Researchers at Osaka Metropolitan University have verified the decomposition and detoxification capabilities of ultrasonic irradiation on the harmful organic compound, carbon tetrachloride (CCl₄).

Chinese researchers have taken a fresh look at one of the biggest challenges in precision manufacturing: understanding and controlling the many different errors that affect the accuracy of machine tools. Their review, published in the International Journal of Extreme Manufacturing, explains why these errors are becoming increasingly complex to manage and how new technologies can help.

As summer festivals and youth gatherings return in full swing, new research from Flinders University is revealing the hidden health risks that come with multi-day events, and how to avoid them. A comprehensive review led by public health experts to identify and understand the risks that occur at multi-day events reveals that infectious disease outbreaks and foodborne illnesses are the most common public health threats at youth-focused mass gatherings.

Nashville, TN & Williamsburg, VA – 24 Nov 2025 – A new study published in Artif. Intell. Auton. Syst. delivers the first systematic cross-model analysis of prompt engineering for structured data generation, offering actionable guidance for developers, data scientists, and organizations leveraging large language models (LLMs) in healthcare, e-commerce, and beyond. Led by Ashraf Elnashar from Vanderbilt University, alongside co-authors Jules White (Vanderbilt University) and Douglas C. Schmidt (William & Mary), the research benchmarks six prompt styles across three leading LLMs to solve a critical challenge: balancing accuracy, speed, and cost in structured data workflows.

Structured data—from medical records and receipts to business analytics—powers essential AI-driven tasks, but its quality and efficiency depend heavily on how prompts are designed. “Prior research only scratched the surface, testing a limited set of prompts on single models,” said Elnashar, the study’s corresponding author and a researcher in Vanderbilt’s Department of Computer Science. “Our work expands the horizon by evaluating six widely used prompt formats across ChatGPT-4o, Claude, and Gemini, revealing clear trade-offs that let practitioners tailor their approach to real-world needs.”