Results 141 to 150 of about 121,870 (266)
Cramer-Rao Bounds for Laplacian Matrix Estimation
In this paper, we analyze the performance of the estimation of Laplacian matrices under general observation models. Laplacian matrix estimation involves structural constraints, including symmetry and null-space properties, along with matrix sparsity.
Halihal, Morad +2 more
openaire +2 more sources
Effects and Correction of Patient Bulk Motion in Cranial DENSE MRI
ABSTRACT Purpose Applications of DENSE to measure cardiac driven brain tissue pulsations are highly sensitive to bulk patient motion due to the sub‐millimeter displacement encoding required, limiting its accuracy, reproducibility, and use in pediatric and aging populations.
Caroline A. Doctor +4 more
wiley +1 more source
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
Investigation of Solution Accuracy in PFEM Simulations Using Benchmark Problems
ABSTRACT The simulation of large topological changes, such as those occurring in Cone Penetration Testing (CPT) and vibratory pile driving, remains a major challenge in computational geomechanics. Excessive mesh distortions render classical approaches like the Finite Element Method (FEM) unsuitable, emphasizing the need for alternative methodologies ...
Antaeus Bettmann +4 more
wiley +1 more source
Stabilized Finite Elements for Incompressible, Stationary Navier–Stokes Flows on Manifolds
ABSTRACT A surface finite element method with residual‐based stabilization for stationary Navier–Stokes flows on curved manifolds is introduced. The mixed formulation in stress‐divergence form leads to a system of equations that has a saddle‐point structure.
Michael Wolfgang Kaiser +1 more
wiley +1 more source
Abstract INTRODUCTION Alzheimer's disease (AD) is a heterogeneous disease with diverse disease progression trajectories and brain pathology. Identifying AD subtypes is essential for understanding AD etiology, heterogeneity, and developing precise treatment. METHODS We applied a subspace‐merging algorithm to integrate multi‐omics data from brain tissues
Ziyan Song +5 more
wiley +1 more source
Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley +1 more source
Clinical Applications of Electrical Conductivity Imaging Using MRI
ABSTRACT Magnetic resonance imaging (MRI) has emerged as a noninvasive technique for probing the electrical properties of biological tissues: electrical conductivity and relative permittivity. This review focuses on the electrical conductivity and provides a comprehensive overview of applications across both low‐ and high‐frequency regimes.
Stefano Mandija +14 more
wiley +1 more source
Insights Into Bifenthrin Stereoisomers and Their Regulatory Implications
Bifenthrin is a pyrethroid insecticide with two stereogenic centers, generating four stereoisomers with distinct physicochemical and electronic properties. A combined crystallographic and density functional theory study, supported by Hirshfeld surface, quantum theory of atoms in molecules, natural bond orbital, and reactivity descriptor analyses ...
Nayara C. M. Santos +7 more
wiley +1 more source
e-Adjacency matrix and e-Laplacian matrix of semigraph
openaire +1 more source

