The significance of this study lies in addressing critical issues prevalent in the worldwide construction sector, particularly concerning the durability and sustainability of cement-based materials. Plain cement composites commonly suffer from deficiencies in tensile strength and strain capacity, resulting in the formation of nano-cracks under relatively low tensile loads. These nano- cracks pose a significant challenge to the longevity and resilience of cement matrices, contributing to structural degradation and reduced service life of infrastructure. To mitigate these challenges, the integration of cellulose nanofibers (CNF) as reinforcements in cement composites presents a promising solution. CNF, renowned for their exceptional material properties including high stiffness, tensile strength, and corrosion resistance, offer the potential to significantly enhance the mechanical performance and durability of cement-based materials. Through systematic experimentation, this study investigates the effects of CNF reinforcement on the mechanical properties of cement composites. By leveraging ultrasonically dispersion techniques, CNF extracted from bamboo, broad leaf, and kenaf are uniformly dispersed within the cement matrix at varying concentrations. Compressive and flexural tests are subsequently conducted to evaluate the impact of CNF on the strength characteristics of the cement composites. By elucidating the efficacy of CNF reinforcement through rigorous experimentation, this study aims to provide valuable insights into the development of construction materials with improved durability and sustainability. Ultimately, this research contributes to addressing critical challenges in the construction industry, offering potential solutions to enhance the performance and longevity of cement-based infrastructure.

The purpose of this study is to experimentally analyze the seismic performance of beam-column specimens with vertical irregular, which were reinforced with RHS (Replaceable steel haunch system). a steel haunch system. To evaluate the seismic performance of the RHS, three specimens were manufactured and subjected to cycle loading tests. Retrofitted specimens have different beam-upper column stiffness ratio as a variable. The stiffness ratio of beam-upper column were considered to be 1.2 and 0.84. As a result of the test, the specimen reinforced with RHS showed improved maximum load and effective stiffness, and energy dissipation capacity compared to the non-retrofitted specimen with same beam-upper column stiffness ratio. The specimen with 0.84 beam-upper column stiffness ratio showed improved performance than the specimen with 12.

등검은말벌은 우리나라 뿐 아니라 유럽지역에 침입한 꿀벌의 중요한 포식해충이다. 양봉가들이 살충제를 활용하여 밀도 억제를 시도하고 있으나 아직까지 실현가능하고 과학적 방법과 적용 가능성이 정형화되지 않았다. 본 연구는 양봉가들이 주로 사용하는 살충제를 가지고, 등검은 말벌의 유충과 성충의 살충율과 반응 패턴을 조사하였다. Clothianidin, Dinotefuran, Carbosulfan은 처리 후 30분 내 70% 이상의 살충률을 보 였으며, Bifenthrin, Cartap hydrochloride의 상대적으로 살충률이 낮았다. Clothianidin, Dinotefuran, Carbosulfan의 반수치사약량(LD50)은 각 0.29, 0.65, 2.21 μg/bee이었다. 5령 유충에 대한 24시간 간격으로 3회 연속 섭식 처리를 했을 때, 2일이후에 약효가 나타났고 72시간 후에는 모두 70% 이상 살충률을 보였다. 등검은말벌의 반수치사약량은 양봉꿀벌의 것보다 10-100배 더 높았다. 향후 이 살충제를 말벌 방제에 이용할 수 있을지 추가적 검토가 필요하다.

This study quantitatively analyzes the inter-sectoral linkages of emerging security based on the network of Sustainable Development Goals (SDGs) in North Korea's Voluntary National Review Report (VNR) using Social Network Analysis (SNA). As a result of the analysis, North Korea's overall linkage score for each emerging security sector was high in the following order: health security (7.8), environmental security (5.9), food security (5.4), and energy security (4.0). This refers to the degree of interconnectivity with other security sectors. The ranking of security with high connectivity by the emerging security sector is as follows. Food security was in the order of environment > health > energy security, health security was in the order of environment > food security, energy security was in the order of health > environment > food security, and environmental security was highly connected in the order of health > energy > food security. This quantitative analysis indicates the importance of emerging security sectors and the need for mutual linkage in North Korea's SDGs implementation strategy. This will help set priorities for future cooperation in emerging security areas between North and South Korea and seeking organic linkage plans for each security sector.

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

지속가능발전은 미래 세대의 필요를 만족시키는 능력의 손실 없이 현 세대의 필요를 만족시키는 것이다. 지속가능발전은 현재 환경, 경제, 사 회라는 세 가지 프레임속에서 2030년까지 17개의 목표를 달성하는 것을 주요 골자로 전 세계의 파트너십을 유도하고 있다. 본 연구에서는 세 가 지 주요 프레임에 전체적으로 연관될 수 있는 문화라는 개념을 대표하는 박물관의 가치를 살펴보았다. 연구의 이론틀로 지속가능발전교육과 박물 관 교육의 접점을 살펴봄으로써 지속가능발전의 실천장으로서 박물관은 어떠한 가치를 가지는지 특히 해외 박물관 사례를 중심으로 분석하였다. 무엇보다도 2022년 새롭게 정의된 박물관에 절대적으로 필요한 다양성, 포용성, 지속가능성은 박물관이 지속가능발전과 밀접한 연관성이 있음을 직접적으로 증명한다. 해외 박물관의 교육 사례를 살펴본 결과 지속가능 발전의 환경 문제와 관련된 이슈를 가장 빈번하게 다루고 있음을 확인할 수 있었는데 향후 국내 국공립박물관의 교육 정책에 반영할 수 있는 시 사점을 가진다. 다양성과 포용성을 기반으로 한 박물관 교육 사례도 확 인되었는데 이는 한국 박물관의 교육 비젼 확대에 참고할 수 있는 부분 이라고 생각된다.

In this study, we proposed a novel concept of liquid level indicator that can stably measure the liquid level even with changes in liquid density by enormous temperature changes. This uses a distributed optical fiber sensor based on Rayleigh scattering with high spatial resolution. Additionally, taking advantage of the flexibility of an optical fiber sensor, we introduced a bendable supporting structure and made it possible to freely adjust the angle for ease of installation of the liquid level indicator. In the proof-of-concept experiment using a prototype incorporating the proposed concept, we confirmed that the interface location can be effectively detected by utilizing the difference in heat transfer characteristics between liquid and gas phases, demonstrating the feasibility of liquid level measurement. Such a liquid level indicator is expected to enable more accurate level measurements in environments with huge temperature changes and to be conveniently used even in situations where installation and maintenance of the level meter are challenging due to complex internal structures.

PURPOSES : To enhance the accuracy of predicting the compressive strength of practical concrete mixtures, this study aimed to develop a machine learning model by utilizing the most commonly employed curing age, specifically, the 28-day curing period. The training dataset consisted of concrete mixture sample data at this curing age, along with samples subjected to a total load not exceeding 2,350 kg. The objective was to train a machine learning model to create a more practical predictive model suitable for real-world applications. METHODS : Three machine learning models—random forest, gradient boosting, and AdaBoost—were selected. Subsequently, the prepared dataset was used to train the selected models. Model 1 was trained using concrete sample data from the 28th curing day, followed by a comprehensive analysis of the results. For Model 2, training was conducted using data from the 28th day of curing, focusing specifically on instances where the total load was 2,350 kg or less. The results were systematically analyzed to determine the most suitable machine learning model for predicting the compressive strength of concrete. RESULTS : The machine learning model trained on concrete sample data from the 28th day of curing with a total weight of 2,350 kg or less exhibited higher accuracy than the model trained on weight-unrestricted data from the 28th day of curing. The models were evaluated in terms of accuracy, with the gradient boosting, AdaBoost, and random forest models demonstrating high accuracy, in that order. CONCLUSIONS : Machine learning models trained using concrete mix data based on practical and real-world scenarios demonstrated a higher accuracy than models trained on impractical concrete mix data. This case illustrates the significance of not only the quantity but also the quality of the data during the machine learning training process. Excluding outliers from the data appears to result in better accuracy for machine learning models. This underscores the importance of using high-quality and practical mixed concrete data for reliable and accurate model training.

PURPOSES : The objective of this study was to review roadway management strategies that can be utilized in the event of a radiological emergency, select feasible alternatives, and simulate a portion of the West Coast network to analyze the effectiveness of these strategies. METHODS : The methodology of the study involved reviewing the relevant literature, extracting the implications, establishing an analysis procedure, and selecting an effectiveness evaluation scale. Using a national transportation database, a network was constructed using Toba, a macroscopic model. RESULTS : A reverse-flow lane system was applied to the West Coast Expressway Glory IC–Hampyeong IC (total 25 km), and a plan to increase the number of lanes was applied to the Seokgyo Street–Shinpyeong Intersection on National Route 23 (total extension 28 km). Consequently, both road management strategies were found to be effective. CONCLUSIONS : This study examined roadway management strategies that can be utilized in the event of a radiological emergency, selected feasible alternatives, and simulated a portion of the West Coast network to verify the effectiveness of these strategies. In the case of reverse flow lanes, it is most effective when applied to expressways that can restrict the entrance and exit of vehicles. In the case of increasing the number of lanes, it is most effective when applied to general roads, and institutional arrangements should be made to enable two-way traffic to use the reserved shoulder lanes.

1개월과 3개월 장기 예보를 지원하기 위해 기상청에서 현업운용 중인 GloSea6 기후예측시스템에는 대기 중 대 기화학-에어로졸 물리과정(UKCA)이 연동되어 있지 않다. 본 연구에서는 저해상도의 GloSea6와 여기에 대기화학-에어로 졸 과정을 연동시킨 GloSea6-UKCA를 CentOS 기반 리눅스 클러스터에 설치하여 2000년 봄철에 대한 예비적인 예측 결과를 살펴보았다. 현업 고해상도 GloSea6 모델이 방대한 전산자원을 필요로 한다는 점을 고려할 때, 저해상도 GloSea6와 GloSea6-UKCA 모델은 대기화학-에어로졸 과정의 연동에 따른 효과를 살펴보기에 적합하다. 저해상도 GloSea6와 GloSea6-UKCA는 2000년 3월 1일 00Z부터 75일 간 구동되었으며, 두 모델이 예측한 2000년 4월 지상 기온과 일평균 강수량의 공간 분포를 ERA5 재분석자료와 비교하였다. GloSea6-UKCA가 예측한 기온과 강수 분포는 기존 GloSea6에 비해 ERA5 재분석자료에 보다 더 유사해졌다. 특히 우리나라를 포함한 동아시아 지역에 대해 과대 모의 경 향이 있던 봄철 지상 기온과 일평균 강수량의 예측 결과의 개선이 주목할 만하다. 또한 적분 시간에 따른 예측된 기온 과 강수량의 시계열에서도 GloSea6-UKCA가 GloSea6보다 재분석자료에 더 가까워진 시간 변화 경향을 살펴볼 수 있었 다. 이는 대기화학-에어로졸 과정이 GloSea6에 연동되었을 때 동아시아지역 봄철 예측 성능이 개선될 수 있음을 보여준다.

This study aimed to explore sustainable fashion design plans and directions by analyzing Marine Serre’s collection. Previous research was reviewed to derive classifications of the aesthetic characteristics of sustainable fashion design. This classification was then used to analyze the characteristics of the Marine Serre collection. Design analysis was conducted on Marine Serre’s 2018 FW to 2023 SS collections. Marine Serre’s sustainability characteristics are functionality, surprise, handicraft, and inclusion. The results are as follows. First, functionality is the highest among the four characteristics and includes the functionality of movement, the functionality of form, and futurism. This characteristic was observed in the use of all-in-one body suits, pockets, and workwear, showing the will and values of designers who value daily activity. Second, surprise includes the scarcity of materials and the unexpectedness of composition. The value of the clothing is enhanced by the use of scarce materials not typically used in clothing. In addition, Marine Serre is highly regarded for expanding clothing into life by incorporating material upcycling into the theme of the collection. Third, handcrafted features include exaggerated decorations, logo, retro designs, and natural properties, and intentional utilization is differentiated. Marine Serre’s signature pattern suggests a suitable expression for the fabric to use the crescent moon for the season. Fourth, the collection expresses themes of inclusivity and cultural diversity. The results indicate that Marine Serre wants to contribute to a better future characterized by global coexistence.

In response to the global trend of making sustainable development an urgent task, luxury fashion brands actively embrace it in their corporate philosophies and management policies. However, despite the widespread consensus in the related industry and the strong will of companies for the sustainable development of luxury brands, there are still few cases of luxury fashion brands successfully implementing sustainable development. This study examined the impact of the types of message framing on the sustainability marketing of luxury fashion brands, focusing on their effects on perceived message effectiveness, sustainable brand image, and brand attitudes. An online survey was administered to 464 Korean consumers in their 20s to 40s to test the hypotheses. The results showed that perceived effectiveness was higher for negatively framed messages (loss) than for their positive counterparts (gain). The types of message framing did not significantly affect sustainable brand messages, and no significant difference in perceived brand image was found, regardless of message type. Perceived message effectiveness exerted a significant positive effect on sustainable brand image, and such an image had a significant positive effect on brand attitudes. The results provide implications for related research and practical implications for the development of competitive sustainability marketing strategies for luxury fashion—an industry still in its infancy.

본 연구에서는 지속가능한 코칭학을 ‘사회와의 적극적인 상호작용 속에서, 코 칭의 독자적 발전 및 사회적 공공성의 조화를 추구하는 학적 체계’로 정의하고, 지속 가능한 코칭학 구축을 위한 방안을 살펴보고자 했다. 이를 위해 그동안의 코칭 분야 연구 성과 및 코칭학 발전을 위한 연구자들의 제언을 분석하고 종합 하였다. 코칭 분야의 연구는 2000년대 초반 코칭이 국내에 도입된 이후로 꾸준한 양 적 성장을 보였다. 또한 다양한 학문 영역에서 코칭 관련 연구가 발표되었으며, 코칭의 특정 분야를 상세히 다루는 연구는 다소 비중이 적었음을 파악할 수 있 었다. 연구 주제에 있어서는 코칭의 효과 검증이나 변인 관련 연구 비중이 높게 나타났던 반면, 기초 이론에 대한 연구 비중이 낮음이 보고되었다. 연구 대상과 방법에 있어서는 기업 관련 인원을 연구 대상으로 한 연구들이 가장 많았다는 점, 양적 연구의 비중이 질적 연구에 비해 현저히 높았다는 점 등을 확인할 수 있었다. 이에 따라 기존의 연구자들은 연구 주제의 다양화 및 시의성 확보, 코칭에 대 한 기초 이론 연구 확대, 사회 문제와 연관된 연구 대상의 다각화, 새로운 연구 방법론 도입의 필요성 등을 주요한 과제로 제기했다. 이 같은 연구성과를 바탕 으로 본 연구에서는 지속 가능한 코칭학 구축을 위하여 코칭학과 동양 철학과의 학제 간 연구의 필요성, IPA와 같은 새로운 연구 방법의 지속적 도입, 사회적 이슈에 밀접하게 대응한 연구 수행을 후속 과제로 제시하였다.

본 연구의 목적은 한탄강 세계지질공원 연천 지역의 “자기-안내식 해설” 매체가 방문객이 이해하기 쉽고 배경 지식수준에 맞춰 작성되어 있는지 탐색하는 것이다. 이를 위해, 2022년 9월과 11월 2차례에 걸쳐 한탄강 세계지질공원 을 현장 조사하고, 지질명소의 형성 시대와 지질 특성이 다양한 연천 지역을 분석 대상으로 선정하였다. 연천 지역에 존재하는 총 36개의 자기-안내식 해설 매체를 대상으로 지질명소별 해설 매체의 현황, 이독성 수준, 그래픽의 특성, 과 학과 교육과정 반영 정도를 분석하였다. 연구 결과, 연천 지역 해설 매체 종류는 안내판이 가장 많고, 지질명소를 안내 한 내용이 주를 이루었다. 해설 매체 텍스트의 분량은 12학년 과학 교과서보다 많고, 평균 어휘 등급은 11-12학년군 과 학 교과서 수준과 유사하고, 복문의 비율이 높아 이독성이 다소 낮았다. 해설 매체에 포함된 그래픽의 종류는 사진이 가장 많고, 대부분 예시적 기능이며, 다중 구조 그래픽이 사용되어, 지질 형성 과정을 이해하는 데 도움을 주었다. 해설 매체에서 사용하는 과학 용어 중 86.3%가 2015 개정 교육과정의 “고체지구” 영역에 포함된 용어를 사용하였으며, 교육 과정에 포함된 과학 용어는 4학년 수준의 용어가 가장 많았다. 선택 교육과정인 11학년 수준의 용어가 두 번째로 많고, 전체 과학 용어 중 13.7%는 교육과정에 포함되어 있지 않은 용어였다. 또한, 지질명소에 따라 해설 매체에 사용된 과 학 용어 수준 차이가 나타났으며, 특히 안내판보다 홈페이지에 사용된 용어 수준이 일반적으로 높은 경향을 보였다. 본 연구 결과를 통해 연천 지역의 지질명소별 해설 매체에 따라 방문객 스스로 이해하는 데 어려움을 주는 요인을 구체적 으로 파악할 수 있었다. 일반 관람객의 지질자원 교육을 활성화하고 지질학 분야의 발전을 기대할 수 있는 자기-안내식 해설 매체의 개선 방향에 대한 후속 연구를 제언하였다.

2008년 미국에서 시작된 글로벌 금융위기로부터 시작된 자유주의 질 서 위기는 미국 패권 쇠퇴의 서막을 알렸고, 2010년 유로존 위기, 그리 고 Covid-19 대유행은 이를 서방 전체의 위기 심화로 만들었다. 따라서 중국의 부상은 미국 패권질서에 균열을 내며 ‘신냉전’ 국제질서를 형성시 키고, 러시아의 우크라이나 공습으로 이어지며 이는 실질화 되고 있다. 무엇보다 EU의 취약점인 군사안보 분야에 대한 강한 도전이라는 점에서 ‘서방’의 위기감은 공유되고 있다. 본 연구는 이러한 대외적 변화와 이에 대응하기 위한 EU의 안보정책과 그 전망에 대해서 살펴보았다. 그동안 경제적 우위에 기댄 대안 규범(시민)권력을 안보적 층위에서 고려해 온 EU의 군사안보가 정부간주의로 보완해 왔으나, 영국의 이탈과 NATO의 방치로 군사안보 공백을 어떻게 유인해 낼 것인가 하는 점은 향후 국제 질서를 가늠한데 요소라는 점에서 중요하다. 특히, EU가 NATO를 매개 로 인도태평양, 동아시아로 이어지는 군사적 횡단 연합 전선에서 어떤 역할을 맡게 될 것인지 하는 지점은 주요하게 살펴봐야 할 부분이다.

Many changes in the scale and structure of the Korean rice cropping system have been made over the past few decades. Still, insufficient research has been conducted on the sustainability of this system. This study analyzed changes in the Korean rice cropping system’s sustainability from a system ecology perspective using an emergy approach. For this purpose, an emergy table was created for the Korean rice cropping system in 2011, 2016, and 202, and an emergy-based indicator analysis was performed. The emergy analysis showed that the total emergy input to the rice cropping system decreased from 10,744E+18 sej year-1 to 8,342E+18 sej year-1 due to decreases in paddy field areas from 2011 to 2021, and the proportion of renewable resources decreased by 1.4%. The emergy input per area (ha) was found to have decreased from 13.13E+15 sej ha-1 year-1 in 2011 to 11.89E+15 sej ha-1 year-1 in 2021, and the leading cause was a decrease in nitrogen fertilizer usage and working hours. The amount of emergy used to grow 1 g of rice stayed the same between 2016 and 2021 (specific emergy: 13.3E+09 sej g-1), but the sustainability of the rice cropping system (emergy sustainability index, ESI) continued to decrease (2011: 0.107, 2016: 0.088, and 2021: 0.086). This study provides quantitative information on the emergy input structure and characteristics of Korean rice cropping systems. The results of this study can be used as a valuable reference in establishing measures to improve the ecological sustainability of the Korean rice cropping system.

The grassland section of the greenhouse gas inventory has limitations due to a lack of review and verification of biomass compared to organic carbon in soil while grassland is considered one of the carbon storages in terrestrial ecosystems. Considering the situation at internal and external where the calculation of greenhouse gas inventory is being upgraded to a method with higher scientific accuracy, research on standards and methods for calculating carbon accumulation of grassland biomass is required. The purpose of this study was to identify international trends in the calculation method of the grassland biomass sector that meets the Tier 2 method and to conduct a review of variables applicable to the Republic of Korea. Identify the estimation methods and access levels for grassland biomass through the National Inventory Report in the United Nations Framework Convention on Climate Change and type the main implications derived from overseas cases. And, a field survey was conducted on 28 grasslands in the Republic of Korea to analyse the applicability of major issues. Four major international issues regarding grassland biomass were identified. 1) country-specific coefficients by land use; 2) calculations on woody plants; 3) loss and recovery due to wildfire; 4) amount of change by human activities. As a result of field surveys and analysis of activity data available domestically, it was found that there was a significant difference in the amount of carbon in biomass according to use type classification and climate zone-soil type classification. Therefore, in order to create an inventory of grassland biomass at the Tier 2 level, a policy and institutional system for making activity data should develop country-specific coefficients for climate zones and soil types.