• Title/Summary/Keyword: SARF

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A Study on the Application and Proposals of Safety Culture, New Public Management and Social Amplification of Risk Framework via Ship Accidents in Korea

  • Lee, Young-Chan;Park, Young-Soo;Yun, Yong-Sup;Kim, Jong-Su
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.3
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    • pp.283-289
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    • 2015
  • This paper provides a study on the application and proposals of safety culture, new public management and social amplification of risk framework via ship accidents in Korea. This document analyzes what are the concept of safety culture, new public management as well as social amplification and risk framework and describes how 3 issues act, harmonize, interrelate through M/V Sewol accident. Korean government is needed to apply social amplification of risk framework to the in order to promote the safety culture in the maritime administration. Hence, this paper proposes safety framework in order to prevent and resolve future unexpected accident especially for maritime field.

Modeling of Public Risk Perception and Risk Communication Research: In A Social-Cognitive Direction

  • Li, Yiwei;Guo, Yu;Ito, Naoya
    • Asian Journal for Public Opinion Research
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    • v.1 no.3
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    • pp.217-231
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    • 2014
  • This study begins with a review of commonly discussed dimensions of public risk perception that may influence public opinion toward risks. Factors that have been revealed by the literature to have substantial impact on risk perception, such as demographic background, trust, and media environment, are also discussed. Meanwhile, we evaluate two well-known research models in the realm of risk analysis: 1) the psychometric paradigm, and 2) the social amplification of risk framework (SARF). Based on a literature review, this study suggests that, besides the psychological and social approach, models of risk perception and risk communication research should shift to a more comprehensive one by considering the interrelations between laypeople and the environment. This study proposes a research model from the perspective of social cognitive theory (SCT) as a potential framework for future studies: 1) in the societal environment, individuals' risk perception and information seeking behavior, which is determined by risk perception will be influenced by trust in regulators and interpersonal trust; 2) in the media environment, individuals' risk perception and information seeking behavior will be influenced by individuals' perceived information characteristics. Knowledge about risk accumulated through information seeking will change risk perception in a longitudinal process.

A Phosphate Starvation-Inducible Ribonuclease of Bacillus licheniformis

  • Nguyen, Thanh Trung;Nguyen, Minh Hung;Nguyen, Huy Thuan;Nguyen, Hoang Anh;Le, Thi Hoi;Schweder, Thomas;Jurgen, Britta
    • Journal of Microbiology and Biotechnology
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    • v.26 no.8
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    • pp.1464-1472
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    • 2016
  • The BLi03719 protein of Bacillus licheniformis DSM13 belongs to the most abundant extracellular proteins under phosphate starvation conditions. In this study, the function of this phosphate starvation inducible protein was determined. An amino-acid sequence analysis of the BLi03719-encoding gene showed a high similarity with genes encoding the barnase of Bacillus amyloliquefaciens FZB42 and binase-like RNase of Bacillus pumilus SARF-032. The comparison of the control strain and a BLi03719-deficient strain revealed a strongly reduced extracellular ribonuclease activity of the mutant. Furthermore, this knockout mutant exhibited delayed growth with yeast RNA as an alternative phosphate and carbon source. These results suggest that BLi03719 is an extracellular ribonuclease expressed in B. licheniformis under phosphate starvation conditions. Finally, a BLi03719 mutant showed an advantageous effect on the overexpression of the heterologous amyE gene under phosphate-limited growth conditions.

Roles of Malaysian Online Newspapers in the Construction of Public Opinion on Rare Earth Risks

  • Hasan, Nik Norma Nik;Dauda, Sharafa
    • Asian Journal for Public Opinion Research
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    • v.8 no.4
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    • pp.432-452
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    • 2020
  • This study explored the representation of risks from the controversial Lynas rare earth refining as a risk event by five Malaysian online mainstream and alternative newspapers using qualitative content analysis. The aim is to uncover the role of the news media in the social amplification and attenuation of risks within the literature evidence as those roles are still uncertain. Content analysis is used to explore the online newspapers' roles guided by the Social Amplification of Risk Framework (SARF). The representations typified environmental, financial, health, occupational, property, radioactive, and technological risks and established connections between four risk types (environmental, financial, radioactive, and health risks). Radioactive risk was repeatedly associated with other risks, suggesting that the volume and information flow focused on radioactive risk as a key ingredient for amplification. This connection shows that the nature of the relationship between risks is multidimensional, contradicting the unidirectional type found in previous studies. Alternative online newspapers amplified and attenuated more risks, thus, providing more diverse coverage than mainstream sources. Consequently, this study provides evidence that risk representation from rare earth refining in a digital news environment is multidimensional and intensified or weakened in a multi-layered pattern. The stakeholders are engaged in a contestation by positioning their narratives to oppose or support their interests, which are amplified or attenuated by the online newspapers as social amplification stations.

Comparing Social Media and News Articles on Climate Change: Different Viewpoints Revealed

  • Kang Nyeon Lee;Haein Lee;Jang Hyun Kim;Youngsang Kim;Seon Hong Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.11
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    • pp.2966-2986
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    • 2023
  • Climate change is a constant threat to human life, and it is important to understand the public perception of this issue. Previous studies examining climate change have been based on limited survey data. In this study, the authors used big data such as news articles and social media data, within which the authors selected specific keywords related to climate change. Using these natural language data, topic modeling was performed for discourse analysis regarding climate change based on various topics. In addition, before applying topic modeling, sentiment analysis was adjusted to discover the differences between discourses on climate change. Through this approach, discourses of positive and negative tendencies were classified. As a result, it was possible to identify the tendency of each document by extracting key words for the classified discourse. This study aims to prove that topic modeling is a useful methodology for exploring discourse on platforms with big data. Moreover, the reliability of the study was increased by performing topic modeling in consideration of objective indicators (i.e., coherence score, perplexity). Theoretically, based on the social amplification of risk framework (SARF), this study demonstrates that the diffusion of the agenda of climate change in public news media leads to personal anxiety and fear on social media.