Results 71 to 80 of about 22,995 (237)

Discrete and Continuous-time Soft-Thresholding with Dynamic Inputs

, 2014
There exist many well-established techniques to recover sparse signals from compressed measurements with known performance guarantees in the static case.
Balavoine, Aurele, Romberg, Justin, Rozell, Christopher J.   +2 more
core   +1 more source

A New 3D Colon on a Chip to Decipher the Influence of Mechanical Forces on the Physiological Cellular Ecosystem

Advanced Healthcare Materials, EarlyView.
To dissect how mechanical forces influence intestinal physiology, we developed a stretchable 3D colon‐on‐chip that integrates tunable topography, stiffness and peristalsis‐like motion within a physiologically relevant microenvironment. We showed that stretching is a dominant factor governing epithelial behavior, markedly enhancing proliferation and ...
Moencopi Bernheim‐Dennery, Lauriane Gérémie, Julie Brun, Lucas Chassatte, Giacomo Gropplero, Réda Bouras, Jieun Choo, Bertrand Cinquin, Alba Marcellan, Danijela Matic Vignjevic, Stéphanie Descroix   +10 more
wiley   +1 more source

DISTA-CSNet: Efficient Data Aware Deep Learning Model for CS MRI Recovery

IEEE Access
This research paper explores the rising interest in utilising deep learning methods, specifically Convolution Neural Network (CNN), to improve the reconstruction of Compressively Sampled Magnetic Resonance Imaging (CS MRI) images from under-sampled data.
Hassaan Haider, Jawad Ali Shah, Umer Javeed, Sharjeel Abid Butt, Kushsairy A. Kadir   +4 more
doaj   +1 more source

Enhanced Endoscopic Internal Drainage of Gastric Abscess Through Additively Manufactured Stents

Advanced Healthcare Materials, EarlyView.
Postoperative gastric leaks are often treated with off‐label biliary double‐pigtail stents, yet conventional extruded designs are not optimized for leak anatomy, can migrate, and may limit abscess evacuation. PETALS is introduced to optimize transmural drainage geometry and enable patient‐specific 3D‐printable stents.
Parima Phowarasoontorn, Yongbin Ko, Juan S. Barajas‐Gamboa, Juan P. Pantoja, Oraib Al‐Ketan, Mohamed Ali, Sungyun Sohn, Heba Tageldeen Naser, Abdel‐Hameed Dabbour, Batoul Khlaifat, Ahmed AlZubaidi, Carlos Abril Vega, John Rodriguez, Matthew Kroh, Khalil B. Ramadi   +14 more
wiley   +1 more source

A forward-backward splitting algorithm for the minimization of non-smooth convex functionals in Banach space

, 2008
We consider the task of computing an approximate minimizer of the sum of a smooth and non-smooth convex functional, respectively, in Banach space. Motivated by the classical forward-backward splitting method for the subgradients in Hilbert space, we ...
Acar R, Alber Y I, Azé D, Bredies K, Brezis H, Butnariu D, Butnariu D, Butnariu D, Cioranescu I, Dvoretzky A, Ekeland I, Feng G, Kristian Bredies, Lindenstrauss J, Meir A, Meyer Y, Showalter R E   +16 more
core   +1 more source

A Physiological Microfluidic Blood–Brain‐Barrier Model for In Vitro Study of Nanoparticle Trafficking and Accumulation

Advanced Healthcare Materials, EarlyView.
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen, Neona M. Lowe, Sophia Kellogg, Kuan‐Wei Huang, Hannah O'Toole, Elizabeth J. Hale, Venktesh S. Shirure, Bhupinder S. Shergill, Steven C. George, Randy P. Carney   +9 more
wiley   +1 more source

A Radio-interferometric Imaging Method Based on the Wavelet Tight Frame

The Astronomical Journal
Reconstructing the signal from measured visibilities in radio interferometry is an ill-posed inverse problem. In this paper, we present a novel radio-interferometric imaging method based on the wavelet tight frame aimed at efficiently obtaining an ...
Xiaocheng Yang, Xiang You, Lin Wu, Jingye Yan, Feng Liu, Mingfeng Jiang, Junbao Zheng   +6 more
doaj   +1 more source

Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition

IEEE Access
In this paper, we propose a novel imaging method for synthetic aperture radar (SAR) systems with compressive sensing (CS) by modifying the existing low-rank and sparse decomposition (LRSD) scheme.
Jeong-Il Byeon, Wookyung Lee, Jihoon Choi   +2 more
doaj   +1 more source

The Vese-Chan model without redundant parameter estimation for multiphase image segmentation

EURASIP Journal on Image and Video Processing, 2020
The Vese-Chan model for multiphase image segmentation uses m binary label functions to construct 2 m characteristic functions for different phases/regions systematically; the terms in this model have moderate degrees comparing with other schemes of ...
Jie Wang, Zisen Xu, Zhenkuan Pan, Weibo Wei, Guodong Wang   +4 more
doaj   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source