Nurr1 Orchestrates Claustrum Development and Functionality
Nurr1 (Nr4a2) is the master transcription factor to control claustrum morphogenesis and cell fate decision postmitotically by inhibiting intracellular G‐protein signaling. Nurr1 deficiency alters the transcriptomic profiles of subcortical claustral neurons into neocortical insular neurons, resulting in defected claustrum development, impaired axonal ...
Kuo Yan +12 more
wiley +1 more source
Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation
In the review paper, design rationale and approaches for bioinspired sensors and actuators in robotics applications are presented. These bioinspired microstructure strategies implemented in both can improve the performance in several ways. Also, recent ideas and innovations that embed robotic materials with logic and computation with it are part of the
Sakshi Sakshi +4 more
wiley +1 more source
A hierarchical reinforcement learning method for missile evasion and guidance. [PDF]
Yan M, Yang R, Zhang Y, Yue L, Hu D.
europepmc +1 more source
Hierarchical reinforcement learning for spoken dialogue systems [PDF]
This thesis focuses on the problem of scalable optimization of dialogue behaviour in speech-based conversational systems using reinforcement learning. Most previous investigations in dialogue strategy learning have proposed flat reinforcement learning methods, which are more suitable for small-scale spoken dialogue systems. This research formulates the
openaire +3 more sources
Wedelolactone (WED), a natural TLR2 agonist, promotes neutrophil differentiation and enhances bactericidal function, offering a potential therapeutic strategy for neutropenia. Using a multi‐omics approach, this study reveals that WED activates the TLR2/MEK/ERK pathway, upregulating key transcription factors (PU.1, CEBPβ) to drive neutrophil development.
Long Wang +16 more
wiley +1 more source
Hierarchical Reinforcement Learning Based Resource Allocation for RAN Slicing
As the complexity of wireless mobile networks increases significantly, artificial intelligence (AI) and machine learning (ML) have become key enablers for radio resource management and orchestration.
Hasan Anil Akyildiz +3 more
doaj +1 more source
A digital twin-driven flexible scheduling method in a human-machine collaborative workshop based on hierarchical reinforcement learning. [PDF]
Zhang R, Lv J, Bao J, Zheng Y.
europepmc +1 more source
Hierarchical Object Detection with Deep Reinforcement Learning
This work introduces a model for Hierarchical Object Detection with Deep Reinforcement Learning (HOD-DRL). The key idea is to focus on those parts of the image that contain richer information and zoom on them. We train an intelligent agent that, given an image window, is capable of deciding where to focus the attention on five different predefined ...
Bellver, Míriam +3 more
openaire +5 more sources
Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du +5 more
wiley +1 more source
Intelligent air defense task assignment based on hierarchical reinforcement learning. [PDF]
Liu JY, Wang G, Guo XK, Wang SY, Fu Q.
europepmc +1 more source

