Advanced Science, EarlyView.This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou +8 more
wiley +1 more source
A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis. [PDF]
Healthc Anal (N Y)Sharma D, Shah A, Gopalappa C.
europepmc +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Degradation-constrained multi-agent reinforcement learning with centralized training and decentralized execution for vehicle-to-grid optimization in renewable-dominated distribution networks. [PDF]
Sci RepShiferaw Y, Kiros M, Yeneneh K, Sufe G.
europepmc +1 more source
PLXDC2 siRNA‐Mediated Intervention Attenuates Microglial Senescence Through cGAS‐STING Signaling
Advanced Science, EarlyView.PLXDC2 was identified as a microglial target in Parkinson's disease through human and mouse single‐cell analyses. Ferritin‐armed biomimetic nanovesicles delivered PLXDC2 siRNA, deferoxamine, and CeO2 nanoparticles across the blood–brain barrier, reducing cGAS‐STING activation, iron burden, oxidative stress, and senescence in microglia, thereby ...
Heyue Lu +13 more
wiley +1 more source
Joint optimization of dynamic pricing and personalized recommendation for telecommunications value added services via multi agent reinforcement learning. [PDF]
Sci RepZou Z +5 more
europepmc +1 more source
Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues
Advanced Science, EarlyView.Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali +2 more
wiley +1 more source
A cognitive internet of things resource allocation method based on multi-agent reinforcement learning algorithm. [PDF]
Sci RepWang R, Shen Y, Wang D, Li W.
europepmc +1 more source
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
An often neglected issue in multi-agent reinforcement learning (MARL) is the potential presence of unreliable agents in the environment whose deviations from expected behavior can prevent a system from accomplishing its intended tasks.
Darvariu, Victor +3 more
core
Anode‐Free Sodium Metal Batteries: From Materials Design to System‐Level Integration
Advanced Science, EarlyView.Anode‐free sodium metal batteries hold no sodium reserve, so every inefficiency becomes permanent loss. Resolving the inventory into reversible, dead, and chemically bound fractions exposes what Coulombic efficiency hides. Practical 500‐cycle operation requires above 99.95%, a threshold few systems meet under lean electrolyte and high areal capacity ...
Hamid Hussain +10 more
wiley +1 more source