This study investigates the factors influencing the seed longevity of Quercus myrsinifolia, a species with recalcitrant seeds highly sensitive to desiccation and freezing. The effects of moisture content, seed collection date, and storage methods on seed viability were analyzed using exponential decay modeling. Interactions between these factors were also explored to refine conservation strategies. Seeds with moisture content above 40% demonstrated a predicted seed longevity of 2.19 years, whereas those with moisture content below 30% had seed longevity of less than 1 year. Late-season seeds collected in November and December exhibited superior germination percentages and longer predicted seed longevity (1.32 years) compared to early-season seeds collected in September and October (<1 year). In seed weight, large seeds (2.0 g) showed longer predicted seed longevity about 1.5 times greater than that of small seeds (<1.2g). Storage methods significantly affected seed longevity, with refrigerator (4°C) with silica gel maintaining viability for 2–3 years, while seeds stored at room temperature (25°C) exhibited a seed longevity of less than 1 year. Silica gel was found to prevent seed deterioration due to over-desiccation, emphasizing the importance of balanced moisture regulation. Q. myrsinifolia seeds exhibited 𝑏 values ranging from 0.30 to 2.04, demonstrating a close relationship between decay constant, moisture content, storage conditions, and seed longevity. These findings provide critical insights into optimizing seed storage and propagation strategies for Q. myrsinifolia, contributing to its conservation and ecological restoration efforts.

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.

본 연구는 국립수목원 내 전문전시원에 발생한 이입식물을 대상으로 2015년부터 2023년까지 이입식물 분포조사를 시행 하였다. 그 결과 자생식물 299종, 귀화식물 49종, 재배식물 13 종 총 63과 214속 361종이 조사되었다. 국화과가 63종으로 가장 많았고, 벼과, 사초과 순으로 발생하였다. 이입식물의 이입 경로를 분석하기 위하여 광릉숲에 분포하는 식물상과 비교 분석 한 결과 309종이 광릉숲에 분포하는 식물로 확인되었으며, 전 문전시원 내 식재 식물이 확산된 경우가 17종으로 조사되었다. 조사된 귀화식물 49종을 원산지별로 구분하면 유럽과 북아메리카가 69.4%, 이입 시기별 1기와 3기의 비율이 90%를 차지하였 다. 귀화식물의 귀화도 분포 등급을 적용한 결과 4등급 이상이 면서 이입 시기가 3기인 식물 9종은 빠르게 확산할 우려가 큰 식물이므로 지속적인 모니터링이 필요하다. 국립수목원에 어느 정도 귀화식물이 분포하는지를 가늠하는 도시화지수를 산출한 결과 15.0%로 나타났으며, 환경부 지정 생태계교란 야생식물 중 돼지풀, 단풍잎돼지풀, 애기수영, 미국쑥부쟁이가 출현하였 다. 이입식물은 자생식물군락과 전문전시원 내 관람로에 침입하 여 세력권을 확장하고 우점하는 경향이 있어 각각의 생태적 특 성을 고려한 제거 방법이 필요하다.

최근 다양한 기술의 발달로 인하여 시간과 공간의 제약 없이 관람객에게 사실감과 현장감을 표 현하며 관람객에게 실제적인 감각을 선사하는 실감미디어에 대한 관심과 시장이 늘어나고 있다. 모든 미디어는 기술 발전에 따라 더 실제적인 감각을 선사할 수 있는 콘텐츠를 제공한다. 기존 사각형의 영상 프레임에 머물던 디스플레이의 형태를 감상하는 환경과 다르다. 이러한 360도 영상은 콘텐츠 제작, 영상 렌더링 플랫폼 및 영상 이미징 장비 등 다양한 분야에서 적용되고 있 다. 전방위적인 360도를 제공하는 돔 형태를 통한 실감미디어 콘텐츠의 사례가 국내와 국외적 으로 늘어나고 있다. 하지만 이러한 상황에 비하여 360도의 돔 형태를 활용한 실감미디어의 콘 텐츠 사례 연구가 부족한 상황이다. 따라서 이 논문에서는 360도의 영상 개요를 살펴보며 돔 형태 영상의 디스플레이가 가진 특성을 알아보았다. 본 논문을 통해 360도 돔 형태를 활용한 실감미디어의 콘텐츠 사례들을 살펴보며, 이를 통하여 360도 영상을 기반으로 돔 형태를 활용 한 실감미디어 콘텐츠를 기획하려는 다양한 영상 창작자들에게 보탬이 되고자 한다.

Helicobacter pylori are known as a causative agent of gastritis, gastric duodenum and peptic ulcer, and gastric cancer, and multiple drug use is associated with various side effects in patients. The discovery of antibacterial substances against H. pylori from Korean resource plants is an important substitute for antibiotics. 52 species of Korean resource plants were collected and extracted with 50% ethanol, and antibacterial activity against H. pylori was measured using the disk diffusion method. The toxicity of plant extracts to human gastric adenocarcinoma(AGS) cells was measured by MTT assay, and the level of IL-8 secreted when gastric epithelial cells were inoculated with H. pylori was measured. As a result of measuring the antibacterial activity of H. pylori, antibacterial activity was confirmed in 38 plant extracts. The plant species with the strongest antibacterial activity were Chrysanthemum indicum, Rheum rhabarbarum, Patrinia scabiosaefolia and Petasites japonicus. C. indicum was not cytotoxic to H. pyroli-infected AGS cells and showed anti-inflammatory effects. This study's results can be used to develop healthy, functional foods and medical materials.

The chemical composition of 86 species of native plants in Korea, including plants to be afforestation, was analyzed. The chemical composition of the species analyzed was different. The species with the highest extractable content was Viburnum dilatatum (3.91%), and the species with the lowest extractable content was Ligustrum lucidum (0.11%). The lignin content ranged from 12 to 39%, with an average of 25%. The species with the highest lignin content was Chaenomeles lagenaria (39.37%). Hemicellulose content ranged from 18 to 52%, with the highest species being Thuja occidentalis (51.22%) and Eucommia ulmoides (48.84%). Cellulose content ranged from 25 to 58%, and the species with the highest content were Prunus serrulata (57.67%), Diospyros kaki (57.14%), Aesculus turbinata (53.29%), Albizia julibrissin (53.02%), and Zelkova serrata (52.29%). The chemical composition was different for each use taxon of 86 plant species. The lignin content was the highest in the fruit group and the lowest in the group other than recommended species for afforestation. Cellulose content was highest in non-reforestation-recommended tree species and lowest in fruit trees. In classification according to tree height, lignin content was higher in shrubs than in tall trees, and cellulose content was highest in tall trees. Between deciduous and evergreen trees, the lignin content was high in deciduous trees (26.46%), and the cellulose content was also high in deciduous trees (44.01%). As a result of analyzing the correlation between each compound, there was a difference. There tended to be a positive correlation between extractives and lignin content. There was a negative correlation between extractives and holocellulose content, hemicellulose and cellulose. The higher extract content affected the cellulose content much more than hemicellulose. Also, the higher the lignin content, the lower the cellulose content. The species with low lignin content and high cellulose content were Diospyros kaki and Prunus serrulata var. spontanea. This result is expected to be primary data for bioenergy, pulp industry and bioindustry.

최근 다양한 생성형 인공지능 프로그램 기술이 발전하며, 대중적으로 상용화되면서 생성형 인공지능을 활용 한 미디어아트의 창작사례가 늘어나고 있다. 사진의 등장이 기존의 회화 작품을 대체하지 않고 새로운 예술 형태로 존재한 것과 같이 생성형 인공지능 기술을 활용한 미디어아트 예술 표현 또한 새로운 방식과 형태로 존재할 수 있다. 논문에서 열거한 생성형 인공지능 프로그램을 활용하여 창작된 사례들과 같이 하나의 작품 으로 증명이 되고 있다. 이에 본 논문에서는 인공지능의 의미와 역사적으로 형성된 생성형 인공지능을 활용 한 작품 사례들을 살펴보고, 다양한 형태로 존재하고 있는 생성형 인공지능 프로그램을 기반으로 형성된 미 디어아트 작품을 분석해보고자 한다. 이를 통하여 방대한 빅데이터를 기반으로 존재하고 있는 생성형 인공지 능의 기술을 자유롭게 창작자가 예술작품으로 사용하며 다채로운 형태로 전시된 미디어아트의 제작과 방법 론에 보탬이 되고자 한다.

The effect of the surrounding vegetation on the seed germination and growth of mountain-cultivated ginseng (MCG, Panax ginseng C.A. Meyer) was investigated. Seed germination rate and growth were tested for allelopathy effects on four forest tree species after treatment with fallen leaves and leaf extracts. In the case of soil treatment through fallen leaves and crushed leaves, the germination rate was lower in the Quercus myrsinifolia treatments, and the average germination time was slower when Chamaecyparis obtusa was treated. In the case of Pinus densiflora and Quercus variabilis, which are used in most of the MCG cultivation areas, they did not have a significant effect on seed germination. In the fallen leaves treatments, the stem showed a tendency to lengthen. The hot water extract treatment showed a higher germination percentage than the cold water extract treatment. The extract treatment showed a deficient germination percentage of some MCG seeds. However, in the case of the treatments except for this, the germination percentage was similar to that of the control treatment. However, the Mean Germination Time, germination rate, and germination value were faster and higher than the control treatment. As a result of calculating the allelopathic index (AI) of MCG according to the extract treatment of 4 species, most had a negative effect on germination, and P. densiflora and Q. variabilis extracts showed the most significant effect. The ginsenoside content was higher in the fallen leaves treatment than in the control. The above results will help select and manage MCG plantations.

Non-destructive estimation of leaf area is a more efficient and convenient method than leaf excision. Thus, several models predicting leaf area have been developed for various horticultural crops. However, there are limited studies on estimating the leaf area of strawberry plants. In this study, we predicted the leaf areas via nonlinear regression analysis using the leaf lengths and widths of three-compound leaves in five domestic strawberry cultivars (‘Arihyang’, ‘Jukhyang’, ‘Keumsil’, ‘Maehyang’, and ‘Seollhyang’). The coefficient of determination (R2) between the actual and estimated leaf areas varied from 0.923 to 0.973. The R2 value varied for each cultivar; thus, leaf area estimation models must be developed for each cultivar. The leaf areas of the three cultivars ‘Jukhyang’, ‘Seolhyang’, and ‘Maehyang’ could be non-destructively predicted using the model developed in this study, as they had R2 values over 0.96. The cultivars ‘Arihyang’ and ‘Geumsil’ had slightly low R2 values, 0.938 and 0.923, respectively. The leaf area estimation model for each cultivar was coded in Python and is provided in this manuscript. The estimation models developed in this study could be used extensively in other strawberry-related studies.