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Articles by Pei Wang
Total Records ( 5 ) for Pei Wang
  Qian Hong , Qingbin Meng , Pei Wang , Hongyuan Wang and Ruimin Liu
  Regional aquatic ecological security is an important indicator that presents the aquatic ecological state and can guide the aquatic environmental management. Here, an index system for the regional aquatic ecological security assessment was established based on the Pressure-State-Response Model and analytical hierarchy process. The system was applied in the city of Jinan in eastern China. The results indicated that the state of the aquatic ecological security is best in Changqing District which has relatively high vegetation coverage, a well-conserved ecological condition and a relatively smaller population density than other districts. Following were Lixia, Shizhong, Huaiyin, and Licheng Districts. The state of the aquatic ecological security is the poorest in Tianqiao District, mainly due to its over-exploitation of groundwater, declining landscape diversity and lower scientific and technical investment. The driving force test also demonstrated that economic development and population size are the dominant impact factors for the variation of aquatic ecological security. Environmental protection investment should be paid more attention as an important measure to improve the aquatic ecological security in Jinan. It was demonstrated that the index system can be effectively applied in an aquatic ecological security assessment to identify the primary impact factors that support decision-making on water resources management.
  Pei Wang , Jinlong Huo , Heng Xiao and Yangzhi Zeng
  The complete CDS sequence of Banna Mini-pig Inbred line (BMI) gene FAR1 was amplified using the Reverse Transcriptase-polymerase Chain Reaction (RT-PCR) based on the conserved sequence information of the cattle or other mammals and known highly homologous swine ESTs. This novel gene was then deposited into NCBI database and assigned to Accession No.: JF944893. Sequence analysis revealed that the BMI FAR1 encodes a protein of 515 amino acids that has high homology with the fatty acyl-CoA reductase 1 proteins of seven species-cattle 98%, horse 98%, mouse 98%, orangutan 97%, human 97%, monkey 97% and rat 92%. The phylogenetic tree analysis revealed BMI FAR1 has a closer genetic relationship with the bovine, human, orangutan and monkey FAR1 than with those of horse, mouse and rat. Analysis by RT-PCR showed that BMI FAR1 gene was over-expressed in muscle, lung, ovary, skin, large intestine, spleen, small intestine and nerve fiber and almost not expressed in other 10 tissues. Several microRNA target sites were predicted in the CDS of BMI FAR1 mRNA for further studying this gene in the future. The 3D structure of the FAR1 by homology modeling was similar to that of pseudomonas 3-alpha-hydroxysteroid dehydrogenase (2 dkn Chain: A). The experiment will establish a foundation for further insight into this swine gene.
  Jinlong Huo , Pei Wang , Hongjiang Wei and Yangzhi Zeng
  The complete coding sequence of Banna Mini-pig Inbred line (BMI) gene PQBP1 was amplified using the Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) based on the conserved sequence information of the cattle or other mammals and known highly homologous swine ESTs. This novel gene was then deposited into NCBI database and assigned to accession number JF750401. Sequence analysis revealed that the BMI PQBP1 encodes a protein of 265 amino acids that has high homology with the Polyglutamine Binding Protein1 (PQBP1) of five other species-human (95%), monkey (95%), cattle (95%), mouse (88%) and rat (87%). The phylogenetic tree analysis revealed BMI PQBP1 has a closer genetic relationship with the cattle PQBP1 than with those of human, monkey, mouse and rat. Analysis by RT-PCR showed that BMI PQBP1 gene was over-expressed in midbrain, ovary, spleen, lung, nerve fiber, skin and muscle, moderately expressed in diencephalon, kidney, heart, stomach, small intestine, large intestine and fat, weakly expressed in lymph node and cerebrum and almost not expressed in liver and pancreas. One microRNA target site was predicted in the CDS of BMI PQBP1 mRNA for further studying this gene in the future. These data serve as a foundation for further insight into this swine gene.
  Jinlong Huo , Pei Wang , Jing Leng , Hailong Huo , Lixian Liu , Yue Zhao , Rui Wang and Yangzhi Zeng
  The complete CDS sequence of Banna Mini-pig Inbred Line (BMI) gene STXBP6 was amplified using the Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) based on the conserved sequence information of the rat, mouse or other mammals and known highly homologous swine ESTs. This novel gene was then deposited into NCBI database and located on Chromosome 7 of pig and assigned to accession number JF750402. Sequence analysis revealed that the BMI STXBP6 encodes a protein of 210 amino acids that has high homology with the Syntaxin Binding Protein 6 (STXBP6) of four other species rat (100%), mouse (99%), cattle (99%) and human (99%). The phylogenetic tree analysis revealed BMI STXBP6 has a closer genetic relationship with the rat STXBP6 than with those of mouse, cattle and human. Analysis by RT-PCR showed that BMI STXBP6 gene was over-expressed in lung, moderately expressed in midbrain, ovary, diencephalon, spleen, nerve fiber, stomach, small intestine, large intestine, skin, muscle and fat, weakly expressed in kidney and heart and almost not expressed in lymph node, cerebrum, liver and pancreas. The experiment will establish a foundation for further insight into this swine gene.
  Pei Wang , Zheng Wang and Zhaoxia Xiao
  Fault diagnosis based on Internet of Things technology for electricity supply networks is proposed. The proposed diagnostic method monitors online changes in the three-phase zero-sequence voltage and current of fixed points on high-voltage transmission lines in real time. The proposed method also equally measures such voltage and current to evaluate the performance of the section and identify short circuits and ground malfunction. In fault diagnosis and line maintenance, the Internet of Things enables interflow and interaction among units, such as the detection terminal, signal relay, long-distance control centre and maintenance crew. The proposed detection method has a “self-learning” function; that is, it does not require multiple thresholds on transmission lines with different loads in advance. Performed online in real time, fault diagnosis based on the Internet of things for electricity supply networks is accurate and convenient.
 
 
 
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