Abstract: A battery separator and a preparation method therefor, and a secondary battery, relating to the technical field of battery separators. The battery separator comprises: a base film; and an inorganic coating provided on at least one surface of the base film. A contact ratio k of inorganic particles to the base film in the longitudinal section of the battery separator is 15-90%; and the relationship among the contact ratio k, air permeability A1 of the base film and air permeability A2 of the coating per unit thickness meets: A1×k?A2. The separator is improved to a certain extent in peel strength, puncture strength and air permeability, and the battery separator with both safety and high ion permeability is provided.

Abstract: A method includes performing a fabrication process that fabricates a wafer having an upper region and unit areas arranged in rows along a first direction and columns along an orthogonal second direction and respective scribe streets between adjacent unit areas to: form first and second electrical components on or in the upper region in respective unit areas or scribe streets, the first and second electrical components spaced apart from one another and including structural features with different respective first and second spacing distances along the first direction.

Abstract: A method for determining a scanning protocol in medical imaging and a medical imaging system are provided. The method includes determining a scanning protocol based on at least two of the following: occlusion information of key points on an examined subject, connection status information between a coil covering the surface of the examined subject and a medical scanning device, and orientation information of the examined subject. The scanning protocol is used by the medical scanning device to scan the examined subject, and the method further includes notifying the scanning protocol. This approach eliminates the need to manually load the scanning protocol, simplifying the scanning process and improving scanning efficiency.

Abstract: Methods, systems, and computer program products for universal depth graph neural networks may obtain a graph G including an adjacency matrix A and an attribute matrix X and train a graph convolutional network using according to the following updating Equation: H=?(?dXW), where H is an output embedding matrix, ?(?) is a nonlinear activation function, ? is a filter, X is an attribute matrix, W is a trainable weight matrix, and d is a trainable depth parameter.

Abstract: A real-time radiometric correction method and an apparatus for spectral reflectance are provided. The method includes: obtaining photosynthetically active irradiance measured by a photosynthetically active radiation sensor, where the photosynthetically active radiation sensor includes a cosine corrector; obtaining photosynthetically active irradiance of a target band based on a proportional relationship between the photosynthetically active irradiance and downwelling solar irradiance within a same wavelength range, where the target band is any band in a spectral band obtained by an imaging hyperspectral sensor, and an imaging time point of the imaging hyperspectral sensor is synchronized with a measurement time point of the photosynthetically active radiation sensor; and performing weighted adjustment on the photosynthetically active irradiance of the target band to obtain corrected target irradiance of the target band.

Abstract: A vacuum switching valve and a suction system having the same. The vacuum switching valve comprises: a valve body, comprising a first end and a second end, the second end being provided with an air inlet, an air outlet and a through hole; a valve element movably arranged in the valve body; a cylinder, the cylinder being connected to the first end and the valve element, the cylinder drives the valve element to move in the valve body, to close or open the air inlet; a stopper passing through the through hole, the stopper comprising a third end and a fourth end, the third end being connected to the valve element, the fourth end being located on the side of the through hole away from the valve element.

Abstract: A system for identifying movers in an independent cart system includes movers having at least one magnet and sensors generating a feedback signal responsive to detecting a magnetic field from the magnet as each mover travels past the sensor. A memory stores an identifier and a corresponding digital fingerprint for each mover. The stored digital fingerprint is generated as a function of the magnetic field generated by the magnet on each mover. A controller receives the feedback signal from each sensor and determines a run-time digital fingerprint for each mover corresponding to the magnetic field generated by the magnet on each mover as a function of the feedback signal. The run-time digital fingerprint is matched to one of the stored digital fingerprints, and the identifier, corresponding to the stored digital fingerprint matching the run-time fingerprint, is read from memory.

Abstract: An image processing method and apparatus may be provided. The process may include, obtaining source compressed texture data of a target image by encoding the target image by using a source compressed texture format and determining a target compressed texture format adapted to the display card and a target compressed block size corresponding to the target compressed texture format. The process may also include obtaining a plurality of pieces of image texture data, based on decoding and aligning the source compressed texture data by using the target compressed block size, and obtaining target compressed texture data of the target image, based on transcoding each piece of the plurality of pieces of image texture data by using the target compressed texture format and the target compressed block size. The process may also include rendering the target image based on the target compressed texture data.

Abstract: Active semiconductor devices in an integrated circuit are provided lateral electrical isolation by surrounding narrow deep trench isolation regions that are merged at shared portions of the narrow deep trench isolation regions. A wide deep trench isolation region laterally surrounds the merged narrow deep trench isolation regions.

Abstract: Provided are computer-implemented methods for generating embeddings for objects which may include receiving heterogeneous network data associated with a plurality of objects in a heterogeneous network; selecting at least one pattern of objects; determining instances of each pattern of objects based on the heterogeneous network data; generating a pattern matrix for each pattern of objects based on the instances of the pattern of objects; generating pattern sequence data associated with a portion of each pattern matrix; generating network sequence data associated with a portion of the heterogeneous network data; and combining the pattern sequence data and the network sequence data into combined sequence data. In some non-limiting embodiments or aspects, methods may include generating a vector for each object of the plurality of objects based on the combined sequence data. Systems and computer program products are also provided.

Abstract: Provided are methods for enhancing a distribution of graph feature embeddings in an embedding space to improve discrimination of graph features by a graph neural network (GNN) that may include receiving a dataset comprising graph data associated with a graph, calculating a distance between a first set of node embeddings and a second set of node embeddings, determining a measure of uniformity for the dataset, determining a plurality of groups of node embeddings, determining a measure of alignment for the plurality of groups of node embeddings, generating a set of graph features based on the measure of uniformity, the measure of alignment, and the distance, and training the GNN based on the set of graph features to provide a trained GNN. Systems and computer program products are also disclosed.

Abstract: A speaker includes a frame, a magnetic circuit system with a magnetic gap, and a vibration system, the vibration system includes a diaphragm assembly, a voice coil assembly, a first elastic wave assembly fixed, and a second elastic wave assembly, the diaphragm assembly includes a dome, a suspension, and a connecting wall extending from the dome to the voice coil assembly, the connecting wall includes a connecting portion connected with the dome the suspension, and a first suspension portion and a second suspension portion located at a side away from the dome, one end of the first elastic wave assembly away from the frame is connected with the first suspension portion, one end of the second elastic wave assembly away from the frame is connected with the second suspension portion. Compared with the related art, the speaker disclosed by the present disclosure could improve space utilization.

Abstract: A developing cartridge includes a casing configured to accommodate developer and having a first side and a second side oppositely arranged in a first direction, and a third side and a fourth side oppositely arranged in the second direction, the first direction and the second direction being intersected with each other. The developing cartridge further includes a developing roller, positioned at the third side, for rotating around a first axis extending in the first direction; a coupling, positioned at the first side, for receiving driving-force output from an image forming device to rotate; a driving surface, inclined to the first direction, including a first driving surface and a second driving surface; a detected part, at least partially positioned at the second side, for moving according to rotation of the coupling.

Abstract: The disclosure relates to the technical field of static synchronous reactive power compensation devices, provides an updating and optimization system for a static synchronous reactive power compensation device. The first module sets multiple contamination detection points on the static synchronous reactive power compensation device, and constructs multiple updating and optimization contamination data chains according to contamination data. The second module constructs a related contamination data set according to the related contamination data, and calculates the sub-update optimization influence coefficients. The third module analyzes and calculates the remaining related pollution data, and constructs sub-update optimization influence coefficient sets. The fourth module sorts the sub-update optimization influence coefficient sets, determines the comprehensive updating optimization influence coefficient set, and calculates the comprehensive updating optimization influence coefficient.

Abstract: System, methods, and other embodiments described herein relate to implementing cooperative management strategies. In one embodiment, a method includes determining a severity score and a risk area. The method may then determine whether vehicles should belong to a first vehicle set, which may perform a cooperative vehicle response action, or a second vehicle set, in which individual response actions may be performed. The method may then generate a cooperative response action or an individual response action corresponding to the cooperative or individual vehicle sets, provided such vehicle sets are not empty.

Abstract: Methods, systems, and computer program products for universal depth graph neural networks may obtain a graph G including an adjacency matrix A and an attribute matrix X and train a graph convolutional network using according to the following updating Equation: H=?(?dXW), where H is an output embedding matrix, ?(·) is a nonlinear activation function, ? is a filter, X is an attribute matrix, W is a trainable weight matrix, and d is a trainable depth parameter.

Abstract: Methods, systems, and computer program products for knowledge graph based embedding, explainability, and/or multi-task learning may connect task-specific inductive models with knowledge graph completion and enrichment processes.

Abstract: Described are a method, system, and computer program product for generating robust graph neural networks using universal adversarial training. The method includes receiving a graph neural network (GNN) model and a bipartite graph including an adjacency matrix, initializing model parameters of the GNN model, initializing perturbation parameters, and sampling a subgraph of a complementary graph based on the bipartite graph. The method further includes repeating until convergence of the model parameters: drawing a random variable from a uniform distribution; generating a universal perturbation matrix based on the subgraph, the random variable, and the perturbation parameters; determining Bayesian Personalized Ranking (BPR) loss by inputting the bipartite graph and the universal perturbation matrix to the GNN model; updating the perturbation parameters based on stochastic gradient ascent; and updating the model parameters based on stochastic gradient descent.

Abstract: A method and system for determining an access score is disclosed. The method includes receiving an access request to access a resource by a user device. Next, a user embedding is retrieved from an embedding table, the user embedding associated with a user identifier of the user device and providing a multidimensional data point that represents a context of a user identifier. The context may correspond to the user identifier appearing in previous access requests within temporal proximity to other access requests from a subset of other user devices among a plurality of user devices. The method then inputs the user embedding into a first machine learning model that is trained based at least in part on the embedding table. The first machine learning model subsequently outputs an access score that corresponds to a level of authenticity of authorizing the user device to access the resource.

Abstract: Provided in the present disclosure are a method and an apparatus for controlling a source driver, and a display system.