• Industrial Engineering and Management Systems
• /
• v.12 no.2
• /
• pp.74-84
• /
• 2013

Modern companies have been facing devastating impacts from unexpected events such as demand uncertainties, natural disasters, and terrorist attacks due to the increasing global supply chain complexity. This paper proposes a multi stage logistic network model under disruption risk. To formulate the problem practically, we consider the effect of continuity rate, which is defined as a percentage of ability of the facility to provide backup allocation to customers in the abnormal situation and affect the investments and operational costs. Then we vary the fixed charge for opening facilities and the operational cost according to the continuity rate. The operational level of the company decreases below the normal condition when disruption occurs. The backup source after the disrup-tion is recovered not only as soon as possible, but also as much as possible. This is a concept of the business continuity plan to reduce the recovery time objective such a continuity rate will affect the investments and op-erational costs. Through numerical experiments, we have shown the proposed idea is capable of designing a resilient logistic network available for business continuity management/plan.

• Toxicological Research
• /
• v.26 no.2
• /
• pp.123-130
• /
• 2010

The effect of DHU001, a mixed herbal formula consisted of 7 types aqueous extracts for various respiratory disorders were evaluated on 2,4-dinitrofluorobenzene (DNFB)-induced contact dermatitis, type I allergic model. Contact dermatitis was induced by sensitization with dinitrophenyl-derivatized ovalbumin (DNP-OVA) and DNFB challenge as antigen. Two different dosages of DHU001 (300 and 150 mg/kg) were orally administered to DNP-OVA sensitization mice once a day for 7 days with reference material, dexamethasone (15 mg/kg, intraperitoneal treatment). End of 7 days oral administration of DHU001 extracts or intraperitoneal treatment of dexamethasone, the changes on the edematous changes and scratching behavior were measured. Immediate after DNFB challenge on ear or paw of DNP-OVA sensitized mice, increases of ear and paw thicknesses and weights were detected with anterior ear skin (dermis to epidermis) thickness and paw scratching behavior increases. However, these contact dermatitis signs induced by DNFB treatment were reduced by treatment of the both different dosages of DHU001 and dexamethasone, respectively. The results obtained in this study suggest that oral treatment of DHU001 extracts also has relatively favorable effects on contact dermatitis.

• Microbiology and Biotechnology Letters
• /
• v.50 no.4
• /
• pp.512-521
• /
• 2022

Since the main symptoms of COVID-19 involve the respiratory system, the infection rate of this disease is predicted to be higher in patients with other respiratory conditions such as allergic rhinitis. In such a situation, it will be meaningful to conduct research on an allergy treatment that has fewer side effects and can effectively reduce allergy symptoms. Here, we prepared experimental samples under various fermentation conditions with mixed extracts of six medicinal plants. To examine the anti-allergic efficacy of these samples, an egg albumin-induced allergic rhinitis animal model experiment, a serum histamine and IgE experiment, and a COX and LO inhibitory activity experiment were conducted. As a result of animal experiments, OVA+SP-4 showed superior efficacy compared to OVA+SP-1 in nasal rubbing and sneezing experiments and had anti-allergic efficacy similar to that of OVA-cetirizine. The serum histamine concentration of OVA+SP-4 was also 1.3 times higher than that of the OVA+cetirizine group, showing a high histamine reduction ability, and IgE showed the same trend. An analysis of COX inhibitory efficacy also confirmed that COX-1 and COX-2 inhibitory efficacy is high, and the longer the fermentation time, the higher the antiallergic efficacy. The composition proposed by this study is expected to have a significant effect on sustainable allergy prevention and treatment in the future by applying it to human patients.

• Korean Journal of Organic Agriculture
• /
• v.24 no.4
• /
• pp.957-967
• /
• 2016

The present study was conducted to investigate effect of dietary protected amino acid on milk yield and composition in dairy cow using meta-analysis. Total 21 research papers were employed in analysis, and mixed model was used for the analysis of effects. Effect of protected methionine (PM) and combination of protected methionine and lysine (PML) were investigated under two different levels of dietary crude protein (CP, <18% and >18%). For performance of dairy cow, milk yield, milk composition including milk fat and protein content and yield and 4% FCM (fat corrected milk) production were used for analysis. In case of milk yield, a trend of increment was found at PM supplementation at low CP (P=0.055). However, the effect of PM at high CP was detected as not significant (P>0.05). In case of milk protein, inclusion of PM at low CP showed significant decrement (P<0.05). However, there was no significant effect of MP on milk protein at high CP (P>0.05). Supplementation of MP at high CP level showed significant increment of milk fat (P<0.05). MP supplementation represented significant increment of 4% FCM production (P<0.05) regardless of dietary CP levels. Effects of PML on milk yield and composition at both of low and high dietary CP were not significant in this study. However, it seem to be that there was a possible positive effect of MPL application at high dietary CP on performance of dairy cow.

• YAKHAK HOEJI
• /
• v.56 no.1
• /
• pp.20-25
• /
• 2012

In Northeast Asia, Paeoniae Radix has been used in treatments of inflammation-causing diseases such as arthritis for many centuries. Paeoniflorin, one of the principle bioactive monoterpene glucosides from the paeony root, is reported to be mostly responsible for the effectiveness of the treatments. However, the anti-inflammatory effect of a monoterpene, paeoniflorigenone (PFG) which partially has the moiety of paeoniflorin minus a glucose structure is unknown. Thus, the aim of this work was to investigate anti-inflammatory activity of PFG. For the investigation, PFG activity on the NO (nitric oxide) production from LPS-stimulated macrophages, and the anti-inflammatory effect was tested in the animal model of septic arthritis caused by Candida albicans, a major etiological agent for septic arthritis. For induction of the arthritis, mice were administered with an emulsion of C. albicans cell wall (CACW) mixed with Complete Freund's Adjuvant (CFA) via footpad-injection (Day 0); PFG at a dose of 0.5 or 1 mg/mouse (25 or 50 mg/kg of body-weight) was given to the animals on Day 3, 6, and 9; footpads were scored for arthritis. Moreover, the PFG effect on proliferation of T-lymphocyte that causes aggravation of arthritis was additionally tested. Data resulting from those tests showed that PFG inhibited the NO production from the stimulated macrophage in a dose dependent manner (P<0.05), indicating that PFG is an anti-inflammatory. To confirm the in-vitro results, anti-inflammatory activity of PFG was determined against C. albicans-caused septic arthritis. Data showed that PFG-treatment reduced footpad-swelling which indicates that PFG has anti-arthritic effect (P<0.05), which is therapeutic. The anti-arthritic effect appeared to be mediated by PFG suppression of T-cell proliferation. Ultimately, PFG, a monoterpene component, has anti-inflammatory activity analogous to paeoniflorin. The anti-inflammatory activity treats the septic arthritis due to a pathogenic fungus C. albicans.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.4
• /
• pp.138-142
• /
• 2018

This study used HILS to test an expansion joint, which is vulnerable to the water hammer effect. The operation data for the HIL simulator was the length rate of the expansion joint by the water hammer, which was used for life prediction based on the vibration durability. For the vibration durability test, the internal pressure of the expansion joint was assumed to be a factor of the durability life, and the lifetime prediction model equation was obtained by curve fitting the lifetime data at each pressure. During the test, the major failure modes of crack and water leakage occurred on the surface of the bellows part. The lifetime prediction model typically follows an inverse power law model. The pressure is a stress factor, and the model is effective in only a specific environment. Therefore, another stress factor such as temperature will be added and considered for a mixed lifetime prediction model in the future.

• Journal of Korea Water Resources Association
• /
• v.44 no.6
• /
• pp.477-486
• /
• 2011

The objective of this study is to investigate the water pollution problems brought about by the construction of eco-friendly waterfront space through the physical model experiment including water quality consideration. Due to the lack of water supply into the artificial ponds and canals, the water quality problems such as eutrophication, odor and so on can be occurred. There have been many numerical models on such phenomena but limited studies using physical test due to the difficulty in the verification of physical interpretation of the study area. In this study, a prototype model that is not affected by the dimensionless parameters was carried out, where unpolluted water is mixed into the contaminated water to reduce the concentration of nutrients. In addition, this study also attempt to find the optimal configuration of the flow induction machines using the scale model which will evaluate and verify the effectiveness of the enforcement methods to maintain the water quality objectives.

• Earthquakes and Structures
• /
• v.16 no.3
• /
• pp.349-358
• /
• 2019

Long span cable-stayed bridges are extremely vulnerable to dynamic excitations such as which caused by traffic load, wind and earthquake. Studies on cable-stayed bridge vibration control have been keenly interested by researchers and engineers in design new bridges and assessing in-service bridges. In this paper, a novel Hybrid-Tuned Mass Damper (H-TMD) is proposed and a hybrid control model named Mixed Logic Dynamic (MLD) is employed to build the bridge-H-TMD system to mitigate the vibrations. Firstly, the fundamental theory and modeling process of MLD model is introduced. After that, a new state switching design of the H-TMD and state space equations for different states are proposed to control the bridge vibrations. As the state switching designation presented, the H-TMDs can applied active force to bridge only if the structural responses are beyond the limited thresholds, otherwise, the vibrations can be reduced by passive components of dampers without active control forces provided. A new MLD model including both passive and active control states is built based on the MLD model theory and the state switching design of H-TMD. Then, the case study is presented to demonstrate the proposed methodology. In the case study, the control scheme with H-TMDs is applied for a long span cable-stayed bridge, and the MLD model is established and simulated with earthquake excitation. The simulation results reveal that the suggested method has a well damping effect and the established system can be switched between different control states as design excellently. Finally, the energy consumptions of H-TMD schemes are compared with that of Active Tuned Mass Damper (ATMD) schemes under variable seismic wave excitations. The compared results show that the proposed H-TMD can save energy than ATMD.

• Journal of the Korean Society of Propulsion Engineers
• /
• v.22 no.6
• /
• pp.84-93
• /
• 2018

Three-dimensional (3D) numerical simulations have been carried out to study how coolant injection conditions influence the cooling efficiency and projectile ejection performance in a mixture-gas ejection system (or gas-steam launch system). The 3D single-phase computational model was verified using a 1D model constructed with reference to the previous research and then a two-phase flow computation simulating coolant injection on to hot gas was performed using a DPM (Discrete Phase Model). As a result of varying the coolant flow rate and number of injection holes, cooling efficiency was improved when the number of injection holes were increased. In addition, the change of the coalescence frequency and spatial distribution of coolant droplets caused by the injection condition variation resulted in a change of the droplet diameter, affecting the evaporation rate of coolant. The evaporation was found to be a critical factor in the design optimization of the ejection system by suppressing the pressure drop while the temperature decreases inside the breech.

• The Korean Journal of Physiology and Pharmacology
• /
• v.28 no.2
• /
• pp.121-127
• /
• 2024

Vancomycin is a frequently used antibiotic in intensive care units, and the patient's renal clearance affects the pharmacokinetic characteristics of vancomycin. Several advantages have been reported for vancomycin continuous intravenous infusion, but studies on continuous dosing regimens based on patients' renal clearance are insufficient. The aim of this study was to develop a vancomycin serum concentration prediction model by factoring in a patient's renal clearance. Children admitted to our institution between July 1, 2021, and July 31, 2022 with records of continuous infusion of vancomycin were included in the study. Sex, age, height, weight, vancomycin dose by weight, interval from the start of vancomycin administration to the time of therapeutic drug monitoring sampling, and vancomycin serum concentrations were analyzed with the linear regression analysis of the mixed effect model. Univariable regression analysis was performed using the vancomycin serum concentration as a dependent variable. It showed that vancomycin dose (p < 0.001) and serum creatinine (p = 0.007) were factors that had the most impact on vancomycin serum concentration. Vancomycin serum concentration was affected by vancomycin dose (p < 0.001) and serum creatinine (p = 0.001) with statistical significance, and a multivariable regression model was obtained as follows: Vancomycin serum concentration (mg/l) = -1.296 + 0.281 × vancomycin dose (mg/kg) + 20.458 × serum creatinine (mg/dl) (adjusted coefficient of determination, R² = 0.66). This prediction model is expected to contribute to establishing an optimal continuous infusion regimen for vancomycin.