125157

This paper explores how Multi-Agent Systems (MAS) powered by Large Language Models (like GPT-4) can be used to manage complex water engineering tasks, from infrastructure design to real-time resource management. 2. Mathematics & Network Science

Researchers analyzed what drives agricultural businesses in developing markets to adopt socially responsible practices, comparing factors like profit margins versus the personal ethics of managers. 125157

The number serves as an "Article Number" for several distinct scientific research papers across different disciplines in the ScienceDirect / Elsevier database. This paper explores how Multi-Agent Systems (MAS) powered

"Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineering" Journal: Water Research , Volume 291 (2026). The number serves as an "Article Number" for

"An improved Chebyshev semi-iterative method for simulating rainfall infiltration in unsaturated soils and its application to shallow landslides" Journal: Journal of Hydrology , Volume 590 (2020).