염화동 에칭 공정에서 발생한 철염 폐수를 전구체로 활용하여 마그네타이트(Fe3O4)를 합성하고, 이를 인산염 흡착 및 회수에 적용하였다. 합성 조건 최적화를 위하여 Box–Behnken Design를 적용한 반응표면분석법(Response Surface Methodology, RSM)을 활용하여 회귀모델을 구축하였다. 모델을 통해서 도출한 최적 합성 조건은 Fe3+/Fe2+ 비율 1.7, NaOH 농도 0.7 N, 숙성 시간 86.3분으로 확인되었다. 해당 조건에서 합성된 마그네타이트는 10.9 mg-P g-1 마그네타이트의 인산염 흡착 용량을 나타내었다. 기기 분석 결과, 최적화된 마그네타이트는 고순도 결정 구조와 초상자성 특성을 나타냈으며, 비표면적과 반응성이 향상된 것이 확인되었다. 또한 연속 회분식 반응조(Sequencing Batch Reactor, SBR)에 적용한 결과, 5회 반복 흡착–탈착 동안 평균 인산염 회수율은 46.6%로 나타났다. 유입 인산염 농도가 200 mg-P L-1의 고농도 조건에서도 회수율이 안정적으로 유지되어, 마그네타이트가 인산염 흡착제로서의 활용 가능성과 안정성을 입증하였다.

This study examines the implementation of CEFR Basic User-level descriptors within a systematic instructional design framework to support learner-centered instruction and formative assessment in Korean elementary English education. Focusing on Grades 3 and 4, the study aligned CEFR’s four communicative functions—reception, production, interaction, and mediation—with the 2015 Revised National English Curriculum. A CEFR-based self-assessment tool was developed and administered before and after instruction to measure learners’ perceived communicative development. Findings revealed functional gains across multiple communicative domains, with variation in growth patterns depending on learner group and task type. K-means clustering identified three learner profiles—low-growth, reception-focused, and high-growth—which informed differentiated instructional strategies tailored to learner needs. The results demonstrate that CEFR-informed self-assessment, when combined with systematic instructional design, enhances curriculum coherence and supports data-driven pedagogy. This study provides empirical evidence on the practical integration of CEFR descriptors in primary classrooms, highlighting their potential to inform learner diagnosis and guide targeted instruction in localized educational contexts.

The experiment was conducted to determine the effects of nitrogen fertilizer levels on seed production of Italian ryegrass (Lolium multiflorum Lam.) in mountainous regions of Gangwon Province. The 'Green Call' variety of Italian ryegrass was sown in Pyeongchang, Gangwon in September 2021. The experiment consisted of three nitrogen application levels (100, 120, and 140 N kg/ha) and was arranged in a randomized complete block design with three replications. Harvest was carried out on June 28. The plant height was tallest in the 140 N kg/ha treatment, but the difference was not statistically significant. Lodging resistance, disease resistance and winter hardiness showed no significant differences among treatments, although severe lodging occurred in all plots. The average spike length was 54.77 cm, with no significant difference among treatments, while the number of seeds per spike was highest in the 100 N kg/ha treatment. Seed yield increased with higher nitrogen levels, with an average of 2,820 kg/ha (based on air-dry weight). The average dry matter content of seeds and straw was 56.70% and 38.80%, respectively, with no significant differences among treatments. The average dry matter yield of residual straw after seed harvest was 4,144 kg/ha, with the highest yield observed in the 120 N kg/ha treatment. Meanwhile, the feed value of the harvested straw did not differ significantly among treatments. The average contents of ADF, NDF, CP, IVDMD, and TDN were 43.04%, 70.63%, 8.65%, 52.77%, and 54.88%, respectively. In conclusion, the optimal nitrogen fertilization level for Italian ryegrass seed production through autumn sowing in the mountainous areas of Gangwon Province was found to be 120 N kg/ha.

본 연구는 고향사랑기부제가 어떤 제도적 맥락에서 도입되었으며 그 과정에서 드러난 특징과 한계 무엇인가를 분석하기 위해 정책확산과 정 책이전 이론을 활용하는데 목적이 있다. 연구 방법으로는 문헌 검토와 비교 사례분석을 병행하였으며 일본의 제도와 한국의 고향사랑기부제를 법적 근거, 제도 설계, 운영 체계 측면에서 대조하고, 관련 이론의 판정 기준을 사례에 적용하였다. 분석 결과, 첫째, 한국의 고향사랑기부제는 일본 모델을 참조하면서도 국내 재정·행정 환경에 맞게 조정된 혼합적 정책이전의 특징을 보였다. 둘째, 제도 도입 과정은 점진적 확산이 아니 라 중앙정부 주도의 전국적 동시 시행이라는 하향식 확산 경로를 보여 주었다. 셋째, 세제 혜택의 상대적 부족, 법인 기부 불허, 기부금 편중 우려 등은 제도의 효과를 제약하는 요인으로 드러났다. 분석 결과를 토 대로 연구는 첫째, 세제 인센티브 강화, 둘째, 법인 기부 허용을 통한 재 원 다변화, 셋째, 지역 간 불균형 완화를 위한 보정 장치 도입, 넷째, 성 과 중심의 평가 및 환류 체계 구축이 필요하다는 정책적 제언을 제시하 였다. 나아가 본 연구는 고향사랑기부제가 단순한 제도 수용을 넘어 정 책확산과 정책이전이 복합적으로 작동한 사례임을 확인함으로써 지방재 정 확충과 지역균형발전 논의에 의미 있는 시사점을 제공한다.

This study was conducted to analyze odor regulation policies of major countries and explore development directions for Korea’s odor management system through international comparison. Korea has achieved significant progress in odor management over the past 20 years since the enactment of the Odor Prevention Act in 2004, including the establishment of real-time monitoring systems, integrated complaint management systems, and scientific management infrastructure in major odor management areas such as Sihwa-Banwol Industrial Complex and metropolitan landfills in Incheon and Daejeon. To identify potential development directions, a literature review and comparative analysis were conducted on four regions: the United States, the European Union, Japan, and Singapore. The analysis revealed that each region has developed unique approaches: Japan’s Odor Judge system (involving 3,352 active professionals) for measurement standardization; the United States’s citizen science-based monitoring systems, such as the Odor Explore project that utilizes community participation; the EU’s preventive management policies through the application of Best Available Techniques (BAT) and land use planning integration; and Singapore’s systematic management approach through its myENV app and urban planning integration. Based on Korea’s existing achievements and international experiences, this study identified eight development areas, including measurement system standardization, management scope expansion, integrated management system enhancement, real-time monitoring implementation, technology development investment, complaint resolution mechanism improvement, preventive management system enhancement, and information transparency enhancement. This study proposes development directions that build upon Korea’s current infrastructure and policy achievements, considering the country’s unique socio-economic conditions and environmental characteristics. These directions are expected to contribute to the continuous advancement of Korea’s odor management system while leveraging existing strengths and addressing future challenges.

공유 유기 골격체(covalent organic frameworks, COF)는 기능성을 정밀하게 설계하고 제어할 수 있는 결정성 다 공성 소재로서, 차세대 연료전지 멤브레인으로 주목받고 있다. 표준 양성자 교환막인 나피온(Nafion)은 높은 비용과 좁은 가 용 범위 등의 한계에 직면해 있다. 본 논문은 COF를 다양한 고분자 매트릭스에 도입하여 이러한 단점을 극복하기 위한 최신 연구 전략을 심도 있게 다룬다. 특히 양성자 교환막 연료전지(proton exchange membrane fuel cells, PEMFC), 음이온 교환막 연료전지(anion exchange membrane fuel cells, AEMFC), 그리고 고온(high-temperature) PEMFC (HT-PEMFC)용 COF 기반 복합막의 설계와 성능 특성에 집중한다. 다양한 COF 기능화 및 복합화 전략을 통해 이온 전도도, 기계적 강도 및 운전 안정 성을 향상시킨 주요 연구들을 비평적으로 논하며, 연료전지의 전반적인 효율 향상에 대한 COF의 잠재력을 조명한다.

Mycelium-based leather is a promising sustainable material that offers a biodegradable and animal-free alternative to conventional leather. However, ensuring its consistent quality during mass production remains a significant challenge owing to variability in biological growth and vulnerability to contamination. This study investigated the effects of surface modification and plasticization treatments on the structural and chemical properties of mycelial mats. Structural and chemical profile alterations were evaluated using hyperspectral imaging (HSI), Fourier-transform infrared spectroscopy, and scanning electron microscopy. HSI effectively detected these changes and surface defects nondestructively. It enabled precise differentiation between treated and untreated regions, thus supporting rapid and spatially resolved quality inspection. These results highlight the potential of HSI as an effective tool for evaluating the effects of pretreatment and monitoring contamination in mycelium-based leather production.

With the increasing number of aging buildings, the importance of structural safety inspections has grown significantly. Traditional methods for inspecting welding defects, such as visual inspection and magnetic testing, rely heavily on human expertise, making them time-consuming, costly, and subjective. To address these limitations, thermographic technology has been introduced as a non-contact alternative, significantly reducing both time and cost. Furthermore, by incorporating AI, an objective and automated evaluation of welding defects can be achieved. In this study, we propose an AI-based thermographic approach for detecting welding defects. To validate the applicability of this method, a Mock-up Test was conducted. Specifically, 12 types of welding specimens with 4 welding part were prepared, generating a dataset of 6,500 thermographic images. Among 7 regression algorithms tested, RF and EXT were selected due to their superior performance. By ensemble learning these two models, we developed a robust welding defect measurement algorithm. To further verify its effectiveness, we applied the developed algorithm to 2 real projects, evaluating its applicability using 450 thermographic images. The results of this study demonstrate the feasibility of AI and thermographic technology in welding defect detection, highlighting its potential to enhance the efficiency and reliability of structural safety inspections in aging infrastructures.