Results 91 to 100 of about 45,363 (219)
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li +15 more
wiley +1 more source
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng +15 more
wiley +1 more source
Dynamical analysis of electroosmotic transport of bionic gyrotactic microorganisms with graphene oxide blood nanofluid through thermal ciliated channel. [PDF]
Ajmal M +5 more
europepmc +1 more source
Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas +10 more
wiley +1 more source
Gravity-Driven Microfluidic Viscosity Measurement with a Small Capillary Radius and Strong Pinning Effect. [PDF]
Dong J, Liu B, Ai X, Zhang Q.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Wave turbulence and cortical dynamics. [PDF]
Cooray GK.
europepmc +1 more source
We proposed a method based on the piezoelectric effect and fabricated an implant abutment on the basis of piezoelectric ceramic. Under physiological occlusal pressure, the oral motion‐powered smart dental implant abutments interacted with water and oxygen, promoting the formation of reactive oxygen species and achieving a synergistic and highly ...
Xiyu Shi +15 more
wiley +1 more source
Progesterone is inversely associated with optic nerve sheath diameter in dogs: a cross-sectional analysis. [PDF]
Özcan C +3 more
europepmc +1 more source

