Results 221 to 230 of about 61,671 (307)
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
When protein stability drives tumor progression. [PDF]
Tabarkiewicz J +3 more
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
Toward standardized environmental detection of antibiotics and ARGs for regulatory interpretation and concern tiering. [PDF]
Pi N +8 more
europepmc +1 more source
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
From Epithelial Sensing to Visceral Pain: Neuropod and Enterochromaffin Cells in Gut Neuroepithelial Circuits. [PDF]
Nowacka A +2 more
europepmc +1 more source
Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu +11 more
wiley +1 more source
Digital Health Innovation by Design: A Logic Model Scaffold for Rural, Regional, and Remote Settings. [PDF]
Krahe MA, Adams N, Larkins SL.
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

