Results 61 to 70 of about 44,247 (253)

Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods

International Journal of Antennas and Propagation, 2018
Antenna array pattern synthesis technology plays a vital role in the field of smart antennas. It is well known that the pattern synthesis of homogeneous array is the key topic of pattern synthesis technology.
Ting Wang, Ke-Wen Xia, Ning Lu
doaj   +1 more source

Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics

Mathematics, 2023
Compressed sensing is an alternative to Shannon/Nyquist sampling for acquiring sparse or compressible signals. Sparse coding represents a signal as a sparse linear combination of atoms, which are elementary signals derived from a predefined dictionary ...
Ke-Lin Du, M. N. S. Swamy, Zhang-Quan Wang, Wai Ho Mow   +3 more
doaj   +1 more source

PANoptosis in the pathogenesis of myelodysplastic syndromes

Molecular Oncology, EarlyView.
PANoptosis, a combination of three types of programmed cell death, is mediated by a large protein complex called a PANoptosome. In healthy bone marrow hematopoietic cells, PANoptosis is restricted by inhibitory signaling. In MDS, bone marrow cells become sensitive to the PANoptotic stimuli due to the aberrant inactivation of inhibitory signaling or ...
Rohit Thalla, Jyoti Lamichhane, Cameron Lewis, Peter Breslin, Jiwang Zhang   +4 more
wiley   +1 more source

Coherent DOA estimation based on low-rank matrix recovery with coprime arrays in nonuniform noise

EURASIP Journal on Advances in Signal Processing
In this paper, a novel low-rank matrix recovery-based direction of arrival estimation algorithm is proposed for coherent signals with coprime arrays under nonuniform noise conditions.
Youzhen Yang, Jianhui Wang, Zhenyu Wang
doaj   +1 more source

An Optimal Hybrid Nuclear Norm Regularization for Matrix Sensing With Subspace Prior Information

IEEE Access, 2020
Matrix sensing refers to recovering a low-rank matrix from a few linear combinations of its entries. This problem naturally arises in many applications including recommendation systems, collaborative filtering, seismic data interpolation and wireless ...
Siavash Bayat, Sajad Daei
doaj   +1 more source

Uniqueness conditions for low-rank matrix recovery [PDF]

Applied and Computational Harmonic Analysis, 2011
The authors address the problem of recovering an unknown low-rank matrix from few linear measurements. In this respect, they consider the theoretical question of how many measurements are needed via any method whatsoever -- tractable or not, and show thet for a family of random measurements ensembles \(m \geqslant 4nr - 4r^2\) and \(m \geqslant 2nr - r^
Eldar, Y. C., Needell, D., Plan, Y.
openaire   +2 more sources

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

FEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin, Naghme Radmannia, David N. Huynh, Liliane Ménard, Caroline Daneault, Maïté Veilleux, Ahsanullah Ahsanullah, André C. Carpentier, William D. Lubell, Matthieu Ruiz, Huy Ong, Sylvie Marleau, Simon‐Pierre Gravel   +12 more
wiley   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Low-rank matrix recovery with Ky Fan 2-k-norm [PDF]

Journal of Global Optimization, 2019
AbstractLow-rank matrix recovery problem is difficult due to its non-convex properties and it is usually solved using convex relaxation approaches. In this paper, we formulate the non-convex low-rank matrix recovery problem exactly using novel Ky Fan 2-k-norm-based models.
Xuan Vinh Doan, Stephen A. Vavasis
openaire   +5 more sources