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Development and Application of Artificial Skin Using Tissue Engineering (조직배양공학을 이용한 인공피부의 개발 및 응용)

  • Yang, Eun-Kyung;Park, Sue-Nie;Park, Jung-Keug
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.11
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    • pp.14-17
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    • 1995
  • An in vitro construct of three dimensional artificial skin equivalent has been engineered using human cervical epithelial cells and human foreskin fibroblasts with a matrix of bovine type I collagen. Two cell lines were established from cervical uteri cancer tissues which have the HPV(human papillomavirus)18 genome. These two cell lines came from the same origin but have slight differencies in growth rate and tumorigenicity. The organotypic raft culturing of epithelial cells were accomplished at air-liquid interface. The differentiation related characteristics were examined by immunohistochemistry using monoclonal antibodies against EGFreceptor, cytokeratin 5/6/18 as proliferation markers and against filaggrin, involucrin, and cytokeratin 10/13 as differentiation marker. We have obtained the stratification and the differentiation in the artificial skin equivalent, and differentiation-related proteins were expressed more in the C3-artificial skin, and proteins of proliferation were expressed more in the C3N-artificial skin, relatively. We found that reconstituted artificial skin have the same characteristics of differentiation proteins of original tissue or cells of human body.

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GPU-based Stereo Matching Algorithm with the Strategy of Population-based Incremental Learning

  • Nie, Dong-Hu;Han, Kyu-Phil;Lee, Heng-Suk
    • Journal of Information Processing Systems
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    • v.5 no.2
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    • pp.105-116
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    • 2009
  • To solve the general problems surrounding the application of genetic algorithms in stereo matching, two measures are proposed. Firstly, the strategy of simplified population-based incremental learning (PBIL) is adopted to reduce the problems with memory consumption and search inefficiency, and a scheme for controlling the distance of neighbors for disparity smoothness is inserted to obtain a wide-area consistency of disparities. In addition, an alternative version of the proposed algorithm, without the use of a probability vector, is also presented for simpler set-ups. Secondly, programmable graphics-hardware (GPU) consists of multiple multi-processors and has a powerful parallelism which can perform operations in parallel at low cost. Therefore, in order to decrease the running time further, a model of the proposed algorithm, which can be run on programmable graphics-hardware (GPU), is presented for the first time. The algorithms are implemented on the CPU as well as on the GPU and are evaluated by experiments. The experimental results show that the proposed algorithm offers better performance than traditional BMA methods with a deliberate relaxation and its modified version in terms of both running speed and stability. The comparison of computation times for the algorithm both on the GPU and the CPU shows that the former has more speed-up than the latter, the bigger the image size is.

The Factors Influencing on the Loyalty of Self-Media (개인미디어의 충성도에 영향을 미치는 요인)

  • Nie, Yan-Ting;Kim, In-Jai
    • The Journal of Information Systems
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    • v.27 no.3
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    • pp.103-121
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    • 2018
  • Purpose As web 2.0 has taken root in the Internet environment, people began to create specific values to produce and disseminate contents on their own. In order to emphasize the personalized media attributes, the concept of self media was derived. In this paradigm shift, self media has emerged that succeeded in commercializing themselves in social media. Taking advantage of the influence of self media will have a tremendous positive impact on management activities such as marketing strategy, brand promotion, customer retention, and profit growth. This study examines the factors affecting the loyalty of self media in Korea and China because the studies in the area of selfmedia is not enough. Design/methodology/approach This study analyzed what factors influenced the loyalty of self-media in terms of Korea-China comparison. The research model was proposed on the basis of previous research papers. Content value, interactivity, ease of access, self-congruity, sympathy, and reputation were used as independent variables. Trust and satisfaction are used as mediating variables, nationality as moderator variables, and loyalty to self-media as a dependent variable. Results As a result, it was found that all independent variables directly influence the loyalty of self-media except interactivity, and interactivity indirectly influence loyalty through trust and satisfaction. There was a moderating effect of nationality between satisfaction and loyalty, but was not a moderating effect between trust and loyalty.

A Fast-Transient Repetitive Control Strategy for Programmable Harmonic Current Source

  • Lei, Wanjun;Nie, Cheng;Chen, Mingfeng;Wang, Huajia;Wang, Yue
    • Journal of Power Electronics
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    • v.17 no.1
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    • pp.172-180
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    • 2017
  • The repetitive control (RC) strategy is widely used in AC power systems because of its high performance in tracking period signal and suppressing steady-state error. However, the dynamic response of RC is determined by the fundamental period delay $T_0$ existing in the internal model. In the current study, a ($nk{\pm}i$)-order harmonic RC structure is proposed to improve dynamic performance. The proposed structure has less data memory and can improve the tracking speed by n/2 times. $T_0$ proves the effectiveness of the ($nk{\pm}i$)-order RC strategy. The simulation and experiments of ($6k{\pm}1$)-order and ($4k{\pm}1$)-order RC strategy used in the voltage source inverter is conducted in this study to control the harmonic current source, which shows the validity and advantages of the proposed structure.

A new visual tracking approach based on salp swarm algorithm for abrupt motion tracking

  • Zhang, Huanlong;Liu, JunFeng;Nie, Zhicheng;Zhang, Jie;Zhang, Jianwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.1142-1166
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    • 2020
  • Salp Swarm Algorithm (SSA) is a new nature-inspired swarm optimization algorithm that mimics the swarming behavior of salps navigating and foraging in the oceans. SSA has been proved to enable to avoid local optima and enhance convergence speed benefiting from the adaptive nonlinear mechanism and salp chains. In this paper, visual tracking is considered to be a process of locating the optimal position through the interaction between leaders and followers in successive images. A novel SSA-based tracking framework is proposed and the analysis and adjustment of parameters are discussed experimentally. Besides, the qualitative analysis and quantitative analysis are performed to demonstrate the tracking effect of our proposed approach by comparing with ten classical tracking algorithms. Extensive comparative experimental results show that our algorithm has good performance in visual tracking, especially for abrupt motion tracking.

Human Action Recognition Bases on Local Action Attributes

  • Zhang, Jing;Lin, Hong;Nie, Weizhi;Chaisorn, Lekha;Wong, Yongkang;Kankanhalli, Mohan S
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1264-1274
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    • 2015
  • Human action recognition received many interest in the computer vision community. Most of the existing methods focus on either construct robust descriptor from the temporal domain, or computational method to exploit the discriminative power of the descriptor. In this paper we explore the idea of using local action attributes to form an action descriptor, where an action is no longer characterized with the motion changes in the temporal domain but the local semantic description of the action. We propose an novel framework where introduces local action attributes to represent an action for the final human action categorization. The local action attributes are defined for each body part which are independent from the global action. The resulting attribute descriptor is used to jointly model human action to achieve robust performance. In addition, we conduct some study on the impact of using body local and global low-level feature for the aforementioned attributes. Experiments on the KTH dataset and the MV-TJU dataset show that our local action attribute based descriptor improve action recognition performance.

MicroRNA-100 Resensitizes Resistant Chondrosarcoma Cells to Cisplatin through Direct Targeting of mTOR

  • Zhu, Zhe;Wang, Cun-Ping;Zhang, Yin-Feng;Nie, Lin
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.917-923
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    • 2014
  • Chondrosarcomas are malignant cartilage-forming tumors of bone which exhibit resistance to both chemotherapy and radiation treatment. miRNAs have been well demonstrated to regulate gene expression and play essential roles in a variety of biological processes, including proliferation, differentiation, migration, cell cycling and apoptosis. In this study, we obtained evidence that miR-100 acts as a tumor suppressor in human chondrosarcomas. Interestingly, cisplatin resistant chondrosarcoma cells exhibit decreased expression of miR-100 compared with parental cells. In addition, we identified mTOR as a direct target of miR-100. Overexpression of miR-100 complementary pairs to the 3' untranslated region (UTR) of mTOR, resulted in sensitization of cisplatin resistant cells to cisplatin. Moreover, recovery of the mTOR pathway by overexpression of S6K desensitized the chondrosarcoma cells to cisplatin, suggesting the miR-100-mediated sensitization to cisplatin dependent on inhibition of mTOR. In summary, the present studies highlight miR-100 as a tumor suppressor in chondrosarcoma contributing to anti-chemoresistance. Overexpression of miR-100 might be exploited as a therapeutic strategy along with cisplatin-based combined chemotherapy for the treatment of clinical chondrosarcoma patients.

Antiviral Effect of Amphotericin B on Japanese Encephalitis Virus Replication

  • Kim, Hun;Kim, Seong-Jun;Park, Sue-Nie;Oh, Jong-Won
    • Journal of Microbiology and Biotechnology
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    • v.14 no.1
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    • pp.121-127
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    • 2004
  • Amphotericin B (AmB), an amphipathic polyene macrolide, is an antifungal drug produced by Streptomyces nodosus. Recently, AmB has been shown to exert antiviral activity against rubella virus and human immunodeficiency virus by different mechanisms. In this study, we evaluated the antiviral effect of AmB against Japanese encephalitis virus (JEV) and investigated which step of the viral life cycle was inhibited by AmB to understand the mechanism of antiviral action of AmB. AmB reduced both plaque size and number in the infected cells in a dose-dependent manner. In addition, a 200-fold reduction of infectious virus titer was observed by treatment of infected cells with $5\mug/ml$ of AmB. AmB acted at the post virus-infection step, but not during adsorption of virus to host cells. Western blot analysis revealed that the accumulated level of JEV envelope protein dramatically decreased in the infected cells by treatment with $5-10\mug/ml$ of AmB. Our results indicate that AmB inhibits the replication of JEV at the postinfection step by interfering with viral replication and/or by inhibiting the synthesis of viral proteins.

Capacity Analysis of an AF Relay Cooperative NOMA System Using MRC

  • Xie, Xianbin;Bi, Yan;Nie, Xi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4231-4245
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    • 2020
  • Non-orthogonal multiple access (NOMA) is widely studied in both academia and industry due to its high spectral efficiency over orthogonal multiple access (OMA). To effectively improve spectrum efficiency, an amplify-and-forward (AF) cooperative NOMA system is proposed as well as a novel detection scheme is proposed, in which we first perform successive interference cancellation (SIC) twice at U1 for the two signals received from two time slots to remove interference from symbol 2, then two new signals apply max ratio combining (MRC). In addition, a closed-form upper bound approximation for the ergodic capacity of our proposed system is derived. Monte-Carlo simulations and numerical analysis illustrate that our proposed system has better ergodic capacity performance than the conventional cooperative NOMA system with decode-forward (DF) relay, the conventional cooperative NOMA system with AF relay and the proposed AF cooperative NOMA system in [16]. In addition, we can see that ergodic capacity of all NOMA cooperative systems increase with the increase of transmit SNR. Finally, simulations display that power allocation coefficients have little effect on ergodic capacity of all NOMA cooperative systems. This is due to this fact that ergodic capacity of two symbols can be complementary with changing of power allocation coefficients.

A SM2 Elliptic Curve Threshold Signature Scheme without a Trusted Center

  • Jie, Yan;Yu, Lu;Li-yun, Chen;Wei, Nie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.2
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    • pp.897-913
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    • 2016
  • Threshold signature is very important in identity authentication and some other applications. In December 2010, Chinese Encryption Administration released the SM2 elliptic curve digital signature algorithm as the first standard of the digital signature algorithm in China. At present, the papers on the threshold signature scheme based on this algorithm are few. A SM2 elliptic curve threshold signature scheme without a trusted center is proposed according to the Joint-Shamir-RSS algorithm, the Joint-Shamir-ZSS algorithm, the sum or diff-SS algorithm, the Mul-SS algorithm, the Inv-SS algorithm and the PM-SS algorithm. The proposed scheme is analyzed from correctness, security and efficiency. The correctness analysis shows that the proposed scheme can realize the effective threshold signature. The security analysis shows that the proposed scheme can resist some kinds of common attacks. The efficiency analysis shows that if the same secret sharing algorithms are used to design the threshold signature schemes, the SM2 elliptic curve threshold signature scheme will be more efficient than the threshold signature scheme based on ECDSA.