Results 41 to 50 of about 119,018,322 (196)
Application of Symmetric Division Deg Index of Graph Under Fuzzy Environment
Fuzzy graph theory, renowned for its capacity to manage uncertainty and capture varying degrees of relationships, has surfaced as a powerful framework for modeling and addressing complex problems across diverse domains such as medicine, social networks ...
Umapada Jana, Ganesh Ghorai
doaj +1 more source
On Graphs with Maximal Sum of α-th Degree Powers
Let G be a simple graph. The sum of the α-th degree powers of G, denoted by Mα(G), is obtained by summing the α-th powers of all vertex degrees. We use Gn,m to denote the set of all graphs having n vertices and m edges. Extremal problems concerning M2(G)
Bo-Jun Yuan, Jia-Jin Wang
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This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang +9 more
wiley +1 more source
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
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
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
Applications of flag algebras in extremal graph theory
We present an introduction to the theory of flag algebras, a framework under which computer-assisted proofs in asymptotic extremal combinatorics may be derived.
Wang, Richard M.
core +1 more source
Toward High‐Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography
Electron beam lithography (EBL) enables sub‐micron patterning of polymer‐based neural implants, overcoming the resolution limits of optical lithography. By addressing challenges such as charging, non‐planarity, and substrate heating, it supports higher channel density, improved miniaturization, and better long‐term tissue integration.
Hanna Karlsson‐Fernberg, Maria Asplund
wiley +1 more source
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao +14 more
wiley +1 more source

