Results 101 to 110 of about 179,319 (288)

A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis

Advanced Healthcare Materials, EarlyView.
The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra, Fleur R. Semmekrot, Nuno Araújo‐Gomes, Daniël Wijnperle, Monique M. A. Helsen, Martijn H.J. Van Den Bosch, Loes. I. Segerink, Séverine Le Gac, Marcel Karperien   +8 more
wiley   +1 more source

Start, Stop, Rewind, Repeat—Cyclic Exposure of Adipose Stromal Cells‐derived Cartilage Organoids to Chondrogenic and Proliferative Cues to Achieve Scaled‐up and Customizable Bone Formation by Endochondral Ossification

Advanced Healthcare Materials, EarlyView.
This study exploits the plasticity of ASCs‐derived cartilage organoids which generate a perichondrial layer of MSCs when exposed to cyclic chondrogenic/proliferative cues. Using these organoids as building blocks, we develop (i) Phalange Shaped Tissue Engineered Cartilage (Pa‐TECs), recapitulating endochondral ossification suitable for the treatment of
Pablo Pfister, Emilien Lhospice, Andrés García‐García, Robert Paillaud, Sebastian Jung, Romain Schaller, Elisabeth A. Kappos, Claude Jaquiéry, Tarek Ismail, Dirk J. Schaefer, Michael de Wild, Ivan Martin, Alexandre Kaempfen, Arnaud Scherberich, Adrien Moya   +14 more
wiley   +1 more source

Wound Geometry Determines Whether Aligned‐Fiber Scaffolds Accelerate or Impede Diabetic Wound Healing: A Biased Random Walk Analysis

Advanced Healthcare Materials, EarlyView.
Wound closure is governed by geometry‐orientation coupling: aligned fibers speed migration along their axis but hinder perpendicular advance. In vivo diabetic wound experiments with composition‐matched fibrin, combined with an anisotropic diffusion (biased random‐walk) model, quantify this trade‐off and generate a healing landscape.
Yin‐Yuan Huang, Xiangjun Peng, Yuxuan Huang, Kunkoo Kim, Chengli Li, Peilun Hu, Sean J. Wang, Rohan Avula, Chun‐Yi Yang, Pengchao Ma, Shuhui Yang, Shumeng Jiang, Guy M. Genin, Xiumei Wang   +13 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

An analytical iterative statistical algorithm for image reconstruction from projections [PDF]

International Journal of Applied Mathematics and Computer Science, 2014
Abstract The main purpose of the paper is to present a statistical model-based iterative approach to the problem of image reconstruction from projections. This originally formulated reconstruction algorithm is based on a maximum likelihood method with an objective adjusted to the probability distribution of measured signals obtained from an x-ray ...
openaire   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Thermomechanics of Picoliter Liquids Encapsulated in Metal Microarchitectures

Advanced Materials, EarlyView.
Picoliter‐scale water is encapsulated inside hollow copper microcylinders through a single‐step localized electrodeposition process. Mechanical testing at room and cryogenic temperatures reveals that incompressible liquid and load‐bearing microscale ice enhance the strength and deformation behavior of the composite structure.
Sung‐Gyu Kang, Kyeongjae Jeong, Bárbara Bellón, Lalith Kumar Bhaskar, Leonardo Shoji Aota, Jeongin Paeng, Dipali Sonawane, Kuan Ding, Se‐Ho Kim, Allison Goetz, Benjamin Apeleo Zubiri, Erdmann Spiecker, Ayman El‐Zoka, Baptiste Gault, Gerhard Dehm, Rajaprakash Ramachandramoorthy   +15 more
wiley   +1 more source

Evaluation model and its iterative algorithm by alternating projection

Mathematical and Computer Modelling, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Multi‐State Probabilistic Computing Using Floating‐Body MOSFETs Based on the Potts Model for Solving Complex Combinatorial Optimization Problems

Advanced Materials, EarlyView.
This work introduces a multi‐state probabilistic computing system based on Potts‐model p‐bits using stochastic switching floating body metal oxide semiconductor field effect transistors (FB‐MOSFETs). By employing drain‐voltage sharing and one‐hot sampling, the system achieves controllable probabilistic behavior.
Sunwoo Cheong, Soo Hyung Lee, Janguk Han, Jun‐Young Park, Dong Hoon Shin, Yoon Ho Jang, Sung Keun Shim, Sungho Kim, Cheol Seong Hwang, Joon‐Kyu Han   +9 more
wiley   +1 more source

An Effective CUDA Parallelization of Projection in Iterative Tomography Reconstruction.

PLoS ONE, 2015
Projection and back-projection are the most computationally intensive parts in Computed Tomography (CT) reconstruction, and are essential to acceleration of CT reconstruction algorithms.
Lizhe Xie, Yining Hu, Bin Yan, Lin Wang, Benqiang Yang, Wenyuan Liu, Libo Zhang, Limin Luo, Huazhong Shu, Yang Chen   +9 more
doaj   +1 more source