• Title/Summary/Keyword: Environmental Strategy

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Ginsenoside Rp1, a Ginsenoside Derivative, Blocks Promoter Activation of iNOS and COX-2 Genes by Suppression of an IKKβ-mediated NF-κB Pathway in HEK293 Cells

  • Shen, Ting;Lee, Jae-Hwi;Park, Myung-Hwan;Lee, Yong-Gyu;Rho, Ho-Sik;Kwak, Yi-Seong;Rhee, Man-Hee;Park, Yung-Chul;Cho, Jae-Youl
    • Journal of Ginseng Research
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    • v.35 no.2
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    • pp.200-208
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    • 2011
  • Ginsenoside (G) $Rp_1$ is a ginseng saponin derivative with anti-cancer and anti-inflammatory activities. In this study, we examined the mechanism by which G-$Rp_1$ inhibits inflammatory responses of cells. We did this using a strategy in which DNA constructs containing cyclooxygenase (COX)-2 and inducible nitric oxide synthase (iNOS) promoters were transfected into HEK293 cells. G-$Rp_1$ strongly inhibited the promoter activities of COX-2 and iNOS; it also inhibited lipopolysaccharide induced upregulation of COX-2 and iNOS mRNA levels in RAW264.7 cells. In HEK293 cells G-$Rp_1$ did not suppress TANK binding kinase 1-, Toll-interleukin-1 receptor-domain-containing adapter-inducing interferon-${\beta}$ (TRIF)-, TRIF-related adaptor molecule (TRAM)-, or activation of interferon regulatory factor (IRF)-3 and nuclear factor (NF)-${\kappa}$B by the myeloid differentiation primary response gene (MyD88)-induced. However, G-$Rp_1$ strongly suppressed NF-${\kappa}$B activation induced by I${\kappa}$B kinase (IKK)${\beta}$ in HEK293 cells. Consistent with these results, G-$Rp_1$ substantially inhibited IKK${\beta}$-induced phosphorylation of $I{\kappa}B{\alpha}$ and p65. These results suggest that G-$Rp_1$ is a novel anti-inflammatory ginsenoside analog that can be used to treat IKK${\beta}$/NF-${\kappa}$B-mediated inflammatory diseases.

Transcriptome analysis of Panax ginseng response to high light stress

  • Jung, Je Hyeong;Kim, Ho-Youn;Kim, Hyoung Seok;Jung, Sang Hoon
    • Journal of Ginseng Research
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    • v.44 no.2
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    • pp.312-320
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    • 2020
  • Background: Ginseng (Panax ginseng Meyer) is an essential source of pharmaceuticals and functional foods. Ginseng productivity has been compromised by high light (HL) stress, which is one of the major abiotic stresses during the ginseng cultivation period. The genetic improvement for HL tolerance in ginseng could be facilitated by analyzing its genetic and molecular characteristics associated with HL stress. Methods: Genome-wide analysis of gene expression was performed under HL and recovery conditions in 1-year-old Korean ginseng (P. ginseng cv. Chunpoong) using the Illumina HiSeq platform. After de novo assembly of transcripts, we performed expression profiling and identified differentially expressed genes (DEGs). Furthermore, putative functions of identified DEGs were explored using Gene Ontology terms and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis. Results: A total of 438 highly expressed DEGs in response to HL stress were identified and selected from 29,184 representative transcripts. Among the DEGs, 326 and 114 transcripts were upregulated and downregulated, respectively. Based on the functional analysis, most upregulated and a significant number of downregulated transcripts were related to stress responses and cellular metabolic processes, respectively. Conclusion: Transcriptome profiling could be a strategy to comprehensively elucidate the genetic and molecular mechanisms of HL tolerance and susceptibility. This study would provide a foundation for developing breeding and metabolic engineering strategies to improve the environmental stress tolerance of ginseng.

Analysis of Uncertainty of Rainfall Frequency Analysis Including Extreme Rainfall Events (극치강우사상을 포함한 강우빈도분석의 불확실성 분석)

  • Kim, Sang-Ug;Lee, Kil-Seong;Park, Young-Jin
    • Journal of Korea Water Resources Association
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    • v.43 no.4
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    • pp.337-351
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    • 2010
  • There is a growing dissatisfaction with use of conventional statistical methods for the prediction of extreme events. Conventional methodology for modeling extreme event consists of adopting an asymptotic model to describe stochastic variation. However asymptotically motivated models remain the centerpiece of our modeling strategy, since without such an asymptotic basis, models have no rational for extrapolation beyond the level of observed data. Also, this asymptotic models ignored or overestimate the uncertainty and finally decrease the reliability of uncertainty. Therefore this article provide the research example of the extreme rainfall event and the methodology to reduce the uncertainty. In this study, the Bayesian MCMC (Bayesian Markov Chain Monte Carlo) and the MLE (Maximum Likelihood Estimation) methods using a quadratic approximation are applied to perform the at-site rainfall frequency analysis. Especially, the GEV distribution and Gumbel distribution which frequently used distribution in the fields of rainfall frequency distribution are used and compared. Also, the results of two distribution are analyzed and compared in the aspect of uncertainty.

A study on the ways for differentiation of domestic car sharing service (국내 카셰어링(Car Sharing) 서비스의 차별화를 위한 방향 연구)

  • Kim, So-Hyeon;Lee, Dong-Min
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.181-186
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    • 2018
  • Car-sharing services are one of the successful model of sharing economies. The car-sharing service is a kind of car rental service that can pay the cost per minutes, also can makes it easy to book and return by smart phone at any time. Experts predict that the car-sharing services will likely dominate the auto market in the future by reducing the burden on consumers' purchasing cost of car and resolving the environmental issues caused by the vehicle. Therefore, a differentiated service strategy is needed to establish a competitive caching service among these companies. In this study, we surveyed differentiation cases by comparing and analyzing domestic caching companies, And customized service tailored to the situation and effective vehicle type infotainment. As a result of this study, the proposed service method change, customized service provision, and new platform application are expected to be detailed and in depth.

Interval Type-2 Fuzzy Logic Control System of Flight Longitudinal Motion (항공기 종 제어를 위한 Interval Type-2 퍼지논리 제어시스템)

  • Cho, Young-Hwan;Lee, Hong-Gi;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.2
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    • pp.168-173
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    • 2015
  • The flight control of aircraft, which has nonlinear time-varying dynamic characteristics depending on the various and unexpected external conditions, can be performed on two motions: longitudinal motion and lateral motion. In the longitudinal motion control of aircraft, pitch and trust are major control parameters and roll and yaw are control ones in the lateral motion control. Until now, a number of efficient and reliable control schemes that can guarantee the stability and maneuverability of the aircraft have been developed. Recently, the intelligent flight control scheme, which differs from the conventional control strategy requiring the various and complicate procedures such as the wind tunnel and environmental experiments, has attracted attention. In this paper, an intelligent longitudinal control scheme has been proposed utilizing Interval Type-2 fuzzy logic which can be recognized as a representative intelligent control methodology. The results will be verified through computer simulation with a F-4 jet fighter.

Strategy for Development and Management of a Long-term Heatwave Plan Addressing Climate Change (기후변화에 따른 폭염 중장기적 적응대책 수립 및 관리 방안)

  • Choi, Jihye;Ha, Jongsik
    • Journal of Environmental Policy
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    • v.14 no.3
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    • pp.21-40
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    • 2015
  • Heat waves are not new, but due to climate change, the probability of occurrence and severity of heat waves increases, which results in more adverse impacts and damages on local community. Accordingly, the need to tackle heat waves in a more comprehensive and precautionary manner increases. Our study therefore lays emphasis on 1) a long-term plan which not only includes short-term plans in response to the observed damages, but also incorporates relevant sectors to deal with potential impacts in longer term perspective; and 2) a mechanism to manage and adjust the plan in a sustainable manner. In doing so, it examines the impacts of heatwaves and existing plans to tackle them. Based on that, two key conceptual frameworks, namely policy integration and adaptive management, are applied to provide strategies for the development and management of a long-term adapting heatwave plan addressing climate change.

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A study on the information security compliance and non-compliance causes of organization employees (조직구성원의 정보보안 준수 및 미준수 원인에 대한 연구)

  • Hwang, In-Ho;Hu, Sung-Ho
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.229-242
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    • 2020
  • The purpose of this study is to present the environmental factors of positive and negative aspects that affect the information security compliance intention, and reveals the relationship of the individual's the security compliance intention. The subjects of this study are employees of organizations that apply information security policies and technologies, and effective samples were obtained through surveys. In the process of analysis, the study model was verified through structural equation modeling. The measurement variables consisted of security policy, security system, technical support, work impediment, security non-visibility, compliance intention and organizational commitment and used for analysis. The results confirmed that security compliance factors such as policy, system, technical support, and non-compliance factors, work impediment, respectively, had an impact on organizational commitment, leading to compliance intention. The verification result of the research model suggests the direction of establishing a security compliance strategy for employees to improve the level of information security compliance of the organization.

Topic Model Analysis of Research Trend on Renewable Energy (신재생에너지 동향 파악을 위한 토픽 모형 분석)

  • Shin, KyuSik;Choi, HoeRyeon;Lee, HongChul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6411-6418
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    • 2015
  • To respond the climate change and environmental pollution, the studies on renewable energy policies are increasing. The renewable energy is a new growth engine technology represented by the green industry and green technology. At present, the investments for the renewable energy supply and technology development projects of three main strategy sectors such as sunlight, wind power and hydrogen fuel cell are implemented in our country, while they are still in the early stage, accordingly reducing those uncertainty for the research direction and investment fields is the most urgent issue among others. Thus, this study applied text mining method and multinominal topic model among the big data analysis methods on our country's newspaper articles concerning the renewable energy over the last 10 years, and then analyzed the core issues and global research trend, forecasting the renewable energy fields with the growth potential. It is predicted that these results of the study based on information and communication technology will be actively applied on the renewable energy fields.

Strategies Building Knowledge_Base to Respond Effectively to Advanced Cyber Threats (고도화된 사이버 위협에 효과적으로 대응하기 위한 Knowledge_Base 구축전략)

  • Lee, Tae-Young;Park, Dong-Gue
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.8
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    • pp.357-368
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    • 2013
  • Our society has evolved into a fully connected society in a mixed reality environment enabling various knowledge sharing / management / control / creation due to the expansion of broadband ICT infrastructure, smart devices, cloud services and social media services. Therefore cyber threats have increased with the convenience. The society of the future can cause more complex and subtle problems, if you do not have an effective response to cyber threats, due to fusion of logical space and physical space, organic connection of the smart object and the universalization of fully connected society. In this paper, we propose the strategy to build knowledge-base as the basis to actively respond to new cyber threats caused by future various environmental changes and the universalization of fully connected society.

Experimental Study of Emission Characteristics for CNG Passenger Car (CNG 승용 자동차의 배출가스 특성에 관한 실험적 연구)

  • Kim, Hyun-jun;Lee, Ho-kil
    • Journal of the Korean Institute of Gas
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    • v.19 no.6
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    • pp.34-39
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    • 2015
  • Recently, most of the energy consumed in vehicle is derived from fossil fuels. For this reason, the demand for clean, renewable and affordable alternative energy is forcing the automotive industry to look beyond the conventional fossil fuels. Natural gas represents today a promising alternative to conventional fuels for vehicles propulsion, because it is characterized by a relatively low cost, better geopolitical distribution than oil, lower environmental impact, higher octane number and a higher self ignition temperature. Above all, CNG is an environmentally clean alternative to the existing spark ignition engines with the advantages of minimum change. In this study was installed bi-fuel system that a conventional 2 liters gasoline engine was modified to run on natural gas by a gas injection system. Experiments were mainly carried on the optimization of an ECU control strategy affecting the emission characteristics of CNG/Gasoline bi-fule vehicle. The test results shown that CO2 emission in bi-fuel mode was reduced 16% compared to gasoline fuel in the NEDC mode. Also the amount of CO and HC emissions in bi-fuel and gasoline modes were found to equality. But Compared to gasoline, the bi-fuel mode resulted in higher NOx emissions.