Effects of high-voltage electrostatic fields on the quality of tilapia meat during refrigeration.

Fresh fish is typically brought to market refrigerated at approximately 4 °C, R-storage. A storage method has been devised that combines refrigeration with a high-voltage electrostatic field (100 kV/m; E-storage). It was developed to improve the quality and prolong the shelf life of foods.

Effect of thawing and cold storage on frozen chicken thigh meat quality by high-voltage electrostatic field.

One of the most popular issues in electrostatic biology is the effects of a high-voltage electrostatic field (HVEF) on the thawing of chicken thigh meat. In this study, chicken thigh meat was treated with HVEF (E-group), and compared to samples stored in a common refrigerator (R-group), to investigate how HVEF affects chicken thigh meat quality after thawing at low temperature storage (-3 and 4 degrees C). The results showed that there were no significant differences in biochemical and microorganism indices at -3 degrees C.

Develop a novel method for removing fusel alcohols from rice spirits using nanofiltration.

The removal effect on excessive fusel alcohols from rice spirits were investigated using nanofiltration (NF) and ultrafiltration (UF). Compared to UF (GE and GH membranes), NF (DK and DL membranes) showed 10 times greater effect for fusel alcohols rejection due to molecular weight cut-off. On operating pressures, 488.

Inference of genetic network of Xenopus frog egg: improved genetic algorithm.

An improved genetic algorithm (IGA) is proposed to achieve S-system gene network modeling of Xenopus frog egg. Via the time-courses training datasets from Michaelis-Menten model, the optimal parameters are learned. The S-system can clearly describe activative and inhibitory interaction between genes as generating and consuming process.

Computation intelligent for eukaryotic cell-cycle gene network.

Computational intelligent approaches is adopted to construct the S-system of eukaryotic cell cycle for further analysis of genetic regulatory networks. A highly nonlinear power-law differential equation is constructed to describe the transcriptional regulation of gene network from the time-courses dataset. Global artificial algorithm, based on hybrid differential evolution, can achieve global optimization for the highly nonlinear differential gene network modeling.