Learn More
The accelerating effect of dissolved redox mediators has been studied in details in the bio-decolorization processes, but there are little literatures about the non-dissolved redox mediators. Here we describe the accelerating effect of anthraquinone as a redox mediator in the bio-decolorization. Decolorization of azo dyes was carried out experimentally(More)
Novel nitrogen removal technologies via nitrite pathway attract increasing interest in recent years. In this study, batch experiments were performed to investigate nitrite accumulation characteristics and shifts in nitrifying community structure at different growth environments including ammonia concentration, pH and alkalinity. It was found that nitrite(More)
The accelerating effect of quinones has been studied in the bio-decolorization processes, but there are no literatures about the incorporation bio-treatment technology of the bromoamine acid (BA) wastewater and azo dyes wastewaters under high-salt conditions (NaCl, 15%, w/w). Here we described the BA wastewater as a redox mediator in the bio-decolorization(More)
Electropolymerization biocarriers were prepared by the electropolymerization of polypyrrole (PPy) on an active carbon felt (ACF) electrode using doping anions anthraquinone-2-sulfonate (AQS) or Na(2)SO(4). The functional electropolymerization biocarrier (ACF/PPy/AQS) with AQS was used as an immobilized redox mediator for the denitrification process. The(More)
The study was conducted by a novel salt tolerant bacterium Gracilibacillus sp. GTY. The strain was identified on the basis of morphological and physio-biochemical characteristics, and 16S rDNA sequence analysis. Decolorization was performed by growing and resting cells, as well as by extracted azo reductase. Strain grown in the media containing 15% (w/v) of(More)
A novel nonlinear feature extraction method with fuzzy set theory, called KFMSD ( kernel based fuzzy maximum scatter difference ), is proposed. The proposed method first maps the input data into a potentially much higher dimensional feature space by virtue of nonlinear kernel trick, and thus, the problem of nonlinear feature extraction is overcome. Then,(More)
Wind turbine anomaly or failure detection using machine learning techniques through supervisory control and data acquisition (SCADA) system is drawing wide attention from academic and industry While parameter selection is important for modelling a wind turbine’s condition, only a few papers have been published focusing on this issue and in those papers(More)
Our previous studies revealed that the PLGA-based particulate systems loaded with cucurbitacin showed limited anti-melanoma efficiency in xenograft animal models after intratumoral injection, which was due to the undesirable initial burst release and the leakage of the particulate carriers from the injection site through the pinhole. In this paper, two(More)
Under deregulation, the loads are difficult in forecasting, there are large differences between the actual demand of electric power and the load forecast in bulk power system. Transmission planning becomes very complex under deregulation. It is very important to transmission planning that analyzing and evaluating of the transmission network adaptability to(More)