Abstract: A refrigeration appliance has: a compartment, provided with a storage space applicable to accommodating articles to be cooled; an air duct module, applicable to forming an air duct in the compartment, and including an air duct main body applicable to defining the air duct, and an air duct cover installed to one side of the air duct main body facing the storage space; and a purification module, at least partially located in the air duct to purify gas flowing through the air duct. The air duct module is configured to allow the purification module to be installed to the air duct cover from one side of the air duct main body facing away from the air duct cover in a state where the air duct main body and the air duct cover are assembled with each other.

Abstract: The present application discloses an artificial intelligence request analysis method and apparatus and a device. The method of the embodiments of the present application includes: determining, by a first device, first information based on a first request of a second device, where a category of the first request includes an AI inference service request or a self-evolution request; determining, by the first device, an auxiliary device that completes the first request, where auxiliary device is a third device and/or a fourth device; and transferring, by the first device, the first information to the auxiliary device; where the third device is configured to provide a candidate AI model and model information of the candidate AI model, the fourth device is configured to split the first request into a target request and send the target request to a corresponding functional entity to assist in completing the first request.

Abstract: Provided is a method and system for converting trajectory coordinates of moving objects, including: capturing a video of moving objects by drone; extracting trajectory data of moving objects in pixel coordinate system; solving a representation of unit direction vector corresponding to target point in camera coordinate system in ECEF coordinate system based on location information of drone, attitude information of camera, and intrinsic parameter information of camera during capturing of each frame, and in combination with pixel coordinates of target point in pixel coordinate system, to obtain a representation of vector from ECEF origin to the target point; and, representing coordinates of target point in WGS84 coordinate system by using the representation of vector from the ECEF origin to the target point, and finally obtaining the coordinates of target point in WGS84 coordinate system based on target point altitude is the same as altitude at which the drone takes off.

Abstract: A fixture and a construction method suitable for installation and uninstallation of large steel structures are provided. The fixture has a limit adapter component used to support and fix steel structures, a spherical sliding device connected with the limit adapter component, a locking device provided with an arc-shaped groove, an inclined strut whose two ends are hinged with the locking device and the spherical sliding device respectively, a jacking mechanism installed at the bottom of the locking device, and a gasket adjustment unit located outside the jacking mechanism and abutted with the bottom of the locking device.

Abstract: The present invention relates to a solid precipitation apparatus and a solid precipitation process, wherein said apparatus and said process, particularly when used for the desalination of a high-salinity wastewater, can meet the requirement of stable operation for a long period, can realize efficient removal of salts from the wastewater, and solve the problems of difficult desalination of high-salinity wastewater, easy blockage, and the like. The solid precipitation apparatus comprises a housing, an inlet for a stream, a discharging outlet, and a support disposed in an inner chamber of said housing, wherein the configuration of said support is suitable for a solid substance to be deposited and loaded thereon.

Abstract: Provided are a recombinant expression vector for whooping cough antigens, an engineered bacterium and use thereof. The recombinant expression vector for whooping cough antigens comprises a protein expression cassette for pertactin, a gene for resistance screening, and an upstream recombinant nucleic acid fragment and a downstream recombinant nucleic acid fragment of filamentous haemagglutinin gene, wherein the protein expression cassette for pertactin is located between the upstream recombinant nucleic acid fragment and the downstream recombinant nucleic acid fragment of the filamentous haemagglutinin gene, and the upstream recombinant nucleic acid fragment and the downstream recombinant nucleic acid fragment of the filamentous haemagglutinin gene can undergo homologous recombination with the upstream and downstream of the filamentous haemagglutinin gene, respectively.

Abstract: An automated platform for inoculating a variety of receptacles with biological samples for testing and analysis. The lab automation system includes a plurality of modules used to automate the inoculation of media for subsequent analysis. In this regard, the lab automation system has one module to enter specimen/‘order information and store an inventory of petri dishes. Another module is used to label the sample receptacles with a unique identifier that associates the receptacles with the sample. Yet another module includes a robot for retrieving sample and inoculating the receptacles. The sample inoculation module also includes an apparatus that will receive slides, inoculate those slides, and further process the slides for analysis.

Abstract: Provided are a verification method and apparatus and a device. The verification method includes: obtaining, by a first device, a verification requirement and a trigger condition for a result of AI model inference, and determining, based on the verification requirement, a verification result corresponding to the model inference result, where the verification requirement indicates a requirement for verifying at least one dimension of data of the model inference result; and sending target information to a second device in a case that the verification result satisfies the trigger condition, where the target information indicates the verification result.

Abstract: This application discloses a sample determining method and apparatus, and a device. The sample determining method includes: receiving, by a first device, first information sent by a target device; and determining, by the first device based on an inference result of a target inference model and the time-varying parameter information, a training sample used for training the target inference model. The first information includes time-varying parameter information and Artificial Intelligence (AI) model attribute information. The time-varying parameter information is used for indicating randomness of a communication behavior. The target inference model is an inference model corresponding to the AI model attribute information.

Abstract: This application discloses an information feedback method and apparatus, and a device. The information feedback method in embodiments of this application includes: receiving, by a first device, requirement information sent by a second device, where the requirement information is used to indicate a requirement corresponding to an artificial intelligence AI service; and sending, by the first device, feedback information of the requirement information to the second device, where the feedback information is used to indicate whether to agree with a requirement corresponding to the requirement information.

Abstract: The teachings of the present disclosure include information processing methods. Some embodiments include: constructing a knowledge graph of a target physical world; constructing a control chart of the target physical world; and adding annotation information to each function block in the control chart, and establishing one-to-one mapping between function blocks and entities in the knowledge graph, to establish mapping between the control chart and the knowledge graph.

Abstract: A cell handover method includes receiving, by user equipment (UE), a measurement reporting configuration sent by a network-side device, where the measurement reporting configuration includes at least one of the following artificial intelligence (AI) model related information, AI model input information, AI model output information, an AI model inference trigger condition, a cell handover event related configuration, reporting content expected by the network-side device, total duration of an AI model prediction output, the number or interval of time points of the AI model prediction output, or first indication information. The first indication information is used to indicate whether the UE triggers measurement reporting based on a prediction result of an AI model; and performing, by the UE, AI model inference on at least one handover candidate cell based on the measurement reporting configuration to obtain an inference result, and performing a cell handover based on the inference result.

Abstract: A method includes displaying a list interface including a first container prop that contains a first pet virtual character and a second container prop that does not contain a pet virtual character. The method further includes, in response to a touch selection operation corresponding to selecting one of the first container prop or the second container prop, displaying an aiming interface corresponding to the selected one of the first container prop or the second container prop and displaying an aiming sight. The method further includes, in response to a touch aiming operation on the aiming interface, adjusting a position of the displayed aiming sight. The method further includes, when the first container prop is selected, displaying throwing the first pet virtual character in response to a touch throwing operation, and when the second container prop is selected, displaying throwing the second container prop in response to the touch throwing operation.

Abstract: Various teachings of the present disclosure include an application program construction method. An example may include: determining a plurality of functional modules constituting an application program; attaching a pre-configured communication component to each functional module; establishing a connection relationship between the functional modules by using the communication components; and storing the connection relationship in a configuration file.

Abstract: Disclosed are a gene panel for molecular subtyping and assessing the survival risk of colorectal cancer, and use of agents for detecting the expression levels of the genes in the gene panel in the manufacture of a product, the product being used for determining the molecular subtype of colorectal cancer and assessing the survival risk of a patient with colorectal cancer; the product comprises a Next-Generation Sequencing (NGS) detection kit, a fluorescence quantitative PCR detection kit, a gene chip, and a protein chip. Also disclosed is a method for using the detection kit to molecular subtype and assess the survival risk of colorectal cancer.

Abstract: The teachings of the present disclosure include information processing methods. Some embodiments include: constructing a knowledge graph of a target physical world; constructing a control chart of the target physical world; and adding annotation information to each function block in the control chart, and establishing one-to-one mapping between function blocks and entities in the knowledge graph, to establish mapping between the control chart and the knowledge graph.

Abstract: A machine learning (ML) controller and method for systems that can learn to stabilize them based on measurements of an unstable system. This allows for training on a system not yet controlled and for continuous learning as the stabilizer operates. The controller has improved performance on unstable systems compared to similar technologies, especially complex ones with many inputs and outputs. Furthermore, there is no need for modelling the physics, and the controller can adapt to un-analyzed or partially analyzed systems.

Abstract: Various embodiments include a software module deployment method comprising: acquiring a self-description file of at least one edge device with a management device, the self-description file at least describing a software running environment and hardware resource information of the edge device; deploying a software module mirror image on a suitable edge device and establishing a connection relationship between different software module instances deployed on the edge device; automatically allocating, with the management device, a port number to be used when communication is actually performed to each software module instance deployed on the edge device; and generating a configuration file according to the software module instance deployed on each edge device, the connection relationship between different software module instances on the edge device, and the port number.

Abstract: A hot-standby redundancy control system is disclosed. In an embodiment, the system includes multiple primary control apparatuses, each respectively running a process of the hot-standby redundancy control system; a backup control apparatus pool including at least one industrial personal computer (IPC), with multiple virtual control apparatuses being established on at least one IPC, and the multiple virtual control apparatuses established being in one-to-one correspondence with the multiple primary control apparatuses, and each respective multiple virtual control apparatus running a same process as a respective corresponding primary control apparatus; a control bus, to connect one or more of the t least one IPC in the multiple primary control apparatuses and the backup control apparatus pool; and a field bus, to connect one or more of the at least one IPC in the multiple primary control apparatuses and the backup control apparatus pool and multiple field apparatuses.