Results 181 to 190 of about 1,903,363 (255)

Phase‐Programmed Microneedles Enable Sequential Hydrogen and Quercetin Release for Scar‐Reduced Regeneration of Burn Wounds

Advanced Science, EarlyView.
A phase‐programmed microneedle patch, comprising a poly (lactic‐co‐glycolic acid) (PLGA) shell and a sulfobutylether‐β‐cyclodextrin (SBECD) core, is designed for sequential hydrogen and quercetin release for scar‐reduced regeneration of burn wounds. ABSTRACT Burn wounds complicated by bacterial infection and fibrotic scarring remain a major clinical ...
Yongnian Zeng, Zhigang Chu, Huiyuan Yang, Wen Zhang, Peng Jiang, Jiapeng Lei, Siyu Zhang, Qiongfang Ruan, Shuhua Liu, Wei Li   +9 more
wiley   +1 more source

Negative Gauge Factor Piezoresistance in Soft Strain and Pressure Sensors: Mechanisms, Materials, and Emerging Applications

Advanced Science, EarlyView.
Negative‐gauge‐factor materials reverse the usual rule of piezoresistive sensing: their resistance falls, rather than rises, under deformation. This review organizes such behavior into four mechanistic classes spanning intrinsic semiconductors, composites, conducting polymers, and engineered architectures.
Su‐Hyeong Lee, Minjae Kim, Soosang Chae   +2 more
wiley   +1 more source

Chip‐Level Voltage Controlled Magnetic p‐Bits Array with Variation Compensation for Stochastic Neural Network Computation

Advanced Science, EarlyView.
A chip‐level VCMA‐MTJ array is demonstrated for stochastic neural‐network computing. Combined with a tail‐truncation strategy to compensate for device‐to‐device variations, it establishes a hardware–software co‐design approach for scalable probabilistic computing.
Jiachen Bao, Songsong Li, Ruizhi Ren, Zheng Zhu, Di Wu, Jiayong Wang, Minggao Zuo, Mingke Li, Duanzihua Cheng, Jianyu Lv, Lintong Zou, Chuyue Liu, Wangyang Hu, Yi Cao, Yuesheng Li, Guanghua Yu   +15 more
wiley   +1 more source

Mechanically‐Gated Stochastic Resonance for All‐Optical Acoustic Sensing in Noisy Environments

Advanced Science, EarlyView.
A mechanically‐gated stochastic resonance (MGSR) sensing system is demonstrated, wherein stochastic resonance is enabled by an all‐optical bistable fiber Bragg grating feedback loop and gated by mechanical resonance. Under ambient noise, the system generates bistable outputs satisfying the Kramers escape‐rate condition, yielding signal‐to‐noise ratio ...
Xuyu Zhang, Minzheng Sun, Cunzheng Fan, Shuolong Zhu, Qilin Hong, Pan Xu, Min Zhu, Zhengliang Hu, Yongchao Zou, Qizhen Sun   +9 more
wiley   +1 more source

Interface‐Mediated Self‐Rectifying CsCuCl3 Memristors With Tunable Thresholds for Reconfigurable Neuromorphic Computing

Advanced Science, EarlyView.
Interface‐mediated CsCuCl3 memristors achieve self‐rectification and tunable thresholds, enabling selector‐free 8 × 8 arrays with > 105 ON/OFF and > 104 rectification. Supporting dual‐mode neuromorphic computing, negative thresholds preserve low‐light recognition accuracy (91%), while positive thresholds enable sparsity‐aware edge computing.
Qingwei Shi, Mufan Zhu, Song He, Zhen Yan, Yuezhong Lu, Shuaidi Wu, Wenju Xie, Xiaofeng Wang, Baochang Cheng, Jie Zhao   +9 more
wiley   +1 more source

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Frequency-Switching Sparse Arrays

2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)
In this paper, we propose high-resolution target direction-of-arrival (DOA) estimation using frequency-switching sparse arrays which implement multi-frequency sparse arrays in a low-complexity manner.
Yi-Min D. Zhang, M. W. T. S. Chowdhury
semanticscholar   +2 more sources

2D Beamforming on Sparse Arrays with Sparse Bayesian Learning

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Sparse arrays such as co-prime and nested arrays can identify more sources than the number of sensors. This is because their difference co-arrays contain a uniformly spaced virtual array with more elements than the number of sensors in the array. In this
S. Nannuru, P. Gerstoft
semanticscholar   +2 more sources

Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays

IEEE Transactions on Signal Processing, 2023
Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated from the correlations of sub-Nyquist spatial samples is processed to ...
Cheng-Wei Zhou, Yu-Jie Gu, Zhi-Guo Shi, M. Haardt   +3 more
semanticscholar   +1 more source

Unambiguous DOA Estimation Using Multi-Frequency Rational Sparse Arrays

Asilomar Conference on Signals, Systems and Computers, 2023
In this paper, we consider the conditions for unique identifiability of the direction-of-arrival (DOA) estimation problem under a multi-frequency sparse rational array framework. Previous studies on the multi-frequency scenario involved integer locations
M. W. T. S. Chowdhury, Yi-Min D. Zhang
semanticscholar   +1 more source

Maximally economic sparse arrays and cantor arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
© 2017 IEEE. This work was supported in parts by the ONR grants N00014-15-1-2118 and N00014-17-1-2732, the NSF grant CCF-1712633, and the California Institute of Technology.
Chun-Lin Liu, P. Vaidyanathan
semanticscholar   +4 more sources