Emerging Extraction Technologies and Molecular Implications for Greek Olive Products: A Commentary. [PDF]
Athanasiadis V.
europepmc +1 more source
Silicon Nitride Resistive Memories
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis +7 more
wiley +1 more source
Risk Stratification of Patients Being Considered for Open Abdominal Aortic Aneurysm Repair. [PDF]
Khoury MK +4 more
europepmc +1 more source
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun +5 more
wiley +1 more source
Camera-based respiratory rate monitoring in unmodified neonatal intensive care - a cross-sectional study in a UK hospital. [PDF]
Grafton A +3 more
europepmc +1 more source
A physics‐guided generative surrogate framework is developed for programmable metasurface beamforming. Mode‐conditioned binary state generation, aperture‐physics prediction, routed residual correction, NSGA‐II optimization, and CST validation are combined to support fast candidate screening and full‐wave beam refinement across single‐beam, dual‐beam ...
Wenqian Liu +4 more
wiley +1 more source
From Skull Density Ratio-based eligibility to efficiency-informed planning: Predictive modeling of thermal response in MR-guided focused ultrasound. [PDF]
Pineda-Pardo JA +8 more
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
CEEMDAN-decomposed time series forecasting of reported hepatitis B cases using KOA-optimised deep learning: a nationwide study in mainland China (2004-2027). [PDF]
Wang Z +7 more
europepmc +1 more source

