Prediction of the biogas production using GA and ACO input features selection method for ANN model

This paper presents a fast and reliable approach to analyze the biogas production process with respect to the biogas production rate. The experimental data used for the developed models included 15 process variables measured at an agricultural biogas plant in Germany. In this context, the concentration of volatile fatty acids, total solids, volatile solids acid detergent fibre, acid detergent lignin, neutral detergent fibre, ammonium nitrogen, hydraulic retention time, and organic loading rate were used. Artificial neural networks (ANN) were established to predict the biogas production rate. An ant colony optimization and genetic algorithms were implemented to perform the variable selection. They identified the significant process variables, reduced the model dimension and improved the prediction capacity of the ANN models. The best prediction of the biogas production rate was obtained with an error of prediction of 6.24% and a coefficient of determination of R2 = 0.9

Pharmacokinetics of high-dose oral thiamine hydrochloride in healthy subjects

Background: High dose oral thiamine may have a role in treating diabetes, heart failure, and hypermetabolic states. The purpose of this study was to determine the pharmacokinetic profile of oral thiamine hydrochloride at 100 mg, 500 mg and 1500 mg doses in healthy subjects. Methods: This was a randomized, double-blind, single-dose, 4-way crossover study. Pharmacokinetic measures were calculated. Results: The $AUC_{0-10 hr}$ and $C_{max}$ values increased nonlinearly between 100 mg and 1500 mg. The slope of the $AUC_{0-10 hr}$ vs dose, as well as the $C_{max}$ vs dose, plots are steepest at the lowest thiamine doses. Conclusion: Our study demonstrates that high blood levels of thiamine can be achieved rapidly with oral thiamine hydrochloride. Thiamine is absorbed by both an active and nonsaturable passive process

Continuous Freezecasting

In electric vehicle manufacturing, battery electrodes are made using roll-to-roll manufacturing, a continuous process in which an electrode mixture is moved along a roller-based processing line. It is efficient and cost-effective. Freeze casting is a process used to manufacture ceramic materials by using a temperature gradient to cast. The gradient aligns the grains in such a way that makes the material very conductive. The goal of this project is to design a mechanism to allow continuous freeze casting to be used in electrode manufacturing.Wenda TanUM Mechanical Engineering departmenthttp://deepblue.lib.umich.edu/bitstream/2027.42/192012/1/UM_Tan_F23_Team08_Continous-Freeze-Casting.pd