Ainsliaea acerifolia, a perennial herbaceous plant endemic to forested regions of the Korean Peninsula, has drawn attention for its bioactive properties and potential as a functional food and medicinal resource. Despite its ecological and economic value, little is known about its spatial distribution or habitat preferences under changing climatic conditions. This study aims to quantify the current and future habitat suitability of A. acerifolia in southeastern Korea—including Gyeongsangnam-do, Busan, and Ulsan—using the MaxEnt (Maximum Entropy) species distribution model. A total of 217 presence records were compiled from both GBIF data and field surveys, and seven key environmental variables were selected through multicollinearity screening. Model performance was robust (mean AUC = 0.845), and key predictors included topographic roughness (TRI), precipitation of the driest month (Bio14), and mean diurnal range (Bio2). Under current climate conditions, 31.5% of the study area was identified as suitable habitat (≥0.222), with only 4.7% categorized as core habitat (≥0.6). Future projections under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios indicated substantial habitat contraction, particularly in coastal and lowland areas, with refugial zones likely to persist in mid-elevation inland mountains (500–900 m). These findings suggest that A. acerifolia is highly sensitive to climatic variability and emphasizes the urgent need for conservation strategies focused on climate-resilient refugia and ecological corridors. The study provides a spatial framework for species conservation planning under future climate uncertainty.

Efficient donor-acceptor (D-A) molecular scaffolds should be developed for the advancement of organic solar cells (OSCs). Density functional theory (DFT) and time-dependent density functional theory (TDDFT) studies provide an effective methodology to perform initial studies to design and investigate D-A molecular systems. Two fluorine-substituted bis-benzothiadiazoles (FBBTs) are designed and optimized using the DFT method. The results show better planarity for FBBT2, which is attributed to π-extension between the FBBT units. A series of D-A small molecules CB1-4 are designed utilizing FBBT2 to study the effect of systematically substituting carbazole donor and cyano-based acceptor groups on the optoelectronic properties of FBBT. DFT calculations are performed using the B3LYP functional. The designed D-A scaffolds exhibit systematic tuning of the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO), HOMO-LUMO gap (from 2.333 eV to 1.825 eV). The observed HOMO-LUMO gap follows the trend CB1 > CB2 > CB4 > CB3. The Voc (open-circuit voltage) and power conversion efficiency (PCE) for CB1-4 are presented with the PC71BM acceptor. The overall trend observed for the Voc follows the order CB1 < CB4 < CB2 < CB3. The PCE trend observed using the Scharber model follows the trend CB3 > CB4 > CB2 > CB1. The results show that end cap modeling of π-extended FBBT with cyano-based acceptor groups significantly improves the observed PCE and Voc.

Due to the limited experimental data on the seismic performance of concrete-encased steel columns, standardized guidelines for nonlinear modeling parameters and acceptance criteria have not yet been developed. This study utilized analytical and numerical methods to predict the nonlinear behavior of concrete-encased steel columns with H-shaped steel sections. The findings of this study have direct and practical implications for the design and evaluation of concrete-encased steel columns. For instance, for concrete-encased steel columns constructed with normal-strength concrete and subjected to low-to-moderate axial load ratios, the yield rotation angle can be determined through fiber-based section analysis and analytical equations, and the nonlinear modeling parameter can be evaluated based on section analysis and the proposed empirical equation. For concrete-encased steel columns with high-strength concrete or high axial load ratios, inconsistencies between section analyses and experimental results are observed. Accordingly, the nonlinear modeling parameter a can be evaluated using the proposed empirical equation. The empirical equation was conservatively developed based on the modeling parameter criteria for reinforced concrete columns in ASCE 41-13.

Fabry disease is an X-linked lysosomal storage disorder caused by GLA mutations, leading to a deficiency in α-Galactosidase A activity and subsequent accumulation of globotriaosylceramide (Gb3). This accumulation contributes to progressive multiorgan dysfunction, with cardiovascular complications, particularly endothelial dysfunction and left ventricular hypertrophy being major drivers of disease morbidity and mortality. Although enzyme replacement therapy is currently the standard treatment, its effectiveness is limited in addressing advanced cardiovascular pathology. To better understand Fabry-associated vascular and cardiac phenotypes, an isogenic human induced pluripotent stem cell (hiPSC) model in which GLA was knocked out was developed using CRISPR/ Cas9. GLA-knockout (GLA-KO) hiPSCs were differentiated into endothelial cells (ECs) and cardiomyocytes (CMs) to evaluate disease-relevant phenotypes in vitro . GLA-KO ECs exhibited normal morphology and differentiation capacity but showed markedly impaired tube formation, high expression of inflammatory genes ICAM1, VCAM1, and SELE, and increased mitochondrial and cytoplasmic reactive oxygen species levels. GLA-KO CMs demonstrated enlarged cell size and nuclear translocation of NFATC4, consistent with hypertrophic remodeling. Together, these findings recapitulate key features of Fabry vasculopathy and cardiomyopathy in a genetically defined, human-derived system. This platform enables direct investigation of Gb3-induced oxidative and inflammatory mechanisms and provides a valuable model for the preclinical evaluation of therapeutic strategies targeting the cardiovascular manifestations of Fabry disease.

This study proposes a real-time content design pipeline optimized for Unreal Engine, integrating generative AI-based image creation with AI-assisted 3D modeling tools. The pipeline aims to streamline the production of high-quality assets for real-time applications, including games and simulations. Two types of subjects were selected: a bust combining organic character features, and a stone slab characterized by planar and symmetrical structure. Multi-angle image data were first synthesized using advanced generative AI models to simulate diverse viewpoints. These were then processed using AI-enhanced photogrammetry and modeling tools to reconstruct detailed 3D meshes and extract base textures. Post-processing steps, including mesh decimation, UV unwrapping, and texture baking, were performed to ensure compatibility with Physically Based Rendering (PBR) workflows used in Unreal Engine. The final assets were successfully imported into Unreal Engine, demonstrating visual fidelity and performance suitability in a real-time environment. The study confirms the pipeline’s potential for accelerating asset development and suggests promising future directions in AI-driven digital content creation.

본 연구에서는 지반-구조물 상호작용(SSI, Soil-Structure Interaction) 해석에서 계산 효율성과 해석 정확성을 동시에 확보하기 위해 철근 콘크리트 기둥의 단순 모델링 기법과 PML(Perfectly Matched Layer) 요소를 결합한 방법을 제안하였다. 단순 모델링 기법은 상 세모델과 비교하였을 때 강성 및 고유진동수 차이가 1% 이내로 나타나 구조물의 정적 및 동적 거동을 효과적으로 모사할 수 있음을 확인하였다. PML 요소를 적용한 SSI 해석은 반무한지반 모델 대비 계산 영역을 1/5로 줄이고, 해석 시간을 7% 수준으로 단축하면서 도 기둥의 고유진동수가 동일하게 나타났다. 이를 통해 PML 요소가 계산 비용을 대폭 줄이면서도 해석 결과의 정확성을 유지할 수 있음을 확인하였다.

Defense Modeling & Simulation (M&S) techniques are used for developing the efficiency and economics of national defense at operational level so that it maintains interoperability and reusability in sustainability for the following process of the war simulation. However, the lack of conceptual models was one cause of limiting the interoperability and reusability in defense M&S areas. In this paper, the Conceptual Model of the Mission Space (CMMS) is studied as preliminary process for the defense M&S. The conceptual modeling framework called CMMS-K (Conceptual Model of the Mission Space-Korea) is suggested using a case example in consideration of the Korean Army specification and characteristics. The practicality of CMMS-K is evaluated through the ontology development for military scenarios. It is expected that the gap between the theoretical approach and the practical perspective of defense M&S can be diminished through the use of these approaches.

This study proposes and verifies a next-generation 3D modeling pipeline integrating Generative AI and Photogrammetry techniques. Two types of objects were selected for experimentation: a bust combining characteristics of both objects and characters, and a stone slab exhibiting planar and symmetrical features. Firstly, videos depicting these objects from various viewpoints were generated using generative AI models. Secondly, these videos were processed through Photogrammetry software to produce high-quality 3D meshes and diffuse textures. Lastly, post-processing including high and Low-polygon mesh separation, UV unwrapping, and texture baking was performed, successfully producing Physically Based Rendering (PBR)-compatible game assets. The proposed pipeline demonstrates significant potential for practical applications across various industries, and further advances in generative AI and future research are expected to broaden this novel approach to digital asset creation.

본 연구는 빅데이터 분석을 활용하여 국내 한류 연구의 동향을 파악하고, 향후 연구 방향을 제시하는 것을 목적으로 한다. 이를 위해 2014년부터 2024년까지 학술연구정보서비스(RISS)에 발표된 KCI 등재 학술논문 중 ‘한 류’를 검색어로 1,793편의 데이터를 수집하였다. 분석대상은 논문명, 주제어, 초록 등이며, 분석도구로는 소프트웨어 R을 활용하였다. 연구결과는 다음과 같다. 첫째, 주요 한류 소비국가에서의 콘텐츠 소비와 한국어 학습과의 상호 작용을 분석하는 것이 필요하다. 둘째, 한류 콘텐츠의 디자인과 제작 방식이 주목받으며, 이에 대한 저작권 이용 사례가 증가하고 있으므로 글로벌 시장 에서의 디자인 및 제작 전략을 정교화하기 위한 연구가 필요하다. 셋째, 콘 텐츠의 창의성이 한류의 핵심 경쟁력임을 고려하고, 시청자의 적극적 참여를 유도하는 확산 전략을 모색해야 한다. 넷째, 한류가 국가 브랜드 형성에 미 치는 영향을 분석하고, 특히 관광 및 화장품과 같은 소비재 산업과의 연계를 강화할 필요가 있다. 또한 한류 연구가 콘텐츠 및 시장 중심의 담론에서 정 책적, 제도적 관점의 담론으로 진화하고 있음을 감안하여 한류의 지속가능성 을 위해서는 경제적 관점과 제도적 관점을 분리하기보다 서로 상호보완적이 며 다학제적으로 접근하는 것이 필요하다. 마지막으로 제도적 관점에서의 한 류 연구에서 연구 간 데이터 및 지표 활용과 같이 정보흐름이 더욱 강화되 어야 한다. 본 연구는 한류 연구의 동향과 주요 연구주제를 분석함으로써 한 류연구의 현재와 향후 방향성을 제시하였다는 점에서 의의를 가진다.