• Korea Trade Review
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• v.46 no.3
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• pp.151-170
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• 2021

This study is to examine the perception and difference of existing market participants on the intention of accepting domestic cargo transportation platform and analyze the effect of the intention on acceptance using UTAUT. Through the analysis, we can quantitatively examine the expectation of the cargo transportation platform expected by the participants in the transportation market and suggest implications. As the results of the analysis of variance conducted to understand the difference according to the variables of each industry, it was found that there was no difference in attitude according to the cargo transportation platform for workers of various companies such as transportation, distribution, and manufacturing. The results of the test showed that performance expectation, effort expectation, significance influence, and social impact had a positive (+) effect on acceptance intention. However, the hypothesis that perceived risk would have negative (-) effects on acceptance intention was not significant and was rejected.

• Child Health Nursing Research
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• v.30 no.2
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• pp.97-107
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• 2024

Purpose: This study aimed to investigate the impact of family resilience on caregiver well-being across various age groups of children diagnosed with ADHD (attention-deficit/hyperactivity disorder) groups (0-5, 6-11, and 12-17 years). Methods: Utilizing secondary data from the 2022 US National Survey of Child Health, this cross-sectional study involved 2,752 children who were formally diagnosed with ADHD. Statistical analysis included descriptive analysis, Spearman's rank correlation, chi-square tests, and linear regression, conducted using SPSS version 27. Results: The study revealed a moderate positive correlation (r=.35, p<.001) between family resilience and caregiver well-being. Controlling for covariates, family resilience accounted for 25.2%, 21.1%, and 22.1% of caregiver well-being variance in age groups 0-5, 6-11, and 12-17 years, respectively. Additionally, factors like employment status, family structure, and caregiver age showed varying influences on caregiver well-being across these developmental stages. A consistent pattern emerged across these age groups: unemployment and non-traditional family structures were associated with negative impacts on caregiver well-being, whereas older caregiver age positively influenced well-being. Conclusion: This research underscores the importance of age-specific family resilience strategies to improve caregiver well-being and family interactions in ADHD contexts. Investigating these aspects through qualitative studies across various cultures could deepen our understanding of well-being and inform culturally sensitive interventions.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.225-237
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• 2024

Purpose - This study aims to explore the relationship between housing and land prices, with a specific emphasis on the impact of government policies on these factors such as land supply quantity and the ratio of residential land to total land supplied. The goal is to identify the most effective government intervention strategies for controlling both housing and land prices. Design/methodology/approach - Data from 70 primary and medium-sized cities in China spanning from 2003 to 2017 are utilized in this research. The analysis employs a panel vector autoregressive (PVAR) model, with a primary focus on examining the relationships among housing prices, land prices, and government intervention policies. Findings - Housing and land prices are influenced by various factors. Through impulse response analysis and variance decomposition, it is observed that both housing and land prices are predominantly influenced by their internal dynamics, with comparatively weaker effects attributed to policy interventions. Research implications or Originality - By investigating the impact of government policies on housing and land prices, This study establishes a foundation for effective price control measures. Our study advocates for a comprehensive examination of China's land supply mechanism to enhance understanding of the pathways through which government policies influence the markets.

• Child Health Nursing Research
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• v.30 no.1
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• pp.31-44
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• 2024

Purpose: This study aimed to identify the infant-rearing experiences of parents during the coronavirus disease 2019 (COVID-19) pandemic and provide foundational data for the development of infant-rearing support programs during pandemic situations. Methods: Convergent mixed methods were used to better understand the research outcomes by converging both quantitative and qualitative data. A total of 149 parents with infant-rearing experiences during the pandemic responded to a self-report survey, and 10 parents participated in the interviews. Data were analyzed using Colaizzi's method, descriptive statistics, t-test, one-way analysis of variance, the Scheffé test, Pearson correlation coefficients, and hierarchical regression. Results: Analysis of qualitative data yielded the following three categories: five theme clusters, ten themes, and thirty-nine subthemes. The factors influencing infant-rearing behavior were nuclear family (β=.34, p<.001) and rearing stress (β=-.39, p<.001). The explanatory power of the regression equation was 26.6%. Conclusion: Infectious disease disasters, such as the COVID-19 pandemic, can quickly alter infant-rearing conditions, causing heightened parental anxiety. This may affect infant-rearing behaviors and hinder healthy infant development. Future research should develop a comprehensive tool to measure holistic health-related parenting behaviors across the different stages of child development. Additionally, pediatric nurse practitioners can play an active role in educating parents, supporting parenting, and promoting healthy infant development in their communities, making pediatric nurse practitioners a highly relevant and necessary healthcare profession during infectious disease disasters. Thus, there is a need to improve institutions and build infrastructure at the national level to support them.

• Journal of muscle and joint health
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• v.31 no.2
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• pp.95-106
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• 2024

Purpose: This study investigated how distress and stigma affect the quality of life (QOL) in stroke patients. Methods: A descriptive research design was utilized with 150 stroke patients from three general and three long-term care facilities. Data were collected through an 86-item questionnaire from February 15 to April 10, 2023, using measures of distress, stigma, and QOL. Analysis was conducted using descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis in SPSS/WIN 25.0. Results: The average QOL score was 156.37±38.27 out of 245 points. Factors affecting QOL of stroke patients were distress (β=-.56, p<.001), stigma(β=-.26, p<.001), biplegia (β=-.11, p=.045), and unemployment (β=-.10, p=.045), explaining 68% of the QOL variance. Conclusion: Programs aimed at reducing distress and stigma in stroke patients are essential for enhancing QOL. Effective strategies should address post-stroke physical and mental states, prevent complications, restore health, reduce anxiety, and leverage family and social support to mitigate stigma. Special attention is needed for stroke patients with hemiplegia and those who are unemployed.

• Nuclear Engineering and Technology
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• v.46 no.3
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• pp.313-342
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• 2014

A Nuclear Energy Agency (NEA), Organization for Economic Co-operation and Development (OECD) benchmark for Uncertainty Analysis in Modeling (UAM) is defined in order to facilitate the development and validation of available uncertainty analysis and sensitivity analysis methods for best-estimate Light water Reactor (LWR) design and safety calculations. The benchmark has been named the OECD/NEA UAM-LWR benchmark, and has been divided into three phases each of which focuses on a different portion of the uncertainty propagation in LWR multi-physics and multi-scale analysis. Several different reactor cases are modeled at various phases of a reactor calculation. This paper discusses Phase I, known as the "Neutronics Phase", which is devoted mostly to the propagation of nuclear data (cross-section) uncertainty throughout steady-state stand-alone neutronics core calculations. Three reactor systems (for which design, operation and measured data are available) are rigorously studied in this benchmark: Peach Bottom Unit 2 BWR, Three Mile Island Unit 1 PWR, and VVER-1000 Kozloduy-6/Kalinin-3. Additional measured data is analyzed such as the KRITZ LEU criticality experiments and the SNEAK-7A and 7B experiments of the Karlsruhe Fast Critical Facility. Analyzed results include the top five neutron-nuclide reactions, which contribute the most to the prediction uncertainty in keff, as well as the uncertainty in key parameters of neutronics analysis such as microscopic and macroscopic cross-sections, six-group decay constants, assembly discontinuity factors, and axial and radial core power distributions. Conclusions are drawn regarding where further studies should be done to reduce uncertainties in key nuclide reaction uncertainties (i.e.: $^{238}U$ radiative capture and inelastic scattering (n, n') as well as the average number of neutrons released per fission event of $^{239}Pu$).

• Journal of Soil and Groundwater Environment
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• v.27 no.6
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• pp.22-36
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• 2022

Water resources in Jeju Island are dependent virtually entirely on groundwater. For groundwater resources, drought damage can cause environmental and economic losses because it progresses slowly and occurs for a long time in a large area. Therefore, this study quantitatively evaluated groundwater level fluctuations using principal component and cluster analyses for 42 monitoring wells in Jeju Island, and further identified the types of groundwater fluctuations caused by drought. As a result of principal component analysis for the monthly average groundwater level during 2005-2019 and the daily average groundwater level during the dry season, it was found that the first three principal components account for most of the variance 74.5-93.5% of the total data. In the cluster analysis using these three principal components, most of wells belong to Cluster 1, and seasonal characteristics have a significant impact on groundwater fluctuations. However, wells belonging to Cluster 2 with high factor loadings of components 2 and 3 affected by groundwater pumping, tide levels, and nearby surface water are mainly distributed on the west coast. Based on these results, it is expected that groundwater in the western area will be more vulnerable to saltwater intrusion and groundwater depletion caused by drought.

• Human Ecology Research
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• v.51 no.5
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• pp.563-571
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• 2013

This study aimed to investigate the effects of somatotypes and body-related variables such as body exposure and body satisfaction on underwear evaluative criteria. Usable questionnaires were obtained from a total of 250 male and female students in their 20s. The data were mainly analyzed by t-test, ANOVA and analysis of variance using SPSS ver. 21.0. The results of this study are as follows: First, differences between underwear and outerwear evaluative criteria were found. For example, size, comfort and washing were important for the underwear but design, brand and fashionability were meaningful for outerwear. Price, color, material, and sewing were important for both outerwear and underwear. Second, the groups divided by somatotypes, a thin person group, a moderate person group and a fat person group, showed no difference in underwear evaluative criteria. Members of all the somatotype groups evaluated underwear similarly. Third, the groups divided by body image distortion showed different evaluative criteria for underwear. The negative discordance group emphasized the importance of the practicality factor, but the positive discordance group stressed the significance of the symbolism factor. Finally, the groups divided by body exposure and body satisfaction showed different evaluative criteria for underwear, too. The effects of socio-cultural variables on the underwear evaluative criteria proved to be significant.

• Transactions of the Korean Society of Automotive Engineers
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• v.25 no.3
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• pp.344-349
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• 2017

Suspension noise from under a passenger car is one of the important factors that impact the perceptual quality for drivers. However, it is difficult to validate this by component level testing in the early stage of development, because suspension noise caused by interaction of the related parts has been found at saleable vehicles late during development or at the manufacturing stage, when many customers have already filed for claims. This study proposed a validation testing under research by the DFSS process that enables reproduction of vehicle level noise by component level testing using a shock absorber with the related parts, such as urethane bumper and top mount. This study also developed a compromised test matrix while analyzing the noise factors through experimental design and analysis of variance to determine what factors can affect noise. Based on this study, we expect that the vehicle level and customer claim can be validated during initial development timing by a more reliable component noise validation test.

• Journal of Advanced Navigation Technology
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• v.7 no.2
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• pp.217-226
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• 2003

Recently Lim has proposed a linear, recursive, unbiased minimum variance filter for a maneuvering target based on the maneuver dynamics modeled as a jump process of Poisson-type. In the proposed filter it was assumed that the state transition parameters of the jump used for target maneuver modeling are a priori known to the filter. However, in most cases they are not known in practice. In this paper, we consider the influence of system (target) modeling error on the performance of the proposed tracking filter arising from the maneuver tracking. For qualitative analysis Monte-Carlo simulations are carried out against employing the maneuver model with different state transition parameters from the actual values.