Results 91 to 100 of about 5,981 (227)
We analyze the theoretical properties of an adaptive Legendre-Galerkin method in the multidimensional case. After the recent investigations for Fourier-Galerkin methods in a periodic box and for Legendre-Galerkin methods in the one dimensional setting ...
Canuto, Claudio +2 more
core +1 more source
Abstract Introduction Process‐based restoration is novel in livestock production systems of the Northern Great Plains (NGP), and limited region‐specific evidence can impede adoption. We investigated the effects of methods such as beaver dam analogs (BDAs) on NGP plant communities.
James A. Bolyard +2 more
wiley +1 more source
Inverse Design for Robust Inference in Integrated Computational Spectrometry
This work demonstrates that integrated computational spectrometers can be inverse‐designed to substantially improve noise tolerance without relying on training data or specific inference algorithms, offering an alternative to conventional end‐to‐end co‐design strategies.
Wenchao Ma +3 more
wiley +1 more source
Numerical solution of volterra integral equations with weakly singular kernel using legendre wavelet method [PDF]
The presented paper investigates a new numerical method based on the characteristics of Legendre wavelet for solving Volterra Integral equations in this method,With the help of block-pulse functions and their characteristics, we obtain the fractional ...
Ali Khani, Nader Belalzadeh
doaj +1 more source
Parametric PDEs: Sparse or Low-Rank Approximations?
We consider adaptive approximations of the parameter-to-solution map for elliptic operator equations depending on a large or infinite number of parameters, comparing approximation strategies of different degrees of nonlinearity: sparse polynomial ...
Bachmayr, Markus +2 more
core
Early synapsids neurosensory diversity revealed by CT and synchrotron scanning
Abstract Non‐mammaliaform synapsids (NMS) represent the closest relatives of today's mammals among the early amniotes. Exploring their brain and nervous system is key to understanding how mammals evolved. Here, using CT and Synchrotron scanning, we document for the first time three extreme cases of neurosensory and behavioral adaptations that probe ...
J. Benoit +6 more
wiley +1 more source
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault +6 more
wiley +1 more source
What If Each Voxel Were Measured With a Different Diffusion Protocol?
ABSTRACT Purpose Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low‐field devices brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients make diffusion weightings and directions non‐uniform across the field of view, and deform perfect ...
Santiago Coelho +7 more
wiley +1 more source
Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu +2 more
wiley +1 more source
ABSTRACT This study investigates the metazoan biodiversity in the Southern Adriatic Sea using environmental DNA (eDNA) metabarcoding. Sediment and adjacent water samples were collected from three sites (one pristine, two impacted by human activities) at three distances from the coast across two seasons.
Alice Tagliabue +8 more
wiley +1 more source

