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.

This study was conducted to investigate egg development and larvae morphological development of catfish and to provide basic data to clarify the genetic relationship with Siluriformes fish. The mother fish that was used in this study was caught in the stream of Nakdong River in Uiseong-gun, Gyeongbuk. The temperature range of the breeding was 23.0- 25.0℃ (mean 24.0±1.0℃) and egg size was 1.62-1.70 mm (mean 1.66±0.05, n=30). Eggs of catfish began hatching at 54 hours and 40 minutes after fertilization. Immediately after hatching, the total length of larvae was 3.60-3.65 mm (mean 3.62±0.03, n=5) and had an egg yolk without swimming ability. On the third day after hatching, the larvae at the medium stage was 8.00-8.65 mm (mean 8.32±0.45) in total length, and two pairs of whiskers formed around the mouth were elongated. On the 12th day after hatching, the larvae at the juvenile stage was 16.5-17.0 mm (mean 16.7±0.35) in total length, and the stem of each fin was in the range, and the juvenile at this period was morphologically similar to the mother fish.

Prevalence of the coronary artery anomaly is approximately 1% of the population who undergo coronary angiography. The anomalous origin of the right coronary artery (RCA) as a branch of the left anterior descending artery (LAD) is a very rare variation of single coronary artery. The anatomic variation has no clinical significance. However, some patterns of congenital coronary artery anomalies can cause clinical manifestations of myocardial ischemia, reducing myocardial perfusion. We report on a case of a 78-year-old man who had anomalous RCA arising from the proximal part of the LAD, which probably caused chest pain.

This study was conducted to investigate the timely characteristics of phytoncide in forest trail of Ulsan Metropolitan. Air samples were collected from July to October 2011. The phytoncide were detected and quantified using a Gas Chromatograph Mass Spectrometer(GC/MSD). This study are summarized as follows ; The highest levels of phytoncide concentration of August is higher than other months in Munsu Mt. and Samho Mt.(town mountains). The higher phytoncide emission rates found in the morning and in the evening. The concentration of phytoncide was understanded to be greatly influenced by environment change of day time.

This study was conducted to investigate the seasonal variation characteristics of phytoncide in trail of Ulsan Metropolitan. Air samples were collected from May to December 2011. They were collected using Tenax Ta tube and phytoncides were detected and quantified using a Gas Chromatograph Mass Spectrometer (GC/MSD). This study are summarized as follows; The seasonal concentrations of phytoncide are Munsu Mt. 272.3 ㎍/㎥, Samho Mt. 192.4 ㎍/㎥, Shinbul Mt. 50.9 ㎍/㎥, Sibli Bamboo forest 22.4 ㎍/㎥ and Joongbu Fire Station 24.4 ㎍/㎥. In Munsu Mt., Samho Mt. and Shinbul Mt. major component ratio is α-Pinene >β-Pinene+Myrcene >Limonene >Camphene >γ-Terpinene >α-Terpinene. Bamboo forest and Joongbu fire station major component ratio is α-Pinene >Limonene >β-Pinene+Myrcene >Camphene >α-Terpinene. The variation of seasonal concentration is summer >spring >fall >winter. The phytoncide concentration of coniferous forest(Munsu Mt., Samho Mt.) is higher than broadleaf forest(Shinbul Mt.).