Spirodela polyrhiza (L.) has been known as greater duckweed or great duckmeat. It is native inhabited in Korea. It is considered as a rich source of primary metabolites including protein, carbohydrates, and fats. Thus, it is considered as an alternative food source for the future. In addition, it has a strong phytoremediation capacity to remove various environmental pollutants, especially inorganic elements and pesticides. With a variety of duckweed’s application, there is an urgent need to develop a cultivation method for a sustainable supply of S. polyrhiza. In this study, an indoor vertical farm has been introduced to optimize duckweed cultivation. Indoor cultivated S. polyrhiza showed about 2-fold higher fresh weight than outdoor cultivated duckweed. Contents of inorganic elements were also significantly reduced in indoor cultivated S. polyrhiza. Especially, lead (Pb), cadmium (Cd), and arsenic (As) were approximately 10-fold decreased in indoor cultivated duckweed. On the other hand, contents of proteins and fats were significantly increased in indoor cultivated S. polyrhiza, while carbohydrates were found more in outdoor cultivated S. polyrhiza. Increasing N content in a homemade nutrition solution also enhanced fresh and dried weights of S. polyrhiza by about 1.8-fold in comparison with other commercial nutrition solutions. Proliferation rate (%) was doubled every 24 hours in this indoor vertical farm, indicating the accomplishment of a sustainable supply for S. polyrhiza. Further studies need to be undertaken to cultivate other duckweeds such as Wolffia arrhiza and Lemna minor using the same indoor farming system.

Vertical takeoff and landing (VTOL) drones are increasingly recognized as an important solution for last-mile delivery in the food and beverage sector, owing to their rapid deployment capabilities and high operational flexibility. In particular, growing interest in drone delivery services has been observed among fast food and coffee franchises, where rapid delivery is essential due to the time-sensitive nature of food and beverage items intended for immediate consumption. Despite this trend, there remains a lack of research on the structural modeling of flight routes for VTOL drones operating under automatic flight conditions, and on the implementation of first-come-first-served (FCFS) delivery services utilizing predefined flight routes. Accordingly, this study comprehensively describes the operations for food and beverage delivery services using VTOL drones. In particular, it addressed the use of multiple drones to conduct FCFS-type multi-point delivery services along fixed routes suitable for automatic flight.

Anomaly detection technique for the Unmanned Aerial Vehicles (UAVs) is one of the important techniques for ensuring airframe stability. There have been many researches on anomaly detection techniques using deep learning. However, most of research on the anomaly detection techniques are not consider the limited computational processing power and available energy of UAVs. Deep learning model convert to the model compression has significant advantages in terms of computational and energy efficiency for machine learning and deep learning. Therefore, this paper suggests a real-time anomaly detection model for the UAVs, achieved through model compression. The suggested anomaly detection model has three main layers which are a convolutional neural network (CNN) layer, a long short-term memory model (LSTM) layer, and an autoencoder (AE) layer. The suggested anomaly detection model undergoes model compression to increase computational efficiency. The model compression has same level of accuracy to that of the original model while reducing computational processing time of the UAVs. The proposed model can increase the stability of UAVs from a software perspective and is expected to contribute to improving UAVs efficiency through increased available computational capacity from a hardware perspective.

목적 : 안경광학과 학생들의 의사소통 역량과 안경사 윤리강령 인식 간의 상관성을 분석하여, 예비 안경사의 핵 심 직무 역량 강화를 위한 교육 프로그램 개발의 기초 자료로 활용하고자 한다. 방법 : 본 연구에서는 안경광학과 재학생 98명을 대상으로 일반적 특성과 교육 경험 및 필요도는 빈도와 백분율 로 분석하였고, 최근 1년간 봉사 경험과 윤리적 가치 의식은 카이제곱 검정(chi-squared test)을 통해 분석하였 다. 또한, 의사소통 역량과 안경사 윤리강령 간의 상관관계는 Pearson 상관분석을 이용하여 분석하였다. 결과 : 의사소통 교육 경험 여부에 대해 77.55%가 경험이 있다고 응답했으며, 직업윤리 교육 경험 여부는 86.73%가 있다고 응답하였다고 답했다. 또한, 의사소통 역량의 필요성에 대해 81.63%가 필요하다고 응답하였다. 직무 관련 최근 1년간 봉사활동 경험과 윤리적 가치 및 직업의식 간의 연관성을 분석한 결과, 봉사 경험과 '우리 사 회의 근면성을 설명할 수 있다'라는 문항 간에 유의한 상관성(χ2=27.91, p=0.032)이 나타났다. 안경사 윤리강령과 의사소통 역량 간의 상관 분석 결과, '안경사는 품위를 유지하고 봉사 정신을 발휘해야 한다'와 '원활한 의사 표현을 방해하는 요인을 설명할 수 있다' 문항 간에 가장 높은 상관성(r=0.71, p<0.001)을 보였다. 결론 : 본 연구에서, 예비 안경사의 의사소통 역량 강화와 정직성을 바탕으로 한 직업윤리 확립의 필요성이 확 인되었다. 봉사 경험과 윤리적 가치 의식, 그리고 의사소통 역량과 안경사 윤리강령 간에 유의한 상관관계는, 다양 한 계층을 대상으로 한 비교과 프로그램을 체계적으로 구축하고 효과적인 교육 시스템 마련의 필요성을 시사한다.

더듬이긴노린재과의 미기록종인 Pachygrontha similis Uhler, 1896 (닮은더듬이긴노린재, 신칭)을 한국에서 처음으로 보고한다. 외부형질 과, 진단형질, 성충 표본과 생식기의 사진 그리고 한국산 더듬이긴노린재속의 분류 키를 제공한다.

Limited fashion products serve as a strategy for demonstrating the brand’s vitality and presence by satisfying the emotional needs of consumers seeking to escape from the boredom of similar products. The MZ generation values unique experiences and desires to purchase rare and unique products. Accordingly, the fashion industry prioritizes launching limited fashion products that emphasize artistry and can convey different values compared to existing products. The open-run phenomenon, characterized by people waiting in line before the store opens and then running to the store to purchase these limited products as soon as the store opens, is rapidly emerging as a consumer trend in our society. This study explored the impact of fashion consumers’ psychological factors-that is, FOMO, brand attachment, and need for uniqueness-on their open-run intention for limited fashion products. An online survey was administered to test the research hypotheses on Korean consumers, and 300 responses were statistically analyzed using the SPSS 28.0 program. The results revealed that FOMO, brand attachment, and the need for uniqueness significantly increased open-run intention for limited fashion products. Furthermore, consumers’ fashion involvement appeared to have a significant positive moderating effect on FOMO, brand attachment, and open-run intention. However, it did not substantially impact the effect of the need for uniqueness on open-run intention.

Cucumber mosaic virus (CMV) poses a considerable threat to a diverse array of crops in global agriculture. CMV impacts commercially important cut lilies by diminishing both yield and flower quality. We used RNA sequencing (RNA-seq) to investigate the changes in gene expression in the leaves and bulbs of four distinct cultivars of cut lily, ‘Cancun,’ ‘Brunello,’ ‘Connecticut King,’ and ‘Casa Blanca’ following CMV infection. Notably, CMV affected photosynthetic processes by significantly downregulating genes associated with photosynthesis. In addition, CMV infection was detrimental to chloroplast function and energy production. We observed differential expression of genes associated with both dominant and recessive resistance pathways that are crucial for preventing virus entry, replication, and systemic spread within the plant. Based on functional annotation and differential gene expression analysis, we identified the regulatory genes involved in triggering immune responses, modulating signal transduction, and specific host factors during CMV infection. To validate the RNA-seq findings, we selected four genes involved in resistance, virus multiplication, and virus spread and analyzed them using real-time quantitative reverse transcription PCR (qRT-PCR) with specific primers. The qRT-PCR results aligned closely with those from RNA-seq, showing consistent fold-change responses for the genes that were differentially expressed, indicating that the RNA-seq results were reliable. These results deepen our understanding of the complex genetics behind plant-virus interactions while also providing information for breeding programs that aim to develop CMV-resistant lily cultivars.

The swallowing reflex is modulated by multiple sensory inputs, such as bolus volume, viscosity, and taste. The interactions among different types of sensory information have been extensively studied. However, the influence of oral temperature on bolus volume perception has not been investigated. The aim of this study was to assess the effect of temperature on volume perception sensitivity in healthy individuals. Five volumes (5, 10, 15, 20, and 25 mL) of distilled water were estimated at three different temperatures, 4℃ (cold), 21℃ (room temperature), and 45℃ (warm), using a visual analogue scale. There were no significant differences in the sensitivity of oral volume perception across temperatures. These findings suggest that the ability to perceive bolus volume remains stable under temperature variation.

This study aims to develop an AI-based analysis system that aligns with the international trend of AI legislation, including the EU's AI Act, while also addressing the analytical needs of the public sector. The focus is on providing timely and objective information to policymakers and specialized researchers by exploring advanced analytical methodologies. As the complexity and volume of data rapidly increase in the modern policy environment, these methods have become essential for governments to obtain the objective information needed for critical decision-making. To achieve this, the study integrates machine learning, natural language processing (NLP), and Large Language Models (LLM) to create a system capable of meeting the analytical demands of government entities. The target dataset consists of “quantum” field data collected from South Korea's National R&D Information System (NTIS). Machine learning was applied to this data to assess the validity of the analysis, while BERTopic, a natural language analysis package, was used for text analysis. With the introduction of LLMs, the extracted information from machine learning and natural language analysis was not merely listed but also connected in meaningful ways to provide policy insights. This approach enhanced the transparency and reliability of AI analysis, minimizing potential errors or distortions in the data analysis process. In conclusion, this study emphasizes the development of a system that enables rapid and accurate information provision while maintaining compatibility with international AI regulations such as the AI Act. The use of LLMs, in particular, contributed to enhancing the system’s capabilities for deeper and more multifaceted analysis.

Lumpy Skin Disease (LSD) and Foot-and-Mouth Disease (FMD) cause substantial economic losses on the livestock industry. Therefore, vaccinations have been implemented as the control strategy in endemic countries. However, the potential adverse effects of administering vaccines for both diseases simultaneously have not been thoroughly evaluated. The aim of this study was to assess the impact of vaccinating dairy cows with either or both LSD and FMD vaccines on milk production and physiological parameters such as milk temperature, rumination time and body weight. The experimental groups were divided into four according to the injection materials: 1) saline, 2) LSD vaccine, 3) FMD vaccine, and 4) both vaccines. The impact of vaccination on milk yield and physiological parameters was evaluated daily until 12 days post-vaccination, and milk components were analyzed twice, once per week. Among the experimental groups as well as each vaccine group, no statistically significant differences (p < 0.05) were observed at milk yield, milk components, or milk temperature. This suggests that simultaneous vaccination of LSD and FMD can be administered without adverse effects.

We previously reported that pyridoxine and its derivatives exert antidiabetic effects by alleviating postprandial hyperglycemia via inhibition of carbohydrate-hydrolyzing enzymes in normal sprague–dawley (SD) rats. In this study, we aimed to further evaluate whether long-term pyridoxal supplementation decreases the blood glucose levels using SD rats. SD rats were randomly assigned to groups fed a high-carbohydrate diet (66.1% cornstarch) with or without pyridoxal (4%) for 36 days. Changes in body weight, blood glucose levels, and food intake were measured daily for 36 days. Dietary supplementation with pyridoxal significantly decreased the blood glucose levels (P<0.001) and body weight (P<0.001) in mice. Glycated hemoglobin (HbA1c) levels, which are good indicators of plasma glucose concentrations over prolonged periods, were also significantly decreased over five weeks (P<0.001). Similarly, dietary treatment with Acarbose ® (0.04%), a positive control, also significantly decreased the blood glucose and HbA1c levels and body weight. Overall, our findings suggest that pyridoxal inhibits weight gain and alleviates postprandial hyperglycemia by decreasing glucose absorption and HbA1c levels.

A 17-year-old spayed female Shih Tzu dog, weighing 5.0 kg, presented with frequent coughing and respiratory distress. Blood tests revealed mild thrombocytosis, and thoracic ultrasonography and radiography confirmed a significant amount of pleural effusion. However, the thoracic radiographs showed no radiopaque nodules or interstitial patterns indicative of thoracic tumors. Thoracentesis was performed to relieve effusion-induced thoracic pressure, yielding a hemorrhagic serosanguinous pleural fluid. The cytological analysis of this fluid revealed mesothelial cells, supporting the clinical diagnosis of mesothelioma in situ. To address the patient’s clinical symptoms, an aggressive management approach was implemented with chest tube placement to address recurrent pleural effusion after initial thoracentesis. During treatment, the patient exhibited stable health and adapted well to daily life. To the best of our knowledge, this is the first reported case of mesothelioma in situ with hemorrhagic malignant pleural effusion in South Korea. Using a chest tube as an aggressive treatment successfully alleviated dyspnea symptoms and provided symptomatic relief in a patient with mesothelioma in situ.