Results 51 to 60 of about 47,195 (217)

Sparse kronecker pascal measurement matrices for compressive imaging

Journal of the European Optical Society-Rapid Publications, 2017
Background The construction of measurement matrix becomes a focus in compressed sensing (CS) theory. Although random matrices have been theoretically and practically shown to reconstruct signals, it is still necessary to study the more promising ...
Yilin Jiang, Qi Tong, Haiyan Wang, Qingbo Ji   +3 more
doaj   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Mechanical Programming of PEGDA‐β‐CD Polyrotaxane‐Based Hydrogels via Host–Guest Molecular Recognition

Advanced Functional Materials, EarlyView.
A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen, Xudan Xing, Haopu Su, Dominik Voll, Xiaohe Xu, Jiafeng Wan, Tongtong Cui, Christian W. Schmitt, Stefan Bräse, Peng Li, Patrick Théato   +10 more
wiley   +1 more source

Deterministic Compressed Sensing Matrices From Sequences With Optimal Correlation

IEEE Access, 2019
Compressed sensing (CS) is a new method of data acquisition which aims at recovering higher dimensional sparse vectors from considerably smaller linear measurements. One of the key problems in CS is the construction of sensing matrices. In this paper, we
Zhi Gu, Zhengchun Zhou, Yang Yang, Avik Ranjan Adhikary, Xiaolun Cai   +4 more
doaj   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Preferential Interfacial Engineering of Hydrogels via Interdigitated Nanoparticle Assembly

Advanced Functional Materials, EarlyView.
Robust surface functionalization of hydrogel surfaces is performed via interdigitated metal nanoparticle assembly, inducing strong affinity with the hydrogel matrix. The partially exposed nanoparticle domains act as interfacial nanobridges that mediate both chemical and physical bonding with diverse materials, including small molecules, fluorous ...
Hyeonjin Kim, Hyeseoung Lim, Ji Min Lee, Heeyeon Kang, Yongkwon Song, Woojae Chang, So‐Jin Park, Jin Yoo, Atsushi Hozumi, Jinhan Cho, Jongkuk Ko, Sanghyuk Wooh   +11 more
wiley   +1 more source

CO2‐to‐CO Conversion in a Gas‐Fed, Zero‐Gap, PEM Electrolyzer Enabled by Polycations and Nitrogen‐Doped Carbon‐Supported Cobalt Nanoparticles

Advanced Functional Materials, EarlyView.
A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow, Hsi‐Wen Wu, Aimin Li, Yalou Guo, Duhong Chen, Jie Zhang, Paul A. Webley   +6 more
wiley   +1 more source

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

Advanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source

Desert Plant Inspired Hierarchical Nanofibrous Membranes for Integrated Solar Desalination and Heavy Metal Remediation

Advanced Functional Materials, EarlyView.
An Alhagi maurorum inspired hierarchical composite membrane (NFCu) was developed by integrating heavy metal remediation and solar‐driven interfacial evaporation in a single platform. Beyond the photothermal effect, a localized photocatalytic process is realized on the CuO surface, deepening the mechanistic understanding of light–matter–water ...
Yuqiong He, Ronggang Luo, Shengbo Ge, Kaixin Jiang, Kirsten Dyer, Xiaojian Zhou, Ben Bin Xu, Xuehua Zhang, Guanben Du, Kaimeng Xu   +9 more
wiley   +1 more source

Alternating Direction Method of Multipliers for Sparse and Low-Rank Decomposition Based on Nonconvex Nonsmooth Weighted Nuclear Norm

IEEE Access, 2018
Sparse and low-rank decomposition (SLRD) poses a big challenge in many fields. The existing methods are used to solve SLRD problem via formulating approximations of sparse and low-rank matrices.
Zhenzhen Yang, Zhen Yang, Deren Han
doaj   +1 more source