The aim of this study is to enhance understanding of government and association-led fashion support programs through in-depth interviews with program managers, identifying areas for improvement. A phenomenological approach, which explores the essence of a particular phenomenon as it manifests in human life to obtain an in-depth understanding of how individuals who have experienced the phenomenon perceive it and its meanings, is adopted. Evaluation criteria for receipt of supports included qualitative factors such as design, branding, product viability, market potential, and completeness, assessed by a panel of academics, buyers, stylists, media critics, distribution experts, press personnel, and designers. Some support programs provided stage-specific assistance based on revenue or business duration, while others required brands at vastly different stages—for example, in their fifth year or over twenty years since launch-to compete within the same program. Challenges faced by designer brands included limited budgets, timing constraints, poor inter-agency communication, and administrative burdens. Suggested improvements involved engaging fashion industry experts in policy planning, integrating export data from overseas production, simplifying documentation, revising regulations, fostering cross-industry collaboration, and establishing fashion venture funds to support competitive brands and accelerate growth. Future plans include expanding support through cultural content and material innovation to boost global recognition of Korean fashion brands. Findings indicate that strategies for vitalizing emerging Korean fashion designers include cross-industry collaboration, expert-led policy development, securing specialized investment funds, and elevating Seoul Fashion Week’s significance as a global platform to increase brand visibility and facilitate domestic and international orders.

This study explores the operational challenges of emerging fashion designers in South Korea through in-depth interviews. The findings reveal significant challenges across key components of brand operation: product and image development, production, sales, promotion, and finance. Designers sought to express original narratives through their collections each season but encounter significant obstacles, such as limited production capacity, lack of marketing resources, and financial instability. Small order volumes hinder securing manufacturers, forcing designers to reinvest most revenue into sample development, with little left for labor or growth. Based on these insights, the study proposes three strategies to strengthen designer brand growth. First, it is necessary to ensure the efficient operation of numerous institutions and associations in Korea through systematic and continuous support at each stage of their programs. Each institution and association should independently run their own separate support programs to improve their expertise, optimizing the government’s limited budget. Second, adopting an agency model for emerging fashion designers, similar to entertainment agencies, can be effective. In this model, agency-affiliated celebrities act as muses for clothing lines and merchandise, enhancing sales via strategic promotion and marketing while encouraging mutual growth through revenue sharing. Third, the Korean fashion designer industry’s distribution structure needs reform.

We present a comprehensive solar flare forecast model with a probability and a statistically significant range of daily peak X-ray flux. For this, we consider μ-corrected total unsigned radial magnetic fluxes from the SOHO/MDI and SDO/HMI, and flare lists from GOES from 1996 to 2021. Our model predicts two types of forecast results when a magnetic flux of an active region (AR) is given. First, using a relationship between magnetic fluxes and flaring rates, a probability of C1.0 or greater flares and a probability of M1.0 or greater flares within a day are predicted respectively. Second, a mean (μ) and standard deviation (σ) of daily peak X-ray fluxes are given from a historical distribution between magnetic fluxes and daily peak X-ray fluxes. Using the mean and standard deviation, we provide the statistical range of possible flare sizes. We verify two forecast results by using various performance metrics and investigate the performance depending on the climatology event rate. Based on the metric values, our model can give a better performance than the climatology forecast. Solar flares are considered to be caused by specific triggers and physical mechanisms that have not yet been precisely identified. In addition, there is another perspective that the size of the flare that will occur due to a trigger is close to random because the flaring loop is in a self-organized critical state. Our model can give the simplest forecasting results considering these two perspectives.

The increasing emergence of wildlife-origin infectious diseases poses a growing threat to both public health and ecological stability. The One Health approach offers a comprehensive framework that recognizes the interconnection of human, animal, and environmental health, emphasizing the need for integrated strategies in disease prevention. This review explores the role of wildlife rescue centers as strategic frontline platforms in a broader surveillance system. These centers, by systematically collecting and accumulating baseline health data from rescued wildlife, can contribute to the construction of a big data-driven monitoring network. Such a network not only enables early detection of pathogens but also supports long-term health monitoring of wildlife populations. Furthermore, it provides a scientific foundation for the conservation of endangered species, as many of these animals are frequently admitted to rescue centers due to disease or injury. We propose a comprehensive surveillance strategy that leverages the potential of data generated by wildlife rescue centers to enhance early warning systems, inform biosecurity policies, and strengthen ecosystem resilience. Ultimately, integrated disease monitoring will improve our capacity to detect, predict, and prevent infectious threats while safeguarding both biodiversity and public health. Furthermore, rescue centers play a pivotal role in collaborative research, public health preparation, and policy development, serving as essential hubs within the national disease control system.

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.

Stemflow (SF) is essential for water resources within forest ecosystems and can constitute up to half of the gross rainfall (GR), depending on the forest stand structures in coniferous plantations. Although numerous studies on SF yield have been reported globally for various forest types, very few studies on SF have been reported to examine the influence of forest stand structures on SF in Korea. This study aimed to quantify the relationship between SF and forest stand structures in unmanaged Japanese cypress plantations. Two study plots were established (10 m × 10 m each) in plantations with the same stem density (SD: 2500 stems ha-1) (hereafter P1 and P2). Almost all forest stand structures (canopy projection area, tree height, diameter at breast height (DBH), number of live and dead branches, and ratio of canopy length to canopy width), including canopy volume using mobile LiDAR devices, were investigated. To evaluate the efficiency of funneling rainwater for the effect of tree biomass on SF, a funneling ratio (FR) was used. The present SF ratios (20.7% in P1 and 22.3% in P2) were much higher than those reported in previous studies of various forest types in Korea (SF ratios: 0.2–5.8% with a mean of 2.0%). This is due to the interaction between the high SD and many under-canopy dead branches. Individual-scale FR was correlated with DBH (R2 = 0.43). The present stand-scale FRs (FRstand) (22.3 in P1 and 29.2 in P2) were much higher than those reported in the previous studies (FRstand: 1.0–33.3 with a mean of 7.8) because of the negative relationship between FRstand and mean DBH (R2 = 0.78, p = 0.02). Our results provide useful information for understanding changes in SF caused by forest stand structures.