Results 51 to 60 of about 66,013 (262)

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey, Jessica Fitzpatrick, Maria Dall'Era, Charmayne Dunlop‐Thomas, Courtney Hoge, S. Sam Lim, Patricia P. Katz, Jinoos Yazdany, Laura C. Plantinga   +8 more
wiley   +1 more source

An ALPS view of sparse recovery [PDF]

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the restricted isometry properties of the CS measurement matrix within the algebra of Nesterov's optimal gradient methods.
openaire   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Robust Sparse Recovery in Impulsive Noise via M-Estimator and Non-Convex Regularization

IEEE Access, 2019
Robust sparse recovery aims at recovering a sparse signal or image from its compressed and contaminated measurements. Under the impulsive noise condition, the performance of traditional sparse recovery algorithms may deteriorate seriously for exploiting &
Le Gao, Dongjie Bi, Xifeng Li, Libiao Peng, Weijie Xu, Yongle Xie   +5 more
doaj   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

A Survey on Nonconvex Regularization-Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

IEEE Access, 2018
In the past decade, sparse and low-rank recovery has drawn much attention in many areas such as signal/image processing, statistics, bioinformatics, and machine learning.
Fei Wen, Lei Chu, Peilin Liu, Robert C. Qiu   +3 more
doaj   +1 more source

Sparse Recovery Using Sparse Random Matrices [PDF]

, 2010
Over the recent years, a new linear method for compressing high-dimensional data (e.g., images) has been discovered. For any high-dimensional vector x, its sketch is equal to Ax, where A is an m×n matrix (possibly chosen at random). Although typically the sketch length m is much smaller than the number of dimensions n, the sketch contains enough ...
openaire   +1 more source

Approximate sparse recovery [PDF]

Proceedings of the forty-second ACM symposium on Theory of computing, 2010
An approximate sparse recovery system consists of parameters $k,N$, an $m$-by-$N$ measurement matrix, $Φ$, and a decoding algorithm, $\mathcal{D}$. Given a vector, $x$, the system approximates $x$ by $\widehat x =\mathcal{D}(Φx)$, which must satisfy $\| \widehat x - x\|_2\le C \|x - x_k\|_2$, where $x_k$ denotes the optimal $k$-term approximation to $x$
Anna C. Gilbert, Yi Li 0002, Ely Porat, Martin J. Strauss   +3 more
openaire   +2 more sources

The Role of Ultra‐Thin Buffer Layers for Achieving Ultra‐Low Dark Currents in Single‐Component Organic Photodetectors

Advanced Functional Materials, EarlyView.
Here, SubNc single‐component organic photodiodes (SC‐OPDs) are investigated, which achieve highly competitive performance metrics, including high EQE, ultra‐low JD, and high specific detectivity (D*). This study emphasizes the critical role of an organic buffer layer in studying the interface energetics and effects to achieve state‐of‐the‐art ...
Anncharlott Kusber, Ying Sun, Jakob Wolansky, Louis Conrad Winkler, Anna‐Lena Hofmann, Fred Kretschmer, Hrisheekesh Thachoth Chandran, Tianyi Zhang, Mike Hambsch, Stefan C. B. Mannsfeld, Karl Leo, Ji‐Seon Kim, Johannes Benduhn   +12 more
wiley   +1 more source

Spatiotemporal Drug Delivery via a Neonatal Spinal Cord ECM Hydrogel for Biomimetic Microenvironment Remodeling After Spinal Cord Injury

Advanced Functional Materials, EarlyView.
A biomimetic hydrogel derived from neonatal spinal cord ECM (DNSCM) delivers LAMB2 protein and ISP peptide to remodel the inhibitory injury microenvironment. The system sustains drug release, upregulates pro‐regenerative LAMB2, downregulates inhibitory CSPG, and promotes axonal regeneration.
Shiyu Fu, Liangchao Du, Runlin Wen, Kai Zhang, Yu Zhou, Wanrong Ma, Zhiquan Yang, Dingyang Liu, Xing Li   +8 more
wiley   +1 more source