125157 Apr 2026

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.

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 125157

This paper introduces a more efficient mathematical method to predict how rainwater moves through soil, which is critical for forecasting and preventing shallow landslides. 4. Agribusiness & Sustainability Mathematics & Network Science This paper introduces a

The number serves as an "Article Number" for several distinct scientific research papers across different disciplines in the ScienceDirect / Elsevier database. A technical study on how to synchronize dynamic

A technical study on how to synchronize dynamic networks (like power grids or social networks) within a specific timeframe using "intermittent control," which only applies signals at certain intervals to save energy or bandwidth. 3. Environmental Science & Geology

"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).

"Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineering" Journal: Water Research , Volume 291 (2026).