IMPORTANCE Intracranial arterial stenosis (ICAS) and small vessel disease (SVD) may coexist. There are limited data on the frequency and risk factors for coexistent SVD and the effect of SVD on stroke recurrence in patients receiving medical treatment for ICAS. OBJECTIVE To investigate the frequency and risk factors for SVD and the effect of SVD on stroke recurrence in patients with ICAS. D...

Approximation of matrices using the Singular Value Decomposition (SVD) plays a central role in many science and engineering applications. However, the computation cost of an exact SVD is prohibitively high for very large matrices. In this paper, we describe a GPU-based approximate SVD algorithm for large matrices. Our method is based on the QUIC-SVD introduced by [6], which exploits a tree-base...

Introduction. Late onset depressive symptoms (LODSs) frequently occur in elderly with cerebral small vessel disease (SVD). SVD cannot fully explain LODS; a contributing factor could be amygdala volume. We investigated the relation between amygdala volume and LODS, independent of SVD in 503 participants with symptomatic cerebral SVD. Methods. Patients underwent FLAIR and T1 scanning. Depressive ...

BACKGROUND Prosthesis-patient mismatch (P-PtM) after aortic valve replacement results in disturbed valve performance associated with increased pressure gradients. However, it is unknown whether this can be related to future structural valve deterioration (SVD) of the bioprosthesis. METHODS AND RESULTS In 564 patients (mean age, 74+/-5 years) receiving an aortic valve bioprosthesis, clinical f...

Objective: Cerebral small vessel disease (SVD) is associated with increased mortality, disability and cognitive decline, depression in stroke survivors. This study examined the association between SVD burden, defined by a combination of SVD markers, and health-related quality of life (HRQoL) in acute ischemic stroke. Methods: Patients admitted with acute ischemic stroke of any etiology were pro...

This paper considers a way of generalizing the t-SVD third-order tensors (regarded as tubal matrices) to arbitrary order $$N$$ [which can be similarly regarded $$(N-1)$$ ]. Such generalization is different from for greater than three (Martin et al. in SIAM J Sci Comput 35(1):A474–A490, 2013). The decomposition called Hot-SVD, since it recognized tensor–tensor product version celebrated higher S...