Results 81 to 90 of about 1,958,095 (294)

Fluorination: A strategy to tune the interactions of molecules and nanoscale systems with biological matter

FEBS Open Bio, EarlyView.
This minireview explores fluorination as a key strategy to optimize therapeutic molecules and nanocarriers. By incorporating different fluorinated motifs—from single atoms to linear and branched chains—drug delivery, cellular uptake, and colloidal stability can be improved and fine‐tuned.
Martina Beccalli, Beatrice Lucia Bona, Francesca Baldelli Bombelli   +2 more
wiley   +1 more source

A new development of non-local image denoising using fixed-point iteration for non-convex ℓp sparse optimization.

PLoS ONE, 2018
We proposed a new efficient image denoising scheme, which mainly leads to four important contributions whose approaches are different from existing ones.
Shuting Cai, Kun Liu, Ming Yang, Jianliang Tang, Xiaoming Xiong, Mingqing Xiao   +5 more
doaj   +1 more source

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, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Distributed Computing Algorithm of Nuclear Norm Minimization for Low-Rank Matrix Completion

IEEE Access
This paper investigates a low-rank matrix completion problem aimed at recovering missing entries in large-scale matrices. While low-rank matrix completion has been widely studied and successfully applied in areas such as collaborative filtering, image ...
Katsumi Konishi, Ryohei Sasaki
doaj   +1 more source

Image Denoising via Nonlocal Low Rank Approximation With Local Structure Preserving

IEEE Access, 2019
The nuclear norm minimization method emerged from a patch-based low-rank model leads to an excellent image denoising performance, where the non-local self-similarity over image patches is exploited.
Zhou Liu, Lei Yu, Hong Sun
doaj   +1 more source

Sex‐Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe, Keizo Sugaya, Kentaro Hayashi, Keiko Hino, Yasuhiro Nakata, Kota Bokuda, Toshio Shimizu, Kazushi Takahashi   +7 more
wiley   +1 more source

Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization

Sensors, 2019
Sparse representation is a powerful statistical technique that has been widely utilized in image restoration applications. In this paper, an improved sparse representation model regularized by a low-rank constraint is proposed for single image deblurring.
Jinyang Li, Zhijing Liu
doaj   +1 more source

Joint Nuclear Norm and ℓ_1–2-Regularization Sparse Channel Estimation for mmWave Massive MIMO Systems

IEEE Access, 2020
Millimeter-wave massive MIMO can effectively improve the signal-to-noise ratio, but the high-dimensional channel matrix significantly increases the complexity of the classic channel estimation algorithm.
Kaiwen Yu, Min Shen, Rui Wang, Yun He
doaj   +1 more source

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers, Yaqiao Wei, Dinesh K. Deelchand, Adam Berrington, Young Woo Park, Guita Banan, Michal Povazan, Jens T. Rosenberg, André J. W. van der Kouwe, Tetsuo Ashizawa, Khalaf O. Bushara, Chiadi U. Onyike, Sub H. Subramony, Jeremy D. Schmahmann, Brian J. Soher, Peter B. Barker, Thomas H. Mareci, Eva‐Maria Ratai, Lynn E. Eberly, Gülin Öz   +19 more
wiley   +1 more source

Studies on Matrix Completion and Partial Realization with Nuclear Norm Minimization

, 2017
The field of Compressed Sensing addresses the problem of recovering relatively sparse entities from a limited number of data points. Low rank matrices arise in a wide range of settings in this field and two of its applications, Matrix Completion and ...
Dhanashetty, Nishita
core   +2 more sources