Abstract: Disclosed is a strain calculation method and system for phase-sensitive optical coherence elastography (PhS-OCE), including the following steps: obtaining interference spectra for various states during sample deformation, and extracting spectral information including multiple amplitude maps and multiple phase maps from these interference spectra. In the present disclosure, the speckle decorrelation phenomenon in PhS-OCE can be eliminated, the measurement range is expanded, and tangential displacement fields and strain fields can be measured by PhS-OCE technique while ensuring high axial sensitivity in strain measurement.

Abstract: The present invention discloses a decoupling divide-and-conquer facial nerve segmentation method and device. As for the characteristics of a small facial nerve structure and a low contrast, a facial nerve segmentation model including a feature extraction module, a rough segmentation module, and a fine segmentation module is constructed. The feature extraction module is configured to extract a low-level feature and a plurality of different- and high-level features. The rough segmentation module is configured to globally search the different- and high-level features for facial-nerve features and fuse them. The fine segmentation module is configured to decouple a fused feature to obtain a central body feature. After the central body feature is combined with the low-level feature to obtain an edge-detail feature, a space attention mechanism is used to extract attention features from the central body feature and the edge-detail feature, to obtain a facial nerve segmentation image.

Abstract: Motherboard and method of forming display base units are provided. The motherboard has a first area and a second area surrounding the first area. The motherboard includes a substrate; a plurality of display base units arranged at intervals on the substrate in the first area; and a protection line on the substrate. The protection line includes an outer line in the second area around an outer periphery of the first area, and an inner line in the first area.

Abstract: A high-strength and low-chroma polyether ether ketone and a preparation method therefor. The method comprises the following steps: subjecting a first polymerized monomer and a second polymerized monomer to a nucleophilic polycondensation reaction in an inert aprotic solvent in the presence of alkali carbonate under the pressure of 0.15 MPa to 1.0 MPa in an inert atmosphere to obtain the polyetheretherketone. The reaction time can be shortened, the reaction temperature can be lowered, and energy and cost can be reduced; moreover, the impact strength of the polymer is improved and the color is brighter and whiter.

Abstract: The present invention belongs to the technical field of computer vision, and proposes a lightweight real-time emotion analysis method incorporating eye tracking. In the method, gray frames and event frames that have synchronized time are acquired through event-based cameras and respectively input to a frame branch and an event branch; the frame branch extracts spatial features by convolution operations, and the event branch extracts temporal features through conv-SNN blocks; the frame branch has a guide attention mechanism for the event branch; and the spatial features and the temporal features are integrated by fully connected layers, The final output is the average of the n fully connected layer outputs, which represents the final expression. The method can recognize the emotional expression of any stage in various complex light changing scenarios; and in the case of limited accuracy loss, the emotion recognition time is shortened to achieve “real-time” user emotion analysis.

Abstract: Disclosed are a system, method, and computer program product for user network activity anomaly detection. The method includes generating a multilayer graph from network resource data, and generating an adjacency matrix associated with each layer of the multilayer graph to produce a plurality of adjacency matrices. The method further includes assigning a weight to each adjacency matrix to produce a plurality of weights, and generating a merged single layer graph by merging the plurality of layers based on a weighted sum of the plurality of adjacency matrices using the plurality of weights. The method further includes generating a set of anomaly scores by generating, for each node in the merged single layer graph, an anomaly score. The method further includes determining a set of anomalous users based on the set of anomaly scores, detecting fraudulent network activity based on the set of anomalous users, and executing a fraud mitigation process.

Abstract: In general, the disclosure describes techniques for joint spatiotemporal Artificial Intelligence (AI) models that can encompass multiple space and time resolutions through self-supervised learning. In an example, a method includes for each of a plurality of multimodal data, generating, by a computing system, using a first machine learning model, a respective modality feature vector representative of content of the multimodal data, wherein each of the generated modality feature vectors has a different modality; processing, by the computing system, each of generated modality feature vectors with a second machine learning model comprising an encoder model to generate event data comprising a plurality of events and/or activities of interest; and analyzing, by the computing system, the event data to generate anomaly data indicative of detected anomalies in the multimodal data.

Abstract: The present invention discloses a decoupling divide-and-conquer facial nerve segmentation method and device. As for the characteristics of a small facial nerve structure and a low contrast, a facial nerve segmentation model including a feature extraction module, a rough segmentation module, and a fine segmentation module is constructed. The feature extraction module is configured to extract a low-level feature and a plurality of different-and high-level features. The rough segmentation module is configured to globally search the different-and high-level features for facial-nerve features and fuse them. The fine segmentation module is configured to decouple a fused feature to obtain a central body feature. After the central body feature is combined with the low-level feature to obtain an edge-detail feature, a space attention mechanism is used to extract attention features from the central body feature and the edge-detail feature, to obtain a facial nerve segmentation image.

Abstract: The present invention provides an electrically conductive adhesive composition comprising (A) at least one non-toughened epoxy resin, (B) optionally at least one toughened epoxy resin, (C) at least one imidazole compound, (D) at least one latent amine curing agent other than imidazole compound, (E) at least one silver filler having a D50 particle size of no more than 20 ?m, and (F) at least one silver filler having a D50 particle size of from 20 to 100 ?m.

Abstract: A method for obstacle avoidance in degraded environments of robots based on intrinsic plasticity of an SNN is disclosed. A decision network in a synaptic autonomous learning module takes lidar data, distance from a target point and velocity at a previous moment as state input, and outputs the velocity of left and right wheels of the robot through the autonomous adjustment of the dynamic energy-time threshold, so as to carry out autonomous perception and decision making. The method solves the difficulty of the lack of intrinsic plasticity in the SNN, which leads to the difficulty of adapting to degraded environments due to the homeostasis imbalance of the model, is successfully deployed in mobile robots to maintain a stable trigger rate for autonomous navigation and obstacle avoidance in degraded, disturbed and noisy environments, and has validity and applicability on different degraded scenes.

Abstract: Provided are a display panel, a preparation method thereof, and a display apparatus. The display panel includes a display region and a fan-out wire region. The display region includes multiple data lines. The fan-out wire region includes multiple fan-out wires. A fan-out wire of the multiple fan-out wires is electrically connected to a respective data line of the multiple data lines. The fan-out wires include multiple first fan-out wires and multiple second fan-out wires. A second fan-out wire is located on a side of a first fan-out wire facing away from a substrate. The first fan-out wire includes a first main portion and a first edge portion. The second fan-out wire includes a second main portion and a second edge portion. At least one first main portion does not overlap at least one second main portion.

Abstract: Systems and methods are provided for calculating, using an electronic processor, an average environmental brightness and determining a current pulse width modulation (“PWM”) output level provided to the light source. The method also includes determining, using the electronic processor, a target illumination level and a PWM adjustment rate. The PWM adjustment rate is based at least partially on the calculated average environmental brightness. The method also includes adjusting, using the electronic processor, the current PWM output level at the determined PWM adjustment rate to reach the target illumination level, and transmitting the adjusted PWM output level to the light source. The target illumination level is determined as a function of the current PWM output level and an output mode of the light source.

Abstract: Disclosed are a system, method, and computer program product for user network activity anomaly detection. The method includes generating a multilayer graph from network resource data, and generating an adjacency matrix associated with each layer of the multilayer graph to produce a plurality of adjacency matrices. The method further includes assigning a weight to each adjacency matrix to produce a plurality of weights, and generating a merged single layer graph by merging the plurality of layers based on a weighted sum of the plurality of adjacency matrices using the plurality of weights. The method further includes generating a set of anomaly scores by generating, for each node in the merged single layer graph, an anomaly score. The method further includes determining a set of anomalous users based on the set of anomaly scores, detecting fraudulent network activity based on the set of anomalous users, and executing a fraud mitigation process.

Abstract: A display panel and manufacturing method thereof, and a display device. The display region includes first wire and second wire. The non-display region includes third wire and fourth wire. The first wire includes first-type first wire, first-type first wire including first sub wire and second sub wire spaced apart between third wire and fourth wire. The second wire includes first-type second wire; third wire includes first repair line. The fourth wire includes second repair line, and the first sub wire and second sub wire are electrically connected to second repair line through first repair line and first-type second wire. The first wire includes second-type first wire, and second-type first wire is continuous between third wire and fourth wire; second wire includes second-type second wire, second-type second wire transmitting first common signal.

Abstract: Described are a system, method, and computer program product for user network activity anomaly detection. The method includes receiving network resource data associated with network resource activity of a plurality of users and generating a plurality of layers of a multilayer graph from the network resource data. Each layer of the plurality of layers may include a plurality of nodes, which are associated with users, connected by a plurality of edges, which are representative of node interdependency. The method also includes generating a plurality of adjacency matrices from the plurality of layers and generating a merged single layer graph based on a weighted sum of the plurality of adjacency matrices. The method further includes generating anomaly scores for each node in the merged single layer graph and determining a set of anomalous users based on the anomaly scores.

Abstract: A method for obstacle avoidance in degraded environments of robots based on intrinsic plasticity of an SNN is disclosed. A decision network in a synaptic autonomous learning module takes lidar data, distance from a target point and velocity at a previous moment as state input, and outputs the velocity of left and right wheels of the robot through the autonomous adjustment of the dynamic energy-time threshold, so as to carry out autonomous perception and decision making. The method solves the difficulty of the lack of intrinsic plasticity in the SNN, which leads to the difficulty of adapting to degraded environments due to the homeostasis imbalance of the model, is successfully deployed in mobile robots to maintain a stable trigger rate for autonomous navigation and obstacle avoidance in degraded, disturbed and noisy environments, and has validity and applicability on different degraded scenes.

Abstract: Disclosed is a taxpayer industry classification method based on label-noise learning, which comprises the following steps: extracting text information to be mined from taxpayer industry information for text embedding, and performing feature processing on the embedded information; extracting, non-text information from the taxpayer industry information for encoding; constructing a BERT-CNN deep network structure, a number of neurons and the dimensionality of input and output in each layer and the number of target categories; pre-training the network constructed in the previous step through contrastive learning, nearest neighbor semantic clustering and self-labeling learning in turn; adding, a noise modeling layer on the basis of the constructed deep network, modeling label noise distribution through network self-trust and noisy label information, and performing model training; taking the deep network before the noise modeling layer as a classification model, and classifying taxpayer industries.

Abstract: A message right management method, and a device and storage medium for implementing the method, are provided. The message right management method includes obtaining a message created by a source user, and sending a message notification to a target user in a social platform. The method further includes verifying the target user when receiving a request for logging onto a message page from the target user, and controlling logon of the target user to the message page on the basis of a verification result. The method further includes, when receiving a service request of the target user with respect to the message, determining, based on a message right control policy, whether the target user has a right corresponding to a service requested by the service request, and controlling a response to the service request according to a determining result.

Abstract: Described are a system, method, and computer program product for user network activity anomaly detection. The method includes receiving network resource data associated with network resource activity of a plurality of users and generating a plurality of layers of a multilayer graph from the network resource data. Each layer of the plurality of layers may include a plurality of nodes, which are associated with users, connected by a plurality of edges, which are representative of node interdependency. The method also includes generating a plurality of adjacency matrices from the plurality of layers and generating a merged single layer graph based on a weighted sum of the plurality of adjacency matrices. The method further includes generating anomaly scores for each node in the merged single layer graph and determining a set of anomalous users based on the anomaly scores.

Abstract: This application relates to the technical field of speakers and discloses a speaker assembly. The sound-raising assembly includes a first housing, the first housing forms a cavity. The sound assembly includes a cavity, a diaphragm and an armature member, a perimeter of the diaphragm is connected to an inner wall of the cavity, and a side of the diaphragm is provided with a voice coil, the voice coil for driving the vibration of the diaphragm. The armature member is set relative to the cavity and is located on the side of the diaphragm where the voice coil is set. The present application could improve the sound quality of the speaker.