• Journal of Christian Education in Korea
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• v.78
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• pp.137-151
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• 2024

Purpose of Research: This study aims to gain insights into the direction of multicultural faith community education, which is a part of multicultural Christian education that contemporary Korean churches should establish, based on the holistic mission practices of missionary Elizabeth J. Shepping. Research Content and Method: The study begins with a brief overview of the life of missionary Elizabeth J. Shepping, who experienced multicultural living in various countries, highlighting the prepared professional missionary within the context of her time. The study then examines the details of her holistic mission practices as a professional missionary. The direction of multicultural faith community education in Korea is explored by understanding the background and research trends of multicultural Christian education that Korean society and the Korean church are currently facing. Practical aspects, supplementary points, and directions for the future implementation of multicultural faith community education in the Korean church are also proposed. Results and Conclusions: In conclusion, This study emphasizes multicultural faith community education as a component of the pastoral paradigm that the Korean church needs to improve. Four practical directions are proposed: first, education for holistic service; second, education for social and public practice; third, implementation of public service education linked to the local community; and fourth, activation of dedicated service departments and training of professional leaders. However, the study acknowledges a limitation in not providing specific practical programs for multicultural faith community education suitable for the Korean church context. Continuous research is necessary through various supplementary points in the future.

• Journal of the Health Care and Life Science
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• v.11 no.2
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• pp.303-309
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• 2023

This study conducted a survey using Google on 282 college students to investigate college students' awareness of COVID-19, which has been converted into a class 4 infectious disease. As a result, the average level of interest in COVID-19 information was 2.85, and the average level of interest in COVID-19 information was 2.85. 54% did not know that the level had changed, showing that interest in COVID-19 was not high. In terms of personal hygiene attitude, the average of those who are not currently wearing a mask was 3.95, but the average of those who wear a mask when necessary was 3.94, washing hands for more than 30 seconds, washing hands frequently, and coughing etiquette were observed well. Additionally, awareness of infection was observed by others. Rather, they thought of their symptoms as connected to COVID-19 and were still conscious of COVID-19 infection (average 3.85). Additionally, COVID-19 was recognized as a threatening infectious disease that could cause a resurgence and repeat a pandemic. Since the crisis stage regarding COVID-19 can change at any time in the WithCorona era, this study sought to provide basic data for successful response to future crises by investigating trends in changes in people's perceptions.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.117-127
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• 2012

Due to the recent expansion of the Web 2.0 -based services, along with the widespread of smartphones, online social network services are being popularized among users. Online social network services are the online community services which enable users to communicate each other, share information and expand human relationships. In the social network services, each relation between users is represented by a graph consisting of nodes and links. As the users of online social network services are increasing rapidly, the SNS are actively utilized in enterprise marketing, analysis of social phenomenon and so on. Social Network Analysis (SNA) is the systematic way to analyze social relationships among the members of the social network using the network theory. In general social network theory consists of nodes and arcs, and it is often depicted in a social network diagram. In a social network diagram, nodes represent individual actors within the network and arcs represent relationships between the nodes. With SNA, we can measure relationships among the people such as degree of intimacy, intensity of connection and classification of the groups. Ever since Social Networking Services (SNS) have drawn increasing attention from millions of users, numerous researches have made to analyze their user relationships and messages. There are typical representative SNA methods: degree centrality, betweenness centrality and closeness centrality. In the degree of centrality analysis, the shortest path between nodes is not considered. However, it is used as a crucial factor in betweenness centrality, closeness centrality and other SNA methods. In previous researches in SNA, the computation time was not too expensive since the size of social network was small. Unfortunately, most SNA methods require significant time to process relevant data, and it makes difficult to apply the ever increasing SNS data in social network studies. For instance, if the number of nodes in online social network is n, the maximum number of link in social network is n(n-1)/2. It means that it is too expensive to analyze the social network, for example, if the number of nodes is 10,000 the number of links is 49,995,000. Therefore, we propose a heuristic-based method for finding the shortest path among users in the SNS user graph. Through the shortest path finding method, we will show how efficient our proposed approach may be by conducting betweenness centrality analysis and closeness centrality analysis, both of which are widely used in social network studies. Moreover, we devised an enhanced method with addition of best-first-search method and preprocessing step for the reduction of computation time and rapid search of the shortest paths in a huge size of online social network. Best-first-search method finds the shortest path heuristically, which generalizes human experiences. As large number of links is shared by only a few nodes in online social networks, most nods have relatively few connections. As a result, a node with multiple connections functions as a hub node. When searching for a particular node, looking for users with numerous links instead of searching all users indiscriminately has a better chance of finding the desired node more quickly. In this paper, we employ the degree of user node vn as heuristic evaluation function in a graph G = (N, E), where N is a set of vertices, and E is a set of links between two different nodes. As the heuristic evaluation function is used, the worst case could happen when the target node is situated in the bottom of skewed tree. In order to remove such a target node, the preprocessing step is conducted. Next, we find the shortest path between two nodes in social network efficiently and then analyze the social network. For the verification of the proposed method, we crawled 160,000 people from online and then constructed social network. Then we compared with previous methods, which are best-first-search and breath-first-search, in time for searching and analyzing. The suggested method takes 240 seconds to search nodes where breath-first-search based method takes 1,781 seconds (7.4 times faster). Moreover, for social network analysis, the suggested method is 6.8 times and 1.8 times faster than betweenness centrality analysis and closeness centrality analysis, respectively. The proposed method in this paper shows the possibility to analyze a large size of social network with the better performance in time. As a result, our method would improve the efficiency of social network analysis, making it particularly useful in studying social trends or phenomena.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.21-43
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• 2008

The task network which is formed of different individuals can be recognized as a social network. Therefore, the way to communicate with people inside or outside the network has considerable influence on their outcome. Moreover, the position on which a member stands in a network shows the different effects of the information systems supporting communication with others. In this paper, it is to be studied how personal CMC (computer-mediated communication) tools affect the mission that those who work for a network perform through diverse task networks. Especially, we focused on synchronicity of CMC. On this score, the perspective of Media Synchronicity Theory was taken that had been suggested by criticizing Media Richness Theory. It is the objective, from this perspective, to find which characteristics of networks make the value of IT supporting synchronicity high. In the research trends of social networks, there have been two traditional perspectives to explain the effect of network: embeddedness and diversity ones. These differ from the aspect which type of social network can provide much more economic benefits. As similar studies have been reported by various researchers, these are also divided into the bonding and bridging views which are based on internal and external tie, respectively, Size, density, and centrality were measured as the characteristics of personal task networks. Size means the level of relationship between members. It is the total number of other colleagues who work with a specific member for a certain project. It means, the larger the size of task network, the more the number of coworkers who interact each other through the job. Density is the ratio of the number of relationships arranged actually to the total number of available ones. In an ego-centered network, it is defined as the ratio of the number of relationship made really to the total number of possible ones between members who are actually involved each other. The higher the level of density, the larger the number of projects on which the members collaborate. Centrality means that his/her position is on the exact center of whole network. There are several methods to measure it. In this research, betweenness centrality was adopted among them. It is measured by the position on which one member stands between others in a network. The determinant to raise its level is the shortest geodesic that represents the shortest distance between members. Centrality also indicates the level of role as a broker among others. To verify the hypotheses, we interviewed and surveyed a group of employees of a nationwide financial organization in which a groupware system is used. They were questioned about two CMC applications: MSN with a higher level of synchronicity and email with a lower one. As a result, the larger the size of his/her own task network, the smaller its density and the higher the level of his/her centrality, the higher the level of the effect using the task network with CMC tools. Above all, this positive effect is verified to be much more produced while using CMC applications with higher-level synchronicity. Among the a variety of situations under which the use of CMC gives more benefits, this research is considered as one of rare cases regarding the characteristics of task network as moderators by focusing ITs for the operation of his/her own task network. It is another contribution of this research to prove empirically that the values of information system depend on the social, or comparative, characteristic of time. Though the same amount of time is shared, the social characteristics of users change its value. In addition, it is significant to examine empirically that the ITs with higher-level synchronicity have the positive effect on productivity. Many businesses are worried about the negative effect of synchronous ITs, for their employees are likely to use them for personal social activities. However. this research can help to dismiss the concern against CMC tools.

• Economic and Environmental Geology
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• v.27 no.2
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• pp.147-160
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• 1994

Copper-bearing hydrothermal vein mineralization of the Samsan area was deposited in two stages (I and II) of quartz-calcite-sulfide veins which fill fissures in Cretaceous volcanic and sedimentary rocks of the Gyeongsang basin. The major ore minerals, chalcopyrite and sphalerite, together with pyrite, galena, hematite, and minor sulfosalts, occur with epidote and chlorite as gangue minerals in stage I quartz veins. Chlorite geothermometry, fluid inclusion and stable isotope data indicate that copper ore was deposited mainly at temperatures between $330^{\circ}C$ and $280^{\circ}C$ from fluids with salinities between 12 and 3 equiv. wt % NaCl. Evidence of fluid boiling indicates a range of pressures from ${\leq}100$ to 200 bars bars. Within ore stage I there was an apparent decrease in ${\delta}^{34}S$ values of $H_{2}S$ with paragenetic time, from 8.0 to 2.3 per mil. This pattern was likely achieved through progressive increases in activity of oxygen accompanying boiling and mixing. In the early part of the first stage, the high temperature, high salinity fluids gave way to progressively cooler and more dilute fluids of the late parts in the first stage and of the second stage. There is a systematic decrease in calculated ${\delta}^{18}O_{water}$ values with decreasing temperature in the Samsan hydrothermal system, from values of -86 per mil for early portion of stage I through -5.9 per mil for late portion of stage I to -6.3 per mil for stage II. The ${\delta}D$ values of fluid inclusion waters also decrease with paragenetic time from -76 per mil to -86 per mil. These trends combined with mineral paragenesis and fluid inclusion data are interpreted to indicate progressive cooler, more oxidizing meteoric water inundation of an early exchanged meteoric hydrothermal system.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.1
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• pp.47-56
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• 2018

Providing high-quality meteorological observation data at sites that represent actual farming environments is essential for useful agrometeorological services. The Automated Agricultural Observing System (AAOS) of the Korean Meteorological Administration, however, has been deployed on lawns rather than actual farm land. In this study, we show the inaccuracies that arise in AAOS data by analyzing temporal and vertical variation and by comparing them with data recorded by the National Center for AgroMeteorology (NCAM) tower that is located at an actual farming site near the AAOS tower. The analyzed data were gathered in August and October (before and after harvest time, respectively). Observed air temperature and water vapor pressure were lower at AAOS than at NCAM tower before and after harvest time. Observed reflected shortwave radiation tended to be higher at AAOS than at NCAM tower. Soil variables showed bigger differences than meteorological observation variables. In August, observed soil temperature was lower at NCAM tower than at AAOS with smaller diurnal changes due to irrigation. The soil moisture observed at NCAM tower continuously maintained its saturation state, while the one at AAOS showed a decreasing trend, following an increase after rainfall. The trend changed in October. Observed soil temperature at NCAM showed similar daily means with higher diurnal changes than at AAOS. The soil moisture observed at NCAM was continuously higher, but both AAOS and NCAM showed similar trends. The above results indicate that the data gathered at the AAOS are inaccurate, and that ground surface cover and farming activities evoke considerable differences within the respective meteorological and soil environments. We propose to shift the equipment from lawn areas to actual farming sites such as rice paddies, farms and orchards, so that the gathered data are representative of the actual agrometeorological observations.

• Korean Journal of Agricultural Science
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• v.33 no.1
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• pp.17-24
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• 2006

An experiment was conducted to investigate the effects of forced molting and egg storage time on the various egg qualities. A total of 240 ISA Brown layers (60 wk of age) were employed as the unmolted treatment (Control). Two hundred and forty ISA Brown layers, molted at the age of 55 wk, were used as a forced molting treatment (T1), and the same number and strain of layers, molted at the age of 70 wk, were also used as the another forced molting treatment (T2). A total of 120 eggs were sampled from each treatment, and divided into six sets, 20 eggs per set. These six sets were stored for 1, 3, 6, 9, 12, and 15 days at $18^{\circ}C$ temperature, respectively. Eggs from T1 were collected from laying hens at the age of 68 wk, which started molting at 60 wk of age and achieved 50% egg production at 63 wk of age. Eggs from T2 were collected from hens at 82 wk of age, which started molting at 70 wk of age and achieved 50% egg production at 78 wk of age. The eggshell strength of T1 was significantly (p<0.05) higher than the Control and T2, and the storing periods did not affect the eggshell strength at all. Neither the forced molting nor the storing periods did not exert any consistent effect on the egg weight, eggshell thickness, eggshell color and egg yolk color. The albumin heights of T1 and T2 were significantly (p<0.05) lower than the Control, and it was remarkably reduced gradually as the storage periods increased in all three treatments. The Haugh unit showed very similar trends as the albumin height, indicating that both albumin height and Haugh unit were very much related to each other. In conclusion, the forced molting improves the eggshell strength, but decreases the albumin height and Haugh unit. The storage of eggs also decreases the albumin height and Haugh unit regardless of molting.

• Radiation Oncology Journal
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• v.33 no.3
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• pp.188-197
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• 2015

Purpose: To investigate the patterns of care for patients with nasopharyngeal carcinoma (NPC) in South Korea. Materials and Methods: A multi-institutional retrospective study was performed (Korean Radiation Oncology Group [KROG] 11-06) on a total of 1,445 patients from 15 institutions. Results: Of the 1,445 patients, more than half were stages III (39.9%) and IV (35.8%). In addition to patterns of care, we also investigated trends over time with the periods 1988-1993, 1994-2002, and 2003-2011. The frequencies of magnetic resonance imaging and positron emission tomography-computed tomography were markedly increased in the third period compared to previous 2 periods. Concurrent chemoradiation (CCRT) was performed on 894 patients (61.9%), neoadjuvant chemotherapy on 468 patients (32.4%), and adjuvant chemotherapy on 366 patients (25.3%). Of stage II-IV patients, CCRT performed on 78.8% in 2003-2011 compared to 15.0% in 1988-1993. For patients treated with CCRT, cisplatin was the most commonly used agent in 81.3% of patients. Over the periods of time, commonly used radiotherapy (RT) techniques were changed from 2-dimensional RT (1988-1993, 92.5%) to 3-dimensional RT (2003-2011, 35.5%) or intensity-modulated RT (IMRT; 2003-2011, 56.5%). Median RT doses given to primary tumors, high-risk lymphatics, and low-risk lymphatics were 70.0 Gy, 58.1 Gy, and 48.0 Gy, respectively. Adoption of IMRT increased the dose per fraction and escalated total radiation dose. Conclusion: Assessment of the patterns of care for NPC patients in South Korea demonstrated that management for NPC including diagnostic imaging, treatment regimen, RT techniques and dose schedule, advanced in accordance with the international guidelines.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.233-253
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• 2014

Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.

• Journal of Korean Academy of Nursing
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• v.4 no.1
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• pp.162-178
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• 1974

The present study is purported to provide a basic information to be utilized by nurses to care and attend effectively for patients nearing the moment of death. Therefore, the primary purpose of the study has been placed upon grasping an understanding of the trends of death in general. For this purpose: 1. By utilizing the schneidman questionnaire, the trend of death has been categorized by 6 parts and analyzed. 2. A search has been conducted to find out dying patient's needs, nurse's attitudes viewed by the patient, and nurse attitudes to dying patient. The followings are itemized results of analysis: 1. Analysis by the schneidman questionnaire. (1) In general concepts of death. the first sighting of the occurrence of death was experienced upon strangers, grandfather and great grandfather. The death is openly discussed among people of all ages and sex. Ages in which the death is mostly feared were from 12 to well over 70 yews old that are evenly distributed regardless of difference in age. (2) As to the attitudes toward death the occurrence of death to most closely associated person influenced most upon the attitude of their own termination of lives. Among the reading materials, the maximum influence was effected by the Bible. In terms of religion, the thoughts of death were Influenced by religions education in case of the believers of the western religions (36%), and by their own health and physical conditions in case of the believers in the oriental religions (35%). In case of non-believer, their attitude toward death were largely determined through their own thinking meditation (45%). People aged 20 or thereunder revealed that they wished to know the day of their own death to be occurred (58%). However, the older the less thor wanted to know. (3) As to the choosing the time of death, 57% preferred senility, and 30% preferred the time in mediately following the prime period of their lives in general. In terms of religion, 85% of the believer in the oriental religion preferred senility, and 67% in the western religion, 58% in others, Therefore. the desiring of their lives to be terminated in earlier stage, not by the natural senility. sequenced as follows : Others, western religions and oriental religions. (4) Referring to the disposal of the corpse under the assumption that it had already occurred, majority desired the burial system. There has been seen a slight tendency to consider the importance of holding funeral services for the sake of survivors. Concerning the life insurance policy, it showed that the nurse had less belief in it than the patient (5) Upon the subject of life-after-death. religion wise, 72% of western religion believers preferred to have an existence of life-after-death: Among the believers of oriental regions, 35% desired this category, 30% did not mind either way. and 35% did not desire the existence of such a life-after-death. In others, 53% did not mind whether or not such a life existed. (6) In general, serious thoughts were not being attended to the commitment of suicide. 37% emphasized that such an act should be prevented. However, 30% insisted that such commitment should not be bothered, and that society possesses no right to prevented it. More male wished to commit suicide (13%) than females (9%). 2. Nurse's attitudes toward terminal patients and patient's needs. In the instance where the patient realized that their death is imminent, most of them showed desire to discuses mainly on the problems of life. When faced a situation of this nature, it is revealed that 40% of nurses could not furnish appropriate care for them.