Pesticide residue analysis in food remains a vital component of food safety and human exposure assessment, particularly as the field of exposomics encourages a more holistic view of chemical exposure ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

The digital information system and automated production line are empowered by COSMOPlat, an industrial internet platform ...

Artificial intelligence and machine learning have the potential to reshape the scientific landscape. Yet, as the International Women in Chromatography founders stress, these advances must be grounded ...

Last year, we celebrated 50 years since the first papers on fluorescence correlation spectroscopy (FCS) were published. It ...

Objectives The objective of our study was to assess the benefits and harms of tramadol vs placebo in adults with chronic pain. Design The research method was a systematic review of randomised clinical ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Abstract: Multidimensional feature extraction and fusion algorithms are widely utilized to improve the performance of radar maritime target detection. However, these methods often suffer from ...

A novel spectroscopic method developed at Institute of Science Tokyo, Japan, enables highly sensitive analysis of molecules ...

Abstract: Palantir Gotham is a big data analysis and management software based on dynamic ontology technology, catering to the domains of military decision-making, national defense security, ...

Is age assurance fair for everyone? This is the question raised by a new analysis of Australia’s Age Assurance Technology Trial (AATT), conducted by the Guardian. Or rather, it is the set-up to the ...