Results 101 to 110 of about 2,163,989 (296)

Engineering Morphological Anisotropy to Control the In Vivo Transport Dynamics, Clearance, and Biodistribution of Silica Nanocarriers

Advanced Science, EarlyView.
Morphological anisotropy directs the in vivo transport under physiological flow and clearance of silica nanocarriers. Increasing anisotropy reduces cellular uptake, suppresses hepatic and splenic sequestration, and prolongs systemic circulation by steering particles toward the central flow core.
Xiaofei Li, Yingjie Yu, Tianchang He, Xiaoyan Fang, Wenhua Yang, Luying Zhou, Hao Fan, Guimei Lin, Daniel Crespy, Katharina Landfester, Junfeng Zhang, Shuai Jiang   +11 more
wiley   +1 more source

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

Advanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Entorhinal Astrocyte Transplants Restore Spatial Exploration and Alleviate Amyloid‐Beta Pathology in Alzheimer's Mice

Advanced Science, EarlyView.
Impaired MEC astrocytic Ca2+ signaling is associated with fragmented spatial exploration in AD mice. Region‐specific glial progenitor transplantation generates engrafted astrocytes that are accompanied by improved AQP4 polarization, reduced amyloid‐β‐associated pathology, attenuated neuroinflammation, preserved synaptic integrity, and ameliorated ...
Fengjuan Wu, Jihua Fan, Xiang Zhou, Zhiqi Yang, Mingyue Gong, Mingzhu Huang, Zhenlu Cai, Shaofan Yang, Teng Teng, Chuanyan Yang, Jin Li, Haoyu Wang, Shuangshuang Dai, Chunhai Chen, Xiaowei Chen, Manxia Wang, Kuan Zhang   +16 more
wiley   +1 more source

Iterative source and channel decoding relying on correlation modelling for wireless video transmission [PDF]

, 2013
Since joint source-channel decoding (JSCD) is capable of exploiting the residual redundancy in the source signals for improving the attainable error resilience, it has attracted substantial attention.
Wang, Tao, Hanzo, Lajos, Huo, Yongkai, Maunder, Robert G.   +3 more
core   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Crowd-Sourced Subjective Assessment of Adaptive Bitrate Algorithms in Low-Latency MPEG-DASH Streaming

Applied Sciences
Video-centric applications have seen significant growth in recent years with HTTP Adaptive Streaming (HAS) becoming a widely adopted method for video delivery.
Syed Uddin, Michał Grega, Waqas ur Rahman, Mikołaj Leszczuk   +3 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source