Abstract: This application is applicable to a group addressed traffic transmission method applicable to a plurality of links and an apparatus. In the method, group addressed traffic indication information is used to indicate whether each AP or an AP other than a first AP in an AP MLD has group addressed traffic; or group addressed traffic indication information is used to indicate whether each AP or an AP other than a first AP in an AP MLD and each AP or an AP other than a non-transmitted AP in an AP MLD in which the non-transmitted AP in a multiple BSSID set in which the first AP is located have group addressed traffic. This application is applied to a wireless local area network system that supports an IEEE 802.11ax next-generation Wi-Fi EHT protocol, for example, an 802.11 series protocol such as 802.11be.

Abstract: This application provides communication methods, apparatuses, and computer-readable storage media. In an example, a value of a specific element of a first access point (AP) (or a second AP) is reused in a management frame, to indicate specific elements of a plurality of APs in a multiple basic service set identifier (BSSID) set to which the first AP (or the second AP) belongs. The management frame does not need to carry a plurality of same specific elements in the multiple BSSID set. The described techniques can be applied to, for example, a wireless local area network system supporting IEEE 802.11ax next-generation Wi-Fi protocols, for example, 802.11 series protocols such as the 802.11be or the EHT.

Abstract: The present invention relates to a proliferation enhancer. The enhancer comprises a protein molecule capable of initiating the cellular STATS and/or STAT3 signaling pathway and comprising the intracellular domain, the transmembrane domain and the extracellular domain. The present invention further relates to a lymphocyte expressing the proliferation enhancer and the use thereof as an immunotherapy drug.

Abstract: The embodiments of the present disclosure provide a detection method, apparatus for automatic driving sensor, and electronic device. The method includes: pre-establishing a standard association relationship, the sensor to-be-detected is used for capturing in a fixed scene, and a corresponding capturing result is displayed.

Abstract: An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.

Abstract: Apparatuses, systems, and techniques to generate images. In at least one embodiment, one or more neural networks are used to generate a panoramic image from a segmentation mask.

Abstract: Provided are a method and apparatus for identifying the defect grade of a bad picture, and a storage medium. The method includes: determining the defect size of a defect from a bad picture; according to a product model corresponding to the bad picture, determining the design size of a pattern corresponding to a component that is adjacent to the position of the defect; determining the defect grade of the defect according to the defect type of the defect and a magnitude relationship between the defect size and the design size, wherein the defect grade is the degree to which the defect affects product yield.

Abstract: Apparatuses, systems, and techniques are presented to generate one or more images. In at least one embodiment, one or more neural networks are used to generate one or more images based, at least in part, on one or noise values.

Abstract: Apparatuses, systems, and techniques are presented to generate one or more images. In at least one embodiment, one or more neural networks are used to generate one or more images based, at least in part, upon one or more input types.

Abstract: An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.

Abstract: A method for classifying an image of a displaying base plate includes: acquiring an image to be checked; from a first predetermined-type set, determining a type of the image to be checked. The first predetermined-type set includes: a first image type, a second image type and a third image type. An image of the first image type is a no-defect image, an image of the second image type is a blurred image, and an image of the third image type is a defect image. When the type of the image to be checked is the third image type, by using a first convolutional neural network, determining a defect data of the image to be checked, wherein the defect image refers to an image of a displaying base plate having a defect, and the defect data contains a defect type of the displaying base plate in the image to be checked.

Abstract: Apparatuses, systems, and techniques are presented to synthesize representations. In at least one embodiment, one or more neural networks are used to generate one or more representations of one or more objects based, at least in part, upon one or more structural features and one or more appearance features for the one or more objects.

Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images based, at least in part, upon speech input received from one or more users.

Abstract: A device and a method for accurately mapping the building information modeling and the Internet of Things monitoring item based on building information modeling and building intellectual management, the device comprises: a key field identification module for screening an component ID code with entity monitoring data feedback from any building information modeling component with component ID code; an addressing module, which is based on an API interface of building intelligent subsystem, to obtain the IP address of terminal equipment Internet of Things equipment and the dynamic monitoring information of the equipment; an Internet of Things analysis module which is used for accurately analyzing the Internet of Things equipment communication signal; a rule mapping module which is used for generating a building information modeling and building entity equipment mapping rule to achieve accurate mapping.

Abstract: The present invention discloses a medicated plaster for treating waist pain, comprising, by weight parts, the following raw materials: Abalone shell 10-20; Fructus Xanthii 10-20; Herba Lysimachiae 15-20; Lonicera japonica 10-15; and mint oil 2-4.

Abstract: A few-shot, unsupervised image-to-image translation (“FUNIT”) algorithm is disclosed that accepts as input images of previously-unseen target classes. These target classes are specified at inference time by only a few images, such as a single image or a pair of images, of an object of the target type. A FUNIT network can be trained using a data set containing images of many different object classes, in order to translate images from one class to another class by leveraging few input images of the target class. By learning to extract appearance patterns from the few input images for the translation task, the network learns a generalizable appearance pattern extractor that can be applied to images of unseen classes at translation time for a few-shot image-to-image translation task.

Abstract: The present invention discloses a medicated plaster for treating waist pain, comprising, by weight parts, the following raw materials: Abalone shell 10-20; Fructus Xanthii 10-20; Herba Lysimachiae 15-20; Lonicera japonica 10-15; and mint oil 2-4.

Abstract: A source image is processed using an encoder network to determine a content code representative of a visual aspect of the source object represented in the source image. A target class is determined, which can correspond to an entire population of objects of a particular type. The user may specify specific objects within the target class, or a sampling can be done to select objects within the target class to use for the translation. Style codes for the selected target objects are determined that are representative of the appearance of those target objects. The target style codes are provided with the source content code as input to a translation network, which can use the codes to infer a set of images including representations of the selected target objects having the visual aspect determined from the source image.

Abstract: A polygulonic acid sulfate or pharmaceutically acceptable salt thereof, preparation method therefor and use thereof in the preparation of tumor growth and/or metastasis inhibitors are disclosed. The polygulonic acid sulfate or pharmaceutically acceptable salt thereof of the present invention can be used in the preparation of any one or more of tumor growth inhibitors, tumor metastasis inhibitors, angiogenesis inhibitors, heparanase inhibitors, C-Met enzyme inhibitors, microtubule polymerization inhibitors, actin-depolymerizing factor activity inhibitors and actin-aggregation inhibitors.

Abstract: A polygulonic acid sulfate or pharmaceutically acceptable salt thereof, preparation method therefor and use thereof in the preparation of tumor growth and/or metastasis inhibitors are disclosed. The polygulonic acid sulfate or pharmaceutically acceptable salt thereof of the present invention can be used in the preparation of any one or more of tumor growth inhibitors, tumor metastasis inhibitors, angiogenesis inhibitors, heparanase inhibitors, C-Met enzyme inhibitors, microtubule polymerization inhibitors, actin-depolymerising factor activity inhibitors and actin-aggregation inhibitors.