• Title/Summary/Keyword: model factor

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Predicting sorptivity and freeze-thaw resistance of self-compacting mortar by using deep learning and k-nearest neighbor

  • Turk, Kazim;Kina, Ceren;Tanyildizi, Harun
    • Computers and Concrete
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    • v.30 no.2
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    • pp.99-111
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    • 2022
  • In this study, deep learning and k-Nearest Neighbor (kNN) models were used to estimate the sorptivity and freeze-thaw resistance of self-compacting mortars (SCMs) having binary and ternary blends of mineral admixtures. Twenty-five environment-friendly SCMs were designed as binary and ternary blends of fly ash (FA) and silica fume (SF) except for control mixture with only Portland cement (PC). The capillary water absorption and freeze-thaw resistance tests were conducted for 91 days. It was found that the use of SF with FA as ternary blends reduced sorptivity coefficient values compared to the use of FA as binary blends while the presence of FA with SF improved freeze-thaw resistance of SCMs with ternary blends. The input variables used the models for the estimation of sorptivity were defined as PC content, SF content, FA content, sand content, HRWRA, water/cementitious materials (W/C) and freeze-thaw cycles. The input variables used the models for the estimation of sorptivity were selected as PC content, SF content, FA content, sand content, HRWRA, W/C and predefined intervals of the sample in water. The deep learning and k-NN models estimated the durability factor of SCM with 94.43% and 92.55% accuracy and the sorptivity of SCM was estimated with 97.87% and 86.14% accuracy, respectively. This study found that deep learning model estimated the sorptivity and durability factor of SCMs having binary and ternary blends of mineral admixtures higher accuracy than k-NN model.

Protective Effect of Gatrodiae Rhizoma Extracts on the LPS-Induced Cognitive Impairment Model (LPS에 의해 유도된 인지기능 손상모델에 대한 천마 추출물의 방어효과)

  • Kwon, Kang-Beom;Kim, Ha-Rim;Kim, Ye-Seul;Park, Eun-Hee;Kang, Hyung-Won;Ryu, Do-Gon
    • Journal of Oriental Neuropsychiatry
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    • v.33 no.3
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    • pp.277-285
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    • 2022
  • Objectives: Gastrodia elata (GE) has been used to treat cognition impairment, including Alzheimer's disease (AD) in Korea. The purpose of this study was to investigate the effects of GE water extracts (GEE) on the lipopolysaccharide (LPS)-induced AD model in mice. (Aβ). Methods: We classified six groups as follow; group 1: control (CON), group 2: LPS (0.5 mg/kg/day, four times), group 3: 4 mg/kg donepezil (DP), group 4: 100 mg/kg GEE+LPS, group 5: 200 mg/kg GEE+LPS, group 6: 500 mg/kg GEE+LPS. Results: We found that GEE has an effect that inhibits decrease of discrimination index in object recognition test, as well as spontaneous alteration in the Y-maze test by LPS. Treatment with LPS increased amlyloid-β (Aβ) concentration, and decreased brain-derived neurotrophic factor (BDNF) in cerebral cortex of mice. However, GEE significantly protected against LPS-induced Aβ and BDNF changes. Our findings also showed that the inflammatory cytokines [tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6) and interleukin-1β (IL-1β)] mRNA and protein were up-regulated by the LPS injection. But GEE significantly suppressed LPS-induced inflammatory cytokines increase in a dose-dependent manner. Conclusions: This study suggests that the GEE may be an effective AD therapeutic agent, in treating neurodegenerative diseases including AD.

Structural Equation Model Analysis of Factors Influencing Overall Job Satisfaction of Working-Age Workers

  • Jae-Nam Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.155-164
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    • 2023
  • This study analyzes and verifies the relationship between job satisfaction by factor, organizational commitment, job satisfaction, and overall job satisfaction of working-age workers using a structural equation model. The research data used the 24th data of the Korean Labor and Income Panel Study. The subjects of the study were 8,024 workers in the production age of 15 to 64 as of 2021 among 9,132 people who correctly marked the values of the observation variables. As a result of the study, it was found that job satisfaction by factor had a positive impact on organizational commitment, job satisfaction, and overall work and job satisfaction. In addition, organizational commitment and job satisfaction were found to have a positively significant effect on overall work and job satisfaction. These results emphasize the importance of understanding and solving the unique problems faced by various types of workers in the labor market, ultimately providing important implications for organizations and policy makers to provide workers with an efficient working environment.

Analysis of the COVID-19 Pandemic-Driven Effect Changes of Quality Factors on Customer Satisfaction in Korean Police Civil Affairs Service (COVID-19 유행에 따른 한국 경찰 민원 서비스 고객 만족도에 대한 품질 요인의 영향력 변화 분석)

  • Yeo, Seon-Kwan;Lee, Jong-Hyuk;Choi, Won-Jun;Kim, Ki-Hun
    • Journal of Korean Society for Quality Management
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    • v.51 no.1
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    • pp.67-78
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    • 2023
  • Purpose: The purpose of this study is to investigate the COVID-19 pandemic-driven effect changes of quality factors on customer satisfaction in Korean Police Civil Affairs Service. Methods: This study fitted a regression model to the data collected by Korean National Police Agency from 2019 (before COVID-19 pandemic) to 2020 (during COVID-19 pandemic). In order to simultaneously estimate the effects of major seven quality factors on customer satisfaction for 'before the pandemic' and for 'during the pandemic', the regression model included not only customer satisfaction as the dependent variable, but also the fourteen independent variables consisting of the seven quality factors and their seven interaction terms. The interaction terms were defined by multiplying each quality factor by a dummy variable indicating either before or during the pandemic. Therefore, the coefficient estimates of the interaction terms indicate the changes of their corresponding quality factor effects on customer satisfaction between before and during the pandemic. The double bootstrap method was applied to test the significance of coefficient estimates. Results: Both before and during the pandemic, all quality factors had positive effects on customer satisfaction. However, these effects changed differently from before to during the pandemic: (increased) supportability, sincerity, and convenience; (decreased) integrity, professionalism, and fairness; (unchanged) promptness. Conclusion: This study found that the pandemic caused significant effect changes of quality factors on customer satisfaction in Korean Police Civil Affairs Service. This finding suggests the necessity of carefully monitoring such effect changes to effectively and efficiently improve customer satisfaction. This study also identified that from before to during the pandemic, supportability, sincerity, and convenience become more important and hence, need to be better managed.

Dust scattering simulation of far-ultraviolet light in the Milky Way

  • Jo, Young-Soo;Seon, Kwang-Il;Min, Kyoung-Wook;Jeong, Woong-Seob;Witt, Adolf N.
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.1
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    • pp.57.3-58
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    • 2021
  • We performed three-dimensional Monte Carlo dust scattering radiative transfer simulations for FUV light to obtain dust scattered FUV images and compared them with the observed FUV image obtained by FIMS/SPEAR and GALEX. From this, we find the scattering properties of interstellar dust in our Galaxy and suggest the intensity of extragalactic background light (EBL) at FUV wavelength. The best-fit values of the scattering properties of interstellar dust are albedo = 0.38-0.04+0.04, g-factor = 0.55-0.15+0.10, and EBL = 138-23+21 CU for the allsky which are consistent well with the Milky Way dust model of Draine and direct measurements of Gardner et al., respectively. At the high Galactic latitude of |b|>10°, the observation is well fitted with the model of lower albedo = 0.35-0.04+0.06 and g-factor = 0.50-0.20+0.15. On the contrary, the scattering properties of interstellar dust show higher albedo = 0.43-0.02+0.02 and g-factor = 0.65-0.15+0.05 near the Galactic plane of |b|<10°. In the present simulation, recent three-dimensional distribution maps of interstellar dust in our Galaxy, stellar distances in the catalog of GAIA DR2, and FUV fluxes and/or spectral types in the TD-1 and Hipparcos star catalogs were used.

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A Study on the Effect of Storytelling Marketing on Brand Image and Brand Attitude

  • Kim, Hye-Jin;Park, So-Yeon;Park, Hye-Yoon
    • The Journal of Economics, Marketing and Management
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    • v.6 no.4
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    • pp.1-16
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    • 2018
  • Purpose - This study will investigate and identify the relationship between brand image, brand attitude and intent to purchase based on subjects that have remembered or watched more than one storytelling marketing ad related to airlines. The purpose of the project is to secure market competitiveness by presenting the basis for and use of the marketing strategy using storytelling, which can capture the goodwill of the aerospace competition market in the future. Research, design, data, and methodology - Prior to the research model and hypothesis testing phase, a verification factor analysis was conducted to assess internal consistency among each measurement item and to ensure reliability and validity of the measurement tool. Further, the organization was assessed for validity by calculating the mean variance estimation (AVE) and the construction concept reliability (CCR) through a positive factor analysis. Hypothesis verification was analyzed through a structural equation model, and each concept set in the hypothesis was entered as a potential variable, and each measurement item was entered as an observation variable. Results - Airline's storytelling marketing has a significant impact on the brand image and two emotional and cognitive responses have been shown to influence the brand image. In addition, airline storytelling marketing has a significant impact on brand attitudes and airline storytelling marketing derived from factor analysis has shown two emotional and cognitive responses to brand attitudes. Conclusions - The parts derived based on the research results show that storytelling marketing has a strong influence on the airline's brand image and attitude, and that it is necessary for airlines to have a brand image and attitude. Also, forming a favorable brand image has a significant impact on brand attitudes. We believe that by presenting basic data to the aviation industry in future research on airline storytelling, we will be able to increase understanding and contribution to development of storytelling marketing in aviation.

A Study on the Characteristics of Elderly Suicide and Suicidal Type (노인 자살의 특성과 자살유형에 관한 연구)

  • Hyo-Chang Kim;Young Mi Sohn
    • Korean Journal of Culture and Social Issue
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    • v.12 no.2
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    • pp.1-19
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    • 2006
  • There are less studies on the elderly suicide even though it's steep increase. The purpose of the present study was to investigate factors that influence on the elderly suicide and to categorize them. For these purpose, A total of 23 cases were analyzed through qualitative contents analysis. Specifically, on the basis of the stress-vulnerability model, we scrutinized vulnerability factors(classified personal, family-environment factors) and precipitating events(classified interpersonal events) influencing on the elderly suicide. Personal factor was to be classified into personal mental health, physical health and problematic behavior. Family-environment factor was divided family relationship problem and economic problem. Interpersonal events belonging to the precipitating events was to be classified into interpersonal loss and interpersonal conflict. As the results of this study, elderly suicide classified into 3 types, that is, 'risk type suicide', 'event-response type suicide', 'complex type'. And then we discussed the characteristics of the suicidal types and suggestions for reduction of elderly suicide.

A proposal of spirometry reference equations for Korean workers

  • Yonglim Won;Hwa-Yeon Lee
    • Annals of Occupational and Environmental Medicine
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    • v.34
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    • pp.14.1-14.14
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    • 2022
  • Background: Although spirometry results can be interpreted differently depending on the reference equation used, there are no established criteria for selecting reference equations as part of the special health examinations for Korean workers. Thus, it is essential to examine the current use of reference equations in Korea, quantify their impact on result interpretation, and propose reference equations suitable for Korean workers, while also considering the environmental conditions of special health examination facilities. Methods: The 213,640 results from the special health examination database were analyzed to identify changes in the ratio of measured values to reference values of lung capacity in Korean workers with changes in age or height, and changes in the agreement of interpretations with the reference equation used. Data from 238 organizations that participated in the 2018-2019 quality control assessment by the Korea Occupational Safety and Health Agency were used to identify the spirometer model and reference equations used in each special health examination facility. Results: Korean special health examination facilities used six reference equations, and the rate of normal or abnormal ventilatory diagnoses varied with the reference equation used. The prediction curve of the Global Lung Function Initiative 2012-Northeast Asian (GLI2012) equation most resembled that of the normal group, but the spirometry model most commonly used by examination facilities was not compliant with the GLI2012 equation. With a scaling factor of 0.95 applied to the Dr. Choi equation, the agreement with the GLI2012 equation was > 0.81 for men and women. Conclusions: We propose the GLI2012 equation as reference equation for spirometry in Korean workers. The GLI2012 equation exhibited the most suitable prediction curve against the normal lung function group. For devices that cannot use the GLI2012 equation, we recommend applying a scaling factor of 0.95 to the Dr. Choi equation.

Analysis of platelet-derived growth factor receptor alpha expression in adult mouse testis

  • Min Seok Woo;Eun-Jin Kim;Dong Kun Lee;Chung Eun Lee;Eun-A Ko;Dawon Kang
    • Journal of Animal Reproduction and Biotechnology
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    • v.39 no.2
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    • pp.81-87
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    • 2024
  • Background: Platelet-derived growth factor receptor alpha (PDGFRα) is essential for various biological processes, including fetal Leydig cell differentiation. The PDGFRαEGFP mouse model, which expresses an eGFP fusion gene under the native Pdgfrα promoter, serves as a valuable resource for exploring PDGFRα's expression and function in vivo. This study investigates PDGFRα expression in adult testicular cells using PDGFRαEGFP mouse model. Methods: Genotyping PCR and gel electrophoresis were used to confirm the zygosity of PDGFRαEGFP mice. Histological examination and fluorescence imaging were used to identify PDGFRα expression within testicular tissue. Immunohistochemical analysis assessed the co-expression of PDGFRα with c-Kit, ANO-1, and TASK-1 in testicular cells. Results: Genotyping confirmed the heterozygous status of the mice, which is crucial for studies due to the embryonic lethal phenotype observed in homozygotes. Histological and fluorescence imaging revealed that PDGFRα+ cells were primarily located in the interstitial spaces of the testis, specifically within Leydig cells and peritubular myoid cells (PMCs). Immunohistochemical results showed PDGFRα co-localization with c-Kit and ANO-1 in Leydig cells and a complete co-localization with TASK-1 in both Leydig cells and PMCs. Conclusions: The findings demonstrate specific expression of PDGFRα in Leydig cells and PMCs in adult testicular tissue. The co-expression of PDGFRα with c-Kit, ANO-1, and TASK-1 suggests complex regulatory mechanisms, possibly influencing testicular function and broader physiological processes.

Prediction Model for Reduced Bone mass in Women using Individual Characteristics & Life Style Factors (여성의 개인적 특성과 생활양식요인을 이용한 골량감소 예측모형)

  • Lee, Eun-Nam;Lee, Eun-Ok
    • Journal of muscle and joint health
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    • v.5 no.1
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    • pp.83-109
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    • 1998
  • This study was carried out to identify the Important modifiable risk factors for reduced bone mass and to construct prediction model which can classify women with either low or high bone mass. Through the literature review, individual characteristics such as age, body weight, height, education level, family history, age of menarche, postmenopausal period, gravity, parity, menopausal status, and breast feeding period were identified and factors of life style such as past milk consumption, past physical activity, present daily activity, present calcium intake, alcohol intake, cigarette smoking, coffee consumption were identified as influencing factors of reduced bone mass in women. Four hundred and eighty women aged between 28 and 76 who had given measurement bone mineral density by dual energy x-ray absortiometry in lumbar vertebrae and femur from July to October, 1997 at 4 general hospitals in Seoul and Pusan were selected for this study. Women were excluded if they had a history of any chronic illness such as rheumatoid arthritis, diabetes mellitus, hyperthroidism, & gastrointestinal disorder and any medication such as calcium supplements, calcitonin, estrogen, thyroxine, antacids, & corticosteroids known affect bone. As a result of these exclusion criteria, four hundred and seventeen women were used for analysis. Multiple logistic regression model was developed for estimating the likelihood of the presence or absence of reduced bone mass. A SAS procedure was used to estimate risk factor coefficient. The results are as follows For lumbar spine, the variables significant were age, body weight, menopause status, daily activity, past milk consumption, and past physical activity(p<0.01), while for femoral Ward's triangle, age, body weight, level of education, past milk consumption, past physical activity(p<0.001). Past physical activity, present daily activity and past milk consumption are the most powerful modifiable predictors in vertebrae and femur among the predictors. When the model performance was evaluated by comparing the observed outcome with predicted outcome, the model correctly identified 74.1% of persons with reduced bone mass and 84.5% of persons with normal bone mass in the lumbar vertebrae and 82.9% of persons with reduced bone mass and 75.0% of persons with normal bone mass in the femoral Ward's triangle. On the basis of these results, a number of recommendations for the management of reduced bone mass may be made : First, those woman who are classified as high risk group of the reduced bone mass in the prediction model should examine the bone mineral density to further examine the usefulness of this model. Second, the optimal amount of milk consumption and a regular weight bearing exercise in childhood, adolescence, and early adult should be ensured.

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