Abstract: A display device includes a flexible display panel including a display part and a bonding part, the bonding part being located on the back side of the display part, and a side of the bonding part away from the display part being the bonding side, the driving chip being arranged on the bonding side of the bonding part, and having a first side and a second side opposite in the first direction, where the first direction is perpendicular to the thickness direction; a spacer being disposed on the bonding side of the bonding part, where the spacer is located on one side or both sides of the driving chip in the first direction, and a thickness of the spacer is greater than a thickness.

Abstract: A method for slice-based cell reselection includes: obtaining network slice information and slice-based cell reselection information; deriving a first priority frequency for slice-based cell reselection according to the network slice information and the slice-based cell reselection information; performing cell reselection on the first priority frequency for slice-based cell reselection; and identifying a suitable cell for camping on the first priority frequency for slice-based cell reselection.

Abstract: A method for cell reselection in a Space-Air-Ground Integrated Network, including: monitoring broadcast message, and obtaining coverage information of a serving cell and coverage information of a neighboring cell from the broadcast message, where the serving cell and the neighboring cell are non-terrestrial network cells or terrestrial network cells; determining, in response to determining that the serving cell is a non-terrestrial network cell, location relationship information between the terminal and the serving cell according to the coverage information of the serving cell, and initiating cell reselection measurement according to the location relationship information between the terminal and the serving cell; and, performing cell reselection according to a cell reselection measurement result.

Abstract: Co-cured blends of fluoroelastomers of tetrafluoroethylene-propylene copolymer with cure site monomer and a pentapolymer of vinylidene fluoride (VDF), hexafluoropropylene (HFP), tetrafluoroethylene (TFE), perfluorinated methyl vinyl ether (PMVE) and ethylene (PE) with peroxide as initiator and coagent TAIC as crosslinker show improved curing performance, improved mechanical properties and improved compression set as well. The co-cured fluoroelastomers show improved chemical resistance to the solvent aging systems and better retention of mechanical properties after aging at high temperature in the solvents system.

Abstract: A trusted anonymous voting method includes: performing a hash operation on original voting content to obtain a hash output including a commitment value cvi; blinding the commitment value cvi based on information of other voters to obtain commitment value tuples {tilde over (c)} and {tilde over (x)}; signing the commitment value tuple {tilde over (c)} by using an ESDSA to obtain a signature tuple {tilde over (s)}; and establishing a vote tuple ({tilde over (c)}, {tilde over (s)}, {tilde over (d)}) based on the commitment value tuple {tilde over (c)}, the signature tuple {tilde over (s)} and a signature tuple {acute over (d)} of other voters, and uploading the vote tuple (?, ?, {acute over (d)}) and the commitment value tuple {tilde over (x)} to the blockchain, where signature tuple {tilde over (d)} is generated in a case that other voters verify the signature tuple {tilde over (s)} and the signature tuple {tilde over (s)} passes the verification, and the commitment value tuple {tilde over (x)} is used to decry

Abstract: A display device includes a flexible display panel including a display part, a bonding part, and a substrate bending part connecting the display part and the bonding part, the bonding part being located on the back side of the display part, and a side of the bonding part away from the display part being the bonding side, the driving chip being arranged on the bonding side of the bonding part, and having a first side and a second side opposite in the first direction, where the first side is close to the substrate bending part, and the second side is distal to the substrate bending part, the first direction being perpendicular to the thickness direction; a main flexible circuit board, disposed on the second side of the driving chip and connected to the bonding side of the bonding part; a touch layer; and a control flexible circuit board.

Abstract: The patent application discloses a degradable thermoset composite. The composite comprises a reaction product of an epoxy resin mixture, a cross-linker, a catalyst. The epoxy resin mixture may comprise at least one aromatic epoxy resins having a glass transition temperature greater than or equal to 150° C. The reaction product may have a glass transition temperature greater than or equal to 110° C. as measured by DSC or DMA.

Abstract: The present disclosure relates to a display device. The display device includes a display panel having a display side and a non-display side opposite to the display side, a first conductive supporting portion located on the non-display side of the display panel, a second conductive supporting portion located on a side of the first conductive supporting portion away from the display panel, a bonding portion between the first conductive supporting portion and the second conductive supporting portion, and a conductive connecting portion for electrically connecting the first conductive supporting portion and the second conductive supporting portion.

Abstract: A method uses the nuclear spin singlet of three hydrogen atoms on the dopamine benzene ring to achieve selective detection of dopamine signals in a complicated system. The present invention is based on magnetic resonance technology to detect dopamine, has good accuracy, sensitivity and selectivity, can accurately detect the signal of dopamine from the complicated system, and the interference of signals of other substances are well eliminated. Meanwhile, the present invention further has the advantages of simple operation and non-intervention, can be used for monitoring the content and distribution of the dopamine in a living body, and has important application value in the fields of biology and medicine.

Abstract: A fixture for testing bending shifting of a flexible display module and a test method thereof are provided. The flexible display module includes a bending region and a first non-bending region and a second non-bending region located at two sides of the bending region, the flexible display module is bent through the bending region, and the first non-bending region or the second non-bending region has an under-screen opening; the fixture includes a first support plate and a second support plate rotatably connected, the first support plate is configured to be fixedly connected with the first non-bending region, and the second support plate is configured to be fixedly connected with the second non-bending region; the first support plate or the second support plate has a transparent region, and the transparent region is disposed for observation of shifting at the under-screen opening of the flexible display module in a bent state.

Abstract: The present invention discloses a WebGL-based replaceable model hybrid rendering display method, comprising the following steps: the cloud processing subsystem decomposes the original scene rendering image into a background rendering image and a 3D model of the default product, and generates a 3D model of the alternative product that replaces the default product, and stores and associate the background rendering image; the rendering engine of the terminal display subsystem loads the background rendering image based on the real-time rendering technology of WebGL, and dynamically loads and renders the 3D model of the default product or the 3D model of the selected alternative product on the background rendering image to form an image with collocation effect and display. The present invention also discloses a computer readable storage medium.

Abstract: The present application discloses a method and apparatus for training a semantic representation model, a device and a computer storage medium, which relates to the field of natural language processing technologies in artificial intelligence.

Abstract: Provided are a method and apparatus for operating a blockchain system, a device and a storage medium. The method is described below. To-be-processed blockchain data is acquired through a kernel engine of a blockchain system. The to-be-processed blockchain data is processed through the kernel engine, and a kernel component interface provided by a component adaptor is called during the processing process of the to-be-processed blockchain data to call a kernel component.

Abstract: The present disclosure provides a text processing method and apparatus, an electronic device and a storage medium, and relates to the field of artificial intelligence technologies such as deep learning and natural language processing. The method may include: configuring, for a to-be-processed text, attention patterns corresponding to heads in a Transformer model using a multi-head-attention mechanism respectively, wherein at least one head corresponds to a different attention pattern from the other N?1 heads, and N denotes a number of heads and is a positive integer greater than 1; and processing the text by using the Transformer model. Model performance and a corresponding text processing effect can be improved by using the solutions according to the present disclosure.

Abstract: Provided are a method and apparatus for operating a blockchain system, a device and a storage medium. The method is described below. To-be-processed blockchain data is acquired through a kernel engine of a blockchain system. The to-be-processed blockchain data is processed through the kernel engine, and a kernel component interface provided by a component adaptor is called during the processing process of the to-be-processed blockchain data to call a kernel component.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for determining a topic. A specific embodiment of the method comprises: determining a to-be-recognized sentence sequence; calculating similarities between the to-be-recognized sentence sequence and each of topic templates in a topic template set in a target area, the each of the topic templates in the topic template set corresponding to a topic in at least one topic in the target area, the topic template including a topic section sequence, and a topic section including a topic sentence sequence; and determining a topic of the to-be-recognized sentence sequence according to an associated parameter, the associated parameter including the similarities between the to-be-recognized sentence sequence and the each of the topic templates in the topic template set. This embodiment reduces labor costs during a topic segmentation.

Abstract: A pre-training method of a neural network model, an electronic device, and a medium. The pre-training data is inputted to the initial neural network model, and the initial neural network model is pre-trained in the first training mode, in the first training mode, the plurality of hidden layers share one hidden layer parameter, and the loss value of the initial neural network model is obtained, if the loss value of the initial neural network model is less than a preset threshold, the initial neural network model continues to be pre-trained in the second training mode, in the second training mode, each of the plurality of hidden layers has its own hidden layer parameter.

Abstract: The present application discloses a method and apparatus for training a semantic representation model, a device and a computer storage medium, which relates to the field of natural language processing technologies in artificial intelligence.

Abstract: The disclosure provides a method for training a semantic analysis model, an electronic device and a storage medium. The method includes: obtaining a plurality of training data, in which each of the plurality of training data comprises a search word, information on at least one text obtained by searching the search word, and at least one associated word corresponding to the at least one text; constructing a graph model based on the training data, and determining target training data from the plurality of training data by using the graph model, the target training data comprising search word samples, information samples and associated word samples; and training a semantic analysis model based on the search word samples, the information samples, and the associated word samples.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for determining a topic. A specific embodiment of the method comprises: determining a to-be-recognized sentence sequence; calculating similarities between the to-be-recognized sentence sequence and each of topic templates in a topic template set in a target area, the each of the topic templates in the topic template set corresponding to a topic in at least one topic in the target area, the topic template including a topic section sequence, and a topic section including a topic sentence sequence; and determining a topic of the to-be-recognized sentence sequence according to an associated parameter, the associated parameter including the similarities between the to-be-recognized sentence sequence and the each of the topic templates in the topic template set. This embodiment reduces labor costs during a topic segmentation.