The Synthesis of Cellulose-graft-poly (L-lactide) by Ring-opening Polymerization and the Study of Its Degradability

Dai, Lin,Xiao, Shu,Shen, Yue,Qinshu, Baichuan,He, Jing Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.12

Cellulose-graft-poly (L-lactide) (cellulose-g-PLLA) was successfully prepared via ring-opening polymerization (ROP) by using 4-dimethylaminopyridine (DMAP) as an organic catalyst in an ionic liquid 1-allyl-3-methylimidazolium chloride (AmimCl). The structure and morphology of the polymer was characterized by nuclear magnetic resonance (NMR) and transmission electron microscope (TEM). From wide-angle X-ray powder diffraction (WAXD) and degradation test (by acid, alkaline, PBS and enzyme solution), changes in the crystalline structure as a result of degradation was also investigated. The results indicated that materials which have low degree of crystallinity showing higher degradability, however, in acid liquor, enzyme solution, alkaline liquor and PBS system, the degradation rate of the polymer decreased by the above sequence. Moreover, with the further increase of graft degree of this material, its degradation degree decreased.

Protective Effects of Scutellaria barbata Against Rat Liver Tumorigenesis

Dai, Zhi-Jun,Wu, Wen-Ying,Kang, Hua-Feng,Ma, Xiao-Bin,Zhang, Shu-Qun,Min, Wei-Li,Lu, Wang-Feng,Lin, Shuai,Wang, Xi-Jing Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.1

Scutellaria barbata D. Don (S. barbata), a traditional Chinese medicine, is used to treat cancers, inflammation, and urinary diseases. This study aimed to determine any protective effects of S. barbata crude extract (CE-SB) against rat liver tumorigenesis induced by diethylnitrosamine (DENA). Liver malfunction indices in serum were measured by biochemical examination. Hematoxylin and eosin staining was performed to examine liver pathology. Contents of malondialdehyde (MDA) and superoxide dismutase (SOD) were measured in liver homogenates to evaluate oxidative stress. The levels of liver malfunction indices in the CE-SB groups, especially in the CE-SB high dose group, were lower than that of the model group (P<0.05). The results from histological examination indicated that the number of liver nodules in the CE-SB groups decreased compared with the model group (P<0.05). Content of MDA determined in liver was significantly decreased, and level of SOD elevated by CE-SB. CE-SB can inhibit experimental liver tumorigenesis and relieve hepatic injury in rats.

Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm

Dai-Zheng Huang,Ren-Xi Gong,Shu Gong 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.1

It is very important to make accurate forecast of wind power because of its indispensable requirement for power system stable operation. The research is to predict wind power by chaos and BP artificial neural networks (CBPANNs) method based on genetic algorithm, and to evaluate feasibility of the method of predicting wind power. A description of the method is performed. Firstly, a calculation of the largest Lyapunov exponent of the time series of wind power and a judgment of whether wind power has chaotic behavior are made. Secondly, phase space of the time series is reconstructed. Finally, the prediction model is constructed based on the best embedding dimension and best delay time to approximate the uncertain function by which the wind power is forecasted. And then an optimization of the weights and thresholds of the model is conducted by genetic algorithm (GA). And a simulation of the method and an evaluation of its effectiveness are performed. The results show that the proposed method has more accuracy than that of BP artificial neural networks (BP-ANNs).

The Visible Human Projects in Korea and China with improved images and diverse applications.

Dai, Jing-Xing,Chung, Min Suk,Qu, Rong-Mei,Yuan, Lin,Liu, Shu-Wei,Shin, Dong Sun Springer International 2012 Surgical and radiologic anatomy Vol.34 No.6

<P>The Visible Human Projects, which were launched in the United States, have also been developed in Korea and China during the past decade. This article includes the new trials to promote a variety of their applications.</P>

Comparing eight types of ginsenosides in ginseng of different plant ages and regions using RRLC-Q-TOF MS/MS

Dai, Yu-Lin,Qiao, Meng-Dan,Yu, Peng,Zheng, Fei,Yue, Hao,Liu, Shu-Ying The Korean Society of Ginseng 2020 Journal of Ginseng Research Vol.44 No.2

Background: This article aims to compare and analyze the contents of ginsenosides in ginseng of different plant ages from different localities in China. Methods: In this study, 77 fresh ginseng samples aged 2-4 years were collected from 13 different cultivation regions in China. The content of eight ginsenosides (Rg₃, Rc, Rg₁, Rf, Rb₂, Rb₁, Re, and Rd) was determined using rapid resolution liquid chromatography coupled with quadrupole-time-of-flight tandem mass spectrometry (RRLC-Q-TOF MS/MS) to comparatively evaluate the influences of cultivation region and age. Results: Ginsenoside contents differed significantly depending on age and cultivation region. The contents of ginsenosides Re, Rc, Rg₁, Rg₃, and Rf increased with cultivation age, whereas that of ginsenoside Rb₁ peaked in the third year of cultivation. Moreover, the highest ginsenoside content was obtained from Changbai (19.36 mg/g) whereas the lowest content was obtained from Jidong (12.05 mg/g). Ginseng from Jilin Province contained greater total ginsenosides and was richer in ginsenoside Re than ginseng of the same age group in Heilongjiang and Liaoning provinces, where Rb₁ and Rg₁ contents were relatively high. Conclusion: In this study, RRLC-Q-TOF MS/MS was used to analyze ginsenoside contents in 77 ginseng samples aged 2-4 years from different cultivation regions. These patterns of variation in ginsenoside content, which depend on harvesting location and age, could be useful for interested parties to choose ginseng products according to their needs.

Adaptive Active Contour Model: a Localized Mutual Information Approach for Medical Image Segmentation

( Shuanglu Dai ),( Shu Zhan ),( Ning Song ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.5

Troubles are often met when traditional active contours extract boundaries of medical images with inhomogeneous bias and various noises. Focusing on such a circumstance, a localized mutual information active contour model is discussed in the paper. By defining neighborhood of each point on the level set, mutual information is introduced to describe the relationship between the zero level set and image field. A driving energy term is then generated by integrating all the information. In addition, an expanding energy and internal energy are designed to regularize the driving energy. Contrary to piecewise constant model, new model has a better command of driving the contours without initialization.

Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm

Huang, Dai-Zheng,Gong, Ren-Xi,Gong, Shu The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.1

It is very important to make accurate forecast of wind power because of its indispensable requirement for power system stable operation. The research is to predict wind power by chaos and BP artificial neural networks (CBPANNs) method based on genetic algorithm, and to evaluate feasibility of the method of predicting wind power. A description of the method is performed. Firstly, a calculation of the largest Lyapunov exponent of the time series of wind power and a judgment of whether wind power has chaotic behavior are made. Secondly, phase space of the time series is reconstructed. Finally, the prediction model is constructed based on the best embedding dimension and best delay time to approximate the uncertain function by which the wind power is forecasted. And then an optimization of the weights and thresholds of the model is conducted by genetic algorithm (GA). And a simulation of the method and an evaluation of its effectiveness are performed. The results show that the proposed method has more accuracy than that of BP artificial neural networks (BP-ANNs).

The Synthesis of Cellulose-graft-poly (L-lactide) by Ring-opening Polymerization and the Study of Its Degradability

Lin Dai,Shu Xiao,Yue Shen,Baichuan Qinshu,Jing He 대한화학회 2012 Bulletin of the Korean Chemical Society Vol.33 No.12

Cellulose-graft-poly (L-lactide) (cellulose-g-PLLA) was successfully prepared via ring-opening polymerization (ROP) by using 4-dimethylaminopyridine (DMAP) as an organic catalyst in an ionic liquid 1-allyl-3-methylimidazolium chloride (AmimCl). The structure and morphology of the polymer was characterized by nuclear magnetic resonance (NMR) and transmission electron microscope (TEM). From wide-angle X-ray powder diffraction (WAXD) and degradation test (by acid, alkaline, PBS and enzyme solution), changes in the crystalline structure as a result of degradation was also investigated. The results indicated that materials which have low degree of crystallinity showing higher degradability, however, in acid liquor, enzyme solution, alkaline liquor and PBS system, the degradation rate of the polymer decreased by the above sequence. Moreover, with the further increase of graft degree of this material, its degradation degree decreased.

A CTR Prediction Approach for Text Advertising Based on the SAE-LR Deep Neural Network

Zilong Jiang,Shu Gao,Wei Dai 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.5

For the autoencoder (AE) implemented as a construction component, this paper uses the method of greedylayer-by-layer pre-training without supervision to construct the stacked autoencoder (SAE) to extract theabstract features of the original input data, which is regarded as the input of the logistic regression (LR)model, after which the click-through rate (CTR) of the user to the advertisement under the contextualenvironment can be obtained. These experiments show that, compared with the usual logistic regressionmodel and support vector regression model used in the field of predicting the advertising CTR in theindustry, the SAE-LR model has a relatively large promotion in the AUC value. Based on the improvement ofaccuracy of advertising CTR prediction, the enterprises can accurately understand and have cognition for theneeds of their customers, which promotes the multi-path development with high efficiency and low costunder the condition of internet finance.

Effects of different diets on the growth and development of young silkworms

Wang Yuanfei,Shu Qilong,Gu Haoyi,Feng Piao,Dai Minli,Zhu Qingyu,Liu Wei,Dai Yan,Li Fanchi,Li Bing 한국응용곤충학회 2023 Journal of Asia-Pacific Entomology Vol.26 No.4

To investigate the impact of different diets on the growth and development of the silkworm Bombyx mori (L.; Lepidoptera: Bombycidae), we conducted an analysis of differentially expressed genes (DEGs) between larvae fed an artificial diet (referred to as the AD group) and those fed mulberry leaves (referred to as the ML group) during the first, second, and third instars using RNA sequencing (RNA-Seq) technology. Our results revealed that the DEGs primarily belonged to pathways associated with lipid metabolism, carbohydrate metabolism, amino acid metabolism, the endocrine system, the nervous system, the digestive system, the immune system, and oxida tion–reduction processes. Notably, in the AD group, there was a decrease in transcript levels of genes related to amino acid metabolism synthases, while the transcript levels of antimicrobial peptide genes were up-regulated. Furthermore, genes associated with cytochrome P450 (CYP) enzymes exhibited down-regulation in the AD group. These observed changes likely contributed to the delayed growth and compromised robustness observed in the AD group. Overall, these findings provided valuable insights into the mechanisms underlying the differ ences in growth, development, disease resistance, and adversity resistance between silkworms fed an artificial diet and those fed mulberry leaves.