• Journal of Digital Convergence
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• v.17 no.11
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• pp.557-567
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• 2019

This investigation was conducted to derive future recognition and future competency of career counselors using future workshops and to verify the effectiveness of improving future adaptability. For this purpose, the future workshop was conducted for 25 career counselors and the data written and the discussion contents of the future workshop were analyzed. For analysis, word frequency analysis and corresponding sample T-verification were conducted, and the main words were derived through consensus. The results, First, the keywords of future recognition showed high frequency of robot, artificial intelligence, leisure, education, convenience, and the disabled. Second, the future labor sites projected the most changes due to high technology. Third, at the career counseling site, professional career counselors and robot counselors related to the fourth industrial revolution are expected to appear. Fourth, future competencies of career counselors were derived from information processing ability, professional counseling ability, communication ability, and ethical consciousness. Finally, it was confirmed that the future adaptability of career counselors increases after participating in future workshops, and the future competencies derived from this study are expected to be used for job training of career counselors.

• Journal of Korea Port Economic Association
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• v.30 no.1
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• pp.159-173
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• 2014

This study is key competence port logistics companies analyze the priorities of evaluation factors. key competence index of NCS(National competency standard) was designed on the basis of the research model. The priorities of evaluation factors were analyzed using AHP method. The results of the analysis of 1 layer's key competence priorities are as follows: Interpersonal skills(0.217), communication skills(0.153), ability to develop problem(0.148), ability to understand the organization(0.103), and resource management skills(0.090), self-development ability and professional ethics(0.070), information skills(0.065), technical skills(0.049), numeracy skills(0.035).

• Journal of dental hygiene science
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• v.15 no.3
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• pp.265-271
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• 2015

This study has an objective not only to be helpful to the understanding about students' career and employment preparation by investigating the present conditions which are related with vocational consciousness and job values of dental hygiene department graduating students. Study subjects were 350 female graduating students in 3-year-course College, dental hygiene department at five areas of Seoul, Gyeonggi, Gangwon and Gyeongnam. Data were analyzed using IBM SPSS Statistics ver. 19.0. Regarding job values, job prospect of dental hygienist is a little developmental (55.2%) and institution hoping to work is dental clinic (43.2%), reasons for employment in major area are good wage and working environment (24.0%). And regarding opinion about job, dental hygienist job is a measure for living income (69.7%). Regarding job selection conditions, 35.0% subjects replied good human relationship. In the questionnaires regarding professional job in vocational consciousness category, results showed high percentages in that 'the occupation is a job in charge of oral health improvement'; regarding academic area, 'scaling should be done better than dentist'; regarding human relationship, 'harmony between colleagues is closely related with job efficiency'; regarding work ethics, 'development of dental hospital (clinic) and dental hygienist is correlated.' In vocational consciousness of study subjects, higher major satisfaction showed significant differences in professional job consciousness and work ethics consciousness (p<0.05) and the correlation results in vocational consciousness areas showed all statistically significant correlations (p<0.01). In case that the characteristic in one type is higher among 4 types, all other types showed high characteristics and also showed high general vocational consciousness.

• Korean Journal of Culture and Social Issue
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• v.22 no.1
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• pp.1-18
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• 2016

A conflict of interest (COI) places people in ethical dilemma when providing consultation in a field of business, medical/pharmaceutical industry, research etc. Disclosure is a commonly adopted strategy for the adverse effect of COI, but previous studies have reported inconsistent results. This investigated whether individual differences in pursuing self-interest influence differently on consultation behavior during voluntary- or no-disclosure of COI conditions. A total of 190 adults participated in an on-line experiment which consisted of two tasks. On the 1^st task, participants were divided into either a role-oriented group or a self-interest group depending on their consultation choice on the task. On the 2^nd task, participants were required to choose whether to disclose COI to his/her virtual partner and provided consultation to them. No group differences were found in frequency of choosing voluntary disclosure. For the role-oriented group, the voluntary disclosure group provided unbiased information to the virtual partners than the no disclosure group. However, no group difference between voluntary- and no-disclosure group in the self-interest group. Implications and limitations are further discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.355-360
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• 2023

Recently, with the development of digital, children are exposed to a lot of media media. Reading activity decreases, making it difficult to acquire information from books or organize and remember acquired information. Since education with augmented reality increases children's participation and immersion in learning, we proposed a reading activity application with augmented reality technology to increase children's reading interest and creativity. In addition, based on the five nurturing processes, we designed a play-oriented reading activity for the application. In addition to the application suggestions, we designed a play-centered lesson model so that it can be used in actual lessons. In order to analyze the conceptual thinking framework according to the lesson model design, we visited an actual daycare center and conducted a class attended by an expert. Experts who participated were asked to fill out a pre-produced questionnaire to review the suitability of the reading activity class model and operation, and the feasibility was examined. Our lesson model design was based on limited book content, and due to ethical concerns, large-scale experiments with children could not be conducted, so the results of the study are not representative of the whole. However, it is significant that the possibility of running a new reading activity class based on the Nuri course has been examined and proposed.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.347-373
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• 2023

As the significance of ESG (Environmental, Social, and Governance) management amplifies in driving sustainable growth, this study delves into and compares ESG trends and interrelationships from both corporate and societal viewpoints. Employing a combination of Latent Dirichlet Allocation Topic Modeling (LDA) and Semantic Network Analysis, we analyzed sustainability reports alongside corresponding social media datasets. Additionally, an in-depth examination of social media content was conducted using Joint Sentiment Topic Modeling (JST), further enriched by Semantic Network Analysis (SNA). Complementing text mining analysis with the assistance of ChatGPT, this study identified 25 different ESG topics. It highlighted differences between companies aiming to avoid risks and build trust, and the general public's diverse concerns like investment options and working conditions. Key terms like 'greenwashing,' 'serious accidents,' and 'boycotts' show that many people doubt how companies handle ESG issues. The findings from this study set the foundation for a plan that serves key ESG groups, including businesses, government agencies, customers, and investors. This study also provide to guide the creation of more trustworthy and effective ESG strategies, helping to direct the discussion on ESG effectiveness.

• The Korean Society of Law and Medicine
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• v.24 no.4
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• pp.67-101
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• 2023

The utilization of generative AI in the medical field is also being rapidly researched. Access to vast data sets reduces the time and energy spent in selecting information. However, as the effort put into content creation decreases, there is a greater likelihood of associated issues arising. For example, with generative AI, users must discern the accuracy of results themselves, as these AIs learn from data within a set period and generate outcomes. While the answers may appear plausible, their sources are often unclear, making it challenging to determine their veracity. Additionally, the possibility of presenting results from a biased or distorted perspective cannot be discounted at present on ethical grounds. Despite these concerns, the field of generative AI is continually advancing, with an increasing number of users leveraging it in various sectors, including biomedical and life sciences. This raises important legal considerations regarding who bears responsibility and to what extent for any damages caused by these high-performance AI algorithms. A general overview of issues with generative AI includes those discussed above, but another perspective arises from its fundamental nature as a large-scale language model ('LLM') AI. There is a civil law concern regarding "the memorization of training data within artificial neural networks and its subsequent reproduction". Medical data, by nature, often reflects personal characteristics of patients, potentially leading to issues such as the regeneration of personal information. The extensive application of generative AI in scenarios beyond traditional AI brings forth the possibility of legal challenges that cannot be ignored. Upon examining the technical characteristics of generative AI and focusing on legal issues, especially concerning the protection of personal information, it's evident that current laws regarding personal information protection, particularly in the context of health and medical data utilization, are inadequate. These laws provide processes for anonymizing and de-identification, specific personal information but fall short when generative AI is applied as software in medical devices. To address the functionalities of generative AI in clinical software, a reevaluation and adjustment of existing laws for the protection of personal information are imperative.

• Journal of Hospice and Palliative Care
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• v.14 no.3
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• pp.152-162
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• 2011

Purpose: This study was conducted to analyze a trend in studies of hospice care in Korea and to suggest future research directions. Methods: This study analyzed a total of 183 studies related to hospice care which were found at http://www.riss.kr. Results: Of the 183 studies, 62 (33.9%) were for thesis studies for a degree, 121 (66.1%) for academic journals. There were 159 (87.8%) quantitative studies, 18 (8.9%) qualitative studies, and 6 (3.3%) Q-Method studies. The most frequently used study design was a descriptive study. The majority of study participants were terminal cancer patients, patients' family members and health care personnel. The thesis articles were searched by using key words as follows: health, nursing, environment, children's hospice, and others. Conclusion: The number of studies of hospice care has increased, and research key words varied. Furthermore, more experimental research is needed on nursing intervention such as pain relief, alternative therapies and hospice care for children.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.235-242
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• 2018

The interest about 4th Industrial Revolution was impressively increased from newspapers, iindustry, government and academic sectors. Especially AI what could be felt by the skin of many peoples, already overpassed the ability of the human's even in creative areas. Namely, now many people start fo feel that the effect of the revolution is just infront of themselves. There were several issues in this trend, the ability of deep learning by machine, the identity of the human, the change of job environment and the concern about the social change etc. Recently many studies have been made about the 4th industrial revolution in many fields like as AI(artificial intelligence), CRISPR, big data and driverless car etc. As many positive effects and pessimistic effects are existed at the same time and many preventing actions are being suggested recently, these opinions will be compared and analyzed and better solutions will be found eventually. Several educational, political, scientific, social and ethical effects and solutions were studied and suggested in this study. Clear implication from the study is that the world we will live from now on is changing faster than ever in the social, industrial, political and educational environment. If it will reform the social systems according to those changes, a society (nation or government) will grasp the chance of its development or take-off, otherwise, it will consume the resources ineffectively and lose the competition as a whole society. But the method of that reform is not that apparent in many aspects as the revolution is progressing currently and its definition should be made whether in industrial or scientific aspect. The person or nation who will define it will have the advantage of leading the future of that business or society.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.1
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• pp.117-128
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• 2021

The skeletal muscle development of Hanwoo steer has been processed in the prenatal and postnatal periods. Bovine satellite cell located in perimysium of muscle tissues has differentially distributed in peripheral tissues. The study of postnatal development of satellite cells can help understand the genetic and functional regulation of meat characteristics. Factors affecting muscle size increase are related to the accumulation of DNA or synthesis of RNA proteins. In this study, we observed muscle development and differentiation after culturing bovine satellite cells derived from longissimus dorsi and semimembranosus regions of Hanwoo muscle tissue. In addition, RNA sequencing data were analyzed for differentially expressed genes (DEG) involved in intracellular muscle development and growth. The DEG of the two muscle tissues were compared according to 1day, 2day, 4day, and 7day. The overall gene expression level was confirmed by the heat map. Gene Ontology (GO) classification method was used to compare the expression level of gene groups affecting LD and SM development. The histology of GO was consistent with the time-cause change of LD and SM cell morphology. SM showed more active skeletal muscle development than LD. Even within the same time, SM expressed more genes than LD, thus synthesizing more muscle fibers