By: Johan Potgieter - Cluster Industrial Software Lead at Schneider Electric Imagine walking into a factory where machines can think ahead, predict problems before it happens, and automatically make ...

Amid unprecedented scientific progress in oncology, a growing body of evidence reveals a parallel and profound crisis in the human experience of cancer care. Despite overall survival outcomes ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Accurate and reliable analytical data is essential for effective decision making in today’s competitive industrial landscape, especially in the condition monitoring arena, which focuses on predictive ...

The role of megafaunal exploitation in early human evolution remains debated. Occasional use of large carcasses by early hominins has been considered by some as opportunistic, possibly a fallback ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Objective To assess family caregiver burden and associated factors among caregivers of people with mental illness in Eastern Ethiopia. Design Cross-sectional study. Setting Three hospitals in Eastern ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Maternal peanut and peanut butter consumption during pregnancy and breastfeeding shaped DNA methylation patterns in children, ...