Results 231 to 240 of about 8,669,620 (261)

Further Evidences for the Sulfur Spillover on Carbon: Thermodynamic Aspects and Effects on Li‐S Solid‐State Batteries

Advanced Science, EarlyView.
ABSTRACT This study investigates sulfur spillover, the spontaneous and rapid spread of sulfur over carbon surfaces at ambient temperature. The process is studied by small‐angle X‐ray scattering (SAXS), X‐ray radiography, and microcalorimetry from which a number of physicochemical properties are derived.
Francesco Piccolo, Anka Berger, Sebastian Risse, Román Healy Corominas, Wilhelm Erth, Florian Fuchs, Jesus Andrade, Jörg Schuster, Marc Armbrüster, Philipp Adelhelm   +9 more
wiley   +1 more source

Design of dynamic adaptive control framework for exoskeleton robot driven by neuromuscular signal based on deep reinforcement learning. [PDF]

Front Comput Neurosci
Ma K.
europepmc   +1 more source

Targeting Hippocampal PTEN Suppresses Ferroptosis and Rescues Cognitive Decline in Alzheimer's Disease via Dual AKT/GSK3β/Nrf2 and AKT/STAT3 Axes

Advanced Science, EarlyView.
PTEN knockdown activates AKT phosphorylation, promoting Nrf2 nuclear translocation and STAT3 activation, which upregulates GPX4 and antioxidant enzymes HO‐1, SOD1, SOD2, and NQO1. These coordinated changes reduce lipid peroxidation and ROS, inhibit ferroptosis, and ultimately ameliorate cognitive impairment in APP/PS1 transgenic mice, highlighting a ...
Da‐Wei Wang, Meng‐Meng Liu, Yu‐Chen Zhao, Jia‐Yi Li, Wen Li, Xin Yu   +5 more
wiley   +1 more source

A V2X communication resource allocation method based on graph neural networks and deep reinforcement learning. [PDF]

Sci Rep
Yu W, Yang X, Yu S.
europepmc   +1 more source

Deep reinforcement learning based neurosense scheme for energy-efficient and secure wireless sensor networks. [PDF]

Sci Rep
Zhang X, Wang Z, Zhang Z, Li Z, Meng X, Wang Z.   +5 more
europepmc   +1 more source

Deep Reinforcement Learning-Based Energy-Efficient Resource Allocation and Scheduling in 6G-Enabled UAV-Assisted IoT Wireless Networks. [PDF]

Sensors (Basel)
Nauman A, Kim SW.
europepmc   +1 more source

Cloud-Edge Resource Scheduling and Offloading Optimization Based on Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Yin L, Xie Y, Zhao Z, Gao J.
europepmc   +1 more source

Entropy Regularization in Deep Reinforcement Learning: A Structured Review Across Classical Control, Generative Policies, and Reasoning Language Models. [PDF]

Entropy (Basel)
Taricco G.
europepmc   +1 more source

AI-enhanced inverse design of photonic crystal fiber optical modulator using deep reinforcement learning technique. [PDF]

Sci Rep
Dawood NYM, Younis BM, Hameed MFO, El-Mikati HA, Obayya SSA, Areed NFF.   +5 more
europepmc   +1 more source

BeamCraft: Deep Reinforcement Learning-DrivenMulti-Objective Beamforming for ISAC

Dao DN, Miao Y.
europepmc   +1 more source