Understanding the mechanisms of cancer drug resistance is a critical challenge in cancer therapy. For many cancer drugs, various resistance mechanisms have been identified such as target alteration, alternative signaling pathways, epithelial-mesenchymal transition, and epigenetic modulation. Resistance may arise via multiple mechanisms even for a single drug, making it necessary to investigate multiple independent models for comprehensive understanding and therapeutic application. In particular, we hypothesize that different resistance processes result in distinct gene expression changes. Here, we present a web-based database, CDRgator (Cancer Drug Resistance navigator) for comparative analysis of gene expression signatures of cancer drug resistance. Resistance signatures were extracted from two different types of datasets. First, resistance signatures were extracted from transcriptomic profiles of cancer cells or patient samples and their resistance-induced counterparts for >30 cancer drugs. Second, drug resistance group signatures were also extracted from two large-scale drug sensitivity datasets representing ~1,000 cancer cell lines. All the datasets are available for download, and are conveniently accessible based on drug class and cancer type, along with analytic features such as clustering analysis, multidimensional scaling, and pathway analysis. CDRgator allows meta-analysis of independent resistance models for more comprehensive understanding of drug-resistance mechanisms that is difficult to accomplish with individual datasets alone (database URL: http://cdrgator.ewha.ac.kr).
MARS-KS, a domestic regulatory confirmatory code of Republic of Korea, had been developed by integrating RELAP5/MOD2 and COBRA-TF. The integration of COBRA-TF allowed to extend the capability of MARS-KS, limited to one-dimensional analysis, to multi-dimensional analysis. The use of COBRA-TF was mainly focused on subchannel analyses for simulating multi-dimensional behavior within the reactor core. However, this feature has been remained as a legacy without ongoing maintenance. Meanwhile, MARS-KS also includes its own multidimensional component, namely MULTID, which is also feasible to simulate three-dimensional convection and diffusion. The MULTID is capable of modeling the turbulent diffusion using simple mixing length model. The implementation of the turbulent mixing is of importance for analyzing the reactor core where a disturbing cross-sectional structure of rod bundle makes the flow perturbation and corresponding mixing stronger. In addition, the presence of this turbulent behavior allows the secondary transports with net mass exchange between subchannels. However, a series of assessments performed in previous studies revealed that the turbulence model of the MULTID could not simulate the aforementioned effective mixing occurred in the subchannel-scale problems. This is obvious consequence since the physical models of the MULTID neglect the effect of mass transport and thereby, it cannot model the void drift effect and resulting phasic distribution within a bundle. Thus, in this study, the turbulence mixing model of the MULTID has been improved by means of the inter-channel mixing model, widely utilized in subchannel analysis, in order to extend the application of the MULTID to small-scale problems. A series of assessments has been performed against rod bundle experiments, namely GE 3X3 and PSBT, to evaluate the performance of the introduced mixing model. The assessment results revealed that the application of the inter-channel mixing model allowed to enhance the prediction of the MULTID in subchannel scale problems. In addition, it was indicated that the code could not predict appropriate phasic distribution in the rod bundle without the model. Considering that the proper prediction of the phasic distribution is important when considering pin-based and/or assembly-based expressions of the reactor core, the results of this study clearly indicate that the inter-channel mixing model is required for analyzing the rod bundle, appropriately.
This study was conducted to compare activities of daily living, fatigue and depression between rheumatoid arthritis patients and healthy persons. The subjects consisted of 53 rheumatoid arthritis patients and 53 healthy persons at a university hospital in Daegu City. Data were collected by means of structured interviews with questionnaires from July 20, 1999 to August 25, 1999. The instrument used in this study were the activities of daily living scale developed by Katz et al. (1970) and Barthel(1973), Multidimensional Assessment of Fatigue by Belza et al.(1995) and CES-D(Center for Epidemiologic Studies-Depression) scale. Analysis of data was done by use of descriptive statistics, Pearson Correlation, Chi-square test, t-test, ANOVA, MANCOVA and Duncan with the SPSS program. The major findings are summarized as follows : 1. The first hypothesis that the rheumatoid arthritis patients will have a lower degree of activities of daily living than the healthy persons was supported (F=4.584, p=.035). 2. The second hypothesis that the rheumatoid arthritis patient will have a higher degree of fatigue than the healthy persons was supported (F=7.799, p=.006). 3. The third hypothesis that the rheumatoid arthritis patients will have a higher degree of depression than the healthy persons was supported (F=4.768, p=.031). With the above results, it can be concluded that rheumatoid arthritis patients had a lower degree of activities of daily living and a higher degree of fatigue and depression than the healthy persons. Therefore, by providing appropriate nursing intervention, activities of daily living would be much better and fatigue and depression would be alleviated.
Purpose: Posttraumatic growth (PTG) is defined as 'positive psychological change experienced as a result of a struggle with highly challenging life circumstances'. The purpose of this study was to identify the level of PTG and its correlates in Korean patients with breast cancer. Methods: A sample of 120 participants was recruited from outpatients, who had successfully completed primary treatment of breast cancer at a university hospital., Data were collected from June to December, 2014 using Posttraumatic Growth Inventory, Illness Intrusiveness Rating Scale, Cancer Coping Questionnaire, Revised Life Orientation Test and The Multidimensional Scale of Perceived Social Support. Results: Total score for the PTG was $79.18{\pm}17.54$ in patients surviving breast cancer. Bivariate analyses indicated that PTG was positively associated with having a religion, perceived social support, greater optimism, cancer coping, and illness intrusiveness. Results of the regression analysis showed that cancer coping (${\beta}=.29$, p=.001), optimism (${\beta}=0.28$, p=.001) and illness intrusiveness (${\beta}=0.17$, p=.037) were statistically significant in patients' PTG. Conclusion: The research findings show that the variables of cancer coping, optimism and illness intrusiveness significantly explain PTG and these psychological variables can be used to provide improvement in PTG for patients with breast cancer.
The Journal of Korean Academic Society of Nursing Education
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v.23
no.4
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pp.378-388
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2017
Purpose: The aim of this study was to identify the status of performance on standard precautions among nursing students and to examine the mediating effects of internal health locus of control on the relationship between awareness and performance on standard precautions of hospital-acquired infection control. Methods: The participants in this study were 134 nursing students. The measurements included a standard precautions awareness and performance scale, and a multidimensional health locus of control scale. Data were analyzed using independent t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficient, and simple and multiple regression techniques. Mediation analysis was performed by the Baron and Kenny's method and Sobel test. Results: The mean score of standard awareness, standard performance, and internal health locus of control about standard precaution were $174.30{\pm}9.08$; $169.48{\pm}12.04$; and $20.43{\pm}2.82$; respectively. There was a positive correlation between standard awareness and performance (r=.414, p<.001). Also, standard awareness was significantly correlated with internal health locus of control (r=.413, p=.014). Internal health locus of control showed partial mediating effects in the relationship between awareness and performance. Conclusion: The results indicate a need to improve the internal health locus of control of nursing students. Therefore, an internal health locus of control improvement program should improve performance on standard precautions for patients and themselves.
Purpose: This study was conducted to examine the effects of uncertainty, social support, and sick role behavior on health-related quality of life in patients with peripheral arterial disease. Methods: This study is a descriptive research using self-reporting questionnaire. Data were collected from 167 patients with peripheral arterial disease. Measurement tools were Multidimensional Scale of Perceived Social Support(MSPSS), Mishel's Uncertainty in Illness Scale (MUIS), Sick role behavior measurement tools and SF-36 Version I. The data were analyzed using descriptive statistics, correlation, and regression analysis by using SPSS/WIN 24.0. Results: Factors that significantly influenced physical health-related quality of life were age (β=-.19, p=.010), monthly income (β=.17, p=.027), uncertainty (β=-.29, p<.001), and exercise and rest (β=.28, p<.001) that all together accounted for 32.6% of the variance. Factors that significantly influenced mental health-related quality of life were monthly income (β=.20, p=.015), drinking (β=.17, p=.040), uncertainty (β=-.24, p=.001), and exercise and rest in sick role behavior (β=.26, p=.003) that all together accounted for 18.2% of the variance. Social support was an insignificant factor on physical and mental health-related quality of life. Conclusion: To improve the health-related quality of life of people with peripheral arterial disease, it is necessary to develop a systematic nursing intervention program including a strong support system, education, strategies for alcohol abstinence, and exercise and rest therapy.
Jun-Yong, Choi;Byungmook, Lim;Hyeun-kyoo, Shin;Kibong, Kim
Journal of Society of Preventive Korean Medicine
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v.26
no.3
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pp.97-108
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2022
Objectives : The purpose of this study is to confirm the efficacy and safety of Gongjin-dan and Ssanghwatang for chronic fatigue. Methods : A total of 90 people, between 19 and 65 years old, will be recruited to participate in a randomized, double-blind, and placebo-controlled a clinical trial. Participants in the Gongjin-dan group will take one pill of Gongjin-dan along with three packs of placebo oral liquid Ssanghwa-tang per day for 4 weeks. Participants in the Ssanghwa-tang group will take three packages of liquid Ssanghwa-tang and one placebo Gongjindan pill per day for 4 weeks. In the placebo group, participants will take one pill of placebo Gongjin-dan and three packs of placebo liquid Ssanghwa-tang per day, for 4 weeks. Outcomes will be measured at the baseline, 4th week, and 6th week. The primary outcome is the change in the Fatigue Severity Scale (FSS). Secondary outcomes are the change of Multidimensional Fatigue Inventory-20 (MFI-20), Chalder Fatigue Scale (CFQ), Short-Form 36 Health Survey (SF-36), Korean Version of Schedule of Fatigue and Anergy/General Physician (SOFA/GP), Glucose, Lactate, Ammonia, Free Fatty Acid (FAA), d-ROMs&BAP, Selenium, and Cortisol. Results : This trial was approved by the institutional review board of Pusan National University Korean Medicine Hospital (registry number: PNUKHIRB 2021-10-005). Recruitment opened in November 2021 and is supposed to be completed by December 2022. Conclusions : This trial will provide clinical information to determine the efficacy and safety of Gongjindan and Ssanghwa-tang for chronic fatigue.
Chun Ki Hong;Kang Hye-Young;Kang Dae Ryong;Nam Chung Mo;Lee Gye-Cheol
Health Policy and Management
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v.15
no.4
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pp.46-64
/
2005
This study was conducted to verify the current criteria and classification system used to determine specialized general hospitals status. In this study, we proposed a new classification system which Is simpler and more convenient than the current one. In the new classification system clinical procedure was chosen as the unit of analysis in order to reflect all the resource consumption and the complexities and degree of medical technologies in determining specialized general hospitals. We developed a statistical model and applied this model to 117 general hospitals which claim their national insurance through electronic data interchange(EDI). Analysis based on 984 clinical procedures and medical facilities' characteristic variable discriminated specialized general hospital in present without misclassification. It means that we can determine specialized general hospital's permission In new way without using the current complicated criteria. This study discriminated specialized general hospital by the new proposed model based on clinical procedures provided by each hospital. For clustering the same types of medical facilities using 984 clinical procedures, we executed multidimensional scale analysis and divided 117 hospitals into 4 groups by two axises : a variety of procedure and the Proportion of high technology Procedure. Therefore, we divided 117 hospitals into 4 groups and one of them was considered as specialized general hospital. In discriminating analysis, we abstracted proportion of 16 clinical procedures which effect on discriminating the specialized general hospital in statistical system also we identify discriminating function which include these variables. As a result, we identify 2 discriminating functions, one is for current discriminating system and the other two is for new discriminating system of specialized general hospital.
The purpose of this study is to develop data base and interface for sofa consumers and sofa designers. The human sensibility ergonomics method was used to find the consumer needs and Quality Function Deployment (QFD) method was used to extract the designing characteristics required for sofa production. About 200 words and 100 images were gathered from sofa and furniture related catalogs and internet sites to find the best emotional words and images that can express the various sofa aspect. Among the collected words and images, 34 emotional words were selected for sensibility experiment according to the opinions of experts, relations of closeness and frequency of use, and 50 images were selected for the experiment by the diversity. Selected words and images were used for the semantic differential method with 94 subjects, and sensibility characteristics of sofas were defined through various statistical analysis methods including basic statistical analysis, factor analysis and multi-dimensional scale. In reflecting design characteristics of sofas, design factors of sofas were divided into backrest, seat, armrest, neck support and leg, and relative importance of each factor for design was determined with analytic hierarchy process (AHP) by utilizing the experts' opinions. Based on the results above, relationship analysis between emotional evaluation results and design factors was performed. Also, as various sofa images are presented diagrammatically through multidimensional scaling method, it can be used as an important tool for the development of sofa design. This study will contribute improving the product quality of sofas as it enables applying consumer needs into the sofa design.
The purpose of this study is to clarify the constructs of emotion suppression and help understanding on the multidimensional nature of emotion suppression by classifying constructs for suppression according to the KMW model. Also, this study examined the gender differences of emotion suppression. For this purpose, 657 adult male and female subjects were evaluated for attitude toward emotions, and difficulty in emotional regulation, as well as depression, state anger and daily stress scale. As a result of the exploratory factor analysis on the scales related to the emotion suppression factors, the emotion suppression factors corresponding to each stage of the KMW model were found to be 'distraction against emotional information, 'difficulty in understanding and interpretation of emotions', 'emotion control beliefs', 'vulnerability on emotional expression beliefs'. Next, the study participants were classified by performing a cluster analysis based on each emotion suppression factor. As a result, four clusters were extracted and named 'emotional control belief cluster', 'emotional expression cluster', 'emotional attention failure cluster', and 'general emotional suppression cluster'. As a result of examining the average difference of male depression, depression, state anger, and daily stress for each group, significant differences were found in all dependent variables. As a result of examining whether there is a difference in the frequency of emotional suppression clusters according to gender, the frequency of emotional suppression clusters was high in men, and the ratio of emotional expression clusters was high in women. Finally, it was analyzed whether there was a gender difference in the effect of the emotional suppression cluster on psychosocial adaptation, and the implications were discussed based on the results of this study.
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