최근 국내에서는 온라인 거래를 통한 화훼류의 판매가 증가 하고 있다. 온라인 플랫폼의 종류에 따라서 각기 다양한 운송 시스템과 포장 방법을 이용하고 있지만, 품질과 관련된 정보가 부족한 실정이다. 특히, 일반 택배 배송을 이용하는 직거래 방식 은 다양한 외부 환경에 노출되기 때문에 품질에 문제가 발생할 수 있다. 절화장미는 외부의 환경에 노출되는 통기 구멍이 있는 포장 박스와 외부의 환경과 단절된 밀폐된 포장 박스가 사용되 고 있다. 포장 박스의 종류에 따른 절화장미의 품질을 조사한 결과 통기구가 있는 포장 박스를 이용하여 택배 운송한 절화장 미는 운송 중의 낮은 습도로 인해 생체중 감소가 높아 품질이 하락하였다. 밀폐된 포장 박스를 이용해서 운송한 절화장미는 통기 구멍이 있는 포장 박스를 이용해 운송한 절화장미보다 생 체중 감소는 작았지만, 포장 박스 내부의 온도가 높아져 품질이 하락하였다. 내부가 코팅된 밀폐형 포장박스 내부에 절화장미와 함께 냉매를 동봉하여 포장 후 운송하면, 운송 중 포장박스 내부 의 온도를 경감하고 품질을 보존하는 효과가 있었다.

Maize (Zea mays. L) is one of the major sources of green fodder for livestock in Pakistan. Crop management plays a key role in obtaining high yields for green fodder. Fertilizer application, seed rate, and row spacing are critical components of crop management, which can significantly affect crop biomass. To determine the best production technology, a two-year (2021-2023) study was conducted at the research area of National Agricultural Research Center, Islamabad. Plant height, number of leaves, leaf area, green fodder yield per acre, and green fodder yield per hectare were recorded. Various row spacing (15 cm, 30 cm, 45 cm, and 60 cm), fertilizer ratio (N: P = 55:30, 65:40, 75:50, and 85:60), and seed rates (30 kg/ac, 35 kg/ac, 40 kg/ac, and 45 kg/ac) were applied. Results obtained experiments revealed that in both growing seasons, the maximum green fodder yield was obtained when fertilizer N: P ratio was 75:50 (green fodder biomass: 74.61 t/ha and 72.56 t/ha). Similarly, the optimal seed rate was found to be 40 kg/ac, which resulted in the highest green fodder yield (73.41 t/ha and 72.88 t/ha in two seasons). Furthermore, the plant of maize at row spacing of 30 cm was found to generate the maximum green fodder yield (72.39 t/ha and 72.40 t/ha, respectively). Green fodder yield per hectare was found to be positively correlated with plant height, number of leaves, and leaf area. These findings underscore the significance of applying a fertilizer ratio of N: P = 75:50, a seed rate 40 kg/ac, and a row spacing of 45 cm for higher yields of green fodder in maize crop.

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.

This study explored factors affecting variability in second language (L2) learning motivation among Korean university students and how they appraised their L2 learning experience. In this study, 85 undergraduate students majoring in English or English education from three universities in Seoul, South Korea, reflected on their past English learning experience. They drew a motigraph and wrote a retrospective reflection essay covering their English learning that spanned over ten years. Researchers divided participants into two groups: a high variability (HV) group and a low variability (LV) group. Data were analyzed using open, axial, and selective coding. Findings suggest thncontextual factors such as the learning method, atmosphere, and situation were main (de)motivational factors for the HV group. In contrast, the LV group was (de)motivated by intrapersonal factors, including the learning context appraisal. These results imply that visualizing long and short-term goals and positive appraisal of the L2 learning experience can help L2 learners maintain a stable pattern in L2 learning motivation.

산마늘(Allium microdictyon)과 울릉산마늘(A. ulleungense) 은 수선화과(Amaryllidaceae) 부추속(Allium)에 속하는 다년 초 식물로 산마늘은 우리나라에서는 지리산, 오대산 등의 고산 지대, 울릉산마늘은 울릉도에 분포하고 있다. 본 연구는 산마늘 과 울릉산마늘의 휴면과 발아특성을 조사하여 효과적인 대량증 식법을 위한 기초자료를 제공하고자 수행하였다. 실험은 2021 년 7월에 강원도 정선에서 재배한 산마늘 종자와 2021년 8월에 울릉도에서 채종한 종자를 사용하였다. 수분흡수 실험결과, 산 마늘과 울릉산마늘 모두 수분흡수 3시간 만에 20% 이상의 수분 흡수율을 보여 물리적 휴면이 없는 것으로 판단하였다. 온도 처리(25/15, 20/10, 15/6, 5℃) 실험에서 패트리디쉬에 종자 를 치상 후 30일 이전에 5℃를 제외한 나머지 온도 처리에서 모두 발아가 나타났으며, 산마늘과 울릉산마늘 종자의 발아 적 온은 20~25℃인 것으로 확인되었다. 저온층적(0, 4, 8, 12주)처 리 결과, 산마늘과 울릉산마늘 종자 모두 발아율 향상에는 큰 효과가 없었지만, 저온층적처리 기간이 길어질수록 발아세가 증가하는 양상을 보였다. GA3 처리 결과, 산마늘 종자는 처리 농도 간 유의성이 나타나지 않았지만, 울릉산마늘 종자는 처리 농도가 높아질수록 평균발아일수 및 발아균일도에서 유의적인 차이를 나타냈다. 이러한 결과를 통하여 산마늘과 울릉산마늘 종자는 non-deep PD 유형인 것으로 판단된다.

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.

Visfatin, an adipokine secreted by cells, is crucial for intracellular nicotinamide adenine dinucleotide+ biosynthesis. Extracellularly, visfatin plays diverse roles in inflammatory conditions, including obesity, which is closely linked to osteoclastogenesis. We previously showed that visfatin enhances receptor activator of nuclear factor kappa-B ligand (RANKL)-induced osteoclastogenesis in bone marrow-derived macrophages. However, its enzymatic activity during this process is poorly understood. Here, we investigated visfatin’s effects on RANKL-induced osteoclast differentiation. Our results demonstrate that visfatin promotes this differentiation, an effect inhibited by FK866, an inhibitor of visfatin’s enzymatic activity. Furthermore, FK866 also inhibited RANKL-induced osteoclast differentiation. These findings suggest that inhibiting visfatin’s enzymatic activity modulates osteoclast differentiation. Thus, visfatin plays an important role in osteoclastogenesis, both intracellularly and extracellularly, and FK866 has therapeutic potential for diseases characterized by imbalanced osteoclast formation, such as osteoporosis and periodontitis.

This study investigated the impact of diabetes mellitus (DM) on phacoemulsification outcomes in dogs, focusing on blindness and postoperative complications. A retrospective analysis of 26 dogs (38 eyes) was conducted, comparing diabetic (n=4) and non-diabetic dogs (n=22). Postoperative outcomes were observed for 2 months, and Fisher’s Exact Test was used to assess statistical significance (p<0.05). Blindness occurred in 50% of diabetic eyes compared to 6% in non-diabetic eyes (OR=14.0, p=0.0116). Major complications included glaucoma and retinal detachment, both more common in diabetic dogs. Diabetic dogs are at a significantly higher risk of blindness after phacoemulsification, highlighting the need for thorough preand postoperative management to reduce complications that could lead to vision loss.

Effective cooling strategies are critical for cultivating high-quality ornamental plants during the summer. The fan-and-pad cooling system reduces greenhouse temperatures by drawing air through wet pads, which humidify and cool the air, aided by fans on the opposite side. However, the paper-based pads (corrugated cellulose) used in this system have limited durability and degrade with prolonged use. Nanocomposite hydrogels, with their polymer-based structure, can absorb and retain moisture through swelling, presenting a promising alternative. This study examines the application of nanocomposite hydrogels, focusing on their hygroscopic properties and cooling efficiency under various temperatures and wind speeds. When treated with lithium chloride solutions at 25%, 50%, 75%, and 100% saturation, higher LiCl concentrations reduced weight but increased swelling capacity. Optimal cooling effects were achieved with wind speeds of 1.0 m/s at 25°C and 1.5 m/s at 35°C, with greater efficiency observed at lower wind speeds. These findings suggest that integrating nanocomposite hydrogels into cooling pads could enhance durability and reduce maintenance compared with conventional paper pads.

가위벌과에 속하는 Coelioxys의미기록 2종 Coelioxys conoidea Illiger, 1806 와 Coelioxys formosicola Strand, 1913을 한국에서 처음으로 보 고한다. 본 종의 기재, 분포정보, 그리고 삽화를 제공한다.

This study aims to improve the interpretability and transparency of forecasting results by applying an explainable AI technique to corporate default prediction models. In particular, the research addresses the challenges of data imbalance and the economic cost asymmetry of forecast errors. To tackle these issues, predictive performance was analyzed using the SMOTE-ENN imbalance sampling technique and a cost-sensitive learning approach. The main findings of the study are as follows. First, the four machine learning models used in this study (Logistic Regression, Random Forest, XGBoost, and CatBoost) produced significantly different evaluation results depending on the degree of asymmetry in forecast error costs between imbalance classes and the performance metrics applied. Second, XGBoost and CatBoost showed good predictive performance when considering variations in prediction cost asymmetry and diverse evaluation metrics. In particular, XGBoost showed the smallest gap between the actual default rate and the default judgment rate, highlighting its robustness in handling class imbalance and prediction cost asymmetry. Third, SHAP analysis revealed that total assets, net income to total assets, operating income to total assets, financial liability to total assets, and the retained earnings ratio were the most influential factors in predicting defaults. The significance of this study lies in its comprehensive evaluation of predictive performance of various ML models under class imbalance and cost asymmetry in forecast errors. Additionally, it demonstrates how explainable AI techniques can enhance the transparency and reliability of corporate default prediction models.

This study explored how teachers could provide support to enhance students’ out-ofclass mobile-assisted language learning (MALL) engagement. We interviewed five Korean English teachers who used Class Card, a focal technology of this study, for their students’ self-directed vocabulary learning. Additionally, students of the interviewed teachers completed a survey on their perceptions of teacher support and MALL engagement. This study has three major findings. First, the teachers adopted either a proactive or a passive approach to promoting students’ out-of-class MALL engagement, which was influenced by their beliefs about whether teachers or students should be responsible for learning beyond the classroom. Second, all teachers provided orientation and behavioral support to enhance out-of-class MALL engagement, although the consistency and intensity in providing this support varied between proactive and passive teachers. Finally, students who perceived higher levels of teacher support reported greater out-of-class MALL engagement. We discuss the importance of classroom-based teacher support to enhance MALL engagement beyond the classroom as pedagogical implications.

This study presents a novel methodology for analyzing disease relationships from a network perspective using Large Language Model (LLM) embeddings. We constructed a disease network based on 4,489 diseases from the International Classification of Diseases (ICD-11) using OpenAI’s text-embedding-3-small model. Network analysis revealed that diseases exhibit small-world characteristics with a high clustering coefficient (0.435) and form 16 major communities. Notably, mental health-related diseases showed high centrality in the network, and a clear inverse relationship was observed between community size and internal density. The embedding-based relationship analysis revealed meaningful patterns of disease relationships, suggesting the potential of this methodology as a novel tool for studying disease associations. Results suggest that mental health conditions play a more central role in disease relationships than previously recognized, and disease communities show distinct organizational patterns. This approach shows promise as a valuable tool for exploring large-scale disease relationships and generating new research hypotheses.

Mauremys reevesii (Reeves’ turtle) is an endemic freshwater turtle species found throughout East Asia. Due to a rapid population decline, the International Union for Conservation of Nature (IUCN) and the Korean government have classified this species as Endangered (EN). The reported largest population size of M. reevesii in the Republic of Korea was previously estimated to be approximately 20-30 individuals. Our study assessed the population size and structure of M. reevesii at Geumho Reservoir, Republic of Korea, using a capture-recapture data. A total of 433 M. reevesii were incidentally captured during a 35-week trapping process conducted from March to October 2023. The sex ratio of the captured population exhibited a male bias of 1.3 : 1. Sexual size dimorphism was observed only in body weight. Individuals were recaptured up to 11 times during the study period, with males and females being recaptured at an average of 2.1±2.0 times and 1.5±0.9 times, respectively. The estimated population size of M. reevesii in Geumho Reservoir was approximately 891 turtles. The absence of notable sexual size dimorphism and significant sex ratio differences suggests that the population in this area may have been established relatively recently. Compared to previous records, the population in Geumho Reservoir represents the largest single population of M. reevesii, both within the Republic of Korea and globally.

Production technology trials for PARC’s new fodder oat cultivar (PARC-Oat) were conducted at the National Agricultural Research Center (NARC) under rain-fed conditions in Islamabad from 2021 to 2023. The effects of different fertilizer doses, planting densities (seed rates), and inter-row spacing on green fodder yield were studied. The experiment comprised four fertilizer doses of nitrogen and phosphorus (N:P) (55:30, 65:40, 75:50, and 85:60 kg/ha), four seed rate densities (30 kg/ac, 35 kg/ac, 40 kg/ac, and 45 kg/ac), and four inter-row spacings (15 cm, 30 cm, 45 cm, and 60 cm). Results based o n k ey p arameters a ffecting t he y ield of PARC-O at—namely plant height (cm), leaf area (cm²), leaves per tiller, number of tillers per plant, and green fodder yield (t/ha)—indicated that the maximum yield of 72.74 t/ha was observed with the fertilizer dose of 75:50 kg/ha (N:P). Similarly, a seed rate of 40 kg/ha produced optimal planting densities, resulting in the highest green fodder yield of 72.85 t/ha, while an inter-row spacing of 30 cm yielded the maximum green fodder yield of 74.30 t/ha. These results suggest that to achieve maximum green fodder biomass of oats, best management practices should include the application of a fertilizer dose of 75:50 (N:P), a seed rate of 40 kg/ha, and an inter-row spacing of 30 cm.

이 연구는 다목적 선박(MPV)의 공기역학적 구조물 설계, 분석 및 향상을 통해 그린 워터 압력에 의한 구조적 안전을 보장하고, 탈탄소화 및 에너지 효율성에 이바지하는 방법을 기술하였다. 유한 요소 분석(FEA)을 통한 초기 평가에서 좌굴 발생에 대한 잠재적인 취약점 이 있음을 확인하였다. 이러한 문제를 해결하기 위해 보강재(Carling stiffener)와 두께 증가를 통하여 응력을 재분배하고 국부적인 좌굴 발생의 위험을 최소화하였다. 보강 후 분석 결과, 한국선급(KR)의 안전 기준인 항복 강도, 미국 선급(ABS) 좌굴 강도 및 노르웨이 표준(NORSOK) 변 위 기준을 모두 충족하는 것이 확인되었다. 결과적으로 고유치 좌굴 해석 결과가 안전 기준을 초과하고 최대 변위가 허용 한계 내에 있는 등 중요한 개선이 이루어졌다. 이러한 개선은 극한의 해양 조건에서 운영 신뢰성을 보장할 수 있다. 이 연구는 공기역학적 항력 감소와 구조적 안전성의 이중적인 이점을 강조하며, 국제 해사 기구(IMO)의 2050 탈탄소화 목표에 부합하는 연료 효율성 및 온실가스 배출 감소에 이바지할 수 있다. 연구 결과는 다양한 선박 유형에 걸쳐 항력 감소 기술을 확장하기 위한 기초 자료를 제공하며, 지속 가능하고 탄력적인 해양 운영을 위한 대안을 제시하였다. 향후 연구는 구조적 안전 평가를 가속할 수 있는 단순화된 모델링 기술 개발에 집중할 것이다.

We determined complete mitochondrial genome of Erpobdella sp. isolated in Korea. The circular mitochondrial genome of Erpobdella sp. is 15,469 bp long, which is longer than other three complete mitochondrial genomes of Erpobdella species. It includes 13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNAs. Its GC ratio is 30.2%. Phylogenetic trees show that our mitochondrial genome is clustered in Erpobdellidae clade.

리튬이온배터리는 높은 에너지 저장 효율과 환경 지속 가능성으로 점점 더 많은 관심을 받고 있다. PU 기반 리튬이온배터리에 사용되는 기존의 고분자 (polyurethane, PU) 바인더는 높은 유연성과 기 계적 강도를 제공하여 전극의 부피 변화를 감소시키고 구조적 안정성을 확보하는데 효과적이지만, 이와같 은 고분자 계열의 바인더는 전기전도도가 낮고 생산 및 폐기 과정에서 환경 문제를 야기할 수 있다. 따라 서, 본 연구에서는 이러한 고분자계 바인더의 단점을 해결하고자 고분자계 바인더로 많이 사용되는 PU 기 반 리튬이온배터리에 비해 향상된 전기화학적 성능과 안정성을 가진 새로운 바인더로서 석유계 피치 (SM260)/고분자 (polyurethane, PU) 복합소재 기반 바인더를 개발하였다. 특히, PU 바인더가 적용된 리튬 이온배터리는 100 사이클 후 가역 용량이 80 mAh/g으로, 초기 용량의 25%의 용량 유지율을 나타낸 반면, 본 연구에서 개발한 석유계 피치 (SM260)/고분자 (polyurethane, PU) 복합소재 복합 바인더가 적용된 리 튬이온배터리는 100 사이클 후 가역용량이 208 mAh/g으로 유지되고, 초기 용량의 68% 용량 유지율을 나 타내었다.

Endosymbionts of the genus Buchnera, which belong to γ-Proteobacteria, reside in specialized cells known as bacteriocytes. In this announcement, we present the complete genome sequence of Buchnera aphidicola (Aphis gossypii) isolated from Aphis gossypii with Plantago asiatica. The genome spans 628,098 base pairs and has a GC content of 25.4%. A total of 589 CDs, 32 tRNAs, and 3 rRNAs were predicted. Interestingly, the evolutionary rate of the endosymbiont's genome, inferred from intraspecific variations, may be slower than that of the host's mitochondrial genome.