Abstract: Methods, systems, and devices may enable UE power savings in multi-beam connectivity using multi-TRPs or multi-UE panels. Methods, systems, and devices may enable PDCCH skipping in the active duration of the UE by skipping PDCCH monitoring associated with groups of CORESETs.

Abstract: Provided are a monoclonal antibody binding to human CD38, an antigen-binding fragment thereof, a pharmaceutical composition comprising the same, and use thereof in the treatment of a CD38-positive cancer.

Abstract: Methods, systems, and devices for wireless communication are described. A first user equipment (UE) may receive a sidelink message from a second UE via one or more sidelink resources. The first UE may select a sidelink shared channel resource to use for transmission of feedback information associated with the sidelink message. The selecting may be based on one or more conditions and may be between the sidelink shared channel resource and a sidelink feedback channel resource. The first UE may transmit the feedback information to the second UE via at least the sidelink shared channel resource.

Abstract: The present disclosure relates to a nozzle fixing assembly and a water pick. The nozzle fixing assembly is configured to mount a nozzle having a limiting groove. The nozzle fixing assembly includes: a locking assembly including a housing provided with a first through hole and an elastic element connected to the housing; a support base including an elastic piece and a locking sleeve provided with a second through hole. An outer periphery of the locking sleeve is provided with a latching groove in communication with the second through hole. The nozzle extends through the first through hole and the second through hole and biases the elastic element, such that the limiting groove is aligned with the latching groove, the elastic piece is engaged in the limiting groove and the latching groove.

Abstract: Described is a system for improving machine learning models by accessing a first latent diffusion machine learning model, the first latent diffusion machine learning model trained to perform a first number of denoising steps, accessing a second latent diffusion machine learning model that was derived from the first latent diffusion machine learning model, the second latent diffusion machine learning model trained to perform a second number of denoising steps, generating noise data, processing the noise data via the first latent diffusion machine learning model to generate one or more first images, processing the noise data via the second latent diffusion machine learning model to generate one or more second images, and modify a parameter of the second latent diffusion machine learning model based on a comparison of the one or more first images with the one or more second images.

Abstract: Described is a system for improving machine learning models. In some cases, the system improves such models by identifying an autoencoder for a latent diffusion machine learning model, the latent diffusion machine learning model is trained to receive text as input and output an image based on the received text. The system identifies a number of channels in a decoder of the autoencoder, the decoder being configured to receive latent features as input and output images. The system further identifies a performance characteristic of the decoder and changes the node topology of the decoder based on the performance characteristic to generate an updated decoder. The system retrains the latent diffusion machine learning model using the updated decoder by inputting latent features to the updated decoder, receiving an outputted image from the updated decoder, and updating one or more weights of the decoder based on an assessment of the outputted image.

Abstract: Described is a system for improving machine learning models by accessing a first latent diffusion machine learning model, accessing a second latent diffusion machine learning model that was derived from the first latent diffusion machine learning model, the second latent diffusion machine learning model trained to perform a second number of denoising steps, generating noise data, processing the noise data via the first latent diffusion machine learning model to generate one or more first latent features, processing the noise data via the second latent diffusion machine learning model to generate one or more second latent features, and inputting the one or more first latent features and the one or more second latent features into a loss function. The system then modifies a parameter of the second latent diffusion machine learning model based on the output of the loss function.

Abstract: A common Data Analytics Service (DAS) at service layer is designed to use underlying existing/future data analytics technologies or tools and provide them to service layer entities that need those data analytics operations with uniform access approach. A general operation framework/interface design is used for enabling DAS and the operation details within DAS. Related procedures for interacting with DAS, including the new parameters in service layer request/response messages can be used.

Abstract: Implementations of the present specification provide a digital item transfer interaction processing method and apparatus.

Abstract: A computer-implemented method, a system, and a computer program product for service delivery are disclosed. In the method, a static analysis can be performed on a plurality of services to be deployed in an environment comprising a plurality of nodes, to determine dependency relationships among the plurality of services. The plurality of services can be deployed in the environment based on the dependency relationships, a predefined priority for each of the plurality of services, and deployment time for each of the plurality of services. Also, the plurality of services can be scheduled into corresponding nodes in the environment.

Abstract: Described is a system for improving machine learning models. In some cases, the system improves such models by identifying a performance characteristic for machine learning model blocks in an iterative denoising process of a machine learning model, connecting a prior machine learning model block with a subsequent machine learning model block of the machine learning model blocks within the machine learning model based on the identified performance characteristic, identifying a prompt of a user, the prompt indicative of an intent of the user for generative images, and analyzing data corresponding to the prompt using the machine learning model to generate one or more images, the machine learning model trained to generate images based on data corresponding to prompts.

Abstract: An image recognition method, readable storage medium, and image recognition system are provided. The method includes: inputting an image, running a recognition engine to recognize and obtain species of a content in the image and obtain species recognition result, and running a non-category engine to determine whether the content belongs to a non-preset category; ignoring determination result of the non-category engine and obtaining category recognition result that the content belongs to a preset category if confidence of species recognition result is not less than first preset; obtaining category recognition result that the content belongs to the preset category if confidence of species recognition result is less than first preset and determination result of the non-category engine is no; obtaining category recognition result that the content belongs to the non-preset category if confidence of species recognition result is less than first preset and determination result of the non-category engine is yes.

Abstract: The present invention discloses a free-cut warp-knitted fabric and use thereof. The warp-knitted fabric is at least knitted using a yarn of a front guide bar and a yarn of a back guide bar, wherein the yarn of the front guide bar and/or the yarn of the back guide bar is a crimped fiber having a stretch elongation of 30% to 120% and a stretch recovery not less than 15%, and an underlap formed by the yarn of the front guide bar and an underlap formed by the yarn of the back guide bar have opposite directions in the same course. The warp-knitted fabric of the present invention has proper elongation and stretchability, and has good washing durability; and the fabric after cutting has raveled edges, is not easy to curl in the horizontal direction, has good wearing comfort, and can be widely used to fabricate various garments.

Abstract: Apparatus, methods, and computer-readable media for facilitating a SL communication for mode 2 resource allocation are disclosed herein. An example method includes configuring an inter-UE coordination message associated with sidelink communication with a second UE, the inter-UE coordination message indicating one or more resources for the sidelink communication. The example method further includes transmitting, to the second UE, the inter-UE coordination message via a MAC-CE, the MAC-CE being associated with a PSSCH. The example method further includes transmitting, to the second UE, or receiving, from the second UE, the sidelink communication via a first resource of the one or more resources.

Abstract: A correction method for a scatter signal caused by a wedge filter includes: S10: performing an air scan by using CT equipment, and calculating a relative intensity Wair of a scatter signal caused by a wedge filter in the air scan according to an air scan result, S20: performing an object scan on a plurality of experimental objects by using the CT equipment, and calculating theoretical scatter signal intensities Wtheo of the experimental objects in the object scan in combination with the result of S10, S30: fitting Wtheo of the experimental objects in the object scan and scatter signal intensity estimations Wact of the experimental objects in the object scan, and S40: correcting the scan results according to a difference between a scatter signal intensity estimation Wact of an actual object in the object scan and a theoretical scatter signal intensity Wtheo of the actual object in the object scan.

Abstract: Different sidelink resource configurations and allocation schemes may be controlled by an interface, such as the Uu interface. The radio resource control configurations may include dynamic assignment of broadcast sidelink transmission, unicast sidelink transmission, or group sidelink transmission. There may be radio resource control configured static resource allocation for broadcast sidelink transmission, unicast sidelink transmission, or group sidelink transmission.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitting user equipment (UE) (Tx UE) may receive a co-channel coexistence sidelink configuration for identifying and selecting a sidelink resource of a first network based, at least in part, on whether the sidelink resource of the first network occurs during a subframe of a sidelink resource of a second network. The Tx UE may transmit a sidelink message to a receiving UE in accordance with the co-channel coexistence sidelink configuration. Numerous other aspects are described.

Abstract: A method and system for acquiring species identification names and a readable storage medium are provided. The method includes: identifying a species image provided by a user according to a species identification model and acquiring a species name; acquiring a plurality of candidate species names according to a species name database; and acquiring a species identification result name according to geographical area information and/or confidence coefficients of the candidate species names. The candidate species names include a plurality of conventional names. The method further includes: determining whether the species name is present in the pre-established species name database, where the species name database records the common names of a same species in different geographical areas; and selecting a conventional name of the species name corresponding to the geographical area information from the species name database and acquiring and outputting the identification result of the species.

Abstract: Methods and systems are disclosed for a more flexible use of bandwidth parts (BWP) and cells for the various transmissions within the BFR procedure, such as the UL beam failure recovery request (BFRQ) and the DL beam failure recovery response (BFRR). The proposed framework allows these transmission to occur in BWPs with different Id, as well as on different cells. Example benefits include support for BFR on DL-only SCells by allowing the BFR UL transmissions on another cell with UL, support for sequential/parallel multi-cell BFRQ for improved BFR reliability and latency performance, and support for less UE-initiated BWP switching for BFR.

Abstract: Methods, systems, and devices are used to implement BFR, SL-RS for BFD, radio link monitoring, or frequency assisted beam failure recovery, among other things.