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      • KCI등재

        한국인 직무 스트레스 측정도구의 개발 및 표준화

        장세진,고상백,강동묵,김성아,강명근,이철갑,정진주,조정진,손미아,채창호,김정원,김정일,김형수,노상철,박재범,우종민,김수영,김정연,하미나,박정선,이경용,김형렬,공정옥,김인아,김정수,박준호,현숙정,손동국 大韓産業醫學會 2005 대한직업환경의학회지 Vol.17 No.4

        Background and Purposes: Over the past three decades, numerous studies performed in Korea have reported that job stress is a determinant risk factor for chronic diseases and work disability. Every society has its own culture and occupational climate particular to their organizations, and hence experiences different occupational stress. An occupational stress measurement tool therefore needs to be developed to estimate it objectively. The purpose of this study is to develop and standardize the Korean Occupational Stress Scale (KOSS) which is considered to be unique and specific occupational stressors in Korean employees. Subjects and Methods: Data were obtained from the National Study for Development and Standardization of Occupational Stress (NSDSOS Project: 2002-2004). A total of 12,631 employees from a nationwide sample proportional to the Korean Standard Industrial Classification and the Korean Standard Occupational Classification were administered. The KOSS was developed for 2 years (2002-2004). In the first year, we collected 255 items from the most popular job stress measurement tools such as JCQ, ERI, NIOSH and OSI, and 44 items derived from the a qualitative study (depth interview). Forty-three items of KOSS, in the second year, were retained for use in the final version of the KOSS by using Delphi and factor analysis. Items were scored using conventional 1-2-3-4 Likert scores for the response categories. Results: We developed eight subscales by using factor analysis and validation process: physical environment (3 items), job demand (8 items), insufficient job control (5 items), interpersonal conflict (4 items), job insecurity (6 items), organizational system (7 items), lack of reward (6 items), and occupational climate (4 items). Together they explained 50.0% of total variance. Internal consistency alpha scores were ranged from 0.51 to 0.82. Twenty-four items of the short form of the KOSS (KOSS-SF) were also developed to estimate job stress in the work setting. Because the levels of the subscales of occupational stress were gender dependent, gender-specific standard norms for both the 43-item full version and the 24-item short form using a quartile for the subscales of KOSS were presented. Conclusion: The results of this study suggest that KOSS might be an appropriate measurement scale to estimate occupational stress of Korean employees. Further and more detailed study needs to be conducted to improve the validity of this scale.

      • KCI등재

        Time-dependent proteomic and genomic alterations in Toll-like receptor-4-activated human chondrocytes: increased expression of lamin A/C and annexins

        Ha, Seung Hee,Kim, Hyoung Kyu,Nguyen, Thi Tuyet Anh,Kim, Nari,Ko, Kyung Soo,Rhee, Byoung Doo,Han, Jin The Korean Society of Pharmacology 2017 The Korean Journal of Physiology & Pharmacology Vol.21 No.5

        Activation of Toll-like receptor-4 (TLR-4) in articular chondrocytes increases the catabolic compartment and leads to matrix degradation during the development of osteoarthritis. In this study, we determined the proteomic and genomic alterations in human chondrocytes during lipopolysaccharide (LPS)-induced inflammation to elucidate the underlying mechanisms and consequences of TLR-4 activation. Human chondrocytes were cultured with LPS for 12, 24, and 36 h to induce TLR-4 activation. The TLR-4-induced inflammatory response was confirmed by real-time PCR analysis of increased interleukin-1 beta ($IL-1{\beta}$), interleukin-6 (IL-6), and tumor necrosis factor alpha ($TNF-{\alpha}$) expression levels. In TLR-4-activated chondrocytes, proteomic changes were determined by two-dimensional electrophoresis and matrix-assisted laser desorption/ionization-mass spectroscopy analysis, and genomic changes were determined by microarray and gene ontology analyses. Proteomics analysis identified 26 proteins with significantly altered expression levels; these proteins were related to the cytoskeleton and oxidative stress responses. Gene ontology analysis indicated that LPS treatment altered specific functional pathways including 'chemotaxis', 'hematopoietic organ development', 'positive regulation of cell proliferation', and 'regulation of cytokine biosynthetic process'. Nine of the 26 identified proteins displayed the same increased expression patterns in both proteomics and genomics analyses. Western blot analysis confirmed the LPS-induced increases in expression levels of lamin A/C and annexins 4/5/6. In conclusion, this study identified the time-dependent genomic, proteomic, and functional pathway alterations that occur in chondrocytes during LPS-induced TLR-4 activation. These results provide valuable new insights into the underlying mechanisms that control the development and progression of osteoarthritis.

      • KCI우수등재

        신규주택 분양신청에 대한 게임 이론적 분석

        이하형 ( Rhee,Ha - Hyoung ) 한국행정학회 1993 韓國行政學報 Vol.27 No.3

        주택문제 및 주택정책에 관한 기존의 접근방법은 공급위주의 시장경제학적 접근과 규범적 접근으로 대별될 수 있다. 본 논문은 주택문제에 대한 새로운 접근으로서 신정치경제아론인 게임이론을 적응하여 분석한 것이다. 본 논문에서는 주택문제 중 신규주택 분양신청문제에 연구의 범위를 한정하였다. 본 논문에서는 신규주택 분양진창을 게임이론적으로 분석하기 위해 기존주택과 분양주택 사이에 차액이 존재하며, 채권입찰제 하에서 당첨에 필요한 최저의 채권액을 씀으로서 차액을 극대화하려는 신청자들의 동기적 합리성과 신청자들의 상호의존적 선택을 전제하였다. 또한 신규주택 분양신청에 영향을 주는 다른 요인들은 일정하다고 전제하였다. 분석 결과 채권상한액이 적응 안되는 채권입찰제 하에서의 신규주택 분양신청에서는 채권액이 시세차액과 동일해지는 수준까지 계속 상승하여 분양신청이 과열되는 것으로 분석되었다. 채권상한액이 적응되는 채권입찰제 하에서의 신규주택분양신청에서는 다양한 유형의 게임들이 혼재하며, 게임이 동시에 연속적으로 이루어지는 포개어진 게임 (nested game) 의 양상도 나타내는 것으로 분석되었다. 또한 채권상한제 하에서의 분양신청 게임은 채권상한액, 분양물량수, 총신청자수 및 채권상한액을 쓰는 다른 신청자의 수 등에 의해 결정되며, 특정 목표의 달성을 위한 정책수단은 다른 정책변수의 변화를 초래하는 것으로 분석되었다.

      • KCI등재

        셀리언시가 높은 물체가 게임 난이도에 미치는 영향

        이지형(Rhee, Chi-Hyoung),이찬근(Lee, Chan-Gun),이창하(Lee, Chang-Ha) 한국게임학회 2010 한국게임학회 논문지 Vol.10 No.1

        슈팅 게임이나 플랫폼 게임과 같은 액션 게임에서는 플레이어 캐릭터가 적 캐릭터와 충돌하면 플레이어 캐릭터가 죽거나 에너지가 감소하게 되므로 적 캐릭터를 회피하는 요소가 중요하다. 본 논문에서는 적 캐릭터를 회피하는 요소가 중요한 게임에서 셀리언시(saliency)가 높은 물체가 있을 경우 게임의 난이도에 어떠한 영향을 미치는가에 대하여 고찰하였다. 플레이어는 셀리언시가 높은 물체의 움직임을 주목하게 되므로 이로 인해 셀리언시가 낮은 다른 많은 물체들의 움직임을 간과할 수 있다. 그 결과로 물체의 회피에 실패할 확률이 높아질 것이다. 본 연구에서는 셀리언시가 높은 물체의 존재여부가 게임 난이도에 미치는 영향을 검증하기 위해 사용자 실험을 수행하였으며, 셀리언시가 높은 물체가 없는 게임을 수행한 그룹이 셀리언시가 높은 물체가 있는 게임을 수행한 그룹보다 더 높은 점수를 획득하는 결과를 얻었다. 본 연구는 인간의 지각적인 측면에서 게임의 난이도에 영향을 끼칠 수 있는 요소를 살펴보고 이를 실험을 통해 검증하였고 이는 게임 제작 및 기획 단계에서 난이도 예측에 도움이 되는 요소가 될 수 있을 것이다. In action games such as shooting games or platform games, dodging enemy objects is crucial since the player character dies or loses energy when it collides with any enemy object. In this paper, we investigates how the difficulty of these games changes according to the existence of salient objects. Since salient objects attract the player's attention, other non-salient objects may be unattended by the player, resulting in failing to dodge them. We experimented on the influence of salient objects on the difficulty of a game, and found out that the subjects who played the game without salient objects performed better than the subjects who played the game with salient objects. This paper investigates a human perceptual issue that could affect the game difficulty and suggest a potential guideline for game design and planning.

      • SCOPUSKCI등재

        Short-term Evaluation of a Comprehensive Education Program Including Inhaler Training and Disease Management on Chronic Obstructive Pulmonary Disease

        ( Kwang Ha Yoo ),( Wou Young Chung ),( Joo Hun Park ),( Sung Chul Hwang ),( Tae-eun Kim ),( Min Jung Oh ),( Dae Ryong Kang ),( Chin Kook Rhee ),( Hyoung Kyu Yoon ),( Tae-hyung Kim ),( Deog Kyeom Kim ) 대한결핵 및 호흡기학회 2017 Tuberculosis and Respiratory Diseases Vol.80 No.4

        Background: Proper education regarding inhaler usage and optimal management of chronic obstructive pulmonary disease (COPD) is essential for effectively treating patients with COPD. This study was conducted to evaluate the effects of a comprehensive education program including inhaler training and COPD management. Methods: We enlisted 127 patients with COPD on an outpatient basis at 43 private clinics in Korea. The patients were educated on inhaler usage and disease management for three visits across 2 weeks. Physicians and patients were administered a COPD assessment test (CAT) and questionnaires about the correct usage of inhalers and management of COPD before commencement of this program and after their third visit. Results: The outcomes of 127 COPD patients were analyzed. CAT scores (19.6±12.5 vs. 15.1±12.3) improved significantly after this program (p<0.05). Patients with improved CAT scores of 4 points or more had a better understanding of COPD management and the correct technique for using inhalers than those who did not have improved CAT scores (p<0.05). Conclusion: A comprehensive education program including inhaler training and COPD management at a primary care setting improved CAT scores and led to patientsc better understanding of COPD management.

      • Prediction Model for Chronic Obstructive Pulmonary Disease Exacerbation, Based on Big Data Analysis and Machine Learning

        ( Chin Kook Rhee ),( Yong Suk Jo ),( Hyoung Kyu Yoon ),( Kwang Ha Yoo ),( Ki-suck Jung ) 대한결핵 및 호흡기학회 2020 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.128 No.0

        Background There has been little study regarding the prediction of AE by integrating individual and external factors. We aimed to develop prediction model of COPD AE with big data by machine learning Methods. Methods We collected data, including smoking status, lung function, and COPD assessment test scores, from 594 COPD patients in the Korean COPD subgroup study (KOCOSS), and merged these data with patients’ Korean Health Insurance Review and Assessment Service data. We also collected various data including weather information, air pollution level, and respiratory virus activity. A prediction model of AE was built by GEE (Generalized Estimating Equation). To develop better model, various statistical and machine learning Methods were utilized. Logistic regression with LASSO (Least Absolute Shrinkage and Selection Operator) was added in statistical analysis. Deep neural network (DNN), random forest, XGBoost (eXtreme Gradient Boosting), LightGBM, and MERF (Mixed Effect Random Forest) were utilized in machine learning. Results Area under the curve (AUC) value for prediction of AE was highest by random forest Method (0.8722) followed by GEE (0.8617) and DNN (0.8493). Sensitivity was highest by random forest (0.8613) followed by DNN (0.8000) and GEE (0.7613). In GEE analysis, female, CAT score, FEV1 (%), number of exacerbations in previous one year, use of bronchodilator, use of inhaled corticosteroid (ICS), influenza activity, and human coronavirus activity were significantly associated with AE. Prediction power was much improved by the Synthetic Minority Over-sampling Technique resampling & new machine learning Methods (Table 1). Conclusions Prediction model for COPD AE was developed with big data by machine learning Methods. Prediction power was higher in model by machine learning Method compared with GEE. This research was funded by Korea Centers for Disease Control and Prevention (2016ER670102 and 2018ER670100) and Korean Health Industry Development Institute (HI18C0522).

      • SCOPUSKCI등재

        Short-term Evaluation of a Comprehensive Education Program Including Inhaler Training and Disease Management on Chronic Obstructive Pulmonary Disease

        Yoo, Kwang Ha,Chung, Wou Young,Park, Joo Hun,Hwang, Sung Chul,Kim, Tae-Eun,Oh, Min Jung,Kang, Dae Ryong,Rhee, Chin Kook,Yoon, Hyoung Kyu,Kim, Tae-Hyung,Kim, Deog Kyeom,Park, Yong Bum,Kim, Sang-Ha,Yum, The Korean Academy of Tuberculosis and Respiratory 2017 Tuberculosis and Respiratory Diseases Vol.80 No.4

        Background: Proper education regarding inhaler usage and optimal management of chronic obstructive pulmonary disease (COPD) is essential for effectively treating patients with COPD. This study was conducted to evaluate the effects of a comprehensive education program including inhaler training and COPD management. Methods: We enlisted 127 patients with COPD on an outpatient basis at 43 private clinics in Korea. The patients were educated on inhaler usage and disease management for three visits across 2 weeks. Physicians and patients were administered a COPD assessment test (CAT) and questionnaires about the correct usage of inhalers and management of COPD before commencement of this program and after their third visit. Results: The outcomes of 127 COPD patients were analyzed. CAT scores ($19.6{\pm}12.5$ vs. $15.1{\pm}12.3$) improved significantly after this program (p<0.05). Patients with improved CAT scores of 4 points or more had a better understanding of COPD management and the correct technique for using inhalers than those who did not have improved CAT scores (p<0.05). Conclusion: A comprehensive education program including inhaler training and COPD management at a primary care setting improved CAT scores and led to patients' better understanding of COPD management.

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