Results 91 to 100 of about 6,019,459 (297)
Majorization and singular values. III
[For parts I and II see Linear Multilinear Algebra 21, 211--214 (1987; Zbl 0651.15014) and SIAM J. Matrix Anal. Appl. 10, No. 4, 429--434 (1989; Zbl 0686.15006).] Some majorization inequalities are obtained which relate the singular values of a complex square matrix from the corresponding space and those of the complex square matrix obtained by an ...
openaire +2 more sources
The singular values of \(A+B\) and \(A+iB\)
Suppose that \(A\) and \(B\) are Hermitian square matrices. The authors establish some majorisation relations between the singular values of \(A + B\) and those of \(A + iB\), which can regarded as the matrix versions of the inequality \(|a+b| \leq \sqrt{2}\,|a+ib|\) (\(a,b \in \mathbb{R}\)). They prove that \(|||A + B||| \leq \sqrt{2}\,|||A + iB|||\),
Bhatia, Rajendra, Kittaneh, Fuad
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Adaptive template-updating strategy based on singular value decomposition
The problem of image matching and target tracking based on singular value decomposition (SVD) is discussed. The SVD has robust performance that is invariant to image disturbance and it makes the singular value credible to represent the image as an ...
Shi ZL(史泽林) +2 more
core
Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba +5 more
wiley +1 more source
Image matching through combined features of singular value and region
Facing the instability when using the singular value vector separately in image matching, this paper proposes a new algorithm that combines region feature and singular value vector to get a more accurate matching.
Shi ZL(史泽林) +2 more
core
Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara +10 more
wiley +1 more source
svt: Singular Value Thresholding in MATLAB
Many statistical learning methods such as matrix completion, matrix regression, and multiple response regression estimate a matrix of parameters. The nuclear norm regularization is frequently employed to achieve shrinkage and low rank solutions.
Cai Li, Hua Zhou
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Singular polynomials from orbit spaces [PDF]
We consider the polynomial representation S(V*) of the rational Cherednik algebra H_c(W) associated to a finite Coxeter group W at constant parameter c.
Feigin, M., Silantyev, A.
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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 +2 more
wiley +1 more source

