284,215 research outputs found

    Min-Jeong Lee

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    학위논문(석사)--아주대학교 일반대학원 :의학과,2014. 8“신대체요법을 언제 시작해야 하는가?”란 물음에 답하는 것은 어려운 일이다. 신대체요법이 임박한 말기신장질환 환자에서 언제 투석을 시작할지에 대한 결정을 돕기 위하여, 본 연구에서는 한국 3차 의료기관에서 혈액투석 시작 시점에서의 말기신장질환 환자의 임상적 특징을 분석하고자 한다. 2010년 1월부터 2012년 12월까지 처음 혈액투석을 시작한 409명의 환자를 후향적으로 분석하였다. 말기신부전의 가장 흔한 원인은 당뇨병성신증 (48.7%) 였으며, 두 번째로 흔한 원인은 조직검사로 증명된 사구체신염 (11.7%)이었다. 혈액투석 시작 시점에서의 사구체 여과율은 5.59 ~ 7.82 ml/min/1.73m2 였다 (Nankivell equation 으로 계산한 사구체 여과율 제외). 이러한 사구체 여과율은 사구체 여과율 계산 공식을 어떤 것을 사용하는가에 따라 통계학적으로 유의한 차이가 있었다 (p ≤ 0.002). 다섯 가지의 사구체 여과율 공식 중에서, Modified Cockcroft-Gault 식, MDRD 식과 CKD-EPI 식이 만성신부전 합병증과 유의한 상관관계를 보였다. 특히 Modified Cockcroft-Gault 식의 경우 변동 계수(CV; coefficient of variation)가 가장 작았으며, 이는 이 식이 본 연구의 환자들의 eGFR 값을 가장 재현성 있게 나타낸다는 것을 의미한다. 혈액투석을 시작하게 된 주된 이유는 부종 (38.4%), 요독 증세 (35.0%) 였다. 당뇨 환자는 비당뇨 환자에 비하여 더 나이가 많고, 투석 시작시 높은 사구체 여과율을 보였다. 59.2% 의 환자는 외래를 경유하여 혈액투석을 시작하였고, 40.8% 의 환자는 응급실로 내원하여 혈액투석을 시작하였다. 응급실로 내원하여 투석을 시작한 경우, 고칼륨혈증 및 대사성 산증이 외래 내원하여 시작한 환자군에 비하여 더 심한 소견을 보였다. 현재 한국에서 행해지고 있는 혈액 투석 시작 시점에서의 말기신장질환 환자들의 임상적 특징 및 혈액검사 자료 등의 자료가 향후 투석 시작 시점을 결정하는데 유용한 정보가 되길 기대한다.ABSTRACTS LIST OF FIGURES LIST OF TABLES I. INTRODUCTION II. METHODS A. Patient selection B. Laboratory data C. Estimated glomerular filtration rate D. Statistical analysis III. RESULTS IV. DISCUSSION REFERENCES FIGURES TABLES 국문요약Maste

    Эффективность применения кормовых добавок «Минезел Min-D-gel» и «Минезел Min-D-gelplus» в условиях птицефабрики

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    птицеводство, птицефабрика, птица, цыплята-бройлеры, комбикорм, кормовая добавка, минезел min-d-gel, минезел min-d-gelplu

    Energy Crop Supply in France: A Min-Max Regret Approach

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    This paper attempts to estimate energy crop supply using an LP model comprising hundreds of representative farms of the arable cropping sector in France. In order to enhance the predictive ability of such a model and to provide an analytical tool useful to policy makers, interval linear programming (ILP) is used to formalise bounded rationality conditions. In the presence of uncertainty related to yields and prices it is assumed that the farmer minimises the distance from optimality once uncertainty resolves introducing an alternative criterion to the classic profit maximisation rationale. Model validation based on observed activity levels suggests that about 40% of the farms adopt the min-max regret criterion. Then energy crop supply curves, generated by the min-max regret model, are proved to be upward sloped alike classic LP supply curves.interval linear programming, min-max regret, energy crops, France, Crop Production/Industries, Resource /Energy Economics and Policy, C61, D81, Q18,

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Symphonie. No. 9. Re min. (D moll.)

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    SYMPHONIE. NO. 9. RE MIN. (D MOLL.) Symphonie. No. 9. Re min. (D moll.) ( - ) Cover ( - ) Titelseite (1) Symphonie. (No. 9.) (3) Advertising ( -

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Адсорбирующая эффективность кормовых добавок «Минезел Min-D-gel» и «Минезел Min-D-gelplus» в рационах цыплят-бройлеров

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    птица, цыплята-бройлеры, рацион, кормовые добавки, минезел min-d-gel, минезел min-d-gelplus, адсорбирующая эффективност

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    D-, L-, and total fecal lactate concentrations (median [min-max] mM), abundance of bacterial groups (median [min-max] LogSQ), and Dysbiosis Index (median [min-max]) in diseased dogs compared to healthy control dogs with Steel-Dwass test.

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    D-, L-, and total fecal lactate concentrations (median [min-max] mM), abundance of bacterial groups (median [min-max] LogSQ), and Dysbiosis Index (median [min-max]) in diseased dogs compared to healthy control dogs with Steel-Dwass test.</p

    General fuzzy min-max neural network for clustering and classification

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    This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993). The GFMM method combines supervised and unsupervised learning in a single training algorithm. The fusion of clustering and classification resulted in an algorithm that can be used as pure clustering, pure classification, or hybrid clustering classification. It exhibits a property of finding decision boundaries between classes while clustering patterns that cannot be said to belong to any of existing classes. Similarly to the original algorithms, the hyperbox fuzzy sets are used as a representation of clusters and classes. Learning is usually completed in a few passes and consists of placing and adjusting the hyperboxes in the pattern space; this is an expansion-contraction process. The classification results can be crisp or fuzzy. New data can be included without the need for retraining. While retaining all the interesting features of the original algorithms, a number of modifications to their definition have been made in order to accommodate fuzzy input patterns in the form of lower and upper bounds, combine the supervised and unsupervised learning, and improve the effectiveness of operations. A detailed account of the GFMM neural network, its comparison with the Simpson's fuzzy min-max neural networks, a set of examples, and an application to the leakage detection and identification in water distribution systems are given
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