Abstract: Embodiments of the present application provide a spatial reuse method. The method includes: receiving, by a first node in BSS1, a measurement request sent by a second node in BSS2, where one or more first service periods SP1 are allocated in the BSS1, one or more second service periods SP2 are allocated in the BSS2, and the measurement request is used to request to measure the one or more second service periods SP2; receiving, by the first node in the BSS1, a measurement report of the second node in the BSS2, where the measurement report is a report of measuring the one or more first service periods SP1; and determining, by the first node in the BSS1 based on the received measurement report, whether to allow spatial reuse of the one or more first service periods SP1 and the one or more second service periods SP2.

Abstract: Embodiments of this application relate to the communications field, and in particular, to an information sending/receiving method and apparatus in the communications field. The information receiving method includes: determining an information receiving time based on any two of a time division duplex sector sweep acknowledgement frame count index, a count index, and a time division duplex sector sweep frame count index, duration of a time division duplex sector sweep frame, and duration of a time division duplex sector sweep acknowledgement frame; and receiving information at the determined information receiving time. According to the information receiving/sending method provided in the embodiments of this application, the information sending apparatus can send information at an accurate information sending time, the information receiving apparatus can receive the information at an accurate information receiving time, and system communication can be normally performed.

Abstract: Embodiments of the disclosure may be directed to an image processing system configured to receive a medical image of a region of a subject's body taken at a first time and to receive a surface image of an exterior portion of the region of the subject's body taken at the first time. The image processing may also be configured to receive a medical image of the region of the subject's body taken at a second time and to register the medical image taken at the first time, the surface image taken at the first time, and the medical image taken at the second time.

Abstract: A method includes modulating a digital signal via pulse amplitude modulation (PAM) and applying Nyquist shaping to the digital signal to generate a filtered digital signal. The method also includes converting the filtered digital signal into an analog signal and transmitting the analog signal in an optical communication channel via a dense wavelength division multiplexing (DWDM) scheme.

Abstract: Embodiments of this application provide an information transmission method, a network device, and a user equipment. The method provided in this application includes: sending, by a network device, a broadcast frame that includes first duration information and second duration information that are of A-BFT (Association Beamforming Training); receiving a frame sent by a first user equipment in a timeslot randomly selected from a first time range; and receiving a frame sent by a second user equipment in a timeslot randomly selected from a second time range. According to the embodiments of this application, beamforming training efficiency can be improved.

Abstract: A communications method and device, to reduce service interruption time and signaling overheads that are generated when an access point that provides a communication service for a station changes because the station moves or changes a direction. First frames sent by different access points in an access point set to a station include a same sending address. In this way, when the station moves or changes a direction, the access point that provides the communication service for the station changes from one access point in the access point set to another access point. Because first frames sent by access points in the access point set include a same sending address, the station may consider the access point set as one access point.

Abstract: A touch screen and a manufacturing method thereof, and a touch display device are provided. The touch screen includes a plurality of touch electrodes and a plurality of first touch lines, the plurality of touch electrodes extending in a same direction, each of the plurality of touch electrodes including a mesh structure formed by a plurality of metal lines, and the touch electrode including a first end and extending from the first end, each of the plurality of first touch lines being located between two adjacent touch electrodes and electrically connected with one of the two adjacent touch electrodes, and the first touch line being electrically connected with the first end of the touch electrode.

Abstract: This application provides an information indication method and an apparatus. In this application, a sending apparatus generates and sends a first frame, the first frame includes at least one piece of sub-time resource indication information, and each piece of sub-time resource indication information is in a one-to-one correspondence with one of at least one response apparatus. In addition, each piece of sub-time resource indication information includes a time resource at which the corresponding response apparatus sends feedback information for the first frame to the sending apparatus and a time resource at which the sending apparatus sends acknowledgment information for the feedback information to the corresponding response apparatus, so that the at least one response apparatus and the sending apparatus that sends the first frame can simultaneously perform beamforming training, thereby improving effectiveness of beamforming training performed on the sending apparatus and the at least one response apparatus.

Abstract: The present disclosure relates to systems, methods, and computer-readable storage media for radiotherapy. Embodiments of the present disclosure may receive a plurality of training data and determine one or more predictive models based on the training data. The one or more predictive models may be determined based on at least one of a conditional probability density associated with a selected output characteristic given one or more selected input variables or a joint probability density. Embodiments of the present disclosure may also receive patient specific testing data. In addition, embodiments of the present disclosure may predict a probability density associated with a characteristic output based on the one or more predictive models and the patient specific testing data. Moreover, embodiments of the present disclosure may generate a new treatment plan based on the prediction and may use the new treatment plan to validate a previous treatment plan.

Abstract: An information transmission method, including receiving, by a first node, a request message sent by a second node, where the first node and the second node belong to a same basic service set (BSS), and sending, by the first node, a response message to the second node, where the response message comprises an identifier of a BSS to which the first node belongs.

Abstract: Implementations of the present specification disclose methods, apparatuses, and devices for configuring and executing a payment process. In the implementations of the present implementation, a state corresponding to each operation is determined based on each operation included in a predetermined payment process, a transition relationship between the states is determined based on an association relationship between operations included in the payment process, and a condition for transition between the states is determined based on a trigger condition corresponding to each operation in the payment process. Thus, the payment process can be represented as a finite state machine, and the payment process can be executed using the finite state machine.

Abstract: Features, such as anatomical features, may be automatically segmented from medical imaging information, using a computer-implemented method. In an example, three-dimensional (3D) medical imaging information may be received, such as defining a first volume. A first trained convolutional neural network (CNN) may be applied to the three-dimensional medical imaging information. An output from the first trained CNN may be used to determine a region-of-interest within the first volume, the region-of-interest defining a lesser, second volume. A different, second trained CNN may be applied to the region-of-interest, a segmented representation of the 3D medical imaging information may be provided using the outputs from the first and second CNNs, where the second CNN provides enhanced segmentation detail in the region-of-interest without requiring application of the second CNN to an entirety of the first volume. Techniques are also described from training one or more of the first and second CNNs.

Abstract: Embodiments of the disclosure may be directed to an image processing system configured to receive a medical image of a region of a subject's body taken at a first time and to receive a surface image of an exterior portion of the region of the subject's body taken at the first time. The image processing may also be configured to receive a medical image of the region of the subject's body taken at a second time and to register the medical image taken at the first time, the surface image taken at the first time, and the medical image taken at the second time.

Abstract: A volume adjustment method and a terminal relate to the field of terminal technologies and applied to adaptively adjust a volume during a voice conversation, and improve user experience. The terminal collects sound data during a voice conversation, where the sound data includes uplink voice data and background noise, and adjusts, when receiving downlink voice data, a volume of the downlink voice data based on the sound data.

Abstract: A method for managing a cloud computing system, capable of allocating computing and network resources to a plurality of clients, each client being associated with at least one user likely to access the computing and network resources allocated to the client by the cloud computing system. This method includes, for at least one client of the cloud computing system: providing to the client a meta-model having a plurality of elements defining an access control model and an access control policy for the client; receiving an instance of the meta-model provided by the client, this instance defining, for the client, an access control model and an access control policy based on this access control model; and applying the access control policy to control an access of a user of the client to at least one resource allocated to the client by the cloud computing system.

Abstract: Embodiments of this application provide an information transmission method and a network device. The method may include: listening, by a second network device, to a first frame sent by a first network device, where the first frame is used to indicate whether the first network device supports communication between network devices; and if both the first network device and the second network device support the communication between the network devices, transmitting, by the second network device, information with the first network device.

Abstract: This invention relates to pharmaceutical composition and methods of using RXR agonist and/or RAR agonist for the treatment or prevention of head and neck cancer.

Abstract: An image segmentation method is disclosed. The method includes receiving a plurality of atlases and a subject image, each atlas including an atlas image showing a structure of interest and associated structure delineations, the subject image being acquired by an image acquisition device and showing the structure of interest. The method further includes calculating, by an image processor, mapped atlases by registering the respective atlases to the subject image, and determining, by the image processor, a first structure label map for the subject image based on the mapped atlases. The method also includes training, by the image processor, a structure classifier using a subset of the mapped atlases, and determining, by the image processor, a second structure label map for the subject image by applying the trained structure classifier to one or more subject image points in the subject image.

Abstract: A deformable radiotherapy phantom can be produced using an additive manufacturing process, based on a medical image of the patient. The deformable phantom can include dosimeters for measuring radiation dose distribution. A smart material can allow deformation in response to an applied stimulus. Among other things, the phantom can be used to validate radiation dose warping, a radiotherapy treatment plan, to determine a maximum acceptable deformation of the patient, to validate a cumulative accuracy of dose warping and deformable image registration, or the like.