Results 201 to 210 of about 101,617 (291)
Fully programmable, in‐process 3D magnetization integrated with multi‐material printing enables soft magnetic systems with precise actuation and sensing. Discrete and continuous magnetization profiles drive bending, morphing, and locomotion, demonstrated through strain‐sensing elements, dragonfly‐inspired wings, octopus‐like tentacles, and a serpentine
Phillip Glass +5 more
wiley +1 more source
Volume-Law Entropy as a Mesoscopic Anomaly. [PDF]
Bougueroua L.
europepmc +1 more source
Designer Dynamic DNA Nanoaggregate in Living Cell for Mitochondrial Energy Restriction
This study presents the Tech‐tetrahedron, a designer dynamic DNA nanoaggregate engineered for precise mitochondrial energy restriction. Its trinity‐functionalized design integrates navigable unit, telomerase‐activated latch, and self‐assembly module.
Ruijia Deng +12 more
wiley +1 more source
From visibility graphs to cognition. [PDF]
Gautam S, Grigolini P.
europepmc +1 more source
Integrated clinical and mechanistic analyses identify GALNT7 as a ferroptosis‐suppressive regulator associated with immunotherapy resistance in non‐small cell lung cancer. GALNT7 depletion promotes lipid peroxidation, mitochondrial dysfunction, and ferroptosis, enhances CD8+ T‐cell activation and IFN‐γ production, and sensitizes tumors to PD‐1 blockade,
Jiadi Gan +11 more
wiley +1 more source
Research on strength prediction model of manufactured sand concrete during steam curing stage based on equivalent age. [PDF]
Li F +5 more
europepmc +1 more source
We demonstrate how oxygen‐deficient ruthenium oxide (RuOx) nanoparticles confined within covalent organic framework achieve highly efficient nitrate‐to‐ammonia conversion. Strong interaction between RuOx nanoparticles and COF results in modified interfacial hydrogen‐bond water network and adsorption of nitrogenous intermediates.
Yun Li +6 more
wiley +1 more source
Study on Permeability Coefficient of Saturated Clay Modified by Fractal Theory and Poiseuille Theory. [PDF]
Guo L, Xin X, He K.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source

