• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.111-121
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• 2024

With strength training comes the risk of injury and the benefits of exercise. Lack of knowledge and experience or repetitions at excessive intensity can lead to injury. Adequate feedback on an exercise's progress can increase the exercise's effectiveness and reduce injuries by providing scientific data and psychological motivation. This study aimed to validate EMG equipment and examine the effects of 8 weeks of biofeedback training with wireless electromyography. A correlation analysis between the Noraxon device and Fitsig^®(EMG Prototype), a well-known instrument in the field of research, showed a moderate correlation. Statistically significant differences in humeral circumference, humeral muscle mass, and biceps and triceps strength were found between the left and right sides of the body over time, with no differences in the type of exercise. Feedback training with real-time EMG was found to be favorable for hypertrophic growth and strength improvement. Future studies should be conducted to investigate its application in sports activities further.

• Information Systems Review
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• v.19 no.1
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• pp.1-23
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• 2017

Since the development of information communication technologies, social networking sites (SNSs) have been diffused to the world with benefits such as building and maintaining relationships among people. SNSs have become more popular with the development of mobile devices. Despite this advantage, SNSs also present unexpected effects on people, such as cyberbullying and identity theft. Cyberbullying has emerged as one of the most serious issues among people who use SNSs. In fact, almost 20% of teenagers confessed that they have been cyberbullied on SNSs. In consideration of this serious social issue, this study investigates the influences of self-disclosure and self-control on the cyberbullying victimization experience from the perspective of Social Exchange Theory. Self-disclosure is a basic characteristic of SNSs. It is classified into self-disclosure for access to SNS and self-disclosure for relationship building and maintaining on SNSs. The cyberbullying victimization experience is classified into being cyber-excluded and being cyber-attacked. We examine how two types of self-disclosure and self-control affect two types of cyberbullying victimization experience based on the survey data of people who are in their 20s and are greatly familiar with SNSs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.41-55
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• 2023

In order to secure sustainable competitiveness of startups, business model innovation is an important task to achieve competitive advantage by transforming the various elements that make up the business model. This study conducted a multi-case analysis study on leading smart farm companies around the world using an analysis framework based on business model theory. Through this, we sought to identify business model types and their constituent elements. For this, 19 companies were selected from the list of top 10 investment startups of the year for the past three years published by Agfunder, a global investment research company specializing in AgTech. Then data collection and analysis of the company cases were conducted according to the case study protocol. As a result of the study, the business model types were analyzed into four types: large-scale centralized production model, medium-to-large local distributed production model, small-scale hyperlocal modular FaaS model, and small-scale hyperlocal turnkey solution supply model. A comparative analysis was conducted on five business model components for each type, and strategic implications were derived through this. This study is expected to contribute to improving the competitiveness of domestic smart farm startups and diversifying their strategies by identifying the business models of overseas leading companies in the smart farm field using an academic analysis framework.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.517-524
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• 2024

This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.

• Journal of Cardiovascular Imaging
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• v.31 no.3
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• pp.125-132
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• 2023

BACKGROUND: There is limited data on the residual echocardiographic findings including strain analysis among post-coronavirus disease (COVID) patients. The aim of our study is to prospectively phenotype post-COVID patients. METHODS: All patients discharged following acute COVID infection were systematically followed in the post-COVID-19 Recovery Clinic at Vancouver General Hospital and St. Paul's Hospital. At 4-18 weeks post diagnosis, patients underwent comprehensive echocardiographic assessment. Left ventricular ejection fraction (LVEF) was assessed by 3D, 2D Biplane Simpson's, or visual estimate. LV global longitudinal strain (GLS) was measured using a vendor-independent 2D speckle-tracking software (TomTec). RESULTS: A total of 127 patients (53% female, mean age 58 years) were included in our analyses. At baseline, cardiac conditions were present in 58% of the patients (15% coronary artery disease, 4% heart failure, 44% hypertension, 10% atrial fibrillation) while the remainder were free of cardiac conditions. COVID-19 serious complications were present in 79% of the patients (76% pneumonia, 37% intensive care unit admission, 21% intubation, 1% myocarditis). Normal LVEF was seen in 96% of the cohort and 97% had normal right ventricular systolic function. A high proportion (53%) had abnormal LV GLS defined as < 18%. Average LV GLS of septal and inferior segments were lower compared to that of other segments. Among patients without pre-existing cardiac conditions, LVEF was abnormal in only 1.9%, but LV GLS was abnormal in 46% of the patients. CONCLUSIONS: Most post-COVID patients had normal LVEF at 4-18 weeks post diagnosis, but over half had abnormal LV GLS.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.68 no.4
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• pp.343-370
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• 2023

Developing improved wheat varieties is vital for global food security to meet the rising demand for food. Therefore, assessing the genetic diversity across wheat genotypes is crucial. This study examined the diversity of 168 durum wheat and 47 common wheat collections from 54 different countries using twelve agro-morphological parameters. Geumgang, a prominent Korean common wheat variety, was used as a control. Both qualitative and quantitative agronomical characteristics showed wide variations. Most durum wheats were shown to possess dense spikes (90%), while common wheats showed dense (40%) or loose (38%) spikes, with yellowish-white being the dominant spike color. The majority of the accessions were awned regardless of wheat type, yellowish-white being the main awn color. White or red kernels were produced, with white kernels dominating in both common (74%) and durum (79%) wheats. Days to heading (DH) and days to maturity (DM) were in the ranges of 166-215 and 208-250 days, respectively, while the culm length (CL), spike length (SL), and awn length (AL) were in the ranges of 53.67-163, 5.33-18.67, and 0.50-19.00 cm, respectively. Durum wheats possessed the shortest average DH, DM, and SL, while common wheat had the longest CL and AL (p < 0.05). Common wheats also exhibited the highest average one-thousand-kernel weight. Hierarchical cluster analysis, aided by principal component analysis, grouped the population into seven clusters with significant differences in their quantitative variables (p < 0.05). In conclusion, this research revealed diversity among common and durum wheat genotypes. Notably, 26 durum wheat and 17 common wheat accessions outperformed the control, offering the potential for developing early-maturing, high-yielding, and lodging-resistant wheat varieties.

• Phonetics and Speech Sciences
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• v.16 no.2
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• pp.71-81
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• 2024

This study investigated the perceptions of military personnel toward stuttering and persons who stutter (PWS) using the Public Opinion Survey of Human Attributes of -Stuttering (POSHA-S). A total of 67 military personnel participated in the study (male: 58, female: 9, commissioned officers: 11, non-commissioned officers: 56, with an average age of 31.9 years and a standard deviation of 8.7), and the collected data were analyzed according to the guidelines provided by St. Louis. To compare the perceptions of military personnel toward stuttering and PWS, percentile ranks (%iles) relative to the global POSHA-S database, which were constructed from responses from a total of 20,941 participants from various cultural regions, countries, and groups (as of June 2023), were retrieved. Results showed that the overall stuttering score for military personnel was 7, corresponding to the 14 percentile in the POSHA-S database. In addition, the sub-score for ' self-reactions to PWS' was -11 (8 percentile in the POSHA-S database). These results revealed that military personnel hold more negative attitudes toward stuttering and PWS, overall. These findings emphasized the importance of addressing the lack of accurate information among military personnel, suggesting a need for educational programs mainly aimed at improving the understanding of stuttering and PWS within the military.

• Journal of Korean Home Economics Education Association
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• v.35 no.3
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• pp.169-190
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• 2023

Uzbekistan, one of the top five cotton-producing countries in the world, primarily focuses its textile and fashion industry on raw cotton exports and the sewing industry. For Uzbekistan to achieve high added value, it is essential for the textile and fashion industry, which is currently at the CMT(cut, make, and trim) stage, to upgrade to OEM (original equipment manufacturing), ODM (original design manufacturing), and OBM (original brand manufacturing). South Korea recognizes Uzbekistan as a potential manufacturing base and trading partner and has invested Official Development Assistance (ODA) funds for the development of Uzbekistan's textiles and apparel sector. This study aims to evaluate Uzbekistan's fashion higher education in the context of global competitiveness and measure the need and prospects for education ODA from the Korean government in this field. Comprehensive investigations, including surveys of academics, industry experts, and government officials, in-depth interviews, and focus group interviews, were conducted to understand Uzbekistan's current fashion education environment. According to the research results, despite the textile and fashion sectors playing a pivotal role in the Uzbek economy, there is room for improvement in the curricula and teaching and learning methods of the fashion higher education programs. This study holds significance as foundational data for establishing education ODA strategies.

• Convergence Security Journal
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• v.24 no.3
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• pp.231-237
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• 2024

The rapid aging of the global population poses significant challenges to public health systems, as it often correlates with various physical, cognitive, and social declines among the elderly. Traditional approaches to promoting healthy aging emphasize the importance of physical activity, mental engagement, and social connectivity. However, factors such as mobility issues and resource constraints can limit the accessibility and effectiveness of these approaches. Digital fitness technologies, including wearable devices, mobile applications, virtual reality platforms, and AI-based feedback systems, present innovative solutions with the potential to enhance the physical, cognitive, and social well-being of older adults. This study analyzes the latest trends in digital fitness technologies and proposes strategies for effective utilization in promoting well-aging. Specifically, it addresses the need for improved technology accessibility through affordable devices and user-friendly interfaces, the development of personalized fitness programs, strategies to enhance ongoing participation such as social interaction and gamification, and solutions for data protection and ethical issues. Effective implementation of these strategies is expected to significantly improve the health and well-being of older adults. Future research and policy development should incorporate these elements to maximize the impact of digital fitness technologies and enhance the overall quality of life for the elderly.

• Korean Journal of Agricultural and Forest Meteorology
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• v.26 no.3
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• pp.175-190
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• 2024

In order to project changes in climate zones across the Korean Peninsula, the Trewartha's climate classification was applied to the SSP-RCP scenario data with a 1km resolution produced by the National Institute of Agricultural Sciences of the Rural Development Administration. Currently, most of the Korean Peninsula (92.3%) belongs to the temperate climate type (D), whereas only some areas (4.9%), such as Jeju Island, belongs to the subtropical climate type (C). According to SSP-RCP scenarios, the temperature is expected to gradually increase due to the influence of global warming during the 21st century, and the subtropical climate type is expected to expand to 14.1 to 48.6% of the total area of the Korean Peninsula in the far future. On the other hand, the temperate zone, which is currently most dominant on the Korean Peninsula, is expected to shrink by 85.8 to 51.4% in the late 21st century. If carbon dioxide emissions continue at the current rate, the entire Korean Peninsula will likely be dominated by subtropical and temperate regions in the distant future. In particular, the subtropical climate type is expected to dominate most of South Korea in the high-carbon scenario, except for highlands.