نتایج جستجو برای: and svd

تعداد نتایج: 16827703  

2013
Joanna M Wardlaw Eric E Smith Geert J Biessels Charlotte Cordonnier Franz Fazekas Richard Frayne Richard I Lindley John T O'Brien Frederik Barkhof Oscar R Benavente Sandra E Black Carol Brayne Monique Breteler Hugues Chabriat Charles DeCarli Frank-Erik de Leeuw Fergus Doubal Marco Duering Nick C Fox Steven Greenberg Vladimir Hachinski Ingo Kilimann Vincent Mok Robert van Oostenbrugge Leonardo Pantoni Oliver Speck Blossom C M Stephan Stefan Teipel Anand Viswanathan David Werring Christopher Chen Colin Smith Mark van Buchem Bo Norrving Philip B Gorelick Martin Dichgans

Cerebral small vessel disease (SVD) is a common accompaniment of ageing. Features seen on neuroimaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. SVD can present as a stroke or cognitive decline, or can have few or no symptoms. SVD frequently coexists with neurodegenerative disease, and can exacerbate c...

Journal: :Stroke 2007
Usman Khan Ahamad Hassan Patrick Vallance Hugh S Markus

BACKGROUND AND PURPOSE Endothelial dysfunction may play a causal role in cerebral small vessel disease (SVD). Asymmetric dimethylarginine (ADMA), a circulating endogenous inhibitor of nitric oxide, has been implicated in endothelial dysfunction, particularly in hyperhomocystinemia, a known risk factor for SVD. We determined if ADMA was elevated in SVD, correlated with disease severity, and inte...

Journal: :Inf. Sci. 2009
Jun-Ki Min Chun-Hee Lee Chin-Wan Chung

Approximate query answering has recently emerged as an effective method for generating a viable answer. Among various techniques for approximate query answering, wavelets have received a lot of attention. However, wavelet techniques minimizing the root squared error (i.e., the L2 norm error) have several problems such as the poor quality of reconstructed data when the original data is biased. I...

Journal: :Journal of the American Geriatrics Society 2014
Michelle C Odden Laura M Yee Alice M Arnold Jason L Sanders Calvin Hirsch Christopher deFilippi Jorge R Kizer Marco Inzitari Anne B Newman

OBJECTIVES To determine the contribution of gradations of subclinical vascular disease (SVD) to the likelihood of longer survival and to determine what allows some individuals with SVD to live longer. DESIGN Cohort study. SETTING Cardiovascular Health Study. PARTICIPANTS Individuals born between June 30, 1918, and June 30, 1921 (N = 2,082; aged 70-75 at baseline (1992-93)). MEASUREMENTS...

Journal: :Numerical Linear Algebra with Applications 2019

2011
G. B. Andresen M. D. Ashkezari M. Baquero - Ruiz W. Bertsche P. D. Bowe S. Eriksson J. Fajans D. R. Gill A. Gutierrez J. S. Hangst W. N. Hardy S. Jonsell L. V. Jørgensen L. Kurchaninov N. Madsen J. T. K. McKenna S. Menary P. Nolan K. Olchanski A. Olin A. Povilus P. Pusa F. Robicheaux J. Sampson C. So J. W. Storey R. I. Thompson D. Wells D. P. van der Werf Y. Yamazaki

ALPHA is one of the experiments situated at CERN’s Antiproton Decelerator (AD). A Silicon Vertex Detector (SVD) is placed to surround the ALPHA atom trap. The main purpose of the SVD is to detect and locate antiproton annihilation events by means of the emitted charged pions. The SVD system is presented with special focus given to the design, fabrication and performance of the modules.

2008
André Schneider Peter Benner Patrick Kürschner

The reduction of parasitic linear subcircuits is one of many issues in model order reduction (MOR) for VLSI design. This issue is well explored, but the structure of these subcircuits has been changing recently. So far, the number of elements in these subcircuits was significantly larger than the number of connections to the whole circuit, the so called pins or terminals. This assumption is no ...

2017
Gordon W. Blair Maria Valdez Hernandez Michael J. Thrippleton Fergus N. Doubal Joanna M. Wardlaw

OPINION STATEMENT Cerebral small vessel disease (SVD) is characterised by damage to deep grey and white matter structures of the brain and is responsible for a diverse range of clinical problems that include stroke and dementia. In this review, we describe advances in neuroimaging published since January 2015, mainly with magnetic resonance imaging (MRI), that, in general, are improving quantif...

Journal: :CoRR 2017
Ziwei Zhang Peng Cui Jian Pei Xiao Wang Wenwu Zhu

Singular Value Decomposition (SVD) is a popular approach in various network applications, such as link prediction and network parameter characterization. Incremental SVD approaches are proposed to process newly changed nodes and edges in dynamic networks. However, incremental SVD approaches suffer from serious error accumulation inevitably due to approximation on incremental updates. SVD restar...

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