Results 91 to 100 of about 243,973 (317)
The E-eigenvectors of tensors [PDF]
17 ...
Liqun Qi, Shenglong Hu
openaire +4 more sources
Ruminant meat is widely appreciated for its distinctive flavor. Lipids play a central role in influencing meat flavor, yet their genetic and biochemical basis remains largely unexplored. Here, a comprehensive lipid genetic map of sheep muscle is constructed and 20 candidate genes potentially modulating lipid levels are identified to provide a roadmap ...
Xueying Zhang +17 more
wiley +1 more source
BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti +8 more
wiley +1 more source
Finding Octonionic Eigenvectors Using Mathematica
The eigenvalue problem for 3x3 octonionic Hermitian matrices contains some surprises, which we have reported elsewhere. In particular, the eigenvalues need not be real, there are 6 rather than 3 real eigenvalues, and the corresponding eigenvectors are ...
Ablamowicz +16 more
core +2 more sources
By integrating synaptic vesicle glycoprotein 2A PET imaging and transcriptomics, this study identifies Rho‐associated protein kinase 2 (ROCK2) as a critical regulator of synaptic network dysfunction in temporal lobe epilepsy. Pharmacological ROCK2 inhibition restores synaptic density and enhances mitophagy, thereby reducing seizures and neuronal damage.
Ling Xiao +14 more
wiley +1 more source
The Number of Eigenvalues of a Tensor
Eigenvectors of tensors, as studied recently in numerical multilinear algebra, correspond to fixed points of self-maps of a projective space. We determine the number of eigenvectors and eigenvalues of a generic tensor, and we show that the number of ...
Bedford +11 more
core +1 more source
Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley +1 more source
On the spectrum of tridiagonal matrices with two-periodic main diagonal
We find the spectrum and eigenvectors of an arbitrary irreducible complex tridiagonal matrix with two-periodic main diagonal. This is expressed in terms of the spectrum and eigenvectors of the matrix with the same sub- and superdiagonals and zero main ...
Dyachenko Alexander, Tyaglov Mikhail
doaj +1 more source
Improved complete neighbourhood preserving embedding for face recognition
Complete neighbourhood preserving embedding (CNPE) is a recently proposed approach to overcome the drawbacks of neighbourhood preserving embedding (NPE) which is difficult to directly apply to face recognition because of computational complexity. However,
Gui‐Fu Lu, Yong Wang, Jian Zou
doaj +1 more source
A switchable bidirectional acoustic metastructure is proposed, enabling broadband and frequency‐selective absorption via interleaved resonator coupling and exceptional point modulation. It outperforms traditional unidirectional designs, offering compact, efficient sound control from both directions and establishing a generalized framework for extending
Zichao Guo +7 more
wiley +1 more source

