Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets. [PDF]
Alkahtani HK +3 more
europepmc +1 more source
Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation
Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu +10 more
wiley +1 more source
Bi-level graph attention paradigm with differential strategy integration for heterogeneous multi-agent reinforcement learning. [PDF]
Li Y, Zhang Z, Wang J.
europepmc +1 more source
In this work, we present a bile‐based memristor hardware framework that enables direct, label‐free identification of cholelithiasis and gallbladder cancer at the device level. The Ag/bile/FTO memristor features stable resistive switching and disease‐specific electrical responses, providing a conceptual foundation for circuits and an integrated ERCP ...
Junming Zhu +17 more
wiley +1 more source
Hierarchical coordinated scheduling algorithm for reactive power and voltage in cross-regional power grids based on multi-agent reinforcement learning. [PDF]
Lin Z, Zhang X, Ren Z, Shao Y, Chen Y.
europepmc +1 more source
Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan +6 more
wiley +1 more source
Blockchain-enhanced incentive-compatible mechanisms for multi-agent reinforcement learning systems. [PDF]
Tian K.
europepmc +1 more source
Thermal Shifts Dominate Single‐Gene Responses to Transcription‐Targeting Antibiotics
Thermal shifts reshape bacterial responses to transcription‐targeting antibiotics. In E. coli, temperature can dominate antibiotic‐induced genome‐wide expression, particularly outside 30°C–39°C, through changes in adenosine triphosphate (ATP), nucleoid organization, and drug‐target engagement.
Rahul Jagadeesan +5 more
wiley +1 more source
A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games. [PDF]
Su Q, Wang H, Xia Y, Wang L.
europepmc +1 more source
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei +3 more
wiley +1 more source

