• Journal of Microbiology and Biotechnology
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• 제14권3호
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• pp.474-482
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• 2004

The $\alpha$-L-arabinofuranosidase (Arfase) gene of Bacillus stearothermophilus No. 236 was cloned and sequenced. The ORF of the gene, designated arfA, encoded a 507 -residue polypeptide with calculated molecular mass of 57 kDa. The Arfase produced by a recombinant Escherichia coli strain containing the arfA gene was purified to apparent homogeneity and characterized. The molecular mass of the Arfase determined by SDS-PAGE was 60 kDa. However, according to gel filtration, it was estimated to be approximately 190 kDa. These results indicated that the functional form of the Arfase is trimeric. The optimal pH and temperature for the enzyme activity were pH 6.5 and $55^{\circ}C$, respectively. The half-life of the enzyme at $60^{\circ}C$ was about 6 h. Kinetic experiments at $45^{\circ}C$ with pNPM (p-nitrophenyl $\alpha$-L-arabinofuranoside) as a substrate gave the $K_m and V_{max}$ values of 1.19 mM and 26.1 U/ mg, respectively. When the enzyme was combined with Bacillus stearothermophilus No. 236 endoxylanase and $\beta$-xylosidase, it hydrolyzed arabinoxylan into L-arabinose and xylose more efficiently than Arfase alone. This synergistic effect suggested that the complete hydrolysis of xylan with large amounts of arabinose side chains required Arfase as well as endoxylanase and $\beta$-xylosidase.

• BMB Reports
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• 제40권6호
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• pp.853-860
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• 2007

Resistance to anticancer drugs is a major obstacle in the effective treatment of tumors. To understand the mechanisms responsible for multidrug resistance (MDR), a proteomic approach was used to identify proteins that were expressed in different levels by the adriamycinresistant human gastric cancer cell line, SGC7901/ADR, and its parental cell line, SGC7901. Two-dimensional gel electrophoresis (2-DE) and image analysis was used to determine which protein spots were expressed in different levels by the two cell lines. These spots were then partially identified using ESI-Q-TOF mass spectrometry, and the differential expressional levels of the partially identified proteins were then determined by western blot analysis and real-time RT-PCR. Additionally, the association of Nucleophosmin (NPM1), a protein that was highly expressed by SGC7901/ADR, with MDR was analyzed using siRNA. As a result of this study, well-resolved, reproducible 2-DE patterns of SGC7901/ADR and SGC7901 were established, and 16 proteins that may playa role in the development of thermo resistance were identified. Additionally, suppression of NPMl expression was found to enhance adriamycin chemosensitivity in SGC7901/ADR. These results provide a fundamental basis for the elucidation of the molecular mechanism of MDR, which may assist in the treatment of gastric cancer.

• Asian Pacific Journal of Cancer Prevention
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• 제15권2호
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• pp.895-898
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• 2014

Objectives: The present study aimed to examine the cytogenetic and genetic mutation features of acute myeloid leukemia (AML) in elderly Chinese patients. Methods: A retrospective analysis of cytogenetics and genetic mutations was performed in 113 cases (age range 50-82 years) with de novo AML. Results: The most frequent cytogenetic abnormality was t (15;17) (q22;q21), detected in 10.0% (n = 9) of successfully analyzed cases, followed by t (8;21) (q22;q22) in 8.89% (n = 8), and complex karyotypes in 5.56% (n = 5). Those with complex karyotypes included 4 cases (4.44%) of monosomal karyotypes. The frequencies of NPM1, FLT3-ITD, c-kit, and CEBPA mutations were 27.4% (31/113), 14.5% (16/110), 5.88% (6/102), and 23.3% (7/30), respectively. The complete remission rates of patients in low, intermediate, and high risk groups were 37.5%, 48.6%, and 33.3%, respectively (${\chi}^2$ = 0.704, P = 0.703) based on risk stratification. Conclusion: Cytogenetics and genetic mutations alone may not be sufficient to evaluate the prognoses of elderly AML patients. The search for a novel model that would enable a more comprehensive evaluation of this population is therefore imperative.

• 한국물환경학회지
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• 제21권2호
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• pp.169-175
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• 2005

This study was carried out to investigate the effects of irrigation water pollution on the yield and grain quality of rice. It acquires fundamental data to set up water quality standards for irrigation and produce agricultural safety products. The correlations of BOD, T-N, T-P, pH, ECw of the irrigation water with yield, grain appearance quality, and the protein content were evaluated. The field and pot experiments were conducted by using Japonica of Oryza sativa L. during 2 years. BOD concentration in irrigation water effects strongly on grain appearance quality and yield of rice. T-N in irrigation water has strong effect on the yield, appearance, and quality of rice. T-P concentration in irrigation water have not any correlation with yield and quality of rice. pH showed strongly negative correlation with maturity ratio(MTR), 1000 grain weight(TGW), and yield of rice(YLD) as r=-0.803~-0.828(p<0.001) and have no effect on the appearance quality of rice. $EC_w$ indicating salt content showed strongly negative correlation with MTR, TGW, number of grains per panicles(NGP), and number of panicles per unit area(NPM) as r=-0.759~-0.798, and with YLD as -0.753.

• Molecules and Cells
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• 제41권5호
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• pp.465-475
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• 2018

The advent of massively parallel sequencing, also called next-generation sequencing (NGS), has dramatically influenced cancer genomics by accelerating the identification of novel molecular alterations. Using a whole genome sequencing (WGS) approach, we identified somatic coding and noncoding variants that may contribute to leukemogenesis in 11 adult Korean acute myeloid leukemia (AML) patients, with serial tumor samples (primary and relapse) available for 5 of them; somatic variants were identified in 187 AML-related genes, including both novel (SIN3A, C10orf53, PTPRR, and RERGL) and well-known (NPM1, RUNX1, and CEPBA) AML-related genes. Notably, SIN3A expression shows prognostic value in AML. A newly designed method, referred to as "hot-zone" analysis, detected two putative functional noncoding variants that can alter transcription factor binding affinity near PPP1R10 and SRSF1. Moreover, the functional importance of the SRSF1 noncoding variant was further investigated by luciferase assays, which showed that the variant is critical for the regulation of gene expression leading to leukemogenesis. We expect that further functional investigation of these coding and noncoding variants will contribute to a more in-depth understanding of the underlying molecular mechanisms of AML and the development of targeted anti-cancer drugs.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.751-770
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• 2018

Web applications are indispensable in the software industry and continuously evolve either meeting a newer criteria and/or including new functionalities. However, despite assuring quality via testing, what hinders a straightforward development is the presence of defects. Several factors contribute to defects and are often minimized at high expense in terms of man-hours. Thus, detection of fault proneness in early phases of software development is important. Therefore, a fault prediction model for identifying fault-prone classes in a web application is highly desired. In this work, we compare 14 machine learning techniques to analyse the relationship between object oriented metrics and fault prediction in web applications. The study is carried out using various releases of Apache Click and Apache Rave datasets. En-route to the predictive analysis, the input basis set for each release is first optimized using filter based correlation feature selection (CFS) method. It is found that the LCOM3, WMC, NPM and DAM metrics are the most significant predictors. The statistical analysis of these metrics also finds good conformity with the CFS evaluation and affirms the role of these metrics in the defect prediction of web applications. The overall predictive ability of different fault prediction models is first ranked using Friedman technique and then statistically compared using Nemenyi post-hoc analysis. The results not only upholds the predictive capability of machine learning models for faulty classes using web applications, but also finds that ensemble algorithms are most appropriate for defect prediction in Apache datasets. Further, we also derive a consensus between the metrics selected by the CFS technique and the statistical analysis of the datasets.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.141-148
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• 2021

Project management is a current trend of management in the public sphere, based on different principles, methods and tools. The tools include information technologies providing control over time, cost, quality and planning process in order to ensure accountability to interested parties. The goal of the research was to examine the impact of the integration of information systems in project management of the public sphere on the quality of public governance and administration using the example of infrastructure projects involving the private sector in developing countries. The methodology of the research is based on the concepts of "digital-era governance" (DEG), "Information governance" and "project governance" to determine the effectiveness of information systems and technologies in the management of infrastructure projects in the public sphere. The data from the countries with Lower middle income (India, Indonesia, Philippines, Ukraine, Vietnam) and Upper middle income (Argentina, Brazil, China, Colombia, Mexico, Peru, Romania, Russian Federation, Thailand, Turkey) for 1996-2020 were used to study the effects of DEG. The results show two main trends in the countries with Lower middle income and Upper middle income. The first trend is the development of digital governance, the concept of "digital-era governance" through information systems and performance measurement of the governance system, forecasting of investment flows of infrastructure projects, measurement of payback and effectiveness parameters for investment management in the public sector, decision support. The second trend is the existence of systemic challenges related to corruption, social and institutional factors through the development of democracy in developing countries and the integration of NPM similar to developed countries. The confidence of interested parties, especially private investors, in public authorities is determined by other factors - the level of return on investment, risks and assignment of responsibility, probability of successful completion of the project. These data still remain limited for a wide range of project participants, including citizens.

• 한국재난정보학회 논문집
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• 제15권2호
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• pp.268-281
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• 2019

연구목적: 본 연구는 시대적 행정 패러다임이 공공부문의 화재 발생에 어떤 영향을 주었는지 찾으려는 목적으로 수행되었다. 연구방법: 이를 위해 신공공관리론에 대한 이론적 고찰을 하고, 보령화력발전소 화재 사고 사례의 원인을 신공공관리론적 가치의 한계를 이용하여 분석하였다. 연구결과: 이론적 고찰 결과, 신공공관리론의 가치 3가지(관리적 책임성, 능률성, 전문성)와 그에 따른 연구준거를 도출할 수 있었다. 사고 사례의 원인 분석 결과, 공공부문에서 신자유주의 시장화에 기반을 둔 능률성이 과도하게 강조되어 관리적 책임성과 전문성 고양에는 미흡했던 것으로 나타났다. 결론: 결론적으로 신공공관리론적 가치를 공공부문의 안전관리 부분에 과도하게 적용하는 한계가 있다는 것을 확인할 수 있었다. 이 연구결과는 소방행정이론의 학술적 발전에 기초자료로 사용될 것으로 기대된다.

• 한국유기농업학회지
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• 제14권2호
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• pp.159-177
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• 2006

Governance systems are basically an autonomous cooperation type among the government, civil society and market, also a new paradigm for efficient and democratic administration of policies. The governance mainly consists of the central operating body, institutions, operating principles and so on. The constituents are the nation(government), civil society(NGO) and market(firm). Institutional conditions are a legitimate base, financial stability and independency. And as a operating principle, governance systems have common goals and issues from a national and social point of view. This governance has been recently emerged due to financial risk of government, diffusion of new liberalism going with the globalization, localization-decentralization, and development of civil society and information-oriented society. We have to grope fur the framework of participatory agri- policy confronting globalization and localization as well as developing our agriculture and rural village. This agri-policy governance should be theoretically focused on policy network or self-organizing network or multi-lateral governance (MLG) based on NPM. Also, it is proper to have connection of nation-central type and civil society-central type. And it is necessary to have a MLG type with local governance corresponding to localization and decentralization. Governance should have the type whose participants have authority and responsibility as well. Basic directions of environmentally friendly agri-policy governance are as follows : first, its purposes are constructing the democratic and efficient framework of participatory environmentally friendly agri-policy based on consensus of all the related groups, embodying environmentally friendly agri-policy adjusted to local field, raising farmer's real interest, and improving their position. Second, its form should have a council or an agreement system, not an advisory or a consultation organ. Thus, public sector(eg. government) and voluntary sector(eg. farmers' organization) jointly execute agricultural policy and are responsible together. Environmentally friendly agri-policy governance is mainly made up of farmers' organization, cooperative and civil society(NGO). And secondary bodies are agribusinesses and academic groups. Government interacts with the main bodies on administrative execution. And environmentally friendly agri-policy governance has MLG type with a central unit, province and county units. Environmentally friendly agri-policy governance has several main functions such as agri-policy partnership, speaking for farmer's rights and interests, investigation and research on domestic and foreign agricultural streams, and etc. Especially, local unit will play roles in activation for regional agriculture, consulting on technique and management, education and training services, services entrusted by government, and so on.