Results 91 to 100 of about 8,931 (261)

Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming

Advanced Science, EarlyView.
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du, Zhixiang Niu, Yanfen Wang, Shirui Zhou, Youqing Yang, Xiang Wei, Haishan Niu, Yitao Zhang, Anquan Xia, Yali Liu, Yanbin Hao, Kai Xue, Bingfang Wu, Xinquan Zhao, Tandong Yao, Yiyu Chen   +15 more
wiley   +1 more source

$L^{2}$-boundedness of Marcinkiewicz integral with rough kernel

Hokkaido Mathematical Journal, 1998
The Marcinkiewicz integral operator on product domains is defined by \[ \mu_\Omega (f)(x)= (\int^\infty_0 \int^\infty_0 | F_{t,s} (x,y) |^2t^{-3} s^{-3} dt ds)^{1/2}, \] where \[ F_{t,s} (x,y)= \int_{| x-u |\leq t} \int_{| y-v |\leq s} \Omega(x-u,y-v) | x -u |^{-n+1} | y-v |^{-m+1} f(u,v) du dv, \] \(\Omega (x,y) \in L^1(S^{n-1} \times S^{m-1})\), \(n ...
openaire   +3 more sources

Large‐Area Noise‐Resilient Multiplexing Triboelectric Biomechanical Sensing on Clothing for High‐Precision Full‐Body Motion Capture in Wearables

Advanced Science, EarlyView.
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Yi‐Ting Chen, Jiun‐Wei Fong, Tzu‐Ching Lu, Tai‐Chen Wu, Zhi‐Xian Yan, Kai‐Yuan Hsiao, Jiann‐Yeu Chen, Ming‐Yen Lu, Heng‐Jui Liu, Ruiyuan Liu, Ying‐Chih Lai   +14 more
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

Tuning load redistribution and damage near heterogeneous interfaces

Scientific Reports
We investigate interface failure of model materials representing architected thin films in contact with heterogeneous substrates. We find that, while systems with statistically isotropic distributions of impurities derive their fracture strength from the
Christian Greff, Paolo Moretti, Michael Zaiser   +2 more
doaj   +1 more source

α‐Synuclein Forms Distinct Micelle‐Like Assemblies at Low Ionic Strengths

Advanced Science, EarlyView.
At high ionic strength, α‐synuclein forms diverse assemblies, including oligomers, fibrils, and condensates. Here, we show that at low ionic strength, α‐synuclein adopts a distinct, low‐abundance assembly state. These assemblies maintain a constant size above a critical concentration and do not coalesce, suggesting a micelle‐like organization ...
Sophie Hertel, Soumik Ray, Federica Saraceno, Giacomo Nisini, Georgia Nasi, Thomas Oliver Mason, Antonin Kunka, Effrosyni Agrimaki, Dannie Juul Olesen, Francesco Simone Ruggeri, Alexander K. Buell   +10 more
wiley   +1 more source

Approximate‐Guided Representation Learning in Vision Transformer

CAAI Transactions on Intelligence Technology
In recent years, the transformer model has demonstrated excellent performance in computer vision (CV) applications. The key lies in its guided representation attention mechanism, which uses dot‐product to depict complex feature relationships, and ...
Kaili Wang, Xinwei Sun, Huijie He, Fenhua Bai, Tao Shen   +4 more
doaj   +1 more source

Blockchain-Enabled Privacy-Preserving Federated Learning with Deep Capsule Networks for Energy-Efficient Speed Control in Autonomous Vehicles

Communications
Rough roads negatively affect the ride quality and energy efficiency of autonomous vehicles (AVs) and demand adaptive speed control. To solve this, this research proposes a Deep Capsule Network integrated with Sparse Kernel K-means Clustering (DCapsNet +
N Sanjith, M. Nithya, Sreeju P Sreedharan   +2 more
doaj   +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

Variable Herz–Morrey estimates for rough fractional Hausdorff operator

Journal of Inequalities and Applications
As a first attempt, we obtain the boundedness of the rough fractional Hausdorff operator on variable exponent Herz-type spaces. The method used in this paper enables us to study the operator on some other function spaces with variable exponents.
Amjad Hussain, Ilyas Khan, Abdullah Mohamed   +2 more
doaj   +1 more source