• Title/Summary/Keyword: Content Generation Model

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Development of a Wellness Index for Workers (근로자를 위한 웰니스지표 개발)

  • Choi, Moon-Jong;Son, Chang-Sik;Kim, Jinsu;Ha, Yeongmi
    • Journal of Korean Academy of Nursing
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    • v.46 no.1
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    • pp.69-78
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    • 2016
  • Purpose: The purpose of this study was to develop a wellness index for workers (WIW) and examine the validity and reliability of the WIW for assessing workers' wellness. Methods: The developmental process for the instrument included construction of a conceptual framework based on a wellness model, generation of initial items, verification of content validity, preliminary study, extraction of final items, and psychometric testing. Content validity was verified by 4 experts from occupational health nursing and wellness disciplines. The construct validity, convergent validity and discriminant validity were examined with confirmatory factor analysis. The reliability was examined with Cronbach's alpha. The participants were 494 workers from two workplaces. Results: Eighteen items were selected for the final scale, and the results of the confirmatory factor analysis supported a five-factor model of wellness with acceptable model fit, and factors named as physical emotional social intellectual occupational wellness. The convergent and discriminant validity were also supported. The Cronbach's alpha coefficient was .91. Conclusion: The results indicate that the WIW is a valid and reliable instrument to comprehensively assess workers' wellness, and to provide basic directions for developing workplace wellness program.

Development of a Regulatory Q&A System for KAERI Utilizing Document Search Algorithms and Large Language Model (거대언어모델과 문서검색 알고리즘을 활용한 한국원자력연구원 규정 질의응답 시스템 개발)

  • Hongbi Kim;Yonggyun Yu
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.5
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    • pp.31-39
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    • 2023
  • The evolution of Natural Language Processing (NLP) and the rise of large language models (LLM) like ChatGPT have paved the way for specialized question-answering (QA) systems tailored to specific domains. This study outlines a system harnessing the power of LLM in conjunction with document search algorithms to interpret and address user inquiries using documents from the Korea Atomic Energy Research Institute (KAERI). Initially, the system refines multiple documents for optimized search and analysis, breaking the content into managable paragraphs suitable for the language model's processing. Each paragraph's content is converted into a vector via an embedding model and archived in a database. Upon receiving a user query, the system matches the extracted vectors from the question with the stored vectors, pinpointing the most pertinent content. The chosen paragraphs, combined with the user's query, are then processed by the language generation model to formulate a response. Tests encompassing a spectrum of questions verified the system's proficiency in discerning question intent, understanding diverse documents, and delivering rapid and precise answers.

Isotopic Fissile Assay of Spent Fuel in a Lead Slowing-Down Spectrometer System

  • Lee, Yongdeok;Jeon, Juyoung;Park, Changje
    • Nuclear Engineering and Technology
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    • v.49 no.3
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    • pp.549-555
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    • 2017
  • A lead slowing-down spectrometer (LSDS) system is under development to analyze isotopic fissile content that is applicable to spent fuel and recycled material. The source neutron mechanism for efficient and effective generation was also determined. The source neutron interacts with a lead medium and produces continuous neutron energy, and this energy generates dominant fission at each fissile, below the unresolved resonance region. From the relationship between the induced fissile fission and the fast fission neutron detection, a mathematical assay model for an isotopic fissile material was set up. The assay model can be expanded for all fissile materials. The correction factor for self-shielding was defined in the fuel assay area. The corrected fission signature provides well-defined fission properties with an increase in the fissile content. The assay procedure was also established. The assay energy range is very important to take into account the prominent fission structure of each fissile material. Fission detection occurred according to the change of the Pu239 weight percent (wt%), but the content of U235 and Pu241 was fixed at 1 wt%. The assay result was obtained with 2~3% uncertainty for Pu239, depending on the amount of Pu239 in the fuel. The results show that LSDS is a very powerful technique to assay the isotopic fissile content in spent fuel and recycled materials for the reuse of fissile materials. Additionally, a LSDS is applicable during the optimum design of spent fuel storage facilities and their management. The isotopic fissile content assay will increase the transparency and credibility of spent fuel storage.

Analysis of Metaverse Business Model and Ecosystem (메타버스 비즈니스 모델 및 생태계 분석)

  • Seok, W.H.
    • Electronics and Telecommunications Trends
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    • v.36 no.4
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    • pp.81-91
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    • 2021
  • Recently, discussions on Metaverse, which represents the transcendent world, have been dominant for some time. Cases related to the Metaverse are introduced through various media and are continuously attracting attention as the next generation of the Internet. This study reviews the business model and the ecosystem overview, focusing on service cases related to the Metaverse. The widely used business models include content production and sales, media brokerage fee, and marketing fee. The Metaverse ecosystem is formed around games, with major players in game production, authoring tool & support SW, intelligent cloud service, and game platform expected to lead the market. Results show that a strategy to secure the leadership of the Metaverse, such as the business model expansion conditions, a strategy to foster a game-oriented Metaverse ecosystem, and technology development for the realization of the ultra-realistic Metaverse, is necessary.

Travel Intention to Visit Tourism Destinations: A Perspective of Generation Z in Vietnam

  • NGUYEN, Viet Hoang;TRUONG, Thi Xuan Dao;PHAM, Huong Trang;TRAN, Duc Thanh;NGUYEN, Pham Hung
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.1043-1053
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    • 2021
  • The purpose of this research is to investigate the impacts of gen-Z's perception of consumer-generated content on social media on their travel intention with the mediating role of travel motivation push and pull. An online questionnaire survey of a total of 369 samples was conducted with the participation of gen Z in the most important cities across Vietnam. The model was analyzed using Structural Equation Modeling (SEM) using AMOS program 22 to investigate model relationships and all hypotheses are significant. The findings indicated that gen Z values the usefulness of social media and they use social media for knowledge-seeking (push factor), and this leads to their intention to visit a destination. SEM analysis also reveals that gen Z tends to use social media to find accessibility to any destinations and they are motivated highly with destinations that have clear and easy access, for example, no visa requirement or neighboring destinations. As the result, they have better intentions to visit these destinations. This research will help marketers, especially marketing specialists to gain a better understanding of gen Z, thus implement better marketing techniques to target gen Z.

Development of a Breast Feeding Adaptation Scale (BFAS) (모유수유 적응 측정 도구 개발)

  • Kim, Sun-Hee
    • Journal of Korean Academy of Nursing
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    • v.39 no.2
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    • pp.259-269
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    • 2009
  • Purpose: The aim of this study was to develop a breast feeding adaptation scale (BFAS) to evaluate adaptation to breastfeeding for breastfeeding mothers and their infants and to test the validity and reliability of the instrument. Methods: The study was conducted as follows: application of the conceptual framework, identification of the content domains, items generation, and test of validity and reliability. In order to test validity and reliability, two panels of experts reviewed items and subcategories of the preliminary questionnaire and then data were collected from 329 mothers who were up to 4 weeks postpartum and breastfeeding. Descriptive statistics, t-test, factor analysis, and Cronbach's alpha were used to analyze the data. Results: The conceptual framework was based on the Roy adaptation model. The content domains were developed via literature review, review of instruments, and data acquired from the interviews of breastfeeding mothers and nurses. A total of 69 items belonging to 8 domains were generated. A reduction to 44 preliminary items was accomplished through content validity analysis. Factor analysis extracted 8 factors with a total of 27 items on a 5-point Likert scale. Content validity, construct validity, criterion validity, and reliability of the BFAS were established. Conclusion: The newly developed BFAS is a reliable and valid instrument with which the adaptation of breastfeeding mothers and their infants to the breastfeeding behavior can be evaluated.

Reinventing the revenue model for the content platform (콘텐츠 플랫폼의 수익모델 혁신 전략에 대한 고찰)

  • Choi, Kwang-Hun;Kim, Junic
    • Journal of Digital Contents Society
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    • v.18 no.7
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    • pp.1267-1280
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    • 2017
  • This study examines the changes of the online music market and revenue models by the theory of network society and communications of Manuel Castells for the content platform. As a result of this study, we found that active communications among the members in the network, played a crucial role in the creation of contents and the promotions of profit for platform providers. It is especially important to create an environment in which members can voluntarily communicate rather than an artificial control. The content platform business consists of people, thus it has been proven that providing play elements of culture and society are important, as well as necessary conditions to the generation related to content based platform businesses.

PDAT1 genome editing reduces hydroxy fatty acid production in transgenic Arabidopsis

  • Mid-Eum Park;Hyun Uk Kim
    • BMB Reports
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    • v.57 no.2
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    • pp.86-91
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    • 2024
  • The fatty acids content of castor (Ricinus communis L.) seed oil is 80-90% ricinoleic acid, which is a hydroxy fatty acid (HFA). The structures and functional groups of HFAs are different from those of common fatty acids and are useful for various industrial applications. However, castor seeds contain the toxin ricin and an allergenic protein, which limit their cultivation. Accordingly, many researchers are conducting studies to enhance the production of HFAs in Arabidopsis thaliana, a model plant for oil crops. Oleate 12-hydroxylase from castor (RcFAH12), which synthesizes HFA (18:1-OH), was transformed into an Arabidopsis fae1 mutant, resulting in the CL37 line producing a maximum of 17% HFA content. In addition, castor phospholipid:diacylglycerol acyltransferase 1-2 (RcPDAT1-2), which catalyzes the production of triacylglycerol by transferring HFA from phosphatidylcholine to diacylglycerol, was transformed into the CL37 line to develop a P327 line that produces 25% HFA. In this study, we investigated changes in HFA content when endogenous Arabidopsis PDAT1 (AtPDAT1) of the P327 line was edited using the CRISPR/Cas9 technique. The successful mutation resulted in three independent lines with different mutation patterns, which were transmitted until the T4 generation. Fatty acid analysis of the seeds showed that HFA content decreased in all three mutant lines. These findings indicate that AtPDAT1 as well as RcPDAT1-2 in the P327 line are involved in transferring and increasing HFAs to triacylglycerol.

Antigastritic and Antiulcer action of Effective Compounds from Propolis Extract (Propolis 유효성분의 항위염 및 항위궤양 작용)

  • 김은주;정춘식;정기화
    • Biomolecules & Therapeutics
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    • v.7 no.4
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    • pp.362-370
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    • 1999
  • Propolis, a natural resinous compound collected from honey bees, contains many biochemical constituents(wax, flavonoids, phenolic compounds, etc.) and has been used in traditional medicines as early as 300 B.C. It was been demonstrated that ethanol, acetylsalicylic acid, ischemia reperfusion, non-steroidal antiin-flammatory drugs and stress induce gastric lesions by promoting the generation of reactive oxygen metabolites. Therefore, some drugs that are capable of scavenging or inhibiting the generation of reactive oxygen radicals might be expected to prevent the gastric mucosal injury. The aim of this study was 1) to examine the antiulcer effect of propolis, 2) to investigate the mechanism of action by determining gastric acid secretion, lipid per-oxidation, mucus content and proton pump ($H^+$/$K^+$-ATPase) activity on gastric mucus in varios experimental models, and finally, 3) to isolate and identify the pure compounds that exert antiulcer activity. Step 2-1 and 2-3 sub-sub fraction shoed a significant reduction of severity of gastirc damage at the dose of 25 mg/kg in various experimental models. We isolated 4 sub-sub-sub fractions by flash column chromatography of Step 2-1 sub-sub fraction and one sub-sub-sub fraction by recrystalization of Step 2-3 sub-sub fraction. The protective effects of propolis sub-sub-sub fraction manifested sifnificant effects in HCl-ethanol induced gastric erosion model and aspirin induced gastric ulcer model. These results showed that the gastric mucosal protective effect of propolis might result from the increase of mucus secretion, free radical scavenging effect as well as the reduction of acid secretion in accordance with the reduction of $H^+$/$K^+$-ATPase activitv. Three compounds were isolated and identified from sub-sub fraction of propolis which showed antiulcer effects. Subsequently, these compounds were identified as a flavonoid, namely, 2-acetoxy-5,7,-dihydroxy-flavanone, galangin and chrysin.

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Design and Implementation of personalized recommendation system using Case-based Reasoning Technique (사례기반추론 기법을 이용한 개인화된 추천시스템 설계 및 구현)

  • Kim, Young-Ji;Mun, Hyeon-Jeong;Ok, Soo-Ho;Woo, Yong-Tae
    • The KIPS Transactions:PartD
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    • v.9D no.6
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    • pp.1009-1016
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    • 2002
  • We design and implement a new case-based recommender system using implicit rating information for a digital content site. Our system consists of the User Profile Generation module, the Similarity Evaluation and Recommendation module, and the Personalized Mailing module. In the User Profile Generation Module, we define intra-attribute and inter-attribute weight deriver from own's past interests of a user stored in the access logs to extract individual preferences for a content. A new similarity function is presented in the Similarity Evaluation and Recommendation Module to estimate similarities between new items set and the user profile. The Personalized Mailing Module sends individual recommended mails that are transformed into platform-independent XML document format to users. To verify the efficiency of our system, we have performed experimental comparisons between the proposed model and the collaborative filtering technique by mean absolute error (MAE) and receiver operating characteristic (ROC) values. The results show that the proposed model is more efficient than the traditional collaborative filtering technique.