Understanding negative feedback and classical conditioning of autonomic responses in physiological regulation. [PDF]
Ramsay DS, Woods SC.
europepmc +1 more source
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley +1 more source
A caveat regarding the unfolding argument: implications of plasticity. [PDF]
O'Reilly-Shah VN +2 more
europepmc +1 more source
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu +5 more
wiley +1 more source
How the visual brain can learn to parse images using a multiscale, incremental grouping process. [PDF]
Mollard S, Bohte SM, Roelfsema PR.
europepmc +1 more source
Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi +3 more
wiley +1 more source
Temporal dynamics of frontoparietal processing during personal space intrusion. [PDF]
Xiang S, Zou X, Luo C, Liu N.
europepmc +1 more source
A Spatio‐Temporal Dynamics Model for Indoor Environmental Forecasting
Accurate forecasting of indoor environmental conditions is essential for intelligent building operations and comfort‐oriented controls. However, reliable prediction remains challenging due to spatial heterogeneity across sensing locations, complex multi‐modal interactions, and nonstationary temporal dynamics.
Goro Terumichi +3 more
wiley +1 more source
Agricultural Cyber-Physical Systems: Research Progress in Perception-Driven Multi-Robot Coordination and Logistics in Unstructured Environments. [PDF]
Zhang J +5 more
europepmc +1 more source
Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source

