Results 131 to 140 of about 34,525 (261)

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

Advanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li, Zhenyu Li, Jinshui Yang, Jianhao Wu, Yidan Chen, Linzhi Wu, Hong Hu, Penglin Gao, Yegao Qu   +8 more
wiley   +1 more source

Enhancing industrial acoustic environments through a mathematical model and 3D COMSOL acoustic simulation. [PDF]

Sci Rep
Eladly AM, Rashwan N, Aly MH, Salama WM.
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Crosstalk Suppression in a Multi-Channel, Multi-Speaker System Using Acoustic Vector Sensors. [PDF]

Sensors (Basel)
Szwoch G.
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Contrastive learning for passive acoustic monitoring: A framework for sound source discovery and cross-site comparison in marine soundscapes. [PDF]

PLoS Comput Biol
Acs R, Ibrahim A, Zhuang H, Chérubin LM.   +3 more
europepmc   +1 more source

A NEURAL NETWORK FOR SOUND SOURCE SEPARATION [PDF]

, 1999
JÖRN ANEMÜLLER, TINO GRAMSS
openaire   +1 more source

A Conformal Wearable Ultrasound Bioelectronics for Mechanotherapy Reprogramming of Fibroblast Plasticity via Wnt‐FGF10 Axis to Overcome Fibrotic Healing in Urethral Regeneration

Advanced Science, EarlyView.
Fibrotic scarring persistently challenges urethral reconstruction. This study introduces a conformal, wearable ultrasound bioelectronic system that overcomes this by reprogramming fibroblast fate. The device activates a developmental Wnt–FGF10 axis, driving fibroblasts toward a regenerative FGF10+ phenotype that promotes angiogenesis and matrix ...
Mingming Yu, Xingxuan Zhang, Huan Zhang, Jun Wang, Fang Chen, Xiaojun Cai, Yichen Huang, Yuanyi Zheng   +7 more
wiley   +1 more source

CLASSIFICATION OF AUDIO SOURCE CHANNELS USING TIME-FREQUENCY ANALYSIS AND DECISION TREE CLASSIFIER

Academy Journal of Science and Engineering
This paper presents the development and classification of audio source separation algorithms utilizing timefrequency analysis techniques, specifically Wigner-Ville distributions (WVDs), compact kernel distribution (CKD) and multi-directional distribution
Sagir Lawan, Ashraf A. Ahmad, Amina Jibril, Idrisu Mohammed, Kulu Ahmad Amalo   +4 more
doaj  

Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics

Advanced Science, EarlyView.
Active gear‐based mechanical metamaterials enable simultaneous control of translational and torsional stiffnesses by 30–100×, break shear reciprocity under positive versus negative loads, broadly tune resonant frequencies, and offer programmable dynamic responses.
Xin Fang, Miao Yu, Dianlong Yu, Li Cheng
wiley   +1 more source