Results 181 to 190 of about 4,660 (265)

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

open access: yesAdvanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale   +6 more
wiley   +1 more source

Simultaneous Wastewater‐to‐Hydrogen Upgrading via Mechanically Driven Piezocatalysis Over Ag‐ZnO Nanorods

open access: yesAdvanced Science, EarlyView.
A piezocatalytic strategy enables simultaneous wastewater purification and hydrogen generation by harnessing mechanical energy. Complementary piezo‐induced charges are selectively directed toward oxidation and reduction pathways, achieving efficient pollutant degradation and continuous H2 evolution.
Yiqing Wei   +8 more
wiley   +1 more source

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

open access: yesAdvanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley   +1 more source

Pesticide Residues in Fruits: From Surveillance Data to Risk-Based Interpretation and Mitigation. [PDF]

open access: yesMolecules
Chmielewski J   +5 more
europepmc   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

open access: yesAdvanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang   +10 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy