• Korean Journal of Pharmacognosy
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• v.25 no.4 s.99
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• pp.368-381
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• 1994

This study was attempted to investigate the effect of Gardeniae Fructus on GOT, GPT, Al.p, LDH activities and level of total cholesterol in serum of $CCl_{4}$ and $_{D}-galactosamine$ intoxicated rats, and bile excretion. The geniposide and extract caused a remarkabel decrease of GPT activities, level of total cholesterol in serum of $CCl_{4}$ intoxicated rats at EtOH Ex. 300, 500 mg/kg p.o., MeOH Ex. and geniposide 100 mg/kg p.o., and GOT, Al.p, LDH activities were significantly decreased compared with control group. It caused a remarkable decrese of GPT, Al.p, LDH activities in serum of $_{D}-galactosamine$ intoxicated rats, and GOT activities was significantly decreased compared with control group. The geniposide and extract caused a remarkable increase of bile excretion, when administration of EtOH extract 500 mg/kg p.o., MeOH extract 100 mg/kg i.d., MeOH extract 50 mg and geniposide 50 mg/kg i. v. compared with normal-control group.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1039-1040
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• 2023

본 논문에서는 무형 유산 DX 플랫폼의 AR(Augmented Reality) 기술과 ChatGPT 를 결합하여 전문가들의 지식을 보존하고 효과적으로 전달하는 시스템을 제안한다. 특히, 고령화 사회에서 은퇴한 전문가들의 지식이 소실될 위험을 방지하며, 사용자들의 교육 경험을 향상시키는 방법을 모색한다.

• Communications of Mathematical Education
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• v.37 no.3
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• pp.545-567
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• 2023

This study investigates effective ChatGPT prompts for solving mathematical problems, focusing on the chapters of quadratic equations and quadratic functions. A structured prompt was designed, following a sequence of 'Role-Rule-Example Solution-Problem-Process'. In this study, an artificial intelligence model combining GPT-4, Wolfram plugin, and Advanced Data Analysis was utilized. Wolfram was used as the primary tool for calculations to reduce computational errors. When using the structured prompt, the accuracy rate for problems from nine high school mathematics textbooks on quadratic equations and quadratic functions was 91%, showing higher performance compared to zero-shot prompts. This confirmed the effectiveness of the structured prompts in solving mathematical problems. The structured prompts designed in this study can contribute to the development of intelligent information systems for personalized and customized education.

• Journal of KIBIM
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• v.14 no.2
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• pp.25-34
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• 2024

This study proposes a new methodology to increase the flexibility and efficiency of the design data evaluation system by combining Building Information Modeling (BIM) technology in the architectural industry, OpenAI's interactive artificial intelligence, and ChatGPT. BIM technology plays an important role in digitally modeling and managing architectural information. Since architectural information is included, research and development are underway to review and evaluate BIM data according to conditions through program development. However, in the process of reviewing BIM design data, if the review criteria or evaluation criteria according to design change occur frequently, it is necessary to update the program anew. In order for designers or reviewers to apply the changed criteria, requesting a program developer will delay time. This problem was studied by using ChatGPT to modify and update the design data evaluation program code in real time. In this study, it is aimed to improve the changing standards and accuracy by enabling programming non-professionals to change the design regulations and calculation standards of the BIM evaluation program system using ChatGPT. In this study, in the BIM-based design certification automation evaluation program, a program in which the automation evaluation method is being studied based on the design certification evaluation manual was first used. In the design certification automation evaluation program, the programming non-majors checked the automation evaluation code by linking ChatGPT, and the changed calculation criteria were created and modified interactively. As a result of the evaluation, the change in the calculation standard was explained to ChatGPT and the applied result was confirmed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.207-216
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• 2024

As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.

• The Mathematical Education
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• v.63 no.3
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• pp.549-571
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• 2024

As digital·AI-based teaching and learning is emphasized, discussions on the educational use of generative AI are becoming more active. This study analyzed the mathematical performance of ChatGPT 4, Claude 3 Opus, and Gemini Advanced on solving examples and problems from five first-year high school math textbooks. As a result of examining the overall correct answer rate and characteristics of each skill for a total of 1,317 questions, ChatGPT 4 had the highest overall correct answer rate of 0.85, followed by Claude 3 Opus at 0.67, and Gemini Advanced at 0.42. By skills, all three models showed high correct answer rates in 'Find functions' and 'Prove', while relatively low correct answer rates in 'Explain' and 'Draw graphs'. In particular, in 'Count', ChatGPT 4 and Claude 3 Opus had a correct answer rate of 1.00, while Gemini Advanced was low at 0.56. Additionally, all models had difficulty in explaining using Venn diagrams and creating images. Based on the research results, teachers should identify the strengths and limitations of each AI model and use them appropriately in class. This study is significant in that it suggested the possibility of use in actual classes by analyzing the mathematical performance of generative AI. It also provided important implications for redefining the role of teachers in mathematics education in the era of artificial intelligence. Further research is needed to develop a cooperative educational model between generative AI and teachers and to study individualized learning plans using AI.

• Smart Media Journal
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• v.13 no.8
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• pp.26-38
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• 2024

This paper discusses the use of GPT and GPT API for prompt engineering in the development of the interactive smart device lock screen application "Smart Lock," aimed at enhancing literacy among young children and lower-grade elementary and middle school students during critical language development periods. In an era where media usage via smartphones is widespread among children, smartphone-based media is often cited as a primary cause of declining literacy. This study proposes an application that simulates conversations with parents as a tool for improving literacy, providing an environment conducive to literacy enhancement through smartphone use. Generative AI GPT was employed to create literacy-improving problems. Using pre-generated data, situational dialogues with parents were presented, and prompt engineering was utilized to generate questions for the application. The response quality was improved through parameter tuning and function calling processes. This study investigates the potential of literacy improvement education using generative AI through the development process of interactive applications.

• Korean Journal of Veterinary Research
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• v.15 no.1
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• pp.23-25
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• 1975

Eight cattle and ten sheep were administrated various degree of PMA-B and EPN, and S-GOT, S-GPT and serum cholinesterase activity were tested. Serum cholinesterase activity showed no typical tendency, however, S-GOT/S-GPT ratios were decreased by the administration of PMA-B. It was suggested some degree of liver damage by the administration of the chemicals was recognized.

• Knowledge Management Research
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• v.25 no.2
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• pp.19-47
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• 2024

Organizational ability to analyze and utilize data plays an important role in knowledge management and decision-making. This study aims to investigate the potential application of large language models in corporate data analysis. Focusing on the field of human resources, the research examines the data analysis capabilities of these models. Using the widely studied IBM HR dataset, the study reproduces machine learning-based employee turnover prediction analyses from previous research through ChatGPT and compares its predictive performance. Unlike past research methods that required advanced programming skills, ChatGPT-based machine learning data analysis, conducted through the analyst's natural language requests, offers the advantages of being much easier and faster. Moreover, its prediction accuracy was found to be competitive compared to previous studies. This suggests that large language models could serve as effective and practical alternatives in the field of corporate data analysis, which has traditionally demanded advanced programming capabilities. Furthermore, this approach is expected to contribute to the popularization of data analysis and the spread of data-driven decision-making (DDDM). The prompts used during the data analysis process and the program code generated by ChatGPT are also included in the appendix for verification, providing a foundation for future data analysis research using large language models.

• Environmental Analysis Health and Toxicology
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• v.11 no.3_4
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• pp.11-16
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• 1996

Paraquat is a useful nonselective herbicide widely used throught the world. However accidental or intentional ingestion of the herbicide cause fatal pulmonary injuring. But there is not suitable antidote of paraquat intoxication and therapeutic agents now be used are not effective. So, in this study we intended to evaluate the inhibitory effects of acetylmannan from Dioscorea batalas on paraquat toxicity. 100mg/kg acetylmannan from wild or cultured Dioscorea bataras was administered orally to male SD rats for 3 days and the administration time interval was 24hours. After one hour of final administration, 50mg/kg paraquat was administered intraperitonially. After 24 hours, the biochemical parameters of blood and tissues were examined. In paraquat treated groups, sGPT, BUN, creatinine, ALP levels were increased by 2 to 4 times of normal values. However in acetylmannan from wild Dioscorea batatas treated groups, sGPT, BUN, creatinine, ALP levels in blood and lung tissue were significantly decreased to normal levels. In acetylmannan from cultured Dioscorea batatas treated groups, BUN, creatinine were significantly decreased to normal values, but not in sGPT, ALP levels. Therefore, we concluded that acetylmannan from wild Dioscorea batatas can be used as an. antidote of paraquat toxicity.