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Six cruises were conducted in a fish farm adjacent to the Ninghai Power Plant in Xiangshan Bay, East China Sea. Fish farming significantly increased NH 4 + , DIP, and TOC concentrations, while it significantly decreased the DO level. These increase/decrease trends were more pronounced in warmer seasons. Although culture practices did not significantly increase phytoplankton density, it drastically enhanced dinoflagellate abundance and domination. Significant differences in species diversity and community composition between the cages and the control area were also observed. Temperature elevation caused by thermal discharge associated with eutrophication resulted in a dominant species shift from diatoms alone to dinoflagellates and diatoms. This is the first report of stress-induced toxic dinoflagellate (Prorocentrum minimum) blooms in winter and the winter–spring transition in this bay. Therefore, the effects of aquaculture activity and power plant construction in such a eutrophic, semi-enclosed bay require further attention.

Epigallocatechin gallate (EGCG), which is derived from green tea, is well known for its chemopreventive activity. Several studies have shown that p53 plays an important role in the activity of EGCG; however, the mechanism by which EGCG regulates p53 requires further investigation. In the present study, we showed that EGCG inhibits anchorage-independent growth of human lung cancer cells by upregulating p53 expression. EGCG treatment can substantially increase p53 stability, promote nuclear localization of p53 and decrease nuclear accumulation of MDM2. We also found that EGCG increases the phosphorylation of p53 at Ser15 and Ser20 and enhances its transcriptional activity. Although EGCG promotes MDM2 expression in a p53-dependent manner, the interaction between MDM2 and p53 was significantly inhibited following EGCG treatment, which resulted in the inhibition of MDM2-mediated p53 ubiquitination. Thus, our results suggest that the stabilization and activation of p53 may partly contribute to the anticancer activity of EGCG.

Support Vector Machines (SVM) is a new type of machine learning algorithm. Compared with conventional learning algorithms, SVM enhances the generalization ability of the models by employing structural risk minimization criterion to minimize the sample errors and simultaneously decrease the upper bound of the predict error of the models. The global optimal solution can be uniquely obtained owing to that SVM converts machine learning into quadratic programming. Based on the local data from hydrogenation equipment, a predictive model using Least Squares Support Vector Machines (LS-SVM) is established for three important quality targets of diesel oil in this paper, and compared with neural network and stands SVM on precision. Finally, it is proved that the proposed predictive models based on LS-SVM can predict the quality target more efficiently and rapidly than stands SVM and neural network. It provided a method for online diagnosing fault of quality targets.

Microbiological investigation was performed to determine the mariculture impact on the ecological distribution of bacteria in the sediment of the laver culture area and cage culture area of Xiangshangang Bay in January and October,2006,and the results were compared with those in adjacent non-cultured area of cage and laver culture.Bacterial quantity presents a series of characters in sediment:Higher bacterial number was observed in Oct.than that in Jan.,and the horizontal distribution of bacterial quantity displayed that Cage culture area[average of(9.6×104±2.0×105) cfu/g]Reference site near cage[average of(1.5×104±2.4×104) cfu/g]Laver culture area[average of(4.3×103±1.6×103) cfu/g]and Reference site near laver culture[average of(4.7×103±3.0×103) cfu/g].109 strains of heterotrophic bacteria isolated from laver culture area mainly belonged to 17 genera,and Bacillus and Coryneforms were the dominant genera.95 strains isolated from reference site near laver culture mainly belonged to 18 genera,and Bacillus and Coryneforms were the dominant genera.136 strains isolated from cage culture area mainly belonged to 11 genera,and Bacillus,Coryneforms,Pseudomonas,Acinetobacter and Vibrio were the dominant genera.Bacteria in sediment under laver culture and reference site near laver culture were mostly common ones that appeared in marine sediment,and the microbial densities in these two areas were higher than that in cage culture area and reference site near cage.Because of long-term drainage of organic matters,cage culture sediment's microbial density had reduced,its bacterial composition was similar to that in muddy sea areas,and the effect on bacterial community induced by culture has spread to its adjacent area.It is clear that there exist differences in the characters of bacterial ecological distribution in laver and cage culture areas,and bacterial quantitative distribution and community structures were closely related to self-pollution status of mariculture.