• Journal of agriculture & life science
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• v.50 no.2
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• pp.117-124
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• 2016

This study was estimated the effect of environmental factors and each of them on auction price of Hanwoo calves. The auction prices of Hanwoo calves(19,592head) registered pedigree were sampled in Gyeongsangnam-do from 2014 to 2015. The environmental factors were highly(p<0.01) affect to the auction price of Hanwoo calves. With the analysis of contribute factor used the semi-partial correlation, the value of regression equation(Adj R-Square) was 0.701. The semi-partial correlation values of sex, auction body weight, auction age, auction year, auction season, and auction area were 0.11563, 0.20013, 0.02823, 0.10727, 0.00330 and 0.02963, respectively. And the highest contribution factor was body weight, and then, followed sex, auction year, auction area and auction age. In conclusion, it could be suggested that Hanwoo calf farmer should improve calf body weight to increase auction price by not only breeding, but also optimal management. Additionally, it is expecting in the future that competitiveness and income of farmers will be affected deeply by the holding and producing of predominant genes which is coincidence with breeding principles. However, further study should be conducted for the better understand caused by the limit of previous studies which was estimated the correlations of auction price and each factors.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.448-448
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• 2021

최근 급격한 기후변화와 도시화 및 산업화로 인한 지류하천에서의 수량과 수질의 변동은 생물 다양성 감소와 수생태계 건강성 저하에 큰 영향을 미치고 있다. 효율적인 수생태 관리를 위해서는 지속적인 유량, 수질, 그리고 수생태 모니터링을 통한 데이터 축적과 더불어 면밀한 상관 분석을 통해 수생태계 건강성의 악화 원인을 규명해야 할 필요가 있다. 그러나 수많은 지류하천을 대상으로 한 지속적인 모니터링은 현실적으로 어려움이 있으며, 수생태계의 특성 상 단일 영향 인자만으로 수생태계의 건강성 변화와의 관계를 정확히 파악하는데 한계가 있다. 따라서 지류하천에서의 유량 및 수질의 시공간적인 변동성과 다양한 영향 인자를 고려하여 수생태계의 건강성을 효율적으로 예측할 수 있는 기술이 필요하다. 이에 본 연구에서는 경험적 데이터 기반의 머신러닝 모델 구축을 통해 미계측 하천에서의 수생태계 건강성 지수(BMI, TDI, FAI)의 등급(A to E)을 예측하고자 하였다. 머신러닝 모델은 학습 데이터셋의 양과 질에 따라 성능이 크게 달라질 수 있으며, 학습 데이터셋의 분포가 불균형적일 경우 과적합 또는 과소적합 문제가 발생할 수 있다. 이를 보완하고자 본 연구에서는 실제 측정망 데이터셋을 바탕으로 생성적 적대 신경망 GAN(Generative Adversarial Network) 알고리즘을 통해 머신러닝 모델 학습에 필요한 추가 데이터셋(유량, 수질, 기상, 수생태 등급)을 확보하였다. 머신러닝 모델의 성능은 5차 교차검증 과정을 통해 평가하였으며, GAN 데이터셋의 정확도는 실제 측정망 데이터셋의 정규분포와의 비교 분석을 통해 평가하였다. 최종적으로 SWAT(Soil and Water Assessment Tool) 모형을 통해 예측 된 미계측 하천에서의 데이터셋을 머신러닝 모델의 검증 자료로 사용하여 수생태계 건강성 등급 예측 정확도를 평가하였다. 본 연구에서의 GAN에 의해 강화된 머신러닝 모델은 수질 및 수생태 관리가 필요한 우심 지류하천 선정과 구조적/비구조적 최적관리기법에 따른 수생태계 건강성 개선 효과를 평가하는데 활용될 수 있을 것이다. 또한 이를 통해 예측된 미계측 하천에서의 수생태계 건강성 등급 자료는 수량-수질-수생태를 유기적으로 연계한 통합 물관리 정책을 수립하는데 기초자료로 활용될 수 있을 것이라 사료된다.

• Industry Promotion Research
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• v.8 no.3
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• pp.181-199
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• 2023

E-commerce is gradually upgrading from traditional text and image formats to short video and livestreaming formats. Livestreaming e-commerce enriches the content and forms of information dissemination and product display, enhances the consumer's shopping experience, and gradually becomes the mainstream new consumer scene. However, there are many negative phenomena in the development of livestreaming e-commerce, such as false propaganda, counterfeit goods, and various negative events, which seriously affect the level of consumer trust in livestreaming e-commerce. Trust is the core competitive factor of livestreaming e-commerce. Based on previous research on trust theory and combined with the characteristic elements of "people, goods, and scenes" of livestreaming e-commerce, this article constructs a trust model for livestreaming e-commerce, proposes hypotheses, and proves through empirical research that factors such as store characteristics, livestream host characteristics, brand image, product information, platform reputation, livestreaming situation, and trust tendency have a significant positive impact on consumer trust. Based on the research conclusions, this article provides insights and management suggestions, such as emphasizing the construction of store characteristic indicators, creating desirable livestream host characteristics, focusing on product brand building and selection, maintaining the display of product information, selecting suitable livestreaming platforms, and creating rich content for livestreaming situations.

• Korean Journal of Animal Reproduction
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• v.18 no.4
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• pp.265-274
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• 1995

가토 20마리의 혈액중 혈소판의 수를 수정 전후로 조사한 결과, 수정전과 비교하여 수정후 1일부터 유의하게 감소하였으며 (26.84%, P<0.01), 이러한 감소는 수정후 5일까지 계속되었다. 수정후 5일동안 혈소판의 감소율과 혈소판의 최저치를 수정란의 수와 비교한 바, 이들간의 유의한 상관관계(r=0.5032)가 있었다. 가토수정란 (2세포기) 각각 30∼40개를 5마리의 비장적출수란가토의 난관에 이식한 다음, 혈소판수의 변화를 조사한 결과, 이식전에 비해 이식후 90분 (P<0.025)과 135∼270분 (P<0.025)에 유의한 감소를 확인하였따. 특히 수정란 이식후 180분경에 가장 크게 감소하였다 (P<0.001). 60∼70개의 2세포기 가토수정란을 24시간 배양한 다음, 배양액을 3마리의 비장적출가토에 주사한 후 혈소판의 변화를 조사하였을 때, 주사후 120분경부터 혈소판의 수가 유의하게 감소하기 시작하였다. 이들 배양액을 동결, 해동한 다음 주사한 실험에서도 유사한 결가를 얻었다. 또한 이 배양액을 비장적출생쥐에 주사한 경우에도 가토에서와 마찬가지의 혈소판 촉진현상이 나타났다. 혈소판 촉진인자(PAF)의 길항제인 kadsurenone이 첨가된 배양액에서 24시간동안 가토수정란을 배양한 다음, 이 배양액을 4마리의 비장적출생쥐에 주사한 결과, 혈소판수의 변화가 일어나지 않았다. 또한 kadsurenone이 첨가된 배양액에서는 2세포기 가토수정란의 상실기와 배반포기까지 발달율은 각각 4와 7%로 대조구의 7과 49%보다 유의하게 낮았다. 따라서 본 연구에서 가토의 초기배는 가토나 생쥐의 혈소판수를 감소시키고, 특히 길항제 처리는 이러한 혈소판 감소현상을 억제시킬 뿐만 아니라 가토 초기배발달을 억제한다는 것을 확인하였다. 결론적으로 가토초기배에서는 PAF 또는 수정란 유래의 PAF가 분비된다는 것을 알 수 있었으며, 이러한 인자는 동결처리에서도 그 기능은 전혀 변하지 않는다고 본다. 이후에 있어서 mouse LIF의 첨가는 돼지의 수정란을 배반포 이후의 단계에까지 발달시킬 수 있었다. 있어서 더 적합한 것으로 판단되었다. 5. 개발된 모형은 논 관개의 물리적 측면과 관리목표 모두를 고려한 것으로 계산된 효율은 벼, 생육 각 단계에서의 효율 비교에 양호한 방법임을 알 수 있다.은 Sharpsburg 점질양토에 대한 S.C.S 한계허용치 10ton/ha/year 이내로 나타났다. 비처리구에서의 토양유실량은 평균 2.56ton/ha/year로 높게 나타난 반면 3개의 서로 다른 추리구인 비수구, 초생수로구 및 Bromegrass구에서는 각각 0.152, 0.192 및 0.290ton/ha/year로 낮은 결과를 가져왔다. 6. 평균 침전량에 대한 L.S.D. 검정 걸과 전시험구중 비처리구가 고도의 유의차를 나타낸 반면 비수구, 초생수로구 및 Bromegrass 목초구 간에는 아무런 유의차가 인정되지 않았다. 7. 농지보전 처리구인 배수구와 초생수로구는 비처리구에 비해 낮은 침두 유출량과 낮은 토양유실량을 나타내었다.구보다 14% 절감되는 것으로 나타났다.작용하는 것으로 사료된다.된다.정량 분석한 결과이다. 시편의 조성은 33.6 at% U, 66.4 at% O의 결과를 얻었다. 산화물 핵연료의 표면 관찰 및 정량 분석 시험시 시편 표면을 전도성 물질로 증착시키지 않고, Silver Paint 에 시편을 접착하는 방법으로도 만족한 시험 결과를 얻을 수 있었다.째, 회복기 중에 일어나는 입자들의 유입은 자기폭풍의 지속시간을 연장시키는 경향을 보이며 큰 자기폭풍일수록 현저했다. 주상에서 관측된 이러한 특성은 서브스톰 확장기 활동이 자기폭풍의 발달과 밀접한 관계가 있음을 시사한다.se that were all low in two aspects, named "the Nonsignificant group". And the issues were high risk perception in general

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5B
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• pp.525-533
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• 2008

Global circulation models (GCMs) have been used to study impact of climate change on water resources for hydrologic models as inputs. Recently, regional circulation models (RCMs) have been used widely for climate change study, but the RCMs have been rarely used in the climate change impacts on water resources in Korea. Therefore, this study is intended to use a set of climate scenarios derived by RegCM3 RCM ($27km{\times}27km$), which is operated by Korea Meteorological Administration. To begin with, the RCM precipitation data surrounding major rainfall stations are extracted to assess validation of the scenarios in terms of reproducing low frequency behavior. A comprehensive comparison between observation and precipitation scenario is performed through statistical analysis, wavelet transform analysis and EOF analysis. Overall analysis confirmed that the precipitation data driven by RegCM3 shows capabilities in simulating hydrological low frequency behavior and reproducing spatio-temporal patterns. However, it is found that spatio-temporal patterns are slightly biased and amplitudes (variances) from the RCMs precipitation tend to be lower than the observations. Therefore, a bias correction scheme to correct the systematic bias needs to be considered in case the RCMs are applied to water resources assessment under climate change.

• 재활복지
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• v.16 no.3
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• pp.165-192
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• 2012

This study aims to develop a valid self-report scale for the community integration of persons with psychiatric disabilities. To this end, conducted were in-depth interviews with individuals with psychiatric disabilities, consultation with experts, and a survey. First, literature review and the in-depth interview with individuals with psychiatric disabilities were collected questionnaires regarding the community integration of persons with psychiatric disabilities. Second, preliminary research 1 focused on the selection and modification of the items collected in the first research. Final 44 items were selected by the verification of the importance and content-validity of items under the advices of professionals. Lastly, preliminaty research 2 applied cross-validation method to the data from 524 cases in order to verify the factor structure and concept-validity of the items. The result of exploratory factor analysis shows that 5 factor structures are the most appropriate, and the confirmatory factor analysis suggests that the Self-reporting Scale of Community Integration for the person with psychiatric disabilities consists of 27 questionnaires which compose 5sub-concepts such as'psychological integration','physical integration', 'social support', 'social integration', 'independence/self-actualization'. Moreover, this scale was significantly related to the 'Life Satisfaction scale for the person with psychiatric disabilities'. This proved concurrent validity of the scale.

• 한국노년학
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• v.31 no.2
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• pp.381-400
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• 2011

The purpose of this study is to develop the scale on Selection, Optimization, Compensation(SOC) model as successful aging strategies of Korean Elderly. In first phase of the study, 64 pilot items were collected from researcher's indepth interviews with a purposive sample group of 24 elderly people(16 items) and original SOC scale(48 items). To analyze the factor structure and to verify the validity of the scale, 592 questionnaires collected from survey were divided randomly into 300 developmental samples and 292 validity samples. The items were examined exploratory with developmental samples and confirmatory factor analysis with developmental samples. Two factor analysis supported four factor structure of the SOC consisted of 20 items. Four factors are as follows: 'Elective Selection', 'Loss-Based Selection', 'Opimization', 'Compensation'. The cronbach's alpha estimate of the scale was .930. This scale of four factor model exhibited good fit, assessed by overall fit measure criteria(TLI=.939, CFI=.947, RMSEA=.058). The result of analysis by item response theory for SOC scale is satisfatory. Also, SOC scale was significantly related to the two successful aging scales for Korean elderly and life satisfation scale(SWLS). These results proved the validity of the scale.

• Asia Marketing Journal
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• v.6 no.2
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• pp.23-54
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• 2004

This study investigates the relationship between the antecedents of Trust on Internet Shopping Mall and its effects on attitude, relationship involvement, or purchase intention on the basis of previous researches. 263 undergraduate students were used into data analysis. The date was analyzed by factor analysis, correlation analysis and Structural Equation Model(SEM) using SPSS and AMOS programs. As the results, the three antecedents of trust excepting company size had the positive effects on trust. Also, trust on Internet Shopping Mall had positive direct effects on attitude and relationship involvement. But, the direct effects of trust on buying intention were rejected. Trust on Internet Shopping Mall was intensified by the positive attitude and relationship involvement and leads to the buying intention. The results of this study provide the e-marketing strategy on Internet Shopping Mall focusing on trust, attitude, relationship involvement, and buying intention.

• Korean Journal of Culture and Social Issue
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• v.22 no.2
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• pp.263-283
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• 2016

The present study aimed at examining the factor structure, reliability and validity of the Korean version of the Continuing Bonds Scale (K-CBS). In study 1, exploratory factor analysis was administered to 293 bereaved adults who had experienced the death of a loved one, and it revealed a single factor structure with 10 items that explained 52.59% of the total variance. The K-CBS showed good internal consistency with Cronbach's alpha of .92. In study 2, confirmatory factor analysis in a different sample of 200 bereaved adults indicated satisfactory standardized regression weights of all items. However, one item had a squared multiple correlation less than .40, hence, this item was discarded, and 9 items remained for the final scale. The single factor model with 9 items displayed a good fit. The K-CBS had strong positive correlation with grief symptoms, and weak positive correlation with depression. After controlling for grief, however, the K-CBS was predictive of a decrease in depression. The K-CBS was positively associated with posttraumatic growth. In addition, significant differences in scores of the K-CBS were shown among groups based on the deceased's relation to the bereaved and expectedness of loss. These results suggest that the K-CBS is a reliable and valid instrument to measure continuing bonds. Finally, implications, limitations, and directions for future research were discussed.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.727-737
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• 2022

This study was conducted to identify the factors Influencing the burnout of general hospital nurses. Method: The study subjects were 150 nurses in three general hospital. The collected data were analyzed by t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, and Multiple regression analysis. Results: The factors affecting the burnout of the subjects, multiple regression analysis results showed that emotional intelligence(β=-.441, p<.001), emotional labor(β=.403, p<.001), current position was more than responsible nurse(β=-.111, p<.018), and health status was healthy(β=-.100, p<.029). In addition, the F statistics for the fitness of the estimated regression model were 35.51(p<.001), which was very significant. The explanatory power was 79.7%. Conclusion: The results of this study showed that emotional intelligence of the general hospital nurse was the most influential factor on burnout, and the higher the position, the better the health status, the lower the emotional labor, the lower the burnout. Therefore, the results of this study suggest that it is necessary to find ways to reduce emotional labor and improve health and emotional intelligence in order to reduce burnout of nurses, and it is considered to be useful as basic data for developing intervention programs to lower burnout.