Adenostemma lavenia, a traditionally used medicinal plant, has been employed to manage pain, inflammation, and circulatory issues. This study investigates the analgesic, anti‐inflammatory, and thrombolytic potentials of the acetone extract of A. lavenia leaves (AEAL) using in vivo, in vitro, and in silico methods.
Nusrat Jahan Moon +10 more
wiley +1 more source
DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]
Neelima S, Sree SR, Ramakrishnaiah N.
europepmc +1 more source
CRISPR/Cas9 has revolutionized the field of gene therapy, but delivery remains an outstanding issue. We propose a nonviral gold‐nanoparticle platform for co‐delivery of CRISPR/Cas9 ribonucleoprotein and long 2.1 kilobase dsDNA transgene constructs. This CRISPR‐AuNP is inexpensive to produce and mediate gene editing and DNA delivery in T cells and CD34+
Rachel A. Cunningham +8 more
wiley +1 more source
Innovative fuzzy reinforcement learning based energy management for smart homes through optimization of renewable energy resources with starfish optimization algorithm. [PDF]
Hamedani MMK +3 more
europepmc +1 more source
PKMζ-KIBRA interactions, molecular turnover, and memory. [PDF]
Hsieh C +6 more
europepmc +1 more source
Reinforcement Learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management: Recent Advances and Prospects [PDF]
Barth, Matthew +3 more
core
An optimal scheduling method of integrated energy system in industrial parks considering carbon trading and electric vehicle charging load. [PDF]
Wendong H +6 more
europepmc +1 more source
ABSTRACT This study investigates the flow of a magnetized hybrid nanofluid over a permeable stretching surface. The mass and thermal transport within the system is regulated using the Cattaneo–Christov flux theory. The fluid is additionally subjected to thermophoresis, chemical reaction, Brownian motion, and activation energy effects.
Ebrahem A. Algehyne +6 more
wiley +1 more source
Deep Reinforcement Learning for Autonomous Underwater Navigation: A Comparative Study with DWA and Digital Twin Validation. [PDF]
Mari Z, Nawaf MM, Drap P.
europepmc +1 more source

