Italian ryegrass (Lolium multiflorum Lam.) is a major winter forage crop requiring improved drought tolerance under climate change. This study evaluated 42 accessions, consisting of 20 Korean cultivars and 22 exotic germplasm under four polyethylene glycol (PEG) concentrations (0, 10, 15, and 20%) to assess germination and early seedling responses to drought stress. Increasing PEG levels significantly reduced germination percentage (GP), germination energy (GE), germination index (GI), and seedling vigor index (SVI), while mean germination time (MGT) increased. At 20% PEG, GP decreased by approximately 74% compared with the control. Early seedling vigor, expressed as SVI (integrating fresh weight, shoot length, and root length) also declined depending on concentration. Germination traits (GE and GI) showed strong positive correlations with SVI, indicating that early germination performance was closely associated with subsequent growth under drought stress. Fuzzy comprehensive evaluation and principal component analysis consistently identified several accessions (Earlybird, IR602, IR901, Florida 98, Maximus, Orlando, and Moscovsky 74) as relatively drought tolerant. Overall, the integration of germination and seedling vigor index provides a reliable phenotypic screening approach for identifying drought-tolerant Italian ryegrass.

공유결합 유기 구조체(covalent organic framework, COF)는 정밀한 기공 설계와 우수한 구조적 안정성을 동시에 갖춘 새로운 다공성 유기 소재로, 기존 고분자 분리막이 지닌 투과도–선택도 한계를 극복할 수 있는 유망한 대안으로 주목받 고 있다. 본 총설에서는 2차원 COF를 분리막 소재 측면에서 정리하고, 모노머 수준의 분자 설계와 다양한 화학 결합 전략을 통해 기공 크기와 구조를 원자 수준에서 정밀하게 조절함으로써 높은 투과도와 선택도를 동시에 달성할 수 있다는 점을 그 주요 장점으로 논의한다. 용매열 합성, 계면 중합, 나노시트 조립, 혼합 매트릭스 막 등 2차원 COF를 제조하는 방법을 살펴 보며, 이렇게 제조된 2차원 COF 분리막의 응용 분야로서 기체 분리, 수처리 및 유기용매 나노여과, 그리고 이온분리에 대해 다루었다. 마지막으로, COF 분리막의 상용화를 위해 해결해야 할 기술적 과제와 향후 연구 방향을 제시하였다.

This study demonstrated that inlet moisture content is a critical factor influencing drying efficiency, production rate prediction accuracy, and feed value changes of Italian ryegrass (IRG) in a multi-stage conveyor-type hot-air forage dryer. The experiment was conducted by uniformly loading IRG at a fixed drying height of approximately 25 cm with four different inlet moisture contents (30, 40, 50, and 60%). Drying time increased exponentially with increasing inlet moisture content, and a strong linear relationship was observed between inlet moisture content and the time required to reach 15% moisture, enabling the development of a reliable drying time prediction model. The proposed model showed high applicability and prediction accuracy at inlet moisture contents of 30–40%, where predicted and measured production rates were in close agreement. However, at inlet moisture contents of 60% or higher, the model substantially overestimated production rates, indicating limitations under high-moisture conditions. This behavior was attributed to reduced airflow penetration and diminished heat and mass transfer efficiency caused by increased material thickness and particle mass at high moisture levels. Feed value analysis revealed that crude protein content decreased by 12–20% following hot-air drying compared with fresh material, while ether extract, crude ash, and fiber components were not significantly affected. No significant differences in crude protein loss were observed among treatments with inlet moisture contents of 60% or lower. In conclusion, the multi-stage conveyor-type hot-air dryer and the proposed prediction model are suitable for drying Italian ryegrass at inlet moisture contents of 40% or lower and can be effectively applied under practical operating conditions. However, at inlet moisture contents of 60% or higher, improvements in airflow distribution within the dryer or the incorporation of moisture-dependent correction factors are required to enhance drying performance and prediction accuracy.

도로의 기하구조(종단경사, 평면 곡선반경)는 차량의 속도 변화, 제동 거리, 원심력 등에 직접적인 영향을 미쳐 주행 안전성과 사고 위험을 결정짓는 핵심적인 설계 요소이다(Park et al., 2008). 따라서 도로 유지관리 측면 에서 이러한 기하선형 정보를 정밀하게 측정하고 관리하는 것은 필수적이나, 준공 후 장기간이 경과하거나 관 리 체계가 다원화된 경우 데이터가 누락되어 통합적인 활용에 한계가 있다. 이에 본 연구는 설계도면이 부재한 대규모 도로망의 안전 진단 및 위험 구간 판단 근거를 마련하기 위해, GIS(Geographic Information System) 기반 노드·링크 시스템의 평면선형 데이터와 공개 DEM(Digital Elevation Model)을 활용하여 전국 고속국도의 기하구조를 추정하는 경제적이고 보편적인 방법론을 제안하고 자 한다.

Ultra-high temperature ceramics (UHTCs) exhibit extremely high melting points (> 2,500 °C) and maintain structural stability under severe conditions. However, their intrinsic brittleness and oxidation vulnerability limit their direct application in aerospace components exposed to extreme environments. To overcome these limitations, UHTC-based composites reinforced with secondary phases such as ZrO2 are required to improve fracture toughness and oxidation resistance. The polymer infiltration and pyrolysis (PIP) process provides a promising fabrication route for such composites, offering densification of porous matrices with liquid precursors while maintaining uniform microstructures. Here, we report a novel zirconia precursor (PZC-12) synthesized through a sol-gel reaction of zirconium propoxide with acrylic acid (1:2 molar ratio). The liquid precursor exhibited a suitable viscosity (~518 cP) and enabled dual crosslinking via hydroxyl condensation combined with radical polymerization of vinyl groups. Consequently, effective thermal curing was accomplished upon heating at 80 °C for 12 h. This strategy minimized premature decomposition and achieved a high ceramic yield of 52.7 %. Pyrolysis at 600 °C in air produced nanosized t-ZrO2, which transformed into m-ZrO2 with grain growth at higher temperatures. Applied in PIP, a ZrB2-ZrO2 composite was successfully fabricated, demonstrating that dual crosslinking is critical for high-yield, reliable PIP-based UHTC composites.

This study investigated the use of weakly supervised learning (WSL) and partial annotation-based semantic segmentation for recognizing ingredients in the traditional Korean dish bulgogi. A dataset was created to encompass various cooking stages and imaging conditions, with pixel-level labels generated for major ingredients: beef, onion, green onion, carrot, chili pepper, mushroom, button mushroom, and king oyster mushroom, using partial annotations. To enhance model robustness, data augmentation techniques such as rotation, scaling, horizontal flipping, and color jittering were employed. The DeepLabV3+ architecture was utilized, with ResNet50 and ResNet101 serving as backbone networks. The results demonstrated that ResNet50 provided stable performance with lower computational costs, while ResNet101 achieved higher segmentation accuracy for smaller or visually complex ingredients. Models trained with data augmentation showed improved recall and F1-scores, especially for smaller ingredient classes. Overall, both backbone models exhibited consistent performance across key segmentation metrics, including mean Intersection over Union (mIoU), precision, recall, and F1-score. These findings indicate that WSL, in conjunction with partial annotation, can effectively facilitate ingredient-level segmentation in mixed dishes like bulgogi.

The growing global demand for Agaricus bisporus has focused on automated harvesting systems, prompting the adoption of artificial intelligence to enhance precision and efficiency. This study aimed to prove the possibility of automated analysis for mushroom phenotypic traits including pileus diameter and color parameters (L*, a*, b*) by using AI model, YOLOv11-seg. Mushroom images were obtained in custom-designed imaging chamber and image training was processed using YOLOv11-seg. By achieving an mAP50 of 0.96, model demonstrated high detection and segmentation performance with stable predictive behavior. To evaluate biological validity, predicted phenotypic traits were compared with mechanically measured values. Pearson correlation coefficient analysis showed that the correlation coefficient for chromaticity was above 0.69, while the correlation coefficient for shoulder diameter was very low at 0.03. Linear regression analysis showed correlations above 0.69 for all phenotypic traits, indicating that the model analysis reflected the actual measurement variation well. Mean absolute error (MAE) analysis showed less than 10% error of 1.32, 2.43, 0.55, and 0.90 in pileus diameter, L*, a*, and b*, respectively, resulting in significant model accuracy. Based on these results, YOLO-based estimation of pileus area was processed to prove the model’s capacity to extract phenotypic traits beyond the limits of traditional analysis. These results indicate that AI models including YOLOv11 show the possibility of the automated growth monitoring for the next-generation smart cultivation systems.

Tricholoma matsutake, one of the most favorable ectomycorrhizal mushrooms, forms a symbiotic relationship with its host, Pinus densiflora. In this study, co-cultivation of T. matsutake mycelium with bacteria from fairy rings was conducted to explore artificial cultivation. Among the isolates tested, strain B22_9_B28 promoted mycelial growth across five T. matsutake isolates: KMCC05631 from Yangyang-gun (124.23%), KMCC05632 and KMCC05633 from Yeongdeok-gun (127.68% and 156.61%, respectively), and KMCC05634 from Yeongdong-gun (153.31%), and KMCC05644 from Bonghwa-gun (171.59%). 16S rRNA sequence analysis suggested that B22_9_B28 may represent a novel species of Paenibacillus. These results highlight the potential of a new Paenibacillus species with pan-regional growth-promoting effects on T. matsutake mycelium, offering a promising avenue for the artificial cultivation of this valuable mushroom.

In this study, the development of a new white beech mushroom (Hypsizygus marmoreus) cultivar, ‘Baekmaru24’, is described, and its growth characteristics and field adaptability are evaluated. ‘Baekmaru24’ was bred from the parent strains, KMCC05528 and KMCC05529, through controlled crossing and multi-stage line selection, resulting in the final elite line, ‘HWD-22-116’. Mycelial growth tests demonstrated that the cultivar had superior growth under low temperatures (10–15 °C) and on YM medium, with optimal growth at 20–25 °C. In indoor bottle cultivation, the per-bottle yield was 146 g per 850 mL, which was 8% higher than that of the control cultivar (135 g). The fruiting bodies had stipes with a mean of 70.5 mm, which is approximately 10 mm longer than that of the control, and they had highly uniform clusters, enhancing marketability. Field trials at two farms confirmed a significant increase in yield of approximately 11 % over existing commercial cultivars, together with a generally superior morphology, including larger caps, longer stipes, and greater tissue firmness. Somatic incompatibility testing revealed a distinct demarcation zone between ‘Baekmaru24’ and its parent strains, indicating that it is a genetically independent cultivar. Overall, these results demonstrate that ‘Baekmaru24’ has stable growth, high productivity, and favorable fruiting-body characteristics under both controlled and farm conditions, supporting its potential as a high-quality commercial mushroom cultivar.

This study was conducted to develop a fish-based Multi-metric Index (MMI) for assessing the ecological health of lake ecosystems using fish assemblage data collected from the national lake biomonitoring program between 2022 and 2024. A total of 34 fish assessment metrics widely used in the United States, Europe, and Korea were first reviewed for applicability, from which 16 candidate metrics were selected. These candidate metrics were then evaluated in terms of statistical distribution characteristics, correlations with water quality variables, redundancy among metrics, and consistency with existing river-based metrics used in Korea. Based on these evaluations, eight core indicators and four supporting indicators were finalized. For ecological health scoring, boundary values for metric scoring classes were determined using percentiles (10-25-50-75-90%), and metric weights were applied to ensure balanced contribution and discriminative power among classes. The final set of metrics consisted of three indicators in the Diversity/Richness category, two in the Trophic category, two in the Tolerance category, and one in the Individual Health category, collectively reflecting the ecological responses of fish assemblages in lake environments. The developed MMI framework is expected to provide a robust and applicable tool for future ecological assessments and management of lakes in Korea.

재생에너지의 빠른 확산과 함께 수소에너지는 지속 가능한 산업을 위한 대안으로 점차 주목받고 있으며, 특히 넷 제로(Net-Zero) 탄소 배출 달성에 핵심적인 에너지원으로 인식되고 있다. 수소 생산 기술 중 수전해는 고순도의 그린 수소를 생성할 수 있는 방법으로, 이 중 알칼라인 수전해는 저비용 소재 활용과 대규모 상용화 가능성 측면에서 유망한 기술로 주목 받고 있다. 전형적인 알칼라인 수전해 시스템은 전극, 액상 KOH 전해질, 그리고 다공성 분리막으로 구성되며, 분리막은 이온 전달뿐만 아니라 전극 간 물리적 분리와 수소/산소 크로스오버 억제 기능을 동시에 수행하는 핵심 요소이다. 최근에는 고분 자/KOH/H2O로 이루어진 3상 구조를 활용하는 이온 솔베이팅 분리막이 기존 다공성 격막의 가압/차압 운전의 어려움과 수소 차단성 한계를 극복할 수 있는 대안으로 주목받고 있다. 본 리뷰에서는 다양한 이온 솔베이팅 분리막 고분자 시스템의 연구 진전을 정리하고, 이들의 분자 설계 전략, 성능 특성 및 평가 방법을 소개한다. 마지막으로 차세대 알칼라인 수전해 전해질막 개발을 위한 남은 과제와 향후 연구 방향을 논의한다.

In this study, when Butyl ether, a type of diether-based oxygenated fuel, is mixed in each volume ratio in a naturally aspirated direct injection diesel engine, the exhaust gas emission characteristics of the oxygenated component in the fuel affect each operating area of the engine I wanted to investigate the effect on. For comparative measurement of engine performance and exhaust emissions, commercial diesel and butyl ether mixed fuels were classified into 4 types according to the mixing ratio and tested. As the content of butyl ether in fuel increases, soot emission reduction increases, and when the maximum mixing amount of butyl ether (diesel 80vol-% + BE 20vol%) is applied, compared to the case of using only diesel as fuel, at 2500 rpm and no load, 39%, and about 32% of smoke reduction effect at full load was confirmed.