This study aimed to estimate the accumulated temperature requirements for phenological changes in Lilium. Eight cultivars of three lily types were cultivated in open field conditions for phenological observations based on floral organ development. Growing degree days (GDD) requirements for phenological changes were calculated and verified using Lilium LA hybrid ‘Serrada’ under greenhouse conditions. Lilium Oriental hybrids exhibited higher GDD requirements compared to Lilium FA and LA hybrids for their phenological development. Estimations of phenological change dates in greenhouse cultivation were accurate within 1–3 days. These results provide a reliable description for predicting lily development stages across diverse cultivation environments by quantifying the accumulated temperature requirements for key phenological events.

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.

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.

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 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.

Maturity at harvest is the key factor influencing storage life and the final quality of fruit. This study examined how the firmness of ‘Sweet Gold’ kiwifruit at harvest affects its post-ripening characteristics to create a maturity chart. Throughout the storage period, firmness decreased in all categories of fruit: hard, medium, and soft. ‘Soft’ fruits lost 40% of their firmness within 2 days after harvest, whereas ‘hard’ fruits remained firmer than soft fruits throughout the storage period and had the least soluble solids content, indicating a slower ripening progression. The acidity of ‘soft’ kiwifruit was very low from the day of harvest, suggesting that it was utilized as a respiratory substrate during ripening. The a-values (indicating redness) for ‘soft’ fruits gradually increased until day 6, stabilizing thereafter. ‘Soft’ fruits exhibited the highest ethylene production rate throughout storage. They showed a climacteric rise in ethylene on day 13, compared to ‘medium’ and ‘hard’ fruits, which exhibited increases on days 19 and 21, respectively. This data can help determine the optimal ethylene treatment duration for ripening ‘Sweet Gold’ kiwifruit. The firmness of ‘Sweet Gold’ kiwifruit at harvest is a crucial factor in determining its marketability and can effectively serve as a maturity index to estimate its shelf life.

A scintillator using organic materials can be easily manufactured in various shapes and sizes to suit the user’s purpose. A quantum dot (QD)-based scintillator has a number of advantages over commercial scintillators, including emission wavelength control, high-purity emission of a specific wavelength, high photoluminescence efficiency, and good photostability. The organic scintillators doping with various agents into the polymer media to increase scintillation efficiency and to control the emissioning wavelength through energy transfer process. In this study, scintillator enhancement was observed with different QDs material and detection response to gamma and neutron was investigated in energy spectrum. Multishell- structure QDs (CdS/CdZnS/ZnS) were fabricated and utilized to offset the shortcomings of single-shell-structure QDs, and the optical properties and the gamma and neutron detection performance capabilities were evaluated. The results of the evaluation of the detection response of the QD-based scintillator confirmed that the neutron/gamma classification performance was similar to that of a commercial scintillator. Furthermore, the gamma detection efficiency was improved by 34–38% (in the case of 137Cs) compared to a commercial scintillator. This study is especially notable in that the organic scintillator incorporated with the newly fabricated QDs can be utilized for gamma and neutron detection for the operation and decommissioning various nuclear facilities.

기후변화로 인해 국내에서의 기온, 강수량, 호우일수가 증가 할 것으로 예측됨에 따라, 토양 답압과 높은 불투수면적 비율이 나타나는 도심지를 중심으로 정원과 공공녹지에 활용되는 식물 소재에 있어 내침수성이 중요한 특성으로 부각될 가능성이 높 다. 그러나 내침수성 식물소재에 대한 대다수의 문헌은 재배경 험이나 각 종의 서식지 환경에 기반하고 있는 경우가 많아 실험 적 검증이 필요하다. 따라서 본 연구는 토양수분함량이 높은 서식지에서 기원한 골등골나물(Eupatorium lindleyanum DC.), 새등골나물(E. fortunei Turcz.), 좀개미취(Aster maackii Regel) 3개 종과 중간인 서식지에서 기원한 까실쑥부쟁이 (A. ageratoides Turcz.) 1개 종의 침수조건에 대한 생육반응 비교로 서식지 환경이 내침수성 평가의 유효한 지표인지 알아보 고자 하였다. 실험대상 종을 6주간 무처리(대조구), 5일 침수처리, 7일 침수처리한 결과, 골등골나물과 새등골나물은 대조구와 처리구간 생육반응에서 유의한 차이가 관찰되지 않아 높은 수준 의 내침수성을 지니는 것으로 나타났다. 좀개미취는 생장반응이 처리구에서 대조구 대비 유의하게 감소하여 내침수성은 제한적 인 것으로 보였으나, 5일 침수처리구에서 광계 II의 최대양자효 율(Fv/Fm)이, 두 처리구 모두에서 지상부 대비 지하부의 비율 (R/S율)이 대조구와 유의한 차이를 보이지 않아 침수조건의 해 소 후 회복 가능성을 지니는 것으로 나타났다. 까실쑥부쟁이는 처리 4 주차에 모든 처리구에서 100%의 고사율을 보여 내침수 성을 갖추지 못한 것으로 판단되었다. 결론적으로, 서식지 환경 은 내침수성과 관련이 있다 할 수 있었으나, 내침수성의 정확한 평가를 위해서는 토양수분함량 외 다양한 환경요소들을 함께 고려해야할 필요성이 있을 것으로 보인다.

Background: With the growing interest in the health of companion dogs, their average lifespan has increased, leading to an increase in the proportion of elderly dogs. As elderly dogs are vulnerable to various diseases, there is a need for alternatives to predict the risk of major diseases in senior dogs, prevent them in advance, and manage their health effectively. Therefore, this study was conducted to identify candidate genes and single nucleotide polymorphisms (SNPs) influencing primary angle-closure glaucoma, a major disease in elderly dogs, using the Axiom Canine HD Array and establishing foundational data. Methods: Samples from 95 dogs of 26 breeds from South Korea were analyzed using an SNP chip. Ultimately, two SNPs were selected. To assess the impact of non-synonymous SNP (nsSNPs), functional analysis of candidate genes, Hazard Assessment, and protein structure prediction were conducted. Sequencing for SNP validation involved samples from 95 dogs of ten breeds with reported domestic and international glaucoma cases. Results: The candidate gene TNS1 was associated with the integrin signaling pathway. The selected nsSNP was found to cause a mutation at the ninth position of the amino acid sequence, changing serine to leucine and resulting in alterations to the overall protein structure. Sequencing analysis results for SNP validation revealed differences in frequency among breeds. Conclusions: The identified SNP markers are potential risk prediction tools. Utilizing genotype frequency data by breed and individual could aid in disease management and contribute to advancements in the medical industry.

조팝나무속 식물은 장미과에 속하는 다년생 관목으로 우리나 라 전역에 자생하는 한국 고유 식물이다. 조팝나무속 식물은 관상적으로나 약용적인 가치가 있는 중요한 자원 식물 중에 하나라고 여겨진다. 본 연구에서는 조팝나무속 식물 중 조팝나무 (Spiraea prunifolia), 꼬리조팝나무(S. salicfolia), 당조팝나무 (S. chinensis)를 대상종으로 선정하여 종자의 휴면타파와 발아 특성을 구명하였다. 종자의 내･외부 형태는 종자의 길이와 배형 태를 관찰하였으며, 조팝나무, 꼬리조팝나무, 당조팝나무 종자 의 길이는 각각 약 2.21, 2.86, 2.01mm로 나타났다. 조팝나무 는 변온 조건에서 25/15, 20/10, 15/6, 5℃ 처리에서 각각 100, 100, 100, 58.2%로 5주 이내에 최대발아률까지 도달하였 으며, 저온층적처리에서도 경우 0, 4, 8, 12주에서 각각 100.0, 93.3, 90.2, 84.4%로 모든 층적처리에서 발아율이 높게 나타났 다. 저온층적처리와 GA3의 농도처리별 통계적인 차이가 나타나 지 않았다. 당조팝나무에서도 조팝나무와 동일한 양상으로 변온 조건에서 모든 처리에서 5주 이내에 최대발아률(100%)까지 도달 하였으며, 0, 4, 8, 12주에서 각각 100.0, 100.0, 90.6, 90.6% 로 모든 처리에서 발아율이 높게 나타났으며, GA3의 농도처리 별 통계적인 차이가 나타나지 않았다. 하지만 꼬리조팝나무는 5주째에 25/15, 20/10, 15/6℃ 각 온도 범위에서 14.0, 16.5, 5% 정도 발아하여 발아율이 매우 저조했다. 처리 후 20주 정도 되었을 때 상대적으로 온도가 낮은 15/6, 20/10℃ 처리구에서 50% 이상으로 발아율이 향상되었다. 그리고 GA처리를 통해 발아율이 향상되었다. 위 결과로 보았을 때 조팝나무속 2종의 식물과 다르게 꼬리조팝나무는 휴면이 있다고 판단되며, 종자 발아온도 조건의 범위가 상대적으로 좁다고 판단된다. 따라서 조팝나무속 식물 3종 중에 조팝나무와 당조팝나무는 휴면이 없 다고 판단되며, 꼬리조팝나무는 생리적 휴면으로 분류하였으며, 세부적으로 non-deep의 휴면 유형을 가졌다고 판단된다.

개회나무(Syringa reticulata)는 수수꽃다리속 물푸레나무과 에 속하는 낙엽활엽교목으로 관상 및 약용 등으로 사용되는 가 치가 높은 식물이다. 본 연구는 개회나무 종자의 휴면타파와 발아특성을 구명하여 대량증식 체계를 확립하고자 하였다. 이에 따라 종자내외부특성, 수분흡수률, 변온처리(25/15, 20/10, 15/6, 5℃), 저온층적처리(0, 4, 8, 12주), 생장조절제 농도 (GA3 0, 10, 100, 1000mg·L-1)처리하여 확인하였다. 그 결과 배는 완전히 성숙되어 있는 형태였으며, 수분흡수률은 초기대비 약 39.2% 증가하였다 변온 처리조건에서는 15/6℃ 조건에서 발아율이 69.2%로 가장 높았으며, 0주 층적처리에서 가장 높은 발아율을 나타낸 것으로 보아 변온의 5℃ 처리의 결과와 동일한 양상으로 저온은 발아에 큰 영향을 미치지 않았다. 생장조절제 처리에서는 상대적으로 GA3 농도가 높은 100, 1000mg·L-1 처리에서 발아률이 통계적으로 높게 나타났다. 위 결과를 보아 개 회나무는 생리적 휴면을 가지고 있으며, 세부적으로 non-deep PD라고 판단된다.

This study aimed to address the time, cost, and ethical issues associated with traditional animal experiment-based observational methods by utilizing in silico Physiologically Based Pharmacokinetic modeling to predict veterinary drug residues in livestock products and validate them against observational data. Using PK-sim software, we modeled the physiological conditions of pigs to predict the depletion of ceftiofur and spiramycin. We evaluated the ceftiofur (3 mg, 6 mg) and spiramycin models by comparing them with observational data using residuals, MSE, and R-squared values. Specifically, the R-squared values for the ceftiofur models were all negative, indicating poor predictive power. For Ceftiofur (3 mg), the R-squared value was <0 with MSE of 611.3764, and for Ceftiofur (6 mg), it was <0 with MSE of 2447.982, highlighting significant discrepancies. Similar shortcomings were observed in the spiramycin models, with an R-squared value of <0 . These discrepancies can be attributed to inaccuracies in literature data, limited physicochemical data, inadequate consideration of inter-individual differences, mismatches between experimental and model conditions, and limitations of benchmark observational experiments. This underscores the critical importance of enhancing data quality and refining modeling approaches. Future research should focus on validating in silico techniques across diverse animal models and drugs to broaden their applicability in safety assessments. Ultimately, leveraging in silico techniques is crucial for establishing a scientifically robust safety management system for livestock products, overcoming the constraints of current observational experimental methods.

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.

To improve the lithium-ion battery performance and stability, a conducting polymer, which can simultaneously serve as both a conductive additive and a binder, is introduced into the anode. Water-soluble polyaniline:polystyrene sulfonate (PANI:PSS) can be successfully prepared through chemical oxidative polymerization, and their chemical/mechanical properties are adjusted by varying the molecular weight of PSS. As a conductive additive, the PANI with a conjugated double bond structure is introduced between active materials or between the active material and the current collector to provide fast and short electrical pathways. As a binder, the PSS prevents short circuits through strong π‒π stacking interaction with active material, and it exhibits superior adhesion to the current collector, thereby ensuring the maintenance of stable mechanical properties, even under high-speed charging/discharging conditions. Based on the synergistic effect of the intrinsic properties of PANI and PSS, it is confirmed that the anode with PANI:PSS introduced as a binder has about 1.8 times higher bonding strength (0.4 kgf/20 mm) compared to conventional binders. Moreover, since active materials can be additionally added in place of the generally added conductive additives, the total cell capacity increased by about 12.0%, and improved stability is shown with a capacity retention rate of 99.3% even after 200 cycles at a current rate of 0.2 C.

This study aims to gain insight into society and culture in the 10th to 7th centuries B.C. by exploring the clothing in Assyria, which was the most powerful force in Mesopotamian civilization at the time. As a research method, literature and empirical studies were conducted in parallel, focusing on a total of 127 Assyrian artifacts held in domestic and foreign museums. The results of this study are as follows. The basic forms of Assyrian clothing are tunics and shawls. The tunics have short sleeves and are knee or ankle length with a special type of tassel decoration. They have a wide belt at the waist, and a decorative panel is attached vertically below with a strap. In addition to the basic clothing, there are loincloths and overskirts, with some having open right sides and fringe decorations to denote a higher status. The overskirt has a third or fourth-tier skirt structure with an open front and fringe decorations on the edges. Most military members, except for archers, wore knee-length tunics as uniforms. As for armor, they wore short-chest or knee-length coat-type lamella armor. Headwear mainly consisted of cylindrical hats and headband-type decorations. In the case of bracelets, mainly rosette-shaped decorations and simple ring-shaped bracelets with three or one turn were worn. For shoes, sandals were mainly worn, and soldiers mainly wore boots. As a result, each costume element is expressed in various ways depending on the wearer’s status, clearly showing Assyrian costume culture.

마비성 패류독소 중독증(paralytic shellfish poisoning; PSP)은 삭시톡신과 그 유사체로 오염된 패류를 섭취했을 때 발생하며, 저림, 구토 등의 증상에서부터 근육 마비와 심각한 경우 호흡 마비로 이어져 사망에 이를 수 있다. 독 성등가계수(toxic equivalency factors; TEFs)는 다양한 마 비성 패류독소의 독성을 표준화하여 위험성을 평가하는 데 사용된다. 마비성 패류독소를 검출하기 위해 사용되던 마우스 생체 실험(mouse bioassay; MBA)에 대한 윤리적 문제가 제기되면서 고성능액체크로마토그래피와 같은 기 기 분석법으로의 전환이 시도되고 있지만, 유사체들의 적절 한 TEF를 설정하기 위해서는 여전히 동물 모델을 통한 생 체 내 독성 데이터가 필수적이다. 본 연구에서는 동물 수를 줄이면서도 신뢰할 수 있는 경구투여 독성 결과를 얻기 위 해 삼단계 반응표면-경로 (three-level RSP) 설계를 사용했다. 인증 표준 물질을 이용하여 각 독소의 초기 용량과 조정 계 수를 결정하고 시험을 진행했으며, STX.2HCl, NeoSTX, dcSTX, GTX1&4, GTX2&3, dcGTX2&3의 반수치사량 (및 TEF) 값은 각각 451.3 (1.00), 306.5 (1.47), 860.9 (0.52), 644.5 (0.70), 915.3 (0.49), 2409.3 (0.19)로 나타났다. 도출된 TEF 값은 2016년 WHO에서 권고한 TEF 값뿐만아니라, 이 전에 보고된 경구 투여 반수치사량을 기반으로 한 TEF 값 과 강한 상관관계를 보였다. 본 연구는 마비성 패류독소 뿐 만 아니라 신규 미관리 해양생물독소에 대해 적절한 TEF를 설정하는 데 있어 삼단계 반응표면경로 설계를 윤리적 우 려와 신뢰할 수 있는 독성 데이터의 필요성 사이에서 효과 적으로 균형을 맞출 수 있는 방법으로 제안한다.

Hydrogen peroxide (H2O2) is widely used in bleaching treatments in the pulp and paper industry, in wastewater treatment, and as a food additive. However, H2O2 solutions are unstable and decompose slowly when subjected to external factors such as light, high temperatures, or metal compounds. Therefore, a simple and reliable method to measure the concentration of H2O2 is required for its proper use in various applications. We determined the concentration of an H2O2 solution by measurement at a single wavelength (249 nm) without any reagents or complex analytical procedures. In the present work, the measurable concentration of H2O2 was as low as 0.015 wt% (4.41 mM) and as high as 0.300 wt% (88.2 mM), with high linearity (99.99% at 249 nm) between the concentration of H2O2 and the optical density (OD) values. In addition, the method could be used to measure the concentration of H2O2 in a peracetic acid solution without interference from acetic acid and peracetate ion.