Second order regularity for elliptic and parabolic equations involving $p$-Laplacian via a fundamental inequality [PDF]
Hongjie Dong +3 more
openalex +1 more source
A suture in time: The ontogeny of cranial suture morphology in mammals
Mammal cranial sutures are important indicators of the biomechanical and developmental pressures acting upon the skull. Across three prominent sutures dividing the vault of the mammalian skull, divergent patterns emerge both taxonomically and developmentally.
Heather E. White +4 more
wiley +1 more source
Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis. [PDF]
Moslemi A +4 more
europepmc +1 more source
A spatiotemporal prediction method for the evolution of pavement distress in road networks
Abstract Existing pavement performance prediction models often struggle to capture complex spatiotemporal dependencies in road networks due to reliance on empirical rules and scenario‐based calibration. This study proposes pavement graph network (PaveGNet), a spatiotemporal graph network framework designed to model fine‐grained pavement distress ...
Ning Pan +2 more
wiley +1 more source
Extracting robust single-trial somatosensory evoked potentials for non-invasive brain computer interfaces. [PDF]
Gupta D +4 more
europepmc +1 more source
Two generalized Lyapunov-type inequalities for a fractional p-Laplacian equation with fractional boundary conditions. [PDF]
Liu Y, Xie D, Yang D, Bai C, Bai C.
europepmc +1 more source
Multiple solutions for a parametric Steklov problem involving the
Aboubacar Abdou +2 more
openalex +1 more source
$L^p$ estimates for the Laplacian via blow-up [PDF]
Jan Lewenstein-Sanpera +1 more
openalex +1 more source
Abstract A leak in a water distribution network (WDN) creates a localized pressure depression whose effect diffuses along the network topology through headloss coupling. This spatial diffusion is well approximated by graph Laplacian smoothing, so we use a graph convolutional network as a learnable surrogate of hydraulic information propagation on the ...
Zhengxuan Li, Yimei Tian, Sen Peng
wiley +1 more source
Research on the Consensus Convergence Rate of Multi-Agent Systems Based on Hermitian Kirchhoff Index Measurement. [PDF]
Deng H, Wu T.
europepmc +1 more source

