Nowadays Korean society has a fast growing population of North Korean immigrant youth. Especially, North Korean immigrant youth, who are discontinuing formal education, experience difficulties in social exclusion and adaptation. Therefore, the purpose of this study was to understand the experiences of adaptation and social support of North Korean immigrant youth discontinuing formal education, and to seek affirmative supporting plans and solutions for their adaptation. The methodology utilized for this study was a case study research. On the basis of the results and categorization, 'a network between overall categories and of early adaptation' was derived. The major findings of this study are summarized as follows. First, the participants of this study experienced major difficulties during 'economical adaptation', and their economical adaptation was strongly interrelated with their 'educational adaptation'. The discontinuing of their education resulting from their fleeing period caused 'academic differential and age disparity.' Thus they could not enroll in the formal education system, and their insufficient educational background resulted in low wages and overwork due to manual labor jobs. Second, participants recognized 'interpersonal relations' as the most essential factor in adaptation, and 'social support' from the interpersonal relations played an important role in adaptation to and comfort in Korean society. 'Interactions with South Koreans' was recognized as a significant resource for gaining informational and appraisal support, but was not activated satisfactorily. On the other hand, interaction with North Korean immigrants was avoided by the reason that 'there's nothing to learn', however emotional support from North Korean immigrants of close relationship played an important role in participants' adaptation, especially in all aspects of psychological adaptation. Third, participants experienced a lot of difficulties and stresses in their 'physical health and psychological adaptation'. Their chronic diseases worsened by remaining untreated, and female perceived symptoms were observed more often than in male. Meanwhile, excessive 'stresses' from the unfamiliar environment of South Korea negatively affected their psychological adaptation. However, they were satisfied with sense of liberty and security from living in a democratic society.
In the twenty first century of rapid cultural change performing art requires new mode of expression based on imaginative power and creativity as well as establishing its own identity. The modern technological environment support this with advanced technology and bring about the expansion of reason from new experience. The introduction of digital media on artistic expression in particular, expands the physical ability of human body which is the main subject of performing art. A virtual body from digital technology is freed from physical boundaries and goes over space and time. It also suggests the possibility of new mode of communication with audience. This study aims at examining the subject of performing art and its digitalized movement focusing on EveR, the world's first professional robot actor. The robot actor which came on stage according to the new expression medium, a digital body, stands in need not only of technological value but also of cultural and artistic application for expression in art. In this endeavor to meet the demand, this study examines the development process and function of 'EveR' the robot actor. Also it searches into the performance of Ever which replaced human being as well as the historical significance of the title:the world's first. To be more specific, there is a example research on two performances:a pansori play "EveR is simply stunning(2009)" and children's play "The Robot Princess and Seven Dwarfs(2009)." Through this example research, it is enabled to anticipate the influence of robot actors on performing arts and to search for the better way of them to evolve. Furthermore, it aims at finding ways to create high value through promoting robot actors to be familiar to the public as well as supporting them to become active cultural contents. The performance with robotic technology is one of the artistic experiment that may cause the change of the future of performing art by actualizing technological imagination together with human body and machinery. As a consequence, it is expected that the meeting of performing art and robotic technology gives positive influence on activating performing art as one of the integrated cultural phenomenon which satisfies the taste of modern era. Moreover, this study may also be the beginning of the expansion of performing art to stretch to diverse field.
In this article, I would like to pay attention to the changesofShaman's play as a part of examining the process of changeofDonghaeanbyeolsingut. Currently, Shaman's play can be seeninBaekseok2-ri, Byeonggok-myeon, Yeongdeok-gun, Gugye-ri, Namjeong-myeon and Yeongdeok-gun. Among them, ShamanRitual of Baekseok2-ri is short in cycle and easy to see change. InShaman Ritual of Baekseok2-ri, various Shaman's plays suchasJungdodukjabi(중도둑잡이), Wonnimnori(원님놀이), Talgut(탈굿), Mallori(말놀이), Hotalgut(호탈굿) and Georigut(거리굿) areperformed. Shaman's play carried out in Donghaeanbyeolsingut changesevery time it is carried out. Depending on the degree of change, itcan be classified into passive change and positive change. Whilepassive changes are improvisational, aggressive changes areintentional. Shaman's plays are jungdodukjabi, Mallori, Hotalgut, which are the improvisational changes, and the intentional changesare Wonnimnori, Talgut, Georigut. The biggest change in Shaman's play is the disappearance of the Shaman Ritual. The Shaman Ritual is suspended due to lackofpeople, financial difficulties, religious conflicts or rational accidents. Secondly, the period of separation is shortened or shortened. Thiscauses Shaman's play to be dropped or shrunk to change. InShaman Ritual, changes in Shaman's play are variable andcreative. The change due to the intervention of the spectatorsismainly improvisation. On the other hand, the change bythepreliminary plan of the acquaintance is intentional, and the changeis large. The changing factors of Shaman's play are influenced bythedemands of the times and the recognition of the tradition group. Changes in the traditional environment can be attributed to lackofhuman resources, individualism, changes in the workingenvironment and time constraints. At the same time, givingautonomy to traffickers is a major reason for Shaman's playtochange.
The current study analyzed the relationship between expression type of humor ads and their advertising effects and the differences in advertising effects by expression type according to temperament as categorized by the Myers-Briggs Type Indicator (MBTI). Expression type of humor was classified into arousal-, incongruity-, and superiority-type humor ads. Advertising effects were measured by consumers' cognitive, affective, and conative responses. Three ads were created based on expression type of humor. A personality type, as measured by the MBTI, was categorized into four types of temperament, namely SP, SJ, NF, NT and used as moderating variables. As a result, the advertising effects varied according to the expression type of humor advertising. Interaction effects between ad expression type and temperament on ad feeling and ad preference were also found.
Min-Suk Jang;Seo-Hyun Choi;Se-ri Maeng;Yang-Sik Kim;Jae-Nam Bae;Jeong-Seop Lee;Won-Hyoung Kim
Korean Journal of Psychosomatic Medicine
/
v.31
no.2
/
pp.89-99
/
2023
Objectives : In this study, elderly hospitalized patients aged 65 years or older who were admitted to a university hospital and referred to the department of psychiatry were classified into youngest-old, middle-old, and oldest-old. It was conducted to find out what factors contribute to the agitation pattern by age group, whether there is a difference in the factors, and whether there is a difference in the severity of the agitation pattern. Methods : From July 1, 2021 to December 31, 2021, the medical records of patients aged 65 years or older who were referred to the department of psychiatry were retrospectively reviewed. Age, gender, route of hospitalization, department of referral, reason for referral, treatment method, presence of internal and surgical diseases, and hematological test data were investigated. Results : There was a significant correlation with the RASS score in cases of surgery referral and high CRP levels for youngest-old aged 65 to 74 years, in cases of surgery referral, dementia and hyponatremia for middle-old aged 75 to 84 years, in case of dementia for oldest-old aged 85 years old or older. In addition, there were differences in the severity of agitation patterns between age groups. Conclusions : As the age group increases, the agitation of delirium patients becomes more severe, and various factors contributing to the agitation pattern also differ by age group. Therefore, when treating elderly patients with delirium, attention should be paid to factors that may affect agitation depending on age.
The Journal of the Convergence on Culture Technology
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v.9
no.5
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pp.255-262
/
2023
In the early 20th century, Yeomjae Song Tae-hoe (念齋 宋泰會, 1872-1941), a disciple and onetime adopted son of teacher Song Su-myeon(宋修勉, 1847-1916), moved to Gochang and laid the foundation for Gochang calligraphy and painting, and it can be seen that a full-fledged flow began. Yeomjae Song Tae-hoe was a scholar and calligrapher of the late Joseon Dynasty and modern period from Hwasun, Jeollanam-do. He is a person who created the foundation of Gochang calligraphy and painting while working as an educator in Chinese literature, calligraphy, and painting, mainly in his hometown of Hwasun and Gochang, while engaging in creative activities. He was intelligent from a young age and showed an extraordinary talent for calligraphy. At the age of 16, he passed the Jinsa exam (童蒙進士) and became the youngest student to study at Sungkyunkwan. He was active by holding exhibitions nationwide based in Gochang and Jeonju, and was also an educator who fostered younger students by establishing Gochang High School (currently, Gochang Middle and High School) to cultivate national spirit and history. Yeomjae drew strong and healthy landscape paintings under the absolute influence of the painting style of Saho Song Su-myeon, and dealt with various materials of southern school literati paintings such as flowers and birds and four plants. In particular, he is a representative calligrapher who encompasses the early modern era and the modern era in that he expressed his interest in new cultural artifacts as well as the realization of a modern-oriented realistic landscape based on Korean natural beauty. He laid the foundation for modern and contemporary calligraphy and painting. Goam Lee Eung-no (顧菴 李應魯, 1904-1989), a world-renowned painter, learned the basics of ink painting from Yeomjae in his late teens.However, compared to his various artistic and social activities, it is regrettable that he is limited and evaluated as a local writer.
Hyeong-Tak Lee;Hey-Min Choi;Min-Kyu Kim;Suk Yoon;Kwang-Seok Kim;Jeong-Eon Moon;Hee-Jeong Han;Young-Je Park
Korean Journal of Remote Sensing
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v.39
no.5_1
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pp.695-713
/
2023
In coastal waters, phytoplankton,suspended particulate matter, and dissolved organic matter intricately and nonlinearly alter the reflectivity of seawater. Neural network technology, which has been rapidly advancing recently, offers the advantage of effectively representing complex nonlinear relationships. In previous studies, a three-stage neural network was constructed to extract the inherent optical properties of each component. However, this study proposes an algorithm that directly employs a deep neural network. The dataset used in this study consists of synthetic data provided by the International Ocean Color Coordination Group, with the input data comprising above-surface remote-sensing reflectance at nine different wavelengths. We derived inherent optical properties using this dataset based on a deep neural network. To evaluate performance, we compared it with a quasi-analytical algorithm and analyzed the impact of log transformation on the performance of the deep neural network algorithm in relation to data distribution. As a result, we found that the deep neural network algorithm accurately estimated the inherent optical properties except for the absorption coefficient of suspended particulate matter (R2 greater than or equal to 0.9) and successfully separated the sum of the absorption coefficient of suspended particulate matter and dissolved organic matter into the absorption coefficient of suspended particulate matter and dissolved organic matter, respectively. We also observed that the algorithm, when directly applied without log transformation of the data, showed little difference in performance. To effectively apply the findings of this study to ocean color data processing, further research is needed to perform learning using field data and additional datasets from various marine regions, compare and analyze empirical and semi-analytical methods, and appropriately assess the strengths and weaknesses of each algorithm.
The giant freshwater prawn (Macrobrachium rosenbergii) suffers economic losses in aquaculture facilities due to problems such as poor body color and carapace weakness. While this species is farmed on an animal-based diet, in the wild it consumes a detritus diet with a high proportion of plant matter. The plant matter they consume in the wild is not only a source of basic nutrients, but also carotenoids, which are responsible for body color. Korean goldenbell (Forsythia koreana) is a flowering tree widely distributed in Korea, and its leaves contain carotenoids comparable to yellow carrots. In this study, we investigated the effects of feeding Forsythia leaves to M. rosenbergii on their body color and health. The experimental diets were 100% commercial feed (control), CON, 80% commercial feed plus 20% Forsythia leaf powder, FP, and 80% commercial feed plus 20% unprocessed Forsythia leaves, FL, and each diet was fed to juvenile prawn with an average weight of 1.1 ± 0.2 g for 10 weeks. In terms of body color, the CON prawn were consistently clear ivory in color, while the FP and FL prawn changed from blue to dark brown as the days of rearing progressed. Survival and growth were not significantly different between CON and FP or FL. Histological comparison of the hepatopancreas revealed that the vacuole size of B cells, the constituent cells of the hepatopancreatic tubule, was significantly larger in FP and FL compared to CON. The vacuoles of B cells are responsible for the absorption and digestion of nutrients, suggesting that the supply of Forsythia leaves may have had a positive effect on the health of the M. rosenbergii. The above results show that the use of Forsythia leaves in the aquaculture of M. rosenbergii can be expected to improve body color and health without inhibiting growth.
Normalized Difference Vegetation Index (NDVI) is the most widely used remote sensing data in the agricultural field and is currently provided by most optical satellites. In particular, as high-resolution optical satellite images become available, the selection of optimal optical satellite images according to agricultural applications has become a very important issue. In this study, we aim to define the most optimal optical satellite image when monitoring NDVI in rice fields in Korea and derive the resolution-related requirements necessary for this. For this purpose, we compared and analyzed the spatial distribution and time series patterns of the Dangjin rice paddy in Korea from 2019 to 2022 using NDVI images from MOD13, Landsat-8, Sentinel-2A/B, and PlanetScope satellites, which are widely used around the world. Each data is provided with a spatial resolution of 3 m to 250 m and various periods, and the area of the spectral band used to calculate NDVI also has slight differences. As a result of the analysis, Landsat-8 showed the lowest NDVI value and had very low spatial variation. In comparison, the MOD13 NDVI image showed similar spatial distribution and time series patterns as the PlanetScope data but was affected by the area surrounding the rice field due to low spatial resolution. Sentinel-2A/B showed relatively low NDVI values due to the wide near-infrared band area, and this feature was especially noticeable in the early stages of growth. PlanetScope's NDVI provides detailed spatial variation and stable time series patterns, but considering its high purchase price, it is considered to be more useful in small field areas than in spatially uniform rice paddy. Accordingly, for rice field areas, 250 m MOD13 NDVI or 10 m Sentinel-2A/B are considered to be the most efficient, but high-resolution satellite images can be used to estimate detailed physical quantities of individual crops.
Atmospheric aerosols not only have adverse effects on human health but also exert direct and indirect impacts on the climate system. Consequently, it is imperative to comprehend the characteristics and spatiotemporal distribution of aerosols. Numerous research endeavors have been undertaken to monitor aerosols, predominantly through the retrieval of aerosol optical depth (AOD) via satellite-based observations. Nonetheless, this approach primarily relies on a look-up table-based inversion algorithm, characterized by computationally intensive operations and associated uncertainties. In this study, a novel high-resolution AOD direct retrieval algorithm, leveraging machine learning, was developed using top-of-atmosphere reflectance data derived from the Geostationary Ocean Color Imager-II (GOCI-II), in conjunction with their differences from the past 30-day minimum reflectance, and meteorological variables from numerical models. The Light Gradient Boosting Machine (LGBM) technique was harnessed, and the resultant estimates underwent rigorous validation encompassing random, temporal, and spatial N-fold cross-validation (CV) using ground-based observation data from Aerosol Robotic Network (AERONET) AOD. The three CV results consistently demonstrated robust performance, yielding R2=0.70-0.80, RMSE=0.08-0.09, and within the expected error (EE) of 75.2-85.1%. The Shapley Additive exPlanations(SHAP) analysis confirmed the substantial influence of reflectance-related variables on AOD estimation. A comprehensive examination of the spatiotemporal distribution of AOD in Seoul and Ulsan revealed that the developed LGBM model yielded results that are in close concordance with AERONET AOD over time, thereby confirming its suitability for AOD retrieval at high spatiotemporal resolution (i.e., hourly, 250 m). Furthermore, upon comparing data coverage, it was ascertained that the LGBM model enhanced data retrieval frequency by approximately 8.8% in comparison to the GOCI-II L2 AOD products, ameliorating issues associated with excessive masking over very illuminated surfaces that are often encountered in physics-based AOD retrieval processes.
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