Italian ryegrass (Lolium multiflorum Lam., IRG) is a widely cultivated winter forage crop known for its high yield and nutritional value. This study evaluated the processing characteristics and feeding performance of IRG-based pellets in Hanwoo cattle (Bos taurus coreanae) and Korean native black goats (Capra hircus). IRG was harvested at the optimal growth stage and processed into two pellet formulations: IRG ≥80% (with up to 20% soybean meal) and 100% IRG. Feeding trials were conducted under ad libitum feeding conditions. Hanwoo cattle showed higher intake of 100% IRG pellets (7.9 kg/day/head) than IRG ≥80% pellets (7.5 kg/day/head, p<0.05), with similar average daily gain (0.9 ± 0.4 kg/day/head). Conversely, black goats exhibited significantly lower intake of IRG ≥80% pellets (54.6 g/day/head) compared to 100% IRG pellets (266 g/day/head), likely due to reduced palatability associated with soybean meal inclusion. These findings suggest that IRG pellets are suitable for Hanwoo cattle, while further optimization of pellet size and formulation is required to improve acceptance in goats. Future studies should assess long-term impacts on digestion, rumen fermentation, and metabolic responses.

This study investigates the impact of perpetual swaps on structural complexity and market efficiency within cryptocurrency markets. Utilizing 15-minute interval price data from 35 cryptocurrencies, we employ multifractal detrended fluctuation analysis (MF-DFA), Multifractal-based measure of the degree of market efficiency (MED), and Market deficiency measure (MDM) to comparatively evaluate market characteristics before and after the introduction of perpetual swaps. Our empirical analysis reveals a substantial decrease in multifractality and structural complexity across most cryptocurrencies post-introduction, particularly pronounced over longer horizons (4–6 months). This reduction indicates enhanced information dissemination and more efficient price formation mechanisms. Notably, Bitcoin (BTC), benefiting from superior liquidity and efficient information flow, exhibited relatively stable multifractal characteristics, although significant volatility driven by fat-tail distributions remained persistent. Statistically significant improvements in market efficiency were consistently demonstrated via paired t-tests, one-sided t-tests, and Wilcoxon non-parametric tests. These improvements were particularly salient during extended observation periods, providing robust empirical evidence that perpetual swaps markedly enhance market efficiency. Consequently, our findings highlight that the introduction of perpetual swaps contributes meaningfully to cryptocurrency market efficiency beyond mere liquidity enhancement, promoting more accurate price discovery and reducing informational asymmetries.

This study evaluated the immunogenicity of the Bacillus Calmette-Guérin (BCG) vaccine in a guinea pig model to refine preclinical assessment methods. 24 guinea pigs were divided into four groups for immunohistochemical, histopathological, and molecular analyses, including qRT-PCR and ELISA. The ELISA results revealed significant elevations in interleukin 2 (IL-2), interferon-gamma (IFN- ), and tuberculosis-specific antibodies in vaccinated guinea pigs, particularly γ notable after 6 weeks. Although lung cytokine levels remained unchanged, spleen gene expression showed significant differences in interleukin-17, interleukin-12, interleukin-1β, and C-X-C motif chemokine ligand 10 after 6 weeks. Immunohistochemistry revealed peak IL-2 expression at 8 weeks and significant IFN-γ and TNF-α expression at 6 weeks. This study confirmed the effectiveness of BCG vaccine in guinea pigs, providing crucial insights for future tuberculosis vaccine development and standardizing immune response indicators.

The threat of North Korea's long-range firepower is recognized as a typical asymmetric threat, and South Korea is prioritizing the development of a Korean-style missile defense system to defend against it. To address this, previous research modeled North Korean long-range artillery attacks as a Markov Decision Process (MDP) and used Approximate Dynamic Programming as an algorithm for missile defense, but due to its limitations, there is an intention to apply deep reinforcement learning techniques that incorporate deep learning. In this paper, we aim to develop a missile defense system algorithm by applying a modified DQN with multi-agent-based deep reinforcement learning techniques. Through this, we have researched to ensure an efficient missile defense system can be implemented considering the style of attacks in recent wars, such as how effectively it can respond to enemy missile attacks, and have proven that the results learned through deep reinforcement learning show superior outcomes.

Athalia japonica (Klug, 1815) is a significant insect pest of turnips in Korea. The complete mitochondrial genome of this species isolated in Korea is reported in this study, which is the first attempt to study Korean Athalia species. The circular genome is 15,662 bp in length and consists of 13 protein-coding genes, two rRNA genes, 22 tRNA genes, and an A+T-rich region. Consistent with most members of the genus Athalia, five of the tRNA genes are rearranged from the typical ground pattern of ancestral insect gene order. Phylogenetic analyses inferred from the nucleotide sequences of 25 mitochondrial genomes indicate that the Korean A. japonica is a distinct member of the genus Athalia. This study accumulates mitochondrial genome data of A. japonica from various countries, providing useful information on mitochondrial genetic differences across geographical distances in the East Asian region.