• Korean Journal of Environment and Ecology
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• v.35 no.1
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• pp.68-80
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• 2021

This study aimed to provide basic data such as the structure of the Carpinus turczaninowii community and characteristics of the habitat environment for ex situ conservation by analyzing the plant community structure of Carpinus turczaninowii, an island plant resource. For the community structure analysis, this study established 29 plots, sized 100㎡ each, in Seokmo, Yeongjong, Yeongheung, and Daebu islands. TWINSPAN was used for the classification of communities. The classification identified six communities. Group I was the C. turczaninowii-Quercus serrata community, group II was the C. turczaninowii-Pinus densiflora community, group III was the C. turczaninowii-Quercus mongolica community, group IV was the C. turczaninowii-Sorbus alnifolia community, group V was the C. turczaninowii typical community, and group VI was the C. turczaninowii-Quercus variabilis community. The species diversity was 0.90008~1.12868, the dominance was 0.17536~0.25665, and the similarity index was 17.1429~38.2979%. The result of correlation analysis of 7 environmental factors for 6 communities by RDA ordination showed a positive correlation between the crown density and litter layer and a negative correlation between the bare rock, soil hardness, and altitude on the 1st axis. On the 2nd axis, the bare rock and crown density showed a positive correlation, and the slope showed a negative correlation. In the C. turczaninowii-Quercus serrata community (I), the crown density and the litter layer were the environmental factors affecting the vegetation distribution. In the C. turczaninowii-Pinus densiflora (II) and C. turczaninowii-Quercus mongolica (III) communities, the slope was the factor affecting vegetation distribution. In the C. turczaninowii-Sorbus alnifolia (IV), C. turczaninowii typical (V), and C. turczaninowii-Quercus variabilis (VI) communities, the bare rock, altitude, and soil hardness were the factors affecting vegetation distribution.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.2
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• pp.105-111
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• 2021

Rice lodging is an annual occurrence caused by typhoons accompanied by strong winds and strong rainfall, resulting in damage relating to pre-harvest sprouting during the ripening period. Thus, rapid estimations of the area of lodged rice are necessary to enable timely responses to damage. To this end, we obtained images related to rice lodging using a drone in Gimje, Buan, and Gunsan, which were converted to 128 × 128 pixels images. A convolutional neural network (CNN) model, a deep learning model based on these images, was used to predict rice lodging, which was classified into two types (lodging and non-lodging), and the images were divided in a 8:2 ratio into a training set and a validation set. The CNN model was layered and trained using three optimizers (Adam, Rmsprop, and SGD). The area of rice lodging was evaluated for the three fields using the obtained data, with the exception of the training set and validation set. The images were combined to give composites images of the entire fields using Metashape, and these images were divided into 128 × 128 pixels. Lodging in the divided images was predicted using the trained CNN model, and the extent of lodging was calculated by multiplying the ratio of the total number of field images by the number of lodging images by the area of the entire field. The results for the training and validation sets showed that accuracy increased with a progression in learning and eventually reached a level greater than 0.919. The results obtained for each of the three fields showed high accuracy with respect to all optimizers, among which, Adam showed the highest accuracy (normalized root mean square error: 2.73%). On the basis of the findings of this study, it is anticipated that the area of lodged rice can be rapidly predicted using deep learning.

• The Korean Society of Law and Medicine
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• v.23 no.3
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• pp.139-207
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• 2022

As various state restrictions on individual freedom were imposed during the COVID-19 pandemic, concerns have been raised that excessive infringements on fundamental rights were indiscriminately permitted based on the public interest of preventing infectious diseases. Therefore, the question of how to set acceptable limits of liberty restrictions on individuals has emerged. However, since the phenomenon of infections spreading to the population is only predicted statistically, how to deal with the risk of the infected individual as a subject of legal analysis has become a problem. In the absence of a theoretical framework of legal analysis of risk, the risk of infected individuals during the pandemic was not analyzed strictly, and proportionality review of infection prevention measures was often only an abstract comparison of the importance of public interest and individual rights. Therefore, this research aims to conduct a theoretical review on how risk can be conceptualized legally in a public health crisis, and to develop a theoretical framework for proportionality review of the risk of liberty-limiting measures during a pandemic. Chapter 2 analyzes the legal philosophical concepts of risk, which are the basis for liberty restrictions during a public health crisis, and applies and extends them to the pandemic. Chapter 3 reviews previous studies related to liberty restriction measures in the context of the COVID-19 pandemic, and points out they have a limitation that specific criteria for the proportionality review of public health measures in the pandemic have not been presented. Accordingly, Chapter 3 specifies the methodological framework for proportionality review, referring to the theoretical discussion on risks in Chapter 2. Chapter 4 reviews the legitimacy of gathering restriction orders, applying the theoretical discussion in Chapter 2 and the criteria for proportionality review established in Chapter 3. In particular, Section 4 examines logic of proportionality review in judicial precedents over the ban on gathering restrictions implemented in the COVID-19 pandemic. In analyzing the precedents, the logic of proportionality review in each case is critically reviewed and reconstructed based on the theoretical framework presented in this research.

• Journal of Popular Narrative
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• v.26 no.2
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• pp.251-276
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• 2020

The purpose of this article is to critically read Globalizing Borderlands Studies in Europe and North America to examine trends in border studies conducted so far in Europe and North America and to discuss the expandability and limitations of the narrative. It introduces a variety of case studies covering the borderlands of Europe and North America from ancient to modern times. It consists of a total of 10 chapters, in addition to the introduction chapter to clarify the purpose and definition of the collaboration and the short conclusion chapter on the prospects for the future of borderlands studies. This volume has some important implications for current borderland research in two main respects. First, it can introduce us we the areas and targets that the leading researchers from European and North American academia (usually the United States') have paid attention to. It also examines the current status of borderland research and predicts whether it will be possible to study various border areas where exist in other regions (especially in Asia) based on accumulating academic achievements, as well as the possibility of expansion of so-called 'globalization'. Second, it introduces the borderland as a conceptual space, beyond the border area as a physical space that is commonly thought of when it comes to 'border'. Cases of "conceptual borderlands" can be applied to a number of topics ranging from an individual's identities to the methods of governance, religions, economies, social institutions, families, labor issues, public health services and gender issues. There are, however, also some questions to be noted in the volume: the lack of consistent use of terminology, which can be considered general problems of collaboration studies; the fact that the authors still tend to understand borderlands within the imperialist discourse, perhaps because of their academic background is situated mainly in Europe and North America; the borderlands cases described here as the areas of conflict and struggle only. Nevertheless, the book is of significance in that it suggests a possibility of various borderlands studies and helps us to have better understanding of the current geopolitical situation imposed on the Korean Peninsula, which is located on the borderland between the continental and maritime powers.

• Journal of Life Science
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• v.32 no.11
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• pp.865-871
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• 2022

Tenebrio molitor larvae is well known as edible insect. Then, although it has been widely studied that Tenebrio molitor larvae has various bioactive functions such as antioxidant, anti-wrinkle, and anticancer. Nevertheless, antioxidant effects of Tenebrio molitor larvae water extract (TMH) has not been well described in Adult Retina Pigment Epithelial cell line (ARPE-19). In this study, we demonstrated that antioxidant effects of TMH against H₂O₂-induced oxidative stress in ARPE-19. Thus, we selected for our studies and performed a series of dose-response assay to determine the working concentration that lead to a consistent and high degree of cytotoxicity, which we defined as the level of H₂O₂ that killed 40% of the ARPE-19 cells. ARPE-19 cells were pre-treated with various concentrations of TMH (0.1 up to 2 mg/ml) before exposure to 300 µM H₂O₂. As we expected, TMH effectively prevented ARPE-19 cells from 300 µM H₂O₂-induced cell death in a dose-dependent manner. Furthermore, TMH inhibited the phosphorylation of mitogen-activated protein kinases (MAPKs) such as extracellular signal regulated kinase (ERK), c-Jun N-terminal kinase (JNK), and p38. Overall, the inhibitory effects of TMH on H₂O₂-induced apoptosis and oxidative stress were associated with the protection cleaved caspase-3, Bax, Bcl-2, and HO-1. The TMH suppressed H₂O₂-induced cell membrane leakage and oxidative stress in ARPE-19 cells. Thus, these results suggest that the TMH plays an important role in antioxidant effect in ARPE-19.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.1
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• pp.17-27
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• 2023

Weeds are one of the factors that reduce crop yield through nutrient and photosynthetic competition. Quantification of weed density are an important part of making accurate decisions for precision weeding. In this study, we tried to quantify the density of weeds in images of maize fields taken by unmanned aerial vehicle (UAV). UAV image data collection took place in maize fields from May 17 to June 4, 2021, when maize was in its early growth stage. UAV images were labeled with pixels from maize and those without and the cropped to be used as the input data of the semantic segmentation network for the maize detection model. We trained a model to separate maize from background using the deep learning segmentation networks DeepLabV3+, U-Net, Linknet, and FPN. All four models showed pixel accuracy of 0.97, and the mIOU score was 0.76 and 0.74 in DeepLabV3+ and U-Net, higher than 0.69 for Linknet and FPN. Weed density was calculated as the difference between the green area classified as ExGR (Excess green-Excess red) and the maize area predicted by the model. Each image evaluated for weed density was recombined to quantify and visualize the distribution and density of weeds in a wide range of maize fields. We propose a method to quantify weed density for accurate weeding by effectively separating weeds, maize, and background from UAV images of maize fields.

• Journal of the Korean Orthopaedic Association
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• v.54 no.1
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• pp.30-36
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• 2019

Purpose: This study examined the effects of gender, age, underlying disease, duration after onset of symptoms, preoperative invasive procedures, bacterial culture of joint fluid, and stage of infection by the Gachter classification on the prognosis of patients with infectious knee arthritis who underwent arthroscopic surgery. Materials and Methods: From June 2014 to December 2016, 51 patients who underwent arthroscopic surgery for infective knee arthritis were enrolled in this study. The average follow-up period was 14.2±2.1 months (range, 12-20 months). The subjects were 27 men (52.9%) and 24 women (47.1%), with an average age of 55.1±17.6 years (range, 13-84 years). A preoperative evaluation of the joint aspiration with a count of more than 50,000 leukocytes and a polymorphonuclear leukocyte count of 95% or more was performed. All patients underwent arthroscopic surgery and postoperative continuous joint irrigation. Results: The initial mean value of the C-reactive protein decreased from 9.55±6.76 mg/dl (range, 1.51-31.06 mg/dl) to a final mean of 0.74±1.26 mg/dl (range, 0.08-6.77 mg/dl); the mean duration of C-reactive protein normalization was 27.6±18.9 days (range, 8-93 days). Among the 51 patients who received arthroscopic surgery and antibiotics, 44 patients (86.3%) with infectious knee arthritis completed treatment with improved clinical symptoms, such as fever, pain, and edema, and the C-reactive protein decreased to less than 0.5 mg/dl. Finally, 5 cases were treated with two or more arthroscopic operations, and 2 cases were converted to arthroplasty after prosthesis of antibiotic-loaded acrylic cement. Conclusion: The duration of surgery after the onset of symptoms and the stage according to the Gächter classification are important prognostic factors for predicting the successful treatment of infectious knee arthritis. On the other hand, the other factors were not statistically significant. Nevertheless, patients with bacteria cultured from the joint fluids appear to reflect the treatment period because the period of normalization of the C-reactive protein is shorter than that of the control group.

• Journal of Popular Narrative
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• v.25 no.2
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• pp.117-167
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• 2019

The aim of this article is to illuminate the Park Yeol(朴烈)·Kaneko Humiko(金子文子) Case from the perspective of performance, by analyzing newspapers published in Colonial Korea. The Park Yeol·Kaneko Humiko Case include the High Treason Incident(大逆事件) case and the mysterious photo(怪寫眞) case that occurred in Tokyo in Imperial Japan from 1923 to 1926. Even though Park Yeol·Kaneko Humiko were individually imprisoned during this period, they proceeded to act shrewdly and preposterously as performers. First, they made the trial itself into an astonishing case by donning traditional Korean clothes and insisting on using the Korean language in Japanese Imperial Court. Second, they caused the judge in charge to accidentally take the so-called 'mysterious photo,' which later led to the collapse of the Japanese cabinet. The newspapers published in Colonial Korea served as unique stage on which Park Yeol and Kaneko Humiko performed. The newspaper articles reported on the public trials as if it were a drama, describing their clothes, look, and dialogue in public court. The news about them was published not as it occurred but in a plotted sequence because of a press ban, consequentially building suspense among readers. Meanwhile, the Korean newspaper editorials pointed out the injustice of the High Treason Incident, breaking down the Japanese judge's opinion. The Park Yeol·Kaneko Humiko Case was a social drama that revealed the disharmony that led to the breakdown of Taisho Democracy and imprinting national resistance in Japan as well as in Korea.

• (The) Research of the performance art and culture
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• no.23
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• pp.185-212
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• 2011

Buddhist dance (seungmu) is a crux and highlight of Korean traditional dance; its aesthetics and technique are extraordinary, and Korean dance's unique style is well expressed. The Buddhist dance, which has been descended, is divided into Han Yeong Suk style, which is designated as Important Intangible Asset Number 27, and Lee Mae Bang style. While the two dances are same one, area is difference and they have unique style because of genealogical difference. However, studies on Buddhist dance so far have focused on single style's dance, or comparison of regional aspects (Han Yeong Suk dance is from Gyeonggi and Lee Mae Bang dance is from Honam area). But, Lee Byeong Ok suggested traditional artist dance is differed by male dance genealogy and female dance (gibang) genealogy dance, and while folk dance has storng tie with region, but artist dance has weak regional tie. Therefore, the purpose of this thesis is to study genealogical character of Buddhist dance's dancing style, clarifying Han Yeong Suk dance is male dance genealogy and Lee Mae Bang dance is gibang dance genealogy. In other words, among three theses that compared Lee Mae Bang and Han Yeong Suk dances, one analyzing movement, one comparing dance of invocation and one comparing traditional ballad, are re-analyzed from genealogical perspective and characteristics are comparatively analzyed. The overall summary of the genealogical attitude of the Han Yeong Suk and Lee Mae Ban dances is; First, Han's dance has masculinity, upwardness, progressiveness, activeness, outgoing character, boldness and grace, which are character of male dance lineage, while Lee's dance shows feminity, downwardness, backwardness, aesthecity, inwardness, delicacy and coquette. Second, the most expressed parts of the attitude of two dances are genealogical character, and then are original and regional characters. Third, two dances have strong genealogical attitude, but also has anti-genealogical attitude since the gender of descendent was changed, in other words Lee Mae Bang was man, and Han Yeong Suk was woman. Fourth, even though the two Buddhist dances have different genealogy and region, they share similarities as traditional dance descended in the same time period, so there are many common features. In other words, the two dances are Korean nation's dance and from same time period, but they should not be mixed, either. Even though they have small differences, they must keep each genealogy and descend to the next generation.

• Journal of Wetlands Research
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• v.25 no.4
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• pp.306-314
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• 2023

Stream sediments are an important component of water quality management because they are receptors of various pollutants such as heavy metals and organic matters emitted from upland sources and can be secondary pollution sources, adversely affecting water environment. To effectively manage the stream sediments, identification of primary sources of sediment contamination and source-associated control strategies will be required. We evaluated the performance of machine learning models in identifying primary sources of sediment contamination based on the physico-chemical properties of stream sediments. A total of 356 stream sediment data sets of 18 quality parameters including 10 heavy metal species(Cd, Cu, Pb, Ni, As, Zn, Cr, Hg, Li, and Al), 3 soil parameters(clay, silt, and sand fractions), and 5 water quality parameters(water content, loss on ignition, total organic carbon, total nitrogen, and total phosphorous) were collected near abandoned metal mines and industrial complexes across the four major river basins in Korea. Two machine learning algorithms, linear discriminant analysis (LDA) and support vector machine (SVM) classifiers were used to classify the sediments into four cases of different combinations of the sampling period and locations (i.e., mine in dry season, mine in wet season, industrial complex in dry season, and　industrial complex in wet season). Both models showed good performance in the classification, with SVM outperformed LDA; the accuracy values of LDA and SVM were 79.5% and 88.1%, respectively. An SVM ensemble model was used for multi-label classification of the multiple contamination sources inlcuding landuses in the upland areas within 1 km radius from the sampling sites. The results showed that the multi-label classifier was comparable performance with sinlgle-label SVM in classifying mines and industrial complexes, but was less accurate in classifying dominant land uses (50~60%). The poor performance of the multi-label SVM is likely due to the overfitting caused by small data sets compared to the complexity of the model. A larger data set might increase the performance of the machine learning models in identifying contamination sources.