Gas composition modeling in a reformed Methanol Fuel Cell system using adaptive Neuro-Fuzzy Inference Systems

This work presents a method for modeling the gas composition in a Reformed Methanol Fuel Cell system. The method is based on Adaptive Neuro-Fuzzy-Inference-Systems which are trained on experimental data. The developed models are of the H₂, CO₂, CO and CH₃OH mass flows of the reformed gas. The ANFIS models are able to predict the mass flows with mean absolute errors for the H₂ and CO₂ models of less than 1% and 6.37% for the CO model and 4.56% for the CH₃OH model.     

Regulation of the interferon-inducible protein kinase PKR and (2''-5'')oligo(adenylate) synthetase by a catalytically inactive PKR mutant through competition for double-stranded RNA binding

This study evaluated the long-term effect of an ultrasonic toothbrush used as part of a daily oral hygiene regimen on supragingival plaque, gingivitis, and gingival bleeding. Compared with a conventional toothbrush, the ultrasonic toothbrush was significantly more effective in reducing plaque formation (p < 0.05), removing plaque (p < 0.05), and reducing gingivitis (p < 0.05) during the 6-month study period.