Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Chandrashekar Althati's patented multivariate classification revolutionizes real-time transaction analysis, driving fraud ...

The authors proposed two hypotheses: first, that methamphetamine induces neuroinflammation, and second, that it alters neuronal stem cell differentiation. These are valuable hypotheses, and the ...

The huge potential of liquid chromatography–high-resolution mass spectrometry (LC-HRMS) still comes along with the challenges of data analysis. Regions of interest multivariate curve resolution ...

Principal component analysis (PCA) is a convenient way to determine the influence of the relationships among all the variables studied. This multivariate-covariance structure modeling technique aims ...

Background Data regarding long-term recovery from autoimmune encephalitis (AE) remain limited. Methods This retrospective observational study investigated outcomes in 182 patients who met the 2016 ...

The future of data classification isn't just about categorizing data—it's about understanding it in all its complexity and context.

Companies can try to avoid or minimize tariffs by requesting exemptions or legally reclassifying their products. Here's a look at some of the strategies that have worked in the past.

Background The Prognostic Nutritional Index (PNI), calculated from serum albumin levels and lymphocyte counts, is a simple ...