A new study analyzing spontaneous speech in 48 languages reveals that human beings across the globe structure their speech into rhythmic units at a remarkably consistent rate of one every 1.6 seconds. This low-frequency rhythm is stable across cultures, ages, and languages, suggesting a universal cognitive mechanism of human communication. The findings shed new light on how the human mind structures language in time. This may have implications for neuroscience, language learning, and speech technology.
A new study introduces a machine learning tool that combines satellite imagery and weather data to monitor chickpea crop health. The system accurately estimates Leaf Area Index (LAI) and Leaf Water Potential (LWP) across commercial fields, helping farmers make smarter irrigation decisions and improve yields. This research marks the first large-scale application of such technology in chickpea farming.
A new study reveals that combining natural antimicrobial peptides can significantly slow the development of antimicrobialresistance in bacteria. The research shows that using two peptides together prevents harmful bacteria from mutating as quickly, offering a promising alternative to traditional antibiotics. These findings could lead to safer, more sustainable disease control in livestock and agricultural settings.
