Results 61 to 70 of about 87,394 (276)
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem [PDF]
, 2014 The 0-1 knapsack problem is a well-known combinatorial optimisation problem. Approximation algorithms have been designed for solving it and they return provably good solutions within polynomial time.
Dong, Hongbin, He, Feidun, He, Jun
core
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Algorithms, 2022 An accelerated least-squares approach is introduced in this work by incorporating a greedy point selection method with randomized singular value decomposition (rSVD) to reduce the computational complexity of missing data reconstruction.
Siriwan Intawichai, Saifon Chaturantabut
doaj +1 more source
Greedy Methods For Simultaneous Sparse Approximation
, 2014 Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
Belmerhnia, Leila +2 more
openaire +2 more sources
Convergence of greedy approximation for the trigonometric system [PDF]
Analysis Mathematica, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Konyagin, S. V., Temlyakov, V. N.
openaire +3 more sources
Constrained Submodular Maximization: Beyond 1/e
, 2016 In this work, we present a new algorithm for maximizing a non-monotone submodular function subject to a general constraint. Our algorithm finds an approximate fractional solution for maximizing the multilinear extension of the function over a down-closed
Ene, Alina, Nguyen, Huy L.
core +1 more source
Predicting Loss of Ambulation in Limb Girdle Muscular Dystrophy R9
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Limb girdle muscular dystrophy type R9 (LGMDR9) results from biallelic variants in FKRP. There is limited data to predict loss of ambulation (LOA) among those with LGMDR9. Methods Participants in an ongoing dystroglycanopathy natural history study (NCT00313677) with FKRP variants who had achieved ambulation and were more than 3 ...
Chandra L. Miller +6 more
wiley +1 more source
Approximating the MaxCover Problem with Bounded Frequencies in FPT Time [PDF]
, 2013 We study approximation algorithms for several variants of the MaxCover problem, with the focus on algorithms that run in FPT time. In the MaxCover problem we are given a set N of elements, a family S of subsets of N, and an integer K. The goal is to find
Faliszewski, Piotr, Skowron, Piotr
core
Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz +11 more
wiley +1 more source