The mediating role of relative harm perception in the association between social media marketing exposure-engagement patterns and e-cigarette use behaviors: A cross-sectional study. [PDF]
Kang N, Kang H, Cho SI, Park S.
europepmc +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Visual and textual cues in online presentations of natural foods are associated with taste inference and cognitive engagement. [PDF]
Sun L, Wei C, Huang H.
europepmc +1 more source
Cu‐Pd Dual Single Atoms Promoting Selective CO2 Photoreduction to C2 Products in Seawater
Cu and Pd dual single atoms anchored on TiO2 cooperatively enhance C─C coupling during CO2 photoreduction in seawater. Under xenon‐light irradiation and without a sacrificial reagent/alkaline trapping agent, the catalyst achieves highly selective acetic acid formation.
Elhussein M. Hashem +15 more
wiley +1 more source
Research on user acceptance intention of artificial intelligence generated content for museum cultural and creative products. [PDF]
Dongjiao Z, Yunlong Z, Xu J.
europepmc +1 more source
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju +9 more
wiley +1 more source
A Sensor-Centric Survey of Autonomous Driving: Integrating Measurement Physics, Uncertainty Modeling, and Safety-Critical Multi-Sensor Fusion. [PDF]
Iqbal U, Massoud A, Noureldin A.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source
Benefit-Risk Perceptions and Public GenAI Acceptance: A Survey Experiment Based on the Emerging Technology Acceptance Model. [PDF]
Ma N, Lin S, Dong X, Ji H.
europepmc +1 more source

