• Clinical and Experimental Pediatrics
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• v.54 no.3
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• pp.111-116
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• 2011

Childhood chronic myelogenous leukemia (CML) is a rare hematologic disease, with limited literature on the methods of treatment. Previously, allogeneic hematopoietic stem cell transplantation (HSCT) was considered the only curative treatment for this disease. Treatment with imatinib, a selective inhibitor of the BCR-ABL tyrosine kinase (TKI), has resulted in prolonged molecular response with limited drug toxicity. Imatinib is now implemented in the primary treatment regimen for children, but the paucity of evidence on its ability to result in permanent cure and the potential complications that may arise from long-term treatment with TKIs have prevented imatinib from superseding HSCT as the primary means of curative treatment in children. The results of allogeneic HSCT in children with CML are similar to those observed in adults; HSCT-related complications such as transplant-related mortality and graft-versus-host disease remain significant challenges. An overall consensus has been formed with regards to the need for HSCT in patients with imatinib resistance or those with advanced-phase disease. However, issues such as when to undertake HSCT in chronic-phase CML patients or how best to treat patients who have relapsed after HSCT are still controversial. The imatinib era calls for a reevaluation of the role of HSCT in the treatment of CML. Specific guidelines for the treatment of pediatric CML have not yet been formulated, underscoring the importance of prospective studies on issues such as duration of imatinib treatment, optimal timing of HSCT and the type of conditioning utilized, possible treatment pre-and post-HSCT, and the role of second-generation TKIs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.750-753
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• 2017

Recently, the processing and utilization of big data, which is generated by the spread of smartphone, SNS, and the internet of things, is emerging as a new growth engine of ICT field. However, in order to utilize such big data, De-identification of personal information should be done. De-identification removes identifying information from a data set so that individual data cannot be linked with specific individuals. De-identification can reduce the privacy risk associated with collecting, processing, archiving, distributing or publishing information, thus it attempts to balance the contradictory goals of using and sharing personal information while protecting privacy. De-identified information has also been re-identified and has been controversial for the protection of personal information, but the number of instances where personal information such as big data is de-identified and processed is increasing. In addition, many de-identification guidelines have been introduced and a method for de-identification of personal information has been proposed. Therefore, in this study, we describe the big data de-identification process and follow-up management, and then compare and analyze de-identification methods. Finally we provide personal information protection issues and solutions.

• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.254-261
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• 2023

Purpose: With the diversification of modern society, it is difficult to predict crime types, and the limitations of the state's functions, such as human limitations and lack of budget, are increasing. Method: However, as the number of private investigation companies that do not use illegal means to solve the request increased, attempts were made to introduce a public detective system that would manage and supervise it and compensate for the gap in public power. Result: However, due to the nature of the Private Investigator system, legislation has not progressed as the National Police Agency and the Ministry of Justice are at odds with existing laws that guarantee existing jobs such as lawyers and credit research. Conclusion: Therefore, this study analyzes the bills related to the authorized detective to the National Assembly, examines major issues such as the scope of work of the authorized detective business, the selection of management and supervisory authorities, and suggests ways to improve the successful settlement of the Private Investigator system.

• Journal of English Language & Literature
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• v.58 no.1
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• pp.163-183
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• 2012

This paper is one of those attempts to explore some possibility of agreement between feminist discourse and postcolonial discourses through the approach of postcolonial feminism in the reading of the controversial novel, So Far from the Bamboo Grove and Year of Impossible Goodbyes. So Far from the Bamboo Grove, when read from the perspective of postcolonial feminism, reveals 'domestic nationalism' of imperial narratives in which the violence of imperial history in Korea is hidden behind the picture of every day lives of an ordinary Japanese family and Japanese women. Furthermore, postcolonial feminist's perspective interprets Yoko family's nostalgia for their 'home,' Nanam in Korea, as 'imperialist nostalgia' working as a mask to hide the violent history of colonization of Empire. In this way, postcolonial feminist reading of the story detects the ways the narrative of Empire appropriates women, family image and even nostalgia for childhood. At the same time, this perspective explains the readers' empathy for Yoko family's suffering and the concerning women issues caused by wartime rape and sexual violence by defining Yoko as a woman of Japanese Empire, whose life of interstice between imperial men and colonial men cannot be free from violence of rape during anti colonial wars. Year of Impossible Goodbyes as a counter discourse does not overcome the traditional binary opposition of nationalism which quietens gender and class issues. As an attempt to fill in the interstice between the two perspectives of feminism and postcolonialism. postcolonial feminist reading turns out to be a valid tool for the reading of the two novels chosen here.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.181-192
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• 2024

With the introduction of generative artificial intelligence(AI) tools such as OpenAI's Sora into the global film industry, including Hollywood, there has been a simultaneous emergence of innovations in film production as well as various crises. These changes are spreading throughout the entire film production process, including scriptwriting, casting, editing, and acting. This study analyzes the impact of AI on the film industry, particularly Hollywood, and explores how this technology might bring about changes in Korean cinema. AI technologies applied in the film industry offer benefits such as reducing production time and costs. However, they also pose threats to many filmmakers and actors who rely on the traditional production methods, leading to ethical and legal issues. In Hollywood blockbuster films, AI technology is used to create realistic visual effects, analyze scripts, and suggest optimal shooting angles. While these applications improve the qualitative level of films, they also reduce the human resources required in traditional film production processes. The impact on the Korean film industry is also noteworthy. Some Korean film production companies are leveraging AI to create films in a more creative and efficient manner. Efforts are being made to analyze audience data using AI and develop storylines that appeal to a larger audience. However, these technological changes are controversial among many Korean filmmakers who prefer traditional production methods. This study provides an in-depth discussion on whether the adoption of AI in the film industry can bring about positive innovation or inevitably lead to crises. It analyzes how AI technology is transforming traditional roles in the film industry and what new opportunities and challenges this change generates within the industry. Additionally. This study highlights the differences in technology adoption between Hollywood and Korean film industry and explores how each industry is embracing these technological changes.

• Korean journal of communication and information
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• v.42
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• pp.168-204
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• 2008

According to the spiral of silence theory, perception of opinion climates influences willingness to express one's opinion. This study examines the relationship between opinion perception and opinion expression in different regions and issues. The results show that one's opinion and the intensity of opinion affect the expression of opinion about national and regional issues in Busan and Gwangju. People who perceive their opinions as majority are more willing to express theirs about national and regional issues in Gwangju, but not in Busan. Regression analyses show that perceived public opinion does not predict the expression of opinion in both cities. People who perceive their opinions more favorable about regional issue have lower intention to express their opinions than people who perceive their opinions same as others'. In summary, one's opinion and perception bias about controversial issues are important variables influencing expression of opinion, and the influence of perceived public opinion on opinion expression varies in different regions with different distribution of public opinion. This study found 'new hardcores' who perceive their own opinion as minor but more valuable and have the intention to speak out in places more difficult to express.

• Journal of The Korean Association For Science Education
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• v.34 no.6
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• pp.523-534
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• 2014

This study aimed to develop collective intelligence (CI) based instructional models for teaching socioscientific issues on the basis of intimate collaboration with science teachers, and to investigate the participating teachers' perceptions on the effectiveness of the instructional models. Adapting the ADDIE model, we suggested three types of SSI instructional models (i.e. generative model, exploratory model, and decision-making model). Generative models emphasized the process of brainstorming ideas or possible solutions for SSI. Exploratory models focused on providing students opportunities to explore various SSI cases and diverse perspectives to understand its controversial nature and complexity. Decision-making models encouraged students to negotiate or develop a group-consensus on SSI through the dialogical process. After implementing the instructional models in the science classroom, the teachers reported that CI-based SSI instructional models contributed to encouraging students' active participation and collaboration as well as to improving the quality of their argument or discourses on SSI. They also supported the importance of developing collective consciousness on the issues in the beginning of the SSI class, providing independent time and space for reflecting on their personal values and opinions with scientific evidence, and formulating an atmosphere where they freely exchanged opinions and feedback for constructing better collective ideas.

• Informatization Policy
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• v.26 no.3
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• pp.3-35
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• 2019

In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.

• Health Policy and Management
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• v.27 no.2
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• pp.114-120
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• 2017

The hospital standardized mortality ratio (HSMR) is a widely used generic measure for assessing quality of hospital care in many countries. However, the validity of HSMR as a quality indicator is still controversial. We critically reviewed characteristics of HSMR and suggested how to use HSMR as a quality indicator in the Korean setting. The association between HSMR and other quality measures of hospital care is inconclusive. In addition current HSMR model has shortcomings in risk adjustment because of the lack of clinical data, accuracy of disease coding, coding variation among hospitals, end-of-life care issues, and so on. Therefore, HSMR should be used as an indicator for improvement, not for judgement such as public reporting and pay-for-performance. More efforts will be needed to tackle practical and methodological weaknesses of HSMR in the Korean setting.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.3
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• pp.229-243
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• 2016

This article has significance in that it examines origin and developments of Baekje costume based on the validity of the reference material that can be used to infer the look of Baekje costume. On the basis of literature documents in Korea and China the shapes of it are examined, and the reliability of contents recorded in the sources is lexically reviewed. Errors related with features of the Baekje costume is minimized by investigating controversial issues in terms of periods and some parts which cannot be identified as the shapes of it. The changing aspects of the Baekje costume by flow of time can be observed based on various records in the literatures. The origin of it can be found in records regarding the costumes of Mahan and Buyeo. Baekje inherited the separate-type of costume structure from before the period of it, and possessed superior weaving technology. In the 3th century, the Baekje costume seemed to be established, and gradually developed from 4th to 5th century. As it continued to be developed, its frame was accomplished at the late 6th century. The shapes of it appeared to be further elaborated, specified, and therefore systematized in the 7th century.