Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks.

Quantum computing and machine learning convergence enable powerful new approaches for optimizing mobile edge computing (MEC) networks. This paper uses Lyapunov optimization theory to propose a novel quantum machine learning framework for stabilizing computation offloading in next-generation MEC systems. Our approach leverages hybrid quantum-classical neural networks to learn optimal offloading policies that maximize network performance while ensuring the stability of data queues, even under dynamic and unpredictable network conditions.

Impact of EV interfacing on peak-shelving and frequency regulation in a microgrid.

A vehicle-to-grid (V2G) technology enables bidirectional power exchange between electric vehicles (EVs) and the power grid, presenting enhanced grid stability and load management opportunities. This study investigates a comprehensive microgrid system integrating EVs with solar (8 MW), wind (4.5 MW), and diesel generation sources, focusing on peak load reduction and frequency regulation capabilities.

Exploring nalbuphine loaded chitosan nanoparticles for effective pain management through intranasal administration: a comparative study.

Background: Intranasal drug delivery shows potential for brain access via olfactory and trigeminal routes.

Purpose: This work aimed to ensure brain availability of nalbuphine via the nasal route.

Method: Chitosan based nanoparticles loaded with nalbuphine were successfully prepared using ionic gelation method and characterised.

AI based UPQC control technique for power quality optimization of railway transportation systems.

Metro trains have non-linear load characteristics, which means that the power sent to them gets distorted. Problems are caused by changes in power, swells, harmonics, and other disturbances. In this research, an artificial intelligence-driven control method was used on a unified power quality conditioner (UPQC) to help reduce power quality problems and improve power quality.

Protective Effect of Organ Preservation Fluid Supplemented With Nicorandil and Rutin Trihydrate: A Comparative Study in a Rat Model of Renal Ischemia.

Objectives: The objective of organ preservation is sustained viability of detached/removed/isolated organs and subsequent successful posttransplant outcomes. Nicorandil (an ATP-sensitive potassium channel opener) is an efficacious agent to preserve lungs and heart. Rutin trihydrate (an antioxidant) inhibits free radical-mediated cytotoxicity and lipid peroxidation.