Results 201 to 210 of about 542,277 (296)
Domain-specific languages [PDF]
openaire +1 more source
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source
An Efficient Communication Analysis of Modal Typology. [PDF]
Imel N, Guo Q, Steinert-Threlkeld S.
europepmc +1 more source
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou +4 more
wiley +1 more source
Spectrotemporal Modulation Sensitivity in Speech and Melody Processing Among Mandarin Speakers. [PDF]
Lyu B +5 more
europepmc +1 more source
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source
Photothermal‐Activated Antibacterial Amyloid‐Polyphenol‐Iron Hydrogels for Synergistic Wound Healing
We report a thermally triggered supramolecular hydrogel (LTFe) formed by Fe3+ and tannic acid on lysozyme amyloid fibrils. Fe3+ enables rapid gelation and photothermal transduction with an efficiency of 88.56%. The LTFe hydrogel exhibits excellent biocompatibility, potent antibacterial activity against E. coli and S.
Di Wu +8 more
wiley +1 more source
ParkMAE: a cross-linguistic masked autoencoder framework for robust Parkinson's disease detection from speech. [PDF]
Ando A, Lesage A, De Gennes M, Riad R.
europepmc +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source

