Results 131 to 140 of about 3,977,371 (295)
, 2018 Presented as part of the Workshop on Algorithms and Randomness on May 14, 2018 at 4:00 p.m. in the Klaus Advanced Computing Building, Room 1116.Yin Tat Lee is an assistant professor in the Paul G.
Lee, Yin Tat
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Sampling and Probe Methods – An Algorithmical View
Computing, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
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Density Control Through Random Sampling: An Architectural Perspective [PDF]
, 2002 Information visualisation systems often have to cope with presenting large amounts of data. In this paper we look at the problem of reducing the display density through the use of random sampling.
Dix, A. +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
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Use of OC curves in quality control with an example of sampling for mycotoxins [PDF]
, 2011 An ‘operating characteristics’ (OC) curve is a simple tool that has been in use in quality control for many years but does not seem to be widely applied in the particulate sampling field.
Bourgeois, Florent +2 more
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Variable Selection by Perfect Sampling
EURASIP Journal on Advances in Signal Processing, 2002 Variable selection is very important in many fields, and for its resolution many procedures have been proposed and investigated. Among them are Bayesian methods that use Markov chain Monte Carlo (MCMC) sampling algorithms.
Huang Yufei, Djurić Petar M
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Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
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Social Sampling and Algorithmic Mediation
<p>This paper proposes a two-layer model describing how algorithmic mediation transforms the social sampling process into an intervened process, challenging the core assumption of "natural exposure" within the <b>Social Sampling Model</b> (SSM).
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Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
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