Purpose: The purposes of this study were to develop the constipation assessment tool for identifying their bowel movement patterns, and to provide basic information for the assessment and intervention protocol on constipation for patients with terminal cancers. Methods: The study followed the steps: the first step was to build a conceptual framework based on literature review; the second step was to develop a tentative instrument by analyzing the conceptual framework and existing instruments; the third step was to test content validity and reliability; and the final step was to apply the tool to patients with terminal cancers (N=112). Results: The constipation assessment tool was consisted of total nine items; under the categories of subjective and objective data for diagnosis had 4 items, and under the initial assessment category which includes stool type, physical examination, and abdomen X-ray had 5 items. Conclusion: The constipation assessment tool developed in this study is very easy to use and useful in nursing practice, especially in hospice and palliative care setting. Particularly this tool has items on patient assessment which would be considered as an evidence for choosing nursing interventions. Based on the constipation assessment tool, the development and application of intervention protocol on constipation for patients with terminal cancers is warranted in future research.
Journal of the Korean Society for Library and Information Science
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v.35
no.3
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pp.173-189
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2001
This paper presents a framework for observable behavior that can be used as a basis for user modeling, and it reports the results of a pair of user studies that examine the joint utility of two specific behaviors. User models can be constructed by hand, or they can be teamed automatically based on feedback provided by the user about the relevance of documents that they have examined. By observing user behavior, it is possible to obtain implicit feedback without requiring explicit relevance judgments. Four broad categories of potentially observable behavior are identified : examine, retain, reference, and annotate, and examples of specific behaviors within a category are further subdivided based on the natural scope of information objects being manipulated . segment object, or class. Previous studies using Internet discussion groups (USENET news) have shown reading time to be a useful source of implicit feedback for predicting a user's preferences. The experiments reported in this paper extend that work to academic and professional journal articles and abstracts, and explore the relationship between printing behavior and reading time. Two user studies were conducted in which undergraduate students examined articles or abstracts from the telecommunications or pharmaceutical literature. The results showed that reading time can be used to predict the user's assessment of relevance, that the mean reading time for journal articles and technical abstracts is longer than has been reported for USENET news documents, and that printing events provide additional useful evidence about relevance beyond that which can be inferred from reading time. The paper concludes with a brief discussion of the implications of the reported results.
Ong'ondo, Cyrus Babu;Gwaya, Abednego Oswald;Masu, Sylvester
Journal of Construction Engineering and Project Management
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v.9
no.2
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pp.1-24
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2019
Poor project performance has been noted as the bane in the construction industry globally. This paper sought to investigate, by way of literature, the performance patterns of construction projects in Kenya since independence (1963-2018). This was informed by reports of undesirable project performance in the industry. This descriptive study used available studies previously done in this subject area. In sum, literature is replete with evidence on a myriad of challenges facing the execution of projects. The study established that generally, the project performance is poor and has assumed a chronic trajectory spanning over five decades. On average, the findings reveal that 35-60% of projects initiated in Kenya face cost overruns while time overrun is most severe with 35-73% projects overrunning their schedule. In addition, the findings problematize the issue of plurality of performance measurement regimes in the construction industry. Here, it was observed that no singular construct exists to objectively measure the various facets that constitute the 'health' of a project. This paper has contributed to the body of knowledge by examining the performance patterns in Kenya for over fifty years while at the same time identifying the bottlenecks inherent in projects execution. Importantly, the conceptual performance efficiency framework derived in the current study presents a paradigm shift in the monitoring and evaluation of projects. To this end, an in-depth analysis is recommended on the interaction of efficiency enablers in the buildup of performance efficiency index (PEI). Similarly, a further inquiry is recommended on the integration and impact of the proposed framework in the management of projects.
Proceedings of the Korea Water Resources Association Conference
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2023.05a
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pp.163-163
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2023
Flooding has become an increasing event which is one of the major natural disasters responsible for direct economic damage in South Korea. Driven by climate change, precipitation extremes play significant role on the flood damage and its further increase is expected to exacerbate the socioeconomic impact in the country. However, the empirical evidence associating changes in precipitation extremes to the historical flood damage is limited. Thus, there is a need to assess the causal relationship between changes in precipitation extremes and flood damage, especially in agricultural region like Chungcheong region in South Korea. The spatial and temporal changes of precipitation extremes from 10 synoptic stations based on daily precipitation data were analyzed using the ClimPACT2 tool and Mann-Kendall test. The four precipitation extreme indices consisting of consecutive wet days (CWD), number of very heavy precipitation wet days (R30 mm), maximum 1-day precipitation amount (Rx1day), and simple daily precipitation intensity (SDII), which represent changes in intensity, frequency, and duration, respectively, and the time series data on flooded area and flood damage from 1985 to 2020 were used to investigate the causal relationship in the ARDL-ECM framework and pairwise Granger causality analysis. The trend results showed that majority of the precipitation indices indicated positive trends, however, CWD showed no significant changes. ARDL-ECM framework showed that there was a long-run relationship among the variables. Further analysis on the empirical results showed that flooded area and Rx1day have significant positive impacts on the flood damage in both short and long-runs while R30 mm only indicated significant positive impact in the short-run, both in the current period, which implies that an increase in flooded area, Rx1day, and R30 mm will cause an increase in the flood damage. The pairwise Granger analysis showed unidirectional causality from the flooded area, R30 mm, Rx1day, and SDII to flood damage. Thus, these precipitation indices could be useful as indicators of pluvial flood damage in Chungcheong region of South Korea.
Oral, cervical and breast cancers, which are either preventable and/or amenable to early detection and treatment, are the leading causes of cancer-related morbidity and mortality in India. In this paper, we describe implementation science research priorities to catalyze the prevention and control of these cancers in India. Research priorities were organized using a framework based on the implementation science literature and the World Health Organization's definition of health systems. They addressed both community-level as well as health systems-level issues. Community-level or "pull" priorities included the need to identify effective strategies to raise public awareness and understanding of cancer prevention, monitor knowledge levels, and address fear and stigma. Health systems-level or "push" and "infrastructure" priorities included dissemination of evidence-based practices, testing of point-of-care technologies for screening and diagnosis, identification of appropriate service delivery and financing models, and assessment of strategies to enhance the health workforce. Given the extent of available evidence, it is critical that cancer prevention and treatment efforts in India are accelerated. Implementation science research can generate critical insights and evidence to inform this acceleration.
Journal of the Korea Institute of Information Security & Cryptology
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v.31
no.4
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pp.817-839
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2021
To manage software safely, the military acquires and manages products in accordance with the RMF A&A. RMF A&A is standard for acquiring IT products used in the military. And it covers the requirements, acquisition through evaluation and maintenance of products. According to the RMF A&A, product development activities should reflect the risks of the military. In other words, developers have mitigated the risks through security by design and supply chain security. And they submit evidence proving that they have properly comply with RMF A&A's security requirements, and the military will evaluate the evidence to determine whether to acquire IT product. Previously, case study of RMF A&A have been already conducted. But it is difficult to apply in real-world, because it only address part of RMF A&A and detailed information is confidential. In this paper, we propose the evidence fulfilling method that can satisfy the requirements of the RMF A&A. Furthermore, we apply the proposed method to real-world drone system for verifying our method meets the RMF A&A.
In this thesis we attempt to analyze modern Korean poetic texts in the franmeworks of text limgisitics and cognitive pragmatics. Both frameworks describe and explai human verbal communicantion in terms of congnitive information-processing procedures.By utilizing analytical devices provided by seven standards of textuality we can analyze any type of text,especially in terms of the cognitive operations underlying the production and reception processes.It is clamed in cognitive pragmatic framework that human ostensive inforential communication is regulated by the Principle of Relevance.We claim that the relevance-based framework of pragmatics provides evidence and rationale for those cognitive operations identified in the text linguistic framework. poetic texts involve every kind of cognitive strategies and processing procedures underlying human verbal communication.So,if modern Korean poetic texts are satisfactorily analyzed by text linguistics and cognitive pragmatics,it means that both frameworks are very useful tools for analyzing texts and that all the other text types which are less complicated than poetic text will also be analyzed by these frameworks. Researchers of poetry,and poets,are sensitive to poetic effects.They feel more of poeticity while reading poetic texts than ordinary readers do.However,these researchers or poets sometimes give different interpretation of a single poetic text.The interpretation of poetry cannot be anything,because poets write poems with particular intertions and do not just throw them out so as to be interpreted at ramdom.This thesis suggersts that the poeticity felt by the reader can be described and accounted for in a scientific way.In other words,text linguistics and cognitive pragmatics enable the researchers of poetry to become objective in interpreting poetic texts. It will be clearly shown that we have to see poetic texts from a cognitive perspective,since they are by-products of cognitive processing performed by discourse participants.
This study empirically examines if there is a certain linkage between the production regimes and welfare systems; and if linked, how they are linked. It also investigates what the different regimes performed in terms of economic growth and redistribution. As a matter of fact, we have a series of studies that explores structural diversity of production and welfare. However, the existing studies are limited in that they consider only specific facets of the structure, although the structure of welfare capitalism should be studied as a comprehensive whole. This is the gap which this study tries to overcome. The study is composed of two major parts. The first one is the cluster analysis that examines if Esping-Andersen's notion about three different welfare regime and the thesis of diversity of capitalism can be dealt within a single research framework. The second is the ANOVA analysis investigating if variables of production and welfare are to be statistically different in the trichotomy framework. According to the result of the analyses, we can find at least two important evidences about institutional complementaries of production and welfare. First, Esping-Andersen's framework is useful to comprehensively deal with production as well as welfare. Secondly, there are statistically different regimes of production and welfare in the context of political economic and social policy variables. What is the most striking conclusion of the study is that there is no difference among the regimes in terms of the level of economic efficiency; while we can find a huge differences in terms of the level of welfare effectiveness. In conclusion, there is no substantive evidence to argue that welfare is innately antithesis of economic growth.
Journal of the military operations research society of Korea
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v.23
no.2
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pp.45-71
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1997
There has been considerable research recently on uncertainty handling in the fields of artificial intelligence and knowledge-based system. Various numerical and non-numerical methods have been proposed for representing and propagating uncertainty in knowledge-based system. The Bayesian method, the Dempster-Shafer's Evidence Theory, the Certainty Factor model and the Fuzzy Set Theory are most frequently appeared in the knowledge-based system. Each of these four methods views uncertainty from a different perspective and propagates it differently. There is no single method which can handle uncertainty properly in all kinds of knowledge-based systems' domain. Therefore a knowledge-based system will work more effectively when the uncertainty handling method in the system fits to the system's environment. This paper proposed a framework for selecting proper uncertainty handling methods in knowledge-based system with respect to characteristics of problem domain and cognitive styles of experts. A schema with strategic/operational and unstructured/structured classification is employed to differenciate domain. And a schema with systematic/intuitive and preceptive/receptive classification is employed to differenciate experts' cognitive style. The characteristics of uncertainty handling methods are compared with characteristics of problem domains and cognitive styles respectively. Then a proper uncertainty handling method is proposed for each category.
The paper presents the results of a study on the determinants of customer satisfaction for a retail bank using the data of 2009 NCSI(National Customer Satisfaction Index, KPC). In doing so, it uses a revised version of the traditional analyses based on derived measures of attribute importance. The need for a revised methodology is prompted by the insights of the two- and three-factor theories of customer satisfaction, such as Kano's framework. Indeed, the evidence from 1635 customers of 6 Korean banks confirms an asymmetric relationship between attribute performances and overall customer satisfaction. The results from both a traditional and our revised approach are compared. While this approach can be applied across different industries, it should not be assumed that the numerical results presented in the paper apply to contexts with substantially different underlying characteristics. General trends and practical implications for banking services are reported in the conclusions.
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