• Title/Summary/Keyword: Phase identification

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Identification of Propentofylline Metabolites in Rats by Gas Chromatography/Mass Spectrometry

  • Kwon, Oh-Seung;Ryu, Jae-Chun
    • Archives of Pharmacal Research
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    • v.23 no.4
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    • pp.374-380
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    • 2000
  • Propentofylline (PPF, 3-methyl-1-(5-oxohexyl)-7-propylxanthine) has been reported to be a compound for treatment of both vascular dementia and dementia of the Alzheimer type. The short half-life (about 15 min) of PPF at the terminal elimination phase and poor bioavailability after oral administration of PPF to rabbits (Kim et al., 1992) suggest in part that this drug takes the extensive first-pass metabolism in the liver. In addition, the metabolic pathway for PPF remains unclear. The objective of this experiment is to identify urinary metabolites of PPF in rats. For the identification of the metabolites, rat urine was collected after oral administration of 100${m}g/kg$ PPF. PPF metabolite, 3-methyl-1-(5-hydroxyhexyl)-7-propylxanthine, was synthesized and confirmed by gas chromatography/mass spectroscopy (GC/MS) and $^1H$ nuclear magnetic resonance spectroscopy. The urinary metabolites of PPF were extracted with diethyl ether and identified by electron impact and chemical ionization GC/MS. One urinary metabolite was confirmed to be 3-methyl-1-(5-hydroxyhexyl)-7-propylxanthine by synthesized authentic compound. Several metabolites of monohydroxy- and dihydroxy-PPF were identified based on mass fragmentation of both intact and trimethylsilylated derivatives of PPF metabolites and the novel structure of these metabolites is suggested based on mass spectra.

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Phenomena Identification and Ranking Table for the APR-1400 Main Steam Line Break

  • Song, J.H.;Chung, B.D.;Jeong, J.J.;Baek, W.P.;Lee, S.Y.;Choi, C.J.;Lee, C.S.;Lee, S.J.;Um, K.S.;Kim, H.G.;Bang, Y.S.
    • Nuclear Engineering and Technology
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    • v.36 no.5
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    • pp.388-402
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    • 2004
  • A phenomena identification and ranking table(PIRT) was developed for a main steam line break (MSLB) event for the Advanced Power Reactor-1400 (APR-1400). The selectee event was a double-ended steam line break at full power, with the reactor coolant pump running. The developmental panel selected the fuel performance as the primary safety criterion during the ranking process. The plant design data, the results of the APR-1400 safety analysis, and the results of an additional best-estimate analysis by the MARS computer code were used in the development of the PIRT. The period of the transient was composed of three phases: pre-trip, rapid cool-down, and safety injection. Based on the relative importance to the primary evaluation criterion, the ranking of each system, component, and phenomenon/process was performed for each time phase. Finally, the knowledge-level for each important process for certain components was ranked in terms of existing knowledge. The PIRT can be used as a guide for planning cost-effective experimental programs and for code development efforts, especially for the quantification of those processes and/or phenomena that are highly important, but not well understood.

OAPR-HOML'1: Optimal automated program repair approach based on hybrid improved grasshopper optimization and opposition learning based artificial neural network

  • MAMATHA, T.;RAMA SUBBA REDDY, B.;BINDU, C SHOBA
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.261-273
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    • 2022
  • Over the last decade, the scientific community has been actively developing technologies for automated software bug fixes called Automated Program Repair (APR). Several APR techniques have recently been proposed to effectively address multiple classroom programming errors. However, little attention has been paid to the advances in effective APR techniques for software bugs that are widely occurring during the software life cycle maintenance phase. To further enhance the concept of software testing and debugging, we recommend an optimized automated software repair approach based on hybrid technology (OAPR-HOML'1). The first contribution of the proposed OAPR-HOML'1 technique is to introduce an improved grasshopper optimization (IGO) algorithm for fault location identification in the given test projects. Then, we illustrate an opposition learning based artificial neural network (OL-ANN) technique to select AST node-level transformation schemas to create the sketches which provide automated program repair for those faulty projects. Finally, the OAPR-HOML'1 is evaluated using Defects4J benchmark and the performance is compared with the modern technologies number of bugs fixed, accuracy, precession, recall and F-measure.

AI-Based Project Similarity Evaluation Model Using Project Scope Statements

  • Ko, Taewoo;Jeong, H. David;Lee, JeeHee
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.284-291
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    • 2022
  • Historical data from comparable projects can serve as benchmarking data for an ongoing project's planning during the project scoping phase. As project owners typically store substantial amounts of data generated throughout project life cycles in digitized databases, they can capture appropriate data to support various project planning activities by accessing digital databases. One of the most important work tasks in this process is identifying one or more past projects comparable to a new project. The uniqueness and complexity of construction projects along with unorganized data, impede the reliable identification of comparable past projects. A project scope document provides the preliminary overview of a project in terms of the extent of the project and project requirements. However, narratives and free-formatted descriptions of project scopes are a significant and time-consuming barrier if a human needs to review them and determine similar projects. This study proposes an Artificial Intelligence-driven model for analyzing project scope descriptions and evaluating project similarity using natural language processing (NLP) techniques. The proposed algorithm can intelligently a) extract major work activities from unstructured descriptions held in a database and b) quantify similarities by considering the semantic features of texts representing work activities. The proposed model enhances historical comparable project identification by systematically analyzing project scopes.

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Volatile Flavor Compounds in Commercial Milk by Static Headspace, Purge and Trap, Solid-Phase Microextraction (Static headspace, purge & trap 및 solid-phase microextraction을 이용한 시판우유의 휘발성 향기성분 분석)

  • Lee, Hong-Min;Lee, Ki-Woong;Chang, Chi-Hoon;Kim, Sung-Han
    • Korean Journal of Food Science and Technology
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    • v.38 no.6
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    • pp.738-741
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    • 2006
  • Volatile flavor compounds in commercial sterilized milk were analyzed and identified by static headspace, purge-and-trap, and solid-phase microextraction (SPME) methods. About 20 volatile compounds were identified by GC/MS, and aldehydes and ketones were the most distinctive and abundant compounds. Static headspace analysis allowed the identification of only the most abundant compounds, such as acetone. Five ketones (acetone, 2-butanone, 2-pentanone, 2-heptanone, 2-nonanone), four aldehydes (2-methylbutanal, pentanal, hexanal, benzaldehyde) and dimethyl sulfide, all of which were responsible for off-flavor in milk, were found by the purge-and-trap and SPME methods. The two methods differed little in their release of these compounds, but they yielded different amounts in the extraction.

Consideration of Analysis Method of Asbestos and Existing Condition for Fibrous Materials in Domestic Air (국내 공기 중 섬유상 물질의 존재실태와 석면의 분석방법에 대한 고찰)

  • Hwang, Jinyeon;Oh, Jiho;Lee, Hyomin;Lee, Jinhyun;Son, Byeongseo
    • Journal of the Mineralogical Society of Korea
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    • v.28 no.2
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    • pp.165-171
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    • 2015
  • Dust samples collected from air in metropolitan areas of Busan and Ulsan were analyzed by phase contrast microscopy, phase contrast dispersion microscopy and SEM. Asbestos concentration in dust samples was lower than detection limit. Many fibrous materials were observed in dust samples, but most of them were organic fibers. Inorganic fibers such as rock fiber, ceramic fiber and gypsum were contained in the samples and non-fibrous minerals such as quartz, calcite and feldspar were also occasionally observed. Domestic law requires that asbestos in air dust is mainly analyzed by phase contrast microscopy. From this study, however, precise analysis of asbestos was almost impossible by this method only. As indicated in JIS method of Japan, therefore, count and identification of asbestos were more efficient by dispersion staining method after removing organic materials in samples by low temperature incinerator.

Analysis of oligosaccharides from Panax ginseng by using solid-phase permethylation method combined with ultra-high-performance liquid chromatography-Q-Orbitrap/mass spectrometry

  • Li, Lele;Ma, Li;Guo, Yunlong;Liu, Wenlong;Wang, Yang;Liu, Shuying
    • Journal of Ginseng Research
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    • v.44 no.6
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    • pp.775-783
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    • 2020
  • Background: The reports about valuable oligosaccharides in ginseng are quite limited. There is an urgent need to develop a practical procedure to detect and analyze ginseng oligosaccharides. Methods: The oligosaccharide extracts from ginseng were permethylated by solid-phase methylation method and then were analyzed by ultra-high-performance liquid chromatography-Q-Orbitrap/MS. The sequence, linkage, and configuration information of oligosaccharides were determined by using accurate m/z value and tandem mass information. Several standard references were used to further confirm the identification. The oligosaccharide composition in white ginseng and red ginseng was compared using a multivariate statistical analysis method. Results: The nonreducing oligosaccharide erlose among 12 oligosaccharides identified was reported for the first time in ginseng. In the comparison of the oligosaccharide extracts from white ginseng and red ginseng, a clear separation was observed in the partial least squares-discriminate analysis score plot, indicating the sugar differences in these two kinds of ginseng samples. The glycans with variable importance in the projection value large than 1.0 were considered to contribute most to the classification. The contents of oligosaccharides in red ginseng were lower than those in white ginseng, and the contents of maltose, maltotriose, maltotetraose, maltopentaose, maltohexaose, maltoheptaose, maltooctaose, maltononaose, sucrose, and erlose decreased significantly (p < 0.05) in red ginseng. Conclusion: A solid-phase methylation method combined with liquid chromatography-tandem mass spectrometry was successfully applied to analyze the oligosaccharides in ginseng extracts, which provides the possibility for holistic evaluation of ginseng oligosaccharides. The comparison of oligosaccharide composition of white ginseng and red ginseng could help understand the differences in pharmacological activities between these two kinds of ginseng samples from the perspective of glycans.

An Identification and Specification Method of Crosscutting Concerns based on Goal-Scenario Modeling for Aspect-Oriented Software Development (Aspect-Oriented 소프트웨어 개발을 위한 목표-시나리오 모델링 기반의 횡단관심사 식별 및 명세화 방법)

  • Kim, Sun-Hwa;Kim, Min-Seong;Park, Soo-Yong
    • Journal of KIISE:Software and Applications
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    • v.35 no.7
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    • pp.424-430
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    • 2008
  • Identifying crosscutting concerns during requirements engineering phase is one of the most essential parts in Aspect-Oriented Software Development. Considering crosscutting concerns in the earlier phase of the development improves consistency among requirements so that it can help maintain software systems efficiently and effectively. It also provides a systematic way to manage requirements changes by supporting traceability throughout the software lifecycle. Thus, identifying tangled and scattered concerns, and encapsulating them into separate entities must be addressed from the early phase of the development. To do so, first, functional and non-functional concerns must be clearly separated. Second, a pointcut where a main concern meets crosscutting concerns should be defined and specified precisely. Third, it is required to detect conflicts being occurred during composition of crosscutting concerns from the earlier phase. Therefore, this paper proposes a systematic approach to identifying and specifying crosscutting concerns using goal-scenario based requirements analysis. And we demonstrate the applicability of the approach by applying it into the intelligent service robot system.

Digital Holographic Security Identification System (디지털 홀로그래픽 보안 인증 시스템)

  • Kim, Jung-Hoi;Kim, Nam;Jeon, Seok-Hee
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.2
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    • pp.89-98
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    • 2004
  • In this paper, we implement a digital holographic security card system that combines digital holographic memory using random phase encoded reference beams with electrical biometrics. Digitally encoded data including a document, a picture of face, and a fingerprint are recorded by multiplexing of holographic memory. A random phase mask encoding reference beams are used as a decoded key to protect illegal counterfeit. As a result, we can achieve a raw BER of 3.6${\times}$10-4 and shift selectivity of 4${\mu}{\textrm}{m}$ using the 2D random phase mask. Also, we develop a recording pattern and image processing which are suitable for a low cost reader without a position sensing photo-detector for real time data extraction and remove danger of fraud from unauthorized person by comparing the reconstructed holographic data with the live fingerprint data.

Risk Identification and Priority Evaluation of Military Facility Relocation by Endowment and Concession Project (기부대양여 사업에 의한 군사시설 이전의 리스크 요인 도출 및 우선순위 평가)

  • Kim, Kukjoo;Ahn, Sungjin;Park, Youngjun
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.3
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    • pp.3-10
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    • 2020
  • The endowment and concession has been put to practical use for the relocation projects of military Facilities. Yet, in terms of the project implementation, delay of a great deal of the projects is occurring due to related regulations and standards, as well as a lack of mutual understanding between project implementers and military units. This study analyzes the risk factors by identifying and prioritizing the potential risk factors at each stage of project implementation such as the issues that limit project characteristics and implementation. Among the derived risk factors, request exceeding facility standards in the licensing and design phases, opposition to troop relocation in the project approval phase, design change during construction phase in the construction and completion phases, dissenting opinions on endowed/conceded property in the property disposal phase and absence of facility standards in the MOA conclusion phase were found to be the main object of consideration in risk management. This study is expected to provide project managers with a guideline for effectively pursuing the projects, as it provides prioritization and optimization of risk management.