Results 201 to 210 of about 165,652 (260)

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

open access: yesAnnals 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
wiley   +1 more source

Prognostic Value of Neurofilament Light Chain and Glial Fibrillary Acidic Protein in ALD‐Related Myelopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak   +4 more
wiley   +1 more source

Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study

open access: yesAnnals 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
wiley   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng   +4 more
wiley   +1 more source
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Solving non-linear arithmetic

ACM Communications in Computer Algebra, 2012
We propose a new decision procedure for the existential theory of the reals. It performs a backtracking search for a model in R, where the backtracking is powered by a novel conflict resolution procedure based on cylindrical algebraic decomposition. The initial experimental results are very encouraging.
Dejan Jovanovic   +1 more
openaire   +1 more source

Non-Linear Ski Rental

Theory of Computing Systems, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boaz Patt-Shamir, Evyatar Yadai
openaire   +1 more source

Tissue non-linearity

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2009
The propagation of acoustic waves is a fundamentally non-linear process, and only waves with infinitesimally small amplitudes may be described by linear expressions. In practice, all ultrasound propagation is associated with a progressive distortion in the acoustic waveform and the generation of frequency harmonics.
openaire   +2 more sources

Non-Linear Vibrations

1986
This book expounds the theory of non-linear vibrations, a topic of great interest at present because of its many applications to important fields in physics and engineering. After introducing chapters giving the basic techniques for the study of non-linear systems the authors develop in detail the theory of selected topics encountered in their own work,
G. Schmidt, A. Tondl
openaire   +1 more source

Parallel non-linear dichotomizers

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000
We present a new learning machine model for classification problems, based on decompositions of multiclass classification problems in sets of two-class subproblems, assigned to nonlinear dichotomizers that learn their task independently of each other. The experimentation performed on classical data sets, shows that this learning machine model achieves ...
MASULLI, FRANCESCO, G. Valentini
openaire   +2 more sources

Non-Linearities and Equivalence Scales

The Economic Journal, 1993
This paper focuses on the estimation and testing of equivalence scales in the context of a demand system with nonline ar logarithmic expenditure effects in its budget-share equations. The authors show that such nonlinearity enables one to identify the scal es without demographic separability restrictions on preferences and to avoid false rejection of ...
Dickens, Richard   +5 more
openaire   +2 more sources

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