Influence maximization, the identification of pivotal nodes within a network to maximize the spread of information or behaviors, plays a vital role in various domains, including social networks, marketing, and epidemiology. This paper presents "Influence Max," an innovative algorithm designed to efficiently identify influential nodes by considering the influence propagation range. Influence Max leverages the concept of influence propagation range, focusing on nodes that can reach a wide audience within a network. Through comprehensive evaluations on diverse network datasets, Influence Max demonstrates superior performance in terms of influence maximization when compared to existing methods. This algorithm offers a practical and scalable solution for influence maximization tasks, contributing to advancements in network analysis and decision-making processes.

This study investigates the impact of cryogenic treatment on the durability of cutting tools. Cryogenic treatment involves subjecting the tools to extremely low temperatures to enhance their mechanical properties and extend their lifespan. Through a comprehensive investigation, various aspects of tool durability, including wear resistance, tool life, and cutting performance, are examined before and after cryogenic treatment. Experimental data and analytical techniques are employed to assess the effectiveness of cryogenic treatment in improving cutting tool durability. The study provides valuable insights into the mechanisms underlying the enhancement of tool performance through cryogenic treatment, offering practical implications for machining processes and tooling applications.