Abstract: Embodiments of this application provide a communication method and apparatus, and a readable storage medium. The method includes: A first device sends information about a first priority and a second priority to a second device. The first priority is used to assist the second device in selecting a resource for sidelink transmission, the information about the first priority is carried in SCI and/or a MAC CE, and the second priority is a physical layer priority of the first device. In the method, the first device sends the information about the first priority and the second priority to the second device. The information about the first priority is used to assist the second device in selecting the resource for sidelink transmission. Therefore, the second device may further select, based on the information about the first priority, the resource for sidelink transmission, to implement resource selection of the second device.

Abstract: A display substrate, a display panel and a display apparatus. The display substrate including: a substrate having a display area; a plurality of sub-pixels arranged in an array and located in the display area of the substrate; and a plurality of data lines arranged in the display area of the substrate; the plurality of data lines extend in a column direction of the sub-pixels, and a column of sub-pixels are electrically connected with at least one of the plurality of data lines; and for at least one of the plurality of data lines, a side of an orthographic projection of the at least one of the plurality of data lines on the substrate facing orthographic projections of sub-pixels electrically connected with the at least one of the plurality of data lines has a plurality of first concave-convex structures.

Abstract: A convenient self-locking blood pressure cuff facilitating one-handed use by a user taking his own blood pressure includes a cuff belt, a casing assembly, and a self-locking structure. The self-locking structure is received in the casing assembly. The self-locking structure includes a core shaft, a locking assembly, and a pressing assembly. The core shaft is slidably connected to the casing assembly. The locking assembly and the pressing assembly are wrapped around the core shaft. The locking assembly can rotate when a free end of the cuff belt moves with respect to the casing assembly. The locking assembly can further press against the cuff belt when the core shaft slides in the casing assembly. The pressing assembly presses against the locking assembly to prevent the locking assembly from rotating back.

Abstract: A display panel has a plurality of sub-pixel regions arranged in an array of a plurality of rows and a plurality of columns, and a light-shielding region that separates the sub-pixel regions and surrounds all the sub-pixel regions as a whole. The display panel includes: a first substrate; a light-shielding pattern layer located on the first substrate, the light-shielding pattern layer being located in the light-shielding region and covering part of the light-shielding region; a second substrate disposed opposite to the first substrate; and a light-shielding structure layer located on the second substrate, the light-shielding structure layer covering at least a region of the light-shielding region that is not covered by the light-shielding pattern layer.

Abstract: A mechanism for radially inserting a yarn into a 3D braided preform, including a first bracket, an upper linear actuator, a support mechanism, an upper yarn insertion device, a yarn carrying device, an upper gear ring, a lower yarn insertion device, a lower linear actuator, a second bracket, a lower gear ring, a lower gear, a lower motor, a lower circular track, an upper circular track, a base, an upper gear, a pneumatic transmission and control device and an upper motor.

Abstract: Disclosed is a method of network resource allocation. The method includes: generating an adjacency matrix of nodes in a metropolitan area network (MAN) according to spatial adjacency relationships of the nodes; generating a network state feature matrix according to traffic information of each node; extracting traffic spatial features of the nodes from the adjacency matrix and the network state feature matrix through a traffic spatial feature extraction model; obtaining predicted traffic of the nodes from the traffic spatial features through a traffic prediction model; and performing a network resource allocation according to the predicted traffic of the nodes. Further, a device of network resource allocation and a non-transitory computer-readable storage medium are also disclosed.

Abstract: The present disclosure provides a crystal form of a compound and fumaric acid, an active pharmaceutical ingredient and a pharmaceutical composition containing the same, and a method for treating coronavirus-induced diseases a using the same. In particular, the crystal form of the present disclosure comprises the compound of Formula (I) and fumaric acid, and the X-ray powder diffraction pattern of the crystal form obtained using Cu-K? radiation includes at least three peaks selected from the group consisting of: 0.94°±0.2° 2?, 19.06°±0.2° 2?, 23.50°±0.2° 2?, and 24.66°±0.2° 2?. The crystal form of the present disclosure has a high purity, good stability, and a high melting point.

Abstract: A method for recognizing a category of an image includes: acquiring a spectral image; training an image recognition model based on the spectral image, in which the image recognition model acquires a spectral semantic feature of each pixel, a minimum distance between each pixel and each category, and a spectral distance between a first spectrum of each pixel and a second spectrum of each category; splices them; and performs classification and recognition based on the spliced feature to output a recognition probability of each pixel under each category; determining a loss function of the image recognition model, adjusting the image recognition model based on the loss function, and returning to training the adjusted image recognition model based on the spectral image until training ends; recognizing a maximum recognition probability, output from a target image recognition model, and using a category corresponding to the maximum recognition probability as a target category.

Abstract: A training method for a human body attribute detection model includes: acquiring positive sample sub-images and negative sample sub-images respectively corresponding to a plurality of human body attribute categories; determining a plurality of first annotation attributes respectively corresponding to the plurality of positive sample sub-images; and a plurality of second annotation attributes respectively corresponding to the plurality of negative sample sub-images; and training an artificial intelligence model according to the plurality of positive sample sub-images, the plurality of negative sample sub-images, the plurality of first annotation attributes and the plurality of second annotation attributes to obtain the human body attribute detection model, so that the human body attribute detection model obtained by training can effectively model fine-grained attributes of the human body.

Abstract: An isolated converter with high boost ration includes a transformer, a first bridge arm, a second bridge arm, and a boost circuit. The transformer includes a secondary side having a secondary side first node and a secondary side second node. The first bridge arm includes a first diode and a second diode. The second bridge arm includes a third diode and a fourth diode. The boost circuit includes at least one fifth diode coupled between the first bridge arm and the secondary side second node, at least one sixth diode coupled between the second bridge arm and the secondary side first node, and at least two capacitors coupled to the secondary side first node and the secondary side second node.

Abstract: Various embodiments include a method for product quality inspection on a group of products. The method may include: getting for each product in the group of products: image, value for each known fabrication parameter affecting quality of the group of products, and quality evaluation result; training a neural network. A layer of the neural network comprises at least one first neuron and at least one second neuron; each first neuron represents a known fabrication parameter affecting quality of the group of products and each second neuron represents an unknown fabrication parameter affecting quality of the group of products; and the images of the group of products are input to the neural network, the quality evaluation results are output of the neural network, and the value of each first neuron is set to the value for the known fabrication parameter the first neuron representing.

Abstract: A communication method and a sidelink device. The method includes: determining, by a first sidelink device, first indication information and first sidelink resource information; and sending, by the first sidelink device, the first indication information and the first sidelink resource information to a second sidelink device, where the first indication information indicates that the first sidelink resource information includes auxiliary information, and the auxiliary information is used to assist the second sidelink device in resource selection. After receiving the first indication information and the auxiliary information, the second sidelink device can learn about a surrounding related resource status, such as channel measurement information of a resource pool, and a resource occupation status of another communication device with which the second sidelink device cannot directly communicate. The second sidelink device may perform resource selection based on the auxiliary information.

Abstract: The present invention provides novel compounds having the general formula: wherein R1 to R11 are as described herein, compositions including the compounds and methods of using the compounds.

Abstract: Apparatuses, systems, and techniques to perform a matrix multiplication using parallel processing. In at least one embodiment, a matrix multiplication is divided into a set of tiles, with each tile processed with a prolog task, a calculation task, and an epilog task. The prolog tasks are performed by a dedicated set of threads, with the remaining tasks performed in an interleaved manner using two or more thread groups.

Abstract: This application relates to a target object detection method and apparatus, a non-transitory computer-readable storage medium, and a computer device. The method includes: obtaining a to-be-detected image; inputting the to-be-detected image into a target object detection model; generating, by the target object detection model, a prediction diagram corresponding to the to-be-detected image, the prediction diagram describing a relation degree to which pixels of the to-be-detected image belong to a target detection object; and performing region segmentation on the prediction diagram to obtain a target detection object region. In addition, a method and an apparatus for training an object detection model into the target object detection model, a non-transitory computer-readable storage medium, and a computer device are also provided.

Abstract: The disclosure discloses a method for video frame interpolation. The method includes: obtaining a first visual semantic feature and first pixel information of a first frame, and obtaining a second visual semantic feature and second pixel information of a second frame; generating semantic optical flow information based on the first visual semantic feature and the second visual semantic feature; generating pixel optical flow information based on the first pixel information and the second pixel information; and generating an interpolation frame between the first frame and the second frame based on the semantic optical flow information and the pixel optical flow information, and interpolating the interpolation frame between the first frame and the second frame.