Exploring the interplay of electron density distribution and electrostatic potential in the interaction of nilutamide and flutamide with androgen receptors using quantum crystallography. [PDF]
Balasubramanian H +4 more
europepmc +1 more source
Semiclassical inequalities for Dirichlet and Neumann Laplacians on convex domains
Abstract We are interested in inequalities that bound the Riesz means of the eigenvalues of the Dirichlet and Neumann Laplacians in terms of their semiclassical counterpart. We show that the classical inequalities of Berezin–Li–Yau and Kröger, valid for Riesz exponents γ≥1$\gamma \ge 1$, extend to certain values γ<1$\gamma <1$, provided the underlying ...
Rupert L. Frank, Simon Larson
wiley +1 more source
Laplacian filter attention with style transfer GAN for brain tumor MRI imputation. [PDF]
Na Y +7 more
europepmc +1 more source
Mechanical Behavior and Damage Evolution in Additively Manufactured Spinodoids
ABSTRACT This research focuses on the mechanical behavior and damage evolution of additively manufactured spinodoid metamaterials under quasi‐static loading. Additive manufacturing (AM), especially laser powder bed fusion (LPBF), enables the fabrication of complex geometries from digital models and is particularly suited for architected materials like ...
Vishal Sreenivasa, Michael Kaliske
wiley +1 more source
PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]
Xu X, Wang C, Wei GW, Chen J.
europepmc +1 more source
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
A Laplacian-based framework for finite element human body model positioning. [PDF]
Chen S, Li X.
europepmc +1 more source
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley +1 more source
Diagnosis based image quality assessment and enhancement for low dose CT image. [PDF]
Nirupama B +4 more
europepmc +1 more source
A Construction of Cospectral Graphs for the Normalized Laplacian [PDF]
Steve Butler, Jason Grout
openalex +1 more source

