Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
This work, combining behavioural genetics and calcium imaging, provides evidence for a form of learning in Drosophila that derives solely from direct or (optogenetically induced) phantom experience of ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Abstract: A fast 3D numerical solver based on an electric field integral equation (EFIE) formulation is developed for analyzing metasurfaces (MTSs) in reconfigurable intelligent surface (RIS) ...
Automation isn't just for builds and deployments anymore—let’s build something fun with it. In this project, we'll explore how to turn GitHub Issues into a creative workflow using Issue Ops. We'll ...
Abstract: Dynamic Behavior of Materials, Volume 1 of the Proceedings of the 2025 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the first volume of five from the Conference, ...
Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Bangkok 10330, Thailand ...
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