• Journal of the Korean housing association
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• v.1 no.1
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• pp.113-128
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• 1990

This study was designed to identify the problems in teaching housing course at secondary level. The main tasks of Investigation were to: (1) identify appropriate housing concepts to be taught at secondary school, (2) determine the Kinds of media and methods used for teaching housing course at secondary school. The questionnaire was divided Into three sections: (1) the teacher`s background, (2) the teacher`s opinion regarding the importance of various housing topics to teaching. (3) what type of media and methods were used by teachers. Data were collected In Pusan during November 1959. The Sample, 150Home Economics teacher was randomly selected from secondary school list in Pusan. Responses from 122 Home Economics teachers, were processed by the S.P.S.S. computer program. and N.P.E.R.C using for frequency counts and percentages to analyze the data from all three sections of questionnaire. One-way Analysis of Variance and Newman-kuels Multiple Comparison test were used to reject or accept the hypotheses. The major findings were: (1) there were some difference between teachers` opinions regarding the importance of various housing topics to teach and teachers actural practice of teaching housing concepts and topics, (2) teachers taught housing concepts which were important to teach by their opinion, even though those concepts were neglected in textbook, (3) teachers did not use a various of media and methods for their teaching housing class, (4) the important reasons given why the teachers for not using the various media and methods were because of undesirable educational situations, and (5) there were some significant differences between teachers` background and teachers` opinion regarding importance of teaching topics in housing class at secondary school, using media and methods.

• International Journal of Knowledge Content Development & Technology
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• v.3 no.2
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• pp.67-94
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• 2013

This exploratory research explores the concept of a digital legacy as a general concept and as a collection of digital possessions with unique characteristics. The results reported in this article are part of a larger study. In Cushing (2013), the author identified the characteristics of a digital possession. In this study, these characteristics of a digital possession were utilized to explore how the characteristics of several digital possessions could form a collection, or a digital legacy. In addition to being explored as a collection of digital possessions, data was collected about the general concept of a digital legacy. In part I of the study, 23 participants from three age groups were interviewed about their general concept of a digital legacy. Five general characteristics describing a digital legacy were identified. In part II of the study, interview data from Cushing (2013) was used to create statements describing digital possessions. The statements were classified utilizing the archival concept of primary and secondary values, as well as the consumer behavior concepts of self extension to possessions and possession attachment. Primary value refers to the purpose for which the item was created, while secondary value refers to an additional value that the participants can perceive the item to hold, such as a perception that an item can represent one's identity. Using standard Q method procedure, 48 participants were directed to rank their agreement with 60 statements (written on cards), along a distribution of -5 to +5, according to the characteristics of the digital possession they would most like to maintain for a digital legacy. The ranked statements were analyzed using Q factor analysis, in order to perceive the most common statements associated with maintaining digital possessions for a digital legacy. Q method results suggested that most individuals described the digital possessions they wanted to maintain for a digital legacy using various combinations of characteristics associated with primary and secondary values. This suggests that while some participants will respond to personal archiving based on the concept of preserving identity (a perceived secondary value), this will not appeal to everyone. Information professional could consider this difference in appeal when marketing personal archiving assistance to patrons.

• BMB Reports
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• v.39 no.2
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• pp.178-182
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• 2006

Four strains of Acidithiobacillus ferrooxidans with different iron oxidation capacity were isolated from different mine drainage stations. The 16S rRNA gene of these strains were cloned and sequenced. Based on our sequences analysis on the four strain and the data on the other strains deposited in Genbank, all A. ferrooxidans may be classified into three phylogenetic groups. The analysis data showed that nucleotide variables (signature sites) were detected in 21 positions, and most of them were found in the first 800bp from 5' terminal except position 970 and 1375. Interestingly, the first 13 signature sites were located in two main regions:the first region (position 175-234) located in V2 while the second region (position 390-439) were detected in constant region between V2 and V3. Furthermore, the secondary structure and minimal free energy were determined in two regions among strains of three groups. These results may be useful in characterizing the microevolutionary mechanisms of species formation and monitoring in biohydrometallurgical application.

• Journal of Korean Society for Atmospheric Environment
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• v.8 no.3
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• pp.179-190
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• 1992

This study was carried out to characterize sources of atmospheric total suspended particulates (TSP) in urban and sub--urban areas of metropolitan taegu. The sources were tentatively identified by a multivariate technique, i.e. principal component analysis (PCA), and the source contributions to the atmospheric concentrations of TSP were further estimated by stepwise multiple regression analysis. A total of 5 sources was identified in the urban area of Taegu (soil dust resuspension, fuel combustion, secondary aerosol, traffic related aerosol, and refuge burning), while 4 sources were found to be significant in the sub--urban area as following: fuel combustion/secondary aerosol, soil dust resuspension, traffic related aerosol, and wood/agricultural burning. The largest contributor to the atmospheric TSP appeared to be the soil dust resuspension in both areas. The source apportionment of the extractable organic matter (EOM) was also carried out for the Taegu data. The EOM was determined with respect to the solvent polarity, i.e. cyclohexane (non-polar), dichloromethane (semi--polar), and acetone (polar). In addition, the source profiles for the TSP in Taegu area were estimated using a PCA-based algorithm, and the validity was evaluated tentatively by comparing the data in the literature.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.10
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• pp.825-831
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• 2017

Radar clutter in real environment is in general heterogeneous and especially nonstationary if radar geometry is of non-sidelooking monostatic structure or bistatic structure. These clutter properties lead to the insufficient number of secondary data of IID(Independent identically distributed) property, conclusively deteriorate clutter suppression performance. In this paper, we propose a clutter suppression algorithm that estimates the clutter signal belonging to cull under test via calculation using only prior information, rather than using the secondary data. Through analyzing the angle-Doppler spectrum of the clutter signal, we show the estimation of the clutter signal using prior information only is possible and present the derivation of a clutter suppression algorithm through eigen-value analysis. Finally, we show the performance of the proposed algorithm by simulation.

• Ecology and Resilient Infrastructure
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• v.4 no.1
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• pp.54-62
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• 2017

This study investigated compound open channel flow using OpenFOAM Large Eddy Simulation (LES). Large eddy simulations were carried out by solving the filtered continuity and momentum equations numerically. One equation LES and non-uniform grid were applied to capture the anisotropic turbulence and secondary flow near the wall. The results of large eddy simulations of turbulent flow in a compound open channel with deep and shallow flood plain depths are presented. These LESs are validated with experimental data, resulting in a good agreement between measured and calculated data. The role of anisotropic turbulence in generating secondary currents is illustrated.

• Journal of the Korean Magnetic Resonance Society
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• v.17 no.1
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• pp.59-66
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• 2013

BldD, a developmental transcription factor from Streptomyces coelicolor, is a homodimeric, DNA-binding protein with 167 amino acids in each subunit. Each monomer consists of two structurally distinct domains, the N-terminal domain (BldD-NTD) responsible for DNA-binding and dimerization and the C-terminal domain (BldD-CTD). In contrast to the BldD-NTD, of which crystal structure has been solved, the BldD-CTD has been characterized neither in structure nor in function. Thus, in terms of structural genomics, structural study of the BldD-CTD has been conducted in solution, and in the present work, mainchain NMR assignments of the recombinant BldD-CTD (residues 80-167 of BldD) could be achieved by a series of heteronuclear multidimensional NMR experiments on a [$^{13}C/^{15}N$]-enriched protein sample. Finally, the secondary structure prediction by CSI and TALOS+ analysis using the assigned chemical shifts data identified a ${\beta}-{\alpha}-{\alpha}-{\beta}-{\alpha}-{\alpha}-{\alpha}$ topology of the domain. The results will provide the most fundamental data for more detailed approach to the atomic structure of the BldD-CTD, which would be essential for entire understanding of the molecular function of BldD.

• Korean Journal of Adult Nursing
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• v.29 no.1
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• pp.32-40
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• 2017

Purpose: The purpose of this secondary data analysis was to identify factors influencing a relapse among patients with coronary artery disease (CAD). Methods: Of 250 participants enrolled in the original study 75 were selected as there was no relapse for more than one year following the initial treatment and 54 were selected because there was a relapse. Data were analyzed using ${\chi}^2$ test, t-test or F test to determine if there were any significant differences in the study variables relative to the status of relapse. Predictors were calculated by logistic regression. Results: Autonomy supported by healthcare providers was the significant predictor for relapse in patients with CAD. Patients with low autonomy supported by healthcare providers was 3.91 times more likely to relapse than patients with high autonomy supported. Patients with diabetes were at greater risk of recurrence. Conclusion: Secondary prevention of CAD is a major task for patients with CAD. Behavioral strategies for cardiovascular risk reduction are essential and autonomy supported by healthcare providers should be included in their strategies.

• Journal of Soil and Groundwater Environment
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• v.21 no.3
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• pp.21-34
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• 2016

In the present study, we applied various machine learning techniques comparatively for prediction of subsurface structures based on multiple secondary information (i.e., well-logging data). The machine learning techniques employed in this study are Naive Bayes classification (NB), artificial neural network (ANN), support vector machine (SVM) and logistic regression classification (LR). As an alternative model, conventional hidden Markov model (HMM) and modified hidden Markov model (mHMM) are used where additional information of transition probability between primary properties is incorporated in the predictions. In the comparisons, 16 boreholes consisted with four different materials are synthesized, which show directional non-stationarity in upward and downward directions. Futhermore, two types of the secondary information that is statistically related to each material are generated. From the comparative analysis with various case studies, the accuracies of the techniques become degenerated with inclusion of additive errors and small amount of the training data. For HMM predictions, the conventional HMM shows the similar accuracies with the models that does not relies on transition probability. However, the mHMM consistently shows the highest prediction accuracy among the test cases, which can be attributed to the consideration of geological nature in the training of the model.

• Journal of Korean Biological Nursing Science
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• v.21 no.4
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• pp.275-282
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• 2019

Purpose: This study aimed to identify the differences in blood pressure among adults in the community according to age and time of the blood pressure measurement. Methods: This was a secondary analysis study, using data from a 2015 community health survey, conducted by the Korea Centers for Disease Control and Prevention. The data of three-time-measured blood pressure were collected from 337 subjects, 25, 35, 45, 55, 65, 75 years old, which are median ages by each age group. Results: The primary systolic pressure was significantly higher than the secondary systolic pressure (t= 3.46, p= .001) and the tertiary systolic pressure (t= 4.83, p= .001). The secondary systolic pressure was higher than the tertiary measurement (t= 2.05, p= .041). There was no significant difference between the three-time-measured values for diastolic pressure. There was a significant interaction between measurement times and age in the systoic blood pressure readings (F= 1.95, p= .036). However, there was no significant interaction between measurement times and age in the diastolic blood pressure readings (F= 1.03, p= .418). Conclusion: The findings suggest that attention must be paid to the use of blood pressure values in studies or one-time-measured clinical blood pressure values. In particular, the differences in systolic pressure readings taken at different times in the older age groups were significant. Therefore, it is more important to carefully assess blood pressure in adults over the age of 45 compared to other age groups.