This study aims to develop an AI-based analysis system that aligns with the international trend of AI legislation, including the EU's AI Act, while also addressing the analytical needs of the public sector. The focus is on providing timely and objective information to policymakers and specialized researchers by exploring advanced analytical methodologies. As the complexity and volume of data rapidly increase in the modern policy environment, these methods have become essential for governments to obtain the objective information needed for critical decision-making. To achieve this, the study integrates machine learning, natural language processing (NLP), and Large Language Models (LLM) to create a system capable of meeting the analytical demands of government entities. The target dataset consists of “quantum” field data collected from South Korea's National R&D Information System (NTIS). Machine learning was applied to this data to assess the validity of the analysis, while BERTopic, a natural language analysis package, was used for text analysis. With the introduction of LLMs, the extracted information from machine learning and natural language analysis was not merely listed but also connected in meaningful ways to provide policy insights. This approach enhanced the transparency and reliability of AI analysis, minimizing potential errors or distortions in the data analysis process. In conclusion, this study emphasizes the development of a system that enables rapid and accurate information provision while maintaining compatibility with international AI regulations such as the AI Act. The use of LLMs, in particular, contributed to enhancing the system’s capabilities for deeper and more multifaceted analysis.

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.

진저 비어는 생강과 설탕을 이용한 발효 음료로, 가볍 게 탄산화된 특유의 매운맛이 특징이며, 주로 가정에서 직 접 만들어진다. Ginger bug라는 스타터 컬처를 사용한 자 연적 발효 과정을 통해 만들어지며, 이는 상업용 음료와 달리 발효된 상태의 살아있는 미생물을 포함한다. 이 연 구는 두 가지 다른 방법으로 가정용 진저 비어를 직접 제 조하여 진저 비어의 미생물 군집의 변화를 분석하고자 하 였다. 레시피 1과 2의 발효 결과, 총 균수(aerobic plate count, APC)는 최대 6 log CFU/mL에 도달했고, 효모와 곰팡이 수(yeast and mold, YM)는 6.5 log CFU/mL로 가 장 높았다. 레시피 2에서는 진저 비어를 만들기 전에 ginger bug를 발효하였으므로 알코올 함량이 0.655%까지 증가한 반면, 레시피 1에서는 0.15% 미만이었다. 다양성 분석 결 과, ginger bug에서 높은 수준의 Enterobacteriaceae가 발견 되어 발효 과정과 재료 취급이 미생물 군집 변화에 영향 을 미쳤음을 시사했다. 생강과 진저 비어 전반에서 Lactococcus가 낮은 수준으로 검출되었고, 진저 비어에서 는 셀룰로오스를 분해하는 Trabulsiella 균주가 발견되어 프로바이오틱스 가능성을 시사하였다. 본 연구는 진저 비 어의 미생물 군집에 대한 최초의 연구로, 진저 비어 제조 시 재료로부터 기원한 미생물이 어떻게 변화하는지에 대 한 통찰을 제공한다. 또한, 다양한 환경에서의 발효 조건 이 미생물 군집과 제품의 품질에 미치는 영향을 탐구하는 데 기여할 것이다. 연구 결과는 진저 비어의 품질 향상에 대한 향후 연구에 중요한 자료를 제공할 것이다.

This study examines the impact of Strategic Emphasis (SE) on Enterprise Value (EV) in KOSDAQ 150 firms, exploring how the balance between Value Creation (VC) and Value Appropriation (VA) strategies influences Tobin's Q as a measure of EV across different industries. Using Mizik and Jacobson's Strategic Emphasis framework, this research conducted a panel regression analysis on financial and stock market data of KOSDAQ 150 firms over a decade (2014–2023). This study employed a comprehensive empirical framework that accounts for industry characteristics, firm profitability, and time effects to examine how different sectors respond to SE changes. The analysis revealed that SE significantly impacts EV, with varying effects across industries. For instance, VC strategies positively influenced EV in the Healthcare sector, whereas VA strategies proved more effective in the Consumer Discretionary sector. Additionally, the relationship between SE and EV was moderated by firm profitability and shaped by industry-specific factors. This study highlights the importance of choosing appropriate measures, such as Tobin's Q, when evaluating corporate strategies. The findings offer actionable insights for Korean venture firms, emphasizing that strategic resource allocation should be tailored to industry-specific dynamics and a firm’s financial context to maximize EV.

Considering the various health problems associated with obesity in dogs, including renal diseases, joint disorders, and skin diseases, effective management strategies and guidelines are urgently needed. This situation has led to a growing demand for veterinary medications aimed at addressing obesity in dogs. However, the field faces a significant hurdle due to the absence of standardized guidelines for assessing the effectiveness of these anti-obesity medications in dogs. In response to this gap, the Animal and Plant Quarantine Agency (APQA) in Korea has made a crucial step by introducing clinical trial guidelines to evaluate the efficacy of treatments for canine obesity, specifically aimed at approving veterinary medicinal products. The guidelines outlined the selection criteria for target dogs, highlighting the importance of consistency within the control and treated groups. Treatment efficacy is subsequently evaluated by physical examination, body fat reduction, and biochemical indicators. In addition, the guidelines cover dosage and administration, monitoring after dosing, and statistical analysis. By doing so, this guideline not only highlights the significance of the APQA’s initiative in improving the care of obese dogs but also provides practical insights to enhance the standardization and effectiveness of clinical trials in veterinary medicine.

딱정벌레목 침봉바구미과 별창주둥이바구미아과의 미기록속인 Psudorobitis Redtenbacher속에 속하는 한종 Psudorobitis gibbus Redtenbacher, 1868 (배롱별창주둥이바구미, 신칭)을 남한에서 처음으로 보고한다. 성충의 형태적 특징과 형태 사진을 수록하였다.

Background: The climate of Korean peninsula is characterized by four distinct seasons. In recent years, global warming has accelerated, and summers in Korea are typically hot and humid. However, the precise extent of climatic damage caused in Hanwoo farming has not yet been reported, by long raise periods. This study was conducted to investigate the effects of birth and slaughter season on economical carcass characteristics in Hanwoo cattle. Methods: Hanwoo steer carcass data was collected from the Korean Institute for Animal Products Quality Evaluation database for 2021-2022. Hanwoo birth and slaughter season was classified as spring (March-May), summer (June-August), fall (September-November), and winter (December-February). Results: The carcass mass and loin area were significantly higher in winter- and spring-born Hanwoo than in summer- and fall-born cattle. However, back fat thickness was significantly higher in winter- and spring-slaughtered steers than in summerslaughtered cattle. In addition, the marbling score was highest in summer-slaughtered steers, but meat yield grade differed between Hanwoo steers of different ages. Conclusions: Out results indicate that carcass mass and loin area were correlated with birth season, whereas back fat thickness and marbling score were related with slaughter season. These results will contribute to improving meat production quality in the Hanwoo industry.

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.