• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.47-64
• /
• 2021

The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.

• Korean Journal of Environmental Agriculture
• /
• v.40 no.4
• /
• pp.279-289
• /
• 2021

BACKGROUND: Recently, the golden apple snail, Pomacea canaliculata has been used as an environmentally-friendly weed-control agent in rice farming. Although effective for this particular style of farming, P. canaliculata can be destructive to other crops. The objective of this study was to identify overwintering as well as regional and seasonal distribution characteristics of P. canaliculata. Notably, winter is typically fatal for P. canaliculata. However, owing to increasing average global temperatures, we assessed the ability of P. canaliculata to survive through uncharacteristically warm winters. METHODS AND RESULTS: To examine the distribution and overwintering regions of P. canaliculata, We conducted a survey from April 2020 to May 2021 on environmentally-friendly rice fields, agricultural waterways, and streams in 23 cities belonging to 8 provinces. In addition, because air temperature may influence the distribution density of P. canaliculata, we analyzed the winter temperature data (http://weather.rda.go.kr). CONCLUSION(S): In 2021, overwintering of P. canaliculata (1-3 individuals/m²) was observed in the Goheung and Yeongam regions in Jeonnam. Overwintering of P. canaliculata was observed in fewer regions in 2021 than in 2020; this fact may be attributed to the lower minimum temperatures measured in 2021 (approximately 8℃ lower) than those in 2020. Our results suggest that overwintering occurs as long as overnight temperatures are ≥ -15℃, but can take place if temperatures are as low as -19℃.

• Membrane Journal
• /
• v.32 no.4
• /
• pp.235-252
• /
• 2022

Forward osmotic pressure-free reverse osmosis (Δ𝜋=0 RO) was invented in 2013. The first patent (US 9,950,297 B2) was registered on April 18, 2018. The "Osmotic Pressure of Concentrated Solutions" in JACS (1908) by G.N. Lewis of MIT was used for the estimation. The Chang's RO system differs from conventional RO (C-RO) in that two-chamber system of osmotic pressure equalizer and a low-pressure RO system while C-RO is based on a single chamber. Chang claimed that all aqueous solutions, including salt water, regardless of its osmotic pressure can be separated into water and salt. The second patent (US 10.953.367B2, March 23, 2021) showed that a low-pressure reverse osmosis is possible for 3.0% input at Δ𝜋 of 10 to 12 bar. Singularity ZERO reverse osmosis from his third patent (Korea patent 10-22322755, US-PCT/KR202003595) for a 3.0% NaCl input, 50% more water recovery, use of 1/3 RO membrane area, and 1/5th of theoretical energy. These numbers come from Chang's laboratory experiments and theoretical analysis. Relative residence time (RRT) of feed and OE chambers makes Δ𝜋 to zero or negative by recycling enriched feed flow. The construction cost by S-ZERO was estimated to be around 50~60% of the current RO system.

• Atmosphere
• /
• v.32 no.1
• /
• pp.61-70
• /
• 2022

This study evaluates the economic values for the several first precipitation events during Changma period. The selected three years are 2015, 2019, and 2020, where average precipitation amounts across the 58 Korean stations are 12.8, 20.1 and 13.3 mm, respectively. The four categories are used to assess the values including air quality improvement, water resource acquisition/accumulation, drought mitigation, and forest fire prevention/recovery. Economic values for these three years are estimated 50~150 billion won. Among the four factors considered, the effect of air quality improvement is most highly valued, amounting to 70 to 90% of the total economic values. Wet decomposition of air pollution (PM₁₀, NO₂, CO, and SO₂) is the primary reason. The next valuable element is water resource acquisition, which is estimated 9~15 billion won. Effects of drought mitigation and fire prevention are deemed relatively small. This study is the first to estimate the value of the precipitation events during Changma onset. An analysis for more Changma years will be performed to achieve a more reliable estimate.

• The Mathematical Education
• /
• v.63 no.2
• /
• pp.123-138
• /
• 2024

This study described the utilization of ChatGPT in teaching and students' learning processes for the course "Introductory Mathematics for Artificial Intelligence (Math4AI)" at 'S' University. We developed a customized ChatGPT and presented a learning model in which students supplement their knowledge of the topic at hand by utilizing this model. More specifically, first, students learn the concepts and questions of the course textbook by themselves. Then, for any question they are unsure of, students may submit any questions (keywords or open problem numbers from the textbook) to our own ChatGPT at https://math4ai.solgitmath.com/ to get help. Notably, we optimized ChatGPT and minimized inaccurate information by fully utilizing various types of data related to the subject, such as textbooks, labs, discussion records, and codes at http://matrix.skku.ac.kr/Math4AI-ChatGPT/. In this model, when students have questions while studying the textbook by themselves, they can ask mathematical concepts, keywords, theorems, examples, and problems in natural language through the ChatGPT interface. Our customized ChatGPT then provides the relevant terms, concepts, and sample answers based on previous students' discussions and/or samples of Python or R code that have been used in the discussion. Furthermore, by providing students with real-time, optimized advice based on their level, we can provide personalized education not only for the Math4AI course, but also for any other courses in college math education. The present study, which incorporates our ChatGPT model into the teaching and learning process in the course, shows promising applicability of AI technology to other college math courses (for instance, calculus, linear algebra, discrete mathematics, engineering mathematics, and basic statistics) and in K-12 math education as well as the Lifespan Learning and Continuing Education.

• Radiation Oncology Journal
• /
• v.25 no.1
• /
• pp.7-15
• /
• 2007

[ $\underline{Purpose}$ ]: To determine the patterns of evaluation and treatment in patients with breast cancer after mastectomy and treated with radiotherapy. A nationwide study was performed with the goal of improving radiotherapy treatment. $\underline{Materials\;and\;Methods}$: A web- based database system for the Korean Patterns of Care Study (PCS) for 6 common cancers was developed. Randomly selected records of 286 eligible patients treated between 1998 and 1999 from 17 hospitals were reviewed. $\underline{Results}$: The ages of the study patients ranged from 20 to 80 years (median age 44 years). The pathologic T stage by the AJCC was T1 in 9.7% of the cases, T2 in 59.2% of the cases, T3 in 25.6% of the cases, and T4 in 5.3% of the cases. For analysis of nodal involvement, N0 was 7.3%, N1 was 14%, N2 was 38.8%, and N3 was 38.5% of the cases. The AJCC stage was stage I in 0.7% of the cases, stage IIa in 3.8% of the cases, stage IIb in 9.8% of the cases, stage IIIa in 43% of the cases, stage IIIb in 2.8% of the cases, and IIIc in 38.5% of the cases. There were various sequences of chemotherapy and radiotherapy after mastectomy. Mastectomy and chemotherapy followed by radiotherapy was the most commonly performed sequence in 47% of the cases. Mastectomy, chemotherapy, and radiotherapy followed by additional chemotherapy was performed in 35% of the cases, and neoadjuvant chemoradiotherapy was performed in 12.5% of the cases. The radiotherapy volume was chest wall only in 5.6% of the cases. The volume was chest wall and supraclavicular fossa (SCL) in 20.3% of the cases; chest wall, SCL and internal mammary lymph node (IMN) in 27.6% of the cases; chest wall, SCL and posterior axillary lymph node in 25.9% of the cases; chest wall, SCL, IMN, and posterior axillary lymph node in 19.9% of the cases. Two patients received IMN only. The method of chest wall irradiation was tangential field in 57.3% of the cases and electron beam in 42% of the cases. A bolus for the chest wall was used in 54.8% of the tangential field cases and 52.5% of the electron beam cases. The radiation dose to the chest wall was $45{\sim}59.4\;Gy$ (median 50.4 Gy), to the SCL was $45{\sim}59.4\;Gy$ (median 50.4 Gy), and to the PAB was $4.8{\sim}38.8\;Gy$, (median 9 Gy) $\underline{Conclusion}$: Different and various treatment methods were used for radiotherapy of the breast cancer patients after mastectomy in each hospital. Most of treatment methods varied in the irradiation of the chest wall. A separate analysis for the details of radiotherapy planning also needs to be followed and the outcome of treatment is needed in order to evaluate the different processes.

• Journal of Animal Science and Technology
• /
• v.48 no.6
• /
• pp.933-942
• /
• 2006

This experiment was carried out to investigate effects of honeybee venom treatment on the humoral immune response in pigs. Corresponding author : S. K. Cho, Dept. of Animal Sci. Chung-Buk National University, Kaesin-dong, Cheongju, 361-763, Korea. phone : 043-261-2551. E-mail : deercho@chungbuk.ac.kr To investigate effects of natural honeybee venom on the concentration of immunoglobulin G, A, and M, 20 piglets(LY×D) from 3 sows were allocated into two groups bee venom-treated group(10 piglets) and non-treated control(10 piglets). Natural honeybee venom was treated at 0, 3, 6 days after birth and the acupoints were Hai-men(ST-25), Du-kou(CV-8) and Jiao-chao(GV-1) points at 0, 3 days after birth and the regions of castration and tail amputation point at 6 days. Control group was injected 1㎖ of saline to the same site. Concentrations of IgG, A, and M were measured with immunoturbidimetric method at 0, 3, 7, 14, and 21 days after treatment. To investigate the effect of bee venom on the production of antibodies against hog cholera and atrophic rhinitis vaccines that were used as indicator antigens, 40 piglets(LYxD) from 5 sows were grouped as bee venom-treated group (20 piglets) and control group(20 piglets). Natural honeybee venom was treated at 0, 3days(castration, tail amputation) and 21days after birth. The acupoints were Hai-men(ST-25), Du-kou(CV-8) and Jiao-chao (GV-1) points at 0 day, the regions of castration and tail ampution at 3 days and Jiao-chao(GV-1) and Bai-hui(GV-20) points at 21days after birth(weaning). Control group was injected 1ml of saline to the same site. Atrophic rhinitis vaccine was injected twice at 24 and 44 days after birth and hog cholera vaccine was also injected twice at 44 and 64 days after birth. Antibody titers against Bordetella bronchiseptica and hog cholera virus were measured by using tube agglutination and ELISA tests at 24, 34, 44, 54 and 74 days after birth. Concentrations of IgG of treated group were 339.52, 366.48, 296.52, 242.06 and 219.06mg/dl at 0, 3, 7, 14 and 21 days after birth, respectively. In contrast, concentrations of IgG in control group were respectively 347.10, 334.14, 243.28, 205.18 and 191.58mg/dl during same periods with treated group. Concentrations of IgG at 0 day was not significantly different between the treated group and control group but treated group were significantly increased by 10.28% at 3 days after birth (P<0.02), 21.88% at 7 days after birth(P<0.01), 18.0% at 14 days after birth(P<0.07) and 14.3% at 21 days after birth(P<0.01). Concentrations of IgA and Ig M were not significantly different. Antibody titers against hog cholera virus were significantly increased by 57.0% at 24 days after birth(P<0.03), 74.6% at 34 days after birth (P<0.006), 48.6% at 44 days after birth(P<0.017), 45.0% at 54 days after birth(P<0.16) and 44.4% at 74 days after birth (P<0.006) in bee venom treated group in comparison with control group. Antibody titers against the Bordetella bronchiseptica was significantly increased in Beevenom treated group as 9.1% (P<0.32) at 24days, 39.7% (P<0.002) at 34days, 31.9% (P<0.02) at 44days, 33.4% (P<0.01) at 54days and 57.3% (P<0.007) at 74 days after birth when compared with those of control group pigs. Collecting together, the results in this study showed that immune responses were increased by treatment of natural honeybee venom to pigs. These results suggested that the treatment of bee venom could be used effectively for the increase of productivity in livestock industry.

• Asian-Australasian Journal of Animal Sciences
• /
• v.15 no.1
• /
• pp.124-136
• /
• 2002

As an official journal of the Asian-Australasian Association of Animal Production Societies (AAAP), the Asian-Australasian Journal of Animal Sciences (AJAS) was born in February 1987 and the first issue (Volume 1, Number 1) was published in March 1988 under the Editorship of Professor In K. Han (Korea). By the end of 2001, a total of 84 issues in 14 volumes and 1,761 papers in 11,462 pages had been published. In addition to these 14 volumes, a special issue entitled "Recent Advances in Animal Nutrition" (April, 2000) and 3 supplements entitled "Proceedings of the 9th AAAP Animal Science Congress" (July, 2000) were also published. Publication frequency has steadily increased from 4 issues in 1988, to 6 issues in 1997 and to 12 issues in 2000. The total number of pages per volume and the number of original or review papers published also increased. Some significant milestones in the history of the AJAS include that (1) it became a Science Citation Index (SCI) journal in 1997, (2) the impact factor of the journal improved from 0.257 in 1999 to 0.446 in 2000, (3) it became a monthly journal (12 issues per volume) in 2000, (4) it adopted an English editing system in 1999, and (5) it has been covered in "Current Contents/Agriculture, Biology and Environmental Science since 2000. The AJAS is subscribed by 842 individuals or institutions. Annual subscription fees of US$ 50 (Category B) or US$ 70 (Category A) for individuals and US$ 70 (Category B) or US$ 120 (Category A) for institutions are much less than the actual production costs of US$ 130. A list of the 1,761 papers published in AJAS, listed according to subject area, may be found in the AJAS homepage (http://www.ajas.snu.ac.kr) and a very well prepared "Editorial Policy with Guide for Authors" is available in the Appendix of this paper. With regard to the submission status of manuscripts from AAAP member countries, India (235), Korea (235) and Japan (198) have submitted the most manuscripts. On the other hand, Mongolia, Nepal, and Papua New Guinea have never submitted any articles. The average time required from submission of a manuscript to printing in the AJAS has been reduced from 11 months in 1997-2000 to 7.8 months in 2001. The average rejection rate of manuscripts was 35.3%, a percentage slightly higher than most leading animal science journals. The total number of scientific papers published in the AJAS by AAAP member countries during a 14-year period (1988-2001) was 1,333 papers (75.7%) and that by non- AAAP member countries was 428 papers (24.3%). Japanese animal scientists have published the largest number of papers (397), followed by Korea (275), India (160), Bangladesh (111), Pakistan (85), Australia (71), Malaysia (59), China (53), Thailand (53), and Indonesia (34). It is regrettable that the Philippines (15), Vietnam (10), New Zealand (8), Nepal (2), Mongolia (0) and Papua New Guinea (0) have not actively participated in publishing papers in the AJAS. It is also interesting to note that the top 5 countries (Bangladesh, India, Japan, Korea and Pakistan) have published 1,028 papers in total indicating 77% of the total papers being published by AAAP animal scientists from Vol. 1 to 14 of the AJAS. The largest number of papers were published in the ruminant nutrition section (591 papers-44.3%), followed by the non-ruminant nutrition section (251 papers-18.8%), the animal reproduction section (153 papers-11.5%) and the animal breeding section (115 papers-8.6%). The largest portion of AJAS manuscripts was reviewed by Korean editors (44.3%), followed by Japanese editors (18.1%), Australian editors (6.0%) and Chinese editors (5.6%). Editors from the rest of the AAAP member countries have reviewed slightly less than 5% of the total AJAS manuscripts. It was regrettably noticed that editorial members representing Nepal (66.7%), Mongolia (50.0%), India (35.7%), Pakistan (25.0%), Papua New Guinea (25.0%), Malaysia (22.8%) and New Zealand (21.5%) have failed to return many of the manuscripts requested to be reviewed by the Editor-in-Chief. Financial records show that Korea has contributed the largest portion of production costs (68.5%), followed by Japan (17.3%), China (8.3%), and Australia (3.5%). It was found that 6 AAAP member countries have contributed less than 1% of the total production costs (Bangladesh, India, Indonesia, Malaysia, Papua New Guinea and Thailand), and another 6 AAAP member countries (Mongolia, Nepal and Pakistan, Philippine and Vietnam) have never provided any financial contribution in the form of subscriptions, page charges or reprints. It should be pointed out that most AAAP member countries have published more papers than their financial input with the exception of Korea and China. For example, Japan has published 29.8% of the total papers published in AJAS by AAAP member countries. However, Japan has contributed only 17.3% of total income. Similar trends could also be found in the case of Australia, Bangladesh, India, Indonesia, Malaysia and Thailand. A total of 12 Asian young animal scientists (under 40 years of age) have been awarded the AJAS-Purina Outstanding Research Award which was initiated in 1990 with a donation of US$ 2,000-3,000 by Mr. K. Y. Kim, President of Agribrands Purina Korea Inc. In order to improve the impact factor (citation frequency) and the financial structure of the AJAS, (1) submission of more manuscripts of good quality should be encouraged, (2) subscription rate of all AAAP member countries, especially Category B member countries should be dramatically increased, (3) a page charge policy and reprint ordering system should be applied to all AAAP member countries, and (4) all AAAP countries, especially Category A member countries should share more of the financial burden (advertisement revenue or support from public or private sector).

• Journal of Intelligence and Information Systems
• /
• v.22 no.4
• /
• pp.109-122
• /
• 2016

Recently, big data analysis has developed into a field of interest to individuals and non-experts as well as companies and professionals. Accordingly, it is utilized for marketing and social problem solving by analyzing the data currently opened or collected directly. In Korea, various companies and individuals are challenging big data analysis, but it is difficult from the initial stage of analysis due to limitation of big data disclosure and collection difficulties. Nowadays, the system improvement for big data activation and big data disclosure services are variously carried out in Korea and abroad, and services for opening public data such as domestic government 3.0 (data.go.kr) are mainly implemented. In addition to the efforts made by the government, services that share data held by corporations or individuals are running, but it is difficult to find useful data because of the lack of shared data. In addition, big data traffic problems can occur because it is necessary to download and examine the entire data in order to grasp the attributes and simple information about the shared data. Therefore, We need for a new system for big data processing and utilization. First, big data pre-analysis technology is needed as a way to solve big data sharing problem. Pre-analysis is a concept proposed in this paper in order to solve the problem of sharing big data, and it means to provide users with the results generated by pre-analyzing the data in advance. Through preliminary analysis, it is possible to improve the usability of big data by providing information that can grasp the properties and characteristics of big data when the data user searches for big data. In addition, by sharing the summary data or sample data generated through the pre-analysis, it is possible to solve the security problem that may occur when the original data is disclosed, thereby enabling the big data sharing between the data provider and the data user. Second, it is necessary to quickly generate appropriate preprocessing results according to the level of disclosure or network status of raw data and to provide the results to users through big data distribution processing using spark. Third, in order to solve the problem of big traffic, the system monitors the traffic of the network in real time. When preprocessing the data requested by the user, preprocessing to a size available in the current network and transmitting it to the user is required so that no big traffic occurs. In this paper, we present various data sizes according to the level of disclosure through pre - analysis. This method is expected to show a low traffic volume when compared with the conventional method of sharing only raw data in a large number of systems. In this paper, we describe how to solve problems that occur when big data is released and used, and to help facilitate sharing and analysis. The client-server model uses SPARK for fast analysis and processing of user requests. Server Agent and a Client Agent, each of which is deployed on the Server and Client side. The Server Agent is a necessary agent for the data provider and performs preliminary analysis of big data to generate Data Descriptor with information of Sample Data, Summary Data, and Raw Data. In addition, it performs fast and efficient big data preprocessing through big data distribution processing and continuously monitors network traffic. The Client Agent is an agent placed on the data user side. It can search the big data through the Data Descriptor which is the result of the pre-analysis and can quickly search the data. The desired data can be requested from the server to download the big data according to the level of disclosure. It separates the Server Agent and the client agent when the data provider publishes the data for data to be used by the user. In particular, we focus on the Big Data Sharing, Distributed Big Data Processing, Big Traffic problem, and construct the detailed module of the client - server model and present the design method of each module. The system designed on the basis of the proposed model, the user who acquires the data analyzes the data in the desired direction or preprocesses the new data. By analyzing the newly processed data through the server agent, the data user changes its role as the data provider. The data provider can also obtain useful statistical information from the Data Descriptor of the data it discloses and become a data user to perform new analysis using the sample data. In this way, raw data is processed and processed big data is utilized by the user, thereby forming a natural shared environment. The role of data provider and data user is not distinguished, and provides an ideal shared service that enables everyone to be a provider and a user. The client-server model solves the problem of sharing big data and provides a free sharing environment to securely big data disclosure and provides an ideal shared service to easily find big data.

• Journal of Korean Theatre Studies Association
• /
• no.40
• /
• pp.163-206
• /
• 2010

Um die Jahrhundertwende des 20. Jahrhunderts besinnt sich Theater als ein Kunstwerk auf seine eigene $Realit{\ddot{a}}t$, $K{\ddot{o}}rper$, Raum und Zeit. Die Existenzweise des Theaterkunstwerks ist $Auff{\ddot{u}}hrung$. Die Kennzeichen der $Auff{\ddot{u}}hrung$ ist Transitorik, Unmittelbarkeit und Ereignishaftigkeit. $Auff{\ddot{u}}hrungsanalyse$ der Theaterwissenschaft als Disziplin wird lange Zeit $vernachl{\ddot{a}}ssigt$, weil $Auff{\ddot{u}}hrung$ ein Opfer der Zeit ist. Angesichts der $Auf{\ddot{u}}hrungsanalyse$ $mu{\ss}$ man eine Invariante zur $Verf{\ddot{u}}gung$ stellen, um einen Gegenstand zu analysieren. Die Inszenierung als ${\ddot{a}}sthetischer$ Gegenstand ist einmalig und unwiederbringlich. Das $B{\ddot{u}}hnengeschehen$ ist materielle $Realit{\ddot{a}}t$, die von dem Zuschauer sinnlich - optisch und akustisch - erfahren wird. Die Inszenierung realisiert sich in 'drei $B{\ddot{u}}hnengestalten$': 'Intendierte $B{\ddot{u}}hnengestalt$', 'realen $B{\ddot{u}}hnengestalt$' und 'vermeinte $B{\ddot{u}}hnengestalt$'. Die $Auff{\ddot{u}}hrung$ konkretisiert sich im Kopf des Zuschauers nicht als eine reale $B{\ddot{u}}hnengestalt$, sondern als ein '${\ddot{a}}sthetisches$ Objekt', 'als Abdruck der $B{\ddot{u}}hnenvorg{\ddot{a}}nge$'. Der Platz des $Auff{\ddot{u}}hrungsanalytikers$ ist der des Zuschauers, des Rezipienten. Die ${\ddot{a}}sthetische$ $B{\ddot{u}}hnengestalt$ ist eine Rekonstruktion der selektiven wahrgenommenden $Auff{\ddot{u}}hrung$, die der 'realen $B{\ddot{u}}hnengestalt$' ${\ddot{a}}hnelt$. Diese Rekonstruktion als neue $Sch{\ddot{o}}pfung$ des Rezipienten ist "Simulacrum", das der dem Objekt $hinzugef{\ddot{u}}gte$ Intellekt ist. Der Begriff der $Auff{\ddot{u}}hrungsanalyse$ wird Synonym $f{\ddot{u}}r$ die Interpretation als hermeneutischer $Proze{\ss}$. $F{\ddot{u}}r$ die Methode der $Auff{\ddot{u}}hrungsanalyse$ gibt es Strukturanalyse und Transformationsanalyse. Strukturanalyse geht $ausschlie{\ss}lich$ von der $Auff{\ddot{u}}hrung$ aus. Transformationsanalyse geht von der Transformation des Textes aus. $F{\ddot{u}}r$ diese Arbeit steht dramaturgische Analyse von Shakespeares Romeo und Julia als erste Grundlage. Die Handlungsentwicklung von Romeo und Julia ist klar in '$f{\ddot{u}}nf$ Akte' eingeteilt, die insgesamt aus 24 Szenen bestehen. Die Gesamthandlung von Romeo und Julia baut sich $pyramidenf{\ddot{o}}rmig$ nach dem Schema der steigenden und fallenden Handlung auf: Exposition/ Ausgangssituation (bis zur ersten Begegnung des Liebespaares auf dem Fest), erregendes Moment als Steigerung (von der Verliebtheit bis zur $Eheschlie{\ss}ung$), Wendepunkt/ Peripetie (Mercutios Tod), retardierendes Moment (Julias Scheintod) und Katastrophe (Vereinigung im Grabe). Die Handlung des $St{\ddot{u}}ckes$ gliedert sich in eine Haupt- und eine Nebenhandlung: dominierend ist die Liebeshandlung zwischen Romeo und Julia, daneben steht die Entwicklung der Fehde zwischen den Familien von Montague und Capulet; sie sind 'sich gegenseitig bedingend, steigernd, hemmend und vernichtend'. Parallelisierung und Kontrast der Figurenkonstellation werden in den jeweils sozial oder im Alter entsprechenden Figuren aus den beiden verfeindeten Familien gezeigt. Die Thematik des $St{\ddot{u}}ckes$ kommt in dem Oxymoron "loving hate" (I.1.175) zum Ausdruck. Shakespeare $l{\ddot{a}}sst$ die Liebeshandlung von Romeo und Julia in der Art der de casibus-$Trag{\ddot{o}}die$ spielen; deren Handlungsmuster ist 'dargestellt im Rad der Fortuna, das einen Menschen $emportr{\ddot{a}}gt$ und wieder $abst{\ddot{u}}rzen$ $l{\ddot{a}}sst$'. Das $St{\ddot{u}}ck$ Romeo und Julia ist eine experimentelle $Trag{\ddot{o}}die$. Es beginnt als $Kom{\ddot{o}}die$ mit $Z{\ddot{u}}gen$ einer Romanze, die sich aus dem Motiv der privaten Liebe und Heirat entwickelt. Pater Lorenzo und die Amme treten mit Lorenzos Wissen von der magischen Kraft der $Kr{\ddot{a}}uter$ und der $Geschw{\ddot{a}}tzigkeit$ der Amme $h{\ddot{a}}ufig$ in der $Kom{\ddot{o}}die$ auf. Die Handlung von Romeo und Julia erreicht mit Mercutios Tod den Wendepunkt, der die komische Welt zur tragischen umwandelt. $F{\ddot{u}}r$ die Sprache gibt es Prosa der Diener wie die Alltagssprache der einfachen Leute und zugleich Verse der Adeligen. Shakespeare verwendet eine kontrastreiche Metaphorik $f{\ddot{u}}r$ Raum und Zeit. Dreimal geschehen am Tag die $K{\ddot{a}}mpfe$ der verfeindeten Familien auf den ${\ddot{o}}ffentlichen$ $Pl{\ddot{a}}tzen$. Der Tag wirft ein Licht auf den Hass und die Gewalt. Die Nacht aber ist die $Sph{\ddot{a}}re$ der Liebe, wo Romeo und Julia ihre heimliche Verbindung verborgen halten $k{\ddot{o}}nnen$. Die Liebenden treffen sich in der Nacht und in dem ummauerten Raum. Oh, Tae-Suks "Romeo und Julia" wird in der Form des Madangguks gestaltet. Die Handlung in Oh, Tae- Suks Textfassung ist also nicht nach dem Prinzip der $Kausalit{\ddot{a}}t$ und Folgerichtigkeit zu lesen wie im Shakespeare-Drama. Wegen dem Ignorieren der $Kausalit{\ddot{a}}t$ des Handlungsablaufes und dem Fehlen der Motivation der Handlung ergibt sich hier keine individuelle psychologische Figurencharakterisierung. Die Figuren sind typisiert. Die koreanische Textfassung mit den extremen textlichen $Verk{\ddot{u}}rzungen$ und den zwei szenischen $Hinzuf{\ddot{u}}gungen$ $pr{\ddot{a}}gt$ die Inszenierung dahingehend, dass an die Stelle der Wortsprache mehr $K{\ddot{o}}rpersprache$ und szenische Bilder treten. Die langen Sprechpartien der Figuren im Shakespeare-Drama werden meistens $gek{\ddot{u}}rzt$ und $beschr{\ddot{a}}nken$ sich entweder auf Informationen ${\ddot{u}}ber$ die Situation oder zur Handlungsentwicklung. Und der Handlungsablauf erfolgt in Episoden sowie Musik, Lied und Tanz; Musik, Lied und Tanz dienen einerseits dem ${\ddot{U}}bergang$ der Szenen, sind aber andererseits auch selbst Teil des Handlungsablaufs. $W{\ddot{a}}hrend$ Shakespeare die Sprache der $W{\ddot{o}}rter$ in den Vordergrund $r{\ddot{u}}ckt$, $st{\ddot{u}}tzt$ Oh, Tae-Suk sich mehr auf die Sprache des $K{\ddot{o}}rpers$, die ja zugleich bildhaft ist. $Daf{\ddot{u}}r$ nimmt die Inszenierung Tanz und Lieder. Oh, Tae-Suks Inszenierung entwirft Shakespeares $Trag{\ddot{o}}die$ in der Form des Madangguks als Spiel und zugleich als erkennentnisorientiertes, nachdenkliches Theater $f{\ddot{u}}r$ den koreanischen Zuschauer, das dem traditionellen koreanischen Theater als Unterhaltungstheater nicht $m{\ddot{o}}glich$ ist, in dem sich das Volk von der Wirklichkeit erleichterte und sich $vergn{\ddot{u}}gte$. Oh, Tae-Suk formt das Publikum zum 'Wir' und zugleich zum 'Ich'. Mit dem Zusammensein der $v{\ddot{o}}llig$ andernen Theaterkulturen schafft der Reigisseur das hybride Theater und dadurch bildet $f{\ddot{u}}r$ die moderne koreanische Gesellschaft eine neue kulturelle $Identit{\ddot{a}}t$ heraus.