Results 171 to 180 of about 31,722 (259)

Triboelectric nanogenerators for vehicle intelligent cockpits

FlexMat, EarlyView.
Converting mechanical stimuli from drivers and vehicle motion into electrical signals, triboelectric nanogenerators provide promising interfaces toward passive, flexible, distributed and intelligent sensing for next‐generation automotive cockpits to support three core functional dimensions: driver state monitoring, vehicle state monitoring, and human ...
Haiqiu Tan, Shiquan Lü, Xiangwei Meng, Huiying Zhang, Wenxing Zhang, Dongxian Sun, Xiao Lu, Lei Wang, Haodong Zhang, William W. Yu   +9 more
wiley   +1 more source

Traffic jams: music and traffic noise interact to influence the vividness, sentiment, and spatiotemporal properties of directed mental imagery. [PDF]

Humanit Soc Sci Commun
Ayyildiz C, Prince JB, Delalande J, Herff SA.   +3 more
europepmc   +1 more source

Classified Comparison and Cause Analysis of the Characteristics of Co‐Disabilities Among Older Adults With Physical Disability in China

Health Care Science, EarlyView.
This study used prevalence comparisons and binary logistic regression to analyze the data from the First and Second China National Sample Survey on Disability conducted in 1987 and 2006, respectively. Co‐disability patterns among older adults with physical disability in China were examined, and the associations of other disability types with both the ...
Yiran Wang, Xiaodong Zhang, Lu Tan, Chenyu Yan, Xiaoqian Yan, Wenwen Liu, Tianran Wang, Sijiu Wang, Wannian Liang   +8 more
wiley   +1 more source

Neuromorphic Hardware Materials for Intelligent Artificial Perception and Multimodal Fusion: From Sensing to Cognition

Interdisciplinary Materials, EarlyView.
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu, Yuqing Hu, Changjin Wan, Qing Wan   +3 more
wiley   +1 more source

Materials and Music: Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

Interdisciplinary Materials, EarlyView.
Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley   +1 more source

A Machine Learning-Based Framework for Risk Recognition and Reliability Evaluation in City Expressway Ramp Merging. [PDF]

Sensors (Basel)
Li Z, Hu S, Zhang K.
europepmc   +1 more source

Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories

International Journal of Finance &Economics, EarlyView.
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley   +1 more source

A multiplex interactome of Ebola virus proteins reveals TM9SF2 as a cell‐surface attachment factor that promotes viral entry

iMetaOmics, EarlyView.
This study generates a comprehensive Ebola virus (EBOV)‐human protein–protein interactome, comprising 1728 core high‐confidence interactions. Further interactome analysis revealed the potential association of EBOV glycoprotein (GP) with the host factor TM9SF2. Subsequent mechanistic investigations confirmed that TM9SF2 functions as an attachment factor
Limin Shang, Shouwen Du, Yuchen Liu, Letian Li, Xi Wu, Yanzhi Yuan, Chaozhi Jin, Qingkun Mi, Yuhang Wang, Xiaoshuang Shi, Jiamin Wang, Guoqing Zhang, Yidan Ma, Weijin Huang, Jigang Wang, Jian Wang, Chang Li   +16 more
wiley   +1 more source

Dual chaotic encryption method for wireless communication privacy data based on deep learning. [PDF]

PLoS One
Yu H.
europepmc   +1 more source