Generative Adversarial Networks (GANs) are a machine learning approach capable of
generating novel example outputs across a space of provided training examples. Procedural …

Plug-and-play (PnP) is a non-convex framework that integrates modern denoising priors, such
as BM3D or deep learning-based denoisers, into ADMM or other proximal algorithms. An …

Anemia commonly aggravates the severity of respiratory diseases, whereas thus far, few
studies have elucidated the impact of anemia on coronavirus disease 2019 (COVID‐19). The …

Polyoxymethylene dimethyl ethers (PODE) is an emerging biofuel with properties of high
cetane number (CN), high oxygen content and no C–C bond, which shows a significant …

Conducting text retrieval in a dense learned representation space has many intriguing
advantages over sparse retrieval. Yet the effectiveness of dense retrieval (DR) often requires …

We have formulated an auxiliary-boson mean-field theory consistent with the SU (2) symmetry
of the Heisenberg model. At half filling, we find an infinite number of solutions related by …

ChatGPT has promising applications in health care, but potential ethical issues need to be
addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from …

ChatGPT is receiving increasing attention and has a variety of application scenarios in
clinical practice. In clinical decision support, ChatGPT has been used to generate accurate …

Learning to optimize (L2O) is an emerging approach that leverages machine learning to
develop optimization methods, aiming at reducing the laborious iterations of hand engineering. …

A novel all-composite sandwich structure with Y-shaped cores was designed and fabricated
by hot-press molding method in this paper. In order to reveal effects of relative density on …