• Korean Journal of Clinical Laboratory Science
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• v.36 no.1
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• pp.13-18
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• 2004

This study was designed to establish working range for reoportable range in own laboratory in order to cover the upper and lower limits of the range in test method. We experimented ten times during 10 days for setting of reportable range with between run for method evaluation. It is generally assumed that the analytical method produces a linear response and that the test results between those upper and lower limits are then reportable. CLIA recommends that laboratories verify the reportable range of all moderate and high complexity tests. The Clinical Laboratory Improvement Amendments(CLIA) and Laboratory Accreditation Program of the Korean Society for Laboratory Medicine states reportable range is only required for "modified" moderately complex tests. Linearity requirements have been eliminated from the CLIA regulations and from others accreditation agencies, many inspectors continue to feel that linearity studies are a part of good lab practice and should be encouraged. It is important to assess the useful reportable range of a laboratory method, i.e., the lowest and highest test results that are reliable and can be reported. Manufacturers make claims for the reportable range of their methods by stating the upper and lower limits of the range. Instrument manufacturers state an operating range and a reportable range. The commercial linearity material can be used to verify this range, if it adequately covers the stated linear interval. CLIA requirements for quality control, must demonstrate that, prior to reporting patient test results, it can obtain the performance specifications for accuracy, precision, and reportable range of patient test results, comparable to those established by the manufacturer. If applicable, the laboratory must also verify the reportable range of patient test results. The reportable range of patient test results is the range of test result values over which the laboratory can establish or verify the accuracy of the instrument, kit or test system measurement response. We need to define the usable reportable range of the method so that the experiments can be properly planned and valid data can be collected. The reportable range is usually defined as the range where the analytical response of the method is linear with respect to the concentration of the analyte being measured. In conclusion, experimental results on reportable range using concentrated control sample and zero calibrators covering from highest to lowest range were salicylate $8.8{\mu}g/dL$, phenytoin $0.67{\mu}g/dL$, phenobarbital $1.53{\mu}g/dL$, primidone $0.16{\mu}g/dL$, theophylline $0.2{\mu}g/dL$, vancomycine $1.3{\mu}g/dL$, valproic acid $3.2{\mu}g/dL$, digitoxin 0.17ng/dL, carbamazepine $0.36{\mu}g/dL$ and acetaminophen $0.7{\mu}g/dL$ at minimum level and salicylate $969.9{\mu}g/dL$, phenytoin $38.1{\mu}g/dL$, phenobarbital $60.4{\mu}g/dL$, primidone $24.57{\mu}g/dL$, theophylline $39.2{\mu}g/dL$, vancomycine $83.65{\mu}g/dL$, valproic acid $147.96{\mu}g/dL$, digitoxin 5.04ng/dL, carbamazepine $19.76{\mu}g/dL$, acetaminophen $300.92{\mu}g/dL$ at maximum level.

• Journal of the Korean GEO-environmental Society
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• v.16 no.12
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• pp.45-52
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• 2015

With the rising interest in the environment, more attention on ecological restoration for damaged slope surface to restore its original state has been drawn. Generally, the most useful method is vegetation based spray work. This method uses green soil including sewage sludge, sawdust, paper sludge, and weathered granite soil. However, because there are neither accurate information nor test values about green soil, green soil is often lost by environmental factors such as rainfalls and strong winds. To solve the problem of green soil, it is necessary to prepare design standards about green soil, and conduct studies to deal with green soil loss in consideration of various variables including basic material property, soil quality of slope surface, and weather. This study was conducted in the mixture of green soil and eco-friendly soil stabilizer. With green soil, basic material property test and compaction test were conducted for the analysis on the basic characteristics of green soil. In the mixture with soil stabilizer at a certain ratio, we conducted shear strength test depending on the ratio in order to analyze the maximum shear strength, cohesion and the change in internal friction angles. Furthermore, in the mixture ratio of green soil and soil stabilizer, which is the same as the ratio in the shear strength test, an inclination of slope surface was made in laboratory for the analysis on erosion and germination rate. Finally, this study evaluated the most effective and economic mixing ratio of soil stabilizer to cope with neighboring environmental factors. According to the test, the shear strength of green soil increased up to 51% rely onto the mixing ratio of and a curing period, and its cohesion and internal friction angle also gradually increases. It is judged that the mixture of soil stabilizer was effective in improving shear strength and thereby increased the stability of green soil.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.221-232
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• 2021

This study analyzed co-registration results according to the geometric processing level of reference image, which are Level 1R and Level 1G provided from KOMPSAT-3 and KOMPSAT-3A images. We performed co-registration using each Level 1R and Level 1G image as a reference image, and Level 1R image as a sensed image. For constructing the experimental dataset, seven Level 1R and 1G images of KOMPSAT-3 and KOMPSAT-3A acquired from Daejeon, South Korea, were used. To coarsely align the geometric position of the two images, SURF (Speeded-Up Robust Feature) and PC (Phase Correlation) methods were combined and then repeatedly applied to the overlapping region of the images. Then, we extracted tie-points using the SURF method from coarsely aligned images and performed fine co-registration through affine transformation and piecewise Linear transformation, respectively, constructed with the tie-points. As a result of the experiment, when Level 1G image was used as a reference image, a relatively large number of tie-points were extracted than Level 1R image. Also, in the case where the reference image is Level 1G image, the root mean square error of co-registration was 5 pixels less than the case of Level 1R image on average. We have shown from the experimental results that the co-registration performance can be affected by the geometric processing level related to the initial geometric relationship between the two images. Moreover, we confirmed that the better geometric quality of the reference image achieved the more stable co-registration performance.

• Journal of Korean Society of Disaster and Security
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• v.12 no.1
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• pp.11-21
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• 2019

This study assessed the risk of disaster by using QRE(Quick Risk Estimation - UNISDR Roll Model City of Basic Evaluation Tool) tools for three natural disasters and sixteen social disasters managed by the Seoul Metropolitan Government. The criteria for selecting 19 disaster types in Seoul are limited to disasters that occur frequently in the past and cause a lot of damage to people and property if they occur. We also considered disasters that are likely to occur in the future. According to the results of the QRE tools for disaster type in Seoul, the most dangerous type of disaster among the Seoul city disasters was "suicide accident" and "deterioration of air quality". Suicide risk is high and it is not easy to take measures against the economic and psychological problems of suicide. This corresponds to the Risk ratings(Likelihood ranking score & Severity rating) "M6". In contrast, disaster types with low risk during the disaster managed by the city of Seoul were analyzed as flooding, water leakage, and water pollution accidents. In the case of floods, there is a high likelihood of disaster such as localized heavy rains and typhoons. However, the city of Seoul has established a comprehensive plan to reduce floods and water every five years. This aspect is considered to be appropriate for disaster prevention preparedness and relatively low disaster risk was analyzed. This corresponds to the disaster Risk ratings(Likelihood ranking score & Severity rating) "VL1". Finally, the QRE tool provides the city's leaders and disaster managers with a quick reference to the risk of a disaster so that decisions can be made faster. In addition, the risk assessment using the QRE tool has helped many aspects such as systematic evaluation of resilience against the city's safety risks, basic data on future investment plans, and disaster response.

• 한국노년학
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• v.41 no.2
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• pp.271-284
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• 2021

This study was conducted to derive factors that affect the satisfaction of home visiting health care services and to develop effective community care models by using the results of Seoul's outreach service which is the basis for Korean community care. The population of the study was the elderly aged 65 and 70 who participated in the Seoul's outreach community services 3rd stage (July 2017 - June 2018) and 4th stage (July 2018 to June 2019). 2,200 people were extracted by the proportional allocation method and home visit interviews were conducted on them. Subjects were divided into sub-groups based on chronic disease prevalence, and logistic regression was conducted to derive factors that affect the satisfaction of home visiting health care services. The results demonstrated that the elderly without chronic diseases were more satisfied when they received health education and counseling services, the elderly with one chronic disease were more satisfied when they received Community resource-linked services. In the case of elderly people with two or more chronic diseases, the service satisfaction level is increased when health condition assessment and Community resource-linked services are provided. Regardless of whether or not they have chronic diseases, service delivery time was a factor that increased satisfaction in home visiting health care. And the degree of explanation understanding was a factor that increased satisfaction for both single and complex chronic patients. Home Visiting health care services based on the community is a key component of the ongoing community care. In order to increase the sustainability and effectiveness of community care in the future, Community-oriented health care services based on the degree of chronic diseases of the elderly should be provided. In order to provide more effective services, however, it is necessary (1) to establish a linkage system to share health information of the subject held by the National Health Insurance Service to local governments and (2) to provide capacity-building education for visiting nurses to improve the quality of home visiting health care services. It is hoped that this study will be us ed as bas ic data for the successful settlement of community care.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.3
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• pp.478-486
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• 2013

The purpose of this study was to analyze consumer consumption and product concept demands of Korean rice-wine. An online survey, conducted from April 28, 2010 to May 6 2010, targeted 200 consumers in Seoul and the Gyeonggi-do area. More than half of the respondents (51.3%) drank rice-wine because of the taste. The common reasons for dissatisfaction with rice-wine were hangovers (35.7%) and taste (16.9%). From analyzing rice-wine preferences, the most preferred ingredient was rice (57.8%), while the most preferred aroma and taste was derived from the fruit (48.7% and 58.4%, respectively). The most common methods consumers observed for promoting rice-wine consumption were the "development and management of rice-wine brands" (59.7%), and "continuous promotion" (44.8%). The most important attributes of a rice-wine product included its taste (4.60), followed by its quality (4.41) using 5-point Likert scale. An importance-performance analysis (IPA) was performed for the 17 attributes of rice-wine and identified targets for product management strategies, including the "usage of domestic ingredients", "ease of purchase", clarity of "product information", and "external image". Therefore, developing solid concepts in marketing strategy are required and may be achieved by understanding the consumer preferences and demands of rice-wine.

• Journal of Hospice and Palliative Care
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• v.10 no.3
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• pp.137-144
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• 2007

Purpose: The purpose of this study is to identify and assess the needs of the cancer patients and their families and provide basic data to meet with their needs. Methods: This is a descriptive study using questionnaire method. Questionnaire were collected by mail from 76 discharged patients from a hospice ward from May until the end of October, 2004, and data were analyzed by SPSS 10.0. Results: Admitted patients had needs of pain control (85.5%), non-pain symptoms (63.2%) such as vomiting, dyspnea, ascites, etc, and emotional and spiritual problem solving (28.9%, 14.5%). Interests of patients were health care of himself/herself (65.8%), concern for their spouses left alone (32.9%), and future of their children (15.8%). In families' needs of care of 5 areas, "information on patient's status and treatment/nursing care" was shown most high score ($3.48{\pm}0.62$). In detailed questions, they request most 'to inform the prognosis of patients' and the next is 'to inform the reasons that nursing care was required'. The next highest score was to 'inform family roles' ($3.39{\pm}0.64$), and next was spiritual support ($3.11{\pm}0.79$), and emotional support ($3.08{\pm}0.72$). Expectations of family on the treatment were comfortable dying (73.4%) scored the highest. Patients' families were satisfied with volunteer service most in service area (97.4%). The next was pain control (89.5%) and nursing service (77.6%). Conclusion: Health care staff should identify the actual needs of families caring cancer patients and they should operate realistic programme which can give continuous and assistance by reflecting individual needs and characteristics. With these srategies, the quality of life of patients and families can be improved. And then the intervention programme should be developed to measure subjective nursing care needs of terminally ill cancer patients and their families.

• Research in Plant Disease
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• v.20 no.4
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• pp.235-244
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• 2014

Clubroot and Fusarium wilt of cole crops (Brassica oleracea L.) are destructive diseases which for many years has brought a decline in quality and large losses in yields all over the world. The breeding of resistant cultivars is an effective approach to reduce the use of chemical fungicides and minimize crop losses. This study was conducted to evaluate the resistance of 60 cabbage (B. oleracea var. capitata) and 6 broccoli (B. oleracea var. italica) lines provided by The RDA-Genebank Information Center to clubroot and Fusarium wilt. To investigate resistance to clubroot, seedlings of the genetic resources were inoculated with Plasmodiophora brassicae by drenching the roots with a mixed spore suspension (1 : 1) of two isolates. Of the tested genetic resources, four cabbage lines were moderately resistant and 'K166220' represented the highest resistance to P. brassicae. The others were susceptible to clubroot. On the other hand, to select resistant plants to Fusarium wilt, the genetic resources were inoculated with Fusarium oxysporum f. sp. conglutinans by dipping the roots in spore suspension of the fungus. Among them, 17 cabbage and 5 broccoli lines were resistant, 16 cabbage lines were moderately resistant, and the others were susceptible to Fusarium wilt. Especially, three cabbage ('IT227115', 'K161791', 'K173350') and two broccoli ('IT227100', 'IT227099') lines were highly resistant to the fungus. We suggest that the resistant genetic resources can be used as a basic material for resistant B. oleracea breeding system against clubroot and Fusarium wilt.

• Current Research on Agriculture and Life Sciences
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• v.6
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• pp.99-104
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• 1988

Water polution status of urban streams in Daegu city were observed to provide the basic information for the effective purification of urban sewage and the conservation of Keumho river. Periodically, pH, DO, COD, nitrate and phosphate of water were investigated at Yee cheon, B$\ddot{o}$m$\ddot{o}$ cheon, Chilsung cheon, Dalseo cheon and Kongdan cheon. The results were as follows. 1) The ranges of average values of analyzed components for 12 months at six sampling sites were pH 7.3-8.2, DO trace-6.5ppm, COD 20.4-116.9ppm, T-N 23.2-31.7ppm, $NH_4$-N 18.3-27.7ppm, $NO_2$-N 0.08-1.89ppm, $NO_3$-N 0.19-1.51ppm, $PO_4$-P 2.50-17.28ppm. 2) At Kongdan cheon, the most heavily polluted site, average values of components were pH 8.2, DO trace, COD 116.9ppm, T-N 23.2ppm, $NH_4$-N 18.3ppm, $NO_2$-N 1.89ppm, $NO_3$-N 1.51ppm, $PO_4$-P 17.28ppm. 3) The values of pH, DO, COD, T-N and $NH_4$-N at winter urban streams were higher than those at summer urban streams. And the values of $NO_2$-N and $PO_4$-P were more or less higher at summer urban streams.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.9
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• pp.351-360
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• 2018

The LWR (Locally Weighted Regression) model, which is traditionally a lazy learning model, is designed to obtain the solution of the prediction according to the input variable, the query point, and it is a kind of the regression equation in the short interval obtained as a result of the learning that gives a higher weight value closer to the query point. We study on an incremental ensemble learning approach for LWR, a form of lazy learning and memory-based learning. The proposed incremental ensemble learning method of LWR is to sequentially generate and integrate LWR models over time using a genetic algorithm to obtain a solution of a specific query point. The weaknesses of existing LWR models are that multiple LWR models can be generated based on the indicator function and data sample selection, and the quality of the predictions can also vary depending on this model. However, no research has been conducted to solve the problem of selection or combination of multiple LWR models. In this study, after generating the initial LWR model according to the indicator function and the sample data set, we iterate evolution learning process to obtain the proper indicator function and assess the LWR models applied to the other sample data sets to overcome the data set bias. We adopt Eager learning method to generate and store LWR model gradually when data is generated for all sections. In order to obtain a prediction solution at a specific point in time, an LWR model is generated based on newly generated data within a predetermined interval and then combined with existing LWR models in a section using a genetic algorithm. The proposed method shows better results than the method of selecting multiple LWR models using the simple average method. The results of this study are compared with the predicted results using multiple regression analysis by applying the real data such as the amount of traffic per hour in a specific area and hourly sales of a resting place of the highway, etc.