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: This application discloses an AI model information transmission method and apparatus and a device, and pertains to the field of communication technologies. The AI model information transmission method in embodiments of this application includes: sending, by a first communication device, first AI model information to a second communication device, where the first AI model information is used to indicate a first AI model and/or related information of the first AI model, and the first AI model is an AI model stored in UE; where the first communication device is the UE, a source cell in a handover for the UE, or a historical access cell in an RRC resume procedure of the UE, and the second communication device is a communication peer end of the UE, a target cell in the handover for the UE, or a new access cell in the RRC resume procedure of the UE.

Abstract: An information processing method, a network-side device, and a non-transitory computer-readable storage medium are provided. The information processing method includes receiving, by a first network node, first information reported by a terminal. The first information indicates a Secondary Cell Group (SCG) radio link failure. The SCG radio link failure includes a Conditional Primary secondary cell Addition (CPA) failure or a Conditional Primary secondary cell Change (CPC) failure. The information processing method further includes optimizing a first configuration by the first network node based on the first information. The first configuration includes any one of the following: a random access resource configuration, a CPA configuration, or a CPC configuration.

Abstract: This application pertains to the field of communication technologies, and discloses a sidelink positioning method and apparatus, a terminal, a server, and a radio access network device. The sidelink positioning method in embodiments of this application includes: receiving, by a first terminal, a configuration message from a radio access network device, where the configuration message is used to configure N sets of SL positioning reference signal configurations, and N is a positive integer greater than 1; determining, by the first terminal, a target SL positioning reference signal configuration in the N sets of SL positioning reference signal configurations; and sending, by the first terminal, an SL positioning reference signal based on the target SL positioning reference signal configuration.

Abstract: A positioning configuration information request method and a terminal are provided. The positioning configuration information request method includes: transmitting, by a target terminal, a first request to a first network side device. The first request is used for requesting the first network side device to configure first Positioning Reference Signal (PRS) configuration information or a first PRS transmission resource. The first PRS configuration information or the first PRS transmission resource is used for Sidelink positioning. The positioning configuration information request method further includes receiving, by the target terminal, a first response from the first network side device. The first response includes the first PRS configuration information or the first PRS transmission resource.

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: The present invention provides a JAK inhibitor having high oral bioavailability, characterized in that the JAK inhibitor includes: a Formula I compound, or a stereoisomer, geometric isomer, tautomer, hydrate, solvate, or pharmaceutically acceptable salt thereof as an active ingredient. The JAK inhibitor with high oral bioavailability provided by the present invention can overcome the problem that existing JAK inhibitors have low oral bioavailability, and involves further modifying a chemical compound so as to change the physicochemical characteristics of one or several small molecule compounds, thus increasing the in-vivo cell absorption performance of said compound(s), greatly improving the bioavailability of the medication and providing new possibilities for drug delivery and utilization for said compound medication.

Abstract: This application belongs to the field of communication technologies, and discloses a sensing method, a sensing apparatus, and a communication device. The method in an embodiment of this application includes: performing, by a first terminal, sensing measurement to obtain a sensing measurement result, where the first terminal is a terminal in an idle state or an inactive state; and reporting, by the first terminal, the sensing measurement result.

Abstract: A positioning method and apparatus, and a related device are provided. The method includes: obtaining first target information by a first network device, and initiating a positioning procedure based on the first target information by the first network device. The positioning procedure includes at least one of the following: sending at least one of a Measurement Gap (MG) configuration or MG activation information to a second network device or a terminal; sending a Positioning Reference Signal (PRS) processing window configuration to the second network device or the terminal; or sending target indication information to the second network device or the terminal. The target indication information indicates information related to PRS measurement of the terminal.

Abstract: A method for implementing a sensing service includes obtaining, by a first access network device, sensing indication information related to a terminal, where the first access network device is an access network device serving the terminal; receiving, by the first access network device, a sensing measurement request message. The sensing measurement request message is a non-terminal associated message; and determining, by the first access network device according to the sensing indication information, a terminal used for executing a sensing task.

Abstract: This application discloses a cell reselection method and apparatus, and a related device. The method includes: inputting, by a terminal, target information into an artificial intelligence (AI) model, to obtain an output result, where the target information includes information about a camped cell of the terminal and information about a neighbor cell of the terminal, and the output result includes information about the terminal to be reselected to the neighbor cell; and determining, by the terminal based on the output result, whether to be reselected to the neighbor cell.

Abstract: This application discloses a communication method and apparatus, a terminal, and a network device. The communication method includes: inputting, by a terminal, target information into an artificial intelligence (AI) model to obtain an output result, where the target information includes information of a service cell of the terminal and information of a neighboring cell, and the output result includes information about the terminal being handed over, being redirected, or reestablishing a connection to the neighboring cell; and determining, by the terminal based on the output result, whether to be handed over, be redirected, or reestablish a connection to the neighboring cell.

Abstract: This application discloses an uplink positioning reference signal SRS configuration method and apparatus, and a network-side device. The uplink positioning SRS configuration method of embodiments of this application includes: sending, by a first network-side device, uplink positioning SRS configuration related information to a second network-side device in a process of changing a serving cell or camp-on cell of a terminal; where the uplink positioning SRS configuration related information is used to assist the second network-side device to configure an uplink positioning SRS for the terminal.

Abstract: This application discloses a model request method, a model request processing method, and a related device. In the embodiments of this application, the model request method includes: A terminal sends a target request to a network side device, where the target request is used to request information about an artificial intelligence AI model; the terminal receives the information about the AI model sent by the network side device; and the terminal obtains the AI model based on the information about the AI model.

Abstract: A front-mounted high-voltage LED light source for supplementing light to plants includes a substrate, a high-voltage LED chip set, a first layer of glue powder and a second layer of glue powder. By controlling a weight ratio of the transparent adhesive medium and the red fluorescent particles in the first layer of glue powder, as well as thickness of the first layer of glue powder; and, by controlling a weight ratio of the transparent adhesive medium and the yellow fluorescent particles in the second layer of glue powder, as well as the thickness of the second layer of glue powder, a ratio range of photon number of red light, blue light to green light emitted by the front-mounted high-voltage LED light source for supplementing light to plants per a unit time is (65-95):(5-30):(5-25).

Abstract: A sensing positioning method and apparatus, and a communication device. The method in embodiments of this application includes: receiving, by a first communication device, a sensing requirement; and sending, by the first communication device in a case that the sensing requirement is a sensing requirement associated with a positioning service, the sensing requirement to a second communication device, and sending a positioning requirement to a third communication device.

Abstract: This application discloses a sensing-based positioning method and apparatus, and a communication device. The method of embodiments of this application includes: receiving, by a first communication device, a positioning requirement; and in a case that the positioning requirement is a positioning requirement associated with a sensing service, sending the positioning requirement to a second communication device and sending a sensing requirement to a third communication device.

Abstract: A positioning method includes in a case that a terminal completes cell reselection or camped cell handover during sending of an uplink reference signal in an idle state or an inactive state, performing, by the terminal, a first behavior, where the first behavior is related to the sending, releasing, or updating of the uplink reference signal, and the uplink reference signal comprises an uplink positioning reference signal and/or an uplink sensing signal.

Abstract: DeepOPF-V, a deep neural network (DNN)-based voltage-constrained approach for solving an alternating-current optimal power flow (AC-OPF) problem, is used to determine an operating point of an AC electrical power system. DeepOPE-V advantageously uses two DNNs to separately determine voltage magnitudes and voltage phase angles of buses in the system without cross-over operations between the two DNNs. A computation complexity is reduced when compared to using a single DNN for generating both the magnitudes and phase angles, allowing high computation efficiency achieved by DeepOPE-V. Remaining variables of the system are computed based on the determined magnitudes and phase angles. A solution for the operating condition is predicted. A fast post-processing (PP) method is developed to improve the feasibility of the predicted solution. The PP method uses linear adjustment to adjust the predicted solution to improve the solution feasibility while enabling fast execution of the PP method.

Abstract: A communication sensing method and apparatus, and a device. The communication sensing method in embodiments of this application includes: obtaining, by a first terminal, a sensing signal sent by a second terminal; and obtaining, by the first terminal, a measurement result corresponding to a first measurement quantity according to the sensing signal, where the first measurement quantity is a measurement quantity related to the sensing signal.