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강현진 ( Hyeon Jin Kang ),권순만 ( Soon Man Kwon ) 한국보건행정학회 2016 보건행정학회지 Vol.26 No.1
Background: Many studies have explained regional disparities in health by socioeconomic status and healthcare resources, focusing on differences between urban and rural area. However some cities in Korea have the highest cardiovascular mortality, even though they have sufficient healthcare resources. So this study aims to confirm three hypotheses. (1) There are also regional health disparities between cities not only between urban and rural area. (2) It has different regional risk factors affecting cardiovascular mortality whether it is urban or rural area. (3) Besides socioeconomic and healthcare resources factors, there are remnant factors that affect regional cardiovascular mortality such as health behavior and physical environment. Methods: The subject of this study is 227 local authorities (si, gun, and gu). They were categorized into city (gu and si consisting of urban area) and non-city (gun consisting of rural area), and the city group was subdivided into 3 parts to reflect relative different city status: city 1 (Seoul, Gyeonggi cities), city 2 (Gwangyeoksi cities), and city 3 (other cities). We compared their mortalities among four groups by using analysis of variance analysis. And we explored what had contributed to it in whole authorities, city and non-city group by using multiple regression analysis. Results: Cardiovascular mortality is highest in city 2 group, lowest in city 1 group and middle in non-city group. Socioeconomic status and current smoking significantly increase mortality regardless of group. Other than those things, in city, there are some factors associated with cardiovascular mortality: walking practice(-), weight control attempt(-), deficiency of sports facilities(+), and high rate of factory lot(+). In non city, there are other factors different from those of city: obesity prevalence(+), self-perceiving obesity(-), number of public health institutions(-), and road ratio(-). Conclusion: To reduce cardiovascular mortality and it’s regional disparities, we need to consider differentiated approach, respecting regional character and different risk factors. Also, it is crucial to strengthen local government’s capacity for practicing community health policy.
병원근로자의 감성지능이 감정노동전략 및 혁신활동에 미치는 영향에 관한 실증분석
강현진(Hyeon Jin Kang),전현규(Hyeon Gyu Jeon),김민용(Min-Yong Kim) 한국콘텐츠학회 2015 한국콘텐츠학회논문지 Vol.15 No.12
최근 감정노동은 감정노동전략의 핵심인 표면조절행위 및 심층조절행위와 관련하여 병원근로자들에게 있어 필수불가결한 상황이 되고 있다. 본 연구는 이러한 병원근로자들의 감성지능과 감정노동전략 간의 관계를 실증적으로 밝히기 위한 연구이다. 연구의 목적에 따라 본 연구에서는 병원근로자들을 대상으로 설문을 시행하고 이를 실증적으로 분석하였다. 데이터 분석으로는 PLS 구조방정식 분석법을 사용하였다. 연구결과, 병원근로자들의 감성지능 즉, 자기감정이해, 타인감정이해, 감정조절 및 감정활용은 병원근로자들의 심층조절행위에 유의한 긍정적인 영향을 미쳤고, 또한 병원근로자들의 심층조절행위는 조직애착, 지식공유의도 및 혁신활동에 유의한 긍정적 영향을 미치는 것으로 밝혀졌다. Recently emotional labor is an essential situation for hospital employees in relation to surface and deep acting as the core of emotional labor strategies. This study empirically examines the relation between hospital employees’ emotional intelligence and emotional labor strategies in the context of emotional labor. For empirical experiments, we conducted a questionnaire survey targeting hospital employees, and we employed the method of Partial Least Squares (PLS) for data analysis. Major findings are as follows. Hospital employees’ emotional intelligence including self emotion appraisal, others emotion appraisal, regulation of emotion, and use of emotion, have a significantly positive effect on hospital employees’ deep acting. And hospital employees’ deep acting has a significantly positive effect on hospital employees’ organizational attachment, knowledge sharing intentions, and innovative activities.
구연산 처리에 의한 고욤나무 잎 Myricitrin의 Myricetin으로 전환 최적화
강현진(Hyeon-Jin Kang),오현화(Hyeon Hwa Oh),송근섭(Geun-Seoup Song),장선일(Seon-Il Jang),김영수(Young-Soo Kim) 한국식품영양과학회 2021 한국식품영양과학회지 Vol.50 No.5
구연산 처리를 통하여 고욤나무 잎의 주요 생리활성 성분인 myricitrin을 myricetin으로 전환하기 위해 반응표면분석법을 이용하여 최적의 전환조건을 설정하였다. 고욤나무 잎의 60% 에탄올 추출물에 함유된 myricitrin 함량은 2,032.02mg/100 g DLP였으며, 유기산 반응(0.1 M, 90°C, 2시간)후 에탄올 추출물의 myricitrin 함량은 620.91~1,612.30mg/100 g DLP였고 myricetin 함량은 212.87~642.36mg/100 g DLP였다. 구연산 농도를 0.1 M 수준으로 처리하였을 때 myricitrin 함량은 30°C, 60°C, 90°C 모두 반응시간이 증가함에 따라 감소하는 경향을 나타내었고, 반응온도가 높을수록 myricitrin 함량이 많이 감소하는 경향을 보였다. 실험 계획법인 Box-Behnken design에 따라 구연산 농도(X₁), 반응온도(X₂) 및 반응시간(X₃)을 독립변수로 설정하였고, myricetin 함량을 측정하여 구연산 처리조건을 최적화하였다. 그 결과 myricetin 함량에 대한 모델의 P-value값은 0.0001 이하로 높은 유의수준을 보였으며, 회귀식의 R²은 0.95 이상의 높은 신뢰도를 보여 반응표면모델이 myricetin의 함량 변화를 설명하는 데 적합하였다. 구연산 처리조건에서 가장 큰 영향을 미치는 요인은 구연산 농도로 확인되었고 가장 낮은 영향을 미치는 요인은 반응온도로 확인되었다. 최적의 구연산 처리조건은 구연산 농도, 반응온도 및 반응시간이 각각 104.83 mM, 90.24°C 및 5.03시간으로 나타났고, 최적 구연산 처리조건에서 실제 myricetin 함량과 예측값을 비교하였을 때 유의적인 차이가 없는 것으로 나타났다. Citric acid treatment conditions for converting Diospyros lotus leaves to myricetin were optimized using the response surface methodology. The contents of myricitrin and myricetin in extracts of Diospyros lotus leaves were measured using high performance liquid chromatography (HPLC). From several organic acids screened, citric acid produced the highest content of myricetin, and was therefore selected for the conversion of myricitrin from Diospyros lotus leaf extracts. The treatment method of adding citric acid was optimized by the response surface methodology (RSM) using the Box-Behnken design (BBD) with three variables: molar concentration of citric acid (X₁: 50∼150 mM), reaction temperature (X₂: 85∼95°C) and reaction time (X₃: 3∼7 h). RSM analysis revealed that the content of myricitrin and myricetin was highly impacted by the citric acid concentration, whereas reaction temperature had the lowest effect. To verify accuracy of the prediction, the myricetin content was determined under optimal conditions, and the result obtained (1,224.99 mg/100 g DLP) was similar to those predicted. Based on these results, we propose the use of citric acid treatment to increase the yield of myricetin from Diospyros lotus leaves.
[음향 및 신호처리] DMP를 이용한 다중 표적 SCORE 알고리즘
김지현(Ji-Hyeon Kim),서영광(Young-Kwang Seo),권순영(Soon-Young Kwon),박진오(Jin-Oh Park),강현진(Hyun Jin Kang),김재윤(Jae Yun Kim),문병호(Byung Ho Mun),김형남(Hyoung-Nam Kim) 대한전자공학회 2019 전자공학회논문지 Vol.56 No.4
Self-coherence restoral (SCORE) 알고리즘은 동일 채널에서 다수의 혼신신호가 수신되는 환경에서 관심 신호의 입사각, 배열 안테나의 구조, 그리고 잡음의 통계적 특성에 대한 사전 정보가 없이도 신호의 cyclostationary 특성을 활용하여 하나의 관심신호를 추출하는 데 사용된다. SCORE 계열의 알고리즘 중에서 빔형성 벡터와 컨트롤 벡터를 모두 갱신하는 cross-SCORE 알고리즘이 least-squares (LS)-SCORE 알고리즘보다 뛰어난 성능을 보이며, 본 논문에서는 cross-SCORE 알고리즘을 기반으로 혼신신호를 분리하여 모두 획득하기 위한 다중 표적 (multi-target; MT)-SCORE 알고리즘을 제안한다. 제안된 MT-SCORE 알고리즘은 혼신신호를 분리하기 위해서 cross-SCORE를 병렬로 구성하고, dominant mode prediction (DMP) 알고리즘을 사용하여 초기 빔형성 벡터를 추정함으로써 각 SCORE의 빔형성 출력이 서로 다른 신호로 수렴하는 것을 보장하고 수렴 속도를 개선한다. 새로운 신호가 등장하는 혼신신호 환경에 대한 모의실험을 수행하여 신호의 입사 방향에 대한 초기 빔형성 벡터와 관심신호 방향에서의 빔형성 벡터 이득 변화를 통해 제안한 알고리즘이 기존의 cross-SCORE 알고리즘보다 간섭 제거 및 빠른 수렴성 측면에서 우수한 성능을 가짐을 보인다. A self-coherence restoral (SCORE) algorithm is used in extracting a signal of interest (SOI) by utilizing the cyclostationarity of the signal even in the absence of a prior information on the incidence angle, the structure of the array antenna, and the statistical properties of the noise when multi-interference signals arrive in one channel. In the SCORE algorithm, a cross-SCORE algorithm that updates both the beamforming vector and the control vector shows better performance than the least-squares (LS)-SCORE algorithm. In this paper, we propose a multi-target (MT)-SCORE algorithm to separate multiple co-channel signals based on the cross-SCORE algorithm. The proposed MT-SCORE algorithm constructs cross-SCORE in parallel to separate multi-interference signals. In addition, we guarantee the convergence of each SCORE output to different signals and improve the convergence speed by estimating the initial beamforming vector with the dominant mode prediction (DMP) algorithm. We simulate the co-channel interference environment in which a new signal appears at any instants. By using the initial beamforming vector in the signal direction of arrival and the weight vector gain change in the SOI’s incidence angle, the proposed algorithm has better performance of interference elimination and fast convergence than the conventional cross-SCORE algorithm.