• Human Ecology Research
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• v.62 no.1
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• pp.181-196
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• 2024

This study examined the influence of perceptions of food risk and food labeling on the purchase of labeled food items and the intention to pay higher prices for safe food. Data were obtained from the Korea Rural Economic Institute's Consumer Behavior Survey for Food 2020. The analysis focused on the responses of 6,355 consumers, all of whom were mainly responsible for food purchases. The analysis investigated the moderating effect of food risk perception on the relationship between food labeling perception and the purchase of labeled food. Regarding the purchase of labeled food, statistically significant effects were noted for gender, educational level, perception of food labeling, and perception of food risk; however, the interaction effect of perceptions of food labeling and food risk was not statistically significant. With regard to the intention to pay higher prices for safe food, except for age, statistically significant effects were observed for gender, educational level, food expenditure, perception of food labeling, and perception of food risk; moreover, the interaction effect of perceptions of food labeling and food risk was significant. The results indicate that consumers reporting low food labeling perception and low purchase of labeled food were most vulnerable regarding food safety; therefore, it is necessary to provide such consumers with food label provision methods and specified education programs.

• Journal of the Korean Geotechnical Society
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• v.40 no.3
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• pp.19-31
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• 2024

In Korea, driven piles are generally penetrated up to weathered rock or harder strata. Friction piles have been used to some extent in the southwest coastal area with deep soils; however, friction piles are not extensively due to uncertainties about construction quality. The embedded pile construction method is primarily used due to noise and vibration complaints. However, in Southeast Asian countries (e.g., Cambodia, Myanmar, and Vietnam), where soft sediments are deep, the driven pile method is commonly used due to its economic advantages. Construction companies are increasingly entering overseas construction markets, e.g., Southeast Asia; thus, it is necessary to understand the behavior of driven friction piles in the soil and improve on-site engineering management to gain market competitiveness in these countries. In this study, the bearing capacity of friction piles driven into clayey coastal soils in Vietnam with time-dependent characteristics was evaluated based on the dynamic and static pile load tests. Based on the results, a modified Danish formula is proposed for on-site quality management.

• Computers and Concrete
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• v.33 no.2
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• pp.175-193
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• 2024

Researchers have embarked on an active investigation into the feasibility of adopting alternative materials as a solution to the mounting environmental and economic challenges associated with traditional concrete-based construction materials, such as reinforced concrete. The examination of concrete's mechanical properties using laboratory methods is a complex, time-consuming, and costly endeavor. Consequently, the need for models that can overcome these drawbacks is urgent. Fortunately, the ever-increasing availability of data has paved the way for the utilization of machine learning methods, which can provide powerful, efficient, and cost-effective models. This study aims to explore the potential of twelve machine learning algorithms in predicting the tensile strength of geopolymer concrete (GPC) under various curing conditions. To fulfill this objective, 221 datasets, comprising tensile strength test results of GPC with diverse mix ratios and curing conditions, were employed. Additionally, a number of unseen datasets were used to assess the overall performance of the machine learning models. Through a comprehensive analysis of statistical indices and a comparison of the models' behavior with laboratory tests, it was determined that nearly all the models exhibited satisfactory potential in estimating the tensile strength of GPC. Nevertheless, the artificial neural networks and support vector regression models demonstrated the highest robustness. Both the laboratory tests and machine learning outcomes revealed that GPC composed of 30% fly ash and 70% ground granulated blast slag, mixed with 14 mol of NaOH, and cured in an oven at 300°F for 28 days exhibited superior tensile strength.

• Journal of Pharmacopuncture
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• v.27 no.2
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• pp.110-122
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• 2024

Objectives: This study analyzed the Korea Health Panel Annual Data 2019 to investigate factors related to the use of non-insured Korean medicine (KM) treatment in individuals with chronic diseases. The non-insured KM treatments of interest were herbal decoction (HD) and pharmacopuncture (PA). Methods: Among adults aged 19 or older, 6,159 individuals with chronic diseases who received outpatient KM treatment at least once in 2019 were included. They were divided into three groups according to the KM treatment used: (1) basic insured KM non-pharmacological treatment (BT) group (n = 629); (2) HD group (n = 256); (3) PA group (n = 184). Logistic regression analysis was used to explore factors associated with favoring HD or PA use over BT. Potentially relevant candidate factors were classified using the Andersen Behavior Model. Results: Compared to BT, the 1st to 3rd quartiles of income compared to the 4th quartile (odds ratio: 1.50 to 2.06 for HD; 2.03 to 2.83 for PA), health insurance subscribers compared to medical aid (odds ratio: 2.51; 13.43), and presence of musculoskeletal diseases (odds ratio: 1.66; 1.91) were significantly positively associated with HD and PA use. Moreover, the presence of cardiovascular disease (odds ratio: 1.46) and neuropsychiatric disease (odds ratio: 1.97) were also significantly positively associated with HD use. Conclusion: The presence of some chronic diseases, especially musculoskeletal diseases, was significantly positively associated with HD and PA use, while low economic status was significantly negatively associated with HD and PA use, indicating the potential existence of unmet medical needs in this population. Since chronic diseases impose a considerable health burden, the results of this study can be used for reference for future health insurance coverage policies in South Korea.

• Information Systems Review
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• v.19 no.1
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• pp.123-145
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• 2017

This study empirically examines the effects of regulation on online gaming. Going beyond ad hoc heuristic approaches on individual behavior, we investigate the effects of regulation on dynamic changes of games or service providers. In particular, we propose three theoretical perspectives: social influence to investigate the regulation effect, the role of prior experience to determine the difference in the regulation effect size through users' prior experience, and network externalities to discover the difference in the regulation effect size according to the number of users on an online gaming platform. We use the vector autoregression methodology to model patterns of the co-movement of online games and to forecast game usage. We find that online gamers are heterogeneous. Therefore, policy makers should make suitable regulations for each heterogeneous group to effectively avoid generating gaming addicts without interrupting the economic growth of the online gaming industry.

• Journal of the Korean GEO-environmental Society
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• v.25 no.4
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• pp.5-12
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• 2024

In the case of creating a site in the reclaimed land (public waters), due to the nature of the coastal sedimentary ground, large-scale construction materials are required, It is necessary to utilize soft clay, which is inevitably generated during construction of the complex, as a fill material in terms of resource recycling and economic aspects (reducing the amount of embankment required). In this study, changes in the consolidation characteristics of cut-out disturbed soft clay due to the recycling of soft clay soil were identified, and a consolidation settlement design plan was proposed. Through the results of the consolidation test of the study site, the change in consolidation characteristics (compression index reduction, precede load uncountable) due to disturbance (cutting) was confirmed, the method of calculating (consolidation settlement) the filling clay layer as the composite target layer (consolidation target layer, loading load layer) was analyzed as a result consistent with the actual behavior.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.137-142
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• 2024

User interface (UI) functions are distorted and appear as a dark pattern that intentionally deceives or entices users. Consumers who are unaware of dark patterns are constrained in their choices, resulting in unnecessary economic damage. In this study, we aimed to investigate consumers' various shopping emotions and behavioral intentions after recognizing dark patterns in online shopping malls through qualitative research methods. As a result of the study, the rate of perception differed slightly depending on the type of dark pattern, and it was found that it induced consumer emotions such as distrust of the company, user deception, and displeasure. It has been found that the behavior after recognizing the dark pattern shows passive behaviors such as vowing to prevent recurrence and warning acquaintances rather than actively protesting to the company and demanding compensation for damages.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.4
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• pp.195-202
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• 2008

Underestimation of the capacity can have serious economic consequences, as deficient bridges must be posted, repaired or replaced. Accurate prediction of bridge behavior may allow for more bridges to remain in service with or without minor repairs. The presented research is focused on the reliability evaluation of the actual load carrying capacity of existing bridges based on the field testing. Reliability analysis is performed on 17 previously tested bridges. Bridges are first evaluated based on the code specified values and design resistance. However, after the field testing program, it is possible to apply the experimental results into the bridge reliability evaluation procedures. The girder distribution factors obtained from the tests are also applied in the reliability calculation. The results indicate that the reliability indices of selected bridges can be significantly increased due to the reduction of uncertainties without sacrificing the safety of structures, by including the result of field measurement data into calculation.

• Journal of the Health Care and Life Science
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• v.11 no.1
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• pp.155-164
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• 2023

This study investigated the general characteristics, oral health and oral behavior of cancer survivors to improve the quality of life of cancer patients. These factors are analyzed using the results from the 7th Korea National Health and Nutrition Examination Survey(2016~2018). Data were analysed using SPSS Statistics Ver. 26.0 and Chi-squared test were performed to analyze the data. Most of the survey subjects answered that their oral health status was below average. As the age of cancer survivors increased, the experience of dental caries and periodontal disease was significantly higher (p<0.05). It was found that lower the economic and educational level, perceived as bad was the subjective oral health (p<0.05), chewing problems (p<0.001), speech (p<0.01) difficulties and low the frequency of toothbrush use. In conclusion, It is necessary to develop an appropriate oral health management program to prevent oral diseases in consideration of the residence and socioeconomic level of cancer survivors.

• Steel and Composite Structures
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• v.52 no.2
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• pp.135-143
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• 2024

Once the foundation displacement of the transmission tower occurs, additional stress will be generated on the tower members, which will affect the seismic response of transmission tower-line systems (TTLSs). Furthermore, existing research has shown that the reciprocating slippage of joints needs to be considered in the seismic analysis. The hysteretic behavior of joints is obtained by model tests or numerical simulations, which leads to the low modeling efficiency of TTLSs. Therefore, this paper first utilized numerical simulation and model tests to construct a BP neural network for predicting the skeleton curve of joints, and then a numerical model for a TTLS considering the bolt slippage was established. Then, the seismic response of the TTLS under foundation displacement was studied, and the member stress changes and the failed member distribution of the tower were analyzed. The influence of foundation displacement on the seismic performance were discussed. The results showed that the trained BP neural network could accurately predict the hysteresis performance of joints. The slippage could offset part of the additional stress caused by foundation settlement and reduce the stress of some members when the TTLS with foundation settlement was under earthquakes. The failure members were mainly distributed at the diagonal members of the tower leg adjacent to the foundation settlement and that of the tower body. To accurately analyze the seismic performance of TTLSs, the influence of foundation displacement and the joint effect should be considered, and the BP neural network can be used to improve modeling efficiency.