Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning. [PDF]
He P, Zhao Z, Duan S, Wang P, Lei H.
europepmc +1 more source
High‐content Stimulated Raman Scattering (SRS) Imaging reveals that ovarian cancer cells surviving Chimeric Antigen Receptor (CAR) ‐T cell challenge exhibit increased cholesterol esterification. Pharmacological inhibition of this pathway with Avasimibe significantly enhances CAR‐T induced killing of ovarian cancer cells by reducing cancer cell ...
Chinmayee V. Prabhu Dessai +8 more
wiley +1 more source
A deep reinforcement learning integrated aerial RIS system for enhanced combat intelligence. [PDF]
Kamal MM +8 more
europepmc +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Decentralized Computation Offloading Strategy via Multi-Agent Deep Reinforcement Learning for Multi-Access Edge Computing Systems. [PDF]
Adu E +5 more
europepmc +1 more source
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey +6 more
wiley +1 more source
Optimizing thermoelectric energy harvesting using deep reinforcement learning for dynamic energy management and system efficiency. [PDF]
Chaudhari CN +6 more
europepmc +1 more source
A novel model for cultural-based classification of liberal arts using deep reinforcement learning. [PDF]
Zhao T.
europepmc +1 more source
Recommendation of deep reinforcement learning based on value function considering error reduction. [PDF]
Zhou J, Shen D, Guo Y, Wu Y, Ma J.
europepmc +1 more source

