Environmental DNA (eDNA) has emerged as a promising tool for aquatic biodiversity monitoring, yet its collection in lentic ecosystems remains technically constrained by filtration capacity and field logistics. In this study, we applied a novel eDNA concentration system, QuickConcTM, to evaluate freshwater mussel diversity in lakes, and compared its performance with the conventional GF/F filtration method. Water samples were collected from four reservoirs at surface, mid, bottom, and waterside layers, and processed using both filtration techniques. Metabarcoding of mitochondrial 16S rDNA revealed that QuickConcTM captured a higher average number of amplicon sequence variants (ASVs) and exhibited greater species richness and diversity indices (Shannon and Simpson), although the differences were not statistically significant. QuickConcTM samples showed a greater capacity to detect rare taxa and to recover higher ASV richness in certain cases, suggesting its potential to enhance biodiversity resolution. Species composition remained consistent across methods, with Cristaria plicata and Sinanodonta lauta being dominant in both cases. However, slight spatial variations in species assemblages were observed between center and waterside sampling points, highlighting the influence of habitat heterogeneity on eDNA distribution. Overall, our results demonstrate that the QuickConcTM system offers a practical and efficient alternative to traditional filtration methods for eDNA-based freshwater mussel monitoring, particularly in environments with high suspended solids. The findings underline the need for adaptive sampling strategies that consider both methodological and ecological factors when designing eDNA surveys in lentic ecosystems.

Springtails (class Collembola) play a crucial role in soil ecosystems. They are commonly used as standard species in soil toxicity assessments. According to the ISO 11267 guidelines established by the International Organization for Standardization (ISO), Allonychiurus kimi uses adult survival and juvenile production as toxicity assessment endpoint. Conventional toxicity assessment methods require manually counting adults and larvae under a microscope after experiments, which is time-consuming and laborintensive. To overcome these limitations, this study developed a model using YOLOv8 to detect and count both adults and juveniles of A. kimi. An AI model was trained using a training dataset and evaluated using a validation dataset. Both training and validation datasets used for AI model were created by picturing plate images that included adults and larvae. Statistical comparison of validation dataset showed no significant difference between manual and automatic counts. Additionally, the model achieved high accuracies (Precision=1.0, Recall=0.95 for adults; Precision=0.95, Recall=0.83 for juveniles). This indicates that the model can successfully detect objects. Additionally, the system can automatically measure body areas of individuals, enabling more detailed assessments related to growth and development. Therefore, this study establishes that AI-based counting methods in toxicity assessments with offer high levels of accuracy and efficiency can effectively replace traditional manual counting methods. This method significantly enhances the efficiency of large-scale toxicity evaluations while reducing researcher workload.

Autonomous vehicle (AV) technology is rapidly entering the commercialization phase driven by advancements in artificial intelligence, sensor fusion, and communication-based vehicle control systems. Real-world road testing and pilot deployments are increasingly being conducted, both domestically and internationally. However, ensuring the safe operation of AVs on public roads requires not only technological advancement of the vehicle itself but also a thorough pre-evaluation of the road environments in which AVs are expected to operate. However, most previous studies have focused primarily on improving internal algorithms or sensor performance, with relatively limited efforts to quantitatively assess how the structural and physical characteristics of road environments affect AV driving safety. To address this gap, this study quantitatively evaluated the compatibility of road environments for AV operation and defined the road conditions under which AVs can drive safely. Three evaluation scenarios were designed by combining static factors such as curve radius and longitudinal gradient with dynamic factors such as level of service (LOS). Using the MORAI SIM autonomous driving simulator, we modeled the driving behaviors of autonomous vehicles and buses in a virtual environment. For each scenario, the minimum time to collision (mTTC) from the moment the AV sensors detected a lead vehicle was calculated to assess risk levels across different road conditions.The analysis revealed that sharper curves and lower service levels resulted in significantly increased risk. Autonomous buses exhibited a higher risk on downhill segments, autonomous vehicles were more vulnerable to uphill slopes and gradient transitions. The findings of this study can be applied to establish road design standards, develop pre-assessment systems for AV road compatibility, and improve AV route planning and navigation systems, thereby providing valuable implications for policy and infrastructure development.

Purpose This study aimed to develop and evaluate a simulation-based autotransfusion device training program to enhance the clinical performance, performance confidence, and educational satisfaction of post-anesthesia care unit (PACU) nurses. Methods: A single-group pretestposttest study was conducted with 30 PACU nurses. The program, based on the ADDIE model, included orientation, simulation training, and debriefing. Data were collected using validated tools before and after the program and analyzed using the Wilcoxon signed-rank test. Results: Clinical performance improved from a median of 30.00 to 43.00 (Z =−4.78, p < .001). Performance confidence increased from 31.00 to 47.50 (Z =−4.71, p < .001), while educational satisfaction rose from 26.00 to 40.00 (Z =−4.73, p < .001). Conclusions: The simulation-based program effectively enhanced the clinical performance, performance confidence, and education satisfaction of PACU nurses. These findings underscore the value of simulation-based training for enhancing nurses’ competence in using complex, high-risk medical devices.

현대 미술은 시각 중심에서 다감각적 경험으로 확장되며, 감각을 통한 인식과 참여의 새로운 가능성을 제기하고 있다. 이러한 변화 속에 서 다감각적 예술 경험이 관객의 주체성과 자율성 형성에 어떠한 역할을 하는지 고찰하기 위해, 본 논문은 김민지, 박호은, 현세진의 작업을 사례로 다양한 감각을 통해 유도되는 신체적·감각적 개입과 그 구조, 맥락, 관객의 감각적 경험을 중심으로 분석하였다. 이를 바탕으로 관객의 감각 경험이 신체적 자각을 출발점으로 삼아 감각의 확장과 전이, 환경 및 사회적 맥락과 상호작용하며 자기인식과 해석으로 이어지는 과정을 탐구하였다. 본 연구는 미학, 심리학, 신경과학, 정치학 등 다학제적 관점에 기반하여, 다감각적 경험의 층위와 관객 주체성의 형성과 확장 과정을 조명하였으며, 다감각적 예술 경험이 단순한 참여나 인터렉션의 형태로 소비되는 데 머무르지 않고, 관객이 기존의 관습이나 구조에 대해 성찰하고 질문하며 이견을 형성하는 주체적 존재로 확장될 수 있는 가능성을 시사한다. 나아가, 다감각적 경험이 관객으로 하여금 수동적 감상자를 넘어 자신의 감각과 신체, 환경과의 관계에서 주체적으로 의미를 재구성하고 자기화할 수 있는 실천의 통로로 작용함을 제시한다.

This study was conducted to evaluate the germination rate, chemical composition, and in vitro digestibility of sprouted barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.) sprouts depending on cultivar and growth duration. Four cultivars Keunalbori1ho, Saekeumkang, Arijinheuk, and Jokyoung were tested under hydroponic and nutrient solution conditions. The germination rate was significantly higher under hydroponic conditions compared to nutrient solution treatment. Sprouts were harvested at 0, 4, 6, and 8 days for subsequent analysis. Chemical compositions, such as dry matter (DM), crude protein (CP), ether extract (EE), and crude ash (CA), were analyzed following AOAC (2005) protocols, while neutral detergent fiber (NDF) and acid detergent fiber (ADF) contents were determined according to the method of Van Soest et al. (1991). In vitro digestibility was assessed by incubating ground samples with rumen buffer in DaisyII incubators for 48 h. At day 6 of growth, Keunalbori1ho showed the highest NDF and ADF concentrations (48.6% and 26.2%), reflecting its high structural fiber and the lowest digestibility (IVDMD 52.2%, IVNDFD 37.2%). However, it maintained consistent nutritional characteristics across all growth stages, suggesting potential as a stable forage source. In contrast, Saekeumkang exhibited the highest IVNDFD (59.1%) along with relatively low NDF (30.5%) and ADF (16.7%) values (p<0.05), indicating superior digestibility likely attributed to a simpler cell wall structure and higher NFC availability. Notably, digestibility sharply declined by day 8, implying that the optimal harvest window lies around day 6. Therefore, this study suggests that the cultivars Keunalbori1ho and Saekeumkang possess complementary strengths in terms of chemical composition and digestibility, underscoring the importance of optimizing cultivar selection and harvest timing to enhance the potential of cereal sprouts as high quality forage.

Dietary fiber plays a important role in improving gut micriobiome and reproductive performance in gestating sows. This study aimed to evaluate effects of dietary supplementation with domestically produced alfalfa, provided in pelleted or mashed form, on body weight, body condition, litter performance, fecal score and fecal microbiome in gestating sows. A total of nine crossbred F1 gilts (Yorkshire × Landrace) with an average body weight of 230.33 ± 12.63 kg at 50 days of gestation were randomly assigned to three dietary treatments (n = 3 per treatment): (1) control (CON, basal diet), (2) Pellet (basal diet + 10% pelleted alfalfa), and (3) Mash (basal diet + 10% mashed alfalfa). Results indicated that alfalfa supplementation had no significant effect on weight gain during gestation (p>0.05), although sows in both alfalfa-supplemented groups showed numerically reduced weight loss during lactation compared to the control. The mashed alfalfa improved average daily weight gain of piglets during lactation (p<0.05). Moreover, the pelleted alfalfa alleviated constipation and numerically increased the relative abundance of positive microbes such as Firmicutes (phylum level), Lactobacillaceae and Ruminococcaceae (family level), and Clostridium_sensu_stricto_1, Lactobacillus, and Ruminococcaceae_UCG_002 (genus level) (p<0.05). On the other hands, it numerically decreased the relative abundance of negative microbes such as Proteobacteria in phylum level and Escherichia_Shigella in genus level. These findings suggest that domestically grown alfalfa, particularly in pellet or mash form, may be a valuable dietary fiber source for gestating sows to support piglet performance, gut health, and welfare. However, further studies with larger sample sizes are warranted to confirm these effects.

The Indian Ocean is the second-largest tuna fishing ground in the world, accounting for approximately 1.2 million tonnes (23%) of the estimated 5.2 million tonnes of global commercial tuna catch in 2023. This study examined the relationship between tuna catches, specifically skipjack, bigeye, and yellowfin tunas, and prey biomass (Nautical Area Scattering Coefficient, NASC) estimated from acoustic surveys conducted in the southwestern Indian Ocean from 20 April to 15 May 2019. Environmental variables were derived from the Copernicus Ocean Model, and tuna length data from the IOTC. The estimated total tuna catch in the study area was approximately 166,400 tonnes, with the northwestern region showing the highest catches and NASC values. Tuna catches increased with NASC; however, the relationship was non-linear. While skipjack showed no significant correlation with NASC, bigeye and yellowfin tunas exhibited weak but significant positive correlations. Environmental analysis revealed that the northern waters had high surface temperatures, low salinity, and low oxygen levels, with mid and deep layers characterized by low temperature, salinity, oxygen, and chlorophyll. These findings offer a foundation for understanding tuna distribution in relation to prey and environmental conditions, highlighting the need for future species- and fishery-specific studies to support sustainable tuna resource management.

이 연구의 목적은 일부 외국인 환자의 구강건강 및 치과치료 현황을 분석하고 외국인의 구강건강증진안 개발에 필요한 기초 데이터를 제공하 고자 한다. 연구자료는 2019년 12월부터 2023년 4월까지 서울 C치과를 방문한 외국인 환자 305명의 치과 차트에서 수집 및 분석되었다. 우식경 험영구치, 치조골, 기능 치아, 치과치료 필요 및 수요를 IBM SPSS 28.0 프로그램을 사용하여 분석했다. 연구결과 우식치아는 상악, 하악의 2대구 치에서 높게 나타났고 충전치아는 상악 중절치, 상악 우측 2대구치, 하 악 1대구치에서 높게 나타났으며 상실치아는 상악과 하악 1대구치가 가 장 높게 나타났다. 충전치료가 필요한 우식치는 3.83개, 신경치료가 우식 치는 4.60개, 상실 치아는 1.27개, 치료치아는 1.18개로 나타났다. 하악 구치부에서 치조골 흡수율이 높았고, 기능치아는 25.7개로 나타났다. 환 자의 국적에 따라 치주 치료와 임플란트 치료의 필요성은 유의한 차이가 있었다(p <0.05). 또한 보험가입 유무에 따른 치주치료와 발치율에 유의한 차이가 있었다(p <0.05). 결과적으로 저작기능이 높은 구치부는 우식 발생 률이 높았고, 국가별, 보험 가입별로 치료 요구도에 차이가 있었다. 구강 건강을 개선하기 위해서는 정기검진을 통해 질병을 조기에 발견하고 치 료하는 것이 요구되었다.

어선은 다른 어선들과 근접 운항하는 경우가 많아 선회 반경이 작고 빠른 방향 전환이 가능해야 한다. 어선은 또한 파도와 조류 의 영향을 많이 받기에 순간적인 조종이 필요한 경우가 많다. 해양교통안전정보시스템에 따르면 10톤 미만의 소형 선박에 대한 사고는 전 체 사고의 69%에 해당하며 접촉, 충돌, 좌초가 주요인인 사고는 낮은 조종성능으로 인한 사고이다. 이에 소형 어선에 대한 조종성능 평가가 필요하다. 본 연구에서는 4.99톤급 소형 어선을 대상선으로 선정하여 CFD 기반 수치해석 프로그램인 STAR-CCM+을 활용하여 주요 제원 변 화에 따른 조종성능 시뮬레이션을 구축하였다. 조종 성능 평가로는 ∘ /∘ zig-zag test, ∘ /∘ zig-zag test, ∘ portside turning test를 진행 하였다. zig-zag test에서는 L/B가 우세한 선형들이 B/D가 우세한 선형들과 Overshoot angle에서는 큰 차이를 보이지 않았지만 빠른 변침 속도 를 보였다. 반대로 Turning test에서는 B/D가 우세한 선형들이 L/B가 우세한 선형들보다 비교적 작은 선회 반경을 보였다. 이를 바탕으로 4.99톤급 어선의 초기설계 단계에서 조종성능을 고려한 주요 제원을 선정할 수 있는 기초자료로 사용될 수 있을 것으로 기대한다.