Abstract: Embodiments of this application provide example data analytics methods and example data analytics apparatuses. An example method carried out by a user plane data processing network element includes: obtaining information about at least one feature set from a data analytics network element, where information about each feature set in the information about the at least one feature set corresponds to at least one service type or at least one execution rule; obtaining a feature parameter of user plane data based on the information about the at least one feature set; sending the feature parameter to the data analytics network element; obtaining a response result of the feature parameter from the data analytics network element; obtaining, based on the response result, a service type associated with the user plane data or an execution rule associated with the user plane data.

Abstract: The present disclosure relates to information processing methods, apparatus, and systems. In one example method, a first network element receives data analytics information from a first data analytics network element, where the data analytics information includes one or more of an identifier of a first terminal, activity degree information of the first terminal, moving trajectory information of the first terminal, and first risk information of the first terminal. The first network element determines an association relationship between the first terminal and an emergency event based on the data analytics information.

Abstract: Embodiments of this application provide a data analytics method, an apparatus, and a system, and relate to the field of communication technologies, to improve a use effect of data analytics information. The method includes: A data analytics network element receives, from a first network element, effect information of data analytics information. The data analytics network element determines updated data analytics information based on the effect information. In this way, the data analytics network element determines, based on the effect information, whether a use effect achieved by using the data analytics information is good or bad, to know whether a data analytics model is accurate. In this solution, the data analytics network element may actively update the data analytics information in time based on the effect information, to improve a use effect of the updated data analytics information.

Abstract: Embodiments of this application provide a data processing method and apparatus. The method includes: parsing, by a user plane data processing network element, a received packet and determining first service type information of a data flow to which the packet belongs; obtaining, by the user plane data processing network element, second service type information of the data flow from a data analysis network element; and processing, by the user plane data processing network element, the data flow based on the first service type information and the second service type information. With the data processing method and apparatus disclosed herein, accuracy in identifying a service type of transmitted data can be improved.

Abstract: The present disclosure provides a system and method for image data acquisition. The method may include obtaining image data of a subject including a first type of tissue and a second type of tissue. The method may include determining, based on the image data of the subject, a target portion including at least a portion of at least one of the first type of tissue or the second type of tissue. The method may include determining, based at least in part on the target portion represented in the image data, a scan mode corresponding to the target portion. The method may include causing an imaging device to acquire, based on the scan mode, image data of the target portion.

Abstract: A method may include obtaining an image of an object; obtaining a target artifact identification model; determining target artifact feature information by inputting the image into the target artifact identification model, the target artifact feature information indicating a feature of one or more artifacts in the image; obtaining a target artifact extent determination model; determining target artifact extent indication information by inputting the image and the target artifact feature information into the target artifact extent determination model, the target artifact extent indication information indicating an influence extent of the one or more artifacts on an image quality of the image; in response to determining that the influence extent is greater than or equal to the extent threshold, outputting a notice of the one or more artifacts of the image.

Abstract: A network entity determines at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.

Abstract: A method in the embodiments of the application includes: obtaining, by a first network element, first data that corresponds to a service flow and that is on each of at least two network elements, where the first data that corresponds to the service flow and that is on each of the network elements includes a first identifier; obtaining, by the first network element based on the first identifier and the first data that corresponds to the service flow and that is on each of the network elements, second data that corresponds to the service flow, where the second data includes at least the first data that corresponds to the service flow and that is on each of the network elements.

Abstract: This application provides a communication method. The communication method includes: obtaining, by the database network element, training data, where the training data includes service transmission data and network data; sending, by the database network element, the training data to the data analytics network element; and receiving, by the database network element, first information from the data analytics network element, where the first information includes a first feature index list set, a service identifier corresponding to each feature index list in the first feature index list set, and a DNN corresponding to the service identifier.

Abstract: An inter-network interworking method, an apparatus, and a system are provided, and relate to the field of communication technologies, to ensure that a service is not interrupted when a terminal moves from a second network to a third network. The method includes: When the terminal supports a NAS capability of the third network and/or a network name corresponding to the terminal supports interworking between the second network and the third network, a second access management network element sends a session management request including a session identifier to a first session management network element that supports interworking of the terminal among a first network, the second network, and the third network. The second access management network element receives, from the first session management network element, a session management response including a session context of the terminal in the third network.

Abstract: This application provides a policy determining method. The method includes: A first network element obtains first analytics information from a data analytics network element, where the first analytics information includes at least one of the following information: radio access type (RAT) related information or access frequency related information, and service experience analytics information corresponding to a RAT or an access frequency; and the first network element determines an access information selection policy of a terminal device based on the first analytics information, where the access information selection policy includes a target RAT or a target access frequency corresponding to the terminal device. The data analytics network element generates analytics information based on obtained network data and service data, and provides the analytics information for a network function network element.

Abstract: This application provides a communication method, a communication apparatus, a device, and a communication system. A data analytics network element determines a service quality analytics result for a target terminal device, and sends the service quality analytics result to an access network element. After receiving the service quality analytics result, the access network element may perform handover decision on the target terminal device based on the service quality analytics result.

Abstract: The present disclosure relates to methods and apparatus for determining device information. In one example method, an inference device sends a first request to a service discovery entity. The first request is used to request information about one or more training devices, and the first request includes an algorithm type or an algorithm identifier of a first model requested by the inference device. The inference device receives the information about the one or more training devices from the service discovery entity. The information about the one or more training devices includes capability information. The inference device determines a first training device from the information about the one or more training devices based on a preset condition.

Abstract: In embodiments of this disclosure, a data obtaining network element obtains authorization information of the user, where the authorization information includes first indication information. The first indication information indicates whether related data of the user is allowed to be obtained. The related data of the user includes data on an access network corresponding to the user and/or data on a core network corresponding to the user. The data obtaining network element sends a first request to a data providing network element when the first indication information indicates that the user allows obtaining the related data of the user, where the first request is used to obtain the related data of the user.

Abstract: In some aspects, the present disclosure provides vaccine compositions comprising an antigen and a diblock copolymer wherein the diblock copolymer is pH responsive. In some embodiments, these compositions activate the STING and/or the interferon receptor pathways. In some embodiments, the diblock copolymer hits a pKa from about 6 to about 7.5. Also provided herein are methods of treatment using these compositions to treat an infectious disease or cancer.

Abstract: Embodiments of this application provide a session management method, an interworking method between different systems, and a network apparatus. The session management method includes: when establishing a guaranteed bit rate (GBR) flow of a terminal device in a first communications system, determining, by a session management network element in the first communications system, that the GBR flow is a GBR flow required for handing over the terminal device from the first communications system to a second communications system; and establishing, by the session management network element for the GBR flow, a session context corresponding to the second communications system. The methods and the network apparatus are used to resolve a technical problem of resource waste existing in a handover method in the prior art.

Abstract: This disclosure relates to the field of wireless communications technologies, and in particular, to a handover method, including: receiving, by a mobility management network element of a first network, a first handover request sent by an access network, and learning that a terminal device needs to be handed over to a second network; obtaining an identifier of the terminal device based on the first handover request; determining, by the mobility management network element of the first network, a target mobility management network element of the second network based on the identifier of the terminal device; and sending, by the mobility management network element of the first network, a second handover request to the target mobility management network element of the second network, and requesting to hand over the terminal device to the second network.

Abstract: This application provides a communication method and a network device. The communication method includes: obtaining, by a first network device, one or more priorities of one or more network slices in a first network slice set for providing a service to an application; and sending, by the first network device, a correspondence between the one or more priorities and the one or more network slices in the first network slice set to a second network device, where a terminal route selection policy on a terminal is updated based on the correspondence.

Abstract: A method for determining transmission rate, an apparatus, a transmission device, and a storage medium. The method includes: determining at least two candidate transmission rates; performing data transmission for a period of time at each of the candidate transmission rates; determining an energy utilization rate of battery power during the data transmission at each of the candidate transmission rates; and selecting a target transmission rate for subsequent data transmission from the candidate transmission rates according to the energy utilization rate.

Abstract: The therapies described herein can be selectively lethal toward a variety of different cancer cell types and cancer conditions in a subject. The combination therapies described herein can be useful for the management, treatment, control, or adjunct treatment of diseases, where the selective lethality is beneficial in immunotherapy, particularly where the disease is accompanied by elevated levels of NQO1. In particular, embodiments where an immunotherapy, such as a heckpoint inhibitor, are combined with a NQO1 bioactivatable drug.