• Journal of agricultural medicine and community health
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• v.44 no.2
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• pp.82-89
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• 2019

This study was undertaken to determine the seroprevalence and risk factors associated with contracting Lyme disease (LD) among Korean deer farmers. This cross-sectional study devised questionnaire that addressed farm activities, was devised and the blood samples of 516 Korean deer farmers were tested. LD seroprevalence was determined by Western blot test. Fisher's exact test, the chi-squared test, and the chi-squared test for trend analysis were performed to assess the risk associated with LD. Of total 516 study participants recruited, only 12 (2.3%) were seropositive for LD. The result of the study revealed that only deer farmers raising Elk (Cervus Canadensis) were found to be at significantly higher risk of contracting LD than other deer farmers (p=0.033). In addition, a male sex, an age of < 40 years, and those that had raised deer for < 19 years had higher rates of LD infection than their counterparts. Similarly, those that managed livestock sheds, fed deer, processed industry and prepared compost had higher rates of LD infection. In terms of protective factors, those who did not use protective measures such as wear glasses and masks, or protective gloves and aprons, and those that did not disinfect work instruments and did not shower after work had higher rates of LD than those that used protective measures. In conclusion, preventive health strategies should take into account the profiles of deer farmers at greater risk based on considerations of personal, type of work, and the use of personal protective measures.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.3
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• pp.336-343
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• 2019

In order to investigate the density of seasonal incidence of mosquitoes, a vector of infectious diseases in Jeju region, this study collected mosquitoes using a Black light trap (BL) and Biogents' Sentinel 2 Mosquito Trap (BG), dividing the region into cattle sheds, habitats for migratory birds, and the downtown area, twice a month for 9 months from March through November 2018. Then, this study conducted identification and classification and checked for the presence of Flavivirus using reverse transcription polymerase chain reaction (RT-PCR). As for the mosquito population, 1,847 mosquitoes (six genera, 12 species) were collected. The places where most mosquitoes were collected were copses near craft workshops in habitats for migratory birds and Jungang-dong in the Seogwipo downtown area. For the population, Culex pipiens pallens was the dominant species (76.9%), followed by Aedes albopictus (8.9%). Most of the population was collected in June, followed by August and October. This study conducted a RT-PCR test with 1,847 collected mosquitoes, which were divided into 50 pools if they had Flavivirus. All turned out to be negative. However, the results of the investigation show the presence of Culex tritaineniorhychus, Aedes albopictus, and Anopheles sinensis and can be used as a basis for the comprehensive prevention management of mosquitoes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.362-367
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• 2021

This study investigated the effects of brand awareness and perceived price fairness on the purchase intention of masstige brands and the moderating effect of country of advertising (Korea or China) for the Chinese tourists visiting Korea. Along with the luxury image and the reasonable price range of masstige brands, the effect of Korean models matching with the country of masstige brand and Chinese models for Chinese visitors was examined based on the construal level theory. To test the hypotheses, a 2 (brand awareness H/L)×2 (perceived price fairness)×2 (country of model) factorial design was employed. As a result, brand awareness and price fairness perception were found to have positive effects on the purchase intention of masstige brands, and the moderating effect of the country of advertising models was also significant. With Korean models, the effects of brand awareness and price fairness perception on the purchase intention of masstige brands were higher than with Chinese models. This study sheds light on the fact that for Chinese tourists, Korean advertising models are more effective even with the specific signal like price when they perceive psychological distance.

• Journal of Popular Narrative
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• v.27 no.1
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• pp.187-225
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• 2021

This study examines how international song festivals shaped Korean musicians' sense of the world in the 1970s and early 1980s. After the Korean composer, Yi Pongjo, won a top-10 prize at the Yamaha World Popular Song Festival in 1970, an astonishing number of Korean musicians participated in international song festivals held in Japan. Meanwhile, Korean broadcasting companies strengthened their cooperative relationship with Japanese television stations and initiated their own international song festivals in the late 1970s: Munhwa Broadcasting Corporation (MBC)'s Seoul International Song Festival in 1978 and Tongyang Broadcasting Corporation (TBC)'s World Song Festival in 1979. During the first two years of its festival, MBC organized its song contest by collaborating with television stations in Hong Kong, Taiwan, Japan, and the ASEAN countries. However, the World Song Festival was more critically acclaimed because TBC invited renowned musicians from America and European countries, including Yugoslavia, in collaboration with the International Federation of Festival Organizations (FIDOF). Thus, from 1980, FIDOF helped MBC attract composers and singers from Europe and America to their Seoul International Song Festival. This paper sheds light on connections within the popular music arena between South Korea and the outside world during the Cold War-a subject that has been poorly examined.

• Korean Journal of Culture and Social Issue
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• v.28 no.4
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• pp.691-715
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• 2022

In this study, we investigated the relationship between Finsta use and perceived online social support, self-monitoring, and subjective well-being. Furthermore, we investigated whether the number of Instagram accounts mediates the relationship between self-monitoring and perceived online social support. For this reason, To this end, we conducted an online survey of 396 adults in their 20s. Results indicated that the number of Instagram accounts showed a positive correlation with perceived online social support and self-monitoring, but did not show a significant correlation with subjective well-being. Next, it was found that the higher the level of self-monitoring, the higher the probability of using of Finsta. In addition, the number of Instagram accounts was found to partially mediate the relationship between self-monitoring and perceived online social support. In other words, the higher the self-monitoring was associated with, , the more Instagram accounts were, and many Instagram accounts increased the level of perceived online social support. For the first time in Korea, this study confirmed the relationship between Finsta use and perceived online social support, self-monitoring, and subjective well-being., Also, this study was meaningful because itand explored whether self-monitoring leads to perceived online social support through the number of Instagram accounts. In addition, this studyit has social meaning in that it sheds light on how online interactions are connected to the real world.

• The Mathematical Education
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• v.62 no.2
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• pp.175-194
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• 2023

Despite the importance of pattern learning for elementary school students, few studies have investigated in detail the understanding of patterns of lower-grade students. This study aimed to analyze the understanding of patterns of second-grade elementary school students. Since the patterns in the second grade are taught through the unit called Finding Rules, students' understanding of patterns was compared and contrasted before and after they learned the unit. To this end, a written instrument to measure students' understanding of patterns was developed on the basis of previous studies on pattern learning for lower-grade students. A total of 189 students were analyzed. As a result of the study, the overall correct answer rates in the post-test were higher in most items than those in the pre-test, illustrating the positive effect of the specific unit. However, students found it difficult to find rules in which two components would change simultaneously either in geometric or numeric patterns, find patterns that would be similar in structure, represent geometric patterns into numeric patterns, find empty terms in increasing patterns, and reason the specific terms in patterns that can be differently interpreted. Based on these research results, this study sheds light on students' understanding of patterns and suggests implications to improve their understanding.

• The Mathematical Education
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• v.62 no.2
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• pp.289-302
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• 2023

In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.

• The Korean Journal of Physiology and Pharmacology
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• v.27 no.5
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• pp.457-470
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• 2023

The aim of this study was to investigate the role of kinesin superfamily member 15 (KIF15) in nasopharyngeal carcinogenesis (NPC) and explore its underlying mechanisms. We employed various assays, including the CCK-8 assay, flow cytometry, the Transwell and scratch assay, Western blotting, and nude mice transplantation tumor, to investigate the impact of KIF15 on NPC. Our findings demonstrate that KIF15 plays a critical role in the proliferation, apoptosis, migration, and invasion of NPC cells. Furthermore, we discovered that silencing KIF15 inhibits cell proliferation, migration, and invasion while promoting apoptosis, and that KIF15's effect on NPC cell growth is mediated through the PI3K/AKT and P53 signaling pathways. Additionally, we showed that KIF15 promotes nasopharyngeal cancer cell growth in vivo. Our study sheds light on the significance of KIF15 in NPC by revealing that KIF15 knockdown inhibits NPC cell growth through the regulation of AKT-related signaling pathways. These findings suggest that KIF15 represents a promising therapeutic target for the prevention and treatment of NPC.

• Korean small business review
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• v.41 no.1
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• pp.29-51
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• 2019

This study investigates how SMEs' (small and medium-sized enterprises) financing strategies affect firm valuation. Given that information asymmetry is engaged in firm valuation in the stock market, investors interpret the meanings of debt financing depending on how SMEs construct the portfolio of financing strategies (retained earnings vs debt financing), thereby making investment decision. Specifically, given that SMEs' debt financing has two meanings in the market signals, called "benefit" and "cost", this study postulates that firm valuation will be differently made by investors, depending on how they interpret the meanings of debt financing under choice competition between retained earnings and debt financing. In this study, we argue that under choice competition, as a SME's debt proportion increases, the "cost" signal outweighes the "benefit" signal, thereby decreasing firm valuation. Moreover, the effect of such signal can be contingent on the SME's characteristics-firm visibility. These ideas are examined using 363 U.S. SMEs ranging from 1971 to 2010. The fixed-effects models estimating Tobin's q show that under choice competition, a SME's debt proportion has a negative impact on firm valuation and that the firm's high visibility mitigates the effect of "cost" signal. In conclusion, this study sheds new light on how investors' interpretations of SMEs' financing strategies affect firm valuation.

• Korean Journal of Artificial Intelligence
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• v.11 no.2
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• pp.39-44
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• 2023

The creativity of thesis is that the significance of cyber security challenges in blockchain. The variety of enterprises, including those in the medical market, are the targets of cyberattacks. Hospitals and clinics are only two examples of medical facilities that are easy targets for cybercriminals, along with IoT-based medical devices like pacemakers. Cyberattacks in the medical field not only put patients' lives in danger but also have the potential to expose private and sensitive information. Reviewing and looking at the present and historical flaws and vulnerabilities in the blockchain-based IoT and medical institutions' equipment is crucial as they are sensitive, relevant, and of a medical character. This study aims to investigate recent and current weaknesses in medical equipment, of blockchain-based IoT, and institutions. Medical security systems are becoming increasingly crucial in blockchain-based IoT medical devices and digital adoption more broadly. It is gaining importance as a standalone medical device. Currently the use of software in medical market is growing exponentially and many countries have already set guidelines for quality control. The achievements of the thesis are medical equipment of blockchain-based IoT no longer exist in a vacuum, thanks to technical improvements and the emergence of electronic health records (EHRs). Increased EHR use among providers, as well as the demand for integration and connection technologies to improve clinical workflow, patient care solutions, and overall hospital operations, will fuel significant growth in the blockchain-based IoT market for linked medical devices. The need for blockchain technology and IoT-based medical device to enhance their health IT infrastructure and design and development techniques will only get louder in the future. Blockchain technology will be essential in the future of cybersecurity, because blockchain technology can be significantly improved with the cybersecurity adoption of IoT devices, i.e., via remote monitoring, reducing waiting time for emergency rooms, track assets, etc. This paper sheds the light on the benefits of the blockchain-based IoT market.