Journal of agricultural medicine and community health
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v.16
no.2
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pp.97-119
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1991
Korea has made a rapid economic development since the last three decades. This has helped Korea narrow the gap in health service differences in resource availability and in quality of care. However urban and rural differentials are still remarkable. This study has maintained that health status of rural residents is inferior to that of urban dwellers. Therefore, this study was carried out to develop policy measures for improving health services in rural areas. In order to achieve the objective of this study the authors collaborated closely and made field visits, interviews and conducted an extensive literature review regarding rural health services. The following policy options are recommended as a summary ; First, the quality of rural health personnel is a single most important factor influencing the level of rural health services. An innovative program for public health doctors to the internship and/or residency training program such as specialty board program of family medicine. Second, dissatisfaction regarding employment of public health doctors is problematic. More rational employment and deployment programs are needed to meet their personal desire. One way to do this is to make it wide open and competitive. Third this study shows how to increase physician productivity in the rural public health sector. Incentive system needs to be elaborated for the career development of rural health workers. University linked job opportunity as clinical professor is an example. Fourth, without straightening the function of health centers and subcenters, the future of rural health services is doomed to failure. Straightening primary health care is one way to enrich the program of public health facilities and reactivating the operation of health center/hospital is another. A close linkage of public facilities with private hospitals is a minimum requirement for the operation of health delivery system within a health district. Fifth, some measures are urgently required to enhance hospital services in medically underserved areas. Financial subsidy, tax exemption, long-term public loans and higher priority of health manpower deployment are some of them. Sixth, new health programs should be in tiated to meet changing needs of peoples in rural areas. Home health care program, hospice program, nursing home, residential program for the elderly are recommended.
Purpose: We aimed to establish an inflammatory prognostic index (IPI) in early and advanced non-small cell lung cancer (NSCLC) patients based on hematologic and biochemical parameters and to analyze its predictive value for NSCLC survival. Materials and Methods: A retrospective review of 685 patients with early and advanced NSCLC diagnosed between 2009 and 2014 was conducted with collection of clinical, and laboratory data. The IPI was calculated as C-reactive protein ${\times}$ NLR (neutrophil/ lymphocyte ratio)/serum albumin. Univariate and multivariate analyses were performed to assess the prognostic value of relevant factors. Results: The optimal cut-off value of IPI for overall survival (OS) stratification was determined to be 15. Totals of 334 (48.8%) and 351 (51.2%) patients were assigned to high and low IPI groups, respectively. Compared with low IPI, high IPI was associated with older age, greater tumor size, high lymph node involvement, distant metastases, advanced stage and poor performance status. Median OS was worse in the high IPI group (low vs high, 8.0 vs 34.0 months; HR, 3.5; p<0.001). Progression free survival values of the patients who had high vs low IPI were determined 6 months (95% CI:5.3-6.6) and 14 months (95% CI:12.1-15.8), respectively (HR; 2.4, P<0.001). On multivariate analysis, stage, performance status, lactate dehydrogenase and IPI were independent prognostic factors for OS. Subgroup analysis showed IPI was generally a significant prognostic factor in all clinical variables. Conclusion: The described IPI may be an inexpensive, easily accessible and independent prognostic index for NSCLC patients, useful for clinical practice.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.5
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pp.203-220
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2020
The purpose of this study is to examine the importance of entrepreneurs' well-being, and to propose several ways to improve it. First, the factors influencing entrepreneurs' well-being were explored via previous literature review, and positive psychological capital based on positive psychology was selected as the main factor. In addition, the hypotheses were formulated and the research model was constructed by selecting authentic leadership, mastery goal orientation, and social support as the antecedents predictably associated with positive psychological capital. To empirically analyze the proposed model, a questionnaire survey was conducted for the entrepreneurs who fulfilled the training/coaching/consulting programs offered by the Youth Startup Academy. By using the collected 133 responses, PLS-Structural Equation Analysis, PLS-Multi Group Analysis(MGA), and PLS-Importance-Performance Map Analysis(IPMA) were performed. As a result, it was found that positive psychological capital had a high causal relationship with the well-being of entrepreneurs; and authentic leadership and mastery goal orientation had a positive effect on positive psychological capital. However, the statistical significance of the impact of social support has not been verified. While differences in causality between early and growing stages of start-ups only acted as sub-factors of positive psychological capital, the aforementioned three antecedents showed a significant difference for hope and optimism, respectively. This study expanded the topic of entrepreneurship-related research, which mostly focuses on identifying the performance factors of start-ups. It is meaningful in that it empirically verified the causality model constructed by exploring the factors with respect to the mental well-being of entrepreneurs, which is a main theme in the entrepreneurship-related research. These results found in the current study will render practical insights to entrepreneurs, researchers, and educators.
Shahraki, Hadi Raeisi;Pourahmad, Saeedeh;Paydar, Shahram;Azad, Mohsen
Asian Pacific Journal of Cancer Prevention
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v.17
no.4
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pp.1861-1864
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2016
Although early diagnosis of thyroid nodule type is very important, the diagnostic accuracy of standard tests is a challenging issue. We here aimed to find an optimal combination of factors to improve diagnostic accuracy for distinguishing malignant from benign thyroid nodules before surgery. In a prospective study from 2008 to 2012, 345 patients referred for thyroidectomy were enrolled. The sample size was split into a training set and testing set as a ratio of 7:3. The former was used for estimation and variable selection and obtaining a linear combination of factors. We utilized smoothly clipped absolute deviation (SCAD) logistic regression to achieve the sparse optimal combination of factors. To evaluate the performance of the estimated model in the testing set, a receiver operating characteristic (ROC) curve was utilized. The mean age of the examined patients (66 male and 279 female) was $40.9{\pm}13.4years$ (range 15- 90 years). Some 54.8% of the patients (24.3% male and 75.7% female) had benign and 45.2% (14% male and 86% female) malignant thyroid nodules. In addition to maximum diameters of nodules and lobes, their volumes were considered as related factors for malignancy prediction (a total of 16 factors). However, the SCAD method estimated the coefficients of 8 factors to be zero and eliminated them from the model. Hence a sparse model which combined the effects of 8 factors to distinguish malignant from benign thyroid nodules was generated. An optimal cut off point of the ROC curve for our estimated model was obtained (p=0.44) and the area under the curve (AUC) was equal to 77% (95% CI: 68%-85%). Sensitivity, specificity, positive predictive value and negative predictive values for this model were 70%, 72%, 71% and 76%, respectively. An increase of 10 percent and a greater accuracy rate in early diagnosis of thyroid nodule type by statistical methods (SCAD and ANN methods) compared with the results of FNA testing revealed that the statistical modeling methods are helpful in disease diagnosis. In addition, the factor ranking offered by these methods is valuable in the clinical context.
KIM Gil-Young;KIM Dae-Choul;PARK Soo-Chul;YOO Dong-Geun;CHOI Jin-Hyuk;KIM Jeong-Chang
Korean Journal of Fisheries and Aquatic Sciences
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v.29
no.5
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pp.663-676
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1996
Physical properties and textural parameters of thirty-five piston tore samples recovered from the southeastern coast of Korea (Korea Strait), were investigated using the autopycnometer. The physical properties (porosity, water content, wet bulk density, dry bulk density, gram density, and void ratio) were measured at rather uniform intervals along each core. Sediment texture (grain size, sand, silt, and clay contents) was also measured at the same subbottom depth. The measured and calculated results are; mean grain size $0.57\~8.09\phi(average:3.67\phi)$, porosity $26\~81\%\;(average:\;55\%)$, water content $16.7\~61.4\%(average:\;31.6\%)$, wet bulk density $1.37\~2.18g/cm^3\;(average:\;1.85g/cm^3)$, dry bulk density $2.55\~3.11g/cm^3\;(average:\;2.35g/cm^3)$, grain density $2.40\~3.10g/cm^3\;(average:\;2.85g/cm^3)$, and void ratio $0.56\~2.54$ (average: 0.94). The sediment texture generally coincides well with the bathymetry indicating the influence of Pleistocene-Holocene sea level changes. Also the contours of physical properties are closely related to the sediment texture. Fluctuation of physical properties are similar to the textural variation. It seems that sediment texture is a significant factor in determining physical property in this study area.
It is a very important time to check how SW curriculum is actually organized and what is inadequate to practical requirements of SW manpower in the present situation where there is a difference of viewpoints between software field and SW curriculum of university. In overseas cases, efforts have already been made to cultivate SW manpower based on SW training centered on practical requirements. As a result, there is a positive response to the recruitment of actual related companies. In Korea, these attempts have been attempted under government initiative. In particular, based on the SW-centered university project, it has given the role of a leading university in related fields. However, with regard to the labor supply problem in the SW sector, the requirements of the business enterprises still differ from the educational curriculum. In this study, we tried to diagnose the method that can reduce the difference between the composition and the practice of the contents according to the existing limit that the environment factor of the viewpoint of the working companies about the curriculum composition is not clearly reflected. As a result, the topic modeling based on the university's curriculum and lecture plan data is used to derive keywords for curriculum and lecture plan. Through the data analysis, this study confirmed that the practice rate of related university departments utilized in data analysis is relatively low. In addition, we found that it is important to establish a systematic curriculum and to build a lecture plan to cultivate practical skills, as the number of overlapping textbooks and the number of keyword overlapping are found.
Prediction problems are widely used in medical domains. For example, computer aided diagnosis or prognosis is a key component in a CDSS (Clinical Decision Support System). SVMs with nonlinear kernels like RBF kernels, have shown superior accuracy in prediction problems. However, they are not preferred by physicians for medical prediction problems because nonlinear SVMs are difficult to visualize, thus it is hard to provide intuitive interpretation of prediction results to physicians. Nomogram was proposed to visualize SVM classification models. However, it cannot visualize nonlinear SVM models. Localized Radial Basis Function (LRBF) was proposed which shows comparable accuracy as the RBF kernel while the LRBF kernel is easier to interpret since it can be linearly decomposed. This paper presents a new tool named VRIFA, which integrates the nomogram and LRBF kernel to provide users with an interactive visualization of nonlinear SVM models, VRIFA visualizes the internal structure of nonlinear SVM models showing the effect of each feature, the magnitude of the effect, and the change at the prediction output. VRIFA also performs nomogram-based feature selection while training a model in order to remove noise or redundant features and improve the prediction accuracy. The area under the ROC curve (AUC) can be used to evaluate the prediction result when the data set is highly imbalanced. The tool can be used by biomedical researchers for computer-aided diagnosis and risk factor analysis for diseases.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.3
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pp.522-528
/
2020
The purpose of this study is to improve the reemployment rate of unemployed job seekers aged 50 to 59 by supporting the foundation of our society and enhancing their value of life. We analyzed the impact of resilience, a psychological factor, on job seeking of unemployed people in their fifties. Subjects were visited and provided employment services in the Employment Welfare Plus Center in the Seoul Metropolitan Area. We devised a questionnaire consisting of three variables of general characteristics, resilience, and job search. Also, the resilience variables comprised sub-variables of control, positiveness, and sociality, and the job search variables involved sub-variables of job preparation, attitude, and willness. Study results the resilience of unemployed persons aged 50 to 59 is above average, and sub-variables of positiveness are highest compared to other sub-variables. Second, there is no significant gender difference in resilience for job search activities. Third, resilience and its sub-variables, such as control and affirmation, affect job-seeking activities. Therefore, this study suggests strengthening the resilience of job seekers in their fifties as well as providing psychological counseling and job training for job-seeking activities.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.9
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pp.321-330
/
2020
In this study, we analyzed the factors influencing internal marketing at hospitals on job satisfaction and customer orientation among nurses in order to provide basic data necessary for management of nursing personnel. From December 26, 2018 to January 4, 2019, the study surveyed 255 nurses at a general hospital in Gyeonggi Province. For data analysis, frequency analysis, factor analysis, correlation, and linear regression analysis were performed using the SPSS 21.0 program. First, the results of this study show that the effect of marketing inside the hospital on job satisfaction was statistically significant. Second, marketing inside hospitals was found to have a statistically significant effect on customer orientation. Thirdly, it was found that the effect of job satisfaction on customer orientation was statistically significant. Fourth, the effect of job satisfaction parameters on the relationship between marketing and customer orientation within the hospital 1st and 2nd stages appeared to have a statistically significant positive (+) impact, and three steps were found to be independent variables. The regression coefficients for organizational vision and future image, organizational attributes and systems, communication, and education/training system by sub-factors of internal marketing at hospitals significantly appeared.
It is well known that the maximum amplitude of accommodation decreases with increasing age.(Presbyopia). With single vision lenses presbyopia can be corrected only for one viewing distance. With progressive power lenses presbyopia can be corrected for all viewing distances. But there are some other changes in the visual system with age which can not be corrected by spectacle lenses. Pupillary diameter decreases and the light transmission of the ocular media decreases. Therefore old people need more light, they need better illumination. Cone density in the retina decreases, this is only one example for changes in the sensory system. These changes in the visual system cause changes in visual functions. At the age of 80 visual acuity has decreased to half. Contrast sensitivity for gratings decreases mainly for high spatial frequencies very important is the increase of stray light in the ocular media and therefore the increase of glare. Veiling luminance increases by a multiple of approximately 4, Dark adaptation gets slower and light sensitivity is approximately 2 log units (factor 100) less when the eye is completely dark adapted. Also colour vision gets worse, especially at low luminances. Elderly people have problems with visual tasks which require divided attention between foveal and peripheral vision. An example is the measurement of the useful field of view. This useful field of view be expanded (improved) by visual training.
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