• 중환자간호학회지
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• 제12권1호
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• pp.46-56
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• 2019

Purpose : The purpose of this study was to identify minimum data sets for oral mucous integrity-related documentation and to analyze nursing records for oral care. Methods: To identify minimum data sets for oral status, the authors reviewed 26 assessment tools and a practical guideline for oral care. The content validity of the minimum data sets was assessed by three nurse specialists. To map the minimum data sets to nursing records, the authors examined 107 nursing records derived from 44 patients who received chemotherapy or hematopoietic stem cell transplantation in one tertiary hospital. Results: The minimum data sets were 10 elements such as location, mucositis grade, pain, hygiene, dysphagia, exudate, inflammation, difficulty speaking, and moisture. Inflammation contained two value sets: type and color. Mucositis grade, pain, dysphagia and inflammation were recorded well, accounting for a complete mapping rate of 100%. Hygiene (100%) was incompletely mapped, and there were no records for exudate (83.2%), difficulty speaking (99.1%), or moisture (88.8%). Conclusion: This study found that nursing records on oral mucous integrity were not sufficient and could be improved by adopting minimum data sets as identified in this study.

• Asia pacific journal of information systems
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• 제4권1호
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• pp.115-138
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• 1994

Current database systems are based on the assumption that a datum denotes the same meaning; however, in reality, the violation of this assumption is not unusual. Some data are created in such a way that they represent different sets of attribute values. The current research formulates this phenomenon as dissimilarities of derivation rules and defines multi-derived data as ones that are derived by multiple rules. For multi- derived data, this research proposes a new retrieval scheme and analyze its implication with relation to data retrieval.

• Kyungpook Mathematical Journal
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• 제24권1호
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• pp.51-53
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• 1984

• 대한수학회지
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• 제40권5호
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• pp.757-768
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• 2003

In 1967, as an answer to the question of P. Erdos on a set of integers having distinct subset sums, J. Conway and R. Guy constructed an interesting sequence of sets of integers. They conjectured that these sets have distinct subset sums and that they are close to the best possible with respect to the largest element. About 30 years later (in 1996), T. Bohman could prove that sets from the Conway-Guy sequence actually have distinct subset sums. In this paper, we generalize the concept of subset-sum-distinctness to k-SSD, the k-fold version. The classical subset-sum-distinct sets would be 1-SSD in our definition. We prove that similarly derived sequences as the Conway-Guy sequence are k-SSD.

• Molecules and Cells
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• 제42권8호
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• pp.579-588
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• 2019

Gene set enrichment analysis (GSEA) is a popular tool to identify underlying biological processes in clinical samples using their gene expression phenotypes. GSEA measures the enrichment of annotated gene sets that represent biological processes for differentially expressed genes (DEGs) in clinical samples. GSEA may be suboptimal for functional gene sets; however, because DEGs from the expression dataset may not be functional genes per se but dysregulated genes perturbed by bona fide functional genes. To overcome this shortcoming, we developed network-based GSEA (NGSEA), which measures the enrichment score of functional gene sets using the expression difference of not only individual genes but also their neighbors in the functional network. We found that NGSEA outperformed GSEA in identifying pathway gene sets for matched gene expression phenotypes. We also observed that NGSEA substantially improved the ability to retrieve known anti-cancer drugs from patient-derived gene expression data using drug-target gene sets compared with another method, Connectivity Map. We also repurposed FDA-approved drugs using NGSEA and experimentally validated budesonide as a chemical with anti-cancer effects for colorectal cancer. We, therefore, expect that NGSEA will facilitate both pathway interpretation of gene expression phenotypes and anti-cancer drug repositioning. NGSEA is freely available at www.inetbio.org/ngsea.

• The Plant Pathology Journal
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• 제26권4호
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• pp.409-416
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• 2010

Fusarium species, a large group of plant pathogens, potentially pose quarantine concerns worldwide. Here, we focus on the development of a method for detecting four Fusarium species in quarantined plants in Korea: F. solani f. sp. cucurbitae, F. stilboides, F. redolens, and F. semitectum var. majus. Species-specific primers were designed from the nucleotide sequences of either the translation elongation factor-1 alpha (TEF1) gene or RNA polymerase II subunit (RPB2) gene. Two different primer sets derived from TEF1, all specific to F. solani f. sp. cucurbitae, were able to differentiate the two races (1 and 2) of this species. A set of nested primers for each race was designed to confirm the PCR results. Similarly, two primer sets derived from RPB2 successfully amplified specific fragments from five F. stilboides isolates grouped within a single phylogenetic clade. A specific TEF1 primer set amplified a DNA fragment from only four of the 12 F. redolens strains examined, which were grouped within a single phylogenetic clade. All of the F. semitectum var. majus isolates could be specifically detected with a single RPB2 primer set. The specificity of the primer sets developed here was confirmed using a total of 130 Fusarium isolates.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2005년도 추계 학술발표회 논문집
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• pp.181-186
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• 2005

Many data sets obtained from surveys or medical trials often include missing observations. When these data sets are analyzed, it is general to use only complete cases. However, it is possible to have big biases or involve inefficiency. In this paper, we consider a method for estimating parameters in logistic linear models involving non-ignorable missing data mechanism. A binomial response and normal exploratory model for the missing data are used. We fit the model using the EM algorithm. The E-step is derived by Metropolis-hastings algorithm to generate a sample for missing data and Monte-carlo technique, and the M-step is by Newton-Raphson to maximize likelihood function. Asymptotic variances of the MLE's are derived and the standard error and estimates of parameters are compared.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1911-1916
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• 2003

Parameter set of an LPV system is divided into a number of subsets so that robust feedback gains may be designed for each subset of parameters. A concept of quasi-invariant set is introduced, which allows finite steps of delay in reentrance to the set. A feasible and positively invariant set with respect to a gain-scheduled state feedback control can be easily obtained from the quasi-invariant set. A receding horizon control strategy can be derived based on this feasible and invariant set.

• 터널과지하공간
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• 제7권3호
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• pp.202-207
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• 1997

Jointed rock is often modeled using ubiquitious joint models, anisotropic plasticity models with yield condions that simulate slip along joint sets. In this paper, a ubiquitous joint model is derived for a rock mass cut by two sets of continuous joints. The model is used to compute the bearing capacity of a footing resting on jointed rock. Comparison to a series of Distinct Element simulations with different joint spacings, suggests that ubiquitous joint modles are only appropriate when the joint spacing is small.

• 대한수학회보
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• 제51권3호
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• pp.667-680
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• 2014

In this paper, $\mathcal{I}$-scattered spaces are introduced, and their characterizations and properties are given. We prove that (X, ${\tau}$) is scattered if and only if (X, ${\tau}$, $\mathcal{I}$) is $\mathcal{I}$-scattered for any ideal $\mathcal{I}$ on X.