• Research in Community and Public Health Nursing
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• v.28 no.4
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• pp.472-481
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• 2017

Purpose: The purpose of this study were to compare working condition, socioeconomic status, and health status between elderly and non-elderly workers and to examine the influencing factors of health status according to age groups. Methods: This study is a secondary analysis of data extracted from the 2014 Korean Working Conditions Survey. For the present analysis, 15,980 elderly workers over the age of 55 and 32,037 non-elderly workers under the age of 55 were selected. Results: The prevalence of subjective unhealthy status and poor mental health were significantly higher among the elderly workers than the non-elderly workers. The elderly workers were more likely to have lower level of education and income than the non-elderly workers. They also reported less support from colleagues and managers, however, have more decision authority. Among the elderly workers, long working hours, awkward posture, physical environmental risks, quantitative demand, decision authority, social support, age discrimination, education level, and income level were significant predictors of subjective health status or mental health. Conclusion: For keeping elderly workers healthy and productive, work environment needs to become more age-friendly. An age-friendly workplace may include: accommodative support, workers' participation, minimization of environment risk, etc.

• Journal of the Ergonomics Society of Korea
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• v.35 no.5
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• pp.307-317
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• 2016

Objective: This study looks into biomechanical variables occurring when one moves in a sitting posture, and presents objective references to make improvements in work environments of farm workers. Background: The farmers have more common musculoskeletal disorders compared to other professions, because they are much more exposed to biomechanical risk factors. The sitting posture that is the representative form of the squatted, can cause typical knee joint diseases, such as osteoarthritis or patellofemoral pain syndrome of the knee joint. Therefore, a quantitative study of knee load upon the movement in a squatting posture is required. Method: In order to proceed with its investigation, the study examined movements in a sitting posture with and without a lower body supporter through a threedimensional image analysis and by using Surface EMG. The study compared and analyzed the average muscle activity and the maximum muscle activity as well. Results: Every movement in a sitting posture is related to loads onto the knee joints and, when the farm workers move to sides, the study observed a high level of bowlegged moment. The study also noticed differences in muscle activity of medial gastrocnemius with and without the lower body supporter. Conclusion and Application: The study argues that what has been discussed so far is evidence to prove how the farm working environments should be improved in consideration of these movements observed when the farm workers move in a sitting posture.

• Journal of The Korean Society of Agricultural Engineers
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• v.56 no.2
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• pp.11-23
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• 2014

The impact and adaption on agricultural water resources considering climate change is significant for reservoirs. The change in rainfall patterns and hydrologic factors due to climate change increases the uncertainty of agricultural water supply and demand. The quantitative evaluation method of uncertainty based on agricultural water resource management under future climate conditions is a major concern. Therefore, it is necessary to improve the vulnerability management technique for agricultural water supply based on a probabilistic and stochastic risk evaluation theory. The objective of this study was to analyse the uncertainty of water resources under future climate change using probability distribution function of water supply in agricultural reservoir and demand in irrigation district. The uncertainty of future water resources in agricultural reservoirs was estimated using the time-specific analysis of histograms and probability distributions parameter, for example the location and the scale parameter. According to the uncertainty analysis, the future agricultural water supply and demand in reservoir tends to increase the uncertainty by the low consistency of the results. Thus, it is recommended to prepare a resonable decision making on water supply strategies in terms of using climate change scenarios that reflect different future development conditions.

• Smart Structures and Systems
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• v.5 no.4
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• pp.495-505
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• 2009

Bridges form crucial links in the transportation network especially in high seismic risk regions. This research aims to provide a quantitative methodology for post-earthquake performance evaluation of the bridges. The experimental portion of the research involved shake table tests of a 4-span bridge which was subjected to progressively increasing amplitudes of seismic motions recorded from the Northridge earthquake. As part of this project, a high resolution long gauge fiber optic displacement sensor was developed for post-seismic evaluation of damage in the columns of the bridge. The nonlinear finite element model was developed using Opensees program to simulate the response of the bridge and the abutments to the seismic loads. The model was modified to predict the bent displacements of the bridge commensurate with the measured bent displacements obtained from experimental analysis results. Following seismic events, the tangential stiffness matrix of the whole structure is reduced due to reduction in structural strength. The nonlinear static push over analysis using current damaged stiffness matrix provides the longitudinal and transverse ultimate capacities of the bridge. Capacity loss in the transverse and longitudinal directions following the seismic events was correlated to the maximum displacements of the deck recorded during the events.

• Journal of the Korean Institute of Gas
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• v.8 no.3 s.24
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• pp.37-42
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• 2004

This study established a catastrophic scenario and a likely scenario by qualitative and quantitative risk assessments to consider climate condition with season, and assessed efficiency of safety management cost with scenarios by cost-benefit analysis. As results, the catastrophic scenario was the maintenance error for unsteady state operation, and the likely scenario was the gas release accident at node $\sharp$4 of HAZOP Also, benefit/cost ratios for total safety management cost and effective items of safety management could be assessed at each scenario.

• Nuclear Engineering and Technology
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• v.50 no.5
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• pp.767-772
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• 2018

Public acceptance is a major issue that will determine the future of nuclear energy. In this article, we review relevant studies and identify several common patterns of nuclear public acceptance. Based on these patterns and four categories of factors, we propose hypotheses on the impact of different socioeconomic factors on the public opinion of nuclear energy. These factors were demographic and social influences, politico-economic, energy conditions, and nuclear accidents and natural risks. We tested these hypotheses using a data set including survey results on public opinion of nuclear energy in 59 countries from 1987 to 2014. Results of the regression analysis generally verified the proposed hypotheses, especially regarding the positive impact of education or geological suitability and the negative effect of improved living standards and democracy on nuclear acceptance. We propose policy recommendations, including a better focus on education and communication and a thorough consideration of the social and geological conditions a country needs to make before deciding to go nuclear. Potential weaknesses of this study are also discussed, including the possible causal relation between independent variables and the binary nature of the dependent variable.

• Acta Via Serica
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• v.6 no.1
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• pp.31-54
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• 2021

Radicalisation has become an important issue for the Kyrgyz Republic with an increasing number of individuals leaving the country for conflict zones. The government of the Kyrgyz Republic adopted a number of policies to prevent radicalisation and violent extremism among youth. One of these measures is piloting a new subject, titled, History of Religious Culture, (История религиозной культуры) in public schools. The analysis in this paper aims to explore the experiences of teachers, who have taught the new class. The article also examines any differences in the level of resilience of pupils in schools, piloting and not piloting the new subject, towards radicalisation and violent extremism. Data used in this article comes from a survey with 760 adolescents across public schools in six regions of the country and key informant interviews with teachers who have taught the new class. Qualitative findings showed a positive experience of teachers who reported expanding their pupils' and their own knowledge of various religions. Quantitative findings indicate that the new class, History of Religious Culture, may have had a positive impact on violence-related beliefs in pilot schools that reported views less supportive of violence. The study concludes that the government's response to radicalisation and violent extremism has expanded beyond a security approach by including education. This, however, poses a risk of securitising education.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.339-350
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• 2022

The purpose of the study is to determine how organizational culture affects employees' organizational commitment in Vietnamese clothing enterprises. Quantitative research through a questionnaire survey was applied in this research. A Survey of employees of Vietnamese garment companies in Hanoi was conducted from May 2021 to August 2021. The questionnaire was built from reference to previous studies and transferred to Google form. 315 returned questionnaires were usable. The statistical software SPSS 20.0 was used to test the reliability of the scale (Cronbach alpha), exploratory factor analysis (EFA), and regression analysis. The Organizational culture is constructed by 8 components including Organizational Communication, Training and development, Reward and Recognition, Teamwork orientation, Decision-making, Innovation and risk-taking, Direction and future planning, and Leader behavior. Organizational commitment is constructed by 3 components such as affective commitment, continuance commitment and normative commitment. Findings show that organizational culture has a strong impact on organizational commitment in Vietnamese garment companies. Research provides recommendations on developing a good organizational culture through forming suitable leadership, effective organizational communication, training and development, reward and recognition, and a clear direction and future planning to enhance employee commitment to the organization and increase the garment company's performance in the future.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.683-684
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• 2015

Project Financing (PF) is the long-term financing of infrastructure and industrial projects based upon the projected cash flows of the project rather than the balance sheets of its sponsors. However, the financial institution, the subject of financing in the case of PF in Korea, the lack of validation system of business, rather than to assess the feasibility of the project, requested a credit reinforcement to the construction company, the fact is Construction Company on loans of the employer is the guarantor or debt argument commitments accordingly. As a result, PF contingent liabilities, which are indirect debt, are triggered in the construction company, not included in the financial statements, along with the disclosure standards established according to 2009 PF contingent liabilities, and major can be a management item. In this study, PF contingent liabilities is of Pearson of the index and the PF debt ratio showing the main financial ratios and risk by classifying the credit rating and contractors Ranking of construction companies in order to analyze the impact on the financial condition of the company was performed correlation analyzes, through the Pearson correlation coefficient analysis indicated quantitative or negative relationship to derive the explicit indication.

• Korean Journal of Radiology
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• v.25 no.6
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• pp.550-558
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• 2024

Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by varying degrees of aggressiveness. The current treatment strategy for HCC is predominantly determined by the overall tumor burden, and does not address the diverse prognoses of patients with HCC owing to its heterogeneity. Therefore, the prognostication of HCC using imaging data is crucial for optimizing patient management. Although some radiologic features have been demonstrated to be indicative of the biologic behavior of HCC, traditional radiologic methods for HCC prognostication are based on visually-assessed prognostic findings, and are limited by subjectivity and inter-observer variability. Consequently, artificial intelligence has emerged as a promising method for image-based prognostication of HCC. Unlike traditional radiologic image analysis, artificial intelligence based on radiomics or deep learning utilizes numerous image-derived quantitative features, potentially offering an objective, detailed, and comprehensive analysis of the tumor phenotypes. Artificial intelligence, particularly radiomics has displayed potential in a variety of applications, including the prediction of microvascular invasion, recurrence risk after locoregional treatment, and response to systemic therapy. This review highlights the potential value of artificial intelligence in the prognostication of HCC as well as its limitations and future prospects.