Abstract: Techniques are described for communicating datasets, between wireless devices and network nodes, to train artificial intelligence (AI) and/or machine learning (ML) models, which can be used in both training and inference stages, to improve system performance. An example method for wireless communication includes receiving, by a wireless device, a dataset from a network node, wherein the dataset comprises a plurality of data samples and is associated with a first information. In another example, the example method further includes transmitting, to the network node, a request for the dataset.

Abstract: A method for beam management, a device, a storage medium, and a program product. The method may include receiving beam reporting indication information sent by a transmitting apparatus and a plurality of test beams configured with reference signal resources; measuring a plurality of reference signal resources to obtain a plurality of pieces of beam measurement information; selecting target measurement information from the plurality of pieces of beam measurement information according to the beam reporting indication information; and sending the target measurement information to the transmitting apparatus, such that the transmitting apparatus predicts an optimal beam result according to the target measurement information.

Abstract: The present application provides a polypeptide and a cosmetic composition or pharmaceutical composition and use thereof. The polypeptide has the following general formula: R1—X1—X2—X3—X4—X5—X6—X7—X8—R2. The present application relates to a peptide, stereoisomers thereof, a mixture of the stereoisomers, or a cosmetically acceptable salt thereof, or a pharmaceutically acceptable salt thereof, or a cosmetic composition or a pharmaceutical composition thereof, and a use thereof in the preparation of the cosmetic composition or pharmaceutical composition for improving skin aging or photoaging, and treating or caring for a condition, a disorder or a disease caused by muscle contraction.

Abstract: Network wavefield imaging methods are able to image significantly complex discontinuities or shapes in plate-like structures for superior ultrasonic structural health monitoring (SHM)/nondestructive evaluation (NDE). The imaging provides high-resolution location, shape and/or size images of a structure, and for discontinuities with more complicated profiles. Guided wave (GW) network wavefield imaging methods combine tomography and wavefield/wavenumber imaging algorithms. Metallic plate damage detection uses guided ultrasonic waves and non-contact laser vibrometry. Guided waves are generated by piezoelectric transducers (PZT). A non-contact scanning laser Doppler vibrometer (SLDV) measures the full velocity plate guided wave wavefields. Developed network wavefield imaging algorithms account for multiple-actuator excitations from different angles enclosing the discontinuity, with algorithms using intrinsic wave characteristics such as wavefield, wavenumber, or reconstructed wave energy.

Abstract: Network wavefield imaging methods are able to image significantly complex discontinuities or shapes in plate-like structures for superior ultrasonic structural health monitoring (SHM)/nondestructive evaluation (NDE). The imaging provides high-resolution location, shape and/or size images of a structure, and for discontinuities with more complicated profiles. Guided wave (GW) network wavefield imaging methods combine tomography and wavefield/wavenumber imaging algorithms. Metallic plate damage detection uses guided ultrasonic waves and non-contact laser vibrometry. Guided waves are generated by piezoelectric transducers (PZT). A non-contact scanning laser Doppler vibrometer (SLDV) measures the full velocity plate guided wave wavefields. Developed network wavefield imaging algorithms account for multiple-actuator excitations from different angles enclosing the discontinuity, with algorithms using intrinsic wave characteristics such as wavefield, wavenumber, or reconstructed wave energy.