본 연구는 제주지역 성인들의 부정적 정신적 습관 성향을 파악하고, 이에 영 향을 미치는 다양한 변인들의 영향력을 분석함으로써 성인들의 건강한 정신적 습관 확립을 위한 자료를 제시하는 데 그 목적이 있었다. 본 연구는 이러한 연구 목적을 달성하기 위해 무력감 및 불안 성향, 자기중심적 인식 성향, 감정회피 및 자기도피 성향, 그리고 부정적 판단 성향을 4가지 부정적 정신적 습관 성향으로 구분하였고, 독립변인들로는 인구사회학적 특성, 심리적 특성, 사회적지지 특성 및 환경적 스트레스 특성을 포함하였다. 본 연구는 연구목적을 위해 설문조사를 실시하였는데, 조사대상자는 만 19세 이상 60세 미만 제주지역 성인 800명이었 으며, 부실응답 등을 제외한 총 728부를 최종 분석 자료로 사용하였다. 본 연구의 주요한 결과는 다음과 같다. 첫째, 본 연구에서 구분한 성인의 부정 적 정신적 습관 성향은 전체적으로 높은 수준은 아니었으나 세부적인 실태분석 결과는 정신적 습관 성향을 대비한 교육의 필요성을 시사하였다. 둘째, 성인의 부정적 정신적 습관 성향은 전체적으로 볼 때 각 성향별로 영향을 미치는 변인 에 차이가 있었으나, 심리적 특성, 사회적 특성, 그리고 환경적 특성이 중요한 영향 변수로 나타나 이러한 변인들을 고려한 교육프로그램의 개발과 지원이 필 요함을 보여주었다.

Background: The purpose of this study was to determine the bidirectional association between burning mouth syndrome (BMS) and depression disorders. Methods: A total of 854 pairs of BMS and 58 999 pairs of depression disorders matched 1:1 for age and sex were analyzed using conditional logistic regression models, which were adjusted for potential confounding factors. Results: Bidirectional analysis found that BMS was associated with depression disorders (odds ratio=4.64, P < 0.001) and depression disorders was also significantly associated with BMS (odds ratio=2.97, P < 0.001). Conclusion: These findings indicate a significant bidirectional association between BMS and depression disorders. The odds ratios suggest that BMS is a stronger predictor for incidence of depression disorders than depression disorders predicting incidence of BMS. Given this retrospective cohort design, the mechanisms underlying the association between BMS and depression disorders are not directly analyzed. Therefore, further investigation are needed to analyze the causality between BMS and depression disorders.

전 세계 각국은 탄소 배출량을 줄이기 위한 다양한 노력을 하고 있다. 지난 수십 년간 몇몇 연구자들은 탄소배출량 을 줄이기 위해서 철근콘크리트 구조에서 철근을 FRP로 대체하기 위한 연구를 수행해 왔다. FRP보강근을 휨부재로 사용하기 위한 연구는 많이 수행되어 왔으나, FRP 보강근 기둥의 성능을 평가하고 설계하기 위한 연구는 거의 이루어지지 않았다. 본 연 구는 FRP보강근 콘크리트 구조 기둥과 철근콘크리트 기둥의 P-M 상관도를 비교하고, 철근콘크리트 기둥에서 철근의 대체재로 서 FRP보강근의 활용 가능성을 제시하였고, 변수는 콘크리트의 압축강도, FRP보강근의 종류, 보강근비이다.철근을 GFRP로 대체 할 경우, 요구 GFRP 보강근의 양은 철근의 4배이며, 철근비가 4% 이상이면 동일한 단면으로는 설계할 수 없다. 편심거리비가 1.0보다 크거나 철근비가 4%보다 작은 철근콘크리트 기둥의 철근을 CFRP로 대체할 경우, 보강근의양을 1/2수준으로 줄이거나 단면 크기를 줄일 수 있다.

Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user’s interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user’s negative self-esteem.

PURPOSES : In this study, the main factors affecting the severity of traffic accidents among elderly drivers were reviewed, and accident factors with a high accident risk were analyzed. This provided basic data for preparing a traffic safety system for elderly drivers and establishing policies. METHODS : Based on machine learning, the major factors influencing accident severity (from the analysis of traffic accident data for elderly drivers) were analyzed and compared with existing statistical analysis results. The machine learning algorithm used the Scikit-learn library and Python 3.8. A hyperparameter optimization process was performed to improve the safety and accuracy of the model. To establish the optimal state of the model, the hyperparameters were set (K = 5) using K-fold cross-validation. The hyperparameter search applied the most widely utilized grid search method, and the performance evaluation derived the optimal hyperparameter value using neutral squared error indicators. RESULTS : The traffic laws, road sections of traffic accidents, and time zones of accidents were analyzed for accidents involving elderly drivers in Daejeon Metropolitan City, and the importance of the variables was examined. For the analysis, a linear regression model, machine learning-based decision tree, and random forest model were used, and based on the root mean square error, the random forest accuracy performance was found to be the best. Ultimately, 18 variables were analyzed, including traffic violations, accident time zones, and road types. The variables influencing the accident severity were the speed, signal violation, intersection section, late-night driving, and pedestrian protection violation, with the relative importance of the variables in the order of speed (0.3490966), signal violation (0.285967), and late-night driving (0.173108). These can be seen as variables related to the expansion of life damage owing to physical aging and reduced judgment abilities arising from decreases in cognitive function. CONCLUSIONS : Restricting the driving of the elderly on the expressway and at night is reasonable, but specific standards for driving restrictions should be prepared based on individual driving capabilities.

PURPOSES : Speed management is essential for enhancing children’s safety in school zones. The objectives of this study are to analyze how digital-based school zone signs and newly proposed signage for increasing visibility influence speed reductions and how the new system facilitates drivers obeying the speed limits. METHODS : A before/after analysis technique with comparison groups (widely used to evaluate safety effects) was employed. To effectively capture the safety effects of the new system, two significant measures were selected as the measures of effectiveness: the rates of change in space mean speeds and speed limit compliance. RESULTS : With three target sites and three comparison sites, the mean space speeds after installing the new systems were found to be slightly reduced for all target sites (the reduction rates of the space mean speed were found to be 5% for site A, 1% for site B, and 6% for site C). The lack of a constant tendency in speed reduction effects at all sites might be owing to the fact that the speed data collection was conducted before the driver's system adaptation was sufficiently performed. Regarding the speed limit compliance rate, significant increases were observed at two sites (10% for site A and 51% for site C), but site B did not show an increasing effect. The reason for the absence of this effect is that the installation of crosswalks and speed bumps at the target site affected the driver's compliance with the speed limit. CONCLUSIONS : An insufficient amount of evaluation results was obtained for the new guidance system. However, the new guidance system method provides an alternative approach to improving children's safety, i.e., by inducing drivers to actively slow down in school zones.

PURPOSES : The purpose of this study was to investigate the characteristics of concrete pavement behaviors and performance depending on the group-axle types of heavy vehicles, such as single-, tandem-, and tridem-axles. METHODS : The concrete pavement performance indices (such as the rate of fatigue cracking and surface smoothness) according to the different group-axle types of heavy vehicles were predicted using the Korean pavement design program. It was assumed that the load magnitude was the same for each axle, and that the equivalent single-axle traffic volumes were the same for the different group-axle types. The concrete pavement stresses depending on the different group-axle types of heavy vehicles were also analyzed using a finite element analysis program. RESULTS : Based on the design criteria, the concrete pavement performance was the highest under tandem-axle traffic and lowest under single-axle traffic, although the difference in performance was not significant. Based on the structural analysis criteria, the tensile stress of the concrete pavement was the largest under the single-axle load and smallest under the tridem-axle load when the load magnitude of each axle was the same. CONCLUSIONS : Based on the results obtained from considering both the design and analysis criteria, it was concluded that the groupaxle types (such as the tandem- and tridem-axle configurations of heavy vehicles) would not increase the stress or decrease the performance of concrete pavements relative to the single-axle configuration.