Results 191 to 200 of about 5,548 (262)
Mechanical Activation of Piezo1 Drives Osteoarthritis Through Kdm5c‐Mediated Epigenetic Silencing
Excessive mechanical stress activates Piezo1, triggering Ca2+‐dependent cytoskeletal forces that deform the nucleus and reduce H3K4me3. Kdm5c demethylates H3K4me3 at Col2a1 and Runx3 promoters. Kdm5c knockout rescues degradation. Repurposed telmisartan directly inhibits Kdm5c, blocking this axis and showing disease‐modifying efficacy in mouse OA models
Tianyou Kan +13 more
wiley +1 more source
An accelerating wind tunnel for testing untethered bodies in transverse gusts. [PDF]
Viola IM +5 more
europepmc +1 more source
Interacting Parallel Fluidic Hysterons
The parallel coupling of fluidic hysterons is introduced, establishing advanced functionalities in inflatable soft systems. A pressure–volume framework reveals how preset volumes Δv∗${\Delta }v^*$ tune nonlinear interactions between hysterons and actuation sequences without changing architecture. Experiments validate the predictions, opening new routes
Katrien Stinissen +2 more
wiley +1 more source
Oceanic fronts shape hemispheric contrasts in polar stratospheric extremes. [PDF]
Omrani NE +5 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
Global stalled tropical cyclones in a changing climate. [PDF]
Deng Z +4 more
europepmc +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
A physics-guided machine learning framework for enhancing dust storm visibility prediction in arid and semi-arid regions. [PDF]
Xu C +8 more
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
A trace amount of boron is introduced into NbTaTi1.5V RHEA, forming a finegrained BCC+TiO+TiB microstructure. The TiB phase generates numerous dislocations, strengthening the alloy. The alloy exhibits 3610 MPa compressive fracture strength and 1060 HV microhardness, while retaining 14.8% fracture strain.
Da Wu +9 more
wiley +1 more source

