본 연구는 전남 겨울철 생산되고 소비되는 절화장미의 외적 품질과 연관된 내적품질 분석을 위해 수행되었다. 절화장미 5품 종 ‘캐롤라인’, ‘하젤’, ‘주밀리아’, ‘핑크 셀러브레이션’, ‘빅토리 아’의 절화수명은 6.5~18.4일 수준이었다. 절화장미의 외적품 질과 수명품질간 상관성을 확인하였다. 초장은 절화수명과 양의 상관관계(r = 0.45**)를 보였던 반면, 생체중(r = -0.56**)과 줄기 직경(r = -0.54**)은 강한 음의 상관관계를 나타냈다. 화탁 의 너비와 절화수명간 유의미한 상관관계(r = 0.45**)를 확인하 였고 이는 절화장미의 꽃 형태 특성을 통해 내적품질을 예측할 수 있다는 것을 시사한다

This study investigated seasonal variations in phytoplankton community composition and physicochemical water quality across 90 lakes in South Korea surveyed 2022 to 2024, and examined their relationships with environmental factors. Over the course of four seasons, a total of 952 phytoplankton taxa were identified, with Bacillariophyta (diatoms) and Chlorophyta (green algae) accounting for 64.2% of the total species richness. Diatom species such as Aulacoseira granulata, Fragilaria crotonensis, and Cyclotella meneghiniana were frequently observed regardless of season. In terms of cell density, Cyanophyta were dominant, comprising 85.1% on average, with particularly high summer densities driven by blooms of Microcystis aeruginosa and Aphanizomenon sp. In contrast, diatoms accounted for the highest relative abundance in winter (54.1%). Canonical correspondence analysis (CCA) revealed that Cyanophyta and Chlorophyta were positively correlated with water temperature, TP, COD, and Chl-a, whereas Bacillariophyta and Cryptophyta showed negative correlations with these variables. These results indicate that phytoplankton communities in Korean lakes are highly responsive to variations in temperature and nutrient concentrations, and that summer rainfall-driven nutrient inflow plays a critical role in triggering cyanobacterial blooms. This study provides a scientific basis for understanding seasonal ecosystem dynamics in Korean lakes and offers foundational data for eutrophication management and the development of biological water quality assessment indices.

A seismic intensity map, which describes ground motion distribution due to an earthquake, is crucial for disaster evaluation after the event. The ShakeMap system, developed and disseminated by the USGS, is widely used to generate intensity maps in many countries. The system utilizes a semi-variogram model to interpolate the measured intensities at seismic stations spatially. However, the default semi-variogram model embedded in ShakeMap is based on data from high seismic regions, which may not be suitable for the Korean Peninsula, categorized as a low-to-moderate seismic region. To address this discrepancy, this study aims to develop the region-specific semi-variogram model using local records and a region-specific ground motion model (GMM). To achieve this, we followed these steps: 1) collected records from significant earthquake events in South Korea, 2) calculated residuals between the observed intensities and predictions by the GMM, and 3) created semi-variogram models using weighted least squares regression to better fit short separation distances for PGA, PGV, SA0.2, and SA1.0. We compared the developed semi-variogram models with conventional models embedded in ShakeMap. Validation tests showed that the region-specific semi-variogram model reduced the mean squared error of intensity predictions by approximately 3.5% compared to the conventional model.

본 연구에서는 친환경적이고 경제적인 수용액 환경에서 금속-유기 골격체(metal-organic frameworks, MOF)인 UiO-66을 합성하는 방법을 개선하고, 합성 조건이 UiO-66의 표면적 및 결정성에 미치는 영향을 분석하였다. 합성 실험은 금 속 용액과 리간드 용액의 주입 순서 및 계면활성제(Tween 20)의 첨가 유무를 변화시키며 진행하였다. 그 결과, 리간드 용액 을 금속 용액에 주입하고 계면활성제를 사용하지 않은 경우, 표면적과 결정성이 더 높은 UiO-66을 얻을 수 있었다. SEM 및 XRD 분석 결과, 계면활성제의 첨가는 입자 크기와 결정 구조에 큰 변화를 주지 않았으나, BET 분석 결과 표면적 감소가 확 인되었다. 이는 합성 과정에서 계면활성제가 핵 형성과 결정 성장에 영향을 미칠 수 있음을 시사한다. 본 연구 결과는 수용액 기반 UiO-66 합성법의 최적화, 대규모 제조 공정 및 다양한 산업적 응용에 유용한 정보를 제공할 수 있을 것이다.

대규모 하천의 수량(river storage) 변동으로 인해 발생하는 지각 변형을 정량적으로 평가하기 위해, GNSS (Global Navigation Satellite System) 기반의 지각 변위 자료와 GRACE (Gravity Recovery and Climate Experiment) 인공위성 중력 자료, 그리고 WaterGAP 수리 모형 산출 자료를 종합적으로 분석하였다. 우리는 아마존 강 유역에 대해 수로에 집중되어 분포하는 하천 수량 변동을 선 형태의 하중으로 모형화하고, 이로부터 유발되는 지각의 탄성 변형을 계산해 GNSS 관측치와 비교하였다. 이를 통해, 이 지역에서 발생하는 계절적 지각 변위 중 하천 수량 변동에 기인하 는 성분을 선 하중 모형으로 성공적으로 설명할 수 있음을 확인하였다. 이러한 결과는 원격 탐사 자료를 활용해 대규 모 하천의 수량 변동을 추정할 수 있을 뿐 아니라, 이를 토대로 GRACE가 관측하는 육상 물 저장량(terrestrial water storage, TWS)에서 토양 수분이나 지하수 변동 등의 개별 요소를 분리 및 검증할 수 있는 방법론을 제시한다. 나아가, 본 연구에서 제안된 접근법은 기후 변화로 인한 수문학적 재해 예측과 수자원 관리 등 다양한 분야에서 더욱 정교한 해석과 활용을 가능하게 할 것으로 기대된다.

This study investigated the morphological characteristics and regional variations of leaves, flowers, and seeds of Quercus myrsinifolia Blume to understand its ecological adaptation and the effects of environmental factors. Samples were collected from Jinju, Hapcheon, and Sancheong, and nine leaf traits, six flower traits, and five seed traits were analyzed. Significant regional variations were observed, with Hapcheon exhibiting the largest leaf and flower sizes, while Sancheong showed the largest and heaviest seeds. Jinju recorded the smallest values for most traits. Principal Component Analysis (PCA) revealed distinct regional groupings, with Hapcheon displaying intermediate traits, Sancheong larger traits, and Jinju smaller traits. Correlation analysis identified strong positive relationships between leaf length and width, seed length and weight, and the number of staminate flowers and catkin width, highlighting key indicators for growth. Climate factors such as temperature and precipitation significantly influenced morphological traits, with higher temperatures negatively affecting leaf and seed sizes, while precipitation showed a weak positive correlation with seed weight. Among soil factors, pH and magnesium content were closely related to morphological traits. pH exhibited a negative correlation with leaf length and petiole length, while magnesium showed a positive correlation with seed weight and leaf width. These findings underscore the significant role of environmental factors in morphological variation and provide valuable insights for developing regionally adaptive breeding strategies. These findings provide foundational data for developing region-specific breeding strategies and cultivars for Q. myrsinifolia, contributing to ecological management and climate change adaptation strategies.

The world population is rapidly increasing; over the past 40 years, it has risen by 3.3 billion, reaching 7.8 billion people. Globally, Solanaceae plants contribute more than 6.5 million tons of food to the world’s diet, with potatoes being the fourth most produced crop, cultivated in over 300 countries. However, caution is necessary when consuming plants from the Solanaceae family, as they contain toxic substances known as alkaloids. While alkaloids can offer beneficial effects, such as antioxidants, anti-inflammatory compounds, and anti-cancer properties, tolerance to these compounds varies among individuals, meaning even very small amounts can have fatal effects.Among the major crops in the Solanaceae family, potatoes contain solanine and chaconine; tomatoes contain tomatine; and eggplants contain solasonine and solamargine. The concentration of these substances varies depending on the part of the plant, its developmental stage, and its variety. Additionally, levels can increase significantly due to environmental stress. The environment profoundly impacts the synthesis of secondary metabolites related to survival and defense. Research has confirmed that environmental conditions-such as high-temperature cultivation, low-temperature storage, drought and rainfall, strong light, weak light (shade conditions), and excessive fertilizer application-can increase alkaloid synthesis. Therefore, this study reviews research on alkaloids in Solanaceae crops.

This study examined the differences in the use of {ne} and {je} in Korean dramas from the 1990s and 2010s in terms of gender and discourse situations. The research focuses on how male and female characters use {ne} and {je} differently in public and private contexts for each era, and how these patterns have changed over time. The findings are summarized as follows. First, in the 1990s, men primarily used {je} in public settings and alternated between {ne} and {je} in private contexts, indicating a context-dependent usage pattern. Women, on the other hand, mainly used {je} in both public and private situations, but {ye} appeared more frequently in public settings, showing that women also adjusted their usage according to the context. Second, in the 2010s, men used both {ne} and {je} regardless of the discourse context, while women predominantly used {ne} across contexts. Third, compared to the 1990s, the use of {ne} in public situations increased for both men and women in the 2010s, indicating a notable change, while no change was observed in private settings.

The diagrid structural system has a braced frame that simultaneously resists lateral and vertical loads, and is being applied to many atypical high-rise buildings for aesthetic effects. In this study, a 60-story structure with twisted degrees of 0° to 180° was selected to determine seismic response control performance of twisted high-rise structures whether the diagrid system was applied and according to the reduction of braced frame material quantity. For this purpose, ‘Nor’ model without the diagrid system and the ‘DS’ model with the diagrid system, which was modeled by reducing braced frame member section to 700~400, were modeled. As a result, the 'DS' model showed an seismic response control effect in all Twisted models even when the quantity was reduced, and especially, the Twisted shape model was found to have an superior response control effect compared to the regular structure. In addition, the ‘600DS’ analysis model, which matched the ‘Nor’ model by 99.0% in quantity, showed an increase in seismic response control performance as the rotation angle increased.

We explored the effect of galaxy-galaxy interaction on the FIR-radio correlation of star-forming galaxies by comparing the qFIR parameter distribution between interacting and non-interacting galaxies. Our sample galaxies were selected from the SDSS Stripe 82 region, where relatively deep optical images are available in addition to ancillary FIR and radio data. The qFIR values were 2.73±0.49 and 2.53±0.90 for interacting and non-interacting galaxies, respectively. The t-test results indicated that the difference in qFIR values between the two categories is not statistically significant. Our findings align with those of previous studies suggesting that either FIR excess or radio excess occurs only transiently during brief timescales in the merger stages, rather than persisting throughout the majority of merger events identified by features such as tidal tails or double nuclei.

A variation of fish assemblage in the coastal waters of Sagye-ri, southern Jeju Island was determined using samples collected by trammel net from 2012 to 2022. The total fish species caught by trammel net were identified 88 species, 46 families, 12 orders, and the number of appearance and biomass were 3,479 individuals and 883.6 kg. The annual variation of species was the highest in 2013 at 46 species and the lowest in 2021 at 30 species. The seasonal variation of species was higher in summer at 67 species and lower in winter, autumn at 47 species. The annual diversity index, evenness index, and richness index were appeared 2.42-3.00, 0.69-0.78 and 5.18-7.24 at each years. The dominance index appeared highest in 2013 and the lowest in 2018. Cluster analysis based on the number of individuals of fish was classified into two groups at the dissimilarity level of 57%, and results of SIMPROF analysis revealed significant differences in community structure among the two groups. The subtropical fishes were identified a total of 42 species (47.7%) and the number of species was higher in 2013 at 25 (54.3%) species and lower in 2018 and 2021 at each 17 (54.8~56.7%) species. The dominant species of subtropical fishes were appeared rabbit fish (Siganus fuscescens), scarbreast tuskfish (Choerodon azurio), bluestriped angelfish (Chaetodontoplus septentrionalis), balloon fish (Diodon holocanthus), and flag fish (Goniistius zonatus) at study sites.

Lycium barbarum extract has a high potential to be developed as a health functional food due to the various health-promoting effects of Lycium barbarum. This study analyzed changes in nutritional and functional components depending on the extraction solvent (purified water and a mixture of purified water and alcohol) and the condition of the sample. The nutritional components (carbohydrates, protein, fat, ash), organic acids, amino acids, total phenolic compounds, and total flavonoids of the extract produced during the extraction process were analyzed. The nutritional composition and functional substances of the extracts showed some differences depending on the type of solvent and the condition of the sample. The amounts of crude protein (7.61%), crude fat (1.63%), carbohydrate (90.22%), and ash (0.54%) of dried Lycium barbarum extract using purified water as a solvent were similar to those of the powder sample extract. The highest content of citric acid was 4.31 mg/mL, similar to the case of acetic acid, when the powder sample used a mixture of purified water and alcohol as a solvent. The highest amino acid content was 357.39 mg/mL when the powder sample was mixed with purified water and alcohol as a solvent. The total amount of phenolic compounds was 686.16 g/L when the powder sample was extracted with a mixture of purified water and alcohol as a solvent. The highest total flavonoid content was 111.32 g/L when the powder sample was extracted with a mixture of purified water and alcohol as a solvent.

The integration of machine learning for species identification is becoming increasingly important in entomological research. However, automatic species identification faces significant challenges such as low resolution, sample discoration, and small dataset sizes, which impede the reliability of traditional machine learning methods. Building upon the previous research on quantification of the color patterns of Stenaptinus occipitalis jessoensis using R-based analysis, this study demonstrates how to overcome these challenges in training machine learning for species identification. This approach allowed us to successfully classify geographic variations of S. occipitalis. Our results demonstrate the model's ability to identify these variations, despite the small size of the image datasets. This advancement shed some light on the potential of machine learning to identify morphological variation in highly polymorphic species.

This study explored the changes in senescence patterns and vase life of cut roses grown in summer and autumn, aiming to identify the relationship between harvest seasons and flower longevity. We analyzed gene expression profiles associated with lignin, pectin, ethylene, auxin, and sucrose transport to understand the molecular mechanisms underlying senescence symptoms, such as the bent neck, petal abscission, and petal wilting in cut rose flowers. Our results revealed season-dependent occurrences of bent neck and petal abscission, with higher incidence rates in autumn-harvested rose flowers. These increases in bent neck and petal abscission contributed to a shortened vase life for the cut flowers. Gene expression analysis indicated that elevated levels of ethylene biosynthesis genes and reduced expression of lignin, pectin biosynthesis, auxin response factor, and sucrose transport genes accelerated the increased senescence symptoms. Notably, the incidence rates of the bent neck were highly negatively correlated with the transcript levels of key genes involved in lignin and pectin biosynthesis, RhPRXPX and RhGAUT1, in pedicels. These findings contribute to our understanding of the molecular factors influencing the mechanical strength of flower pedicels and provide insights for postharvest strategies to enhance the ornamental value of cut flowers across seasons.

자기공명(magnetic resonance, MR)영상에서 주로 발생하는 Rician 노이즈는 영상의 화질을 저하하는 주요 요소 중의 하나이다. 본 연구에서는 노이즈 제거에 효율적이라고 잘 알려진 총변이(total variation, TV) 알고리즘을 모 델링하여 Rician 노이즈 레벨에 따른 파라미터를 최적화하고자 한다. 시스템은 8채널 기반의 3.0 T 장치를 활용하였 고 물 팬텀 영상을 획득하여 각각 Rician 노이즈를 0.05, 0.10, 0.15, 그리고 0.20 값을 부가하였다. TV 알고리즘 은 Rudin-Osher-Fatemi 모델을 기반으로 모델링하였고 최적화를 수행하기 위하여 반복수 파라미터를 조정하여 획득된 영상에 적용하였다. 결과적으로 Rician 노이즈 레벨을 0.05, 0.10, 0.15, 그리고 0.20을 사용하였을 때 각 각 30, 40, 80, 그리고 120 반복수를 기반으로 한 TV 노이즈 알고리즘에서 가장 우수한 신호 대 잡음비(signal to noise ratio, SNR)와 대조도 대 잡음비(contrast to noise ratio, CNR) 결괏값이 도출되었다. 또한, 최적화된 반복수를 적용한 TV 알고리즘을 사용한 MR 영상에서 기존의 위너 및 중간값 필터를 사용하였을 때 비하여 SNR과 CNR 모두 우수한 값을 획득할 수 있었다. 특히 기본적으로 획득된 MR 영상보다 최적화된 TV 알고리즘을 적용한 영상의 평균 SNR과 CNR은 각각 3.11 및 3.31배 향상됨이 증명되었다. 결론적으로, 노이즈 제거 효율이 우수한 TV 알고리즘의 최적화된 파라미터를 활용한다면 MR 영상에서의 활용 가능성이 클 것으로 기대한다.