• Title/Summary/Keyword: expert role

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Role of n-3 long-chain polyunsaturated fatty acids in human nutrition and health: review of recent studies and recommendations

  • Dael, Peter Van
    • Nutrition Research and Practice
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    • v.15 no.2
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    • pp.137-159
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    • 2021
  • Long-chain (LC) n-3 polyunsaturated fatty acids (n-3 PUFAs), in particular docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), are nutrients involved in many metabolic and physiological processes, and are referred to as n-3 LCPUFA. They have been extensively studied for their effects in human nutrition and health. This paper provides an overview on metabolism, sources, dietary intake, and status of n-3 LCPUFA. A summary of the dietary recommendations for n-3 LCPUFAs for different age groups as well as specific physiological conditions is provided. Evidence for n-3 LCPUFA in cardiovascular diseases, including new studies, is reviewed. Expert recommendations generally support a beneficial effect of n-3 LCPUFA on cardiovascular health and recommend a daily intake of 500 mg as DHA and EPA, or 1-2 servings of fish per week. The role of n-3 LCPUFA on brain health, in particular neurodegenerative disorders and depression, is reviewed. The evidence for beneficial effects of n-3 LCPUFA on neurodegenerative disorders is non-conclusive despite mechanistic support and observational data. Hence, no definite n-3 LCPUFA expert recommendations are made. Data for the beneficial effect of n-3 LCPUFA on depression are generally compelling. Expert recommendations have been established: 200-300 mg/day for depression; up to 1-2 g/day for major depressive disorder. Recent studies support a beneficial role of n-3 LCPUFAs in reducing the risk for premature birth, with a daily intake of 600-800 mg of DHA during pregnancy. Finally, international experts recently reviewed the scientific evidence on DHA and arachidonic acid (ARA) in infant nutrition and concluded that the totality of data support that infant and follow-on formulas should provide both DHA and ARA at levels similar to those in breast milk. In conclusion, the available scientific data support that dietary recommendations for n-3 LCPUFA should be established for the general population and for subjects with specific physiological conditions.

A Study on the Development Direction of the Next-generation Smart Training Education Platform(STEP) for the Development of National Lifelong Vocational Skills (국민 평생직업능력개발을 위한 차세대 스마트직업훈련플랫폼 개발 방향에 관한 연구)

  • Kyung-Hwa Rim;Il-chan Jung;Doo-wan Lee
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.143-154
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    • 2023
  • The purpose of this study is to present the role and function of Smart Training Education Platform(STEP) as a public online platform that should be aimed at for the development of customized lifelong vocational skills as the existing Occupational Skills Development Act was revised to the National Lifelong Vocational Skills Development Act. To this end, the role and function of STEP's public service was derived based on domestic public online platform service case studies and expert FGI, and an expert verification meeting was held. Based on this, implications for the role and function of STEP as a public online platform were presented.

Development of On-Line Diagnostic Expert System : Heuristics and Influence Diagrams (현장진단 전문가 시스템의 개발 : 휴리스틱과 인플루언스 다이아그램)

  • Kim, Young-Jin
    • Journal of Korean Institute of Industrial Engineers
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    • v.23 no.1
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    • pp.95-113
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    • 1997
  • This paper outlines a framework for a diagnosis of a complex system with uncertain information. Sensor validation ploys a vital role in the ability of the overall system to correctly determine the state of a system monitored by imperfect sensors. Here, emphases are put on the heuristic technology and post-processor for reasoning. Heuristic Sensor Validation (HSV) exploits deeper knowledge about parameter interaction within the plant to cull sensor faults from the data stream. Finally the modified probability distributions and validated data are used as input to the reasoning scheme which is the runtime version of the influence diagram. The output of the influence diagram is a diagnostic mapping from the symptoms or sensor readings to a determination of likely failure modes. Once likely failure modes are identified, a detailed diagnostic knowledge base suggests corrective actions to improve performance. This framework for a diagnostic expert system with sensor validation and reasoning under uncertainty applies in $HEATXPRT^{TM}$ a data-driven on-line expert system for diagnosing heat rate degradation problems in fossil power plants [1].

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Development of Expert System for Maintenance of Tunnel (II) (터널의 유지관리를 위한 전문가시스템 개발(II) : 수치해석을 통한 지식베이스 확장)

  • Kim, Do-Houn;Huh, Taik-Nyung;Lim, Yun-Mook
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.4 no.2
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    • pp.185-191
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    • 2000
  • The safety problem of aged tunnels has been emphasized. For the effective maintenance, site inspection of tunnel structures and surrounding grounds are required periodically. Also, the determination of safety of tunnels is not a simple problem. So the role experienced engineer in the maintenance is very important and development of an expert system that can perform as the engineers, has been needed. In this study, from the results of numerical analysis in several case, new precision inspection rules which can substitute actual numerical analysis are determined by a commercial program FLAC and regression analysis under various parameters such as material property, lining thickness, overburden and laterial coefficients. They are added to the knowledge base to determine safety of tunnel lining. To verify the expert system, the results are compared with an existing tunnel diagnosis report. It can be concluded that the new rule are well represented the actual numerical analysis under various site conditions. Therefore it is expected that the systematic management for effective maintenance of tunnel structure will be possible.

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Project Team Leader's Roles and Team Performance (프로젝트 팀 리더의 역할과 팀성과)

  • 김영배;차종석
    • Journal of the Korean Operations Research and Management Science Society
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    • v.19 no.1
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    • pp.123-144
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    • 1994
  • This Study has empirically examined the relationship between the role of R & D project leaders and their team performance using data from 87 project teams in 6 R & d organizations. The results reveal that : 1) R & D project leaders play five different roles for performing their jobs-strategic plannar, team builder, gatekeeper, expert and champion : 2) all but the champion role of leaders are positively associated with project team performance unless they have too short team tenure to materialize their role efforts : 3) However, the relationship between the role of leaders and project team performance varies according to characteristics of their team and project tasks. More specifically, it becomes more important for leaders to focus on gatekeeping and championing roles as their team gats older. Team building role of leaders is more important for higher performance of relatively certain R & D projects, while for uncertain R & D projects gatekeeping role appears to be more important.

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PSECF (Policy Streams & Expert Group Standing Change Framework) for Wartime Operational Control Transition (전시작전통제권 전환에 관한 정책흐름 및 전문가집단 위상변동모형 사례분석)

  • Park, SangJung;Koh, Chan
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.37-47
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    • 2014
  • This study applies Policy Streams and Expert Group Standing Change Framework (PSECF) proposed by SangJung Park and Chan KOH to analyze the Roh's Participatory government's decision making process on the wartime Operational Control (OPCON) transition. PSECF case study's results are as follows: Strong commitments of the former president Roh Moohyun and the progressive National Security Committee (NSC) were primary drivers in the policy developing process. But military expert groups such as the Ministry of National Defense (MND) and the Joint Chiefs of Staffs (JCS) were thoroughly excluded due to their passive role against the wartime OPCON transition. After the policy resolution, the standing of expert groups changed: the standing of advocate effects, the former progressive NSC who led the wartime OPCON transition in the Roh's Participatory government, went down but the conservatives such as ROK MND and JCS improve their standing because the conservative government kicks off 8 months later from the policy decision. In conclusion, the proposed PSECF through the Roh's Participatory government's case-study is worthy as an explanatory framework for high level national policies.

The Investigation of Social Role based on HIRA Inquiry documents in 2005. (2005년 심사평가원 질의를 근거한 향후 학회의 역할 고찰)

  • Kim, Nam-Kuon
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.19 no.3 s.31
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    • pp.189-192
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    • 2006
  • I reviewed some offical documents from Health Insurance Review Agency(HIRA) asked expert opinions of our society about some controversy between doctors and HIRA The results are as followed : 1. We must compensate the details of textbook about general treatment of frequent1y occurred disease. 2. We mush verify the obstinate disease and write papers consequently. 3. We must educate and use the special techniques of our societic area. 4. We must write papers about the recently developed intervention equipments.

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Role of artificial intelligence in diagnosing Barrett's esophagus-related neoplasia

  • Michael Meinikheim;Helmut Messmann;Alanna Ebigbo
    • Clinical Endoscopy
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    • v.56 no.1
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    • pp.14-22
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    • 2023
  • Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett's esophagus during routine endoscopy are challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed to provide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we review the current role of artificial intelligence in the management of Barrett's esophagus and elaborate on potential artificial intelligence in the future.

Radiation Protection, Its Beginnings and Development (방사선방어(放射線防禦)의 시초(始初)와 발전과정(發展過程))

  • Willis Charles A.
    • Journal of Radiation Protection and Research
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    • v.1 no.1
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    • pp.37-41
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    • 1976
  • The background, beginnings and course of development of the radiation protection profession are outlined. Emphasis is on developments in the Western world, particularly the USA. It is shown that this profession has played a major role in producing a level of safety that would have been unbelievable a few decades ago.

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The Effect of Expert Reviews on Consumer Product Evaluations: A Text Mining Approach (전문가 제품 후기가 소비자 제품 평가에 미치는 영향: 텍스트마이닝 분석을 중심으로)

  • Kang, Taeyoung;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.63-82
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    • 2016
  • Individuals gather information online to resolve problems in their daily lives and make various decisions about the purchase of products or services. With the revolutionary development of information technology, Web 2.0 has allowed more people to easily generate and use online reviews such that the volume of information is rapidly increasing, and the usefulness and significance of analyzing the unstructured data have also increased. This paper presents an analysis on the lexical features of expert product reviews to determine their influence on consumers' purchasing decisions. The focus was on how unstructured data can be organized and used in diverse contexts through text mining. In addition, diverse lexical features of expert reviews of contents provided by a third-party review site were extracted and defined. Expert reviews are defined as evaluations by people who have expert knowledge about specific products or services in newspapers or magazines; this type of review is also called a critic review. Consumers who purchased products before the widespread use of the Internet were able to access expert reviews through newspapers or magazines; thus, they were not able to access many of them. Recently, however, major media also now provide online services so that people can more easily and affordably access expert reviews compared to the past. The reason why diverse reviews from experts in several fields are important is that there is an information asymmetry where some information is not shared among consumers and sellers. The information asymmetry can be resolved with information provided by third parties with expertise to consumers. Then, consumers can read expert reviews and make purchasing decisions by considering the abundant information on products or services. Therefore, expert reviews play an important role in consumers' purchasing decisions and the performance of companies across diverse industries. If the influence of qualitative data such as reviews or assessment after the purchase of products can be separately identified from the quantitative data resources, such as the actual quality of products or price, it is possible to identify which aspects of product reviews hamper or promote product sales. Previous studies have focused on the characteristics of the experts themselves, such as the expertise and credibility of sources regarding expert reviews; however, these studies did not suggest the influence of the linguistic features of experts' product reviews on consumers' overall evaluation. However, this study focused on experts' recommendations and evaluations to reveal the lexical features of expert reviews and whether such features influence consumers' overall evaluations and purchasing decisions. Real expert product reviews were analyzed based on the suggested methodology, and five lexical features of expert reviews were ultimately determined. Specifically, the "review depth" (i.e., degree of detail of the expert's product analysis), and "lack of assurance" (i.e., degree of confidence that the expert has in the evaluation) have statistically significant effects on consumers' product evaluations. In contrast, the "positive polarity" (i.e., the degree of positivity of an expert's evaluations) has an insignificant effect, while the "negative polarity" (i.e., the degree of negativity of an expert's evaluations) has a significant negative effect on consumers' product evaluations. Finally, the "social orientation" (i.e., the degree of how many social expressions experts include in their reviews) does not have a significant effect on consumers' product evaluations. In summary, the lexical properties of the product reviews were defined according to each relevant factor. Then, the influence of each linguistic factor of expert reviews on the consumers' final evaluations was tested. In addition, a test was performed on whether each linguistic factor influencing consumers' product evaluations differs depending on the lexical features. The results of these analyses should provide guidelines on how individuals process massive volumes of unstructured data depending on lexical features in various contexts and how companies can use this mechanism from their perspective. This paper provides several theoretical and practical contributions, such as the proposal of a new methodology and its application to real data.