• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.141-152
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• 2023

The scale of the authenticity perceived by the athletes of the domestic business team was developed. Through this, it is intended to accumulate information and authenticity research on human resource management of unemployment teams. The authenticity scale was developed through a total of 6 steps by referring to previous studies on the scale development process at domestic and international. In the first stage, the basic composition was confirmed through the review of previous studies.In the second stage, preliminary questions were drawn through in-depth interviews with 13 players belonging to the business team. In the third stage, the authenticity attribute and structure were confirmed through an expert meeting. In the fourth stage, the appropriateness of the items was verified through exploratory factor analysis and reliability analysis of 248 people. In the 5th stage, 288 subjects were tested for construct validity, convergent validity, and discriminant validity through confirmatory factor analysis, correlation analysis, and reliability analysis. The sixth step was to verify the relationship through regression analysis with the performance variables to examine the applicability and predictability of the developed scale. Through the above procedures, 4 dimensions of organizational authenticity and 18 measurement items were developed, and 3 dimensions of leader authenticity and 18 measurement items were developed.

• Journal of the Korean Society of Food Science and Nutrition
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• v.37 no.4
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• pp.416-421
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• 2008

This study was performed to determine the antimutagenic and anticytotoxic effects of soybean paste (doenjang) added deep sea water salt and see tangle in Salmonella Typhimurium TA98, TA100 and human cancer cell lines. In the Ames test, methanol extract of doenjang did not exhibit any mutagenicity but showed substantial inhibitory effects against mutation induced by N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) and 4-nitroquinoline-1-oxide (4NQO). The methanol extracts of doenjang ($200{\mu}g$/plate) added deep sea salt and see tangle (doenjang C) showed approximately 89.1% and 70% inhibitory effect on the mutagenesis induced by MNNG and 4NQO against TA100 strain, whereas 84.4% inhibitions were observed on the mutagenesis induced by 4NQO against TA98 strain. The cytotoxic effects of doenjang methanol extracts against the cell lines with human cervical adenocarcinoma (HeLa), human hepatocellular carcinoma (Hep3B), human gastric carcinoma (AGS), human lung carcinoma (A549) and human breast adenocarcinoma (MCF-7) were inhibited with the increase of the extract concentration. The treatment of 1.0 mg/mL doenjang C of methanol extracts showed strong cytotoxicities of 71%, 74.4%, 66.2%, 77.3%, and 71.2% against HeLa, Hep3B, AGS, A549, and MCF-7, respectively. In contrast 1 mg/mL treatment of doenjang C methanol extracts had only $10{\sim}40%$ cytotoxicity on normal human embryonal kidney cell (293). Doenjang methanol extract inhibited significantly the tumor growth in mice injected sarcoma-180 cells. Especially, doenjang C methanol extract showed an inhibition of tumor cell activity of 33% by the administration of 25 mg/kg methanol extracts.

• Korean Journal of Remote Sensing
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• v.36 no.3
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• pp.487-501
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• 2020

As a viable option for retrieval of LST (Land Surface Temperature), this paper presents a DNN (Deep Neural Network) based approach using 148 Landsat 8 images for South Korea. Because the brightness temperature and emissivity for the band 10 (approx. 11-㎛ wavelength) of Landsat 8 are derived by combining physics-based equations and empirical coefficients, they include uncertainties according to regional conditions such as meteorology, climate, topography, and vegetation. To overcome this, we used several land surface variables such as NDVI (Normalized Difference Vegetation Index), land cover types, topographic factors (elevation, slope, aspect, and ruggedness) as well as the T₀ calculated from the brightness temperature and emissivity. We optimized four seasonal DNN models using the input variables and in-situ observations from ASOS (Automated Synoptic Observing System) to retrieve the LST, which is an advanced approach when compared with the existing method of the bias correction using a linear equation. The validation statistics from the 1,728 matchups during 2013-2019 showed a good performance of the CC=0.910~0.917 and RMSE=3.245~3.365℃, especially for spring and fall. Also, our DNN models produced a stable LST for all types of land cover. A future work using big data from Landsat 5/7/8 with additional land surface variables will be necessary for a more reliable retrieval of LST for high-resolution satellite images.

• School Mathematics
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• v.15 no.1
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• pp.101-120
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• 2013

International comparative studies of students' performance in mathematics have shown that Korean students possess very negative attitudes toward mathematics, while they are ranked as one of the highest in the cognitive achievement of mathematics. This has prompted mathematics educators to seek for a way to improve the quality of mathematics education. In this context, this research has been conducted to investigate the learning style of Korean middle school students under the assumption that it is of essence to understand the characteristics of our students as mathematics learners. For the purpose, in-depth interview had been conducted and sixteen middle students participated in the interview. The students were chosen to represent the average group of their age-cohorts based on their performance in mathematics and their SES. The interview was designed as a semi-structured clinical interview. In the interview, the students were given mathematical tasks dealing with central themes in the domain of function. Each student was given about 30 to 50 minutes to solve the tasks. After an interviewee finished the tasks, s/he was asked to explained how s/he solved the tasks. The researchers asked additional questions to clarify the students' understanding of the mathematical themes in the tasks and to identify their strategies for learning mathematics. The analysis of the in-depth interview has primarily identified the characteristics of the students' understanding of the main themes in function and then has been extended to investigate their characteristic styles for learning mathematics. The analysis of the interview identified the learning styles of the students as 'inductive learning based on prototypical cases', 'repeated practice of exemplar mathematics problems', 'disengaged learning', and 'double standards in learning mathematics'. Based on the results of the analysis, this research presents the implications for the improvement of mathematics education.

• Journal of Korean Society of Environmental Engineers
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• v.38 no.9
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• pp.504-512
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• 2016

In this study, we investigated the environmental impact of organic and conventional paddy by monitoring soil properties and water quality. We sampled and analyzed topsoil (0~15 cm), subsoil (15~30 cm), and water of organic and conventional paddy fields in Yongin and Anseong, South Korea. The statistical significance between groups was determined by Duncan's multiple range test. The results show that T-P concentrations in both topsoil and subsoil of Anseong paddy were higher than those of Yongin paddy. The significant difference of T-P between organic and conventional paddy was observed in Anseong but not in Yongin. T-N of organic paddy soil was lower than that of conventional paddy in both Anseong and Yongin region. Water content for subsoil of organic paddy in Anseong was significantly different from others, which is consistent with the results of silt-clay content. pH and EC of water in conventional paddy were higher than those in organic paddy. In Anseong, COD, T-P, and $PO_4-P$ concentration of conventional paddy were higher than those of organic paddy. The regression analysis presented that there were no significant relationship between soil properties and water quality data except T-N.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.259-266
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• 2021

This study is a study to systematize the R&D activities of social enterprises to derive a logical model of the R&D support policy, and aims to systematize the R&D activities based on the R&D demand survey and R&D activity analysis of social enterprises. R&D activities of social enterprises are at an early stage or are not systematic compared to general enterprises, so the process modeling method is used to group detailed activity elements to standardize and systemize them. As a result of the research, social enterprises are aware of the necessity and importance of R&D activities to secure competitiveness of products and services to increase social value, and because of their lack of R&D experience and capabilities, R&D specialized institutes (R&D planning institutes, government-funded research institutes), Universities, etc.) and are expected to improve R&D capabilities. The performance indicators of social enterprise R&D activities are derived in units of input-process-performance indicators through demand survey, activity analysis, and in-depth interview (FGI), and the logical model of R&D support policy is in the areas related to business strategy and performance.

• Explosives and Blasting
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• v.41 no.3
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• pp.26-37
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• 2023

In order to determine the amount of explosives that can minimize the vibration generated during tunnel construction using the blasting method, it is necessary to derive the blasting vibration coefficients, K and n, by analyzing the vibration records of trial blasting in the field or under similar conditions. In this study, we aimed to develop a technique that can derive reasonable K and n when trial blasting cannot be performed. To this end, we collected full-scale trial blast data and studied how to predict the blast vibration coefficient (K, n) according to the type of explosive, center cut blasting method, rock origin and type, and rock grade using deep learning (DL). In addition, the correction value between full-scale and borehole trial blasting results was calculated to compensate for the limitations of the borehole trial blasting results and to carry out a design that aligns more closely with reality. In this study, when comparing the available explosive amount according to the borehole trial blasting result equation, the predictions from deep learning (DL) exceed 50%, and the result with the correction value is similar to other blast vibration estimation equations or about 20% more, enabling more economical design.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.385-397
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• 2020

This study examined the reproductive health-related experiences of North Korean women defectors and their sexual knowledge, sexual attitudes, and reproductive health promotion behavior. Convergent parallel mixed methods were used. From April to July 2020, 8 North Korean women defectors in Seoul metropolitan area were recruited by snowball sampling. In addition, 175 participants in the Seoul metropolitan area, Chungcheong, and Gyeongsang Province were recruited. Content analysis was conducted to analyze qualitative data, and the SPSS 23.0 program was used. Three themes were derived: scared of sex due to ignorance', 'the embarrassing and annoying sex only for duty', and had to manage myself for sex under the limited situation.'. The subject's sexual knowledge was higher in the older and married groups, and the sexual attitude was more liberal in the younger group. Reproductive health promotion behavior was more active in the high economic level, and sexual knowledge and sexual attitude showed a positive correlation. Therefore, it is necessary to provide support systems and resources from the community to encourage reproductive health promotion activities. In addition, in terms of humanitarian aid, prioritization of the reproductive health of North Korean women is required.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.16 no.4
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• pp.491-505
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• 2018

As an alternative to deep geological disposal technology, which is considered as a reference concept, the domestic applicability of deep borehole disposal technology for high level radioactive waste, including spent fuel, has been preliminarily evaluated. Usually, the environment of deep borehole disposal, at a depth of 3 to 5 km, has more stable geological and geo-hydrological conditions. For this purpose, the characteristics of rock distribution in the domestic area were analyzed and drilling and investigation technologies for deep boreholes with large diameter were evaluated. Based on the results of these analyses, design criteria and requirements for the deep borehole disposal system were reviewed, and preliminary reference concept for a deep borehole disposal system, including disposal container and sealing system meeting the criteria and requirements, was developed. Subsequently, various performance assessments, including thermal stability analysis of the system and simulation of the disposal process, were performed in a 3D graphic disposal environment. With these analysis results, the preliminary evaluation of the domestic applicability of the deep borehole disposal system was performed from various points of view. In summary, due to disposal depth and simplicity, the deep borehole disposal system should bring many safety and economic benefits. However, to reduce uncertainty and to obtain the assent of the regulatory authority, an in-situ demonstration of this technology should be carried out. The current results can be used as input to establish a national high-level radioactive waste management policy. In addition, they may be provided as basic information necessary for stakeholders interested in deep borehole disposal technology.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2004.05a
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• pp.285-289
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• 2004

Oceanographic observation and qualitative analysis for deep ocean water in the East Sea were carried out from January 2003 to January 2004, in order to understand the characteristics of deep sea water in the East Sea. Temporal and spatial variation of water masses were discussed from survey of the study area including the coastal sea of Kwangwon province in where the polar front mixing cold and warm water masses were formed. On the basis of the vertical profiles of temperature, salinity and dissolved oxygen, water masses in the study area were divided into 5 major groups; (1) Low Saline Surface Water (LSSW) (2) Tsushima Surface water (TSW) (3) Tsushima Middle Water (TMW) (4) North Korea Cold Water (NKCW) and (5) East Sea Proper Water (ESPW). In winter, surface water in coastal sea of Kwangwaan Kosung region were dominated by North Korean Cold Water (NKCW). As Tsushima warm current were enforced in summer, various water masses were vertically emerged in study area, in order of TSW, TMW, NKCW and ESPW. It is highly possible that the LSSW which occurred at surface water of september is originated from influx of fresh water due to the seasonal rainy spell. Nevertheless water masses existed within surface water were seasonally varied, water quality characteristics of East Sea Proper Water (ESPW) under 300 m did not changed all the seasons of the year.