Results 131 to 140 of about 3,766,928 (338)

Integer Echo State Networks: Hyperdimensional Reservoir Computing

, 2018
We propose an approximation of Echo State Networks (ESN) that can be efficiently implemented on digital hardware based on the mathematics of hyperdimensional computing.
Frady, Edward Paxon, Kleyko, Denis, Osipov, Evgeny   +2 more
core  

A Tri‐Culture Heart‐on‐a‐Chip Platform With iPSC‐Derived Cardiac Cells for Predictive Cardiotoxicity Testing

Advanced Healthcare Materials, EarlyView.
This study presents the first entirely isogenic heart‐on‐chip, unifying cardiomyocytes, fibroblasts, and endothelial cells from a single iPSC source. The platform reveals a critical biological insight: the endothelium actively shields cardiac tissue from drug‐induced toxicity, challenging the predictive accuracy of conventional, avascular models for ...
Karine Tadevosyan, Jose Yeste, Mar Alvarez, Denise Marrero, Laura Casado‐Medina, Yvonne Richaud‐Patin, Olalla García‐Iglesias, Jagoda Litowczenko, Alba Morillas Garcia, Anton Guimerà, Xavi Illa, Rosa Villa, Angel Raya   +12 more
wiley   +1 more source

Deterministic reservoir computing for chaotic time series prediction

Scientific Reports
Abstract Reservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. Their randomized initialization, a computational benefit, results in drawbacks in theoretical analysis of large random graphs, because of which deterministic variations are still an open field of research ...
Johannes Viehweg, Constanze Poll, Patrick Mäder   +2 more
openaire   +4 more sources

Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction

Advanced Healthcare Materials, EarlyView.
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang, Jingguo Qu, Tonghuan Xiao, Xinyang Han, Michael Tin‐Cheung Ying   +4 more
wiley   +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

Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration

Advanced Healthcare Materials, EarlyView.
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu, Yongjie Tang, Sidi Liu, Tao Xu, Qian Liu   +4 more
wiley   +1 more source

Research onconvolutional neural network for reservoir parameter prediction

Tongxin xuebao, 2016
As the branch of artificial intelligence,artificial neural network solved many difficult practical problems in pattern recognition and classification prediction field successfully.However,they cannot learn the feature from networks.In recent years,deep ...
You-xiang DUAN, Gen-tian LI, Qi-feng SUN
doaj  

Reservoir prediction methods under sparse well conditions in offshore fields: perspectives and challenges

Frontiers in Earth Science
Understanding application of reservoirs prediction methods in offshore hydrocarbon is are increasingly important task. It is made challenging by the sparse well data, low resolution seismic data, and complex geological mode.
Yuegang Wang, Yuegang Wang, Yingchang Cao, Pengfei Xie, Hongke Zhou, Bin Yang, Zaizhen Zhang   +6 more
doaj   +1 more source

Bidirectional deep-readout echo state networks

, 2018
We propose a deep architecture for the classification of multivariate time series. By means of a recurrent and untrained reservoir we generate a vectorial representation that embeds temporal relationships in the data.
Bianchi, Filippo Maria, Jenssen, Robert, Løkse, Sigurd, Scardapane, Simone   +3 more
core  

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