• Nutrition Research and Practice
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• v.16 no.1
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• pp.94-105
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• 2022

BACKGROUND/OBJECTIVES: The purpose of this study was to investigate the association between socioeconomic status and chewing discomfort and identify the role of food insecurity in the association's causal pathway in a representative sample of Korean elders. MATERIALS/METHODS: We conducted cross-sectional analyses of the Korea National Health and Nutrition Examination Survey (2013-2015) data for elders aged ≥ 65 years. Socioeconomic status indicators used included household income and education level. Chewing discomfort was assessed according to the self-reported presence of chewing problems. Food security was surveyed using a questionnaire based on the US Household Food Security Survey Module. RESULTS: The odds ratios of chewing discomfort in the 1st and 2nd income quartiles were 1.55 (95% confidence interval [CI], 1.15-2.10) and 1.40 (95% CI, 1.03-1.90), respectively, compared to participants in the highest income quartile. Participants with the lowest education level were 1.89 (95% CI, 1.30-2.75) times more likely to have chewing discomfort than those without chewing discomfort. After including food security in the final model, the logistic coefficients were attenuated in the income and education quartiles. CONCLUSIONS: Low socioeconomic status was associated with chewing discomfort. In addition, the results confirm that food insecurity can mediate the association between socioeconomic inequalities and chewing discomfort among the elderly.

• Nuclear Engineering and Technology
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• v.54 no.9
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• pp.3494-3515
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• 2022

This paper presents the development of a nodal diffusion code, RAST-V, and its verification and validation for VVER (vodo-vodyanoi energetichesky reactor) analysis. A VVER analytic solver has been implemented in an in-house nodal diffusion code, RAST-K. The new RAST-K version, RAST-V, uses the triangle-based polynomial expansion nodal method. The RAST-K code provides stand-alone and two-step computation modes for steady-state and transient calculations. An in-house lattice code (STREAM) with updated features for VVER analysis is also utilized in the two-step method for cross-section generation. To assess the calculation capability of the formulated analysis module, various verification and validation studies have been performed with Rostov-II, and X2 multicycles, Novovoronezh-4, and the Atomic Energy Research benchmarks. In comparing the multicycle operation, rod worth, and integrated temperature coefficients, RAST-V is found to agree with measurements with high accuracy which RMS differences of each cycle are within ±47 ppm in multicycle operations, and ±81 pcm of the rod worth of the X2 reactor. Transient calculations were also performed considering two different rod ejection scenarios. The accuracy of RAST-V was observed to be comparable to that of conventional nodal diffusion codes (DYN3D, BIPR8, and PARCS).

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.143-156
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• 2022

This article examines the effect of inward foreign direct investments (FDI) on the export performance of micro, small & medium enterprises (MSMEs) in India, and investigates the spillover impact and absorption capacity of the MSMEs sector. For the first time, the researchers applied the intersectoral linkage approach to investigate the matter and used a panel dataset between 2006 and 2017. The coefficients of forward and backward linkages are estimated by using the Rasmussen method, the study employs a basic linear panel data model, followed by various diagnostic tests to identify the problem of heteroscedasticity, autocorrelation / serial correlation, cross-sectional dependencies, multicollinearity, time-individual specific tests, and unobserved effects. The PCSE model was applied for robust standard error and the Hausman-Taylor IV model to check the robustness of the result generated in the linear panel data model. Despite the high prevalence of forward and backward intersectoral connections and the Lack of absorption capacity of local firms, the results show that FDI has little of an impact on the export performance of micro, small, and medium-sized businesses in India. This study adds to the existing literature on determining local firms' spillover effect and absorption capacity in response to inward FDI.

• Journal of Korean Biological Nursing Science
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• v.24 no.2
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• pp.113-121
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• 2022

Purpose: The purpose of this study was to identify influence of health behavior in patients with coronary artery disease. Methods: A cross-sectional descriptive design included 150 patients treated with percutaneous coronary intervention in S hospital in S city. Data were collected by using self-questionnaires July 5-August 26, 2021 and were analyzed by descriptive statistics, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients, and multiple regression with SPSS 23.0. Results: Factors significantly influencing health behavior in patients with coronary artery disease were health empowerment (β = .48, p< .001), and post-traumatic growth (β = .20, p= .013). The explanatory power of related variables was 39%. Conclusion: Based on the this study, it was found that health empowerment and post-traumatic growth had a significant effect on the health behavior of patients with coronary artery disease. Thus, it is necessary to promote the health behavior of patients with coronary artery disease through the development of intervention programs to improve health empowerment and post-traumatic growth.

• Structural Engineering and Mechanics
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• v.84 no.1
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• pp.1-16
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• 2022

An efficient and accurate classification method for failure modes of reinforced concrete (RC) columns was proposed based on key characteristic parameters. The weight coefficients of seven characteristic parameters for failure modes of RC columns were determined first based on the support vector machine-recursive feature elimination. Then key characteristic parameters for classifying flexure, flexure-shear and shear failure modes of RC columns were selected respectively. Subsequently, a support vector machine with key characteristic parameters (SVM-K) was proposed to classify three types of failure modes of RC columns. The optimal parameters of SVM-K were determined by using the ten-fold cross-validation and the grid-search algorithm based on 270 sets of available experimental data. Results indicate that the proposed SVM-K has high overall accuracy, recall and precision (e.g., accuracy>95%, recall>90%, precision>90%), which means that the proposed SVM-K has superior performance for classification of failure modes of RC columns. Based on the selected key characteristic parameters for different types of failure modes of RC columns, the accuracy of SVM-K is improved and the decision function of SVM-K is simplified by reducing the dimensions and number of support vectors.

• Structural Engineering and Mechanics
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• v.82 no.1
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• pp.41-53
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• 2022

We developed an accurate and simple vibration model to calculate the natural frequencies and their corresponding vibration modes for multi-span beam bridges with non-uniform cross-sections. A closed set of characteristic functions of a single-span beam was used to construct the vibration modes of the multi-span bridges, which were considered single-span beams with multiple constraints. To simplify the boundary conditions, the restraints were converted into spring constraints. Then the functional of the total energy has the same form as the penalty method. Compared to the conventional penalty method, the penalty coefficients in the proposed approach can be calculated directly, which can avoid the iteration process and convergence problem. The natural frequencies and corresponding vibration modes were obtained via the minimum total potential energy principle. By using the symmetry of the eigenfunctions or structure, the matrix size can be further reduced, which increases the computational efficiency of the proposed model. The accuracy and efficiency of the proposed approach were validated by the finite element method.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.233-244
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• 2022

A MATLAB program was developed to calculate the half-wavelength of a sine-curve baseband signal with white noise by using an autocorrelation function, a SG filter, and zero-crossing detection. The frequency of the input signal can be estimated from 1) the first zero-crossing (corresponding to ¼λ) and 2) the R value (the Y axis of the correlogram) at the center of the segment. Thereby, the frequency information of the preceding segment can be obtained. If the segment size were optimized, and a portion with a large zero-crossing dynamic range were obtained, the frequency discrimination ability would improve. Furthermore, if the values of the correlogram for each frequency prepared on the CPU side were prepared in a table, the volume of calculations can be reduced by 98%. As background, period detection by autocorrelation coefficients requires an integer multiple of 1/2λ (when using a sine wave as the object of the autocorrelation function), otherwise the correlogram drawn by R value will not exhibit orthogonality. Therefore, it has not been used in bio-telemetry where the frequencies move around.

• Korean Journal of Occupational Health Nursing
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• v.30 no.4
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• pp.196-205
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• 2021

Purpose: This study aimed to identify the factors influencing health-promoting behaviors (HPB) among fish market merchants. Methods: A cross-sectional descriptive design including 117 merchants working at a fish market in city C. Data were collected using self-reported questionnaires during April 19-30, 2021, and were analyzed using descriptive statistics, t-test, ANOVA, Scheffé's test, Pearson correlation coefficients, and stepwise multiple regression analysis with SPSS/WIN 23.0. Results: The scores were 2.68±0.49 for HPB among fish market merchants. Factors significantly influencing HPB among fish market merchants were perceived disabilities (β=-.42, p<.001), self-efficacy (β=.26, p<.001), perceived benefits (β=.16, p=.012), exercise (β=.14, p=.023) and daily working hours (β=-.13, p=.030). These factors accounted for 60.3% of the HPB of fish market merchants. Conclusion: These findings suggest that efforts are needed to reduce perceived disabilities, reduce working hours per day, and develop programs to enhance self-efficacy, perceived benefits, and exercise in order promote HPB among fish market merchants.

• Journal of muscle and joint health
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• v.29 no.2
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• pp.124-132
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• 2022

Purpose: The purpose of this study was to investigate the relationships among critical thinking disposition, problem solving ability, and triage competency in nurses working in Emergency Rooms (ERs). Methods: This cross-sectional study, conducted in August and September 2021, involved 118 ER nurses from three hospitals in the Gyeonggi-do metropolitan area. The data were analyzed using t-test, ANOVA, Scheffé test, Pearson correlation coefficients, and multiple linear regression analysis using SPSS for Windows version 25.0. Results: The mean score of triage competency among ER nurses was 87.63±15.65. In the regression model, age, ER experience, triage experience, critical thinking disposition, and problem solving ability predicted 52% of the triage competency. Both critical thinking disposition and problem-solving ability were noted to be significant (β=.32, p<.001; β=.36, p<.001, respectively). Conclusion: Critical thinking disposition and problem solving ability of ER nurses were identified as major factors in triage competency. To improve ER nurses' triage competency and enhance critical thinking disposition and problem solving ability, a systematic and ongoing program should be developed and implemented.

• Journal of Hospice and Palliative Care
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• v.25 no.4
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• pp.169-177
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• 2022

Purpose: The aim of this study was to examine the influence of spirituality and job satisfaction on the compassion competence of hospice nurses. Methods: This was a cross-sectional study of 118 hospice nurses from 16 hospitals in Daejeon, Chungcheong Province, and Jeolla Province. A self-administered survey was conducted using a structured questionnaire including the Spirituality Scale, Index of Work Satisfaction, the Compassion Competence Scale for Nurses, and general socio-demographic information. The data were analyzed using descriptive statistics, the t-test, Pearson correlation coefficients, and hierarchical linear regression analysis using SPSS for Windows version 26.0. Results: Compassion competence was correlated with spirituality (r=0.66, P＜0.001) and job satisfaction (r=0.52, P＜0.001), and spirituality was correlated with job satisfaction (r=0.44, P＜0.001). Spirituality (β=0.513, P＜0.001) and job satisfaction (β=0.273, P＜0.001) were significant factors affecting the compassion competence of hospice nurses, after adjusting for the sociodemographic and work-related covariates. The step-by-step results from hierarchical linear regression analysis also indicated that spirituality had a stronger impact than job satisfaction on compassion competence. Conclusion: Our findings demonstrate the importance of spirituality, which plays a role in guiding the compassion competence of hospice nurses. It is necessary to support the spirituality and job satisfaction of hospice nurses, which could facilitate their compassion competence and thereby contribute to improving the quality of hospice and palliative care.