• Korean Journal of Clinical Laboratory Science
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• v.49 no.4
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• pp.382-389
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• 2017

Currently, reticulocyte experimental calculation technology used in clinical laboratories are divided two types: manual and automated. Manual reticulocyte counting using a microscopy lacks accuracy due particularly to its low reproducibility, affecting the accuracy of manual reticulocyte count. Moreover, Automatic blood corpuscle analyzer flow cytometry is difficult to be used in underdeveloped countries and small scale laboratories due to relatively high cost. Therefore, this study tried to find a new method to complement these drawbacks. The aim of this study was to compare the stained reticulocytes count by spectrophotometer and also to analyze the statistics of spectrophotometer and flow cytometer. The same 8 EDTA samples were repeated 36 times to compare the agreement between spectrophotometer and flow cytometer. This study measured the specimen diluted 600 times at 700~780 nm by 10 differences. Wavelength between 710 to 730 by absorbance showed a positive correlation between standard data and test data (r=0.967, p<0.01), presenting a correlation between variables. Statistical analyses of regression for test and standard parametric data, the optimal dilution factor was 600 times. Therefore, this study tried to technical utilizes such as contributing economical for the reticulocyte absorbance apply from the auto spectrophotometer, a monitoring system for the reticulocyte relation anemia, etc. Therefore, more extensive studies, including an auto chemical analyzer application, will be needed.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.31-38
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• 2005

In this paper, we propose the chromatic adaptation models (CAM) for the variations of the luminance levels. A chromatic adaptation model, CAM$\Delta$Y , is proposed according to the change of luminance level under the same illuminants. The proposed model is obtained by the transform the test colors of the high luminance into the corresponding colors of the low luminance. In the proposed model, the optimal coefficients are obtained from the corresponding colors data of the Breneman's experiments. In the experimental results, we confined that the chromaticity errors, $\Delta$u'v', between the predicted colors by the proposed model and the corresponding colors of the Breneman's experiments are 0.004 in u'v' chromaticity coordinates. The prediction performance of the proposed model is excellent because this error is the threshold value that two adjacent color patches can be distinguished. Additionally, we also propose equal-whiteness CCT curves (EWCs) by CAM$\Delta$Y according to the luminance levels of the surround viewing conditions. And the proposed EWCs can be used as the theoretical standard which determines the reference white of the color display devices.

• Korean Journal of Remote Sensing
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• v.21 no.4
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• pp.253-271
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• 2005

We have analyzed surface water temperature and seasonal stratification of lakes in the Han river system using time-series Landsat images and in situ measurement data. Using NASA equation, at-satellite temperature is derived from 29 Landsat-5 TM and Landsat-7 ETM+ images obtained from 1994 to 2004, and was compared with in situ surface temperature on river-type dam lakes such as Paro, Chuncheon, Euiam, Chongpyong, Paldang, and with 10m-depth temperature on lake-type dam lake Soyang. Although the in situ temperature at the time of satellite data acquisition was interpolated from monthly measurements, the number of images with standard deviation of temperature difference (at-satellite temperature - in situ interpolated temperature) less than $2^{\circ}C$ was 24 on which a novel statistical atmospheric correction could be applied. The correlation coefficient at Lake Soyang was 0.915 (0.950 after correction) and 0.951-0.980 (0.979-0.997 after correction) at other lakes. This high correlation implies that there exist a mixed layer in the shallow river-like dam lakes due to physical mixing from continuous influx and efflux, and the daily and hourly temperature change is not fluctuating. At Lake Soyang, an anomalous temperature difference was observed from April to July where at-satellite temperature is $3-5^{\circ}C$ higher than in situ interpolated temperature. Located in the uppermost part of the Han river system and its influx is governed only by natural precipitation, Lake Soyang develops stratification during this time with rising sun elevation and no physical mixture from influx in this relatively dry season of the year.

• Korean Journal of Comparative Education
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• v.27 no.4
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• pp.1-22
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• 2017

To date, the study of students with multicultural disabilities has been limited to language problems. The purpose of this study was to investigate the effects of communication between parents and professionals on the IEP and teaching strategies of students in multicultural special education in the United States. From 2015 to 2016, structural equation modeling was conducted using AMOS 21 based on data from 406 elementary, middle, and high school teachers who has experiencing of multicultural disabilities. The correlation coefficients between IEP and the variables affecting instructional strategies were significantly high between -044 and .489 as a whole. Especially, teaching strategy and communication with parents were relatively more effective than professional communication high correlation. In addition, with regard to the impact on IEP and teaching strategies, parental communication has been found to be closely related to IEP and teaching strategies. However, communication with professionals has a direct effect on teaching strategies. There was no significant correlation between parent and professional communication. The purpose of this study is to understand the importance of communication with parents of multicultural disabled students and their interest and opinions on children positively to IEP and teaching strategies so that teachers can communicate continuously.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.272-280
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• 2019

This descriptive research study investigated the relationships between different degrees of family support, ego-resilience and employment volition of patients suffering from alcohol use disorder, and we identified the factors that had an influence on employment volition. This study used the survey research technique and structured questionnaires. The data was collected from 128 males (aged 20 years or older) and who had been diagnosed with alcohol use disorder. They had also undergone either inpatient hospital care or outpatient treatment. The data was analyzed using descriptive statistics, one-way ANOVA, Pearson's correlation coefficient and multiple regression analysis. The results of the study showed that family support had a value of 4.30, an ego resilience had a value of 2.37 and the employment volition had a value of 4.06. The results of the multiple regression analysis showed that there was statistically significant positive correlation between employment volition and ego resilience (${\beta}=-.314$, p<.01) and age (${\beta}=-.253$, p<.01), and the total explanatory power of these 2 factors was 16.3%. According to the results of this study, age-based approaches are needed to improve the employment volition of patients with alcohol use disorder. Additionally, the results of this study suggest that an ego resilience enhancement program be developed and implemented to help these patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.819-825
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• 2020

This study explored the possibility of psychological testing as a way to proactively support underachieving students. Among the four-year college students that participated in our study, 43 students who participated in the academic warning support program for the second semester of 2019 and 30 students who had no academic warning experience used the data from the study personality type test. For data analysis, technical statistics, t-test, and correlation analysis were performed using jambi 1.1.9.0 to obtain the Pearson correlation. Studies have shown that the two classes of students differ in their learning behavior patterns. A student with a bachelor's degree warning scored high in the rest of the class, except for rebelliousness, perfection, mixed thoughts, hard work, satisfaction, single-mindedness and type satisfaction. This can be seen as a factor in the psychological conflict, such as the discrepancy between what one likes and what one studies, and lack of available support. It has been confirmed that psychology, emotional parts and economic support are needed as well as learning skills. In addition, this study is expected to provide basic data for proper preemptive support in schools, such as the prevention of dropouts and counseling programs.

• Tunnel and Underground Space
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• v.33 no.6
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• pp.574-593
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• 2023

In this study, the effectiveness and applicability of a newly designed Compact CNS shear box for conducting direct shear tests on jointed rock specimens were investigated. CNS joint shear tests were conducted on jointed rocks with Artificially generated roughness while varying the fracture surface roughness coefficient and initial normal stress conditions. In addition, displacement data were validated by Digital image correlation analysis, fracture patterns were observed, and comparative analysis was conducted with previously studied shear behavior prediction models. Furthermore, the accuracy of the displacement data was confirmed through DIC analysis, the fracture patterns were observed, and the shear properties obtained from the tests were compared with existing models that predict shear behavior. The findings exhibited a strong correlation with specific established empirical models for predicting shear behavior. Furthermore, the potential linkage between the characteristics of shear behavior and fracture patterns was deliberated. In conclusion, the CNS shear box was shown to be applicable and effective in providing data on the shear characteristics of the joint.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.3
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• pp.445-455
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• 2007

This study surveyed university students in the Seoul area regarding their awareness of family restaurants and visiting experiences. Frequency analysis was used to study the data. Most of the repliers (92.0%) had visiting experiences and visited on weekends (72.4%), paying \$10,000{\sim}15,000$ for meals. In correlation analysis of the general characteristics and reasons for visiting, there were significant differences according to gender (p<0.01) and major study area (p<0.005). During visits the factor considered most important relative to the surroundings was food styling. The factors valued most highly when selecting a family restaurant were "good taste" (43.5%) and "good discounts" (26.3%) respectively. The favorite family restaurant was Outback Steakhouse (34.7%), and 86.4% of repliers had used a membership card, with 46.9% being satisfied with using the membership card. The conditions for using a family restaurant and satisfaction differences in each category, included: the amount of food (p<0.1) for the number of visits, taste (p<0.01), food shape and styling (p<0.05), surroundings (p<0.1), and interior (p<0.05): and for the meal fee per person, price (p<0.05) and sanitation (p<0.05), all showing significant differences as reasons for using the restaurants. In the factor analysis of nine categories, three factors: service, food, and economics were acquired, and their Cronbach's ${\alpha}$ values were 0.778, 0.671, and 0.587. Satisfaction toward food and service had a positive correlation of 0.457. Satisfaction toward food and economics increased a family restaurant's overall satisfaction score, and satisfaction toward service did not have a significant influence.

• Journal of Hospice and Palliative Care
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• v.2 no.2
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• pp.125-137
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• 1999

Purpose : Surveying the rates, severity, and variables influencing depression and their correlation between pain and depression in Korean cancer patients, we attempted to provide a basic database for the effective depression management program. Methods : The results of survey were colleted from 10 patients who were hospitalized at Seoul National University Hospital for cancer treatment from February to June of 1999. Factors of depression and the level of pain were examined by self-reported survey employing Korean version of Beck Depression Inventory(BDI) and an abridged version of Brief pain Inventory respectively. The purpose of this study and guidelines for the questionnaires were clearly explained to participating patients by Resgitered Nurses before answering the survey. Demographic and clinical characteristics of patients were compiled by reviewing their medical records in corporation with a family physician. The difference in the level of depression among patient groups was analyzed with the t-test and ANOVA, and the correlation between variables with Pearson correlation coefficient. Results : 1) 142 subjects comprised 79 male and 63 female, and their mean age was 51.86. 2) The mean scores of the worst pain for last 24-hours was 6.08(SD 2.23), the average pain for last 24-hours 4.44(SD 1.85), and the mean scores of pain at the time of survey 3.48(SD 2.25), while the mean scores of the least pain for last 24-hours 2.25(SD 1.83). 3) The mean BDI scores were 23.73(SD 0.99), and 55.6% of patients were evaluated to be in depression(cutting point 21). Scores of depression for cancer patients were higher than normal population. 4) The correlation between worst pain for last 24-hours and depression(r=0.252, P=0.002), average pain for last 24-hours and depression(r=0.225, P=0.007), present pain and depression(r=0.291, P=0.000) were significant. 5) Significant differences were found among groups of cancer patients with pain with respect to gender(t=3.59, p=0.000), level of education(F=4.063, P=0.009), ECOG(F=3.352, P=0.021). There was significant positive correlation between depression and pain(r=0.171, P=0.042). Conclusions : More than 50% of cancer patients with pain are suffering from depression. We have shown that the variables like the degree of pain, gender, level of education, ECOG, and age are significantly related to the depression in cancer patients. The findings of this study may be used for assessing high-risk patients in need of intervention and for planning effective therapeutic strategies for them after the routine assessment. Further study is necessary to investigate the cultural differences and the variables influencing on depression in Korean cancer patients.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.256-266
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• 2022

Empirical models including the Angstrom-Prescott (AP) model have been used to estimate solar radiation at sites, which would support a wide use of crop models. The objective of this study was to estimate two sets of solar radiation estimates using the AP coefficients derived for climate zone (AP_Frere) and specific site (AP_Choi), respectively. The daily solar radiation was estimated at 18 sites in Korea where long-term measurements of solar radiation were available. In the present study, daily solar radiation and sunshine duration were collected for the period from 2012 to 2021. Daily weather data including maximum and minimum temperatures and rainfall were also obtained to prepare input data to a process-based crop model, CERES-Rice model included in Decision Support System for Agrotechnology Transfer (DSSAT). It was found that the daily estimates of solar radiation using the climate zone specific coefficient, SFrere, had significantly less error than those using site-specific coefficients S_Choi (p<0.05). The cumulative values of S_Frere for the period from march to September also had less error at 55% of study sites than those of S_Choi. Still, the use of S_Frere and S_Choi as inputs to the CERES-Rice model resulted in slight differences between the outcomes of crop growth simulations, which had no significant difference between these outputs. These results suggested that the AP coefficients for the temperate climate zone would be preferable for the estimation of solar radiation. This merits further evaluation studies to compare the AP model with other sophisticated approaches such as models based on satellite data.