the first connecting portion has a first surface, the second connecting portion has a second surface, the first surface is used for mounting the bottom, and the second surface is used for mounting the beam body; a first angle is formed between the first surface and the second surface, and a wing plate mounting space is formed between the first connecting portion and the second connecting portion.

Abstract: Determining missing relationship information and augmenting a knowledge graph includes obtaining a knowledge graph with nodes representing entities and edges representing relationships between related entities, building a dataset indicating attribute(s) and attribute value(s) of each entity of a related entity pair, a relationship type of the relationship between the related entity pair, and a weight of the relationship type, using the dataset to build machine learning model(s), receiving a partial specification of a new relationship triple, the specification including the new source entity and missing relationship information of the new relationship triple, applying one or more of the model(s) and identifying the missing relationship information, and augmenting the graph to provide an augmented knowledge graph that includes the new relationship triple, including the new source entity, the target entity, and the relationship type of the relationship between the new source entity and the target entity.