The Journal of the Convergence on Culture Technology
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v.9
no.2
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pp.493-502
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2023
The development of online content is changing the value of society very diversely and rapidly. In particular, the non-face-to-face e-sports industry is growing significantly in the current situation where the COVID-19 Pandemic has not been completely overcome. The use of NFT in the eSports industry is receiving positive reviews as a field with high potential for future growth that protects digital assets of eSports users, but at the same time, it is raising concerns that cash transactions of digital items could encourage gambling. In this study, the characteristics of the recent eSports industry and NFT were identified and classified through case studies using literature, official sites, and online news articles. Through various cases of eSports and NFT, we discussed the potential for future growth and activation plan of the NFT industry of eSports. The result is as follows. First, it is necessary to use NFT using IP of eSports event itself. Second, it is necessary to combine the functional role of the item with NFT to provide features that users can utilize. Third, it is necessary to provide users with opportunities to engage in economic activities using eSports and NFT. Finally, it is necessary to use NFT to strengthen the digital asset protection of eSports users. Through this study, it is expected to be used as a basis for further discussions on the NFT industry of e-sports and as a material for securing competitiveness.
This study provides a prospect for the fast growing the smartwatch market by investigating the relationship between the satisfaction and the continuous use intention of Apple watch users, as well as the factors influencing their satisfaction. Based on the TAM, this study uses system quality, information quality, and self-efficacy as independent variables, perceived usefulness, perceived ease of use, and satisfaction as mediators, and continuous use intention as the dependent variable. We analyze the data of 256 individuals who completed an online survey with SPSS 26.0 and AMOS 26.0 software. This study conducts several tests and analyses to empirically evaluate the data including reliability analysis, factor analysis, feasibility analysis, path analysis, hypothesis verification, and mediation analysis. Our results investigate which factors may influence consumers' intention to continuously using Apple Watch devices in the future. In summary, satisfaction has a positive effect on the intention to continuously use smartwatchs. Perceived usefulness and perceived ease of use have a positive effect on satisfaction. Among the three factors (system quality, information quality, and self-efficacy), only self-efficacy has no significant impact on perceived usefulness but had a positive effect on perceived ease of use. In addition, system quality and information quality positively affect perceived usefulness, perceived ease of use, satisfaction, and continuous intention to use an Apple Watch. Taking the Apple Watch as the subject of our research topic, this study provides theoretical value by exploring the impact of user's satisfaction with their smartwatch on their continuous usage intention. This study further explains the influence of system quality, information quality, and self-efficacy on user satisfaction. Additionally, this research offers valuable insight to practitioners by confirming that information quality, system quality, and self-efficacy are important features for enhancing satisfactory user experiences which in turn may increase users' intention to continued using smartwatches.
As the transaction volume of the C2C second-hand market is growing, the number of frauds, which intend to earn unfair gains by sending products different from specified ones or not sending them to buyers, is also increasing. This study explores the model that can identify frauds in the online C2C second-hand market by examining the postings for transactions. For this goal, this study collected 145,536 field data from actual C2C second-hand market. Then, the model is built with the characteristics from postings such as the topic and the linguistic characteristics of the product description, and the characteristics of products, postings, sellers, and transactions. The constructed model is then trained by the machine learning algorithm XGBoost. The final analysis results show that fraudulent postings have less information, which is also less specific, fewer nouns and images, a higher ratio of the number and white space, and a shorter length than genuine postings do. Also, while the genuine postings are focused on the product information for nouns, delivery information for verbs, and actions for adjectives, the fraudulent postings did not show those characteristics. This study shows that the various features can be extracted from postings written in C2C second-hand transactions and be used to construct an effective model for frauds. The proposed model can be also considered and applied for the other C2C platforms. Overall, the model proposed in this study can be expected to have positive effects on suppressing and preventing fraudulent behavior in online C2C markets.
Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.
The oldest and most extensively cultivated form of millet, known as pearl millet (Pennisetum glaucum (L.) R. Br. Syn. Pennisetum americanum (L.) Leeke), is raised over 312.00 lakh hectares in Asian and African countries. India is regarded as the significant hotspot for pearl millet diversity. In the Indian state of Haryana, where pearl millet is grown, a new and catastrophic bacterial disease known as stem rot of pearl millet spurred by the bacterium Klebsiella aerogenes (formerly Enterobacter) was first observed during fall 2018. The disease appears in form of small to long streaks on leaves, lesions on stem, and slimy rot appearance of stem. The associated bacterium showed close resemblance to Klebsiella aerogenes that was confirmed by a molecular evaluation based on 16S rDNA and gyrA gene nucleotide sequences. The isolates were also identified to be Klebsiella aerogenes based on biochemical assays, where Klebsiella isolates differed in D-trehalose and succinate alkalisation tests. During fall 2021-2023, the disease has spread all the pearl millet-growing districts of the state, extending up to 70% disease incidence in the affected fields. The disease is causing considering grain as well as fodder losses. The proposed scale, consisting of six levels (0-5), is developed where scores 0, 1, 2, 3, 4, and 5 have been categorized as highly resistant, resistant, moderately resistant, moderately susceptible, susceptible, and highly susceptible disease reaction, respectively. The disease cycle, survival of pathogen, and possible losses have also been studied to understand other features of the disease.
Invasive species are organisms that are introduced into places outside of their natural distribution range. The global pet trade is facilitating the introduction of invasive species into new countries and areas. Among the introduced alien species, turtles are one of the most common animal groups whether lives in wetland ecosystems, such as wetlands or reservoirs. Like other countries around the world, exotic turtles is becoming a growing concern for the wetland ecosystem in South Korea. In this study, we report new reports of subspecies of Painted turtle (Chrysemysspp.): Chrysemys picta marginata, C. p. bellii and C. dorsalis, from the reservoirs in downtown Cheongju and Gwangju, South Korea. We used morphological features, such as the characteristics of the legs, plastron, and carapace, to identify the turtles. It is assumed that all turtles were artificially released into nature. Considering the increasing number of reports on the introduction of alien invasive turtles in Korean wetlands, we recommend the formulation of an immediate and systematic management plan for pet trades and organized continuous monitoring programs.
The Journal of Learner-Centered Curriculum and Instruction (JLCCI)
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v.22
no.2
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pp.267-317
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2018
Local opposition against the construction of solar power facilities is a growing social issue in the context of renewable energy expansion in Korea. Local opposition, despite solar power generation being an environmentally-friendly and safe energy source, is an issue that requires diagnosis. This study examined the features of opposition against the location of small scale solar power panels developed in rural areas and draws policy suggestions to increase local acceptance. Four cases representing local conflicts have been selected from the period starting in December 2017 to March 2018 in Okcheongun, Chungbuk Province. In order to analyze those cases, a total of 38 local residents and stakeholders were interviewed. This study analyzes the reason of opposition against renewable energy development in their neighborhood based on the place attachment theory. As a result, the grounds of opposition are specifically found in three place attachment dimensions: place identity and place dependence in personal contexts; shared history, self-governing and membership, economic concerns and political concerns in community contexts; identity from nature, experiences of management on nature, environmental consequences in natural contexts. This study suggests policy implications for increasing local acceptance such as the resolution of technological concerns, a local participation system, adequate compensation measures and harmony with the surrounding landscape.
As global challenges, particularly climate change, become more pressing, there is a growing global awareness of Environmental, Social, and Governance (ESG) management. Given the crucial role played by the logistics industry in the complex network of the global supply chain, various societal stakeholders are emphasizing the necessity for logistics entities to practice ESG management. Despite the comprehensive ESG guidelines established by Korea for all enterprises, a notable limitation arises from its inadequate consideration of the distinctive features inherent to logistics enterprises, especially those of a smaller and medium scale. Accordingly, this study conducts a thorough examination of existing ESG guidelines, sustainable management approaches in large-scale logistics enterprises, and prior research to identify potential ESG management diagnostic criteria relevant to small and medium-sized logistics enterprises, including aspects such as Public(P), Environmental(E), Social(S), and Governance(G). To streamline the diagnostic criteria, taking into account the unique characteristics of small and medium-sized logistics enterprises, this study conducts a survey involving 60 logistics company personnel and experts from academic and research domains. The collected data undergoes Principal Component Analysis (PCA), revealing that the four dimensions of information disclosure can be consolidated into a single dimension. Additionally, environmental criteria reduce from 16 to 3 items, societal considerations decrease from 22 to 7 items, and governance structures distill from 20 to 5 items. This empirical endeavor is deemed significant in presenting tailored ESG management diagnostic criteria aligned with the specificities of small and medium-sized logistics enterprises. The findings of this study are expected to serve as a foundational resource for the development of guidelines by relevant entities, promoting the wider adoption of ESG management practices in the sphere of small and medium-sized logistics enterprises in the near future. population coming from areas other than Gwangyang, where Gwangyang Port is located.
Journal of the Korean Institute of Landscape Architecture
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v.38
no.2
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pp.94-108
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2010
The purpose of this study is to provide data for the restoration of 'Yongyun(龍淵)' and 'Hwahongmun(華虹門)' through an investigation of the vicinity of their original landscapes at the time of construction of Hwaseong in Suwon and through tracing the transformative process of the environments of this vicinity. The results are as follows; As identified by 'Yongyunjung(龍淵亭)' and 'Yongdugak(龍頭閣)', other names of Yongyun, 'Banghwasuryujung(訪花隨柳亭)', which was built on 'Yongduam', is a facility whose place identity is highlighted with a sense of unity with Yongyun. The south lakefront of Yongyun, bordering Banghwasuryujung, has boundaries that make the best use of the natural geographical features of Yongduam while the current circumference of Yongyun is comparatively shorter than its original state. The size of 'Joongdo(中島)', however, seems to be an example of apparent over-design complement and reorganize 'Joongdo', which had been restored larger than its original state at the time of restoration in the 1970s. The depth of 'Yongyun' was created to be lower than the actual depth, without consideration for its initial depth, as soil was accumulated through continuous flooding after it was created. It is assumed that the original drains which were installed about 10m inside the lake were created facing the stream. As regards the planting environment, a circular planting of willows was made in the outskirts of 'Yongyun', except the 'Yongduam' which is a pure forest, and a mix of 'Pinus densiflora', shrubbery and deciduous broad leaf trees was planted in 'Joongdo'. Of the plants growing in the area of this study, plant species introduced to Korea after Hwaseong was constructed are found, most of which provide interest and attraction. The old pine trees growing in a group once grew in the castle areas of the vicinity even in the 1920s, the period of Japanese occupation, but they disappeared from the area in the aftermath of subsequent urban development and the Korean War. Although restored to the site, the number and space taken up by these trees are insignificant compared to those of the original environment. On the basis of these results, the following is considered necessary for the true restoration of the vicinity of 'Yongyun' and 'Hwahongmun': First, the grounds of 'Yongyun' should be dredged deeply enough to expose the bedrock and should be recreated in the rough outline of a half moon by extension to the southwest toward 'Yongduam' and 'Hwahongmun', and the size of 'Joongdo' should be significantly reduced. Secondly, considering that most plant species, except the pine trees and wild trees in 'Yongduam', are non-native plants introduced in order to provide such attractions such as the appreciation of scenic areas, they should be replaced with native species, mainly with the pine trees which were utilized during the construction of Hwaseong. The weeping willows planted in the 'middle-island' should be relocated to the outskirts of 'Yongyun', and replaced with pine trees as the major trees and maple trees or deciduous broadleaf trees to fill in the gaps. Thirdly, exotic species such as the 'Pinus rigida' planted in a group around 'Banghwasuryujung' and 'Bugammun' and 'Pinus strobus' planted in the vicinity of Hwahongmun' should be removed.
In this research, we have analyzed the impact factors on the bone mineral density thru the examination of bone density difference in the entire femur, femoral neck and lumbar of adult women before the menopause in accordance with the general features, lifestyle, eating habits, health and body composition. The survey was conducted among adult women before the menopause and older than 30 years based on the data of the National Health and Nutrition Examination Survey carried out in the 4th term (2008-2009) and 5th term (2010-2011) and we would like to provide the research results for the establishment of recommendations or guidelines for the treatment of adult women before the menopause with regard to the impact factors on the bone mineral density and for the development of health education materials for the accurate measurement of bone mineral density of young women in order to prevent the postmenopausal osteoporosis. With respect to the general features of adult women before the menopause, the bone mineral density was higher in the entire femur at age 40-44, femoral neck at 35-39, in high-school education level, in the earlier menarche group, without smoking experiences, with regular walking time and exercise frequency and with the habits of eating no hamburger or pizza. With regard to the body composition, the bone mineral density was higher in obesity and lower in underweight cases, higher among people with abdominal obesity and weight control experiences. In terms of total body fat ratio, total amount of fat and muscle, the bone mineral density got gradually increased from the 1st quarter (Q1) to the 4th quarter(Q4). The obesity, disease, total amount of fat and muscle were shown to be significantly related with the bone mineral density in this research and it is required for young women to keep the adequate weight and the normal BMI in order to increase the bone mineral density. For the prevention of osteoporosis, it is advised to keep the right habits including regular exercise and no smoking discipline from the growing period and achieve the maximum bone mass thru the control of proper weight from a young age.
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