Results 151 to 160 of about 4,564 (243)

Altered Evening Aperiodic Activity and Microstate Dynamics in Insomnia Disorder: An OPM MEG Study

CNS Neuroscience &Therapeutics, Volume 32, Issue 8, August 2026.
Using wearable OPM‐MEG, this study characterized evening and morning resting state neurophysiology in insomnia disorder. A flatter evening aperiodic spectral exponent suggested relatively elevated cortical excitability, alongside altered microstate dynamics involving putative limbic and sensorimotor network states.
Feng Cui, Kejia Hu, Hui Zeng, Yang Wang, Xi Wang, Haiting Liu, Tangfen Wang, Yan Chang, Xiaodong Yang, Tao Hu, Tianxiao Shen, Jianbing Zhu, Jian Zheng, Donghua Pan   +13 more
wiley   +1 more source

Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel. [PDF]

Elife
Ahrends C, Woolrich MW, Vidaurre D.
europepmc   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

Communications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Physics-Aware Generative Demasking: Spatially Conditioned Diffusion for Robust Transient Detection in Industrial Noise. [PDF]

Entropy (Basel)
Cao H, Lv Z, Hu J, Wang H, Yang L, Zhang G.   +5 more
europepmc   +1 more source

Understanding Sex‐Specific Behavioral States of Bobcats in Response to Highway Proximity in South Texas

Ecology and Evolution, Volume 16, Issue 8, August 2026.
ABSTRACT Roads are a major source of landscape fragmentation that can influence movement patterns, survival, and behavioral states of carnivore species. Understanding their behavior and response to roads is crucial for developing effective mitigation strategies such as wildlife crossing structures, exclusion fencing, and habitat connectivity planning ...
Rupesh Maharjan, Sean Kiernan, Jack G. Towson, Elizabeth A. Saldo, Thomas M. Langschied, Emma K. Brookover, Daniel G. Scognamillo, John H. Young, Michael E. Tewes   +8 more
wiley   +1 more source

Marginally Interpretable Spatial Logistic Regression With Bridge Processes. [PDF]

Stat Med
Lee CJ, Dunson DB.
europepmc   +1 more source

Livestock Depredations and Prevention Strategies to Foster Human‐Carnivore Coexistence in Western Mongolia's High Mountain Systems

Ecology and Evolution, Volume 16, Issue 8, August 2026.
The implementation of visual deterrents (i.e., Foxlights) proved to be effective in reducing the number of night‐time livestock depredations by both snow leopards and wolves. ABSTRACT The decline of large carnivores and the overabundance of livestock practices contribute significantly to ecosystem degradation.
Marcello Franchini, Charleen Gavette, Rodney Jackson, Kayley Bateman, Ashleigh Lutz‐Nelson, Geraldine Werhahn, Yelik Nurbat, Marco Zaccaroni, Fabio Dartora, Munkhtsog Bayaraa, Claudio Augugliaro   +10 more
wiley   +1 more source

Photovoltaic Power Generation Fault Diagnosis Model Based on Multi‐Source Data Fusion Using Neural Network Algorithms

Engineering Reports, Volume 8, Issue 8, August 2026.
This study introduces a multi‐source data fusion framework for PV fault diagnosis that integrates an adaptive CNN with a collaborative data‐feature layer architecture. The model achieves 99.0% accuracy and 98.8% F1‐score, outperforming traditional methods by over 10% and offering a promising solution for reliable PV system monitoring. ABSTRACT Research
Zheng Li, Lin Wang, Huanghuang Jin, Xiaofan Zheng, Guo Zhang, Beibei Wang   +5 more
wiley   +1 more source

Inverse Statistics of Active Matter Trajectories to Distinguish Interaction Kernel Anisotropy from Emergent Correlations. [PDF]

Bull Math Biol
Martina-Perez SF.
europepmc   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, Volume 45, Issue 5, Page 2173-2185, August 2026.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source