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Exploration of Chinese-Korean Cooperative Multimedia Design Education
Jiang, Zheng-Qing,Lee, Dong-Hun The Korea Contents Association 2009 International Journal of Contents Vol.5 No.4
This paper has done a study of Chinese-Korean cooperative multimedia design education. Sino-Korean school of multimedia was set up by Shanghai University of Engineering Science (SUES) and Korea Dongseo University in October 2002. We have created "3.5+0.5 Teaching Model". In this model, Chinese and Korea professors take courses together. Firstly, paper points our the Chinese government policy background of Chinese-Foreign Cooperation in running schools and the development of Chinese-Korean cooperative multimedia design education in SUES. Secondly, by analyzing the multimedia design industry to understand the Chinese multi-media design education. Thirdly, paper made in-depth studies for "3.5+0.5 Teaching Model" so as to draw the experience of successes and problems. Through analysis of "Questionnaires for students' learning and living conditions in Dongseo University in 2009" by spss 16.0, paper made a research of mode of "A semester studying in Korea". Finally, paper points out the development direction of Chinese-Korean cooperative multimedia design.
Zheng Qing-Xiang,Jiang Xiu-Min,Wang Hai-Wei,Ge Li,Lai Yu-Ting,Jiang Xin-Yong,Chen Fan,Huang Ping-Ping 한국미생물학회 2021 The journal of microbiology Vol.59 No.9
Probiotics effectively prevent and improve metabolic diseases such as diabetes by regulating the intestinal microenvironment and gut microbiota. However, the effects of probiotics in gestational diabetes mellitus are not clear. Here, we showed that probiotic supplements significantly improved fasting blood glucose in a gestational diabetes mellitus rat model. To further understand the mechanisms of probiotics in gestational diabetes mellitus, the gut microbiota were analyzed via 16S rRNA sequencing. We found that compared with the normal pregnant group, the gestational diabetes mellitus rats had decreased diversity of gut microbiota. Moreover, probiotic supplementation restored the diversity of the gut microbiota in gestational diabetes mellitus rats, and the gut microbiota structure tended to be similar to that of normal pregnant rats. In particular, compared with gestational diabetes mellitus rats, the abundance of Firmicutes and Actinobacteria was higher after probiotic supplementation. Furthermore, activating carbohydrate metabolism and membrane transport pathways may be involved in the potential mechanisms by which probiotic supplements alleviate gestational diabetes mellitus. Overall, our results suggested that probiotic supplementation might be a novel approach to restore the gut microbiota of gestational diabetes mellitus rats and provided an experimental evidence for the use of probiotic supplements to treat gestational diabetes melitus.
Zheng, Hao,Zhang, Qing,Kim, Seung-Joo,Jiang, Xueya,Dan, Meiyu,Gao, Hong,Li, Shengbiao,Wang, Shiquan,Feng, Chuanqi American Scientific Publishers 2013 Journal of Nanoscience and Nanotechnology Vol.13 No.4
<P>KMn8O16 nanorods were prepared through a facile hydrothermal method by using KMnO4 and MnSO4 as reactants. The KMn8O16 samples synthesized at different temperatures (100-160 degrees C) were characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), and its electrochemical properties were tested by galvanostatic charge/discharge system. The effect of reaction temperature on the morphology and electrochemical properties was investigated. As electrode materials for the lithium ion battery cycled between 1.5 and 4.2 V, the KMn8O16 nanorods synthesized at 160 degrees C show the highest reversible discharge capacity (160.1 mA h/g even after 50 cycles at current density of 50 mA/g) and the best cycling stability. These results indicate that the KMn8O16 nanorods could be a promising cathode material for lithium ion batteries.</P>
LSTM Android Malicious Behavior Analysis Based on Feature Weighting
( Qing Yang ),( Xiaoliang Wang ),( Jing Zheng ),( Wenqi Ge ),( Ming Bai ),( Frank Jiang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6
With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.
Review and Analysis of China's Population Aging and the Situations of the Elderly
Jiang Xiang Qun,Yang Qing Fang,Zheng Yan Hui 한국노인복지학회 2012 International Journal of Welfare for the Aged Vol.26 No.-
The population age structure has changed obviously in the past 60 years since foundation of P.R China. China`s population aging growth trend emerged in 1970s. In recent years, population aging accelerates and has an important effect on the socio-economic development. China`s population aging in the early time is dominated by the fertility decline, and the influence of mortality decline continues to grow in the later stage. It is limited to solve the problem of population aging by improving the fertility level, because it is a real problem that the number of the elderly is large and it`s a huge increment. The issue of the elderly family`s support decline, and the inadequate economic and social security should be resolved by society development and distribution system, etc.
Zhou, Zhengkui,Jiang, Yu,Wang, Zheng,Gou, Zhiheng,Lyu, Jun,Li, Weiyu,Yu, Yanjun,Shu, Liping,Zhao, Yingjun,Ma, Yanming,Fang, Chao,Shen, Yanting,Liu, Tengfei,Li, Congcong,Li, Qing,Wu, Mian,Wang, Min,Wu, Nature Publishing Group, a division of Macmillan P 2015 Nature biotechnology Vol.33 No.4
Understanding soybean (Glycine max) domestication and improvement at a genetic level is important to inform future efforts to further improve a crop that provides the world's main source of oilseed. We detect 230 selective sweeps and 162 selected copy number variants by analysis of 302 resequenced wild, landrace and improved soybean accessions at >11× depth. A genome-wide association study using these new sequences reveals associations between 10 selected regions and 9 domestication or improvement traits, and identifies 13 previously uncharacterized loci for agronomic traits including oil content, plant height and pubescence form. Combined with previous quantitative trait loci (QTL) information, we find that, of the 230 selected regions, 96 correlate with reported oil QTLs and 21 contain fatty acid biosynthesis genes. Moreover, we observe that some traits and loci are associated with geographical regions, which shows that soybean populations are structured geographically. This study provides resources for genomics-enabled improvements in soybean breeding.