• Journal of Sport and Applied Science
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• v.5 no.2
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• pp.55-61
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• 2021

Purpose: This study aims to obtain basic data for conceptual establishment of sports participation and perceived benefits by considering prior research on the effects of sports participation to derive variables for perceived benefits of sports participants. Research design, data, and methodology: This study used an integrated literature review. A conceptual model is designed with reference to a prior study by adopting a guiding theory. Based on the key words. The literature collection was conducted online, and the reference period for the literature collection was for studies published between 2015 and 2020. Results: First, a total of seven related variables were derived from the literature analysis related to sports participation and physical benefits. Second, a total of six variables were derived from the literature analysis related to sports participation and mental benefits. Third, a total of four related variables were derived through a literature analysis related to sports participation and social benefits. Conclusions: Health fitness, objectified body consciousness, and social body shape anxiety, including body composition, approach physical benefits among perceived benefits through sports participation, and physical self-efficacy and physical self-concepts are related to physical benefits but are also shown to be related to mental benefits. And successful aging is seen to be close to social benefits and related to some mental benefits. Mental and social benefits can be seen as the variables derived from the results being related to the benefits, and more in-depth exploration of perceived benefits is needed.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.763-778
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• 2021

The study aims to analyze the mixed characteristics of knit fashion design as demonstrated in Sacai's collection, which promotes hybrid and mesh-up fusion and proposes various knit design ideas. Standards for categorizing mixed phenomena of Sacai's knit design were established through a review of literature and data analysis. The study's data collection period was from 2012 to 2021, and a total of 174 items were analyzed. The following are the results. First is the fusion of traditional knit and contemporary styles expressed through de-constructive design; traditional knit styles are combined with contemporary styles through color, material, and knitting structure mixtures, such as mixing Northern European Aran, Fair Isle, Nordic, and Ropy knit. Second, the Sakai knit design combines male and female styles by mixing materials and details. A deconstructed knit cardigan was matched with androcentric pin-striped shirts worn over layered shirring skirts embellished with chiffon and lace. Third, everyday street fashion style is blended with a formal, elegant fashion style. For example, the front view has a typical everyday appearance, whereas the back view contains florid and decorated details. The style is expressed as a 360-degrees appellation, with one thing in the front and another in the back. Sacai's distinctive expressional characteristics include a mixed and de-constructive style characterized by unexpected design.

• Journal of Korean Biological Nursing Science
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• v.26 no.2
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• pp.154-162
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• 2024

Purpose: This study investigated the performance of patient safety activities among hospital nurses and aimed to identify the factors influencing their performance of these activities. Methods: It employed a descriptive survey design, targeting 131 nurses currently working in hospitals. The data collection involved posting a guide to the study on an online social network for nurses (NURSECAPE) and recruiting nurses who understood the content and agreed to participate in the survey. The survey was conducted through a self-reporting method via a URL provided to research participants, and the data collection period was from August 11 to September 11, 2019. Results: The results revealed that 46.6% of the participants had experienced patient safety incidents, with falls being the most common. The factors influencing the performance of patient safety nursing activities among the participants were found to be the type of medical institution, community orientation, and environmental suitability in organizational health. These factors explained 38.5% of the variance. Conclusion: Based on these findings, it appears crucial to explore strategies for improving organizational health tailored to the characteristics of each hospital to facilitate better performance of patient safety activities among hospital nurses. Furthermore, subsequent studies are needed to objectively evaluate the adequacy of patient safety activity performance according to the size of the hospital.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.30-37
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• 2022

Because fine dust (PM10) has a close effect on the environment, fine dust generated in the climate and living environment has a bad effect on the human body. In this study, the LSTM model was applied to predict and analyze the effect of fine dust on Gwangju Metropolitan City in Korea. This paper uses prediction values of input variables selected through correlation analysis to confirm fine dust prediction performance. In this paper, data from the Gwangju Metropolitan City area were collected to measure fine dust. The collection period is one year's worth of data was used from january to December of 2021, and the test data was conducted using three-month data from January to March of 2022. As a result of this study, in the as a result of predicting fine dust (PH10) and ultrafine dust (PH2.5) using the LSTM model, the RMSE was 4.61 and the test result value was as low as 4.37. This reason is judged to be the result of the contents of the one-year sample.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.1-7
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• 2023

Since the first outbreak of COVID-19 in 2019, it has caused a huge blow to the restaurant industry. However, as social distancing was lifted as of April 2022, the restaurant industry gradually recovered, and as a result, interest in restaurant start-ups increased. Therefore, in this paper, big data analysis was conducted by selecting "restaurant start-up" as a key keyword through social media big data analysis using Textom and then conducting word frequency and CONCOR analysis. The collection period of keywords was selected from May 1, 2022 to May 23, 2023, after the lifting of social distancing due to COVID-19, and based on the analysis, the development of a restaurant start-up consulting chatbot service is proposed.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.44-46
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• 2020

Aggregating data with an optimal delay, which is a critical problem in Wireless Sensor Networks applications, is proven as NP-hard. In this paper, we focus on optimizing the aggregation delay by presenting an idea for channel and timeslot co-scheduling data aggregation in MWSNs. The proposed scheme, which names Break and Join, maximizes the number of sensor nodes to be scheduled in a working period, so that the overall number of working periods and data collection delay are reduced.

• Journal of Navigation and Port Research
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• v.48 no.3
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• pp.164-170
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• 2024

The light buoy, a floating structure at sea, is prone to drifting due to external factors such as oceanic weather. This makes it imperative to monitor for any loss or displacement of buoys. In order to address this issue, the Ministry of Oceans and Fisheries aims to issue alerts for buoy displacement by analyzing historical buoy position data to detect patterns. However, periodic lifting inspections, which are conducted every two years, disrupt the buoy's location pattern. As a result, new patterns need to be analyzed after each inspection for location monitoring. In this study, buoy position data from various periods were analyzed using convex hull and distance-based clustering algorithms. In addition, the optimal data collection period was identified in order to accurately recognize buoy location patterns. The findings suggest that a nine-week data collection period established stable location patterns, explaining approximately 89.8% of the variance in location data. These results can improve the management of light buoys based on location patterns and aid in the effective monitoring and early detection of buoy displacement.

• Journal of Information Science Theory and Practice
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• v.8 no.3
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• pp.77-90
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• 2020

This study analyzes N=181 social media rumors from Bangladesh to find out the most popular themes, sources, and aims. The result shows that social media rumors have seven popular themes: political, health & education, crime & human rights, religious, religiopolitical, entertainment, and other. Also, online media and mainstream media are the two main sources of social media rumors, along with three tentative aims: positive, negative, and unknown. A few major findings of this research are: Political rumors dominate social media, but its percentage is decreasing, while religion-related rumors are increasing; most of the social media rumors are negative and emerge from online media, and social media itself is the dominant online source of social media rumors; and, most of the health-related rumors are negative and surge during a crisis period, such as the COVID-19 pandemic. This paper identifies some of its limitations with the data collection period, data source, and data analysis. Providing a few research directions, this study also elucidates the contributions of its results in academia and policymaking.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.4
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• pp.33-39
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• 2023

Purpose: The purpose of this study is that the college age is an important transition period from youth to adulthood. Nursing students are unfamiliar with their field of study and need to adapt to a large amount of academic and practical training, so that they can have a better college life. An attempt was made to determine the effect of exam anxiety, academic stress, and alcohol dependence on the academic achievement of nursing students. Research design, data, and methodology: The subjects of the study were 130 students from all grades who agreed to participate in the study after expressing convenience among students attending the Department of Nursing at a university in Gyeongnam. The data collection period was from August 15 to September 15, 2023. It was about a month. The data investigation was conducted through a self-report survey. Results: Results showed that significant variables included exam anxiety, academic stress, alcohol dependency, parent relationships, peer relationships, and major satisfaction, explaining a total variance of 31.9%. Among these, the most influential factor was academic stress (β=-.352). Conclusions: This study identify factors influencing the academic achievement of nursing college students and hopes to contribute to formulating strategies for their growth and competence development.