• Genomics & Informatics
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• v.11 no.4
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• pp.174-179
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• 2013

The large amount of data on cancer genome research has contributed to our understanding of cancer biology. Indeed, the genomics approach has a strong advantage for analyzing multi-factorial and complicated problems, such as cancer. It is time to think about the actual usage of cancer genomics in the clinical field. The clinical cancer field has lots of unmet needs in the management of cancer patients, which has been defined in the pre-genomic era. Unmet clinical needs are not well known to bioinformaticians and even non-clinician cancer scientists. A personalized approach in the clinical field will bring potential additional challenges to cancer genomics, because most data to now have been population-based rather than individualbased. We can maximize the use of cancer genomics in the clinical field if cancer scientists, bioinformaticians, and clinicians think and work together in solving unmet clinical needs. In this review, we present one imaginary case of a cancer patient, with which we can think about unmet clinical needs to solve with cancer genomics in the diagnosis, prediction of prognosis, monitoring the status of cancer, and personalized treatment decision.

• The Journal of the Korean dental association
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• v.21 no.12 s.175
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• pp.997-1003
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• 1983

The author studied the quality and change of the effective demand for dental treatment of the cutpatients of the Wonkwang dental clinic from the March of 1982 to the August of 1983. The results were compared with the previous reports to find any changes that might come from the effect of dental insurance system. After discussing the results, the author concluded as follows: 1. The twenties were the most in the age groups, but it is desirable that age groups of mixed dentition be the most to enhance the dental health status of community. 2. The effective demand for dental treatment increased especially in the areas such as intraoral radiograph taking, amalgam filling, temporary filling, endodontic treatments, and drug application on the soft tissue, but decreased in the areas such as prosthodontic treatments, and there were no demand for the orthodontic treatment. 3. As compared with the absolute needs, the effective demand was relatively high for teeth extraction and amalgam filling, but it was generally very low. 4. So, the present extent of dental insurance system should be expanded, and the dental care delivery system should be established within the community. Finally, the economic and social status of Iri community should be enhance by political and educational plannings.

• Korean Journal of Child Studies
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• v.29 no.5
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• pp.227-242
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• 2008

The purpose of this study was to identify the reality of the demand for parent education by mothers of adolescents based on their knowledge of raising a child, related to parenting efficacy and parenting stress. Mothers of 207 middle school adolescents completed questionnaires. Instruments included scales on demand for parent education (Lee, 1995 and Byun, 1999), parenting efficacy (Gibaud-Wallston & Wandersman, 1978), and parenting stress (Kim, 2004 Abidin, 1990). Results showed mothers high in knowledge of parenting had higher parenting efficacy and less parenting stress mothers high in maternalanxiety expressed higher demand for parenting understanding and improvement and for their children's academic adjustment; and mothers with higher maternal parenting stress expressed higher demand for parenting education.

• Korean Institute of Interior Design Journal
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• v.19 no.2
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• pp.252-262
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• 2010

With the introduction of the ubiquitous technology, the housing culture centers have demonstrated future housing image or technology. But Ubiquitous Home Services in the future housing were more focused on implementation of environment for the future than exhibition that consumers can experience. The purpose of this study was to identify ubiquitous home services which were realized in domestic future housing and to compare those with results of previous researches on demand for u-services. For this study, field study was conducted with 3 domestic future housings and 14 previous studies on demand of u-services were analyzed by the standard of residents demand. The results of the study showed that u-services for housework and leisure life more than those for security and health, were applied in the future housing. However, residents prefered u-services for security and control of indoor environment to those for housework and leisure life. As a result, it was found thatu-services which residents needed mainly were discordant with those that were displayed frequently in future housing. Also developing u-services reflected the needs of residents, a test bed has to be established in the future housing and then pre-evaluaiton can be conducted.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.10
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• pp.126-133
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• 2007

This paper proposes information technology based data mining to forecast short term power demand. A time-series analyses have been applied to power demand forecasting, but this method needs not only heavy computational calculation but also large amount of coefficient data. Therefore, it is hard to analyze data in fast way. To overcome time consuming process, the author take advantage of universally easily available information technology based data-mining technique to analyze patterns of days and special days(holidays, etc.). This technique consists of two steps, one is constructing decision tree, the other is estimating and forecasting power flow using decision tree analysis. To validate the efficiency, the author compares the estimated demand with real demand from the Korea Power Exchange.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.121-129
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• 2017

Demand forecasting is one of the most critical tasks in defense logistics, because the failure of the task can bring about a huge waste of budget. Up to date, ROK-MND(Republic of Korea - Ministry of National Defense) has analyzed past component consumption data with time-series techniques to predict each component's demand. However, the accuracy of the prediction still needs to be improved. In our study, we attempted to find consumption pattern using data mining techniques. We gathered an 18,476 component consumption data first, and then derived diverse features to utilize them in identification of demanding patterns in the consumption data. The results show that our approach improves demand forecasting with higher accuracy.

• Journal of the Korean Regional Science Association
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• v.6 no.1
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• pp.39-55
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• 1990

The principal measure of housing demand is income and the preferences expressed by households through their respective indifference curves. In this context, housing essentially becomes a derived demand, i.e., the household consumes land and a location (or distance-in time and money costs), according to its relative preferences for space, accessibility, and all other nonhousing goods. This paper attempts to deal with both aspects of housing (apartment) demand and household mobility in the Seoul Metropolitan Areas. Housing services will be measured using hedonic regression technique. From observations on the market prices of dwelling units and on the underlying characteristics of housing, one can estimte the relationships between the two empirically. In predicting the probability of the future moves into new towns in the Seoul Metropolitan areas, the best predictors of the future moves into new best predictors are found to be the degree of satisfaction not only with the current residence as a whole, but with some of the major amenities, accessibility and child education. The reasons for moving into new towns are diverse depending on the households' current situation; the most frequently cited is "improvement of housing conditions," followed by "improvement of living environment," "asset improvement" and "home ownership". It appears that people move houses because of a dissatisfaction with their current housing status, relative their income or needs, or a desire to improve their housing and neighborhood amenities, or both. On the other hand, it is clear that the development of new towns in the Seoul Metropolitan Areas should be based on the analysis of housing demand and the pattern of household mobility in Seoul housing market.sehold mobility in Seoul housing market.

• Health Policy and Management
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• v.17 no.3
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• pp.106-128
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• 2007

The Korean health care system is under great controversy. Over the last 30 years, main goal of health policies was to pursue equal access of health care services. However, another goal of health policies laid on efficiency and Quality of care, it had lower priorities. Superficially, controversy stems from priority setting among goals of health care system, equity, efficiency and quality. At a deeper level, arguments arise from disagreement and confusion about the values of Korean health care system. One of the value spectrums believes that health care is the basic right of human beings, therefore it should be produced and distributed on need approach, and needs are known to be decided by professionals. If we accept need approach, health care is a pubic good. Another value of spectrums considers that health care should be distributed on demand approach. Demand approach means that health care is a consumption good on the positive economics, while normative judgement believes that health care is a public good. In equity aspect, health care is considered as a public good. Over the last several years, some of scholars proposed health care reform based on the principle of competition which is based on demand approach. Others argue that the competition principle based on demand approach is not appropriate for the reform proposal, because health care has to be approached on need base. If we do not make explicit values we should adopt, consensus building for reform is nearly impossible. From this perspective, this article will review an ideology and reality in health policies in Korea.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.3
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• pp.310-316
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• 2011

Purpose: In the present study, the difference in patients' nursing demands and nursing performance as perceived by the patients was examined. Methods: The participants were 272 patients on maintenance hemodialysis at five university hospitals. Nursing need and nursing performance were measured using the tool developed by Lee for this study. Results: The mean score for nursing demand was 3.35 points out of 4. The scores were higher for participants with middle school graduation or less, those not professing religion, and those whose medical insurance was of the medicaid type. The mean score for perceived nursing performance was 3.22 points out of 4. Nursing performance as perceived by hemodialysis patients was lower than nursing demand for 22 of 28 items. The item with the largest difference between nursing performance and nursing demand was 'Give a pain-free injection', followed by 'Explain about insurance benefits and supports' and 'Maintain quiet environment in the hemodialysis unit enabling rest during hemodialysis'. Conclusion: The results show that nursing performance as perceived by hemodialysis patients was lower than nursing demand. This result indicates a need to develop appropriate strategies to enhance nursing performance, especially for items that showed low nursing performance.

• Korea Journal of Hospital Management
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• v.26 no.3
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• pp.56-67
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• 2021

There are few domestic studies on medical services in medically vulnerable areas where medical use is not met due to a lack of medical resources. The past studies on smart medicine targeting medically vulnerable areas grasp only the overall satisfaction level, or the sub-dimensions of satisfaction are not classified clearly. Also, it lacks consideration of the patient's needs. This study aims to analyze the effect of users' experience of the smart medicine pilot project conducted in medically vulnerable areas on satisfaction and demand. The user's experience was measured by variables in the dimensions of structure, process, and outcome. Among the pilot project participants, 282 subjects responded to the 2019 survey. Using the hierarchical regression method, we tried to find out the determinants of satisfaction and service demands. Experience factors affecting satisfaction were found to be accessibility, certainty, effectiveness, and efficiency. In addition, it was found that the demand in their 60s was high and that accessibility, certainty, effectiveness, and efficiency had a statistically significant effect on the demand. It is expected that the smart medicine pilot project will be effectively operated by well utilizing the factors influencing satisfaction and demand revealed in this study.