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Abstract Model instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking. Here, by integrating machine...

ABSTRACT Background and Aims Obstructive sleep apnea (OSA) is a prevalent sleep disorder linked to cardiovascular diseases and is highly prevalent, especially in the elderly population. This study aimed to investigate th...

A data enhanced iterative few-sample (DEIFS) algorithm is proposed to achieve the accurate and efficient inverse design of multi-shaped 2D chiral metamaterials. Specifically, three categories of 2D diffractive chiral str...

To address the critical limitations of conventional band-switching technologies – such as their slow speed, high energy consumption, and mechanical instability – this research introduces a novel deep-learning-driven ...

ABSTRACT Background Leonurine (LEO), a bioactive alkaloid derived from the Leonurus genus, exhibits diverse pharmacological activities including uterotonic, antioxidant, anti‐inflammatory, antiapoptotic, Antitumor, and...

Background The prevalence of prolonged grief disorder (PGD) and its symptoms among the bereaved population in China vary considerably.Aims This meta-analysis aims to estimate the prevalence of PGD and its symptoms among ...

The COVID-19 pandemic has profoundly impacted global economies and healthcare systems, revealing critical vulnerabilities in both. In response, our study introduces a sensitive and highly specific detection method for cD...

A model-agnostic data enhancement (MADE) algorithm is proposed to comprehensively investigate the circular dichroism (CD) properties in the higher-order diffracted patterns of two-dimensional (2D) chiral metamaterials po...