Abstract: An infrared image sequence-based sleep quality evaluation system and method. The method comprises: obtaining a plurality of respiratory infrared image sequences to be evaluated, one respiratory infrared image sequence comprising a plurality of respiratory infrared image frames to be evaluated; performing sleep quality evaluation on each respiratory infrared image sequence in the plurality of respiratory infrared image sequences by means of a classifier to obtain a sleep quality evaluation result corresponding to each respiratory infrared image sequence; and counting the number of different sleep quality evaluation results according to the sleep quality evaluation results respectively corresponding to the plurality of respiratory infrared image sequences, and determining the sleep quality evaluation result with the largest number as a sleep quality evaluation result of a user.

Abstract: A method and a system for generating a dynamic addictive neural circuit based on weakly supervised contrastive learning are disclosed. The method includes: based on a convolutional neural network, reducing a dimensionality of voxels of multiple groups of fMRI to attributes of brain region nodes, and generating multiple groups of dynamic brain connection maps containing time series based on the attributes of the brain region nodes; extracting spatio-temporal features of brain connections in the dynamic brain connection maps; inputting the spatio-temporal features into an abnormal connection detection network, calculating an abnormal probability of brain connections based on contrastive learning, and obtaining the brain connection with a highest abnormal probability at each time point; and generating the dynamic addictive neural circuit based on neuroscientific prior knowledge and the brain connection with the greatest probability of abnormality.

Abstract: Disclosed by the present application are an image enhancement method and apparatus, a terminal device and a computer-readable storage medium.

Abstract: A diaphragm for a miniature sound generating device, wherein the diaphragm is made of a polyacrylate copolymer, a plasticizer is mixed in the polyacrylate copolymer, the polyacrylate copolymer is 100 parts by mass, and the plasticizer comprises at least one of aliphatic dibasic acid esters, phthalic acid esters, benzene polyacid esters, benzoic ethers, polyol esters, chlorinated hydrocarbons, epoxides, citrate esters and polyesters. The diaphragm possesses excellent sound performance.

Abstract: The present application is applicable to the field of medical imaging technologies, and provides an image-driven brain atlas construction method and apparatus, a device and a storage medium. The method includes: acquiring multi-modal data of a brain to be predicted, where the multi-modal data is acquired according to image data collected when the brain is under at least three different modalities; inputting the multi-modal data into a preset fusion network for processing to output and acquire feature parameters of the brain; where the processing of the multi-modal data by the fusion network includes: extracting a non-Euclidean spacial feature and an Euclidean spacial feature of the multi-modal data, and performing hypergraph fusion on the non-Euclidean spacial feature and the Euclidean spacial feature to acquire the feature parameters, where the feature parameters are used to characterize a brain connection matrix and/or a disease category of the brain.

Abstract: The present application is suitable for use in the technical field of computers, and provides a smart diagnosis assistance method and terminal based on medical images, comprising: acquiring a medical image to be classified; pre-processing the medical image to be classified to obtain a pre-processed image; and inputting the pre-processed image into a trained classification model for classification processing to obtain a classification type corresponding to the pre-processed image, the classification model comprising tensorized network layers and a second-order pooling module. As the trained classification model comprises tensor decomposed network layers and a second-order pooling module, when processing images on the basis of the classification model, more discriminative features related to pathologies can be extracted, increasing the accuracy of medical image classification.

Abstract: A diaphragm applied to a sound producing device, a sound producing device, and a method for assembling the same. The diaphragm comprises a film layer prepared by means of a crosslinking reaction of at least one of an ethylene-acrylate copolymer and an ethylene-acrylate-carboxylic acid copolymer. The molecular structure of the diaphragm comprises a vinyl-acrylic group. The group causes the material to have a less symmetrical chemical structure, a reduced tacticity and an increased steric hindrance, such that the diaphragm has a high loss factor, and the sound producing device achieves a good damping effect.

Abstract: The present disclosure provides a vibrating diaphragm of a sound-producing apparatus and the sound-producing apparatus. The vibrating diaphragm includes a fluorosilicone rubber film layer, and the fluorosilicone rubber includes a linear polymer composed of a silica main chain and a side chain radical; a molecular structure of the polymer including a unit with the side chain radical with vinyl is a methyl vinyl siloxane unit, and a unit with the side chain radical with R1 is a fluorine-containing siloxane unit; and wherein n and m are natural numbers, and R1 comprises at least one of fluoroalkyl and fluoroaryl.

Abstract: Disclosed are a vibrating diaphragm of a sound-producing apparatus and the sound-producing apparatus. The vibrating diaphragm includes a polyurethane rubber film layer and the polyurethane rubber film layer includes a block polymer formed by soft segment portions and hard segment portions that are arranged alternately, wherein each of the soft segment portions includes polyhydric alcohol and each of the hard segment portions includes isocyanate and a chain extender, and the polyurethane rubber is represented by a structural formula as follows: wherein R is the chain extender, R1 is polyhydric alcohol and n is a natural number. (FIG. 6).

Abstract: The present application provides an image-driven brain atlas construction method and apparatus, a device and a storage medium, and involves in the field of medical imaging technologies. The method includes: acquiring a node feature matrix, where the node feature matrix includes time sequences of multiple nodes of a brain; performing hypergraph data structure transformation on the node feature matrix to acquire a first hypergraph incidence matrix; inputting the first hypergraph incidence matrix and the node feature matrix into a trained hypergraph transition matrix generator for processing to output and acquire a first hypergraph transition matrix, where the first hypergraph transition matrix characterizes a constructed multi-modal brain atlas. The technical solution provided by the present application can construct the multi-modal brain atlas, and this multi-modal brain connection structure can express more feature information.

Abstract: The present disclosure relates to an enhanced generative adversarial network and a target sample recognition method. The enhanced generative adversarial network in the present disclosure includes at least one enhanced generator and at least one enhanced discriminator, where the enhanced generator obtains generated data by processing initial data, and provides the generated data to the enhanced discriminator; the enhanced discriminator processes the generated data and feeds back a classification result to the enhanced generator; the enhanced discriminator includes: a convolution layer, a basic capsule layer, a convolution capsule layer, and a classification capsule layer, and the convolution layer, the basic capsule layer, the convolution capsule layer, and the classification capsule layer are sequentially connected to each other.

Abstract: This application discloses a route advertisement method and a related device. To reduce IP address resources and reduce configuration and maintenance costs of a network device, it is not required that all network devices in a network enable an IPV4/IPv6 dual-stack function, and the network device in the network may enable only an IPV4 or IPv6 single-stack function to bear IPv4 and IPv6 services. A route advertisement packet advertised by the network device and used to advertise an IPv4 route can include routing information corresponding to an IPV6 address, or a route advertisement packet used to advertise an IPV6 route can include routing information corresponding to an IPv4 address.

Abstract: A visualization method for evaluating brain addiction traits, an apparatus, and a computer-readable storage medium are provided. The method includes the following. A visualization processing request is received from a client, where the visual processing request contains an image to-be-processed. The image to-be-processed is masked to obtain a perturbation image masked. The perturbation image is classified with a visualization processing model to obtain a classification result, and the classification result is calculated to obtain an evaluation value of the perturbation image, where the evaluation value of the perturbation image is less than an evaluation value of the image to-be-processed without masking. The visualization evaluation result is determined according to the evaluation value of the perturbation image. The visualization evaluation result is sent to the client.

Abstract: An image feature visualization method and apparatus, and an electronic device during model training, inputs the real training data with positive samples into a mapping generator to obtain fictitious training data with negative samples. The mapping generator includes a mapping module configured to learn a key feature map that distinguishes the real training data with positive samples/negative samples, and the fictitious training data with negative samples is generated based on the real training data with positive samples and the key feature map. The training data with negative samples is input into a discriminator to obtain a discrimination result. An optimizer optimizes the mapping generator and the discriminator until training is completed. During model application, a target image that is to be processed is input into the mapping generator, and the mapper in the mapping generator extracts features of the target image.

Abstract: Disclosed are a vibrating diaphragm of a sound-producing apparatus and the sound-producing apparatus. The vibrating diaphragm includes a polyurethane rubber film layer and the polyurethane rubber film layer includes a block polymer formed by soft segment portions and hard segment portions that are arranged alternately, wherein each of the soft segment portions includes polyhydric alcohol and each of the hard segment portions includes isocyanate and a chain extender, and the polyurethane rubber is represented by a structural formula as follows: wherein R is the chain extender, R1 is polyhydric alcohol and n is a natural number. (FIG.

Abstract: The present application provides an image-driven brain atlas construction method and apparatus, a device and a storage medium, and involves in the field of medical imaging technologies. The method includes: acquiring a node feature matrix, where the node feature matrix includes time sequences of multiple nodes of a brain; performing hypergraph data structure transformation on the node feature matrix to acquire a first hypergraph incidence matrix; inputting the first hypergraph incidence matrix and the node feature matrix into a trained hypergraph transition matrix generator for processing to output and acquire a first hypergraph transition matrix, where the first hypergraph transition matrix characterizes a constructed multi-modal brain atlas. The technical solution provided by the present application can construct the multi-modal brain atlas, and this multi-modal brain connection structure can express more feature information.

Abstract: A method and a device for a three-dimensional reconstruction of brain structure, and terminal equipment. The method includes steps of: obtaining a 2D image of a brain, inputting the 2D image of the brain into a 3D brain point-cloud reconstruction model that has been trained to be processed, and outputting a 3D point-cloud of the brain. The 3D brain point-cloud reconstruction model includes a ResNet encoder and a graphic convolutional neural network. The ResNet encoder is configured to extract a coding feature vector of the 2D image of the brain, and the graphic convolutional neural network is configured to construct the 3D point-cloud of the brain according to the coding feature vector.

Abstract: The present application is applicable to the field of medical imaging technologies, and provides an image-driven brain atlas construction method and apparatus, a device and a storage medium. The method includes: acquiring multi-modal data of a brain to be predicted, where the multi-modal data is acquired according to image data collected when the brain is under at least three different modalities; inputting the multi-modal data into a preset fusion network for processing to output and acquire feature parameters of the brain; where the processing of the multi-modal data by the fusion network includes: extracting a non-Euclidean spacial feature and an Euclidean spacial feature of the multi-modal data, and performing hypergraph fusion on the non-Euclidean spacial feature and the Euclidean spacial feature to acquire the feature parameters, where the feature parameters are used to characterize a brain connection matrix and/or a disease category of the brain.

Abstract: Disclosed are a diaphragm for a sound generating device and a sound generating device. The diaphragm comprising at least one elastomer layer, wherein the elastomer layer is made of an ethylene propylene diene monomer; and the ethylene propylene diene monomer is formed by polymerizing three monomers, the three monomers being an ethylene monomer, a propylene monomer and a non-conjugated diene monomer respectively, a mass ratio of the ethylene monomer to the propylene monomer ranging from 0.25 to 4, and content of the non-conjugated diene monomer being 1%-15% of total content of the ethylene monomer and the propylene monomer. The ethylene propylene diene monomer has excellent high-temperature resistance and thermo-oxidative aging resistance; and after the rubber is made into the diaphragm, the diaphragm is capable of working in a high-temperature environment for a long time, maintaining not only excellent elasticity but also excellent anti-fatigue characteristic, thereby possessing excellent reliability.

Abstract: A four-terminal-pair AC quantum resistance dissemination bridge and related methods are provided. The bridge includes: a supply transformer IVD1, a Kelvin branch A1, a Wagner branch A0, the first and second current sources A2, A3, an injection inductive voltage divider A4, a ratio transformer IVD2, the first and second four-terminal AC resistor connection points Z1, Z2, chokes H, and null indicators D. An isolated inductive winding LO is wound along the ratio transformer IVD2 and supplies excitation current to primary winding of injection inductive voltage divider A4 to avoid the mutual influence among various balance networks and rapid balance of the bridge can be realized. By changing turn ratio of primary winding L3 and secondary winding L4 of the second inductive voltage divider T2, the phase shift can be realized through only one set of capacitors for imaginary part error compensation, the bridge with multiple frequency points can be obtained.