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Guangzhou, China

Wang Z.,South China University of Technology | Wu B.,Guangdong Academy of science
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings

The process of steel produced consumes a lot of energy. At the same time, it wastes plenty of energy because it lets combustible gas. Through the research of steel enterprise energy management optimizes the process of steel produced in order to save the energy. Through the optical fiber to connect the data collection station and control center, to achieve information integration and centralized monitoring. This system not only supports data queried, real time trend analysis, historic trend analysis, reporting and so on. By means of least squares method forecast the energy consume of working procedure. It helps the company to arrange production. This system had been used in Guangzhou Iron and Steel Co., Ltd and get benefit from it. At the same time, it can be used in another steel company. © 2011 IEEE. Source

Li Y.,CAS Institute of Microbiology | Li Y.,Soochow University of China | Bao L.,CAS Institute of Microbiology | Song B.,Guangdong Academy of science | And 4 more authors.
Food Chemistry

The fruiting bodies or mycelia of mushrooms have been used as food and food-flavoring material for centuries due to their nutritional and medicinal value and the diversity of their bioactive components. The present research is the first to investigate the bioactive secondary metabolites from the solid culture of the edible mushroom Neolentinus lepideus. Two new secondary metabolites, 5-methoxyisobenzofuran- 4,7(1H,3H)-dione (1) and 1,3-dihydroisobenzofuran-4,6-diol (2), as well as seven known compounds including one benzoquinone derivative (3) and six cinnamic acid derivatives (4-9) were obtained. Their structures were established by means of spectroscopic methods, including 1D and 2D NMR. The bioactivity on the nitric oxide production in lipopolysaccharide-induced macrophages was evaluated for all metabolites (1-9) isolated. Compound 1 showed strong NO inhibitory activity with the IC50 value of 6.2 μM. Compound 2 displayed moderate NO inhibitory activity with the IC50 value of 88.8 μM. In the DPPH scavenging assay, compound 2 displayed antioxidant activity with IC50 of 68.6 μM. The discovery of new NO production inhibitors from N. lepideus expands its usage as a functional food. © 2013 Elsevier Ltd. Source

Xu Z.,Guangdong Academy of science
Nan fang yi ke da xue xue bao = Journal of Southern Medical University

To evaluate the effects of different CO(2) pneumoperitoneum conditions on renal function in rats and provide experimental evidence for improving renal graft function after transplantation. SD rats were randomized into 10 groups (n=12) and subject to CO(2) pneumoperitoneum at different pressures (0.67, 1.33 and 2.0 kPa) for 60 or 120 min. Serum urea nitrogen (BUN), creatinine (Cr) and N-acetyl-β-D-glocosaminidase (NAG) levels were detected after pneumoperitoneum. As the pressure and time of pneumoperitoneum increased, the renal function deteriorated gradually, showing significant differences between the groups (P<0.05). Increased pressure and prolonged duration of CO(2) pneumoperitoneum causes impairment of the renal function, suggesting the necessity of reducing the operative time and lowering the pressure of pneumoperitoneum when harvesting renal graft in living donors. Source

Zhang X.-P.,South China University of Technology | Liu G.-X.,South China University of Technology | Zhou S.-B.,Guangdong Academy of science
Guangxue Jingmi Gongcheng/Optics and Precision Engineering

In consideration of the direct influence of Received Signal Strength Indicator(RSSI) fluctuation on the target localization accuracy in wireless sensor networks (WSN), the basic principle of target localization using Least Square Support Vector Regression(LSSVR) is discussed. Then, the characteristics of LSSVR modeling are analyzed for given and variable detection sensors, respectively. Furthermore, a method for Target Localization based on Adaptive LSSVR Modeling (TL-AML) in WSN is proposed. By considering localization accuracy and real-time performance comprehensively, LSSVR models are built for locating target at initial time, and at follow-up time it is used to decide whether new models need to be built or not according to the inclusion relation between detection nodes and sensor nodes. The performance of TL-AML is verified based on CC2430 WSN experiment platform. Results show that the Root Mean Square Error (RMSE) of target localization based on TL-AML has reduced by 34%~37% and 60%~65% as compared with those of MLE and LSE, respectively. When modeling parameters are taken in reasonable value ranges, the localization accuracy of TL-AML is improved evidently compared with MLE and LSE. Moreover, the consuming time of TL-AML is 0.2~0.4 s, If LSSVR modeling is needed. Otherwise, the consuming time is only about 0.04 s. The results indicate that TL-AML method can weaken the influence of RSSI fluctuation on the accuracy of target localization and has good real-time target localization accuracy. Source

Luo Z.,CAS Institute of Zoology | Luo Z.,University of Chinese Academy of Sciences | Tang S.,CAS Institute of Zoology | Li C.,CAS Institute of Zoology | And 5 more authors.

Background: Explaining species richness patterns is a central issue in biogeography and macroecology. Several hypotheses have been proposed to explain the mechanisms driving biodiversity patterns, but the causes of species richness gradients remain unclear. In this study, we aimed to explain the impacts of energy, environmental stability, and habitat heterogeneity factors on variation of vertebrate species richness (VSR), based on the VSR pattern in China, so as to test the energy hypothesis, the environmental stability hypothesis, and the habitat heterogeneity hypothesis. Methodology/Principal Findings: A dataset was compiled containing the distributions of 2,665 vertebrate species and eleven ecogeographic predictive variables in China. We grouped these variables into categories of energy, environmental stability, and habitat heterogeneity and transformed the data into 100×100 km quadrat systems. To test the three hypotheses, AIC-based model selection was carried out between VSR and the variables in each group and correlation analyses were conducted. There was a decreasing VSR gradient from the southeast to the northwest of China. Our results showed that energy explained 67.6% of the VSR variation, with the annual mean temperature as the main factor, which was followed by annual precipitation and NDVI. Environmental stability factors explained 69.1% of the VSR variation and both temperature annual range and precipitation seasonality had important contributions. By contrast, habitat heterogeneity variables explained only 26.3% of the VSR variation. Significantly positive correlations were detected among VSR, annual mean temperature, annual precipitation, and NDVI, whereas the relationship of VSR and temperature annual range was strongly negative. In addition, other variables showed moderate or ambiguous relations to VSR. Conclusions/Significance: The energy hypothesis and the environmental stability hypothesis were supported, whereas little support was found for the habitat heterogeneity hypothesis. © 2012 Luo et al. Source

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