• Knowledge Management Research
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• v.22 no.4
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• pp.173-187
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• 2021

In that economic growth strategy through maximizing input would not working anymore in the rapidly changing economic environment, now we should focus on the improvement of firms' efficiency. This study estimate the efficiency and determinants of the efficiency using the panel data of 938 Korean manufacturing firms which ranked in high R&D investment firms during 2005~2018. We found that both R&D intensity as R&D input and patent stock as R&D output increase the efficiency of firms independently. And firm size, debt ratio, profitability also affect the firm's efficiency.

• Journal of ILASS-Korea
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• v.27 no.3
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• pp.134-143
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• 2022

When a recess is applied to a swirl coaxial injector that uses liquid and gas propellants, a self-pulsation phenomenon in which the spray oscillates at regular intervals may occur. The phenomenon is caused by the interaction between the liquid and gas propellants inside the injector recess region. The propellants' kinetic energies are expected to affect significantly the spray oscillation. Therefore, cold-flow tests using helium as a gas-simulating propellant were conducted and compared with the results of the previous study using air. Dynamic pressure was measured in the injector manifold and frequency characteristics were investigated through the fast Fourier transform analysis. In the experimental environment, the helium density was about seven times lower than the air density. Accordingly, the intensity of pressure fluctuations was confirmed to be greater when air was used. At the same kinetic energy condition, the perturbation frequency was almost identical in the low flow rate conditions. However, as the flow rate increased, the self-pulsation frequency was higher when helium was used.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.95-95
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• 2020

Urban flooding occurs in the form of internal-water inundation on roads and lowlands due to heavy rainfall. Unlike in the case of rivers, inundation in urban areas there is lacking in research on predicting and warning through measurement data. In order to analyze urban flood patterns and prevent damage, it is necessary to analyze flooding measurement data for various rainfalls. In this study, the pattern of urban flooding caused by rainfall was analyzed by utilizing the urban flooding measuring sensor, which is being test-run in the flood prone zone for urban flooding management. For analysis, 2019 rainfall data, surface water depth data, and water level data of a street inlet (storm water pipeline) were used. The analysis showed that the amount of rainfall that causes flooding in the target area was identified, and the timing of inundation varies depending on the rainfall pattern. The results of the analysis can be used as verification data for the urban inundation limit rainfall under development. In addition, by using rainfall intensity and rainfall patterns that affect the flooding, it can be used as data for establishing rainfall criteria of urban flooding and predicting that may occur in the future.

• Journal of Korean Academy of Rural Health Nursing
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• v.18 no.1
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• pp.40-48
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• 2023

Purpose: This study is a descriptive research that analyzes the current status of education for COVID-19 response tasks and factors affecting work fatigue of primary health care practitioners who have experience in dispatching to respond to COVID-19. Methods: This study collected data through an online survey from September 21 to 29, 2022, targeting 193 primary health care practitioners. The data were analyzed by frequency, percentage, mean, standard deviation, and logistic regression analysis using the SPSS 25.0 program. Results: 74.1% of the study subjects were dispatched without receiving disaster medical training to respond to COVID-19. 59.6% of the study subjects' work fatigue was above the level of being very tired. The factors that affect the work fatigue of the subjects were disaster participation experience, work intensity, compensation regulations, compensation satisfaction, and understanding of COVID-19 guidelines. Conclusion: Based on the results of this study, an educational program for systematic disaster response and preparation for primary health care practitioners in charge of public health care should be developed to efficiently cope with the occurrence of new infectious diseases in the future.

• Physical Therapy Rehabilitation Science
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• v.12 no.2
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• pp.115-122
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• 2023

Objective: A previous study reported that cardiovascular training (CT) decreased interleukin-6 (IL-6), a pro-inflammatory cytokine with bidirectional effects. However, because of conflicting results of increasing and decreasing IL-6 levels in stroke patients, it is essential to clarify the effects of CT on IL-6 levels in this population. Therefore, this review aimed to investigate the effects of CT on IL-6 levels in stroke patients through a meta-analysis of randomized controlled trials (RCTs), synthesizing and analyzing the effects qualitatively and quantitatively. Design: A systematic review and meta-analysis of randomized controlled trials. Methods: In this review, conducted in April 2023, electronic databases (Web of Science, CINAHL, Embase, MEDLINE, Google Scholar) were searched to ascertain the effects of CT on IL-6 levels in stroke patients. For qualitative evaluation, ReVMan, provided by the Cochrane Group, was used, and for quantitative evaluation, a random-effects model and SMD (Standardized Mean Difference) were used. Results: Three RCTs measured IL-6 in 117 patients with stroke. The experimental group to which CT was applied showed no significant change compared to the control group.The result of analysis using the random effect model is SMD=-0.23; 95% confidence interval, -0.66 to 0.20. Conclusions: CT does not affect IL-6 levels in stroke patients. These results suggest that CT can be applied regardless of its positive or negative effect on IL-6 levels in stroke patients.

• Steel and Composite Structures
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• v.51 no.1
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• pp.63-72
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• 2024

This study delves into the interaction dynamics between lateral notches and inclusions, providing valuable insights for more effective engineering of structural components. By employing the finite element method, the research analyzes how inclusions affect the dimensions and contours of the plastic zone under confined plasticity conditions. Several parameters were investigated, including loading influence, the distance between the inclusion and notch tip, inclusion stiffness, and the distribution of Von Mises stress, as well as normal stresses σxx and σyy, and Comparison between different stresses. Examining stress distributions under varying loading conditions reveals a significant intensification, particularly near the crack tip. Moreover, the presence of an inclusion near the notch base reduces both the size and shape of the plastic zone. The distribution of the stresses for different loads knows an increase in intensity, especially near the crack head, which is the most requested by the tensile forces on its upper part, which can cause either the crack's initiation or opening, inducing significant stresses.

• Journal of the Earthquake Engineering Society of Korea
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• v.28 no.1
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• pp.1-10
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• 2024

For important structures such as nuclear power plants, In-Structure Response Spectrum (ISRS) analysis is essential because it evaluates the safety of equipment and components installed in the structure. Because most structures are asymmetric, the response can be affected by eccentricity. In the case of seismically isolated structures, this effect can be greater due to the difference between the center of mass of the structure and the center of rigidity of the isolator layer. Therefore, eccentricity effects must be considered when designing or evaluating the ISRS of seismically isolated structures. This study investigated the change of the ISRS of an isolated structure by assuming accidental eccentricity. The variables that affect the ISRS of the isolated structure were analyzed to see what additional impact they had due to eccentricity. The ISRS of the seismically isolated structure with eccentricity was amplified more than when there was non-eccentricity, and it was boosted more significantly in specific period ranges depending on the isolator's initial stiffness and seismic intensity. Finally, whether the displacement requirement of isolators can be applied to the variation of the ISRS due to eccentricity in the design code was also examined.

• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.927-940
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• 2023

Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.

• Food Science of Animal Resources
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• v.44 no.2
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• pp.309-325
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• 2024

The consumption of meat has been increasing, leading to a dynamic meat and meat processing industry. To maintain the quality and safety of meat products, various technologies have been explored, including intense pulsed light (IPL) technology. Several factors affect the inactivation of microorganisms by IPL treatment, including light intensity (fluence), treatment duration, pulse frequency, and the distance between the lamp and the samples. Meat products have been studied for IPL treatment, resulting in microbial reductions of approximately 0.4-2.4 Log. There are also impacts on color, sensory attributes, and physico-chemical quality, depending on treatment conditions. Processed meat products like sausages and ham have shown microbial reductions of around 0.1-4 Log with IPL treatment. IPL treatment has minimal impact on color and lipid oxidation in these products. Egg products and dairy items can also benefit from IPL treatment, achieving microbial reductions of around 1-7.8 Log. The effect on product quality varies depending on the treatment conditions. IPL technology has shown promise in enhancing the safety and quality of various food products, including meat, processed meat, egg products, and dairy items. However, the research results on animal-based food are not diverse and fragmentary, this study discusses the future research direction and industrial application through a review of these researches.

• Journal of the Korean Geographical Society
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• v.49 no.5
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• pp.675-689
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• 2014

This study applied Ensemble Empirical Mode Decomposition(EEMD), a new methodology to define the timing of spring onset over the Republic of Korea and to examine its spatio-temporal change. Also this study identified the relationship between spring onet timing and some atmospheric variations, and figured out synoptic factors which affect the timing of spring onset. The averaged spring onset timing for the period of 1974-2011 was 11th, March in Republic of Korea. In general, the spring onset timing was later with higher latitude and altitude regions, and it was later in inland regions than in costal ones. The correlation analysis has been carried out to find out the factors which affect spring onset timing, and global annual mean temperature, Arctic Oscillation(AO), Siberian High had a significant correlation with spring onset timing. The multiple regression analysis was conducted with three indices which were related to spring onset timing, and the model explained 64.7%. As a result of multiple regression analysis, the effect of annual mean temperature was the greatest and that of AO was the second. To find out synoptic factors affecting spring onset timing, the synoptic analysis has been carried out. As a result the intensity of meridional circulation represented as the major factor affect spring onset timing.