A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

EQT Foundation has invested in UK-based Biographica as part of its seed round, supporting the company’s machine learning platform for faster and more accurate crop gene discovery. Biographica’s ...

Urine-based aging clocks In the study, " A urinary microRNA aging clock accurately predicts biological age," published in npj Aging, researchers used machine learning to develop and validate a urinary ...

Abstract: Faults which are in close vicinity from the ends of the transmission line are cleared with prolonged delays due to pessimistic setting of distance relays. A communication system based ...

However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...

Research shows that sex differences play a substantial role in health and disease progression. To improve basic and translational science and address the existing gap for women’s health research, ...