• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.93-102
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• 2022

The purpose of this study is a descriptive research study conducted to investigate college life adaptation, self-directed learning, and career identity in the COVID-19 crisis situation, and to identify factors affecting career identity. The subjects of this study and data collection were from September 1 to October 31, 2021, with 197 nursing students enrolled in two universities in D and C cities. As a result of the study, the factors affecting career identity were adaptation to college life and the number of meetings with academic advisors, and It's explanatory power was 37%. Therefore, in order to improve the career identity of nursing students in the COVID-19 crisis, it is necessary to develop and apply a program to promote college life adaptation, and it is necessary for professors to build a support system through continuous encounters with students.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.201-206
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• 2022

This study is a study that provides basic data and direction related to the cultural city policy of Wanju-gun. The goal of this study is to provide policy implications by analyzing domestic and overseas cases that have succeeded in cultural city policy based on case documents. This study consists of the instruction of Chapter 1, the review of cultural city policies in Chapter 2, the analysis of domestic cases in Chapter 3, the analysis of overseas cases in Chapter 4, and the conclusion of Chapter 5. Chapter 2, the Cultural City Policy Review, deals with the concept and types of cultural cities, and policy-related development projects. Chapter 3, Domestic Case Analysis, analyzed the Seoul City Urban Renewal Project, Seoul Cheonggyecheon Stream Restoration Project, and Changwon Public Art Project. Chapter 4, Overseas Case Analysis, analyzed the Kanazawa Civic Art Village in Japan, Bant 1929 in Yokohama, Japan, and Zollverein in Germany. Through these cases, we'd like to provide the successful policy direction and basic data of the cultural city of Wanju-gun.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.231-240
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• 2023

Purpose: The purpose of this study is to analyze air quality and carbon emissions in developing countries, particularly Myanmar, and explore the impact of transportation on CO2 emissions during peak hours relative to free-flow conditions. Method: This study conducted a traffic survey in two major cities in Myanmar to quantify carbon dioxide emissions from the transportation sector, using IPCC's tier 1 and tier 2 approaches, with statistical analysis performed using Python 3 and Microsoft Excel for comparative analysis of critical factors in CO2 emissions. Result: The result of this study is an estimate of the vehicle kilometers traveled (VKT) and fuel consumption in Yangon city for the year 2019, based on data from various sources including the Myanmar Statistical data base, YUTRA project survey, and Ministry of Electric and Energy. The study also analyzes the average travel time index (TTI) for the four roads in Yangon, which indicates the impact of congestion on vehicle travel time and CO2 emissions. Overall, the study provides important insights into the transport sector in Yangon city and can be used to inform policies aimed at reducing greenhouse gas emissions and improving traffic conditions. Conclusion: The study concludes that congestion plays a significant role in increasing fuel use and emission levels in the road transport sector in Myanmar. The analysis provides valuable insights into the impact of the sector on the environment and emphasizes the importance of addressing congestion to reduce fuel use and emissions. However, the study's scope is limited to Yangon city and Mandalay city, and some mean values may not accurately represent the entire country and other developing countries.

• Computers and Concrete
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• v.31 no.3
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• pp.185-195
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• 2023

Antalya is located south part of minor Asia, one of the biggest cities in Türkiye. As a result of population growth and vast migration to Antalya, many parts of the city that were not suitable for construction due to its geological conditions have become urban areas, and most of these urban areas are full of poorly engineered buildings. Poor engineering has been combined with unplanned urbanization, that causes utter vulnerability to disasters in Antalya. When an earthquake-prone city, Antalya faces with an earthquake risk, fear arises in society. To overcome this problem, it has become necessary to investigate the building stock, expressed in hundreds of thousands, in a fast and reliable way and then perform an urban transformation to create the perception of structural safety. However, the excessive building stock, labor, and economic problems made the implementation stage challenging and revealed the necessity of finding alternative solutions in the field. The present study presents a novel approach for assessment and model based on a rapid visual inspection method to transform areas under earthquake risk in Türkiye. The approach aimed to rank the interventions for decision-making mechanisms by making comparisons in the scale hierarchy. In the present study, to investigate the proposed approach, over 26,000 buildings were examined in Antalya, which is the fifth largest city in Türkiye that has a population of over 2.5 Million. In the results of the study, the risk classification was defined in the framework of building, block, street, neighborhood, and district scales.

• The korean journal of orthodontics
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• v.53 no.1
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• pp.3-15
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• 2023

Objective: Body dysmorphic disorder (BDD) is a form of obsessive-compulsive disorder that may be negatively associated with the self-image. It might be associated with orthodontic treatment demand and outcome, and therefore is important. Thus, this study was conducted. Methods: The Yale-Brown Obsessive-Compulsive Scale modified for Body Dysmorphic Disorder (BDD-YBOCS) questionnaire was used in 699 orthodontic patients above 12 years of age (222 males, 477 females), at seven clinics in two cities (2020-2021). BDD diagnosis and severity were calculated based on the first 3 items and all 12 items of the questionnaire. The dental health component of the index of orthodontic treatment need (IOTN-DHC) was assessed by orthodontists. Multivariable and bivariable statistical analyses were performed on ordinal and dichotomized BDD diagnoses to assess potentially associated factors (IOTN-DHC, age, sex, marital status, education level, and previous orthodontic consultation) (α = 0.05). Results: IOTN-DHC scores 1-5 were seen in 13.0%, 39.9%, 29.8%, 12.4%, and 4.9% of patients. Age/sex/marital status/education were not associated with IOTN-DHC (p > 0.05). Based on 3-item questionnaire, 17.02% of patients had BDD (14.02% mild). Based on 12-item questionnaire, 2.86% had BDD. BDD was more prevalent or severer in females, married patients, patients with a previous history of orthodontic consultation, and patients with milder IOTN-DHCs (p < 0.05). Conclusions: IOTNDHC was negatively/slightly associated with BDD in orthodontic patients. Being female and married may increase BDD risk.

• Human Ecology Research
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• v.60 no.4
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• pp.484-496
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• 2022

The purpose of this study was implementing the high-school 'Food Safety and Health' curriculum using the workbook, and to evaluate the educational impact on, and satisfaction of student who participated in class. A total of 109 lessons were undertaken in home economics classes by referring to the 'Food Safety and Health' workbook for 1,154 students attending seven high schools located in seven cities and provinces across the Korea. In order to examine the effects of classes by referring to workbooks, pre- and post-evaluations were conducted by devising a questionnaire about dietary behavior associated with food safety, creative problem-solving abilities, community capacities, and social cooperation capacities. The results of the analysis of the collected data from 674 students who participated in the pre- and post-evaluations are as follows. First, according to the results of the paired t-test conducted to examine the effects of using the workbook in classes on dietary behavior, significant positive changes were observed in the dietary behavior related to food safety, creative problem-solving skills, community consciousness, and social cooperation capabilities. Second, as a result of the students' evaluation of classes by referring to the 'Food Safety and Health' workbook, both satisfaction and interest in the class using the workbook were high, and the difficulty level was deemed to be appropriate. Additionally, it was found that the students actively participated in learning activities. The reason for this appears to be that the aforementioned workbook consisted of various student activities such as experiments, practical exercises, and group activities aimed at strengthening the link between life and education, thus enabling increased student participation.

• Journal of Industrial Convergence
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• v.21 no.2
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• pp.53-59
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• 2023

The purpose of this study was to identify the influencing factors on the intention of career choice toward psychiatric nurses among nursing students. The participants were 261 senior nursing students from five schools in D and W metropolitan cities. Data were collected from August 1 to 20, 2019, and analyzed by descriptive statistics, t-test, Pearson Correlation Coefficient, and multiple regression using SPSS 26.0 program. In the multiple regression analysis, age (𝛽=.13, p=.048), satisfaction of mental health nursing practicum (𝛽=.16, p=.035) were significant factors on intention of career choice toward mental nurses with 10.3% of total explanatory power. Therefore, it is necessary to improve the practice satisfaction of nursing students by improving the practice environment and clinical nursing instructors' teaching competence. In addition, an further study was proposed that can identify various variables that affect the career choice of mental health nurses by expanding the subjects.

• Smart Structures and Systems
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• v.31 no.4
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• pp.335-349
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• 2023

Bridges constantly undergo deterioration and damage, the most common ones being concrete damage and exposed rebar. Periodic inspection of bridges to identify damages can aid in their quick remediation. Likewise, identifying components can provide context for damage assessment and help gauge a bridge's state of interaction with its surroundings. Current inspection techniques rely on manual site visits, which can be time-consuming and costly. More recently, robotic inspection assisted by autonomous data analytics based on Computer Vision (CV) and Artificial Intelligence (AI) has been viewed as a suitable alternative to manual inspection because of its efficiency and accuracy. To aid research in this avenue, this study performs a comparative assessment of different architectures, loss functions, and ensembling strategies for the autonomous segmentation of bridge components and damages. The experiments lead to several interesting discoveries. Nested Reg-UNet architecture is found to outperform five other state-of-the-art architectures in both damage and component segmentation tasks. The architecture is built by combining a Nested UNet style dense configuration with a pretrained RegNet encoder. In terms of the mean Intersection over Union (mIoU) metric, the Nested Reg-UNet architecture provides an improvement of 2.86% on the damage segmentation task and 1.66% on the component segmentation task compared to the state-of-the-art UNet architecture. Furthermore, it is demonstrated that incorporating the Lovasz-Softmax loss function to counter class imbalance can boost performance by 3.44% in the component segmentation task over the most employed alternative, weighted Cross Entropy (wCE). Finally, weighted softmax ensembling is found to be quite effective when used synchronously with the Nested Reg-UNet architecture by providing mIoU improvement of 0.74% in the component segmentation task and 1.14% in the damage segmentation task over a single-architecture baseline. Overall, the best mIoU of 92.50% for the component segmentation task and 84.19% for the damage segmentation task validate the feasibility of these techniques for autonomous bridge component and damage segmentation using RGB images.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.80-92
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• 2023

As cities are becoming densely populated, previously unexpected events such as crimes, accidents, and infectious diseases are bound to affect user demands. With a time-series prediction of demand using information with uncertainty, it is impossible to derive reliable results. In particular, the COVID-19 outbreak in early 2020 caused changes in abnormal travel patterns and made it difficult to predict demand for time series. A methodology that accurately predicts demand by detecting and reflecting these changes is, therefore, required. The current study suggests a time series modeling pipeline that automatically detects and predicts abnormal events caused by COVID-19. We expect its wide application in various situations where there is a change in demand due to irregular and abnormal events.

• Journal of Korean Public Health Nursing
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• v.37 no.2
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• pp.247-260
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• 2023

Purpose: The purpose of this study was to gain an in-depth understanding of the characteristics and competencies of practice experienced by public health center nurses(PHNs) during the early response phase of the coronavirus disease 2019(COVID-19) pandemic. Methods: PHNs were recruited from public health centers(PHC) in ten cities in Korea, using purposive sampling. They participated in semi-structured, in-depth interviews from December 21, 2020, to February 18, 2021. The interviews were transcribed verbatim and analyzed using qualitative content analysis. Results: Three themes and nine categories were drawn from the findings. The three themes that emerged from the data analysis were as follows: 'Handling expanding work scope and overwhelming workload beyond prepared competencies, willing to go anywhere.', 'Performing tasks of cooperation and communication required in the disaster management administrative system.', 'Demonstrated proficiency in clinical nursing practices, but recognized the need for further development of leadership and administrative capabilities.' Conclusions: The experiences of the subjects' have implications for the development of content for community nursing education that cultivates basic competencies to respond to real pandemic situations during undergraduate education. It is proposed that it would be necessary to establish a support system for developing specialized competencies in public health nursing.