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This study found that laser-based goniophotometry can effectively monitor changes in hair surface reflection related to color and cuticle cell tilt across different ethnic origins.

This study employed a laser-based method to analyze how light reflection patterns vary on human hair fibers, revealing changes related to hair color and the tilt of the cuticle cells.

This chapter discusses Bayesian networks, their properties, and how they enable probabilistic inference with continuous variables, but it reports no new findings.

This study presents evidence suggesting that androgenetic alopecia is most likely inherited through a polygenic model, challenging the traditional view that it is caused by a simple Mendelian autosomal dominant gene.

In this study, Gaussian process regression models combined with Grey Wolf optimization were used to predict and optimize phenolic and flavonoid content extraction from Carthamus caeruleus L. rhizomes, showing high accuracy and helping improve understanding and extraction processes through a new interactive tool.