• The Korean Journal of Health Service Management
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• v.8 no.3
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• pp.207-218
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• 2014

This study was to compare the recognition of future career and nurse's characteristics according to nursing school system. This study was based on cross sectional descriptive method. The data were analyzed by $x^2$-test, t-test, and ANOVA using PASW WIN 18.0 program. The data represented that students who were doing associated degrees or bachelor degrees, showed the similar level recognition of future career and nurse's characteristics. However they showed differences in recognition of the career where they could create and new things(t=2.933, p=.004) and working part time(t=2.328, p=.021). In regards to recognition of nurse's characteristics bachelor degrees students had higher professional ethics($4.59{\pm}.44$). This study proposed that these research results could be used for improving methodology of nursing education.

• Journal of Contemporary Eastern Asia
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• v.5 no.1
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• pp.1-8
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• 2006

Since its defeat in the Second World War, Japan has been fostering good ties with Western countries, especially the United States. However, some East Asian leaders emboldened by their countries' economic success have proclaimed that the future belongs to Asia and have put forward the "Asian values" argument. It is interesting to note that some elements of the "Asian values" argument resemble ultranationalist discourse that was dominant in Japan before the war. The Japanese Government had a great opportunity to reappraise its role in international politics and take stock of its economic and diplomatic relations with East Asian countries after the end of the Cold War. To meet future challenges, Japan should fully overcome anti-Western sentiment and participate in establishing a truly democratic East Asian regionalism based on the "universal values" of human rights, democracy and freedom. This may prove to be one of the biggest challenges for Japan's East Asia policy in the new century.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.129-134
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• 2008

Dividend is one of essential factors determining the value of a firm. According to the valuation theory in finance, discounted cash flow (DCF) is the most popular and widely used method for the valuation of any asset. Since dividends play a key role in the pricing of a firm value by DCF, it is natural that the accurate prediction of future dividends should be most important work in the valuation. Although the dividend forecasting is of importance in the real world for the purpose of investment and financing decision, it is not easy for us to find good theoretical models which can predict future dividends accurately except Marsh and Merton (1987) model. Thus, if we can develop a better method than Marsh and Merton in the prediction of future dividends, it can contribute significantly to the enhancement of a firm value. Therefore, the most important goal of this study is to develop a better method than Marsh and Merton model by applying artificial intelligence techniques.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.778-783
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• 2009

In this research, we propose a method to extract scallop areas in seabed images in order to construct a system that can measure automatically the number, size, and state of fishery resources, especially scallops, by analyzing seabed images. Our algorithm is based on information about the hue, characteristic pattern, and the shape of scallop shells. The effectiveness of the proposed method is illustrated through an experiment.

• ETRI Journal
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• v.41 no.1
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• pp.10-22
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• 2019

Since Leith and Upatnieks demonstrated the first optical hologram in 1964, hologram technology has attracted a great deal of interest in a wide range of optical fields owing to its potential use in future optical applications such as holographic imaging and optical data storage. Although there have been considerable efforts to develop holographic technologies using conventional optics, critical issues still hinder future development. Recently, metasurfaces composed of artificially fabricated subwavelength structures have been considered as novel holographic devices that show an unprecedented ability to control electromagnetic waves. In this review, we outline the recent progress in metasurface holography. A general introduction to several types of metasurface holography categorized based on their physics and application is provided. Then, our personal perspective on the future of this field is discussed.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.179-189
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• 2018

In the era of the Korean Wave 4.0, it is essential to investigate how social media usage influences Korean media consumption and then affects the future intention to consume K-Culture products. This study showed that the path of social media usage- Korea-related knowledge- Korean media consumption- the future intention to consume K-Culture products did not exist, and that the path of social media usage- Korea-related knowledge- the future intention to consume K-Culture products occurred. The implications and limitations were discussed.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.8 no.1
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• pp.39-44
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• 2022

The development of methods for the inert and stable radiohalogenation of targeted radiopharmaceuticals is a prerequisite for real-time diagnosis and therapy using radiohalogenated radiopharmaceuticals. Radiohalogenated carboranes demonstrate superior stability in vivo and versatile applications compared with directly labeled tyrosine analogues or synthetically modified organic compounds. Herein, we focus on the most common approaches for the radioiodination (¹²³l, ¹²⁴l, ¹²⁵l, and ¹³¹l) of carborane derivatives.

• Advances in environmental research
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• v.2 no.3
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• pp.203-227
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• 2013

Global demand for dwelling energy and implications of changing climatic conditions on buildings confront the built environment to build sustainable dwellings. This study investigates the variability of future climatic conditions on newly built detached dwellings in the UK. Series of energy modelling and simulations are performed on ten detached houses to evaluate and predict the impact of varying future climatic patterns on five building performance indicators. The study identifies and quantifies a consistent declining trend of building performance which is in consonance with current scientific knowledge of annual temperature change prediction in relations to long term climatic variation. The average percentage decrease for the annual energy consumption was predicted to be 2.80, 6.60 and 10.56 for 2020s, 2050s and 2080s time lines respectively. A similar declining trend in the case of annual natural gas consumption was 4.24, 9.98 and 16.1, and that for building emission rate and heating demand were 2.27, 5.49 and 8.72 and 7.82, 18.43 and 29.46 respectively. The study further analyse future heating and cooling demands of the three warmest months of the year and ascertain future variance in relative humidity and indoor temperature which might necessitate the use of room cooling systems to provide thermal comfort.

• Journal of Korean Elementary Science Education
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• v.36 no.3
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• pp.286-301
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• 2017

Nowadays, the public as well as science educators pays much attention to the fourth industrial revolution and wonders what will happen to the societies in the future. Thus, this study aimed at predicting the education environment which will be brought from the fourth industrial revolution, and suggesting the solutions or tasks to be investigated in science education. Through the literature review, this study categorized the major changes of future society into a wild fluctuation of job market, the shift from possession-based economy to sharing economy, post-urbanized and distributed system, and the crisis of dehumanization. According to the four major changes, this study predicted the future environment that will occur to the educational system. First, the students should the competences necessary for the future and the school curriculum will be changed in terms of width and depth. Second, sharing economy may bring about the open platform similar to MOOC (Massive Open Online Course) or TED. Third, the manifestation of artificial intelligence in education will enable the individual and paced learning, and thanks to the change, the concept of distributed cognition will be more focused in education research. Fourth, the collaborative learning and character education should be more stressed to resist the dehumanization. This study suggests relevant tasks and issues that should be tackled for the successful change in primary and secondary schools.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.181-193
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• 2022

This paper seeks to investigate major macroeconomic factors and bond yield interactions in Thai bond markets, with the goal of forecasting future bond yields. This study examines the best predictive yields for future bond yields at different maturities of 1-, 3-, 5-, 7-, and 10-years using time series data of economic indicators covering the period from 1998 to 2020. The empirical findings support the hypothesis that macroeconomic factors influence bond yield fluctuations. In terms of forecasting future bond yields, static predictions reveal that in most cases, the BVAR model offers the best predictivity of bond rates at various maturities. Furthermore, the BVAR model has the best performance in dynamic rolling-window, forecasting bond yields with various maturities for 2-, 4-, and 8-quarters. The findings of this study imply that the BVAR model forecasts future yields more accurately and consistently than other competitive models. Our research could help policymakers and investors predict bond yield changes, which could be important in macroeconomic policy development.