Hypoglycemic effect of Gynostemma pentaphyllum saponins by enhancing the Nrf2 signaling pathway in STZ-inducing diabetic rats

Dawei Gao,Min Zhao,Ximing Qi,Yanping Liu,Nan Li,Zhiwei Liu,Yanhong Bian 대한약학회 2016 Archives of Pharmacal Research Vol.39 No.2

Gynostemma pentaphyllum (GP) is a natural plant resources for diabetes therapy, however, there is little research on the mechanisms of GP. The present study was undertaken to characterize if G. pentaphyllum saponins (GPs) is the principal active compound of GP responsible for anti-diabetes, and to examine the relativity between blood glucose modulate and antioxidation. The GPs-treated streptozotocin diabetic rats had a more effective hypoglycemic status than those of diabetic control rats, which also ameliorate dyslipidemia. GPs has increased SOD and GSH-px activities, and the spleen and thymus indexes in diabetic rats. The insulin levels in the GPs-treated groups were significantly higher than diabetic control group. Our finding provides a new insight into the application of GPs for the treatment of oxidative stress related diseases.

Forest Image Processing Method based on Fuzzy Membership and Two-Dimensional Entropy

Xu Jie,Qi Dawei 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.1

From the perspective of the two-dimensional image processing threshold departure, combining the fuzzy theory and two-dimensional entropy algorithm, collecting and processing trees image contained calibration information point, to determine the optimum threshold value, achieve precise image information extraction point of trees. During the experiment,will be gathering information points marked red rectangle on the image of the trees, and the use of binocular vision platform for the collection, then using the membership based on fuzzy theory merge trees image smoothing, the principle of maximum degree of membership criteria for the selection of the pixel template, optimized calibration point boundary and details, combined with the two-dimensional entropy algorithm to determine the optimal threshold, realize precise point of the image information extraction. The results show that the information point for calibration, image processing method adopted fuzzy theory and two-dimensional entropy algorithm combining, extracting information points is more accurate, clear, can better reflect the characteristics of the image information points, and can achieve the wireless remote monitoring studies of trees, and promote the rapid development of information technology forestry laid a good technical and theoretical foundation.

Compressive Properties of Electron Beam Melted Ti–6Al–4V Porous Meshes with Different Struts Distributions

Zhiwei Liu,Mingjing Qi,Xiaoyu Qin,Dawei Huang,Xiaoyong Zhang,Xiaojun Yan 대한금속·재료학회 2020 METALS AND MATERIALS International Vol.26 No.7

Structural collapse caused by uneven stress distribution is one of the main failure modes of Electron Beam Melted (EBM)Ti–6Al–4V porous meshes for medical bone implantation. In this paper, two types of porous meshes with different strutsdistributions are fabricated by EBM methods and experimentally studied through uniaxial compression tests. The first type(mesh 1) with simplified struts distribution consists of horizontal, vertical and diagonal struts, which are connected by onenode. The second type (mesh 2) has relatively complicated struts distribution with four structural nodes connected by vertical,horizontal and diagonal struts, and the inclined struts with an angle of 15° to the vertical or horizontal direction. Themechanical properties of solid Ti–6Al–4V alloy are also tested as reference for model-fitting analysis and the test resultsshow that the EBM specimen can achieve comparable tensile strength (1186.5 MPa) and elastic modulus (106.4 GPa) asthat of forging specimen. For the porous meshes, the deformation behavior of the struts along the load orientation is dominatedby buckling mechanism and the deformation behavior of the struts inclined to the load orientation is governed byboth buckling and bending mechanisms. The test results indicate that mesh 1 with relatively less inclined struts can achievebetter compressive resistance than mesh 2 when taking the factor of mesh density into consideration. Such results indicate asimple yet meaningful view that struts distributions of the porous meshes should be designed and optimized based on theirstress distribution conditions.

The Application of RBF Neural Network in the Wood Defect Detection

Hongbo Mu,Mingming Zhang,Dawei Qi,Haiming Ni 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2

Wood defect is due to the physiological process, genetic factor or affected by the external environment in the growth period. These defects will reduce the utilization value of wood. However, it is very difficult to determine whether there are defects exist, and the degree of defects. Therefore, the effective detection of wood defect information is particularly important. A new wood defect detection method by using RBF neural network was proposed in this paper. The new RBF defect detection method can be divided into the following main steps: (1) Detect wood defects by using X-ray nondestructive testing technology. (2) Deal with defect images by using digital image processing technology. (3) Analyze the information of different defects, and extract the characteristic value of wood defects. (4) Then, the RBF neural network model was constructed. (5) Finally, the RBF neural network is trained with the known samples and simulated with the unknown samples. The experimental results shown that the RBF neural network method was effectively detect the two typical wood defects. This method provides an important theoretical basis to realize the wood defect automatic detection.

Wood Defects Recognition Based on Fuzzy BP Neural Network

Hongbo Mu,Mingming Zhang,Dawei Qi,Shuyue Guan,Haiming Ni 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.5

Firstly, we applied the X-ray non-destructive testing technology to detect wood defects for getting the images. After graying the images, we calculated their GLCMS(Gray Level Co-occurrence Matrixes), then we normalized GLCMS to obtain the joint probabilities of GLCMS. The feature vectors of images, which included 13 eigenvalues of images were calculated and extracted by the joint probability of GLCMS. The fuzzy BP neural network(abbreviated as FBP) was designed by combining fuzzy mathematics and BP neural network . And the FBP neural network was regarded as the membership function of feature vectors, the outputs of the network was regarded as the degree of membership to the feature vectors in each category. We use the maximum degree of membership method for the pattern recognition of feature vectors, so the automatic identification and classification for feature vectors were achieved , and then the automatic identification of wood defects was realized. By simulated study and training many times, the results shown that the average recognition success rate of the network was more than 90%, and some FBP networks had an extremely high recognition success rate to training samples and test samples.

Evolution Behavior of M23C6 Carbides Under Different Hot Deformation Conditions in Alloy 602 CA

Xiaoyu Qin,Xiaojun Yan,Dawei Huang,Xiaoyong Zhang,Mingjing Qi,Stephen Yue 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.6

Alloy 602 CA is a M23C6carbides strengthened Nickel-based superalloy. In this alloy, M23C6is different from that found inother superalloys because of its high volume fraction, wide size distribution and distinct precipitation locations. To investigateM23C6evolution behaviors during hot deformation in Alloy 602 CA, a series of tests are carried out in this study. Thetest temperature ranges from 900 to 1100 °C and strain rate ranges from 0.001 to 0.1 s−1, with a true strain of 0.7. It is foundthat hot deformation of the material decreases the distance between carbides which leads merging happening to changethe morphology of primary M23C6. Secondary carbides mainly come from the dissolution of large primary carbides andprecipitate along grain boundaries and twin boundaries which impede dynamic recrystallization (DRX) from happening. Volume fractions of M23C6decrease from 900 to 1100 °C. At 900 °C and 1100 °C, the precipitation equilibrium is reachedin the preheating period before hot deformation and deformation only change the size distribution of carbides. 1000 °C isa transition temperature where the volume fraction decreases as strain rate increases. The temperature rise initiated by adiabaticheating has a great influence on this precipitation behavior.

Laser direct patterning induced the tunable optical properties of indium tin oxide micro-hole arrays films

Liao Jing,Liu Qingyou,Hong Ruijin,Tao Chunxian,Wang Qi,Lin Hui,Han Zhaoxia,Zhang Dawei 한국물리학회 2022 Current Applied Physics Vol.36 No.-

Here we introduce a facile method to fabricate patterned indium tin oxide (ITO) thin films via selective laser ablation at ambient conditions. By scanning the ITO thin films with focused Nd: YAG pulsed laser, the ITO thin films were selective ablated and patterned without using any conventional chemical etching or photolithography steps. Then we investigated the effects of scanning rate for the structure, morphology and optical properties of patterned ITO thin film. These results indicate that the epsilon-near-zero (ENZ) wavelength of ITO thin films can be tuned from 1100 nm to 1340 nm by adjusting the period of the micro-hole array in microstructure. The nonlinear absorption response of patterned ITO films was about 2.85 time than of the as-deposited ITO thin film. Additionally, the results of the Finite-Difference Time-Domain (FDTD) simulation are in good agreement with those of the experiments.

Lipopolysaccharides Trigger Two Successive Bursts of Reactive Oxygen Species at Distinct Cellular Locations

Shang-Guan, Keke,Wang, Min,Htwe, Nang Myint Phyu Sin,Li, Ping,Li, Yaoshen,Qi, Fan,Zhang, Dawei,Cao, Min,Kim, Chanhong,Weng, Haiyong,Cen, Haiyan,Black, Ian M.,Azadi, Parastoo,Carlson, Russell W.,Stacey American Society of Plant Biologists 2018 Plant Physiology Vol.176 No.3

<P>Lipopolysaccharides induce a long-lasting burst of reactive oxygen species that is largely associated with chloroplasts.</P><P>Lipopolysaccharides (LPS) are major components of the outer membrane of gram-negative bacteria and are an important microbe-associated molecular pattern (MAMP) that triggers immune responses in plants and animals. A previous genetic screen in Arabidopsis (<I>Arabidopsis thaliana</I>) identified LIPOOLIGOSACCHARIDE-SPECIFIC REDUCED ELICITATION (LORE), a B-type lectin <I>S</I>-domain receptor kinase, as a sensor of LPS. However, the LPS-activated LORE signaling pathway and associated immune responses remain largely unknown. In this study, we found that LPS trigger biphasic production of reactive oxygen species (ROS) in Arabidopsis. The first transient ROS burst was similar to that induced by another MAMP, flagellin, whereas the second long-lasting burst was induced only by LPS. The LPS-triggered second ROS burst was found to be conserved in a variety of plant species. Microscopic observation of the generation of ROS revealed that the LPS-triggered second ROS burst was largely associated with chloroplasts, and functional chloroplasts were indispensable for this response. The lipid A moiety, the most conserved portion of LPS, appears to be responsible for the second ROS burst. Surprisingly, the LPS- and lipid A-triggered second ROS burst was only partially dependent on LORE. Together, our findings provide insight on the LPS-triggered ROS production and the associated signaling pathway.</P>