Results 191 to 200 of about 404,230 (315)
Advanced Science, EarlyView.This study presents a wireless, non‐invasive strategy for neural repair by developing a biodegradable piezoelectric dural patch that, under transcranial ultrasound, generates localized electrical fields to drive endogenous neural stem cells toward neuronal differentiation and functional integration.
Pengbo Zhou +7 more
wiley +1 more source
PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping
Advanced Science, EarlyView.scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su +7 more
wiley +1 more source
Data-Driven Self-Triggered Control for Networked Motor Control Systems Using RNNs and Pre-Training: A Hierarchical Reinforcement Learning Framework. [PDF]
Sensors (Basel)Chen W, Wan H, Luan X, Liu F.
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
Advanced Science, EarlyView.ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Learning hierarchical controllers through reinforcement learning
Frontiers in Computational Neuroscience, 2010 openaire +1 more source
Advanced Science, EarlyView.This review presents a process‐oriented framework for vascularized cardiac tissue engineering, highlighting how the coordinated design of cells, biomaterials, and biofabrication strategies enables the functional development or vascularized myocardium for disease modelling and drug discovery.
Yang Liu +9 more
wiley +1 more source
Compositionality for hierarchical reinforcement learning
Recent breakthroughs in AI have proven that reinforcement learning can be used successfully to solve complex sequential decision problems to achieve near-optimal solutions. However, despite the successful applications that use function approximation techniques, RL algorithms face open challenges that involve data efficiency and generalization.
openaire +1 more source
Advanced Science, EarlyView.This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang +6 more
wiley +1 more source
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning. [PDF]
Front Comput Neurosci, 2016 Chalmers E, Luczak A, Gruber AJ.
europepmc +1 more source
The Elephant Trunk Skin Inspires a Highly Sensitive and Deformable, Yet Robust, Armor Skin
Advanced Science, EarlyView.The study presents the elephant trunk‐inspired armor skin with tactile sensing (ETATS). The ETATS architecture stretches and compresses while resisting puncture and tear, and it enables optical detection of pressure and lateral strain. Morphology‐based decoupling of strain and pressure paves the way to sensitive and deformable, yet robust, soft‐robotic
Jun Chang Yang +3 more
wiley +1 more source