Results 51 to 60 of about 152,526 (313)
Objective Foot orthoses are thought to improve pain by potentially modifying internal mechanical forces. To test this, we explored whether foot orthoses can modify patterns of bone marrow lesions (BMLs) in people with midfoot pain. Methods Forty‐two people were recruited with midfoot pain and MRI‐confirmed midfoot BMLs.
Jill Halstead +4 more
wiley +1 more source
Application of compressed sensing to the simulation of atomic systems
Compressed sensing is a method that allows a significant reduction in the number of samples required for accurate measurements in many applications in experimental sciences and engineering.
A. Aspuru-Guzik +16 more
core +1 more source
Quasi-linear Compressed Sensing [PDF]
Inspired by significant real-life applications, in particular, sparse phase retrieval and sparse pulsation frequency detection in Asteroseismology, we investigate a general framework for compressed sensing, where the measurements are quasi-linear.
Martin Ehler +2 more
openaire +2 more sources
Objective Ultrasound (US) has been proposed as a potential tool for assessing skin fibrosis in systemic sclerosis (SSc). However, a large‐scale comparison of US‐based assessment with histological markers of skin fibrosis has not been reported. We evaluated the US‐based skin assessments for their face validity (differentiation between involved SSc and ...
Ruhani Desai +12 more
wiley +1 more source
Evolution of compressed sensing theory and dynamic electric energy measurement method
This paper expounds the evolution process of compressed sensing signal sparse model, measurement matrix construction, reconstruction algorithm design, compressed measurement and compressed sensing hardware signal processing system, and puts forward that ...
WU Wenqian, WANG Xuewei
doaj +1 more source
Hamming Compressed Sensing [PDF]
Compressed sensing (CS) and 1-bit CS cannot directly recover quantized signals and require time consuming recovery. In this paper, we introduce \textit{Hamming compressed sensing} (HCS) that directly recovers a k-bit quantized signal of dimensional $n ...
Tao, Dacheng, Zhou, Tianyi
core
Randomness and isometries in echo state networks and compressed sensing
Although largely different concepts, echo state networks and compressed sensing models both rely on collections of random weights; as the reservoir dynamics for echo state networks, and the sensing coefficients in compressed sensing.
Prater-Bennette, Ashley
core +1 more source
Compressed Sensing in Hilbert Spaces [PDF]
In many linear inverse problems, we want to estimate an unknown vector belonging to a high-dimensional (or infinite-dimensional) space from few linear measurements. To overcome the ill-posed nature of such problems, we use a low-dimension assumption on the unknown vector: it belongs to a low-dimensional model set. The question of whether it is possible
Traonmilin, Yann +3 more
openaire +4 more sources
Hyperspectral compressive wavefront sensing
Abstract Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot. A deep unrolling algorithm is utilized for snapshot compressive imaging reconstruction due to its parameter efficiency and superior speed relative ...
Sunny Howard +4 more
openaire +4 more sources
The Immobilization of Hyaluronic Acid in 3D Hydrogel Scaffolds Modulates Macrophage Polarization
This study explores the use of collagen‐hyaluronic acid (HA) hydrogels for the 3D culture of macrophages, providing a useful tool for modelling macrophage behavior in tissues and diseases. It highlights how hydrogel composition, mechanical properties, and preparation methods influence macrophage behavior, revealing for the first time that HA's ...
Tiah CL Oates +7 more
wiley +1 more source

