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Articles by JIANG Ping
Total Records ( 5 ) for JIANG Ping
  Jiang Ping
  In order to ensure the foundation pit construction safety, displacement monitoring was carried on the foundation pit soil. At the same time, according to the measured displacement, the displacement parameters inversion algorithm was taken to calculate the foundation pit soil mechanical parameters, then calculate the stability of foundation pit soil. According to the basic calculation method of genetic algorithm optimizing neural network, in this paper, use uniform design method to design the samples of the foundation pit soil displacement and mechanical parameters. The finite element analysis was used to calculate soil displacement with different parameters. The GA-BP neural network was trained to describe the sophisticated nonlinear relationship between displacement and mechanical parameters of the foundation pit soil. Finally, the actual displacement was input into the trained GA-BP neural network to obtain the soil mechanical parameters. As an example, the soil cohesion, friction angle, elastic modulus and Poisson ratio of Changchun West Railway Station foundation pit were back-analysis by the above method. The calculation displacement obtained by finite element analysis with inversion results and compared with measured data. The comparison result shows that GA-BP neural network has high precision in excavation soil parameters inversion which can meet the needs of engineering.
  Jiang Ping
  Slope displacement is the external performance of slope stability, predicting slope displacement according to the original displacement monitoring data and predicting slope stability, which can effectively prevent the occurrence of landslide disaster. Slope displacement can be regard as the sum of trend item and random item, grey system G (1, 1) model can simulate the trend of the slope displacement time series and the wavelet neural network can predict the random variations of slope displacement. Based on the grey-wavelet neural network algorithm, prediction analysis of displacement was carried, the displacement prediction of Changchun west railway station foundation pit verify the accuracy and practicability of this method.
  JIANG Ping , ZHOU Dong-ming and MA Yuan-ye
  Previous studies have confirmed that both honeybee and Drosophila are capable of learning and memory. This study aimed to investigate whether the house fly (Aldrichina grahami), with strong instincts to adapt their living environment, have the learning ability to associate odor stimulus to avoid electric shock in free flying state using a device developed by the authors. The result showed the learning ability of Aldrichina grahami at the electric shock voltages of 5 V, 25 V and 45 V AC. When 60 V was used, the flies were frequently injured. Our results indicate that Aldrichina grahami is a good model to study the neural mechanism of learning and memory. The paradigm in this study has some advantages that can be used in future studies of free insects.
  Yu guo-yu , ZHANG Yong , JIANG Ping , Lee Wen-Hui and Zhang Yun
  Bm-TFF2, an amphibian trefoil factor, which is isolated from skin secretions of frog Bombina maxima, has much stronger biological activities than human TFFs. In the present study, Bm-TFF2 gene was amplified by polymerase chain reaction (PCR) from its cDNA and cloned into Pichia pastoris expression vector pPIC9K containing AOX1 promoter and α-factor leader sequence. Multi-copies insertion transformants were screened on G418 plates. After the induction by 1% methanol for 72 hours, the expression of Bm-TFF2 came up to the best quantity which was about 50 mg in 1L medium, and 80% saturation ammonium sulfate was suitable to collect the Bm-TFF2 protein, as identified by SDS-PAGE and Western blotting assay. The results showed that the plasmid of Bm-TFF2-pPIC9K was constructed successfully and expressed abundantly in eukaryotic expression system, which lies basis for researching further the biological activities and the relationship of structure and functions of Bm-TFF2.
  Yu Guo-Yu , XIANG Yang , ZHANG Hong-Yun , JIANG Ping , Lee Wen-Hui , ZHANG Yun and ZHANG Yong
  Bm-TFF2, a trefoil factor from the large-webbed bell toad (Bombina maxima), can stimulate cell migration and inhibit cell apoptosis. To study the structure-function relationship of Bm-TFF2, we constructed wild-type and mutated Bm-TFF2 plasmids and expressed recombinant proteins in E. coli. The wild-type Bm-TFF2 gene encoding mature peptide was obtained by RT-PCR, while the N-terminal, C-terminal and two arginine mutated Bm-TFF2 clones were constructed, and ligated into pET-32a(+) expression vectors. The fusion proteins were induced by IPTG at 37°C. The mutant Bm-TFF2 fusion proteins expressed mainly in the inclusion bodies. The mutant (TRX)/Bm-TFF2 could be purified by using Ni2+-chelating chromatography and reverse-phase HPLC from the inclusion body supernatant. The fusion proteins were analyzed by SDS-PAGE and Western blotting. The yield of mutant Bm-TFF2 fusion proteins of above 95% purity was about 20 mg/L. All three recombinant mutant proteins can promote the migration of AGS cells in a dose-dependent manner with no obvious activity difference.
 
 
 
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