Journal of Korean Library and Information Science Society
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v.54
no.4
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pp.1-24
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2023
In a situation with reducing numbers of students and local universities in crisis, this study aims to analyze collection and loan usage data in small-sized university libraries and present evidence for guiding their collection development policy. The data was collected from Rinfo from 2010 to 2022 regarding the numbers of enrolled students, collected books, book loans, and electronic resources and compared the average values of entire 4-year university libraries to those of small-sized ones by year and region. Results show that while the numbers of enrolled students and book loans have decreased in both of groups, the number of collected books has increased 30% more in small groups and the amount of electronic resource use has increased enormously as well. Correlation analysis presents that both of groups have the consistent result. It is suggested that small-sized university libraries should highly increase their budget ratio to electronic resources for collection development and build a consortium by university's speciality for mutual use of electronic resources.
The purpose of this study is to examine COVID-19 situation in temrs of war-theory and to find out ways to overcome it. Just as the war changes the paradigm in the international situation and the national crisis management system, the current COVID-19 pandemic is bringing about the entry of the so-called "New Normal" era having the characteristics including untact culture. Although academic research on COVID-19 is mainly dealt with in terms of medical, tourism, and economics, the military research has not yet begun from the perspective of military science or war theory. In the concept of a comprehensive crisis that COVID-19 can cause enormous damage to the life and property of a country, it can be regarded as a target or enemy to be overcome. Among various war theories, the similarities with COVID-19 incident are analyzed in terms of the nature and aspect of the war and the factors of victory. Qualitative and questionnaire analysis results show that the COVID-19 outbreak is very similar to war when considering a variety of war-characteristics. In addition this research proposes ways to overcome COVID-19 based on the victorious factors of the past war, and predicts the impact of the international community after the end of COVID-19 pandemic. As a result of analyzing the priority of overcoming factors through the Analytical Hierarchy Process (AHP) shows that clear goals and establishment of alliances should be prioritized for successfully overcoming COVID-19.
Proceedings of the Korea Water Resources Association Conference
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2023.05a
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pp.31-31
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2023
During December 2022, the northeast monsoon, which dominates the south and the Gulf of Thailand, had significant rainfall that impacted the lower southern region, causing flash floods, landslides, blustery winds, and the river exceeding its bank. The Golok River, located in Narathiwat, divides the border between Thailand and Malaysia was also affected by rainfall. In flood management, instruments for measuring precipitation and water level have become important for assessing and forecasting the trend of situations and areas of risk. However, such regions are international borders, so the installed measuring telemetry system cannot measure the rainfall and water level of the entire area. This study aims to predict 72 hours of water level and evaluate the situation as information to support the government in making water management decisions, publicizing them to relevant agencies, and warning citizens during crisis events. This research is applied to machine learning (ML) for water level prediction of the Golok River, Lan Tu Bridge area, Sungai Golok Subdistrict, Su-ngai Golok District, Narathiwat Province, which is one of the major monitored rivers. The eXtreme Gradient Boosting (XGBoost) algorithm, a tree-based ensemble machine learning algorithm, was exploited to predict hourly water levels through the R programming language. Model training and testing were carried out utilizing observed hourly rainfall from the STH010 station and hourly water level data from the X.119A station between 2020 and 2022 as main prediction inputs. Furthermore, this model applies hourly spatial rainfall forecasting data from Weather Research and Forecasting and Regional Ocean Model System models (WRF-ROMs) provided by Hydro-Informatics Institute (HII) as input, allowing the model to predict the hourly water level in the Golok River. The evaluation of the predicted performances using the statistical performance metrics, delivering an R-square of 0.96 can validate the results as robust forecasting outcomes. The result shows that the predicted water level at the X.119A telemetry station (Golok River) is in a steady decline, which relates to the input data of predicted 72-hour rainfall from WRF-ROMs having decreased. In short, the relationship between input and result can be used to evaluate flood situations. Here, the data is contributed to the Operational support to the Special Water Resources Management Operation Center in Southern Thailand for flood preparedness and response to make intelligent decisions on water management during crisis occurrences, as well as to be prepared and prevent loss and harm to citizens.
Recently, not only in Korea but also around the world, we have been experiencing constant disasters such as typhoons, wildfires, and heavy rains. The property damage caused by typhoons and heavy rain in South Korea alone has exceeded 1 trillion won. These disasters have resulted in significant loss of life and property damage, and the recovery process will also take a considerable amount of time. In addition, the government's contingency funds are insufficient for the current situation. To prevent and effectively respond to these issues, it is necessary to collect and analyze accurate data in real-time. However, delays and data loss can occur depending on the environment where the sensors are located, the status of the communication network, and the receiving servers. In this paper, we propose a two-stage hybrid situation analysis and prediction algorithm that can accurately analyze even in such communication network conditions. In the first step, data on river and stream levels are collected, filtered, and refined from diverse sensors of different types and stored in a bigdata. An AI rule-based inference algorithm is applied to analyze the crisis alert levels. If the rainfall exceeds a certain threshold, but it remains below the desired level of interest, the second step of deep learning image analysis is performed to determine the final crisis alert level.
Journal of Korean Academy of Nursing Administration
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v.4
no.2
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pp.439-455
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1998
This is the descriptive investigation study intended to provide basic informations to develop concrete method of nurse arbitration which can improve the quality of nursing care on family by investigating and analyzing the perception and practice on family nursing of clinical nurse. 332 nurses working in 4 university hospitals in Seoul have been the object and the collection of data have been conducted by visiting cooperated by the department of nursing in university hospital from April 4th through April 17th 1998. The measuring instrument of the perception and the practice on family nursing which was written by the researcher was used based on the family nursing arbitration by recently amending Calgary Family Arbitration of the Model of Wright & Leahey. Cronbach's a value of this instrument was .9288 in the perception and .9168 in the practice the collected data have been analyzed by frequency percentage, averaged value. t-test, F-test(ANOVA), Duncan's Multiple Range, Pearson's Correlation Coefficient, and the results are as the follows: 1. The perception on patient's family nursing of clinical nurse showed comparatively high by 3.22 in average(maximum 3.52, minimum 2.82) on the basis of 4 point but the practice showed low by average 2.47(maximum 3.02, minimum 2.11), By providing the patients and their family with "The information about the health problem of the which is the role of giving explanation and information about the disease. the nurse presents the method of their helping patient and in case that the family lack of knowledge about the health problem and crisis of the patient which is the role of education about the method of solving the crisis and change. the nurse educates about the necessity and method of taking care of the crisis and the changes. The third question that the relation of recognizing the difficuly of family and cooperating with them in supporting the patient for mutual function is to be formed showed high in the degree of perception and practice of the necessity. 2. General characteristics of perception about patient's family nursing of the object showed no significant difference except the concerns about the family usually(F=5.472. p<.001) and general characteristics which showed significant difference in the degree of practice were educational background (F=3.177, p<.05), clinical experience (F=2.462, p<.05) and position(F=7.029. p<.001), and attention about patient's family(F=10.603, p<.001), 3. The relation between perception and practice about the nursing on patient's family showed pure correlation but the degree was very low(r=.188, p<.05). The above results showed that the clinical nurses has been high understanding about the necessity of patient's family nursing but the degree of practice has been very low due to the lack of education about the family nursing, having no ways of nurse arbitration for practical duty and lack of political administrative support. Therefore concrete and systematic family situation and arbitration method to be applied clinically are required to be developed and also the education about patient's family nursing and the development of the course for clinical practice are required and political and administrative support for clinical practice about patient's family nursing is required as well.
This paper analyzed the influence of government-owned social media's environmental characteristics on the level of users' active participation and types of message diffusion during government's crisis. The social media environment was categorized based on human interactivity and media interactivity. Users' active participation was measured based on amount of like/dislike and number of comments. User's comments were categorized through network analysis. This study found that the level of user's active participation was high on the information-provider participation type and the relationship-oriented participation type. The level of user's active participation was low on the information-provider type and the limited platform. The analysis of message diffusion type showed that a restrictive rational opinion type was found for the limited platform and diffusive or restrictive emotional opinion types were found for other types of social media environment. This study found that during MERS crisis, the government did not provide messages suitable for the social media environment, and the media environment influenced users' participation and comments. The government should provide user friendly social media environment by increasing interaction with users and should make efforts to communicate with users in crisis situation.
This study is founded on banks' profitability factors. Unlike the previous study in terms of diversification of the banks' funding structure, this research performs multiple regression analysis during the entire period and examines the comparative analysis of before and after the financial crisis. the study establishes hypotheses by using the wholesale funding ratio as a key focus variable with 8 explanatory variables and the operating profit on assets as a profitability index. The Loan-deposit rate gap, the Number of stores and the Non-performing loan ratio prove to be a significant profitability factor for all periods of time. Korean banks are also more profitable when their the Loan-deposit rate gap get bigger and the Number of stores grows. The wholesale funding ratio is analyzed to have no statistically significant effect on the profitability of banks. Rather than being influenced by macroeconomic indicators, it is indicated that the situation of individual banks and other financial environments have been affected. And banks increase profitability as banks increase their loan after the financial crisis. The empirical analysis shows that profitability factors have periodical distinctions, and in this aspect, this research has implications. The study needs to be expanded to cover the entire domestic banking sector, in consideration of the profitability of the banking industry in the future.
Central banks communicate with the market through a statement on the direction of monetary policy while implementing monetary policy. The rapid contraction of the global economy due to the recent Covid-19 pandemic could be compared to the crisis situation during the 2008 global financial crisis. In this paper, we analyzed the text data from the monetary policy statements of the Bank of Korea and Fed reflecting monetary policy directions focusing on how they were affected in the face of a global crisis. For analysis, we collected the text data of the two countries' monetary policy direction reports published from October 1999 to September 2020. We examined the semantic features using word cloud and word embedding, and analyzed the trend of the similarity between two countries' documents through a piecewise regression tree model. The visualization result shows that both the Bank of Korea and the US Fed have published the statements with refined words of clear meaning for transparent and effective communication with the market. The analysis of the dissimilarity trend of documents in both countries also shows that there exists a sense of synchronization between them as the rapid changes in the global economic environment affect monetary policy.
While most of countries today are opposing the issuance of private-led cryptocurrency, nevertheless they are actively jumping into the issuance of government-led digital currency such as CBDC. This article aims to find an answer to this dual attitude of countries. To achieve the purpose, this article finds out the characteristics of political power and economic interest that digital currency has and applies it to the international dimension of the Bretton Woods II System. Then come up to the conclusion that the answer can be found in the fact that the current dual attitude of countries is closely related to the crisis of the international monetary order. The Bretton Woods II System, which led the world economy through reckless monetary expansion based on credit currency, exposed its limitations through the 2008 global financial crisis and put countries into difficulties. In this situation, the cryptocurrency, which appeared by raising the issue of the monopoly power of the central authority in issuing currency, had no choice but to act as an opportunity to drive countries further and further into a corner. This article views CBDC as a national response to address these issues. In other words, countries maintain their monetary power by absorbing the challenge of private digital currency at the government level through CBDC, and use this as a stepping stone to reorganize the international monetary order in crisis with the intention to use it as a means to their advantage. That is what this article is trying to argue.
The purpose of this paper is to analyze the situation of bi-polarized consumption in China before and after the global financial crisis, to find the factors causing bi-polarized consumption, and to suggest some policies for Korean enterprises. The findings are as follows. First, before the global financial crisis, in China, there were bi-polarized consumption among classes, and between urban and rural areas, and bi-polarization of individual consumption. The sales of both low price goods and high price goods increased more than that of middle price goods. Second, after the global financial crisis, the trend of bi-polarized consumption in China is stronger than those of other countries. The sales of both low price goods and high price goods in China increase more than in other countries. Third, the factors causing bi-polarized consumption are bi-polarized income, black and grey incomes, "Mianz" culture, the increase of unemployment, and the changing form of family. Especially, the level of formal income is not only high, but the level of black and grey income is also very high. And "Mianz" culture means the conspicuous consumption. The degree of the conspicuous consumption of China is very high in comparison with other countries because "Mianz" culture is strong. Finally, the paper suggests strategies appropriate for bi-polarized consumption with Chinese characteristics.
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