Results 91 to 100 of about 564,038 (269)

Sparse LMS algorithm for two‐level DSTATCOM

IET Generation, Transmission & Distribution, 2021
Sparse least mean square algorithm is proposed for the DSTATCOM as an optimal current harmonic extractor to cope with the intermittent nature of loadings.
Mrutyunjaya Mangaraj, Anup Kumar Panda
doaj   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source

Von Economo Neuron Loss in Frontotemporal Dementia: A Meta‐Analysis of Neuropathological Studies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Von Economo neurons (VENs) have been reported to be vulnerable to neurodegeneration in frontotemporal dementia (FTD), particularly the behavioral variant (bvFTD), but these findings have not been systematically assessed across independent brain banks.
Daniel Talmasov, Alexander F. Santillo, Patrick R. Hof   +2 more
wiley   +1 more source

Incorporating biological information in sparse principal component analysis with application to genomic data

BMC Bioinformatics, 2017
Background Sparse principal component analysis (PCA) is a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimensional data.
Ziyi Li, Sandra E. Safo, Qi Long
doaj   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Unraveling Mixtures: A Novel Underdetermined Blind Source Separation Approach via Sparse Component Analysis

IEEE Access
Underdetermined blind source separation (UBSS) is a critical technique in the field of intelligent mechanical operation and maintenance that allows for the disentanglement of source signals from their mixtures without the need for prior knowledge or ...
Yanyang Li, Jindong Wang, Haiyang Zhao, Chang Wang, Zhichao Ma   +4 more
doaj   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +15 more
wiley   +1 more source

Robust sparse smooth principal component analysis for face reconstruction and recognition.

PLoS ONE
Existing Robust Sparse Principal Component Analysis (RSPCA) does not incorporate the two-dimensional spatial structure information of images. To address this issue, we introduce a smooth constraint that characterizes the spatial structure information of ...
Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng   +5 more
doaj   +1 more source

Deep Source Separation With Prior

IEEE Access
Blind Source Separation (BSS) methods are used in digital signal processing to recover latent sources from a set of observed mixed signals, with little or no prior knowledge of the sources or the mixing process.
Rodrigo Da Silva Cassimiro, Kenji Nose-Filho, Ricardo Suyama   +2 more
doaj   +1 more source