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A Study on Aspects of Vital Capitalism Represented on Film Contents (영상 콘텐츠에 나타난 생명자본주의적 관점에 관한 연구)

  • Kang, Byoung-Ho
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.117-130
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    • 2019
  • After Marx, the issues regarding human labour have been the alienation towards production means and the distributive justice. Fourth industrial revolution and development of AI(Artificial Intelligence) opened the possibility of a independent production and economy system absolutely excluding against human nature and labour. Using robots and AI will deepen demarcation between living things and one not having life, separating the intelligence from the consciousness. At present, so called pre-stage of post human, seeking interests for life, new social relationship and new community will be increased as well. We can understand that interests for small community, self-sufficiency, dailiness, food and body in this context is increasing too. Representative trend towards this cultural phenomena is called as the 'Kinfolk culture.' Work-life balance, 'Aucalme', 'Hygge', 'So-Hwak-Haeng'(a small but reliable happiness) are the similar culture trends as. Vital capitalism, presented by O-Yong Lee, seeks focusing onto living things principles, e.g. 'topophilia', 'neophilia', and 'biophilia' as the dynamics looking for the history substructure, not class struggle and conflicts. He also argues the 'Vital Capitalism' be regarded as a new methodology to anticipate a social system after post human era. G. Deleuze said "arts is another expression method for existential philosophy. It gives a vitality onto philosophy and gives a role to letting abstract concept into definite image." We can find a lot cases arts' imagination overcomes critical point of scientific prediction power in the future prediction. This paper reviews ideas and issues of 'vital capitalism' in detail and explorers imaginating initial ideas of vital capitalism in the film 'Little Forest.'

Factors Affecting Cross-Buying Intentions in the Banking Industry (은행서비스 산업에서 교차구매 의도의 영향요인에 관한 연구)

  • Kim, Jihea;Kim, Sanghyeon
    • Asia Marketing Journal
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    • v.11 no.3
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    • pp.57-89
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    • 2009
  • This study aims to shed light on the new insights on the cross-buying intentions in the banking industry and suggests an integrated model of the cross-buying intentions. Recently with globalization in the financial sector, financial companies are trying to retain current customers and attract new one by developing various financial products. In South Korea, this trend is especially apparent in the banking sector. Cross-selling of various financial products such as beneficiary certificates, bankasurance and etc. is becoming more important in retaining competitive advantage in Korean banking industry. However, there are few studies which are trying to find out the factors affecting cross-buying intentions and explain their interrelationships comprehensively. Based upon the previous studies, this study finds out the factors affecting cross-buying intentions and classifies them into two dimensions: affective and instrumental. Affective dimension includes trust, satisfaction and commitment. Instrumental dimension includes the factors such as geological convenience, one-stop convenience, professionality, and direct mail. The results from this study are as follow. All the factors in the affective dimension(trust, satisfaction and commitment) have significant impacts on cross-buying intentions. Also all the factors in the instrumental dimension(geological convenience, one-stop convenience, professionality, and DM) significantly affect cross-buying intentions. Some implications of this dissertation are as follow; First, this study identifies the antecedents of cross-buying intentions comprehensively. Second, this paper provides practical guidelines for the banks attempting to intensify cross-selling activities. Third, banks need to develop sophisticated plans which can consolidate the emotional ties with customers through positive service experiences as the affective dimension is important in influencing cross-buying intentions. Finally, regarding the instrumental dimesnion, the implications are: 1) Developing various new financial products in addition to traditional product such as deposits and installment savings for improving customer convenience, 2) Enhancing the professionality of employees by strengthening education programs on numbers of financial products, 3) Increasing cross-buying intentions through the DM.

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China and global leadership (Китай и глобальное лидерство)

  • Mikheev, Vasily;Lukonin, Sergey;Ignatev, Sergei
    • Analyses & Alternatives
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    • v.1 no.2
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    • pp.31-43
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    • 2017
  • The article is devoted to the theoretical and practical analysis of Chinese global leadership. The concept of leadership is applied as a methodology, which involves identifying the main factors, such as strategic power, the attractiveness of political institutions, the ability to provide acceptable ideas and the presence of allies that contribute to a comprehensive analysis of the country's leadership potential. The authors also describe the relevance of Chinese global leadership and analyze its domestic, economic and international causes. Moreover, the ''Belt and Road'' initiative is defined as the main mechanism for providing the influence of China on the global level which is now being changed its quantitative component, namely the increasing attention to the security aspects of this initiative. In addition to that, it is important to note that China maintains its economic and political positions in Africa, Central Asia and South-East Asia. Africa has a special role in the Chinese ''Belt and Road'' initiative as a recipient of Chinese investments and a site for the deployment of China's naval facilities to protect the trade routes. On the regional level, China will strive to become a leader of the trade and economic processes in the Asia-Pacific region, the South China Sea and the North Korea nuclear program issues. The American factor in modern international relations, namely so-called "Trump factor", which means the U.S. withdrawal from the Trans-Pacific Partnership and the Paris Agreement, will cause demand for Chinese leadership in the Asia-Pacific region and in the world as well. However, in this case a number of questions arise: is China prepared for this? Is Beijing able to bear greater responsibility? Does China have the potential for this? The article concludes that China will not become global leaders in the next 20-30 years, because of internal (political reforms) and foreign policy reasons (doctrinal formulation of foreign policy initiatives, military-political and economic power, international posture and relations with other states). The authors believe that the implementation of Chinese leadership is possible not on the condition of confrontation between China and the United States, but on the establishing of constructive relations between these countries. The last meeting between Trump and Xi Jinping showed a trend for creating channels for dialogue between Beijing and Washington, which can become the basis for interaction. An important place in the work is given to the analysis of development and forecasting the evolution of Russian-Chinese and U.S.-China relations. As for Russia, Moscow should conduct a policy that will not allow it to become a ''junior partner'' of China.

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Analysis of the Characteristics of Patients Admitted to Korean Medicine Ophthalmology, Otolaryngology and Dermatology Department -From March, 2018 to February, 2023, Korean Medicine Hospital of Daejeon University- (한방안이비인후피부과로 입원한 환자들의 특성 분석 -2018년 3월부터 2023년 2월까지 대전대학교 대전한방병원에서-)

  • Jong-Chan Baek;Yoon-Young Choi;Jung-Ah Byun;Seo-Hee Kim;Hyun-A Jung
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.36 no.4
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    • pp.1-18
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    • 2023
  • Objectives : This study retrospectively analyzed the medical records of patients admitted to Korean medicine ophthalmology, otolaryngology and dermatology department of Daejeon Korean medicine hospital from March 2018 to February 2023 to analyze the characteristics of patients receiving inpatient treatment. Methods : We retrospectively analyzed inpatients who admitted to ophthalmology & otolaryngology & dermatology clinic of Daejeon Korean medicine hospital from March 1st, 2018 to February 28th, 2023, according to gender, age, year, season, detailed subdivision. The statistical analysis performed using IBM SPSS 29.0 for Windows. Results : 1. Examining the gender distribution of the patient group, there were 367 female patients, accounting for 71.7% of the total patients, and 145 male patients, accounting for 28.3% of the total patients. 2. When analyzing inpatients by subdivision, otology accounted for more than half of the total number of inpatients, and the combined number of otology and dermatology accounted for more than 80% of the total. 3. As a result of analyzing inpatients by frequent disease, Sudden hearing loss was a significantly higher number of patients, accounting for 22.7% of all inpatients. Conclusions : It was found that the proportion of patients with otologic diseases was very prominent. It is thought that further research is needed to see if the trend of increasing demand for otologic diseases continues.

Quantity and Processing Characteristics of Potatoes for Chipping during Autumn Cultivation by Harvest Time

  • Gyu Bin Lee;Jang Gyu Choi;Do Hee Kwon;Jae youn Yi;Young Eun Park;Yong Ik Jin;Gun Ho Jung
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2023.04a
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    • pp.25-25
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    • 2023
  • As the demand for processing potatoes increases, imports of raw potatoes and potato products are increasing, so it is necessary to expand potato production as raw materials for processing in Korea. Potato varieties for processing that can be grown in fall have been developed, but research on cultivation technology and processing quality management technology to improve chip processing quality is very insufficient. Therefore, this study was conducted to investigate the optimal harvest time by investigating the quantity and chipping characteristics of potato chips during autumn cultivation. As the test varieties, the chip processing varieties "Saebong", "Eunsun", and "Geumnaru" were used, and the potato cultivation site was the Seocheon-gun Test field (214 Gaeya-ri) of the Chungcheongnam-do. The test treatment was at harvest time after spring cultivation, and the potatoes were harvested at 70, 80, 90, and 100 days after sowing based on the sowing time. The investigation items were potato productivity (total yield, yield of standard processing, and number of tubers) and chip-processing characteristics (chip color, dry matter content, glucose content, etc.). As a result of examining the yield characteristics according to the harvest time, statistical significance was not found according to the treatment. The total yield (ton/ha) was 27.5 to 30.5, and there was no significant difference depending on the time of 70 to 100 days after harvest. The standard quantity for processing (yield of 81-250g potatoes per unit) also showed a similar trend. In chipping characteristics according to harvest time, statistical significance was high in specific gravity and glucose content. The specific gravity was highest at 1.077 at 70 days after harvest, and the glucose (mg/dL) content was the lowest at 37.5 at 80 days after harvest. Statistical significance was not recognized, but chip color (L value) was the highest at 64.4 at 70 days after harvest. Therefore, it is judged that the optimal harvesting time for chip processing is 70 to 80 days after sowing.

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Estimation of Premature Deaths due to Exposure to Particulate Matter (PM2.5) Reflecting Population Structure Change in South Korea (인구구조 변동 추세를 반영한 미세먼지 노출에 의한 조기 사망자 추정)

  • Junghyun Park;Yong-Chul Jang;Jong-Hyeon Lee
    • Journal of Environmental Health Sciences
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    • v.49 no.6
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    • pp.362-371
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    • 2023
  • Background: PM2.5 pollution has been a persistent problem in South Korea, with concentrations consistently exceeding World Health Organization (WHO) guidelines. The aging of the population in the country further exacerbates the health impacts of PM2.5 since older adults are more susceptible to the adverse effects of air pollution. Objectives: This study aims to evaluate how the health impact (premature death) due to long-term exposure to PM2.5 in South Korea could change in the future according to the trend of change in the country's population structure. Methods: The study employs a relative risk function, which accounts for age-specific relative risks, to assess the changes in premature deaths by age and region at the average annual PM2.5 concentration for 2022 and at PM2.5 concentration improvement levels. Premature deaths were estimated using the Global Exposure Mortality Model (GEMM). Results: The findings indicate that the increase in premature deaths resulting from the projected population structure changes up to 2050 would significantly outweigh the health benefits (reduction in premature deaths) compared to 2012. This is primarily attributed to the rising number of premature deaths among the elderly due to population aging. Furthermore, the study suggests that the effectiveness of the current domestic PM2.5 standard would be halved by 2050 due to the increasing impact of population aging on PM2.5-related mortality. Conclusions: The study highlights the importance of considering trends in population structure when evaluating the health benefits of air pollution reduction measures. By comparing and evaluating the health benefits in reflection of changes in population structure to the predicted PM2.5 concentration improvements at the provincial level, a more comprehensive assessment of regional air quality management strategies can be achieved.

Comparison of MODIS and VIIRS NDVI Characteristics on Corn and Soybean Cultivation Areas in Illinois (일리노이주 옥수수, 콩 재배지 MODIS와 VIIRS NDVI 특성 비교)

  • Kyungdo Lee;Sookgyeong Kim;Jae-Hyun Ryu;Hoyong Ahn
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1483-1490
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    • 2023
  • We analyzed the potential for joint utilization of Visible Infrared Imaging Radiometer Suite (VIIRS) satellite imagery Normalized Difference Vegetation Index (NDVI) in crop assessment, considering the aging of MODerate resolution Imaging Spectroradiometer (MODIS) satellites. Over 11 years from 2012 to 2022, we examined the characteristics of NDVI changes in corn and soybean cultivation areas in Illinois, USA. VIIRS and MODIS satellite imagery NDVI exhibited a high correlation coefficient of over 0.98. However, during periods of rapid crop growth or decline, VIIRS NDVI showed values approximately 0.12 to 0.14 higher than MODIS. Estimating crop anomaly classes based on NDVI, we observed similar trends in corn and soybean crop anomaly classes in 2018 and 2019. However, in 2022, there appeared to be a significant divergence in crop anomaly classes, suggesting the need for further investigation. The correlation coefficients between MODIS and VIIRS satellite imagery NDVI and corn and soybean yields were consistently high, exceeding 0.8, indicating the potential for quantity estimation using both MODIS and VIIRS satellite imagery. Specifically, for VIIRS NDVI, excluding the increasing trend in crop quantity estimation for soybeans enhanced the correlation, and compared to MODIS, it showed a consistently high correlation with quantity from approximately 16 days earlier, indicating the potential for early estimation.

Marine Heat Waves Detection in Northeast Asia Using COMS/MI and GK-2A/AMI Sea Surface Temperature Data (2012-2021) (천리안위성 해수면온도 자료 기반 동북아시아 해수고온탐지(2012-2021))

  • Jongho Woo;Daeseong Jung;Suyoung Sim;Nayeon Kim;Sungwoo Park;Eun-Ha Sohn;Mee-Ja Kim;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1477-1482
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    • 2023
  • This study examines marine heat wave (MHW) in the Northeast Asia region from 2012 to 2021, utilizing geostationary satellite Communication, Ocean, and Meteorological Satellite (COMS)/Meteorological Imager sensor (MI) and GEO-KOMPSAT-2A (GK-2A)/Advanced Meteorological Imager sensor (AMI) Sea Surface Temperature (SST) data. Our analysis has identified an increasing trend in the frequency and intensity of MHW events, especially post-2018, with the year 2020 marked by significantly prolonged and intense events. The statistical validation using Optimal Interpolation (OI) SST data and satellite SST data through T-test assessment confirmed a significant rise in sea surface temperatures, suggesting that these changes are a direct consequence of climate change, rather than random variations. The findings revealed in this study serve the necessity for ongoing monitoring and more granular analysis to inform long-term responses to climate change. As the region is characterized by complex topography and diverse climatic conditions, the insights provided by this research are critical for understanding the localized impacts of global climate dynamics.

The Recent Climatic Characteristic and Change in the Republic of Korea based on the New Normals (1991~2020) (신평년(1991~2020년)에 기반한 우리나라 최근 기후특성과 변화에 관한 연구)

  • Hongjun Choi;Jeongyong Kim;Youngeun Choi;Inhye Hur;Taemin Lee;Sojung Kim;Sookjoo Min;Doyoung Lee;Dasom Choi;Hyun Min Sung;Jaeil Kwon
    • Atmosphere
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    • v.33 no.5
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    • pp.477-492
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    • 2023
  • Based on the new climate normals (1991~2020), annual mean, maximum and minimum temperature is 12.5℃, 18.2℃, and 7.7℃, respectively while annual precipitation is 1,331.7 mm, the annual mean wind speed is 2.0 m s-1, and the relative humidity is 67.8% in the Republic of Korea. Compared to 1981~2010 normal, annual mean temperature increased by 0.2℃, maximum and minimum temperatures increased by 0.3℃, while the amount of precipitation (0.7%) and relative humidity (1.1%) decreased. There was no distinct change in annual mean wind speed. The spatial range of the annual mean temperature in the new normals is large from 7.1 to 16.9℃. Annual precipitation showed a high regional variability, ranging from 787.3 to 2,030.0 mm. The annual mean relative humidity decreased at most weather stations due to the rise in temperature, and the annual mean wind speed did not show any distinct difference between the new and old normals. With the addition of a warmer decade (2011~2020), temperatures all increased consistently and in particular, the increase in the maximum temperature, which had not significantly changed in previous decades, was evident. The increasing trend of annual and summer precipitation by the 2010s has disappeared in the new normals. Among extreme climate indices, MxT30 (Daily maximum temperature ≥ 33℃ days), MnT25 (Daily minimum temperature ≥ 25℃ days), and PH30 (1 hour maximum precipitation ≥ 30 mm days) increased while MnT-10 (Daily minimum temperature < -10℃ days) and W13.9 (Daily maximum wind speed ≥ 13.9 m/s days) decreased at a statistically significant level. It is thought that a detailed study on the different trends of climate elements and extreme climate indices by region should be conducted in the future.

Analysis of Research Trends Related to drug Repositioning Based on Machine Learning (머신러닝 기반의 신약 재창출 관련 연구 동향 분석)

  • So Yeon Yoo;Gyoo Gun Lim
    • Information Systems Review
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    • v.24 no.1
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    • pp.21-37
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    • 2022
  • Drug repositioning, one of the methods of developing new drugs, is a useful way to discover new indications by allowing drugs that have already been approved for use in people to be used for other purposes. Recently, with the development of machine learning technology, the case of analyzing vast amounts of biological information and using it to develop new drugs is increasing. The use of machine learning technology to drug repositioning will help quickly find effective treatments. Currently, the world is having a difficult time due to a new disease caused by coronavirus (COVID-19), a severe acute respiratory syndrome. Drug repositioning that repurposes drugsthat have already been clinically approved could be an alternative to therapeutics to treat COVID-19 patients. This study intends to examine research trends in the field of drug repositioning using machine learning techniques. In Pub Med, a total of 4,821 papers were collected with the keyword 'Drug Repositioning'using the web scraping technique. After data preprocessing, frequency analysis, LDA-based topic modeling, random forest classification analysis, and prediction performance evaluation were performed on 4,419 papers. Associated words were analyzed based on the Word2vec model, and after reducing the PCA dimension, K-Means clustered to generate labels, and then the structured organization of the literature was visualized using the t-SNE algorithm. Hierarchical clustering was applied to the LDA results and visualized as a heat map. This study identified the research topics related to drug repositioning, and presented a method to derive and visualize meaningful topics from a large amount of literature using a machine learning algorithm. It is expected that it will help to be used as basic data for establishing research or development strategies in the field of drug repositioning in the future.