Abstract: Provided are a motor for an electric toothbrush and an electric toothbrush having the same. The motor includes a housing and at least one pair of rotor iron core groups fixed within the housing, wherein each rotor iron core group is formed by stacking a plurality of rotor iron cores, each of the plurality of rotor iron cores includes an iron core main body portion and an iron core convex portion protruding outwards from the periphery of the iron core main body portion; and at least one pair of rotor iron core groups are inserted into two axially extending iron core brackets, and the two iron core brackets are each provided with a clamping groove, with the clamping grooves having openings opposite to each other.

Abstract: The present disclosure provides a production process of a flexible printed circuit encapsulation structure, includes: a FPC overmolding step: processing the FPC board body and the FPC molding tape into an integrated structure to make the FPC board body and the FPC molding tape fit closely each other; a support body assembly step: assembling two connector assemblies on two ends of the elastic support body respectively; a main body assembly step: assembling a combination obtained by the FPC overmolding step and a combination obtained by the support body assembly step; and a soft rubber overmolding step: performing overmolding on an exterior of an overall structure obtained by assembling the FPC plate body, the FPC molding tape, the elastic support body and the two connector assemblies to form the soft rubber jacket. The present disclosure can meet the requirements of larger deformation amplitude, and high deformation frequency.

Abstract: A term weight determination method includes: obtaining a video and video-associated text, the video-associated text including at least one term; generating a halfway vector of the term by performing multimodal feature fusion on the features of the video, the video-associated text and the at least one term; and generating the weight of the at least one term based on the halfway vector of the at least one term.

Abstract: The present disclosure relates to display apparatuses and methods for manufacturing the display apparatuses. One example display apparatus includes an array substrate and a laminated structure. The array substrate includes a substrate and an array layer located on a side of the substrate. The laminated structure is located on a side that is of the array layer and that is opposite to the substrate, and includes a first film layer and a second film layer. The first film layer is located on a side that is of the second film layer and that is opposite to the substrate, and is formed by a high modulus material. An elastic modulus of the high modulus material is E1, and 50 Mpa?E1?5 Gpa. The second film layer is formed by a modified energy absorption impact resistance material has viscosity and shear thickening behavior.

Abstract: A linear showerhead for growing GaN, including a first gas base, a second gas base, and a third gas base. First central gas passages are disposed in the middle of the first gas base. A first gap is disposed between two adjacent first central gas passages. A first nozzle is disposed at the bottom of a first central gas passage. The second gas base is disposed on the first gas base. Second central gas passages are disposed in the middle of the second gas base. A second gap is disposed between two adjacent second central gas passages. Two sides of a second central gas passage are provided with a second nozzle. The third gas base includes third central gas passages. A third central gas passage penetrates a first gap and a second gap. A third nozzle is disposed at the bottom of a third central gas passage.

Abstract: Embodiments of this specification provide a ticket processing method and apparatus. The ticket processing method includes: obtaining a business payment bill obtained after an institution member makes a business payment, and storing the business payment bill in a member account of the institution member; synchronizing the business payment bill from the member account to a co-managed account that is of an institution to which the institution member belongs and that is associated with the member account, to add the business payment bill to a bill list in the co-managed account; obtaining, based on a ticket addition request submitted by the institution member for the business payment bill, a ticket associated with the business payment bill; and returning the ticket to the co-managed account based on an account association relationship between the member account and the co-managed account, to associate the ticket with the business payment bill in the bill list.

Abstract: The present application relates to the field of intelligent home appliance technologies, and discloses a method for determining target parameters of a polarizer, including: obtaining light parameters of a display lamp which will use a polarizer and a target visual effect; and simulating a light effect of the polarizer by a debugging system and determining the target parameters of the polarizer by adjusting the light effect, such that a superposition visual effect of the polarizer under the target parameters and the display lamp is matched with the target visual effect. In the present application, the target parameters of the polarizer can be accurately determined by the debugging system, thus facilitating manufacture of the polarizer meeting visual requirements, avoiding repeated debugging and manufacturing operations, and saving time and cost.

Abstract: Provided are a payment method, an electronic device and a non-transitory computer-readable storage medium, the payment method is applied to the electronic device. The electronic device includes a first processor and a second processor. The first processor is configured to run a first system, and the second processor is configured to run a second system, where power consumption of the second processor is lower than power consumption of the first processor. The electronic device is in a second system state in which running of the electronic device is controlled under the second system. The method includes: sending, by the second system, a payment instruction to a first system; receiving a payment graphic code that is generated and returned by the first system according to the payment instruction; and making, by the second system, a payment through the received payment graphic code. (FIG.

Abstract: An inter-processor communication method, an electronic assembly, and an electronic device are provided. The electronic device at least includes a first core and a second core. A plurality of communication channels is defined between the first core and the second core. Each of the plurality of communication channels having a communication performance different from each other. The inter-processor communication method includes: acquiring to-be-transmitted data, the to-be-transmitted data is data transmitted between the first core and the second core; acquiring a corresponding communication channel corresponding to the to-be-transmitted data from the plurality of communication channels as a target communication channel; transmitting the to-be-transmitted data via the target communication channel.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.

Abstract: Provided are a motor for an electric toothbrush and an electric toothbrush having the same. The motor includes a housing and at least one pair of rotor iron core groups fixed within the housing, wherein each rotor iron core group is formed by stacking a plurality of rotor iron cores, each of the plurality of rotor iron cores includes an iron core main body portion and an iron core convex portion protruding outwards from the periphery of the iron core main body portion; and at least one pair of rotor iron core groups are inserted into two axially extending iron core brackets, and the two iron core brackets are each provided with a clamping groove, with the clamping grooves having openings opposite to each other.

Abstract: A term weight determination method includes: obtaining a video and video-associated text, the video-associated text including at least one term; generating a halfway vector of the term by performing multimodal feature fusion on the features of the video, the video-associated text and the at least one term; and generating the weight of the at least one term based on the halfway vector of the at least one term.

Abstract: A content processing method is disclosed, including: obtaining a description text of to-be-processed content and an image included in the to-be-processed content; performing feature extraction on the description text based on text semantics to obtain a text eigenvector; performing feature extraction on the image based on image semantics to obtain an image eigenvector; combining the text eigenvector with the image eigenvector to obtain an image-text multi-modal vector; and generating an estimated click-through rate of the to-be-processed content according to the image-text multi-modal vector.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.

Abstract: Embodiments of the present disclosure disclose a method, apparatus, device, and readable storage medium for image-based data processing. The method comprises: acquiring an image and a to-be-processed text; extracting features of a plurality of objects in the image, and extracting a feature of the text; fusing the features of the plurality of objects into a fused feature of the image based on a matching degree between the feature of the text and a feature of each object of the plurality of objects; and processing the text based on the fused feature of the image and the feature of the text. Embodiments of the present disclosure can accurately learn an association relationship between a text and each object in an image, and improve the processing accuracy.

Abstract: Embodiments of the present disclosure disclose a visual question answering model, an electronic device and a storage medium. The visual question answering model includes an image encoder and a text encoder. The text encoder is configured to perform pooling on a word vector sequence of a question text inputted, so as to extract a semantic representation vector of the question text; and the image encoder is configured to extract an image feature of a given image in combination with the semantic representation vector.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.

Abstract: Embodiments of the present disclosure disclose a method, apparatus, device, and readable storage medium for image-based data processing. The method comprises: acquiring an image and a to-be-processed text; extracting features of a plurality of objects in the image, and extracting a feature of the text; fusing the features of the plurality of objects into a fused feature of the image based on a matching degree between the feature of the text and a feature of each object of the plurality of objects; and processing the text based on the fused feature of the image and the feature of the text. Embodiments of the present disclosure can accurately learn an association relationship between a text and each object in an image, and improve the processing accuracy.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.