This case report describes a 40-year-old captive male hippopotamus exhibiting systemic clinical signs, including anorexia and coughing, prior to death. Despite comprehensive medical treatments, the animal died due to age-related immunodepression, which led to severe pneumonia. Necropsy and subsequent histopathological examination revealed severe acute diffuse seropurulent bronchopneumonia, right ventricular hypertrophy, hepatic congestion, and glomerulonephritis. These findings highlight the vulnerability of geriatric large animals to systemic infections and emphasize the need for improved pathological understanding and the development of evidence-based treatment protocols for these less-studied species like the hippopotamus. To enhance disease management and veterinary care for aging zoo animals, future research should prioritize gut microbiome analysis and antimicrobial resistance profiling.

Emerging RNA viruses continue to pose serious threats to animal and human health, necessitating the development of broad-spectrum antiviral agents within a One Health framework. In this study, we evaluated the antiviral potential of Desmodesmus multivariabilis extracts against three representative RNA viruses: influenza A virus (IAV), porcine epidemic diarrhea virus (PEDV), and hepatitis A virus (HAV). Extracts derived from four closely related microalgal isolates were tested using pre- and post-treatment protocols in vitro. Among them, strain ME749 demonstrated the most potent and consistent antiviral activity, with low cytotoxicity and high selectivity index (SI), particularly against IAV (SI = 23.8), followed by PEDV (SI = 10.7) and HAV (SI = 6.2). ME752 also showed moderate antiviral efficacy. RT-qPCR confirmed significant reductions in viral RNA levels for all three viruses, with ME749 achieving up to 3-log₁₀ reduction in IAV and 2.4-log₁₀ reduction in HAV. These results suggest that the antiviral effect may be mediated through mechanisms beyond direct virucidal activity, potentially involving host immune modulation. Although the active compounds remain unidentified, carotenoids are hypothesized as key bioactive components. This study highlights Desmodesmus multivariabilis, particularly ME749, as a promising source of novel, natural antiviral agents with applications in both veterinary and zoonotic disease control. Future studies including metabolomic profiling, mechanism-of-action analyses, and in vivo validation are warranted to further explore its potential in combating current and emerging RNA virus threats.

Media art has evolved significantly by integrating diverse technological advancements and expanding its conceptual boundaries. However, there remains a lack of standardized terminology to describe media art practices that explicitly incorporate regional contexts, social dynamics, and local cultural resources. This study aims to resolve this terminological ambiguity by proposing a comprehensive framework for defining and categorizing region-based media art practices. Drawing upon extensive literature review and analysis of both domestic and international case studies, this research identifies and defines key terms such as "region-based media art," "site-specific media art," "cultural archetype-based media art," "socially engaged media art," and "public media art." Each term is systematically outlined with distinct conceptual boundaries and characteristics, while acknowledging the interrelations and potential overlaps among them. This framework seeks to provide a clearer understanding and language for diverse media art practices grounded in place, community, and cultural specificity.

This study analyzes the terminological system and hierarchical structure of media art field, centering on the concept of 'Playable Art'. It explores how various media art terms that emerged with the development of digital technology are hierarchized and form interrelationships, particularly examining the position of interactivity and playability in contemporary art discourse. The research findings reveal that media art terminology forms a complex hierarchical structure based on technological media, interaction methods, and artistic intentions, with Playable Art functioning as a core concept that redefines the boundaries between games and art within this structure.

This study structurally analyzes the algorithmic filtering process by which generative AI images are either selected or discarded before reaching users, and models this process through a visual similarity–based simulation. Images generated by Stable Diffusion are placed on a two-dimensional grid, and a modified version of Conway’s Game of Life algorithm is applied to update the state of each cell. The survival of each cell is determined based on a hybrid visual similarity metric combining CLIP and LPIPS. To prevent the rigidity of the simulation and sustain emergent dynamics, random image injections are periodically introduced. The simulation results reveal that visually similar images repeatedly form clusters, and a visual order gradually converges toward a structurally stabilized state. This suggests that specific visual orders can emerge solely from algorithmic selection criteria, independent of human interpretation. By shifting focus from semantic or symbolic analysis to the experimental conditions for the existence and persistence of images, this study proposes a new analytical perspective for understanding digital image environments.

This paper addresses a scheduling problem aimed at minimizing makespan in a permutation flow shop with two machines and an inspection process that must be conducted at least once every certain number of outcomes from the first machine. A mathematical programming approach and a genetic algorithm, incorporating Johnson's rule and a specific mutation process, were developed to solve this problem. Johnson's rule was used to generate an initial population, while the mutation process ensured compliance with the inspection constraints. The results showed that within a computation time limit of 300 seconds, the mathematical programming approach often failed to provide optimal or feasible solutions, especially for larger job sets. For instance, when the process times of both machines were similar and the inspection time was longer, the mathematical programming approach failed to solve all 10 experiments with just 15 jobs and only had a 50% success rate for 100 jobs. In contrast, the proposed genetic algorithm solved all instances and delivered equal or superior results compared to the mathematical programming approach.

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.

This study seeks to explore how key restaurant attributes differently influence customer satisfaction and dissatisfaction across pre-pandemic and post-pandemic periods, as well as across various economic segments. By employing impact asymmetry analysis (IAA), the research identifies the primary drivers of customer satisfaction and dissatisfaction, examining their uneven on customer satisfaction in Korean restaurants. The findings underscore the non-linear and asymmetric nature of customer responses to various service attributes, highlighting the significant influence of economic factors and the pandemic on dining expectations and experiences. This research deepens our understanding of the factors shaping customer satisfaction dynamics, particularly in the context of the evolving post-pandemic restaurant industry.

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.