• Imaging Science in Dentistry
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• v.53 no.3
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• pp.177-191
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• 2023

Purpose: This systematic review examined the detection of the posterior superior alveolar artery, along with various anatomic characteristics, on cone-beam computed tomography images. Materials and Methods: Studies were identified electronically through the Web of Science, MEDLINE, Scopus, and Embase databases. The quality of the included studies was evaluated using a 5-item binary scale. The detection rate, location, and classified diameter of the posterior superior alveolar artery were estimated as prevalence values. The diameter of this artery, as well as the distances from the artery to the alveolar crest and sinus floor, were estimated as means with associated 95% confidence intervals. Results: Thirty-seven studies were enrolled, with 34 of these included in the meta-analysis. The mean detection rate was 79% (range: 72%-84%), and the mean diameter was 1.06±0.05 mm (range: 0.96-1.16 mm). The posterior superior alveolar artery was located intraosseously in 64% of cases. The mean distance of the artery from the alveolar crest was 16.71±0.49 mm (range: 15.75-17.68 mm), while the mean distance from the artery to the sinus floor was 8.85±0.4 mm (range: 8.05-9.64 mm). Conclusion: According to the findings of this meta-analysis regarding various anatomic characteristics of the posterior superior alveolar artery, severe hemorrhage after damage to this artery during sinus augmentation procedures is not a substantial clinical problem.

• Korean Journal of Community Nutrition
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• v.28 no.4
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• pp.329-339
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• 2023

Objectives: This study aims to explore consumer awareness and usage patterns of local food in Jecheon city during the COVID-19 pandemic, contributing to the establishment of the Jecheon City Food Plan. Methods: Surveys were conducted from July 24 to August 24, 2021, using a combination of web-link and self-administered methods for adults living in Jecheon city (n = 250). Descriptive analysis, t-test, importance and satisfaction analysis (ISA) of local food choice attributes were performed using SPSS Statistics. Results: Participants prioritized freshness when purchasing agricultural products. The freshness of Jecheon local food was the selection attribute with the highest consumer satisfaction and could provide purchase motivation. Approximately 73.6% of respondents understood the concept of local food, and 70% were familiar with Jecheon's local food. Notably, 94.8% expressed an intention to purchase but held negative views on selling local food in other areas. The need to increase the supply of local food to vulnerable populations and public school catering was highly recognized. The ISA identified 'affordable price', 'delivery service', and 'product information' as areas requiring improvement. On the other hand, 'freshness of products', 'quality for the price', and 'support for local farmers and economy' were identified as attributes to be maintained and strengthened. Conclusions: Consumers in Jecheon city recognized local foods as more than just 'consumer goods'. Our findings suggest the need for further research on local food revitalization and more comprehensive local food planning to enhance consumer satisfaction.

• Journal of Korean society of Dental Hygiene
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• v.23 no.1
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• pp.73-82
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• 2023

Objectives: This study aimed to evaluate the oral symptoms experiences of Korean adolescents among multicultural families. Methods: Data on 985 participants from the 16th Korea Youth Risk Behavior Web-based Survey were collected and analyzed using complex sample descriptive statistics. Results: The foreign-born mother, foreign-born parents, and foreign-born father rates were 77.2%, 17.3%, and 5.4%, respectively. The toothache, gingival bleeding, tooth fracture, and tooth sensitivity experience rates were 21.3%, 18.8%, 13.3%, and 30.4%, respectively. The tooth fracture rate was highest in the foreign-born parents group (24.6%). The toothache odds ratio (OR) was 1.71 (95% CI: 1.24-2.37) times higher in girls. The foreign-born mother group was 2.47 (95% CI: 1.09-5.60) times higher than that of the foreign-born father or both parents foreign-born groups. The smoking group was 2.03 (95% CI: 1.20-3.43) times higher than that of the non-smoking group. The gingival bleeding OR was 5.11 (95% CI: 1.80-14.53) times higher in the lowest economic status group. The tooth fracture OR was 3.44 (95% CI: 1.01-11.70) times higher in the lowest economic status group. The tooth sensitivity OR was 1.53 (95% CI: 1.14-2.04) times higher in girls. Conclusions: It is necessary to establish a program to promote oral health of adolescents from multicultural families.

• PNF and Movement
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• v.21 no.1
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• pp.129-137
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• 2023

Purpose: The physical therapy diagnosis process requires high-level background knowledge, the ability to obtain added information from patients, accurate examination skills, and a framework for transforming thoughts into a diagnostic decision. Thus, the physical therapy diagnostic process is highly complicated and difficult work. To function as autonomous professionals, physical therapists must develop effective clinical diagnosis skills. As such, mobile application aids can help with accurate and scientific diagnoses. Therefore, this study aims to develop and evaluate the usability of a mobile application for physical therapy diagnoses. Methods: In this study, a diagnostic application was developed using App Inventor, the development environment was the Chrome web browser for Windows 10, and the mobile application was run on a Google Pixel 5. The developed application was evaluated for usability by 20 physical therapists with more than 5 years of clinical experience in the musculoskeletal physical therapy field, and a usability evaluation was conducted using a 5-point Likert scale for accuracy, convenience, satisfaction, and usability. The collected Likert scores were converted into percentages and analyzed as descriptive statistics. Results: The graphical user interface consisted of an initial screen with program guidance, 18 screens presenting the algorithm, and 12 screens presenting the estimated diagnosis based on the algorithm. As such, the usability evaluation of the developed application was as follows: accuracy 100%, convenience 90%, satisfaction 91%, and usability 88%. Conclusion: The newly developed mobile application for physical therapeutic diagnoses has a high accuracy, and it will aid in building an easy and reliable physical therapy diagnosis system.

• Women's Health Nursing
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• v.29 no.2
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• pp.91-103
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• 2023

Purpose: This study aimed to construct a structural equation model to explain and predict factors affecting the health-related quality of life (QoL) in female rheumatoid arthritis (RA) patients based on the health-related QoL model by Ferrans et al. (2005) and a literature review. Methods: Patients (N=243) who were either registered members of an internet cafe composed of patients with RA or rheumatology outpatients at two tertiary general hospitals in Busan, Korea, were recruited via convenience sampling. Data were collected from July 2 to September 9, 2021, and the survey was conducted using a web-based questionnaire. The data were analyzed by SPSS and AMOS 26.0. Results: The goodness-of-fit statistics of the final model exhibited good results (χ²/degree of freedom=2.68, Turker-Lewis index=.94, comparative fit index=.96, standardized root mean-squared residual=.04, root mean- square error of approximation=.08), and 11 out of 14 paths of the model were supported. The squared multiple correlation, which reflected the explanatory power of the environmental characteristics, symptoms, functional status, and perceived health status on health-related QoL, was 80%. In the hypothesis model, 10 paths had significant direct effects, 6 paths had significant indirect effects, and 12 paths had significant total (direct and indirect) effects. Conclusion: Considering that factors directly affecting the health-related QoL of female patients with RA were social support, symptoms (fatigue and depression), resilience, and perceived health status, and that resilience was the most influential factor, clinicians can encourage resilience. Hence, to improve the health-related QoL of female patients with RA, continuing management is necessary, using various intervention methods that focus on enhancing resilience from the early stage to the end of treatment for RA.

• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.29-37
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• 2023

Due to climate change, interest in crop production and distribution is increasing, and attempts are being made to use bigdata and AI to predict production volume and control shipments and distribution stages. Prediction of agricultural product imports not only affects prices, but also controls shipments of farms and distributions of distribution companies, so it is important information for establishing marketing strategies. In this paper, we create an artificial intelligence prediction model that predicts the future import volume based on the wholesale market melon import volume data disclosed by the agricultural statistics information system and evaluate its accuracy. We create prediction models using three models: the Neural Prophet technique, the Ensembled Neural Prophet model, and the GRU model. As a result of evaluating the performance of the model by comparing two major indicators, MAE and RMSE, the Ensembled Neural Prophet model predicted the most accurately, and the GRU model also showed similar performance to the ensemble model. The model developed in this study is published on the web and used in the field for 1 year and 6 months, and is used to predict melon production in the near future and to establish marketing and distribution strategies.

• Korea Trade Review
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• v.45 no.5
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• pp.37-53
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• 2020

This study aims to provide the implications of research development by comparing domestic and international studies conducted on the subject of FTA. To this end, among the papers written during the period from 2000 to July 23, 2020, papers whose title is searched by FTA (Free Trade Agreement) were selected as research data. In the case of domestic research, 1,944 searches from the Korean Citation Index (KCI) and 970 from the Web of Science and SCOPUS were selected for international research, and the research trend was analyzed through keywords and abstracts. Frequency analysis and word embedding (Word2vec) were used to analyze the data and visualized using t-SNE and Scattertext. The results of the analysis are as follows. First, in the top 30 keywords of domestic and international research, 16 out of 30 were found to be the same. In domestic research, many studies have been conducted to analyze the outcomes or expected effects of countries that have concluded or discussed FTAs with Korea, on the other hand there are diverse range of study subjects in international research. Second, in the word embedding analysis, t-SNE was used to visually represent the research connection of the top 60 keywords. Finally, Scattertext was used to visually indicate which keywords were frequently used in studies from 2000 to 2010, and from 2011 to 2020. This study is the first to draw implications for academic development through abstract and keyword analysis by applying various text mining approaches to the FTA related research papers. Further in-depth research is needed, including collecting a variety of FTA related text data, comparing and analyzing FTA studies in different countries.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.3
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• pp.563-572
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• 2024

Image processing and computer vision technologies are becoming increasingly important in a variety of application fields that require techniques and tools for sophisticated image analysis. In particular, image segmentation is a technology that plays an important role in image analysis. In this study, in order to identify recent research trends on image segmentation techniques, we used the Web of Science(WoS) database to analyze the R&D topography based on the network structure of the author's keyword co-occurrence matrix. As a result, from 2015 to 2023, as a result of the analysis of the R&D map of research articles on image segmentation, R&D in this field is largely focused on four areas of research and development: (1) researches on collecting and preprocessing image data to build higher-performance image segmentation models, (2) the researches on image segmentation using statistics-based models or machine learning algorithms, (3) the researches on image segmentation for medical image analysis, and (4) deep learning-based image segmentation-related R&D. The scientometrics-based analysis performed in this study can not only map the trajectory of R&D related to image segmentation, but can also serve as a marker for future exploration in this dynamic field.

• Journal of Industrial Convergence
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• v.22 no.8
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• pp.105-113
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• 2024

The purpose of the study was to explain the effect of adolescents' problem-solving ability on sociality and to verify the mediating effect of self-esteem in the COVID-19 era. The study utilized the survey data using the web and mobile conducted by the Korea Youth Policy Institute, and selected 1,471 school-age adolescents as the subjects of the survey. For the analysis, the study performed various analysis methods including frequency analysis, descriptive statistics, correlation analysis, and mediating effect analysis of self-esteem using SPSS WIN 25.0 and PROCESS MACRO program. The results are as follows. First, it was shown that adolescents' problem-solving ability had a positive (+) effect on sociality. Second, there was a mediating effect of self-esteem in the relationship between adolescents' problem-solving ability and sociality. Based on these results, the practical engagement and various programs to improve adolescents' self-esteem and sociality were suggested.

• Journal of dental hygiene science
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• v.16 no.3
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• pp.193-199
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• 2016

The objective of this study was to investigate the relationship between health-risk factors and oral health in Korean adolescents. This cross-sectional study was based on the 9th Korea Youth Risk Behavior Web-Based Survey (2013). The final participation rate in the survey was 96.4%. of a Total of 72,435 adolescents (age, 12~18 years) who had participated in the survey, 66,951 adolescents (33,777 boys and 33,174 girls) were selected for analysis, after excluding those with missing data. The key variables were oral health factors (one or more of the six oral symptoms), general characteristics (five factors), and health-risk factors (five factors). After adjusting for the general characteristics, frequency analysis, ${\chi}^2-test$ using PASW Statistics ver. 18.0, and logistic regression analysis were performed to understand the effects of health risk-factors on the oral symptoms experienced by the study subjects. Subjects who answered 'Yes' for alcohol consumption had a 1.33 times higher risk of experiencing oral symptoms. Further, subjects who smoked were at a 1.2 times higher risk of experiencing oral symptoms. With regard to internet use, the risk of experiencing oral symptoms was 1.25 times higher for subjects who used the internet for 7 hours or more than for those who used it for less than 1 hour. Compared to those subjects who had not experienced violence in school, the odds ratio of subjects who had experienced it 3~4 times was 1.54-fold higher. The study found that health-risk factors were associated with oral symptom experience. Therefore, programs to understand health-risk factors and interventions should be developed for Korean adolescents and provided on a regular basis along with oral health education.