Results 71 to 80 of about 197,057 (337)
Classifications of surface waves in magneto-electro-elastic materials
The present study investigates the classifications of surface waves in magneto-electro-elastic materials. First, the standard eigenrelation, relating to the generalized displacement and the generalized tractions, is derived from the governing equations ...
Li Li, Man Lan, Peijun Wei, Qian Zhang
doaj +1 more source
Dirac eigenvalues and eigenvectors at finite temperature
We investigate the eigenvalues and eigenvectors of the staggered Dirac operator in the vicinity of the chiral phase transition of quenched SU(3) lattice gauge theory. We consider both the global features of the spectrum and the local correlations. In the
A. Schäfer +28 more
core +1 more source
Entropy derived from gray matter eigenmodes captures cortical disorganization in Alzheimer's disease. Using multimodal MRI and amyloid‐PET data, this novel structure–function coupling biomarker enables accurate classification of clinical stages, predicts Aβ burden, and stratifies mild cognitive impairment subtypes.
Yumeng Li +5 more
wiley +1 more source
Spectral pruning of fully connected layers
Training of neural networks can be reformulated in spectral space, by allowing eigenvalues and eigenvectors of the network to act as target of the optimization instead of the individual weights.
Lorenzo Buffoni +4 more
doaj +1 more source
Eigenvectors of block circulant and alternating circulant matrices [PDF]
The eigenvectors and eigenvalues of block circulant matrices had been found for real symmetric matrices with symmetric submatrices, and for block circulant matrices with circulant submatrices. The eigenvectors are now found for general block circulant
Tee, Garry J.
core +1 more source
Topologically Protected Negative Entanglement
It is revealed that topological flat‐band edge states can lead to robust unconventional negative entanglement entropy scaling. This arises from a new mechanism of non‐Hermitian critical skin compression (nHCSC), which strongly “compresses” quantum information beyond flat‐band degeneracy.
Wen‐Tan Xue, Ching Hua Lee
wiley +1 more source
The recognition performance of the sample Mahalanobis distance (SMD) deteriorates as the number of learning samples decreases. Therefore, it is important to correct the SMD for a population Mahalanobis distance (PMD) such that it becomes equivalent to ...
Yasuyuki Kobayashi
semanticscholar +1 more source
A Clarification on Quantum‐Metric‐Induced Nonlinear Transport
How does the quantum metric truly govern the nonlinear transport? The longstanding theoretical discrepancies are resolved in quantum‐metric‐induced nonlinear transport and the correct intrinsic nonlinear conductivity is identified. Furthermore, a toy model is engineered to suppress the competing effects, uniquely highlighting the role of quantum metric
Xiao‐Bin Qiang +4 more
wiley +1 more source
ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
wiley +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source

