Abstract: The present invention provides a rechargeable lithium-ion battery with an in situ thermally-curable electrolyte. The thermally-curable electrolyte is cured from the thermally-curable electrolyte precursor solution including a first crosslinking agent, a second crosslinking agent, an initiator, an electrolyte solvent, an electrolyte salt, one or more electrolyte additives, and one or more monomers or a monomer polymerization product. The viscosity of the thermally-curable electrolyte precursor solution is below 200 cps such that the thermally-curable electrolyte precursor solution is infiltrated within the separator and the pores inside the cathode and anode layers then cured to form porous separator and porous electrodes fully permeated with a solid electrolyte.

Abstract: Embodiments of the present disclosure provide a method, an apparatus and a device for generating entity relationship data, and a storage medium. The method includes: obtaining webpage source data corresponding to a target webpage; identifying at least one key value block from the webpage source data, wherein the key value block comprises at least one key value pair; identifying body values corresponding to the at least one key value block from the webpage source data; and generating entity relationship data corresponding to the target webpage according to the key value blocks and the body values corresponding to the key value blocks. With the technical solution the present disclosure, the webpage universality may be improved, labor cost may be reduced, and output quantity of the entity relationship data may be increased.

Abstract: A self-priming starting device for a centrifugal pump is mounted on a water inlet pipe of the centrifugal pump and includes an outer housing, an inner housing, a primary spacer, a secondary spacer, an opening and closing disc and a tertiary spacer which are sequentially provided in the outer housing from top to bottom, and an elastic steel plate provided in the water inlet pipe. A drum is provided in the inner housing, and air inlet pipes and air discharging pipes are provided on the inner housing. The drum is provided with drum chambers and a three-blade support is provided in the drum. The opening and closing disc is provided with a vertical rod. A gas-liquid cutter is provided between the primary spacer and the secondary spacer. The primary spacer, the secondary spacer, the opening and closing disc and the tertiary spacer are provided with through-holes.

Abstract: The present invention provides an energy absorbing foam material includes at least one shape memory polymer foam having a non-impact resistant configuration in a first force-application time, an impact resistant configuration in a second force-application time at a working temperature, a first glass transition temperature equal to or lower than a working temperature in the first force-application time, and a second glass transition temperature higher than a working temperature in the second force-application time. A second elastic modulus of the shape memory polymer foam in the second force-application time is at least 10 times than a first elastic modulus of the shape memory polymer form in the first force-application time at the working temperature.

Abstract: A method and apparatus for pushing information, a device and a storage medium are provided. An implementation of the method may include: acquiring a user identifier of a target user; in response to determining that the user identifier satisfies a preset condition, acquiring a work intention of the target user; determining target information according to the user identifier, the work intention and a pre-established knowledge graph; and pushing the target information to the target user.

Abstract: The present disclosure provides a search method and device based on artificial intelligence and an electronic device. The search method based on artificial intelligence includes: obtaining a query; performing a word segmentation on the query to obtain a term sequence containing a plurality of terms; performing a structured analysis on the term sequence to generate a semantic pattern; performing a knowledge-based analysis on the term sequence based on the semantic pattern to generate a semantic analysis result; determining an understanding result corresponding to the query based on the semantic pattern and the semantic analysis result; and performing a search based on the understanding result corresponding to the query.

Abstract: Technical solutions for video event recognition relate to the fields of knowledge graphs, deep learning and computer vision. A video event graph is constructed, and each event in the video event graph includes: M argument roles of the event and respective arguments of the argument roles, with M being a positive integer greater than one. For a to-be-recognized video, respective arguments of the M argument roles of a to-be-recognized event corresponding to the video are acquired. According to the arguments acquired, an event is selected from the video event graph as a recognized event corresponding to the video.

Abstract: Disclosed are examples for printing a one-dimensional (1D) nanomaterial for use in stretchable electronic devices. An ink comprising a nanomaterial solution is dispersed from a pneumatic dispensing system of a printing device. The 1D nanomaterial is printed in a predefined pattern on an underlying substrate positioned on a ground electrode. A voltage is applied between the printing nozzle and the ground electrode to cause the ink to form into a cone during the printing. The substrate can be modified to increase the wettability of the substrate to enhance adhesion of the ink to the substrate.

Abstract: A method for training a multivariate relationship generation model, an electronic device and a medium are provided. The technical solution includes: obtaining a plurality of knowledge text entries; performing semantic parsing on each knowledge text entry to obtain a plurality of entities and semantic information of each knowledge text entry; constructing a heterogeneous graph based on the plurality of entities and the semantic information; and training an initial artificial intelligence (AI) network model based on the heterogeneous graph to obtain a multivariate relationship generation model.

Abstract: An electronic device and a power module are provided. The power module includes a power housing; a circuit board, connected to the power housing and arranged with a plurality of pads on a surface of the circuit board facing the power housing; an electronic component, arranged on the circuit board and comprising a plurality of pins; wherein the plurality of pins are soldered and connected to the plurality of pads; and a first sealant layer, arranged on the surface of the circuit board facing the power housing, and covering the plurality of pins and the plurality of pads.

Abstract: The invention relates to multi-component shape memory threads, fibers, tubes, or tapes, which includes at least two shape-memory polymeric (SMP-N) components. Each of the at least two SMP-N components is of at least 1% of the total weight, and N is a positive integer starting from 1, and the SMP-N components have a selectively engineered shape recovery temperature (Tr) between approximately 0° C. to 130° C. Also, when TrN and TrN+1 are higher than room temperature, the threads, fibers, tubes, or tapes are configured to assume a substantially helical configuration upon heating to above TrN and lower than TrN+1 by a stimulus when an elongation of the threads, fibers, tubes, or tapes is approximately 30% to approximately 300%, and having a coil diameter from 0.5 to 10 mm and a number of the turns per cm from 5 to 30.

Abstract: The present disclosure provides an information recommendation method, which relates to a field of knowledge graph. The method includes: acquiring request information; extracting a request entity word representing an entity from the request information; determining recommendation information based on the request entity word and a pre-constructed knowledge graph; and pushing the recommendation information, wherein the knowledge graph is constructed based on a text, and the knowledge graph indicates a first word representing a source of the text. The present disclosure further provides an information recommendation apparatus, an electronic device and a computer-readable storage medium.

Abstract: A method, apparatus, device, and storage medium for linking an entity, relates to the technical fields of knowledge graph and deep learning are provided. The method may include: acquiring a target text; determining at least one entity mention included in the target text and a candidate entity corresponding to each entity mention; determining an embedding vector of each candidate entity based on the each candidate entity and a preset entity embedding vector determination model; determining context semantic information of the target text based on the target text and each embedding vector; determining type information of the at least one entity mention; and determining an entity linking result of the at least one entity mention, based on the each embedding vector, the context semantic information, and each type information.

Abstract: The present disclosure provides a control operating method and an electronic apparatus. The method includes: multiple menu items are exposed around a menu control when a click operation on the menu control is detected (S102); and when a click operation and/or a sliding operation on the menu control are/is detected again, switching among the exposed multiple menu items is carried out when a click operation and/or a sliding operation on the menu control are/is detected again (S104).

Abstract: A method, apparatus, device, and storage medium for constructing a knowledge graph, relates to the field of data processing, and specifically to artificial intelligence technology is provided. The method may include: determining a scene and a scene element of the scene; determining a target tag from attribute tags based on an association relationship between an entity and the scene element, and an association relationship between the entity and each of the attribute tags; and establishing an edge between a scene node and a target tag node, to obtain a knowledge graph including scene information.

Abstract: The present disclosure provides a method, a device, an equipment and a storage medium for mining a topic concept. The method includes: acquiring a plurality of candidate topic concepts based on a query; performing word segmentation on the plurality of candidate topic concepts and performing part-of-speech tagging on words obtained after performing the word segmentation, to obtain a part-of-speech sequence of each of the plurality of candidate topic concepts; and filtering the plurality of candidate topic concepts based on the part-of-speech sequence, to filter out a topic concept corresponding to a target part-of-speech sequence among the plurality of candidate topic concepts, in which a proportion of accurate topic concepts in the target part-of-speech sequence is lower than or equal to a first preset threshold, or a proportion of inaccurate topic concepts in the target part-of-speech sequence is higher than or equal to a second preset threshold.

Abstract: Multi-functional electronic textiles employing nanocomposite pattern elements and related methods are provided. An exemplary method for producing a textile product with an integrated electrical device includes applying conductive nanowires to a substrate to form a conductive nanowire network on the substrate and applying a thermoplastic elastomer to the nanowire network to form a nanocomposite layer on top of the substrate. The method also includes cutting the nanocomposite layer into a desired pattern to form an electrical device and transferring the electrical device from the substrate onto a textile fabric.

Abstract: Provided are a method, an apparatus and an electronic device for determining a knowledge sample data set, the method includes: acquiring a preset number of SPO triplet formats and source texts; acquiring, according to the SPO triplet formats, n SPO entries corresponding to the SPO triplet formats; searching, in the source texts, m first texts that match the n SPO entries, and generating a first knowledge sample data set; determining k second texts that meet the SPO triplet formats from the m first texts and generating a second knowledge sample data set; generating a target knowledge sample data set according to the first knowledge sample data set and the second knowledge sample data set. In the embodiments, the knowledge sample data set is automatically generated, the volume generation speed is fast, the cost is low, and the data size that can be produced is large, thus meeting the training requirement.

Abstract: The present disclosure discloses a question analysis method, a device, a knowledge base question answering system and an electronic equipment. The method includes: analyzing a question to obtain N linearized sequences, N being an integer greater than 1; converting the N linearized sequences into N network topology maps; separately calculating a semantic matching degree of each of the N network topology maps to the question; and selecting a network topology map having a highest semantic matching degree to the question as a query graph of the question from the N network topology maps. According to the technology of the present disclosure, the query graph of the question can be obtained more accurately, and the accuracy of the question to the query graph is improved, thereby improving the accuracy of question analysis.

Abstract: An example apparatus for detecting objects in video frames includes a receiver to receive a plurality of video frames from a video camera. The apparatus also includes a first still image object detector to receive a first frame of the plurality of video frames and calculate localization information and confidence information for each potential object patch in the first frame. The apparatus further includes a second still image object detector to receive an adjacent frame of the plurality of video frames adjacent to the first frame and calculate localization information and confidence information for each potential object patch in the adjacent frame. The apparatus includes a similarity detector trained to detect paired patches between the first frame and the adjacent frame based on a comparison of the detected potential object patches.