• Journal of Oriental Neuropsychiatry
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• v.16 no.1
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• pp.193-200
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• 2005

Objective : This study was carried out to investigate the differences of mental illness between Korea and China in oriental medicine Method : Several main texts in oriental medicine and articles related with topic were collected and inquired. Result : There are some differences of mental illness between Korea and China in oriental medicine. Brain is more important than heart in psychophysiology of chinese medicine, and blood stasis is a main pathologic factor of mental illness. They use not only Ohaeng(five elements) theory, but also Yin-yang theory in oriental psychotherapy. Conclusion : It seems that materialism and western medicine had some influences on modern chinese medicine. On the other hand, There are respect for traditional theory and creativity in Korean medicine represented by Dongeuibogam(東醫寶鑑) and Sasang constitutional medicine.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.135-140
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• 2024

The main purpose of the study is to determine the key aspects of the use of electronic educational resources in the training of future specialists in higher education institutions. The importance of using electronic educational resources in the preparation of university students is proven. The relevance of the chosen topic is due to the high rise of globalization in the process of training future specialists in higher education institutions. The theoretical and methodological basis of the article is the fundamental and modern provisions of the theory, the work of scientists and specialists in the management of electronic educational resources in the field of education. Based on the results of the analysis, the main characterizing aspects of the use of electronic educational resources in the training of future specialists in higher education institutions were identified. Further research needs to analyze new, experimental electronic means in the system of student training.

• Journal of Sinology and China Studies
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• v.79
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• pp.245-275
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• 2019

The Chinese language is a topic-prominent language and the ancient form of the language is not an exception. This literature examines the theta roles and cases of the arguments by setting sentence structures regarding 'TopP', which marks the eventuality meaning of 'DO', from the Analects of Confucius. Summary of the analysis is as follows: 1. Like the contemporary Chinese, ancient Chinese has two topic types; one is a base-generated topic(so called dangling topic) and the other is a topic generated by the interior movement in the TP. 2. The sentence structure of TopP from the Analects of Confucius that marks the eventuality meaning of 'DO' can be divided into seven categories which are: T+S+V+O', 'T+ES+V+EO', 'T+ES+V+EO', 'T+S+V+EC', 'T+ES+V+C', 'T+ES+V+O+C', 'T+S+V+EO+C'. 3. The predicate(V-v) of TopP from the Analects of Confucius that marks the eventuality meaning of 'DO' has a meaning characteristics of [+ will] and [+ progressive]. 4. The subject of TopP from the Analects of Confucius that marks the eventuality meaning of 'DO' is assigned a thematic role of an , and the object is assigned a thematic role of a . 5. The complement of TopP from the Analects of Confucius that marks the eventuality meaning of 'DO' is composed of overt preposition head and its complements, which receives diverse thematic roles from the preposition. However, it does not have a direct selective relationship but an indirect relationship with the main verb of the sentence. 6. Every argument, which is the subject, object, complement, and adverb, of TopP from the Analects of Confucius that marks the eventuality meaning of 'DO' can theoretically be moved in front of the subject and be topicalized. 7. The topic phrase from the Analects of Confucius that marks the eventuality meaning of 'DO' is derived in the order of predicate(V-v), object, complement, adjunct, subject, and topic, but when interpreting it in Korean it is in inverse order, which is in the order of topic, subject, adjunct, complement, object and predicate(V-v).

• Knowledge Management Research
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• v.14 no.1
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• pp.73-94
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• 2013

Customer's purchase state consists of purchase inertia and variety-seeking. As the growing brand familiarity triggers the increase of brand attractiveness, customers purchase state will be of inertia. However the excessively growing brand familiarity ignites the decrease of brand attractiveness. Followingly the purchase state will be tend to plunge into the variety-seeking state. The main topic of this study is to validate the asymmetric formation of customer's purchase states between inertia and variety-seeking. In order to follow up the main topic, this article introduces a model to freely describe the velocity of value changes depending upon the purchase states. This model will help overcome the limitation of the past studies having been based on the symmetric value changes. Based on this approach marketer will be able to decide the timing of sales promotions. This research utilized local telecommunication carrier's database of smartphone application purchase/download records. This database was collected from two years (2009 and 2010) span, the time when the smartphones started commodifying in Korea whilst most of the past studies had used purchase data of maturity stage products. From this approach utilizing the introduction stage data in the product life cycle, the probability of brand choice depending upon the purchase state on the early-stage can be probed. Moreover, this study tries to expand the research methodology from the other areas of research by knowledge sharing. Here this study introduces the methodology of section-aggregated multinomial logit to simultaneously estimate the parameters that were included in the plural multinomial logit functions while the plural functions were inter-connected. This adoption of section-aggregated multinomial logit model procedures from the computerized statistics areas is expected to nourish the marketing research for more precise analysis and estimation of effects of marketing activities.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.67-78
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• 2019

The purpose of this study is to explore information ethics issues based on academic big data from Web of Science (WoS) and to provide implications for information ethics education in informatics subject. To this end, 318 published papers from WoS related to information ethics were text mined. Specifically, this paper analyzed the frequency of key-words(TF, DF, TF-IDF), information ethics issues using topic modeling, and frequency of appearances by year for each issue. This paper used 'tm', 'topicmodel' package of R for text mining. The main results are as follows. First, this paper confirmed that the words 'digital', 'student', 'software', and 'privacy' were the main key-words through TF-IDF. Second, the topic modeling analysis showed 8 issues such as 'Professional value', 'Cyber-bullying', 'AI and Social Impact' et al., and the proportion of 'Professional value' and 'Cyber-bullying' was relatively high. This study discussed the implications for information ethics education in Korea based on the results of this analysis.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.430-440
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• 2021

We analyzed research trends of 288 Korean academic dissertations and articles regarding platform work, using topic modeling and keyword network analysis method. Research disciplines of many studies were laws, business administration, and economics fields. Thigh frequent themes were platform labor protection measures and direct or indirect effects of the sharing economy. The main keywords were digital, value, industry, and labor in terms of infrastructure and structural change. Besides, the main topics were the protection of platform workers, the values of sharing services, digital paradigm, and platform regulations. Based on the results of the analysis, we derived four implications and suggestions such as researching structural frames in macroscopic contexts, generalizing case analysis, and technology supplementation by applying average and quantitative analysis methods, researching individual competency development to realize the essential symbiotic value of sustainability, and developing customized vocational education and training programs.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.279-290
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• 2022

As the growth of the live streaming service market is accelerating due to COVID-19, the number of downloads and reviews of live streaming mobile applications is also rapidly skyrocketing. This study is to research game streaming applications using Twitch reviews as database. A total of 8 topics are extracted through LDA topic modeling and 7 out of them are detected to be inconvenience factors. Then, to pinpoint the main inconvenience factors, co-occurrence analysis is used in order to find out main factors. Finally, based on previous studies, several solutions are provided, which can solve the inconvenience factors(advertisement, UI design, technology problems) as well as strengthening digital competitiveness. This study will serve as an opportunity to improve digital competitiveness not only for Twitch but also for other game live streaming service companies in the future.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.1
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• pp.91-99
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• 2022

The shipping industry is a service industry that operates its business by transporting cargo on ships and receiving freight. Therefore, large-scale capital investment is required for ship operation, and if the value of the ship is uncertain, the risk of shipping management increases. This study aims to identify the factors affecting changes in ship value and to analyze the importance of each variable. To achieve the goal, the factors affecting changes in ship value were identified and structured using the techniques of text mining and topic modeling, and classified into three main factors and 12 sub-factors. This study used AHP analysis to examine the relative importance of each factor. Results indicated that the main factor influencing the change in the vessel value was the shipping factor, followed by the investment factor and the environment factor. Other auxiliary factors that substantially affect the ship value include the volatility of the shipping market and of shipping freight.

• Journal of the Korean Society of Food Culture
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• v.37 no.5
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• pp.385-409
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• 2022

This study investigated the trend of research on 'Food science and Nutrition' in previously published papers in the Journal of Korean Society of Food Culture (JKSFC) from 2000 to 2021. Total number of published papers in this category in the JKSFC was 693 which we classified into 7 main categories and 40 subcategories. Of these, 256 articles were on 'experimental cooking' which was the most studied field among 7 main categories. There was a total of 19 published papers under the category of 'microbiology and fermentation'. A total of 133 articles were published on 'functional foods' and provided essential data for discovering new materials under the theme of various physiological active functions of food materials. Furthermore, 107 articles were included in 'food processing and storage', which provided integrated knowledge of economy, stability and practicality based on various technologies. A total of 144 articles was included in the category of 'nutrition'. Under the category of 'nutrition', the most actively studied topic was 'eating behaviors and dietary habits,' and the trending topic was 'use of healthcare big data.' In conclusion, this review would provide trends of various categories of food science and nutrition area for recent 21 years and suggest directions for future research.

• Journal of Korean Academy of Nursing
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• v.53 no.1
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• pp.55-68
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• 2023

Purpose: The purpose of this study was to identify the main keywords, network properties, and main topics of news articles related to artificial intelligence technology in the field of nursing. Methods: After collecting artificial intelligence-and nursing-related news articles published between January 1, 1991, and July 24, 2022, keywords were extracted via preprocessing. A total of 3,267 articles were searched, and 2,996 were used for the final analysis. Text network analysis and topic modeling were performed using NetMiner 4.4. Results: As a result of analyzing the frequency of appearance, the keywords used most frequently were education, medical robot, telecom, dementia, and the older adults living alone. Keyword network analysis revealed the following results: a density of 0.002, an average degree of 8.79, and an average distance of 2.43; the central keywords identified were 'education,' 'medical robot,' and 'fourth industry.' Five topics were derived from news articles related to artificial intelligence and nursing: 'Artificial intelligence nursing research and development in the health and medical field,' 'Education using artificial intelligence for children and youth care,' 'Nursing robot for older adults care,' 'Community care policy and artificial intelligence,' and 'Smart care technology in an aging society.' Conclusion: The use of artificial intelligence may be helpful among the local community, older adult, children, and adolescents. In particular, health management using artificial intelligence is indispensable now that we are facing a super-aging society. In the future, studies on nursing intervention and development of nursing programs using artificial intelligence should be conducted.