122163

: A mixture of cassava, potato, and sweet potato peels.

In recent scientific literature (December 2025), "122163" is the identifying number for a study titled Mixture design and machine learning-based optimization of fermentable sugar recovery. This research explores how to maximize bioethanol production from agricultural waste: 122163

: Researchers used Mixture Design Response Surface Methodology (MDRSM) and Artificial Neural Networks (ANN) to predict sugar yields. : A mixture of cassava, potato, and sweet potato peels

: An influential article published in the International Journal of Energy Sector Management (Document ID: 122163) discusses strategies for reforming the power sector in Mexico while balancing environmental goals like climate change. : An influential article published in the International

: Cellulose and starch content are the most critical factors influencing sugar recovery, while machine learning models help navigate the complex, non-linear relationships in these organic mixtures. 2. Public Policy and Government

The number is associated with several distinct professional and technical contexts, ranging from scientific research on bioenergy to public policy and administrative regulations. 1. Bioenergy Research: Feedstock Optimization