Nonprecious group metal (NPGM)‐based single atom catalysts (SACs) hold a great potential
in electrocatalysis and dopant engineering has been extensively exploited to boost their …

Emotion recognition based on multi-channel electroencephalograph (EEG) signals is
becoming increasingly attractive. However, the conventional methods ignore the spatial …

Using prompts to utilize language models to perform various downstream tasks, also known
as prompt-based learning or prompt-learning, has lately gained significant success in …

Traditional calcination usually causes sintering of Pt, which diminishes Pt exposure in
proton exchange membrane fuel cell (PEMFC) electrodes. In the present work, a facile self‐…

Although capsule-like materials as host carriers for enzyme encapsulation have been a hot
topic in recent years, creating an ideal microenvironment for enhanced enzymatic …

Using electroencephalogram (EEG) signal to recognize emotional states has become a
research hotspot of affective computing. Previous emotion recognition methods almost ignored …

The volatile composition of cocoa from 16 accessions covering three different morphogenetic
groups, namely, Criollo, Forastero, and Trinitario, was investigated. Fifty-three compounds …

Nanoemulsions (NEs) are used as transdermal drug delivery systems for systematic
therapeutic purposes. We hypothesized that the skin permeation profile of an NE could be …

Two-photon polymerization of a three-dimensional (3D) hydrogel structure has been widely
applied in biological tissue engineering. For improving the biocompatibility of hydrogel …

Fusing multichannel neurophysiological signals to recognize human emotion states becomes
increasingly attractive. e conventional methods ignore the complementarity between time …