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Inhibition of SMP30 Gene Expression Influences the Biological Characteristics of Human Hep G2 Cells

  • Zhang, Sheng-Chang;Liang, Ming-Kang;Huang, Guang-Lin;Jiang, Kui;Zhou, Su-Fang;Zhao, Shuang
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.3
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    • pp.1193-1196
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    • 2014
  • Senescence marker protein 30 (SMP30), a hepatocellular carcinoma (HCe) associated antigen had been identified by our research group. To study its mechanisms of regulation and associations with the occurrence and development of HCe, we inhibited expression by RNAi technique, and observed effects on the biological characteristics of Hep G2 cells. In cell viability assays, cell growth in the experimental group (with siRNA transfection) was elevated. In Transwell invasion assays, compared with blank and control groups, numbers of invading cells in the experimental group were significantly increased, whereas in apoptosis assays, the percentage apoptosis demonstrated no differences, but after UV irradiation, that in the experimental group was higher than the other two groups. In a word, SMP30 can inhibit the proliferation and invasion of human hepatoma cells and thus can be regarded as a cancer suppressive factor.

The Effects of Personality Traits on Subjective Well-being and Behavioral Intention Associated with Serious Leisure Experiences

  • HAN, Jang Heon
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.5
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    • pp.167-176
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    • 2020
  • The study examined how the personality traits, manifested during serious leisure experience, i.e., experiences that involve the acquisition of special knowledge or techniques and the participation required to achieve the expertise necessary to express them. This study also investigated how such subjective well-being affected behavioral intention, specifically, the intention to use the same leisure facilities again and to spread this information to acquaintances by positive word of mouth. A survey was administered to 727 research subjects selected from pre-registered panels enrolled by an online research organization. The main constructs examined in this study were measured on 5-point Likert scales using multiple items. A structural equation model was employed to verify the proposed conceptual model and the relationships among variables. The results revealed that, of the personality traits, participants high in extraversion, openness to experience, and agreeableness felt high levels of life satisfaction and positive affect, i.e. a sense of subjective well-being. Second, users who felt a high level of subjective well-being, specifically, high life satisfaction and positive affect, also indicated a high level of behavioral intention. Finally, the academic and practical implications and limitations of the study, as well as future research plans involving the personality traits underlying serious leisure experiences are discussed.

A Focus Account for Contrastive Reduplication: Prototypicality and Contrastivity

  • Lee, Bin-Na;Lee, Chung-Min
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.259-267
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    • 2007
  • This paper sets forth the phenomenon of Contrastive Reduplication (CR) in English relevant to the notion of contrastive focus (CF). CF differs from other reduplicative patterns in that rather than the general intensive function, denotation of a more prototypical and default meaning of a lexical item appears from the reduplicated form resulting as a semantic contrast with the meaning of the non-reduplicated word. Thus, CR is in concordance with CF under the concept of contrastivity. However, much of the previous works on CF associated contrastivity with a manufacture of a set of alternatives taking a semantic approach. We claim that a recent discourse-pragmatic account takes advantage of explaining the vague contrast in informativeness of CR. Zimmermann's (2006) Contrastive Focus Hypothesis characterizes contrastivity in the sense of speaker's assumptions about the hearer's expectation of the focused element. This approach makes possible adaptation to CR and recovers the possible subsets of meaning of a reduplicated form in a more refined way showing contrastivity in informativeness. Additionally, CR in other languages along with similar set-limiting phenomenon in various languages will be introduced in general.

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Qualitative Elicitation of Multidimensional Korean Sensory Descriptors and Their Definitions Using Focus Group Interview (Focus Group Interview (FGI)를 통한 다차원적 감각 특성 용어 및 정의의 질적 도출)

  • Hong, Jae-Hee
    • Journal of the Korean Society of Food Culture
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    • v.31 no.1
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    • pp.96-104
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    • 2016
  • Recently, food industries are increasingly interested in launching ethnic foods in the global market, but communicating sensory information to target consumers has been complicated due to the ambiguity and complexity of Korean sensory descriptors. This study was conducted to elicit various multidimensional sensory descriptors and their definitions using focus group interviews (FGI). Two consumer groups, consisting of 10 panelists in their 20s and 10 panelists in their 30-40s respectively, participated in the FGI. A total of 14 commonly used multidimensional sensory descriptors, including gamchilmat (감칠맛), gaeun (개운), goso (고소), gusu (구수), kkal-kkeum (깔끔), neu-kki (느끼), dambaek (담백), birin (비린), siwon (시원), sikeum (시큼), ssapssarae (쌉싸래), eolkeun (얼큰), jjapjoreum (짭조름), and kalkal (칼칼), were elicited. Their definitions showed that these descriptors not only were constructed using several sensory elements but also contained hedonic connotations. Descriptors such as gaeun, siwon, and kkal-kkeum were more closely associated with overall sensory impressions, including aftersensations and post-ingestive effects rather than sensory concepts. As individuals tend to weigh different elements to construct the concept for each multidimensional descriptor, further studies are required to identify elements consisting of these descriptors to develop better test methods and gain a clearer understanding of the sensory profiles of Korean foods.

A Study on Antecedents of WOM in the Context of Internet E-Commerce (인터넷 전자상거래 환경에서의 구전효과의 선행 요인에 관한 연구)

  • Jo, Hyeon;Lee, Jungmin
    • Journal of Information Technology Services
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    • v.12 no.2
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    • pp.231-242
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    • 2013
  • E-commerce market has been increasing rapidly, which reflects the convenience and economic benefits associated with its usage. Unlike the traditional markets, WOM (Word-of-Mouth) becomes more important because e-commerce consumers can't experience the real product in the purchase decision-making process. In this regard, identifying the influencing factors to WOM of internet e-commerce site is very important. In this paper, we aim to examine the effects of perceived and individual variables on WOM in the context of internet e-commerce site. In order to analyze the antecedents, we selected perceived and individual factors such as regret tendency scale, prior knowledge and merchandise attractiveness. In addition, we examined the role of gender as dummy and moderating variable. For empirical analysis, we surveyed real users of internet e-commerce site. As a result, all antecedents showed significant influence on WOM except regret tendency scale. Among the variables, the merchandise attractiveness has top standardized coefficient. Gender plays a role as moderating variable when only interacting with regret tendency scale. The results of this research can be useful guidelines for internet e-commerce providers.

A New Noise Reduction Method Based on Linear Prediction

  • Kawamura, Arata;Fujii, Kensaku;Itho, Yoshio;Fukui, Yutaka
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.260-263
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    • 2000
  • A technique that uses linear prediction to achieve noise reduction in a voice signal which has been mixed with an ambient noise (Signal to Noise (S-N) ratio = about 0dB) is proposed. This noise reduction method which is based on the linear prediction estimates the voice spectrum while ignoring the spectrum of the noise. The performance of the noise reduction method is first examined using the transversal linear predictor filter. However, with this method there is deterioration in the tone quality of the predicted voice due to the low level of the S-N ratio. An additional processing circuit is then proposed so as to adjust the noise reduction circuit with an aim of improving the problem of tone deterioration. Next, we consider a practical application where the effects of round on errors arising from fixed-point computation has to be minimized. This minimization is achieved by using the lattice predictor filter which in comparison to the transversal type, is Down to be less sensitive to the round-off error associated with finite word length operations. Finally, we consider a practical application where noise reduction is necessary. In this noise reduction method, both the voice spectrum and the actual noise spectrum are estimated. Noise reduction is achieved by using the linear predictor filter which includes the control of the predictor filter coefficient’s update.

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Contents Analysis and Synthesis Scheme for Music Album Cover Art

  • Moon, Dae-Jin;Rho, Seung-Min;Hwang, Een-Jun
    • Journal of IKEEE
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    • v.14 no.4
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    • pp.305-311
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    • 2010
  • Most recent web search engines perform effective keyword-based multimedia contents retrieval by investigating keywords associated with multimedia contents on the Web and comparing them with query keywords. On the other hand, most music and compilation albums provide professional artwork as cover art that will be displayed when the music is played. If the cover art is not available, then the music player just displays some dummy or random images, but this has been a source of dissatisfaction. In this paper, in order to automatically create cover art that is matched with music contents, we propose a music album cover art creation scheme based on music contents analysis and result synthesis. We first (i) analyze music contents and their lyrics and extract representative keywords, (ii) expand the keywords using WordNet and generate various queries, (iii) retrieve related images from the Web using those queries, and finally (iv) synthesize them according to the user preference for album cover art. To show the effectiveness of our scheme, we developed a prototype system and reported some results.

Vocal Tract Length Normalization for Speech Recognition (음성인식을 위한 성도 길이 정규화)

  • 지상문
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.7
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    • pp.1380-1386
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    • 2003
  • Speech recognition performance is degraded by the variation in vocal tract length among speakers. In this paper, we have used a vocal tract length normalization method wherein the frequency axis of the short-time spectrum associated with a speaker's speech is scaled to minimize the effects of speaker's vocal tract length on the speech recognition performance In order to normalize vocal tract length, we tried several frequency warping functions such as linear and piece-wise linear function. Variable interval piece-wise linear warping function is proposed to effectively model the variation of frequency axis scale due to the large variation of vocal tract length. Experimental results on TIDIGITS connected digits showed the dramatic reduction of word error rates from 2.15% to 0.53% by the proposed vocal tract normalization.

PASC Processor Architecture for Enhanced Loop Execution (루프를 효과적으로 처리하는 PASC 프로세서 구조)

  • Ji, Seung-Hyeon;Park, No-Gwang;Jeon, Jung-Nam;Kim, Seok-Il
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.5
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    • pp.1225-1240
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    • 1999
  • This paper proposes PASC(PArtitioned SCHeduler) processor architecture that equips with a number of functional unit and an individual scheduler paris. Every scheduler of the PASC processor can determine whether a unit instruction can be issued to the associated functional unit or it is to be waited until next cycle caused by a resource collision or data dependencies. In the PASC processor, only the functional unit with a resource collision or data dependencies waits by executing a NOP(No OPeration) instruction and the other functional units execute their own instructions. Therefore we can expect the code compaction effect on the PASC processor. Thus, the last instruction of a loop at certain iteration and the very first instruction of the loop at the next iteration can be scheduled simultaneously if the two instructions do not incur any resource collision or data dependencies. Therefore, we can expect that such two instructions without any resource collision and data dependencies are packed into the same very long instruction word and thus, the two instructions are executed concurrently at run time. As a result, we can shorten execution cycles of a loop comparing to the execution of the loop on a traditional VLIW or SVLIW processor architecture. Simulation result also promises faster execution of loops on a PASC processor architecture than those on a VLIW and SVLIW processor architecture.

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A Study on Traffic Light Detection (TLD) as an Advanced Driver Assistance System (ADAS) for Elderly Drivers

  • Roslan, Zhafri Hariz;Cho, Myeon-gyun
    • International Journal of Contents
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    • v.14 no.2
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    • pp.24-29
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    • 2018
  • In this paper, we propose an efficient traffic light detection (TLD) method as an advanced driver assistance system (ADAS) for elderly drivers. Since an increase in traffic accidents is associated with the aging population and an increase in elderly drivers causes a serious social problem, the provision of ADAS for older drivers via TLD is becoming a necessary(Ed: verify word choice: necessary?) public service. Therefore, we propose an economical TLD method that can be implemented with a simple black box (built in camera) and a smartphone in the near future. The system utilizes a color pre-processing method to differentiate between the stop and go signals. A mathematical morphology algorithm is used to further enhance the traffic light detection and a circular Hough transform is utilized to detect the traffic light correctly. From the simulation results of the computer vision and image processing based on a proposed algorithm on Matlab, we found that the proposed TLD method can detect the stop and go signals from the traffic lights not only in daytime, but also at night. In the future, it will be possible to reduce the traffic accident rate by recognizing the traffic signal and informing the elderly of how to drive by voice.