A 13-year-old female lion underwent a simple mastectomy for a rapidly growing abdominal mass, confirmed as mammary adenocarcinoma after histopathological examination. Mammary tumors are common in domestic cats but less frequently reported in African lions. This report presents the first documented case of mammary adenocarcinoma in an African lion in South Korea. The mass was successfully excised through stable anesthesia and surgery. This report adds to the limited literature on mammary tumors in large felids and discusses the need for tailored management strategies.

For risk assessment of spent nuclear fuel (SNF) transportation, it is necessary to calculate the damage ratio of SNF rods loaded in the cask. Due to the complexity in the geometry and material properties of SNF, it is impractical to analyze the detailed behavior of every fuel rod and assembly in a single cask model. This study presents a framework for performing cask-level analysis by sequentially simplifying the fuel rods and spent fuel assemblies for fuel damage ratio (FDR) calculation. Using the simplified fuel rod model developed in previous studies, we constructed a CE 16×16 fuel assembly model and presented a methodology to simplify the CE 16×16 assembly model into cuboids. Cask drop analyses were performed to validate the similarity of the detailed CE 16×16 model and the simplified model. Using the proposed simplified models, a procedure for quantifying the bending load and pinch load applied to the fuel rods during the drop impact is presented. The FDR can then be calculated by comparing the quantified loads with their respective failure criteria. Through a case study, the feasibility of the developed framework for systematic and accurate FDR calculation was effectively demonstrated.

The recent release of contaminated water from the Fukushima Daiichi Nuclear Power Plant highlights the need for accurate tritium measurement, particularly near the minimum detectable activity (MDA) of 5 Bq·L−1 set by South Korea’s Nuclear Safety and Security Commission. This study aims to improve low-level tritium measurement accuracy by optimizing the region of interest (ROI) for quench curve determination. These adjustments are crucial for separating tritium signals from background noise. Quench standards were prepared and measured using a liquid scintillation counter (LSC). Three ROIs were analyzed to assess the impact of channel selection on measurement precision: A 20-148 channel range optimized via figure of merit (FOM) analysis, a 20-250 channel range covering tritium’s full beta spectrum, and a broad 1-1024 channel range. Quench curves were obtained by fitting the counting efficiency of each ROI to the quench standards. Tritium samples with six different activity levels were prepared, and their radioactivity was calculated using the quench curves. Selecting appropriate ROIs for quench curve determination is critical for measuring low-concentration tritium accurately. This approach reduces uncertainty and emphasizes reliable methods to improve the precision and consistency of tritium measurements.

Ectopic ureter refers to a congenital anomaly in which one or both ureters do not connect to the urinary bladder at the correct anatomical site. This case report discusses the case of a 6-year-old female mixed-breed dog diagnosed with chronic urinary incontinence, systemic hypertension, pancreatitis, and sepsis resulting from an ectopic ureter. Treatment involved an initial nephro-ureterectomy to address severe pyonephrosis, followed by ureteroneocystostomy for the remaining functional kidney. Post-surgical outcomes showed notable improvements in clinical symptoms, laboratory findings, and blood pressure. This report emphasizes the need for early diagnosis and appropriate surgical treatment in cases of ectopic ureter. Additionally, it aims to present the clinical symptoms and conditions resulting from prolonged disease progression, as well as the corresponding treatment methods and prognosis.

This study investigated the seasonal variations and environmental factors influencing soil respiration in Quercus mongolica forests at three distinct sites in South Korea: Mt. Jeombongsan, Mt. Namsan, and Mt. Jirisan. Monthly soil respiration rates were measured from 2009 to 2010 using a closed chamber method, alongside assessments of soil temperature, moisture, and organic matter. Results revealed significant seasonal and spatial variability, with the highest respiration rates recorded during summer months. Soil temperature was identified as the primary driver of respiration, showing strong positive correlations across all sites (R2=0.64 - 0.88). The temperature sensitivity (Q10) values ranged from 2.7 at Mt. Namsan to 5.7 at Mt. Jeombongsan, underscoring the heightened vulnerability of cooler, high-altitude forests to warming. Soil moisture had a dual role, promoting respiration at moderate levels but inhibiting it under saturated conditions, particularly at Mt. Jirisan. Soil organic matter content exhibited an inverse relationship with respiration rates, indicating that substrate quality, rather than quantity, predominantly governs microbial activity. Plant-soil interactions, including root respiration and litterfall decomposition, further modulated respiration patterns, with site-specific differences reflecting variations in vegetation density and ecosystem structure. These findings highlight the complexity of soil carbon dynamics in temperate forests and the critical influence of environmental factors and plant-soil processes. The study provides essential insights for improving carbon cycling models and informs climate-resilient forest management strategies. Future research should prioritize long-term monitoring and experimental manipulations to better predict soil respiration under changing climatic conditions.

In this study, we have determined mitochondrial genome of Matsucoccus thunbergianae isolated in Korea. The circular mitogenome of M. thunbergianae is 15,406 bp including 13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNAs. AT ratio is 78.2%. Maximum-likelihood and Bayesian inference phylogenetic trees show that M. thunbergianae is clustered with M. matsumurae, and family Margarodidae is clustered with family Pseudococcidae with enough supportive values.