• Title/Summary/Keyword: Linear deviation

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Health Inequalities among the Elderly : Mediation Effect of Social Participation Between Educational Level Inequalities and Self-rated Health·Depression (노인의 건강불평등 : 교육불평등에 따른 건강불평등에 대한 사회참여의 매개효과)

  • Kim, Dongbae;Yoo, Byungsun;Lee, Jeongeun
    • Korean Journal of Social Welfare Studies
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    • v.43 no.1
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    • pp.117-142
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    • 2012
  • This research attempts to explain the influence of educational level inequalities on self-rated health and depression of the elderly. Also, we are focusing whether there is a mediating effect of social support between educational level inequalities and self-rated health depression of the elderly. The data was collected from July, 30 to August, 15, 2009. 631 persons who live in Gangnam-Gu area over 60 years of age were recruited. Frequency, percentage, mean, standard deviation and multiple regression were employed using SPSS 12.0. The result of this study shows that educational level inequalities have a influence on the self-rated health and depression. It is also verified that social participation variable has a partial mediating effect between educational level inequalities and mental health(self-rated health and depression). This study carried out a positive linear relationship between educational level and health: the higher education, the better the health. And also, the results present the importance of developing adequate intervention programs for the elderly having low educational level to improve social participation and to enhance mental health(self-rated health and depression).

The Relative Effectiveness of Various Radiation Sources on the Resistivity Change in n-Type Silicon

  • Jung, Wun
    • Nuclear Engineering and Technology
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    • v.1 no.2
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    • pp.91-101
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    • 1969
  • Resistivity changes of n-type float-zone silicon crystals with 6.4$\times$10$^{14}$ to 1.25$\times$10$^{17}$ phosphorus atoms/㎤ due to irradiation by (1) 1 MeV electrons, (2) two types of research reactors, and (3) $Co^{60}$ ${\gamma}$-ray sources were investigated. The results were analyzed on the basis of a simple exponential formula derived by Buehler. While the formula gave a fair fit in the low fluence range in most cases, the deviation was quite appreciable in the case of 1 MeV electron irradiation, and a linear change gave better fit in some cases. The large change in the carrier removal rate in electron-irradiated samples in the high fluence range was analyzed in detail in terms of the Fermi level cross-over of the defect levels. Based on the damage constants evaluated from the initial portion of data where the formula was applicable, the relative effectiveness of various radiation sources in causing the resistivity change in n-type silicon was compared. The TRIGA Mark II reactor neutrons, for example, were found to be about 40 times more effective than 1 MeV electrons. The dependence of the damage constant on the initial carrier concentration was also examined. The physical basis of the exponential law and the effect of the Fermi level cross-over of the defect levels on the resistivity change in the high fluence ranges are discussed.

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Optimal Reservoir Operation Using Goal Programming for Flood Season (Goal Programming을 이용한 홍수기 저수지 최적 운영)

  • Kim, Hye-Jin;Ahn, Jae-Hwang;Choi, Chang-Won;Yi, Jae-Eung
    • Journal of the Korean Society of Hazard Mitigation
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    • v.11 no.2
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    • pp.147-156
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    • 2011
  • The purpose of multipurpose reservoir operation in flood season is to reduce the peak flood at a control point by utilizing flood control storage or to minimize flood damage by controlling release and release time. Therefore, the most important thing in reservoir operation for flood season is to determine the optimal release and release time. In this study, goal programming is used for the optimal reservoir operation in flood season. The goal programming minimizes a sum of deviation from the target value using linear programming or nonlinear programming to obtain the optimal alternative for the problem with more than two objectives. To analyze the applicability of goal programming, the historical storm data are utilized. The goal programming is applied to the reservoir system operation as well as single reservoir operation. Chungju reservoir is selected for single reservoir operation and Andong and Imha reservoirs are selected for reservoir system operation. The result of goal programming is compared with that of HEC-5. As a result, it was found that goal programming could maintain the reservoir level within flood control level at the end of a flood season and also maintain flood discharge within a design flood at a control point for each time step. The goal programming operation is different from the real operation in the sense that all inflows are assumed to be given in advance. However, flood at a control point can be reduced by calculating the optimal release and optimal release time using suitable constraints and flood forecasting system.

A Study of the Nonlinear Characteristics Improvement for a Electronic Scale using Multiple Regression Analysis (다항식 회귀분석을 이용한 전자저울의 비선형 특성 개선 연구)

  • Chae, Gyoo-Soo
    • Journal of Convergence for Information Technology
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    • v.9 no.6
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    • pp.1-6
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    • 2019
  • In this study, the development of a weight estimation model of electronic scale with nonlinear characteristics is presented using polynomial regression analysis. The output voltage of the load cell was measured directly using the reference mass. And a polynomial regression model was obtained using the matrix and curve fitting function of MS Office Excel. The weight was measured in 100g units using a load cell electronic scale measuring up to 5kg and the polynomial regression model was obtained. The error was calculated for simple($1^{st}$), $2^{nd}$ and $3^{rd}$ order polynomial regression. To analyze the suitability of the regression function for each model, the coefficient of determination was presented to indicate the correlation between the estimated mass and the measured data. Using the third order polynomial model proposed here, a very accurate model was obtained with a standard deviation of 10g and the determinant coefficient of 1.0. Based on the theory of multi regression model presented here, it can be used in various statistical researches such as weather forecast, new drug development and economic indicators analysis using logistic regression analysis, which has been widely used in artificial intelligence fields.

A Study on the Satisfaction with Life for the Elderly - Comparison Study of volunteer work group and economic activities group - (노년기 삶의 만족도에 관한 연구 - 자원봉사활동 집단과 경제활동집단의 비교를 중심으로 -)

  • Kwon, Mi Ae;Kim, Tae Hyun
    • 한국노년학
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    • v.28 no.4
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    • pp.1089-1111
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    • 2008
  • The purpose of this study was to research the effects of socio-demographic factors and values in each group on satisfaction with life by categorizing the activity types of the elderly into volunteer work and economic activities. The subjects of this study were 60 years an old higher. The questionnaires were categorized depending on activity types and collected. The voluntary work group consisted of 201 people (76 males, 36.8% and 125 females, 62.2%), The economic activity group consisted of 219 people (127 males, 58.0% and 92 females, 42.0%). The SPSS 14.0 Windows program was used to analyze data. Frequency, average, standard deviation, factor analysis, Pearson correlation coefficient, t-test, One-Way ANOVA analysis, and hierarchical multiple linear regression were analyzed. The major findings of this study indicate that the elderly in the voluntary work group have a high collectivism value, higher income earned by performing economic activities, and good cognitive health affected by a high satisfaction with life. From these research results, it was proved that a collectivism value is a common factor that affects satisfaction with life in both of the economic activity group. Those who were older had a traditional collectivism value. The voluntary work group showed a stronger collectivism value and higher satisfaction with life than the economic activity group. Thus, the diverse types of voluntary work should be developed and a systematic system should be established as methods for improving quality of life and satisfaction.

Performance Evaluation of Lead (II) Oxide Dosimeter for Digital Quality Assurance in Brachytherapy (방사선 근접치료의 디지털 정도관리를 위한 Lead (II) Oxide 선량계 성능 평가)

  • Han, Moo-Jae;Yang, Seung-Woo;Park, Sung-Kwang
    • Journal of the Korean Society of Radiology
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    • v.15 no.4
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    • pp.429-435
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    • 2021
  • In intracavitary radiotherapy, incorrect location of the source can cause excessive dose to normal tissue, so it is essential to evaluate the location accuracy of the source. In this study, basic research was performed on digital line dosimeter based on lead (II) oxide (PbO) to improve analog verification method. Therefore, a polycrystalline PbO unit cell dosimeter was manufactured and the measurement performance for Ir-192 sources was evaluated. As a result, the reproducibility satisfies the evaluation criteria of 1.5% with a relative standard deviation of 0.85%. Linearity showed excellent results with a linear coefficient of R2 of 0.9998. In the case of distance dependence evaluation, the power function R2 showed 0.9855 for PbO and 0.9974 for diode, and the overall average difference was 1.66% for PbO and 2.18% for diode. This study presents the basic detection performance of the polycrystalline PbO dosimeter for the Ir-192 source and can provide basic data in the field of radiation measurement.

Prediction of Chemical Acceleration Durability Time of Polymer Membrane in Polymer Electrolyte Membrane Fuel Cells (고분자 전해질 연료전지에서 고분자막의 화학적 가속 내구 시간 예측)

  • Sohyeong Oh;Donggeun Yoo;Sunggi Jung;Jihong Jeong;Kwonpil Park
    • Korean Chemical Engineering Research
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    • v.61 no.1
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    • pp.26-31
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    • 2023
  • For durability improvement of polymer electrolyte membrane fuel cell (PEMFC) polymer membrane, accelerated durability evaluation methods that can evaluate durability in a short time have been researched and developed. However, the lifespan of fuel cells for large commercial vehicles such as trucks and buses is more than three times that of passenger cars, and the chemical accelerated stress test (AST) time is also longer, reaching 1,500 hours or more. Therefore, in this study, as a method to evaluate the chemical durability of a membrane within a short time, it was examined whether the durability could be predicted by the pristine membrane characteristics. Hydrogen crossover current density (HCCD) and short resistance (SR) were estimated as initial characteristics, and AST time was predicted through the Fenton experiment, which was possible as an out-of-cell experiment for 3 hours. As the HCCD and fluoride ion emission concentration increased, the AST time tended to be linearly shortened, but there was a deviation (R2 ≒0.65). When the SR decreased, the AST time showed a linear increase, and the accuracy was high (R2 =0.93), so the AST time could be predicted with the initial SR of the membrane.

Dead Layer Thickness and Geometry Optimization of HPGe Detector Based on Monte Carlo Simulation

  • Suah Yu;Na Hye Kwon;Young Jae Jang;Byungchae Lee;Jihyun Yu;Dong-Wook Kim;Gyu-Seok Cho;Kum-Bae Kim;Geun Beom Kim;Cheol Ha Baek;Sang Hyoun Choi
    • Progress in Medical Physics
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    • v.33 no.4
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    • pp.129-135
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    • 2022
  • Purpose: A full-energy-peak (FEP) efficiency correction is required through a Monte Carlo simulation for accurate radioactivity measurement, considering the geometrical characteristics of the detector and the sample. However, a relative deviation (RD) occurs between the measurement and calculation efficiencies when modeling using the data provided by the manufacturers due to the randomly generated dead layer. This study aims to optimize the structure of the detector by determining the dead layer thickness based on Monte Carlo simulation. Methods: The high-purity germanium (HPGe) detector used in this study was a coaxial p-type GC2518 model, and a certified reference material (CRM) was used to measure the FEP efficiency. Using the MC N-Particle Transport Code (MCNP) code, the FEP efficiency was calculated by increasing the thickness of the outer and inner dead layer in proportion to the thickness of the electrode. Results: As the thickness of the outer and inner dead layer increased by 0.1 mm and 0.1 ㎛, the efficiency difference decreased by 2.43% on average up to 1.0 mm and 1.0 ㎛ and increased by 1.86% thereafter. Therefore, the structure of the detector was optimized by determining 1.0 mm and 1.0 ㎛ as thickness of the dead layer. Conclusions: The effect of the dead layer on the FEP efficiency was evaluated, and an excellent agreement between the measured and calculated efficiencies was confirmed with RDs of less than 4%. It suggests that the optimized HPGe detector can be used to measure the accurate radioactivity using in dismantling and disposing medical linear accelerators.

Effect of forearm length applied on empirical models of maximum endurance time during isometric elbow flexion (등척성 팔굽 굽힘시 최대근지구력시간의 실증적 모델에 적용한 전완길이의 영향)

  • Sang-Sik Lee;Kiyoung Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.338-346
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    • 2023
  • During isometric elbow flexion, forearm length should be an important factor to determine not only joint torque but also maximum endurance time (MET), when the forearm is perpendicular to the direction of the force. The purpose of this paper is to examine the effect of forearm length as an additional factor on empirical models of MET such as an exponential model and a power model during isometric elbow flexion. Thirty volunteers participated in our experiment to measure factor variables such as circumferences and lengths of their upper and lower arms. Their METs were measured according to the percent of maximum voluntary contraction intensity (%MVC). For the multiple linear regression model of ln(MET) using these measurements, significant variables could be observed in %MVC and forearm lengths (P<0.05). The empirical models were assessed by these models using forearm length as the additional factor. Mean absolute deviations (MAD) between the measured METs amd the two empirical models were about 19.4 [s], but MAD using models applied forearm lengths were reduced to about 16.2 [s]. The correlation coefficients and intraclass correlation coefficients were about 0.87, but those applied forearm lengths were increased to about 0.91. These results demonstrated that forearm length was a significant additional factor to the empirical model.

Quantitative MRI Assessment of Pancreatic Steatosis Using Proton Density Fat Fraction in Pediatric Obesity

  • Jisoo Kim;Salman S. Albakheet;Kyunghwa Han;Haesung Yoon;Mi-Jung Lee;Hong Koh;Seung Kim;Junghwan Suh;Seok Joo Han;Kyong Ihn;Hyun Joo Shin
    • Korean Journal of Radiology
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    • v.22 no.11
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    • pp.1886-1893
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    • 2021
  • Objective: To assess the feasibility of quantitatively assessing pancreatic steatosis using magnetic resonance imaging (MRI) and its correlation with obesity and metabolic risk factors in pediatric patients. Materials and Methods: Pediatric patients (≤ 18 years) who underwent liver fat quantification MRI between January 2016 and June 2019 were retrospectively included and divided into the obesity and control groups. Pancreatic proton density fat fraction (P-PDFF) was measured as the average value for three circular regions of interest (ROIs) drawn in the pancreatic head, body, and tail. Age, weight, laboratory results, and mean liver MRI values including liver PDFF (L-PDFF), stiffness on MR elastography, and T2* values were assessed for their correlation with P-PDFF using linear regression analysis. The associations between P-PDFF and metabolic risk factors, including obesity, hypertension, diabetes mellitus (DM), and dyslipidemia, were assessed using logistic regression analysis. Results: A total of 172 patients (male:female = 125:47; mean ± standard deviation [SD], 13.2 ± 3.1 years) were included. The mean P-PDFF was significantly higher in the obesity group than in the control group (mean ± SD, 4.2 ± 2.5% vs. 3.4 ± 2.4%; p = 0.037). L-PDFF and liver stiffness values showed no significant correlation with P-PDFF (p = 0.235 and p = 0.567, respectively). P-PDFF was significantly associated with obesity (odds ratio 1.146, 95% confidence interval 1.006-1.307, p = 0.041), but there was no significant association with hypertension, DM, and dyslipidemia. Conclusion: MRI can be used to quantitatively measure pancreatic steatosis in children. P-PDFF is significantly associated with obesity in pediatric patients.