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Significant Association of Alpha-Methylacyl-CoA Racemase Gene Polymorphisms with Susceptibility to Prostate Cancer: a Meta-Analysis

  • Chen, Nan;Wang, Jia-Rong;Huang, Lin;Yang, Yang;Jiang, Ya-Mei;Guo, Xiao-Jiang;He, Ya-Zhou;Zhou, Yan-Hong
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.5
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    • pp.1857-1863
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    • 2015
  • Background: Alpha-methylacyl-CoA racemase(AMACR) is thought to play key roles in diagnosis and prognosis of prostate cancer. However, studies of associations between AMACR gene polymorphisms and prostate cancer risk reported inconsistent results. Therefore, we conducted the present meta-analysis to clarify the link between AMACR gene polymorphisms and prostate cancer risk. Materials and Methods: A literature search was performed in PubMed, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Weipu databases. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were calculated to assess the strength of any association between AMACR polymorphisms and prostate cancer risk. Subgroup analyses by ethnicity, source of controls, quality control and sample size were also conducted. Results: Five studies covering 3,313 cases and 3,676 controls on five polymorphisms (D175G, M9V, S201L, K277E and Q239H) were included in this meta-analysis. Significant associations were detected between prostate cancer and D175G (dominant model: OR=0.89, 95%CI=0.80-0.99, P=0.04) and M9V (dominant model: OR=0.87, 95%CI=0.78-0.97, P=0.01) polymorphisms as well as that in subgroup analyses. We also observed significant decreased prostate cancer risk in the dominant model (OR=0.90, 95%CI=0.81-0.99, P=0.04) for the S201L polymorphism. However, K277E and Q239H polymorphisms did not appear to be related to prostate cancer risk. Conclusions: The current meta-analysis indicated that D175G and M9V polymorphisms of the AMACR gene are related to prostate cancer. The S201L polymorphism might also be linked with prostate cancer risk to some extent. However, no association was observed between K277E or Q239H polymorphisms and susceptibility to prostate cancer.

Self-Efficacy as a Predictor of Self-Care in Persons with Diabetes Mellitus: Meta-Analysis

  • Lee, Hyang-Yeon
    • Journal of Korean Academy of Nursing
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    • v.29 no.5
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    • pp.1087-1102
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    • 1999
  • Diabetes mellitus, a universal and prevalent chronic disease, is projected to be one of the most formidable worldwide health problems in the 21st century. For those living with diabetes, there is a need for self-care skills to manage a complex medical regimen. Self-efficacy which refers to one's belief in his/her capability to monitor and perform the daily activities required to manage diabetes has be found to be related to self-care. The concept of self-efficacy comes from social cognitive theory which maintains that cognitive mechanism mediate the performance of behavior. The literature cites several research studies which show a strong relationship between self-efficacy and self-care behavior. Meta-analysis is a technique that enables systematic review and quantitative integration of the results from multiple primary studies that are relevant to a particular research question. Therefore, this study was done using meta-analysis to quantitatively integrate the results of independent research studies to obtain numerical estimates of the overall effect of a self-efficacy with diabetic patient on self-care behaviors. The research proceeded in three stages : 1) literature search and retrieval of studies in which self-efficacy was related to self-care, 2) coding, and 3) calculation of mean effect size and data analysis. Seventeen studies which met the research criteria included study population of adults with diabetes, measures of self-care and measures of self-efficacy as a predictive variable. Computation of effect size was done on DSTAT which is a statistical computer program specifically designed for meta-analysis. To determine the effect of self-efficacy on self-care practice homogeneity tests were conducted. Pooled effect size estimates, to determine the best subvariable for composite variables, metabolic control variables and component of self-efficacy and self-care, indicated that the effect of self-efficacy composite on self-care composite was moderate to large. The weighted mean effect size of self-efficacy composite and self-care composite were +.76 and the confidence interval was from +.66 to +.86 with the number of subjects being 1,545. The total for this meta-analysis result showed that the weighted mean effect sizes ranged from +.70 to +1.81 which indicates a large effect. But since reliabilities of the instruments in the primary studies were low or not stated, caution must be applied in unconditionally accepting the results from these effect sizes. Meta-analysis is a useful took for clarifying the status of knowledge development and guiding decision making about future research and this study confirmed that there is a relationship between self-efficacy and self-care in patients with diabetes. It, thus, provides support for nurses to promote self-efficacy in their patients. While most of the studies included in this meta-analysis used social cognitive theory as a framework for the study, some studies use Fishbein & Ajzen's attitude model as a model for active self-care. Future research is needed to more fully define the concept of self-care and to determine what it is that makes patients feel competent in their self-care activities. The results of this study showed that self-efficacy can promote self-care. Future research is needed with experimental design to determine nursing interventions that will increase self-efficacy.

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Finding the time sensitive frequent itemsets based on data mining technique in data streams (데이터 스트림에서 데이터 마이닝 기법 기반의 시간을 고려한 상대적인 빈발항목 탐색)

  • Park, Tae-Su;Chun, Seok-Ju;Lee, Ju-Hong;Kang, Yun-Hee;Choi, Bum-Ghi
    • Journal of The Korean Association of Information Education
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    • v.9 no.3
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    • pp.453-462
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    • 2005
  • Recently, due to technical improvements of storage devices and networks, the amount of data increase rapidly. In addition, it is required to find the knowledge embedded in a data stream as fast as possible. Huge data in a data stream are created continuously and changed fast. Various algorithms for finding frequent itemsets in a data stream are actively proposed. Current researches do not offer appropriate method to find frequent itemsets in which flow of time is reflected but provide only frequent items using total aggregation values. In this paper we proposes a novel algorithm for finding the relative frequent itemsets according to the time in a data stream. We also propose the method to save frequent items and sub-frequent items in order to take limited memory into account and the method to update time variant frequent items. The performance of the proposed method is analyzed through a series of experiments. The proposed method can search both frequent itemsets and relative frequent itemsets only using the action patterns of the students at each time slot. Thus, our method can enhance the effectiveness of learning and make the best plan for individual learning.

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A Dynamic Shortest Path Finding Model using Hierarchical Road Networks (도로 위계 구조를 고려한 동적 최적경로 탐색 기법개발)

  • Kim, Beom-Il;Lee, Seung-Jae
    • Journal of Korean Society of Transportation
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    • v.23 no.6 s.84
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    • pp.91-102
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    • 2005
  • When it comes to the process of information storage, people are likely to organize individual information into the forms of groups rather than independent attributes, and put them together in their brains. Likewise, in case of finding the shortest path, this study suggests that a Hierarchical Road Network(HRN) model should be selected to browse the most desirable route, since the HRN model takes the process mentioned above into account. Moreover, most of drivers make a decision to select a route from origin to destination by road hierarchy. It says that the drivers feel difference between the link travel tine which was measured by driving and the theoretical link travel time. There is a different solution which has predicted the link travel time to solve this problem. By using this solution, the link travel time is predicted based on link conditions from time to time. The predicated link travel time is used to search the shortest path. Stochastic Process model uses the historical patterns of travel time conditions on links. The HRN model has compared favorably with the conventional shortest path finding model in tern of calculated speeds. Even more, the result of the shortest path using the HRN model has more similar to the survey results which was conducted to the taxi drivers. Taxi drivers have a strong knowledge of road conditions on the road networks and they are more likely to select a shortest path according to the real common sense.

A Study on the Correlation between the Investigation on the Violation Crime of Intellectual Property Rights and the Goods Inspection in Customs Law (관세법상 지식재산권 침해사범 수사와 물품검사와의 상호관계)

  • Ye, Sangkyun
    • International Commerce and Information Review
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    • v.19 no.3
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    • pp.197-214
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    • 2017
  • It requires professional knowledge and much time to judge intellectual property rights infringement. The duties of customs administration are the balance between the propositon of trade facilitation through rapid clearance and the thesis of social security through exact examination. There is a view that the criminal procedure law control is necessary to the goods inspection of clearnce procedure if it is related to crimianl investigation. However, it seems that the customs law does not consider the goods inspection investigation as the investigation under judicial control, but only the mere administrative investigation. It can be said that the inspection of goods by customs law functioning as a clue of investigation is confined to the ordinary goods inspection, including the screening test. Searching for specific articles by specific informaition should be under the control of criminal procedure law because it constitutes the commencement of criminal investigation in criminal cases. This interpretation could be an opportunity as a harmonious operation between the goods inspection of customs clearance and the search and seizure of criminal procedure.

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Screening and isolation of antibacterial proteinaceous compounds from flower tissues: Alternatives for treatment of healthcare-associated infections

  • de Almeida, Renato Goulart;Silva, Osmar Nascimento;de Souza Candido, Elizabete;Moreira, Joao Suender;Jojoa, Dianny Elizabeth Jimenez;Gomes, Diego Garces;de Souza Freire, Mirna;de Miranda Burgel, Pedro Henrique;de Oliveira, Nelson Gomes Junior;Valencia, Jorge William Arboleda;Franco, Octavio Luiz;Dias, Simoni Campos
    • CELLMED
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    • v.4 no.1
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    • pp.5.1-5.8
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    • 2014
  • Healthcare-associated infection represents a frequent cause of mortality that increases hospital costs. Due to increasing microbial resistance to antibiotics, it is necessary to search for alternative therapies. Consequently, novel alternatives for the control of resistant microorganisms have been studied. Among them, plant antimicrobial protein presents enormous potential, with flowers being a new source of antimicrobial molecules. In this work, the antimicrobial activity of protein-rich fractions from flower tissues from 18 different species was evaluated against several human pathogenic bacteria. The results showed that protein-rich fractions of 12 species were able to control bacterial development. Due its broad inhibition spectrum and high antibacterial activity, the protein-rich fraction of Hibiscus rosa-sinensis was subjected to DEAE-Sepharose chromatography, yielding a retained fraction and a non-retained fraction. The retained fraction inhibits 29.5% of Klebsiella pneumoniae growth, and the non-retained fraction showed 31.5% of growth inhibition against the same bacteria. The protein profile of the chromatography fractions was analyzed by using SDS-PAGE, revealing the presence of two major protein bands in the retained fraction, of 20 and 15 kDa. The results indicate that medicinal plants have the biotechnological potential to increase knowledge about antimicrobial protein structure and action mechanisms, assisting in the rational design of antimicrobial compounds for the development of new antibiotic drugs.

A Study on the Business Opportunity Source and Search According to the Characteristic of Entrepreneur (창업자 특성과 사업기회의 상황 간에 관한 연구)

  • Seol, Byung Moon;Hong, Hyo Seog
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.8 no.1
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    • pp.19-28
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    • 2013
  • This study emphasize the importance of founder having knowledge on detecting entrepreneurship opportunities and analyzed how the founder detects such opportunity using what process. I used people who have found and established a company on own as a survey sample. The result is like the following. First, it's found that most founders had business motivation before the establishment and used skills and knowhow from related area of business for their business establishment that led to the comparably safe business. Second, founders were highly motivated in advance of business establishment and it is found that their chance of establishment was not from the coincidence. Third, it is also found that people had pre-education on business establishment was very on purpose and those who had not had any education had a high chance of coincidence in the establishment. Fourth, it is found that higher the desire for the business achievement, more likely that the founder's business establishment was a plan. Fifth, it is found that higher the awareness of business opportunity and vision, more likely that the founder's business establishment was on plan.

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LIS Employment Prospects: LIS Students' Perspective (문헌정보학과 재학생의 취업전망에 대한 인식조사 연구)

  • Noh, Younghee;Ahn, In-Ja;Lee, Jongmoon;Oh, Se-Hoon
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.4
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    • pp.143-167
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    • 2013
  • The power of human capital in a library is the main resource that determines the level of library services, which in turn should play a pivotal role in forming the intellectual power of the country. This research conducted a survey on the employment perspectives of LIS undergraduates, which resulted as follows. First, among the LIS undergraduates, 40% of students responded that their desire was to be employed in the library as librarians. Although there were some negative opinions regarding the working environment of the industry, the undergraduates appreciated the developmental possibilities. Second, the most desired task was working with cultural programs. Third, the respondents were satisfied with the current curriculum overall, acknowledging the extra need for job search support programs, which include career support, employment-related mentoring, and internships. Fourth, the main requirements for their future employability were perceived as grade point average, language skills, obtaining licenses, internship and apprenticeship experience, and career management. Fifth, influential factors on employment decision making were divided into two aspects: environmental and personal factors. The environmental factors included salary, welfare, opportunities in personal development, workplace environment, organizational culture, and development possibilities of the organization. The personal factors included fitness with personal aptitude, the level of knowledge and technology in the job industry, social norms and acknowledgement, rewarding opportunities with their major, and location of job.

Railway Track Extraction from Mobile Laser Scanning Data (모바일 레이저 스캐닝 데이터로부터 철도 선로 추출에 관한 연구)

  • Yoonseok, Jwa;Gunho, Sohn;Jong Un, Won;Wonchoon, Lee;Nakhyeon, Song
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.2
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    • pp.111-122
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    • 2015
  • This study purposed on introducing a new automated solution for detecting railway tracks and reconstructing track models from the mobile laser scanning data. The proposed solution completes following procedures; the study initiated with detecting a potential railway region, called Region Of Interest (ROI), and approximating the orientation of railway track trajectory with the raw data. At next, the knowledge-based detection of railway tracks was performed for localizing track candidates in the first strip. In here, a strip -referring the local track search region- is generated in the orthogonal direction to the orientation of track trajectory. Lastly, an initial track model generated over the candidate points, which were detected by GMM-EM (Gaussian Mixture Model-Expectation & Maximization) -based clustering strip- wisely grows to capture all track points of interest and thus converted into geometric track model in the tracking by detection framework. Therefore, the proposed railway track tracking process includes following key features; it is able to reduce the complexity in detecting track points by using a hypothetical track model. Also, it enhances the efficiency of track modeling process by simultaneously capturing track points and modeling tracks that resulted in the minimization of data processing time and cost. The proposed method was developed using the C++ program language and was evaluated by the LiDAR data, which was acquired from MMS over an urban railway track area with a complex railway scene as well.

A Review Study on the Treatment of Postpartum Depression in Traditional Chinese Medicine (산후 우울증 치료에 대한 중의학의 최근 임상연구 동향)

  • Kim, Moon-Jeong;Lee, Jong-Nam;Hong, Jin-Man;Lim, Jung-Hwa;Seong, Woo-Yong
    • Journal of Oriental Neuropsychiatry
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    • v.25 no.2
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    • pp.179-190
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    • 2014
  • Objectives: This study was performed to review the research trends regarding the treatment of Postpartum Depression (P.P.D) in the Traditional Chinese Medicine (TCM). Methods: We searched articles in CNKI (China National Knowledge Infrastructure) from 2004 to 2013. Search key words were "产后抑郁症", "Postpartum Depression", and we selected 27 studies except for non-clinical studies, insufficient number of studies, unrelated studies and tests on animals. Results: We selected 27 articles with following results: 1) One study of Jadad Quality Assessment Scale score showed 3 points, 4 studies showed 2 points and 22 studies showed less than 1 point. Overall, the quality of the studies was low. 2) DSM - IV was frequently used as a diagnostic criteria and HAMD was mostly used as evaluation criteria. Diagnostic criteria and evaluation criteria were the same in HAMD and EPDS. 3) In TCM, there are various ways, such as herbal medicine, acupuncture, electro acupuncture, auricular acupuncture and/or massage to treat the postpartum depression. 4) The roots of Bupleurum falcatum Linne, Glycyrrhiza uralensis Fisch, Angelica gigas Nakai and Paeonia lactiflora Pall, the rhizome of Atractylodis macrocephala Koidz, the semen of Zizyphus jujuba Mill, the radix of Curcuma aromatica Salisb, the sclerotium of Poria cocos Wolf and the rhizomas of Cyperus rotundus L and of Cnidium officinale Makino are mainly used in the herbal medicine. BaekHoi (GV20) and Yindang (Ex-HN3) are mainly used in acupuncture points. 5) Most of the studies showed effective results. Some of the results were similar to those of the control groups which were cured by western medicine. Other results were better than those of control groups. Conclusions: Research on postpartum depression has been actively conducted in TCM and all studies showed effective results in the study group patients. Therefore, with this study, we hope to activate more clinical research on the treatment of patients in Korean traditional medicine.