• Title/Summary/Keyword: science and technology studies

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Evolution of Science and Technology Poles : The Case of Daedeok Science Town (과학기술거점의 진화: 대덕연구단지의 사례)

  • Song, Sung-Soo
    • Journal of Science and Technology Studies
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    • v.9 no.1
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    • pp.33-55
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    • 2009
  • This article analyzes the evolutionary process of Daedeok Science Town from the standpoint of the life of science and technology poles. It deals the theoretical discussion on the science and technology poles, and investigates the history of Daedeok Science Town dividing into the period of conception, construction, and clustering. Daedeok Science Town has been developed from research and academic city through special research parks to innovative clusters, and nowadays emphasizes networking, interaction, and commercialization. This study shows the types of science and technology poles can be analyzed by historical consideration of specific Korean case.

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A dosimetric evaluation of volumetric modulated arc therapy, intensity modulated radiation therapy, and three-dimensional conformal radiation therapy for the lower extremity soft tissue sarcoma (하지 연부조직육종을 위한 방사선치료기술 별 선량평가 연구)

  • Lee, SolMin;Song, Seongchan;Hyun, Sung Eun;Park, Heung Deuk;Lee, Jaegi;Kim, Young Suk;Kim, Gwi Eon
    • The Journal of Korean Society for Radiation Therapy
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    • v.28 no.1
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    • pp.1-5
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    • 2016
  • A dosimetric evaluation of volumetric modulated arc therapy, intensity modulated radiation therapy, and three-dimensional conformal radiation therapy for the lower extremity soft tissue sarcoma For the lower extremity soft tissue sarcoma, volumetric modulated arc therapy, intensity modulated radiation therapy, and three-dimensional conformal radiation therapy were evaluated to compare these three treatment planning technique. The mean doses to the planning target volume and the femur were calculated to evaluate target coverage and the risk of bone fracture during radiation therapy. Volumetric modulated arc therapy can reduce the dose to the femur without compromising target coverage and reduce the treatment time compared with intensity modulated radiation therapy.

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Association between Cigarette Smoking and RASSF1A Gene Promoter Hypermethylation in Lung Cancer Patients: a Meta-analysis

  • Wu, Xiao-Ming;Chen, Yu;Shao, Yang;Zhou, Xiao-Long;Tang, Wen-Ru
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.19
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    • pp.8451-8454
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    • 2014
  • Objectives: Epidemiological studies have shown that molecular mechanisms underlying the development of lung cancers differ between smokers and unsmokers. Aberrant promoter methylation in some tumor suppressor genes is frequent in lung tumors from smokers but rare in those from non-smokers. Recently, many studies have investigated the association between cigarette smoking and RASSF1A gene promoter hypermethylation in lung cancer patients, but a unanimous conclusion could not be reached. We therefore performed this meta-analysis to derive a more precise estimation of any association. Study Design: An electronic search of PubMed and Chinese Biomedicine databases was conducted to select studies. A total of 19 case-control studies were chosen, and odds ratios (ORs) with confidence intervals (CIs) were used to assess the strength of associations. Results: The case-control studies covered 2, 287 lung cancer patients: 63.4%(1449) of the patients were smokers, 36.6% (838) were unsmokers. The overall results suggested that smokers with lung cancer had a 1.297-fold (95% CI: 1.066~1.580, p=0.010, p=0.087) higher risk for RASSF1A gene hypermethylation than the non-smokers. In the stratified analysis, an increased risk of RASSF1A gene hypermethylation in smokers than in non-smokers was found in Asian (OR=1.481, 95%CI: 1.179~1.861, p=0.001, p=0.186). Conclusions: This meta-analysis supports the idea that RASSF1A gene hypermethylation is associated with cigarette smoking-induced lung cancer.

New Analytical Method of Methyltestosterone in Human Serum by Gas Chromatography/Maa Spectrometry for Pharmacokinetics and Bioequivalence Studies in Human Volunteers

  • Kim, Hye-Jung;Bae, Sung-Seok;Myung, Seung-Woon;Ryu, Jae-Chun;Chung, Youn-Bok;Kwon, Oh-Seung
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.241.3-242
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    • 2003
  • A simple, specific and sensitive method for the determination of methyltestosterone (MT) in human serum has been developed by gas chromatography/mass spectrometry with the purpose of conducting pharmacokinetic and bioequivalence studies of MT. This method involves the use of liquid-liquid extraction with diethyl ether and derivatization with MSTFA, using 1 ml of serum obtained from volunteers orally taken 50 mg MT. MT showed good resolutions in this conditions and no significant interfering peaks were observed. (omitted)

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Genetic approaches toward understanding the individual variation in cardiac structure, function and responses to exercise training

  • Kim, Minsun;Kim, Seung Kyum
    • The Korean Journal of Physiology and Pharmacology
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    • v.25 no.1
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    • pp.1-14
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    • 2021
  • Cardiovascular disease (CVD) accounts for approximately 30% of all deaths worldwide and its prevalence is constantly increasing despite advancements in medical treatments. Cardiac remodeling and dysfunction are independent risk factors for CVD. Recent studies have demonstrated that cardiac structure and function are genetically influenced, suggesting that understanding the genetic basis for cardiac structure and function could provide new insights into developing novel therapeutic targets for CVD. Regular exercise has long been considered a robust nontherapeutic method of treating or preventing CVD. However, recent studies also indicate that there is inter-individual variation in response to exercise. Nevertheless, the genetic basis for cardiac structure and function as well as their responses to exercise training have yet to be fully elucidated. Therefore, this review summarizes accumulated evidence supporting the genetic contribution to these traits, including findings from population-based studies and unbiased large genomic-scale studies in humans.

A Review on Electrochemical Model for Predicting the Performance of Lithium Secondary Battery (리튬이차전지 성능 모사를 위한 전기화학적 모델링)

  • Yang, Seungwon;Kim, Nayeon;Kim, Eunsae;Lim, Minhong;Park, Joonam;Song, Jihun;Park, Sunho;Appiah, Williams Agyei;Ryou, Myung-Hyun;Lee, Yong Min
    • Journal of the Korean Electrochemical Society
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    • v.22 no.1
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    • pp.43-52
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    • 2019
  • As the application area of lithium secondary batteries becomes wider, performance characterization becomes difficult as well as diverse. To address this issue, battery manufacturers have to evaluate many batteries for a longer period, recruit many researchers and continuously introduce expensive equipment. Simulation techniques based on battery modeling are being introduced to solve such difficulties. Various lithium secondary battery modeling techniques have been reported so far and optimal techniques have been selected and utilized according to their purpose. In this review, the electrochemical modeling based on the Newman model is described in detail. Particularly, we will explain the physical meaning of each equation included in the model; the Butler-Volmer equation, which represents the rate of electrode reaction, the material and charge balance equations for each phase (solid and liquid), and the energy balance. Moreover, simple modeling processes and results based on COMSOL Multiphysics 5.3a will be provided and discussed.

Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

  • Yoon, Young Seog;Zo, Hangjung;Choi, Munkee;Lee, Donghyun;Lee, Hyun-woo
    • ETRI Journal
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    • v.40 no.6
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    • pp.745-758
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    • 2018
  • A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber-physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co-occurrence, and growth-rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context-aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.

An Approach for Stock Price Forecast using Long Short Term Memory

  • K.A.Surya Rajeswar;Pon Ramalingam;Sudalaimuthu.T
    • International Journal of Computer Science & Network Security
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    • v.23 no.4
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    • pp.166-171
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    • 2023
  • The Stock price analysis is an increasing concern in a financial time series. The purpose of the study is to analyze the price parameters of date, high, low, and news feed about the stock exchange price. Long short term memory (LSTM) is a cutting-edge technology used for predicting the data based on time series. LSTM performs well in executing large sequence of data. This paper presents the Long Short Term Memory Model has used to analyze the stock price ranges of 10 days and 20 days by exponential moving average. The proposed approach gives better performance using technical indicators of stock price with an accuracy of 82.6% and cross entropy of 71%.