• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.191-202
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• 2018

Artificial intelligence (AI) is already being utilized in certain personnel selection processes in organizations; AI will eventually make even final decisions for personnel selection. The present study investigated potential job candidates' perceptions of an AI recruiter by comparing the selection procedures carried out by an AI recruiter to those carried out by a human recruiter. For this study college students in South Korea were recruited. They were each shown one of two recruitment scenarios (human recruiter vs. AI recruiter; between-subject design) followed by questionnaires measuring their satisfaction with the selection procedures and procedural justice, their trust in the recruiter, and their belief in a just world. Results show that potential job candidates were more satisfied with the selection procedures used by the AI recruiter than the human recruiter; they perceived the procedures as fairer than those used by the human recruiter. In addition, potential job candidates' trust in the AI recruiter was significantly higher than their trust in the human recruiter. This study also explored whether potential job candidates' perceptions of the AI and human recruiter were contingent upon their beliefs in a just world. The present study suggests a direction for future research.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.605-614
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• 2023

In In the era of digital transition, AI-based personalized services are emerging in the field of education. This research aims to examine the development strategies for implementing AI-based learning services in school. Focusing on AI-based math learning service "Math Cell" developed by i-Scream Edu, this study surveyed the functional requirements from the perspective of an educator. The results were analyzed for importance and suitability using IPA, and expert opinions were surveyed to explore specific development directions for the service. Consequently, importance in all areas such as diagnosis, learning, evaluation, and management averaged 4.82 and performance averaged 4.56, showing excellent results in most questions, and in particular, importance was higher than performance. Among certain detailed functions, concept learning, customized task presentation, evaluation result analysis function, dashboard-related functions, and learning materials in the dashboard were not intuitive for students to understand and had to be supplemented. This study provides meaningful insights by summarizing expert opinions on AI-based personalized mathematics learning services, thereby contributing to the exploration of the development strategies for "Math Cell".

• Kyungpook Mathematical Journal
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• v.25 no.2
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• pp.113-117
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• 1985

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.5
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• pp.867-872
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• 2002

Traditional oriental medicine and western medicine have not only their own views of disease but also their own practical approach to disease. So, We should not identify the thing which is expressed as ‘ai’(癌) in traditional oriental medicine with the thing which is expressed as ‘cancer’ in western medicine. In traditional oriental medicine, the name of malignant tumor is also designated by it's sign and symptom as same as different disease. So it is difficult to compare directly ‘ai’(癌) with cancer. However, when we analysed processes and characteristics of disease, we can find many instances which is related to the things which is called as cancer by western medicine. So at first, we analysed the meaning of word, ai(癌). Secondly, through the searching many instances which are mentioned above, we classified four groups and investigated these. Four group is following like, First, the cases that ai(癌) is used in. Second, the case that is recognized as mass. Third, the case that has different shape with ai. Fourth, the case that has similar sign and symptom with cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.7
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• pp.3077-3082
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• 2012

Aim: The incidence of biliary tract cancer (BTC) is many-fold higher for American Indians (AI) relative to non-Hispanic whites (NHW). Neither gallstones nor genetics can account for this difference. There is speculation that certain fatty acids in bile may play a role in preventing BTC. Since diet may influence composition of bile, we compared the dietary intakes of urban AI and NHW adult women in New Mexico. Methods: Design, a cross-sectional study of the diets of lactating AI and NHW women was conducted. Setting, the University of New Mexico Hospital. Participants, healthy lactating women 18 to 39 years of age were recruited. Main outcome measures, a three-day diet record for each participant was analyzed. Results: The AI women consumed less calcium (p = 0.04) and significantly less short and intermediate chain-length fatty acids (C4-C12), but nearly twice as much proinflammatory arachidonic acid as the NHWs (p <0.01). The intake of dairy products by AI women was less than NHW women (p = 0.01) while the intake of processed meat products was higher (p <0.01). Conclusion: Dietary factors may account for the difference in the risk of BTC between AI and NHW women.

• Biomedical Science Letters
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• v.25 no.4
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• pp.331-338
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• 2019

Human Aichivirus A1 (HuAiV-A1) is a waterborne human pathogenic virus classified as Picornaviridae and Kobuvirus. In this study, we developed a method that can detect about 35 minutes faster with the same detection sensitivity level than the previously reported HuAiV-A1 diagnostic RT-PCR primer. The RT-PCR primer sets developed in this study are capable of detecting HuAiV-A1 at a level of about 100 ag and formed 563 bp amplification product. In addition, the RT-nested PCR method was able to amplify 410 bp using the RT-PCR product as a template. The detection sensitivity of our method was 10 times higher than the method with the highest detection sensitivity to date. Therefore, the detection method of HuAiV-A1 developed in this study is expected to be used in the water environment in which a small amount of virus exists. Also, this detection method is expected to be used as HuAiV-A1 diagnostic technology in both clinical and non-clinical field.

• Journal of Korean Society on Water Environment
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• v.35 no.4
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• pp.370-378
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• 2019

In the recent years, various studies have presented stable and economic methods for increased regulations and compliance in sewage treatment plants. In some sewage treatment plants, the effluent concentration exceeded the regulations, or the effluent concentration was manipulated. This indicates that the process is currently inefficient to operate and control sewage treatment plants. The operation and control method of sewage treatment plant is mathematically dealing with a physical and chemical mechanism for the anticipated situation during operation. In addition, there are some limitations, such as situations that are different from the actual sewage treatment plant. Therefore, it is necessary to find a more stable and economical way to enhance the operational and control method. AI (Artificial Intelligence) technology is selected among various methods. There are very few cases of applying and utilizing AI technology in domestic sewage treatment plants. In addition, it failed to define specific definitions of applying AI technologies. The purpose of this study is to present the application of AI technology to domestic sewage treatment plants by comparing and analyzing various cases. This study presented the AI technology algorithm system, verification method, data collection, energy and operating costs as methods of applying AI technology.

• Genomics & Informatics
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• v.16 no.4
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• pp.28.1-28.6
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• 2018

Due to the increasing interest in synonymous codons, several codon bias-related terms were introduced. As one measure of them, the tRNA adaptation index (tAI) was invented about a decade ago. The tAI is a measure of translational efficiency for a gene and is calculated based on the abundance of intracellular tRNA and the binding strength between a codon and a tRNA. The index has been widely used in various fields of molecular evolution, genetics, and pharmacology. Afterwards, an improved version of the index, named specific tRNA adaptation index (stAI), was developed by adapting tRNA copy numbers in species. Although a subsequently developed webserver (stAIcalc) provided tools that calculated stAI values, it was not available to access pre-calculated values. In addition to about 100 species in stAIcalc, we calculated stAI values for whole coding sequences in 148 species. To enable easy access to this index, we constructed a novel web database, named STADIUM (Species-specific tRNA adaptive index compendium). STADIUM provides not only the stAI value of each gene but also statistics based on pathway-based classification. The database is expected to help researchers who have interests in codon optimality and the role of synonymous codons. STADIUM is freely available at http://stadium.pmrc.re.kr.

• Korean Journal of Agricultural Science
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• v.50 no.2
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• pp.207-218
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• 2023

Duck farming restriction refers to a program in which duck farms suspend their operations for a certain period at times when the risk of avian influenza (AI) is high and receive compensation from the Korean government. This study analyzed the effect of this duck farming restriction on the incidence of AI using data on regional AI incidence rates, the program participation rate, and characteristics of poultry farming in 2016 (before the implementation of the restriction), as well as data from 2020 and 2021 (when new AI outbreaks occurred). In this study, the treatment group was divided into five subgroups according to the policy participation rate and a difference-in-difference (DID) estimation was conducted using certain covariates, in this case the average number of ducks raised, the land area, the number of high-susceptibility farms, the number of low-susceptibility farms, the average number of farms within a 3 km radius, the average distance to the nearest farm, and a year dummy. The results showed that when more than 30% of all duck farms in a region participated in the farming restriction, it had a statistically significant effect on the incidence of AI. Specifically, when more than 30, 40, 50, and 60% of all duck farms participated in the farming restriction, the AI incidence rate decreased by 0.7184, 1.0025, 1.5844, and 1.5843%p, respectively.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.1116-1118
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• 2019

로봇 프로세스 자동화는 반복적이고 평범한 작업을 로봇이 하게 해 조직의 시간을 절약해 주는 기술이다. 복잡한 전산 및 수기로 작성하는 항만 관련 단순 방법적 수작업을 RPA를 활용하여 AI기반의 자동구성을 하고자 하는 프로젝트이다.