Results 51 to 60 of about 8,046 (255)

Low-Density Lattice Codes for Inter-Symbol Interference Channels

Journal of Networks, 2013
Low-density lattice codes (LDLC) designed for inter-symbol interference (ISI) channels are proposed in this paper, including the node-by-node belief propagation (BP) decoding algorithm and the construction of LDLC codes for ISI channels. A theorem is presented to illustrate that the nominal coding gain of LDLC codes can be increased by introducing ISI ...
Yang Li, Zhisong Bie, Jiaru Lin, Hyok Hui Kim   +3 more
openaire   +2 more sources

A Clinical Study of Decellularized Tissue Engineering Hyaline Cartilage Graft (dLhCG) for Articular Cartilage Repair

Advanced Science, EarlyView.
ABSTRACT Current clinical approaches for knee cartilage repair are often limited by hypertrophy and fibrosis in the regenerated tissues. A decellularized tissue‐engineered hyaline cartilage graft (dLhCG), composed of a type II collagen‐based extracellular matrix, has been developed to overcome this limitation.
Zhen Zhang, Gong Cheng, Wenyong Fei, Qiuzhen Liang, Liang Zhang, Kegui Liu, Jihang Dai, Bo Cong, Xu Hu, Zhonglian Wu, Jialu Zhang, Jinlan Cui, Hang Yao, Dong‐An Wang, Jingcheng Wang, Tao Sun, Jiang Zheng   +16 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

An Efficient Preamble Design Based on Comb-Type Pilots for Channel Estimation in FBMC/OQAM Systems

IEEE Access, 2018
In this paper, we propose an efficient preamble design based on comb-type pilots (CTP) for channel estimation in filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems.
Wei Li, Daiming Qu, Tao Jiang
doaj   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

Increasing the symbol rate in QAM system using a new set of orthonormal basics functions

Journal of Electrical Systems and Information Technology, 2018
This paper proposes a new technique to increase the symbol rate in Quadrature Amplitude Modulation (QAM) using a new set of orthonormal functions. The proposed technique increases the rate of QAM symbols without increasing the bandwidth of the modulated ...
A.Y. Hassan
doaj   +1 more source

Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue

Advanced Science, EarlyView.
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg, Thijs J. van der Burg, Stijn Y. Kolkman, Santiago Saavedra Castano, David Fernandez Rivas, Anke Klingner, Roger M. L. M. Lomme, Lucas S. Joziasse, Dorothee Wasserberg, H. Remco Liefers, Doron Ben Ami, Udi Sadeh, Oded Shoseyov, Giulio Dagnino, Pascal Jonkheijm, Jurgen J. Fütterer, Stefano Stramigioli, J. Frank W. Nijsen, Michiel C. Warlé, Islam S. M. Khalil   +19 more
wiley   +1 more source

Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface

Advanced Science, EarlyView.
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong, Yiming Luo, Chuanliu Liu, Mahamood Modupe Rasheedat, Wenjiayi Tan, Fangyu Zhao, Yixue Zhang, Chris Connor, Hua Hou, Hamdy Khamees Thabet, Ben Bin Xu, Huige Wei   +11 more
wiley   +1 more source