Abstract: A base station includes a transceiver, and a processor operatively coupled to the transceiver. The processor is configured to estimate a mobility level of a user equipment (UE), and determine whether the estimated mobility level of the UE exceeds a speed threshold. The processor is also configured to generate, from a channel response prediction model, a future channel response prediction based on the estimated mobility level of the UE and whether the estimated mobility of the UE exceeds the speed threshold.

Abstract: The present disclosure provides a system. The system may include a medical device, a couch, one or more imaging devices, and a control device. The medical device may include a cavity. The couch may be configured to support a subject. The one or more imaging devices may be configured to acquire image data. The image data may indicate at least one of a target portion of the subject or posture information of a user. The control device may be configured to control a movement of the couch based on at least one of position information of the target portion of the subject or the posture information of the user.

Abstract: Compositions and methods for treating Duchenne Muscular Dystrophy (DMD) and excising small portions of exons 44, 50, and 53 of the DMD gene are encompassed.

Abstract: A communication method includes sending, by a first data analytics network element, a first request to a service discovery network element. The first request requests information about a second data analytics network element. The first request includes one or more of information about distributed learning or first indication information. The information about distributed learning includes a type of distributed learning. The first indication information indicates a type of the second data analytics network element. The method also includes receiving, by the first data analytics network element, information about the second data analytics network element from the service discovery network element. The second data analytics network element supports the type of distributed learning.

Abstract: A session management method, an access management function device, and a session management device, where the method is carried out by an access and mobility management network element and includes: obtaining first subscription data of a terminal in a first communications network and second subscription data of the terminal in a second communications network, where the first subscription data includes a data network name (DNN), and the second subscription data includes an access point name (APN) corresponding to the DNN; allocating a bearer identifier to a bearer in a packet data network (PDN) connection corresponding to the APN; receiving a flow identifier that is of a flow in a protocol data unit (PDU) session corresponding to the DNN and that is sent by a session management network element; and sending the bearer identifier and the flow identifier to the terminal.

Abstract: Embodiments of the present application disclose a video processing method. The video processing method may include obtaining preview posture data corresponding to a user previewing a panoramic image, and send the preview posture data to a recording device; obtaining panoramic image data from the recording device, the panoramic image data being generated by associating panoramic video data recorded by the recording device with the preview posture data; extracting the preview posture data and the panoramic video data from the panoramic image data; and playing a video corresponding to the panoramic video data according to the preview posture data.

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: This application provides a communication method and a communication apparatus. The method includes: A policy control function network element receives, from an application function network element, information about a first time window and information about a first parameter, where the first time window is a time window that is of data transfer of a first service, and the first parameter includes parameters of the data transfer of the first service. The policy control function network element determines the policies of the first service and then sends the policies to the application function network element. The information about each policy includes information about N time windows which are determined based on the information about the first time window and the information about the first parameter, and the N time windows are used to transmit or receive data of the first service.

Abstract: A data analytics method, an apparatus, and a system. The method includes receiving, by a data analytics network element, first indication information from a first network element, the first indication information indicating to provide the first network element with mobility analytics information that indicates a location order of a terminal, obtaining mobility related information from a second network element, obtaining the mobility analytics information by the data analytics network element by processing the mobility related information based on the first indication information, where the mobility analytics includes first time information and a location of the terminal in each sub-time period of a first time period, and sending, by the data analytics network element, the mobility analytics information to the first network element.

Abstract: Systems and methods are described herein to control brightness based on image content or other inputs to a display system. A dual-control system may integrate both slow control operations and fast control operations into a cohesive brightness management system. By using both shorter-term (e.g., fast control) and longer-term (e.g., slow control) brightness adjustment operations, the electronic device may quickly respond to high luminance and high brightness situations that may cause burn-in into the display, image artifacts, or other damage. Responding quickly to these high consumption situations may prevent damage or perceivable upset to an ongoing process, among other benefits.

Abstract: In a data reporting method, a user plane network element sends a first message to a first user plane network element. The first message includes first reporting information, and is for requesting the first user plane network element to report first data based on the first reporting information. The first reporting information includes first indication information or reporting time information. The first indication information is for the first user plane network element to determine whether the reporting of the first data is allowed to be delayed. The reporting time information indicates to the first user plane network element to determine time for reporting the first data. The user plane network element then receives the first data from the first user plane network element.

Abstract: Embodiments of this application disclose a communication method and a communication apparatus, to identify application information of first data, and improve an application analytics success rate. The method includes: A first data analytics network element receives first information of an application from a first network element, where the first information includes first application description information and/or an application status that correspond/corresponds to the application, the first application description information includes an application identifier and first IP information that correspond to the application, and the application status includes a foreground state or a background state of the application; the first data analytics network element determines second information based on the first information; and the first data analytics network element sends the second information to a second network element.

Abstract: A packet transmission method, including receiving, by a session management function network element, first access network tunnel information and second access network tunnel information that correspond to a first service, and sending a downlink forwarding rule to a user plane function network element, where the downlink forwarding rule includes the first access network tunnel information and the second access network tunnel information, and the downlink forwarding rule indicates the user plane function network element to replicate a received downlink packet of the first service, and send downlink packets of the first service through two paths respectively corresponding to the first access network tunnel information and the second access network tunnel information.

Abstract: Embodiments of this application provide a terminal information processing method for determining exception information of a terminal. The method includes: obtaining, by a data analytics network element, data of a first terminal on an application function network element, where the data includes exception information of the first terminal; obtaining, by the data analytics network element, first terminal information of the first terminal on one or more network elements; and determining, by the data analytics network element, exception information of a second terminal based on the exception information of the first terminal and the first terminal information.

Abstract: A three-dimensional object modeling method may include applying a nonrotating nonuniform electric field to apply a dielectrophoretic torque to a three-dimensional object to rotate the three-dimensional object, capturing images of the object at different angles during rotation of the object and forming a three-dimensional model of the object based on the captured images.

Abstract: An application function network element sends a first request message, where the first request message is used to request network status information of a terminal device in a candidate range. The application function network element obtains a first response message, where the first response message includes network status information of N1 terminal devices, the terminal device in the candidate range includes the N1 terminal devices, and N1 is a positive integer. The application function network element determines N2 terminal devices based on the network status information of the N1 terminal devices, where the N2 terminal devices are configured to participate in training of a federated learning model, the N1 terminal devices include the N2 terminal devices, and N2 is a positive integer.

Abstract: The disclosure relates to a network entity for determining 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 data processing method and an apparatus relate to the communication field. The data processing method includes: A first network data analytics network element determines identification information of one or more submodels related to a target model. The first network data analytics network element sends the identification information of the submodel to a network element corresponding to the identification information of the submodel. The first network data analytics network element receives, from the network element, a value that reflects impact of the submodel on the target model, and performs training, to obtain the target model. The data processing method and apparatus provide functions such as accurate data collection, data analysis, and data training.

Abstract: Disclosed herein are methods of treatments with a telomerase-mediated telomere-targeting drug, 6-thio-2?-deoxyguanosine (6-thio-dG), checkpoint inhibitors and/or radiation therapy for treating cancers. eads to tumor regression in innate and adaptive immune-dependent manners in syngeneic and humanized mouse cancer models.

Abstract: A resource scheduling method for a network slice is provided, where a slice management network element sends a request to a data analysis network element. The request includes service experience requirement information of a first network slice. The slice management network element receives a response sent by the data analysis network element. The response includes information about a first area and/or information about a first time that are/is of the first network slice and that correspond/corresponds to the service experience requirement information. The slice management network element sends information about a second area and/or information about a second time to a network device based on the information about the first area and/or the information about the first time. The network device schedules a resource for the first network slice based on the information about the second area and/or the information about the second time.