Abstract: A cylinder assembly and a compressor having the cylinder assembly are provided. The cylinder assembly has a cylinder body, a valve assembly, a cylinder cover, a muffler, and a pressing cap. The valve assembly is arranged in the cylinder body. A sealing ring is arranged between the cylinder cover and the valve assembly. The muffler and the cylinder cover are integrally formed. The pressing cap is connected to the cylinder body. The cylinder cover is located between the cylinder body and the pressing cap, such that the pressing cap fixes the cylinder cover on the cylinder body.

Abstract: A microbial fermentation method for improving tobacco quality, comprising the following steps: (1) inoculating flue-cured tobacco as an inoculation source into a tobacco powder medium, and cultivating at 20-40° C. for 20-50 h; (2) inoculating microbial liquid in step (1) into a fresh tobacco powder medium, cultivating at 20-40° C. for 20-50 h, and circulating for 15-25 cycles to obtain stable flue-cured tobacco microbial flora; (3) inoculating the microbial flora obtained in step (2) into the fresh tobacco powder medium, and culturing at 20-40° C. for 20-50 h to obtain seed liquid of the microbial flora; (4) centrifuging the microbial liquid obtained in step (3) and collecting microbes; (5) washing the microbes collected in step (4); (6) resuspending the washed bacteria in step (5) to obtain a microbial suspension; and (7) spraying the microbial suspension in step (6) to the tobacco leaves for fermentation for 6-8 days.

Abstract: Embodiments of this specification provide a large language model-based knowledge mining method and apparatus. In the large language model-based knowledge mining method, structural knowledge for a source entity is obtained based on a predetermined entity graph; a candidate relation set is determined based on a target property of the source entity in the predetermined entity graph; a corresponding target relation set and inheritable knowledge are output by using a large language model and based on the structural knowledge, the candidate relation set, and additional knowledge for the source entity; a candidate entity word set corresponding to the provided relation is output by using the large language model and based on the source entity, the relation in the target relation set, and at least one of the structural knowledge, the additional knowledge, and the inheritable knowledge; and then an entity related to the source entity and a corresponding relation are obtained.

Abstract: A connecting structure, an exhaust silencer, a silencer and a compressor are provided. The connecting structure has a connecting housing and an exhaust pipe assembly. The connecting housing has a silencing chamber and a sealing portion. One end of the exhaust pipe assembly passes through the sealing portion and extends into the silencing chamber. Another end of the exhaust pipe assembly is arranged outside the connecting housing. Thus, the silencing chamber is in communication with an outside space of the connecting housing through the exhaust pipe assembly.

Abstract: A network connection method includes when a remote networking condition is met, sending a RPC operation request including a network interface function call number to a second electronic device, so that the second electronic device calls a network interface call function indicated by the network interface function call number, generates an RPC operation response according to response information of a network interface called by the network interface call function, and sends the RPC operation response to the first electronic device; receiving the RPC operation response sent by the second electronic device; and parsing the RPC operation response to obtain the response information of the network interface.

Abstract: A neighboring user node of a user node is selected by using an attention model, to determine a selective adjacency matrix of a relation network based on the selected neighboring user node. Then, a neighboring node representation is propagated to a corresponding user node based on a selective adjacency matrix by using a graph neural network, to obtain a user aggregation representation. A tapping behavior between a user and an object is fitted based on a similarity between the user aggregation representation and an object representation, to construct a prediction loss based on a difference between the tapping behavior and an existing tapping behavior, and update the attention model. The trained attention model can select a more reliable neighboring user.

Abstract: A microbial fermentation method for improving tobacco quality, comprising the following steps: (1) inoculating flue-cured tobacco as an inoculation source into a tobacco powder medium, and cultivating at 20-40° C. for 20-50 h; (2) inoculating microbial liquid in step (1) into a fresh tobacco powder medium, cultivating at 20-40° C. for 20-50 h, and circulating for 15-25 cycles to obtain stable flue-cured tobacco microbial flora; (3) inoculating the microbial flora obtained in step (2) into the fresh tobacco powder medium, and culturing at 20-40° C. for 20-50 h to obtain seed liquid of the microbial flora; (4) centrifuging the microbial liquid obtained in step (3) and collecting microbes; (5) washing the microbes collected in step (4); (6) resuspending the washed bacteria in step (5) to obtain a microbial suspension; and (7) spraying the microbial suspension in step (6) to the tobacco leaves for fermentation for 6-8 days.

Abstract: Implementations of the present specification provide a training method for a graph neural network, and relate to performing multiple rounds of iterative updating on a graph neural network based on a user relational graph, where any round of the multiple rounds includes: processing the user relational graph by using a current graph neural network, to obtain multiple classification prediction vectors corresponding to multiple user nodes in the user relational graph; allocating a corresponding pseudo classification label to a first quantity of unlabeled nodes in the multiple user nodes based on the multiple classification prediction vectors; determining, for each of the first quantity of unlabeled nodes, an information gain generated by training the current graph neural network by using the unlabeled node; and updating a model parameter in the current graph neural network according to a classification prediction vector and a real classification label that are corresponding to each labeled node in the multiple us

Abstract: A cylinder assembly and a compressor having the cylinder assembly are provided. The cylinder assembly has a cylinder body, a valve assembly, a cylinder cover, a muffler, and a pressing cap. The valve assembly is arranged in the cylinder body. A sealing ring is arranged between the cylinder cover and the valve assembly. The muffler and the cylinder cover are integrally formed. The pressing cap is connected to the cylinder body. The cylinder cover is located between the cylinder body and the pressing cap, such that the pressing cap fixes the cylinder cover on the cylinder body.

Abstract: A connecting structure, an exhaust silencer, a silencer and a compressor are provided. The connecting structure has a connecting housing and an exhaust pipe assembly. The connecting housing has a silencing chamber and a sealing portion. One end of the exhaust pipe assembly passes through the sealing portion and extends into the silencing chamber. Another end of the exhaust pipe assembly is arranged outside the connecting housing. Thus, the silencing chamber is in communication with an outside space of the connecting housing through the exhaust pipe assembly.

Abstract: A method and system for cooperative charging between an unmanned aerial vehicle and an unmanned surface vessel includes: using the unmanned aerial vehicle to capture an image of the unmanned surface vessel; analyzing the relative position of a capturing device and the velocity of the unmanned surface vessel; controlling the unmanned aerial vehicle to approach the capturing device, and making the unmanned aerial vehicle to hover at a certain height within the capture range; detecting whether the unmanned aerial vehicle is within the capture range and, if within the range, using the unmanned surface vessel to capture the unmanned aerial vehicle or using the unmanned aerial vehicle to re-capture an image of the unmanned surface vessel; using the capturing device to adjust the position of the unmanned aerial vehicle and performing wireless charging.

Abstract: A display substrate includes a rigid substrate, a flexible substrate, a pixel structure, and bonding terminals. The rigid substrate includes a portion corresponding to a display region of the display substrate. The flexible substrate is disposed on the rigid substrate, and includes a portion corresponding to the display region and a portion corresponding to a bonding region of the display substrate. The pixel structure is disposed in a region on the flexible substrate corresponding to the display region. The bonding terminals are disposed in a region one the flexible substrate corresponding to the bonding region. The portion of the flexible substrate corresponding to the bonding region is bendable.