• Asia Marketing Journal
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• v.15 no.1
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• pp.107-128
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• 2013

When Korea's retail industry was liberalized, new store formats such as large discount stores and Super Supermarket(SSMs) have grown. New types of business have borne significant influence on traditional market. Traditional markets have been in gradual decline since they fail to meet to consumer's purchasing behavior. The South Korean government has been making sustained efforts to revitalize the modernization of traditional markets since 2004. This research is conducted to analyze how changes in the distribution of different types of distributors influence the consumer's purchasing behaviors depending on the changes in the market environment. The purpose of this research is to present a policy to invigorate consumer-oriented traditional markets by analyzing the consumption behavior among major retail channels at a point when competition among retail channels is becoming intensified. In order to examine the effect of the spatial competitive landscape among major retail channels on consumption behavior, an empirical analysis was conducted with 613 consumers in 6 cities nationwide, using the multiple regression model. This research identified three main areas of factors. The analysis result indicates that the physical factor (time required to go to the traditional market), socioeconomic factors (the number of vehicles owned and average monthly income), and competitive factors (intensity of competition in spatial locations and average monthly spending in supermarkets) have significant influence on consumption patterns of consumers. The findings present that the Korean government should go ahead with policies aimed to revitalize traditional markets, keeping in mind the factors that influence the consumption patterns of customers based on these results. We propose that the policy supporting traditional markets need to be a customized-strategy, considering traditional market's characteristic.

• Asia Marketing Journal
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• v.11 no.1
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• pp.39-72
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• 2009

With the growing importance of accountability, it is getting necessary to test the impact of marketing expenditure on marketing performance. Including recent ROM, we can find a few researches about marketing accountability. But there are a few problems about definitions and metric of marketing expenditure and marketing performance. Therefore, by defining and analyzing the impact of marketing expenditure on marketing performance, we are going to set the classification scheme of marketing expenditure and marketing performance. Based on research findings, new definitions and metrics are proposed as follows. First, we suggest the classification scheme of marketing expenditure. Marketing expenditure is defined as expense accounts in the balance sheet for doing marketing tasks. Marketing expenditures includes many accounts, for example, marketing research, advertising, sales promotion, foreign market development, physical distribution, after services. Among these marketing investment, advertising expenses have a positive effect on marketing performance. Second, we suggest the classification scheme of marketing performance. Already, marketing performance has been defined as financial metrics, customer metrics, market metrics, and corporate social responsibility. But, in this study, we find that the process model is not relevant for explaining association between the performance metrics. The process model is a virtuous cycle: "customer metrics→market metrics→financial metrics→firm valuation metrics." But, in this study, it is not supported or a little significant association between these metrics. Based on these results, we suggest the balance model or flower model as the classification scheme of marketing performance.

• Korea Journal of Hospital Management
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• v.28 no.3
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• pp.15-26
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• 2023

Purposes: Evaluate the level of mental health of administrative workers in medical institutions during the COVID-19 epidemic, and check the relationship. Methodology: It targeted 183 administrative workers at medical institutions located in Jeollabuk-do. The data survey method used a self-filled questionnaire, and the data collection period was 30 days from November 16, 2021 to December 16, 2021. A comparative analysis was conducted to find out the correlation between the subjects' biological factors, environmental factors, lifestyle factors, job related factors and depression, Post Traumatic Stress Disorder, and job stress. Findings: As an influencing factor of depression, it was found that the longer the working period, the higher the depression, and the higher the position, job satisfaction, and the total amount of smoking, the lower the depression. Due to the effect on Post Traumatic Stress Disorder, the higher the total amount of smoking, the higher the Post Traumatic Stress Disorder after effects, and the higher the organizational commitment and job satisfaction, the lower the Post Traumatic Stress Disorder aftereffects. It was found that organizational commitment had the highest influence on Post Traumatic Stress Disorder. As an influencing factor on job stress, it was found that the higher the job related factors was job satisfaction and organizational commitment, the lower the job stress. Practical Implications: Variables such as moderate physical activity, alcohol consumption, total smoking, working period, position, job satisfaction, and organizational commitment were identified as factors influencing depression, Post Traumatic Stress Disorder, and job stress during the COVID-19 pandemic.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.4
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• pp.425-432
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• 2023

In this study, we aim to develop a carbon-reducing concrete technology by incorporating biochar. Performance evaluation experiments were conducted on concrete mixtures containing biochar with insulating and carbon-capturing properties, which are essential for key infrastructure sectors such as construction and tunnels. Concrete mixtures were designed with different biochar incorporation rates of 0 %, 5 %, 10 %, 15 %, and 20 %, as w ell as w ater-to-binder ratios of 0.25, 0.30, 0.35, and 0.40. To assess the physical properties of each mixture, unit weight, total porosity, and permeability were measured, while mechanical properties were determined through the measurement of concrete compressive and flexural strengths. Key factors for enhancing the insulating effect of carbon-reducing concrete containing biochar were identified through regression analysis, indicating a close correlation among biochar incorporation rate, unit weight, concrete strength, and thermal conductivity. It is anticipated that it can be utilized as an insulating material to enhance thermal performance in northern regions with severe winter climates.

• The Journal of Advanced Prosthodontics
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• v.15 no.5
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• pp.227-237
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• 2023

PURPOSE. This study aimed to assess and compare the color stability, flexural strength (FS), and surface roughness of occlusal splints fabricated from heat-cured acrylic resin, milled polymethyl methacrylate (PMMA)-based resin, and 3D-printed (PMMA) based-resin. MATERIALS AND METHODS. Samples of each type of resin were obtained, and baseline measurements of color and surface roughness were recorded. The specimens were divided into three groups (n = 10) and subjected to distinct aging protocols: thermomechanical cycling (TMC), simulated brushing (SB), and control (without aging). Final assessments of color and surface roughness and three-point bending test (ODM100; Odeme) were conducted, and data were statistically analyzed (2-way ANOVA, Tukey, P <.05). RESULTS. Across all resin types, the most significant increase in surface roughness (Ra) was observed after TMC (P < .05), with the 3D-printed resin exhibiting the lowest Ra (P < .05). After brushing, milled resin displayed the highest Ra (P < .05) and greater color alteration (∆E₀₀) compared to 3D-printed resin. The most substantial ∆E₀₀ was recorded after brushing for all resins, except for heat-cured resin subjected to TMC. Regardless of aging, milled resin exhibited the highest FS (P < .05), except when compared to 3D-printed resin subjected to TMC. Heat-cured resin exposed to TMC demonstrated the lowest FS, different (P < .05) from the control. Under control conditions, milled resin exhibited the highest FS, different (P < .05) from the brushed group. 3D-printed resin subjected to TMC displayed the highest FS (P < .05). CONCLUSION. Among the tested resins, 3D-printed resin demonstrated superior longevity, characterized by minimal surface roughness and color alterations. Aging had a negligible impact on its mechanical properties.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.12a
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• pp.70-70
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• 2020

참취(Aster scaber)는 국화과에 속하는 여러해살이식물로 취나물로 분류되어 전국에서 재배되고 있으며 최근 성인병 예방 효과와 무공해 건강식품으로 연중 소비가 증대되고 있으며, 주로 시설재배 작형으로 많이 재배하고 있다. 참취 시설재배지는 양분의 과다투입에 의한 염류집적과 잦은 관수로 물리성이 악화 되어 참취의 생육이 저하되어 수량이 감소하여 통상 3년 마다 종묘 갱신이 이루어지고 있다. 본 연구는 토양개량제 처리에 따른 토양 물리화학성과 참취의 생육에 미치는 영향을 검토하여 참취 시설재배 농가에 활용할 수 있는 방안을 개발하고자 시험을 수행하였다. 2018년 4월부터 2020년 11월까지 전라북도 농업기술원 허브산채시험장에서 참취 시설재배를 대상으로 무처리, 볏짚, 왕겨숯, 야자섬유 등을 10a당 1,000kg 처리하여 시기별 토양 이화학성, 생육특성을 조사하였다. 자재 처리 후 토양물리성의 변화는 볏짚 시용에서 가장 낮은 용적밀도 1.35g/cm³와 가장 높은 공극률 49.04%을 보였다. 토양 삼상 중 고상은 왕겨숯에서 52.82%로, 액상은 왕겨숯에서 30.28%로, 기상은 볏짚에서 22.45%로 가장 높았다. 토양 화학적 특성을 조사한 결과 모든 처리구에서 토양유기물 함량은 증가하였고, 유효인산은 함량은 440~487mg/kg로 낮아지는 경향을 보였다. 칼륨은 0.77~0.88cmol_c/kg로 낮아졌고, 칼슘과 11.56~14.09cmol_c/kg, 마그네슘은 2.93~3.22cmol_c/kg로 증가하였다. 생육특성은 볏짚 처리구에서 초장 26.4cm, 엽장 8.7cm, 엽폭 6.7cm, 줄기수 7.2주로 다른 처리구에 비해 좋은 생육이 좋았으며, 수량 또한 볏짚 처리구에서 1,554.3kg/10a로 가장 높았다. 지하부 생육특성은 볏짚 처리구에서 근중 83.7g/주, 근장 28.2cm, 근직경mm로 다른 처리구에 비해 생육이 양호하였다. 참취 다년재배지 정신 전 볏짚을 시용함으로써 토양의 유기물함량 증가와 용적밀도 감소, 공극율 증가 등 토양의 물리화학성을 개선하여 참취 수량성 증대효과가 있는 것으로 판단된다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.70-70
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• 2020

참취(Aster scaber)는 국화과에 속하는 여러해살이식물로 취나물로 분류되어 전국에서 재배되고 있으며 주로 시설재배지 조기재배 작형으로 많이 재배하고 있다. 참취의 잎과 줄기는 맛과 향기가 독특하여 예로부터 생채, 묵나물 등으로 이용되어 왔으며 칼슘, 철분, 비타민 A 등이 풍부하여 건강식품으로서도 가치가 높고 한약재로도 사용되기도 한다. 최근에는 항암효과와 더불어 콜레스트롤을 저하시키는 약리적 효능이 있는 것으로 밝혀져 기능성 식품으로도 각광 받고 있다. 참취 시설재배 시 통상 3년 마다 갱신이 이루어지고 있는데 그 이유로는 시설재배지 특성상 양분의 과다투입에 의한 염류집적과 잦은 관수로 물리성이 악화되어 참취의 생육이 저하되어 수량이 감소하는 결과를 초래한다. 본 연구는 토양개량제 처리에 따른 토양 물리화학성과 참취의 생육에 미치는 영향을 검토하여 참취 시설재배 농가에 활용할 수 있는 방안을 개발하고자 시험을 수행하였다. 2018년 4월부터 2020년 7월까지 전라북도 농업기술원 허브산채시험장에서 참취 시설재배를 대상으로 무처리, 볏짚 1,000kg/10a, 왕겨숯 1,000kg/10a, 야자섬유 1,000kg/10a, 4처리구로 하여 시기별 토양특성 변화 및 생육 상황을 조사하였다. 자재 처리 후 3년차 토양 물리성의 변화는 볏짚 시용에서 가장 낮은 용적밀도 1.23g/cm³와 가장 높은 공극률 53.50%을 보였다. 토양 삼상은 고상은 왕겨숯에서 49.41%로, 액상은 왕겨숯에서 24.92%로, 기상은 볏짚에서 32.09%로 가장 높았다. 토양화학적 특성을 조사한 결과 토양 pH는 7.2~7.3, 토양유기물 함량은 32~39g/kg, 유효인산 함량은 440~487mg/kg 이었으며 처리 전 토양에 비하여 유기물 함량은 증가하고 유효인산은 낮아지는 경향을 보였다. 치환성 양이온 K, Ca, Mg는 K는 0.77~0.88cmolc/kg로 낮아졌고, Ca와 11.56~14.09cmolc/kg, Mg는 2.93~3.22cmolc/kg로 증가하였다. 참취 생육특성은 초장은 24.8~26.4cm, 엽장은 8.3~8.7cm, 엽폭은 6.3~6.7cm, 줄기수는 6.9~7.2주로 대조구에 비해 좋은 생육 상황 상황을 보였으며, 수량은 919~1,161kg/10a 으로 자채 처리구에서 대조구에 비해 수량성 또한 높았다 참취 다년재배지 토양개량제 시용함으로써 토양의 유기물함량 증가와 토양의 용적밀도 감소와 토양 공극율 증가 등 토양의 물리화학성을 개선할 수 있을 것으로 기대된다.

• Korean Chemical Engineering Research
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• v.61 no.4
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• pp.542-549
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• 2023

Since the growing interest in surrogate modeling, there has been continuous research aimed at simulating nonlinear chemical processes using data-driven machine learning. However, the opaque nature of machine learning models, which limits their interpretability, poses a challenge for their practical application in industry. Therefore, this study aims to analyze chemical processes using Explainable Artificial Intelligence (XAI), a concept that improves interpretability while ensuring model accuracy. While conventional sensitivity analysis of chemical processes has been limited to calculating and ranking the sensitivity indices of variables, we propose a methodology that utilizes XAI to not only perform global and local sensitivity analysis, but also examine the interactions among variables to gain physical insights from the data. For the ammonia synthesis process, which is the target process of the case study, we set the temperature of the preheater leading to the first reactor and the split ratio of the cold shot to the three reactors as process variables. By integrating Matlab and Aspen Plus, we obtained data on ammonia production and the maximum temperatures of the three reactors while systematically varying the process variables. We then trained tree-based models and performed sensitivity analysis using the SHAP technique, one of the XAI methods, on the most accurate model. The global sensitivity analysis showed that the preheater temperature had the greatest effect, and the local sensitivity analysis provided insights for defining the ranges of process variables to improve productivity and prevent overheating. By constructing alternative models for chemical processes and using XAI for sensitivity analysis, this work contributes to providing both quantitative and qualitative feedback for process optimization.

• Journal of Life Science
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• v.33 no.12
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• pp.1046-1051
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• 2023

Cigarette smoking is one of the major causes of preventable diseases, disability, and death in Korea and worldwide. It has been clearly linked to the most common causes of death among the elderly and contributes to morbidity and disability associated with many chronic illnesses that are common in this age group. The health benefits of smoking cessation for the elderly have been clearly demonstrated. However, few studies have analyzed the relationship between health and smoking by considering the following many factors, especially among disabled people. In this study, we discuss the impacts of many factors on smoking among disabled people. Adults with disabilities are more likely to smoke than their peers. Public health agencies and practitioners should consider what reasonable adjustments may need to be made to policies and interventions to ensure that they are effective for adults with disabilities.

• International Journal of High-Rise Buildings
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• v.12 no.3
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• pp.225-234
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• 2023

Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).