Results 81 to 90 of about 151,868 (248)

A 3D Astrocyte Microenvironment Model Enables Rapid Ca2+‐Resolved Analysis and Therapeutic Modulation of Oxidative Neuroinflammation

Advanced Healthcare Materials, EarlyView.
This work presents ARC‐3D, a soft 3D model that recreates how brain support cells, called astrocytes, react to oxidative stress. The system visualizes rapid calcium changes and inflammatory signals, and shows how the drug KDS12025 can protect cells from damage. ARC‐3D offers a simple, reliable way to study early drivers of brain inflammation.
Ju‐Kang Kim, Ye‐Ji Kim, Seyoung Ryu, Daeui Park, Kyoung‐Sik Moon, Yu Bin Lee, Dong Ho Woo   +6 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks

Sensors
Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitation medicine as well as cognitive neuroscience. Electroencephalogram (EEG) is commonly used in the relevant fields, because it is a low-cost noninvasive ...
Jianxi Huang, Yinghui Chang, Wenyu Li, Jigang Tong, Shengzhi Du   +4 more
doaj   +1 more source

Linear-time general decoding algorithm for the surface code

, 2018
A quantum error correcting protocol can be substantially improved by taking into account features of the physical noise process. We present an efficient decoder for the surface code which can account for general noise features, including coherences and ...
Darmawan, Andrew S., Poulin, David
core   +1 more source

PiP‐Plex: A Particle‐in‐Particle System for Multiplexed Quantification of Proteins Secreted by Single Cells

Advanced Materials, EarlyView.
Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier, Byeong‐Ui Moon, Mojra Janta‐Polczynski, Yonatan Morocz, Fabian Svahn, Molly Shen, Ljuboje Lukic, Lidija Malic, Teodor Veres, Andy Ng, David Juncker   +10 more
wiley   +1 more source

Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction

, 2019
Close human-robot cooperation is a key enabler for new developments in advanced manufacturing and assistive applications. Close cooperation require robots that can predict human actions and intent, and understand human non-verbal cues.
Jamone, Lorenzo, Rakovic, Mirko, Santos-Victor, José, Schydlo, Paul   +3 more
core   +1 more source

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Motor imagery (MI) decoding methods are pivotal in advancing rehabilitation and motor control research. Effective extraction of spectral-spatial-temporal features is crucial for MI decoding from limited and low signal-to-noise ratio electroencephalogram (
Yiyang Qin, Banghua Yang, Sixiong Ke, Peng Liu, Fenqi Rong, Xinxing Xia   +5 more
doaj   +1 more source

Deep Transfer Learning for Error Decoding from Non-Invasive EEG

, 2018
We recorded high-density EEG in a flanker task experiment (31 subjects) and an online BCI control paradigm (4 subjects). On these datasets, we evaluated the use of transfer learning for error decoding with deep convolutional neural networks (deep ...
Ball, Tonio, Burgard, Wolfram, Fiederer, Lukas D. J., Schirrmeister, Robin T., Völker, Martin   +4 more
core   +1 more source

A Cu‐Based Near‐IR Active MOF with an Ion‐Pair Guest Exhibiting Versatile and Selective Gas‐Solid Reactivity

Advanced Materials, EarlyView.
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha, Alejandro Cortés‐Villena, Silvia Gómez‐Coca, Alberto Fernández‐Alarcón, Joaquín Calbo, Raquel E. Galian, Enrique Ortí, Eliseo Ruiz, Mónica Giménez‐Marqués, Samia Benmansour, Carlos J. Gómez‐García   +10 more
wiley   +1 more source