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      • Detecting Storm Eyes of Advertisement Based on Sina Weibo

        Jinhua Xiong,Fung Wong,Shijun Lee,Xing Yuan 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4

        With the development of micro-blog advertising industry, micro-blog ads present a new perspective to people. It is observed that the communication effect would be maximized only when the ads spread on optimization path consisted of some crucial nodes. Conse-quently we define these critical nodes as storm eyes of ads. Referring to the theory of the shortest path and scale-free characteristics of complex networks, we build a model to de-tect the storm eyes of ads based on the elements closely related to micro-blog ads, com-bined with the thought of dividing and conquering-merge. A detecting algorithm is pro-posed based on the model, the time complexity of which is just O (n). The dataset of our experiment obtained from SinaWeibo API has reached the number of 1 billion. And the results show that detection time is much less than artificial statistical approach on the premise of the algorithm with high detection accuracy.

      • KCI등재

        Identification of Moment of Inertia for PMSM Using Improved Model-reference Adaptive System

        Jinhua She,Lulu Wu,Chuan-Ke Zhang,Zhen-Tao Liu,Yonghua Xiong 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1

        The moment of inertia (MOI) is one of the most important parameters of a permanent magnet synchronous motor. High-precision identification of the MOI is essential to ensure system performance. This paper explains an MOI identification method based on the frame of an improved model-reference adaptive system (IMRAS). It improved a model-reference adaptive system by incorporating a curvature model and a dynamic gain in the system. First, a curvature model is used to estimate a load torque to construct an accurate reference model. This strategy reduces the identification error caused by ignoring the load torque. Note that identification accuracy and convergence speed are closely related to a gain factor in the system. Then, the relationship between the gain factor and the convergence time of the identification error is modeled as a power function. Finally, the IMRAS uses the absolute value of the relative MOI error and the convergence time for a given gain factor as switching conditions to balance the convergence speed and identification accuracy. A comparison with a conventional fixed-gain MRAS shows the effectiveness and superiority of the developed method.

      • Effects of 7-hydroxy-3-methoxycadalene on cell cycle, apoptosis and protein translation in A549 lung cancer cells

        Jin, Hua,Kim, Hyun-Woo,Xu, Cheng-Xiong,Kwon, Jung-Taek,Hwang, Soon-Kyung,Lee, Eun-Sun,Chang, Seung-Hee,Park, Sung-Jin,Noh, Mi-Suk,Woo, Min-Ah,Yu, Kyeong-Nam,Lee, Hu-Jang,Choi, Joon-Weon,Choi, Don-Ha,C IOS Press 2007 Biofactors Vol.29 No.2

        <P>Previously we reported that cadalene extracted from Zelkova serrata inhibited lung tumorigenesis in mice. However, the precise mechanism has not yet investigated. Here, we examined the effects of cadalene on signal pathways important for apoptosis, cell cycle, and protein translation in lung cancer cells. Our results showed that cadalene suppressed the expression of Akt and its phosphor-forms through controlling PI3K and PTEN. Cadalene also induced apoptosis through facilitating pro-apoptotic protein expression. In addition, cadalene caused cell cycle arrest and decreased mTOR-mediated protein translation. Taken together, cadalene may be developed as a lung cancer therapeutic agent in the future.</P>

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        High dietary inorganic phosphate increases lung tumorigenesis and alters Akt signaling.

        Jin, Hua,Xu, Cheng-Xiong,Lim, Hwang-Tae,Park, Sung-Jin,Shin, Ji-Young,Chung, Youn-Sun,Park, Se-Chang,Chang, Seung-Hee,Youn, Hee-Jeong,Lee, Kee-Ho,Lee, Yeon-Sook,Ha, Yoon-Cheol,Chae, Chan-Hee,Beck, Geo American Lung Association 2009 American journal of respiratory and critical care Vol.179 No.1

        <P>RATIONALE: Phosphate (Pi) is an essential nutrient to living organisms. Recent surveys indicate that the intake of Pi has increased steadily. Our previous studies have indicated that elevated Pi activates the Akt signaling pathway. An increased knowledge of the response of lung cancer tissue to high dietary Pi may provide an important link between diet and lung tumorigenesis. OBJECTIVES: The current study was performed to elucidate the potential effects of high dietary Pi on lung cancer development. METHODS: Experiments were performed on 5-week-old male K-ras(LA1) lung cancer model mice and 6-week-old male urethane-induced lung cancer model mice. Mice were fed a diet containing 0.5% Pi (normal Pi) and 1.0% Pi (high Pi) for 4 weeks. At the end of the experiment, all mice were killed. Lung cancer development was evaluated by diverse methods. MEASUREMENT AND MAIN RESULTS: A diet high in Pi increased lung tumor progression and growth compared with normal diet. High dietary Pi increased the sodium-dependent inorganic phosphate transporter-2b protein levels in the lungs. High dietary consumption of Pi stimulated pulmonary Akt activity while suppressing the protein levels of tumor suppressor phosphatase and tensin homolog deleted on chromosome 10 as well as Akt binding partner carboxyl-terminal modulator protein, resulting in facilitated cap-dependent protein translation. In addition, high dietary Pi significantly stimulated cell proliferation in the lungs of K-ras(LA1) mice. CONCLUSIONS: Our results showed that high dietary Pi promoted tumorigenesis and altered Akt signaling, thus suggesting that careful regulation of dietary Pi may be critical for lung cancer prevention as well as treatment.</P>

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