Results 21 to 30 of about 27,643 (149)
A soft poly (3,4‐ethylenedioxythiophene):poly (styrenesulfonate)‐based electrode enables continuous, high‐quality recording of peripheral nerve activity. A neural network model integrating handcrafted and convolutional neural network‐based features decodes whisker movements with strong generalization, offering insights into peripheral nerve function ...
Liangpeng Chen+22 more
wiley +1 more source
This review explores the cutting‐edge development of bio‐integrated flexible electronics for real‐time hemodynamic monitoring in cardiovascular healthcare. It covers key physiological indicators, innovative sensing mechanisms, and materials considerations. This paper highlights the application of both invasive and non‐invasive devices in cardiovascular
Ke Huang, Zhiqiang Ma, Bee Luan Khoo
wiley +1 more source
DiffMC‐Gen: A Dual Denoising Diffusion Model for Multi‐Conditional Molecular Generation
DiffMC‐Gen, a dual‐diffusion model for 2D and 3D molecular generation, simultaneously optimizes multiple key objectives across the drug design process, enabling the generation of novel, target‐specific small‐molecule ligands with high therapeutic potential.
Yuwei Yang+7 more
wiley +1 more source
Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang+6 more
wiley +1 more source
Piezoresistive Effect: A New Concept for Hearing Aids
An MXene/PVA sound sensor utilizing piezoresistive effects has been proposed with a detection limit of 60 dB and a frequency response of 20–4000 Hz, which is comparable to the performance of commercial hearing aids. By combining the sensor with machine learning, the accuracy rate of voiceprint recognition of wildlife conservation can reach up to 99 ...
Mengyao Gao+8 more
wiley +1 more source
This study presents a highly reliable gas sensor platform featuring SnO2 nanonetworks functionalized with Au and Pd nanocatalysts. Enhanced stability and optimized performance enable over 99.5% classification accuracy in deep learning, even under extreme conditions.
Yun‐Haeng Cho+15 more
wiley +1 more source
This study presents an innovative temperature difference (TD) design with an in‐plane gradient to optimize cooling channels in proton exchange membrane fuel cells (PEMFCs) under high current density (HCD) loading. The positive temperature difference (PTD) design improves dynamic response by enhancing hydration upstream and mitigating flooding ...
Fengyang Cai+3 more
wiley +1 more source
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai+8 more
wiley +1 more source
The expansive design space of advanced metasurfaces, particularly those with multiple degrees of freedom (MDOF), renders traditional design methods less effective. A physics‐driven intelligent design is proposed for MDOF metasurfaces, which integrates physical knowledge into neural networks, enhancing interpretability and computational efficiency. This
Jian Lin Su+10 more
wiley +1 more source
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley +1 more source