Functional impact of the ATP1A3-p.A813V variant: insights into a calcium-driven hyperexcitability cascade in rapid-onset dystonia-Parkinsonism. [PDF]
Lim SM +11 more
europepmc +1 more source
Polyelectrolyte scaffold coatings modified with Cu and Fe3O4 nanoparticles regulate neural stem cell behavior in vitro. Increased Fe3O4 content enhances mitochondrial activity and neuronal differentiation, whereas higher Cu levels reduce cell viability.
Anna Grzeczkowicz +5 more
wiley +1 more source
Transcriptomic and pathological analysis of the hnRNP network reveals glial involvement in frontotemporal lobar degeneration pathological subtypes. [PDF]
Gatt A +10 more
europepmc +1 more source
Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley +1 more source
Targeting UCHL3 attenuates pathological markers in neuronal models of Huntington's disease. [PDF]
Ishtayeh H +11 more
europepmc +1 more source
A Hybrid Computational Framework for PCF‐based SPR Sensor With Machine Learning and xAI
A photonic crystal fiber‐based surface plasmon resonance (SPR) sensor integrating rectangular air holes along with conventional circular air holes achieves exceptional wavelength sensitivity of 15,000 nm/RIU across a broad refractive index range of 1.31–1.39. Integrated machine learning with explainable AI (xAI) models achieves high prediction accuracy
Mahabur Rahman Fahim +3 more
wiley +1 more source
Micropatterned neural induction with heat-inactivated extracellular matrix protein by on-demand high-speed laser. [PDF]
Hayashi Y, Matsumoto J, Sumaru K.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Western diet induces iron-dependent enteric neurodegeneration via ferroptosis. [PDF]
Balasubramaniam A +14 more
europepmc +1 more source
JUND-driven stress-responsive astrocytes promote neuronal apoptosis via enhanced gap junction signaling in autism spectrum disorder. [PDF]
Wang Q +13 more
europepmc +1 more source

