Abstract: The present disclosure provides an image based human-computer interaction method, which includes: acquiring a to-be-analyzed image, and determining image layout information and image content information of the to-be-analyzed image, where the to-be-analyzed image includes a variety of modal data, the image layout information represents distribution of image elements with preset granularity in the to-be-analyzed image, and the image content information represents a content expressed by the modal data in the to-be-analyzed image; and determining, in response to acquiring question information, response information corresponding to the question information according to the image layout information and the image content information, where the question information represents a question proposed by a user for the to-be-analyzed image, and the response information represents a reply answer corresponding to the question information.

Abstract: A trimmer and a trimmer head include an upper cover assembly being connected to and driven by a motor, wherein the upper cover assembly is configured to be removably connected to at least one of a first trimming assembly or a second trimming assembly selectively, and is provided with at least one connection hole in its side wall; the first trimming assembly is configured to include a first lower cover, a first cutting member, and a first base; the second trimming assembly is configured to include a second lower cover, a second cutting member, and a second base; wherein the first base is at least partially inserted into the connection hole when the first trimming assembly is mounted, and the second lower cover is at least partially inserted into the connection hole when the second trimming assembly is mounted.

Abstract: The disclosure provides a method for training a tag recommendation model. The method includes: collecting training materials that comprise interest tags in response to receiving an instruction for collecting training materials; obtaining training semantic vectors that comprise the interest tags by representing features of the training materials using a semantic enhanced representation frame; obtaining training encoding vectors by aggregating social networks into the training semantic vectors; and obtaining a tag recommendation model by training a double-layer neural network structure using the training encoding vectors as inputs and the interest tags as outputs. Therefore, the interest tags obtained in the disclosure are more accurate.

Abstract: An intelligent office system includes an application layer, an engine layer and a system layer. The application layer may be configured to create work cards for work tasks acquired from application systems, store each work card into the system layer by calling the engine layer; acquire changing information of each work card, and update each work card that has been stored in the system layer by calling the engine layer. In response to being called by the application layer, the engine layer sends the created work cards and the changing information of each work card to the system layer for storage and update. The system layer stores information of each work card.

Abstract: A vending machine comprises a shelf for holding goods; an automatic payment terminal connected to the shelf for receiving payment of selling the goods; and at least one biometric reader that is connected to the automatic payment terminal for performing electronic bill payment of the goods. A method of selling goods automatically comprises step of providing goods on a shelf of a vending machine; reading biometric data of a user in order to identify the user; processing payment of the user according to the biometric data; and releasing the goods after receiving the payment.

Abstract: A method for extracting information, includes: obtaining an information stream comprising text and an image; generating, according to the text, embedded representations of textual entity mentions and a textual similarity matrix of the textual entity mentions and candidate textual entities; generating, according to the image, embedded representations of image entity mentions and an image similarity matrix of the image entity mentions and candidate image entities; and determining, based on an optimal transport, target textual entities of the textual entity mentions and target image entities of the image entity mentions according to the embedded representations of the textual entity mentions, the embedded representations of the image entity mentions, the textual similarity matrix and the image similarity matrix.

Abstract: The disclosure provides a method for recognizing an entity, an electronic device and a storage medium. The method includes: obtaining message data to be processed; obtaining entity mention information by processing the message data to be processed according to a multi-pattern matching method; determining one or more candidate entities associated with the entity mention information and entity description information corresponding to the one or more candidate entities; and determining a target entity mentioned in the entity mention information according to the message data to be processed and the entity description information.

Abstract: The present utility mode provides a plant growth promotion device based on a multi-layered distributed system. The plant growth promotion device based on the multi-layered distributed system includes LED lights and supporting members that each extends along the direction in which plants are planted, multiple LED lights being placed at different heights towards the lower side of the supporting members and being supported by the supporting members, and the LED lights being placed along the direction in which the supporting members extend. The present utility model has the beneficial effects of low cost and high growth promotion efficiency.

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: An information searching method, an electronic device and a storage medium are provided, which are related to the field of deep learning and the like. The method includes: acquiring K related second-type-entity corresponding to a target first-type-entity from a relational map based on a search word related to the target first-type-entity; wherein K is an integer greater than or equal to 1; selecting M candidate second-type-entity from the K related second-type-entity based on data representing a relation between the K related second-type-entity and the target first-type-entity; wherein M is an integer greater than or equal to 1 and less than or equal to K; selecting N target second-type-entity from the M candidate second-type-entity as a search result; wherein N is an integer greater than or equal to 1 and less than or equal to M.

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 and apparatus for outputting information, a device and a storage medium are provided. An implementation of the method may include: acquiring knowledge data from at least one data source; acquiring information related to at least one user and a preset entity set; determining an entity, metadata of the entity and a relationship between entities, based on the related information, the knowledge data and the preset entity set; creating a knowledge graph based on the entity, the metadata and the relationship; and outputting the knowledge graph.

Abstract: A temperature-sensitive attenuated FMDV strain, construction method and applications thereof. The construction method of the temperature-sensitive attenuated FMDV strain is as follows. Mutating a cytosine on K region loop of IRES domain 4 of an FMDV genome to a guanine or an adenine to obtain the temperature-sensitive attenuated FMDV strain, or replacing a K region of IRES domain 4 of an FMDV genome with a K region of IRES domain 4 of a bovine rhinovirus genome to obtain the temperature-sensitive attenuated FMDV strain.

Abstract: A vending machine comprises a shelf for holding goods; an automatic payment terminal connected to the shelf for receiving payment of selling the goods; and at least one biometric reader that is connected to the automatic payment terminal for performing electronic bill payment of the goods. A method of selling goods automatically comprises step of providing goods on a shelf of a vending machine; reading biometric data of a user in order to identify the user; processing payment of the user according to the biometric data; and releasing the goods after receiving the payment.

Abstract: A temperature-sensitive attenuated FMDV strain, construction method and applications thereof. The construction method of the temperature-sensitive attenuated FMDV strain is as follows. Mutating a cytosine on K region loop of IRES domain 4 of an FMDV genome to a guanine or an adenine to obtain the temperature-sensitive attenuated FMDV strain, or replacing a K region of IRES domain 4 of an FMDV genome with a K region of IRES domain 4 of a bovine rhinovirus genome to obtain the temperature-sensitive attenuated FMDV strain.

Abstract: A modular jack (100) includes an insulative housing (2) and a terminal-receiving part (3) having a pair of terminals (4) therein received in the housing (2). The terminal-receiving part (3) includes a pair of through apertures (341) accommodating the terminals (4), a leading-wire notch (325) positioned behind the apertures (341) and a leading-wire space (324) communicating with the leading-wire notch (325). A hole (211) is defined in a corresponding side wall (21) of the housing (2). A pair of wires (344) connecting to leading-wire end (41) of the terminals (4) extends through the leading-wire notch (325) and leading-wire space (324) out of the hole (211) of the side wall (21) of the housing (2).

Abstract: An electrical connector (1) comprises a mating cavity (147) defining a front-to-back direction for mating and unmating, a supporting bracket (14) defined in the mating cavity, and a printed circuit board (20), the supporting bracket comprising a front portion (144), the front portion comprises a top surface, the printed circuit board secured to the supporting bracket and comprises a plurality of conductive pads (21, 22, 23) formed thereon, and wherein the top surface of the front portion is higher than the conductive pads of the printed circuit.

Abstract: An electrical connector (1) comprises a mating cavity (147) defining a front-to-back direction for mating and unmating, a supporting bracket (14) defined in the mating cavity, and a printed circuit board (20), the supporting bracket comprising a front portion (144), the front portion comprises a top surface, the printed circuit board secured to the supporting bracket and comprises a plurality of conductive pads (21, 22, 23) formed thereon, and wherein the top surface of the front portion is higher than the conductive pads of the printed circuit.

Abstract: A modular jack (100) includes an insulative housing (2) and a terminal-receiving part (3) having a pair of terminals (4) therein received in the housing (2). The terminal-receiving part (3) includes a pair of through apertures (341) accommodating the terminals (4), a leading-wire notch (325) positioned behind the apertures (341) and a leading-wire space (324) communicating with the leading-wire notch (325). A hole (211) is defined in a corresponding side wall (21) of the housing (2). A pair of wires (344) connecting to leading-wire end (41) of the terminals (4) extends through the leading-wire notch (325) and leading-wire space (324) out of the hole (211) of the side wall (21) of the housing (2).