• Proceedings of the Korea Concrete Institute Conference
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• 2003.05a
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• pp.53-58
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• 2003

Many researchers have rigorously studied the nonlinear behavior of stress-strain relationship of concrete using mathematical curves. Most of model equations for stress-strain relationship, however, have been focused on old age concrete, and were not able to adequately represent the behavior of concrete at an early age. A wide understanding on the behavior of concrete from early age to old age is very important in evaluating the durability and service life of concrete structures. In previous study by authors of this paper, a stress-strain model equation for low- and medium-strength concretes was suggested. In this paper, to extend the application region of compressive stress-strain curve to high-strength concrete, an analytical research was performed. An analytical expression of stress-strain curve with strength and age was developed using regression analyses on the experimental results. For the verification of the proposed model equation, it was compared to the experimental data. The result showed that the proposed model equation was not only compatible with the experimental data quite satisfactorily but also describing well the effect of strength and age on stress-strain curve.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.255-268
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• 2016

The purpose of this paper is to propose a notification service for preventing unexpected accidents which will be occurred by enlisted men's stress in Korean Army. For this purpose we first evaluate the enlisted men's stress with reliable evaluation tools through survey. A representative sample size of about 1,500 enlisted men from all seven unit types was selected and surveyed considering types of unit, ranks, and regional characteristics. In the second, we analyse the results of level of stresses and stress reactions to distinguish high potential enlisted men who will happen to accident. Through the second step, we know enlisted men's stress reactions are different depending their unit types. Therefore the basic information about their stresses will be judged respectively according to their unit types. In the final step, we propose a notification service that offer the information about high potential enlisted men who will happen to accident to their managers rapidly through military Intranet and information systems. Their managers will get the previous information about occurrence of unexpected accidents and have time to check various things before they are occurred. We hope the proposed service contributes to prevent unexpected accidents and reduce the effort of military managers. Furthermore this paper offers several recommendations to apply the proposed service to Korean Army.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.2
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• pp.523-527
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• 2007

Previous studies reported that exposure to noise during pregnancy adversely influenced the development of the fetus and neonate. In Oriental medicine, medications based on Angelicae gigantis radix have been known to be of efficacy in the treatment of various diseases. c-Fos, an immediate early gene whose expression is sometimes used as a marker for stimulus-induced changes in the metabolic activity of neurons. In the present study, the influence of postnatal Angelicae gigantis radix administration on c-Fos expression in the each region of hippocampus of offspring rats with prenatal noise stress during pregnancy was investigated. From the present results, exposure to the prenatal stress during pregnancy enhanced c-Fox expression, whereas exposure to postnatal Angelice gigantis radix suppressed c-Fos expression in the offsprings with prenatal noise stress during pregnancy. Based on the present study, Angelicae gigantis radix may provide new therapeutic opportunities as an agent to counteract the effects of prenatal noise stress- induced hippocampal dysfunction, and may be useful in the treatment of psychiatric problems in children of mothers who have experienced noise stress during pregnancy.

• Computers and Concrete
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• v.15 no.4
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• pp.607-642
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• 2015

The stress-strain relationship of concrete in flexure is one of the essential parameters in assessing the flexural strength and ductility of reinforced concrete (RC) columns. An overview of previous research studies revealed that the presence of strain gradient would affect the maximum concrete stress developed in flexure. However, no quantitative model was available to evaluate the strain gradient effect on concrete under flexure. Previously, the authors have conducted experimental studies to investigate the strain gradient effect on maximum concrete stress and respective strain and developed two strain-gradient-dependent factors k3 and ko for modifying the flexural concrete stress-strain curve. As a continued study, the authors herein will extend the investigation of strain gradient effects on flexural strength and ductility of RC columns to concrete strength up to 100 MPa by employing the strain-gradient-dependent concrete stress-strain curve using nonlinear moment-curvature analysis. It was evident from the results that both the flexural strength and ductility of RC columns are improved under strain gradient effect. Lastly, for practical engineering design purpose, a new equivalent rectangular concrete stress block incorporating the combined effects of strain gradient and concrete strength was proposed and validated. Design formulas and charts have also been presented for flexural strength and ductility of RC columns.

• Journal of the Korean Society of Safety
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• v.26 no.3
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• pp.83-90
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• 2011

It is well known that urgency resulted from time stress can be a great cause to industrial accidents. Therefore, time stress has been studied in the aspect of macroscopic view, namely industrial safety management, but has not been studied in microscopic view such as psychophysiological approach. Among diverse psychophysiological indices, Electroencephalogram(EEG) would be on of the most objective psychophysiological research technique on human errors though few research has been taken yet. This study aimed to get characteristics of human error while committing a simple arithmetic addition task by utilizing the power spectrum technique of EEG data. Each experiment was composed of 2 tasks under different condition - with and without time stress. As subjects, 5 young undergraduate students in their early twenties participated in this study. The results advocated a well-known fact that time stress downgrades the performance of human workers. However, correct answer rate and response time were not significantly influenced by time stress factor which might be explained by the constructural factor adopted in the present study. As in the previous studies, among various EEG-related measures, relative band power ratios of ${\alpha}$ and ${\beta}$ waves to sum of ${\alpha}$,${\beta}$,${\theta}$ wave powers, namely $P_{{\alpha}/({\alpha}+{\beta}+{\theta})}$ and $P_{{\beta}/({\alpha}+{\beta}+{\theta})}$ seemed to be the most effective measures to grasp variation of brain activities in time-stressed situation so that discussions were expanded about their variations.

• Korean Journal of Metals and Materials
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• v.50 no.8
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• pp.583-589
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• 2012

This work is concerned with a statistical approach to the life prediction on irradiation-assisted stress corrosion cracking (IASCC) of stainless steel (SS) for core internals of a pressurized water reactor (PWR). The previous results of the time-to-failure of IASCC measured on neutron-irradiated stainless steel components were statistically analyzed in terms of stress and irradiation. The accelerating life testing model of IASCC of cold worked Type 316 SS was established based on an inverse power model with two stress-variables, the applied stress and irradiation dose. Considering the variation of the yield strength and applied stress with the irradiation dose in the model, the remaining life of the baffle former bolt was statistically predicted during operation under complex environments of stress and irradiation.

• Research in Community and Public Health Nursing
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• v.30 no.2
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• pp.195-205
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• 2019

Purpose: This study was conducted to identify effects of Medicaid Case Manager's communication competence and stress on their job satisfaction. Methods: The current work is descriptive research, and the participants were 154 medicaid case managers. Data were collected between May and July, 2017 through Embrain, a specialized research organization. The data were analyzed using independent t-test, ANOVA, and multiple regression. Results: The mean communication competence of the medicaid case managers was 3.61, stress 1.76, and their job satisfaction 2.74. Age and average monthly compensation brought significant differences in their job satisfaction. Their communication competence was correlated with stress (r=-.35, p<.001), but not with their job satisfaction. The stress was the most influential factor in job satisfaction (${\beta}=-.45$). Conclusion: The results of this work show that the medicaid case managers' communication competence was not an influence factor of their job satisfaction, which is different from implications from the previous studies and needs confirmation through future research. In addition the results of this study also suggest that stress management can be a useful approach to the improvement of medicaid case managers' job satisfaction.

• Journal of the Korean Wood Science and Technology
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• v.32 no.3
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• pp.33-41
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• 2004

In ancient wooden structures, the mechanical properties of the structural members have been reduced by time-dependent degradations such as fatigue or creep. Also, the external and internal deterioration was caused by environmental condition, fungi, bacteria, or insect, and then reduced the quality of structural members. However, the previous methods for evaluating the deterioration have been mainly depended on the visual inspection. In this study, therefore, ultrasonic stress wave test, accelerometer stress wave test were used to evaluate the deterioration of structural wood members in ancient wooden structures. Based on the results, the quantitative criteria of stress wave transmitted velocity were proposed to evaluate the deterioration of structural member. The proposed criteria were related to the degree of deterioration. In accelerometer stress wave, the criteria of deterioration of wave reciprocal velocity was below 1800 ㎲/m at incipient deterioration (below 12% ratio of deterioration), between 1800 and 2200 ㎲/m at moderate deterioration (12~17%) and above 2200 ㎲/m at severe deterioration (above 17%). The ultrasonic stress wave, the criteria of deterioration were 800 and 950 ㎲/m at below 8% and above 15% of the degree of deterioration respectively.

• Journal of Acupuncture Research
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• v.39 no.1
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• pp.64-69
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• 2022

The risk of stress fractures is associated with rheumatoid arthritis (RA), which can aggravate bone loss. We report the case of a patient who was on long-term medication for RA presenting with lower extremity pain on the left and swelling without trauma. Magnetic resonance imaging and plain radiographs at the previous hospital showed no signs of fracture, but radiographs performed later, revealed a stress fracture of the left distal tibia. The stress fracture may have occurred due to multiple reasons such as long-term use of methotrexate and glucocorticoids, active RA, postmenopausal state, and immobility. Suspicion of a stress fracture should not be ruled out especially in RA patients with persistent pain, even if the radiographical findings are normal. Additional imaging and follow-ups are essential. The patient's pain was relieved with Korean medicine treatments, which suggests their potential application for stress fractures in RA patients.

• Nuclear Engineering and Technology
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• v.56 no.10
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• pp.4149-4157
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• 2024

Welding processes are used to connect several components in nuclear power plants. These welding processes can induce residual stress in welding joints, which has been identified as a significant factor in primary water stress corrosion cracking. Consequently, the assessment of welding residual stress plays a crucial role in determining the structural integrity of welded joints. In this study, a deep fuzzy neural networks (DFNN) with a rule-dropout method, which is an artificial intelligence (AI) method, was used to predict the residual stress of dissimilar metal welding. ABAQUS, a finite element analysis program, was used as the data collection tool to develop the AI model, and 6300 data instances were collected under 150 analysis conditions. A rule-dropout method and genetic algorithm were used to optimize the estimation performance of the DFNN model. DFNN with the rule-dropout model was compared to a deep neural network method, known as a general deep learning method, to evaluate the estimation performance of DFNN. In addition, a fuzzy neural network method and a cascaded support vector regression method conducted in previous studies were compared. Consequently, the estimation performance of the DFNN with the rule-dropout model was better than those of the comparison methods. The welding residual stress estimation results of this study are expected to contribute to the evaluation of the structural integrity of welded joints.