Results 171 to 180 of about 160,282 (360)
Hierarchical Embedded Sphere Model combines DFT and interpretable machine learning to decode catalytic activity on TM‐doped MO2. It disentangles global electronic, active‐site, and local coordination effects, revealing two activation mechanisms: dopant‐driven (Rh@MO2) and coordination‐mediated (Fe@ZrO2).
Ziyuan Li +5 more
wiley +1 more source
Microwave radar techniques and dedicated signal processing for Vital Signs measurement
Fatima Sekak
openalex +1 more source
Intra-Period Signal Processing in a Synthetic Aperture Radar
Oleg Chernoyarov +3 more
openalex +1 more source
Progressive stiffening of the hepatic extracellular matrix and free fatty acid overload activate the mechanosensor Piezo1 in steatotic hepatocytes, inducing calcium influx and nuclear translocation of Yes‐associated protein. YAP‐dependent nuclear signaling further drives inflammatory and fibrotic gene programs, lipid metabolic reprogramming, and ...
Juan Ma +15 more
wiley +1 more source
Signal processing techniques for phase-coded HF-VHF radars
C. Bianchi +4 more
openalex +2 more sources
A resonant frequency engineering strategy is proposed to modulate the sensibility of piezoresistive textile‐based tactile sensor. It achieves simultaneous detection of static pressure and dynamic vibrations across an unprecedented bandwidth of 5–600 Hz, surpassing human sensation, therefore enables rapid and precise braille recognition.
Xianhong Zheng +17 more
wiley +1 more source
Computation‐Guided Dual‐Site Electrocatalysts for Record‐Performance Nitrite‐to‐Ammonia Conversion
Designing Cu doped ZnO catalysts for NO2RR via first principles calculation and boosting electrocatalytic nitrite reduction through Cu‐ZnO synergistic deoxygenation, hydrogenation, and NH3 desorption. Cu doping elevates the d‐band center of Zn, strengthening *NO2 binding and deoxygenation, while ZnO sites regulate water adsorption and dissociation ...
Hui Zhang +15 more
wiley +1 more source
Radar Signal Processing and Its Impact on Deep Learning-Driven Human Activity Recognition. [PDF]
Ayaz F +6 more
europepmc +1 more source
Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang +9 more
wiley +1 more source

