• Journal of Nutrition and Health
• /
• v.52 no.3
• /
• pp.243-249
• /
• 2019

Purpose: Platycodon grandiflorum (PG) is known to have effective antimicrobial and anticancer activity. The main bioactive components of PG are saponins, and these could contribute to anti-inflammatory activity. However, little is known about the anti-inflammatory effect of PG. In this study, we aim to assess the anti-inflammatory response to Red PG Extract (RPGE) in splenocytes under ex vivo conditions. Methods: The cell viability of isolated splenocytes taken from mice was analyzed by performing a Cell Counting Kit-8 assay. The productions of nitric oxide (NO) and cytokines (specifically interleukin-6 (IL-6) and interleukin-10 (IL-10)) were measured utilizing Griess reagent and ELISA, respectively. Results: We found that co-treatment with RPGE and Lipopolysaccharide (LPS) decreased isolated splenocyte proliferation as compared with that of the LPS-stimulated control. We also observed that RPGE markedly suppressed NO synthesis and IL-6 production that was induced by LPS. There were no significant differences of IL-10 production between co-treatment with RPGE plus LPS and treatment with LPS alone. Conclusion: When taken together, our data has shown that RPGE mitigates LPS-induced inflammation in splenocytes isolated from mice. Further research is surely needed to confirm the anti-inflammation effects of RPGE in an in vivo model.

• Resources Recycling
• /
• v.29 no.6
• /
• pp.15-26
• /
• 2020

In recent years, there is an increasing interest in environmental friendly treatment of waste-plastics in terms of the generation of microplastics. Accordingly, the recycling of waste-plastics is very important because it provides advantages of volume reduction, mitigation of carbon dioxide emission, and reproduction of value-added products. In particular, in order to recycle the eco-friendly waste-plastics, it is necessary to use a physical separation methods, and among them, flotation separation, which can separate material (i.e., polymer component) in waste-plastics is well known as a very effective separation method in terms of material recycle. Therefore, in this review, the research trend of flotation separation for effective separation of mixture waste-plastics was investigated. In addition, through the reported research results, approaches to use as new functional materials from polymers, which are raw materials for waste-plastics, are summarized.

• Korean Journal of Environmental Agriculture
• /
• v.39 no.4
• /
• pp.297-304
• /
• 2020

BACKGROUND: Emission of nitrous oxide (N2O) from the soil is expected to depend on the types of nitrogen fertilizer used. Biochar has recently been proposed as a potential mitigation of climate change by reducing the N2O emission. Although laboratory studies reported that biochar applications could reduce N2O emission, the number of field-based studies is still limited. Therefore, a field experiment was conducted to investigate the effect of biochar on N2O emission when different nitrogen fertilizers were applied in corn cultivated field. METHODS AND RESULTS: The field experiment consisted of six treatments: urea fertilizer without biochar (U), ammonium sulfate fertilizer without biochar (A), oil cake fertilizer without biochar (O), urea fertilizer with biochar (U+B), ammonium sulfate fertilizer with biochar (A+B), and oil cake fertilizer with biochar (O+B). Biochar was applied at a rate of 10 t/ha. Greenhouse gas fluxes were measured during growing seasons using static vented chambers. The cumulative N2O emissions were 0.99 kg/ha in the U, 1.23 kg/ha in the A, 3.25 kg/ha in the O, 1.19 kg/ha in the U+B, 0.86 kg/ha in the A+B, and 1.55 kg/ha in the O+B. CONCLUSION: It was found that N2O emission was related to application of both nitrogen fertilizer type and biochar. In particular, the N2O reduction effect was the highest in the corn field incorporated with biochar when oil cake was applied to the soil.

• Journal of the Korea Organic Resources Recycling Association
• /
• v.30 no.4
• /
• pp.141-150
• /
• 2022

To abate the environmental burden derived from the massive generation of cattle manure (CM), pyrolysis of CM was suggested as one of the methods for manure treatment. In respect of carbon utilization, pyrolysis has an advantage in that it can produce usable carbon-based chemicals. This study was conducted to investigate a syngas production from pyrolysis of CM in CO₂ condition. In addition, mechanistic functionality of CO₂ in CM pyrolysis was investigated. It was found that the formation of CO was enhanced at ≥ 600 ℃ in CO2 environment, which was attribute to the homogeneous reactions between CO₂ and volatile matters (VMs). To expedite reaction kinetics for syngas production during CM pyrolysis, Catalytic pyrolysis was carried out using Co/SiO2 as a catalyst. The synergistic effects of CO₂ and catalyst accelerate the formation of H₂ and CO at entire temperature range. Thus, this result offers that CO₂ could be a viable option for syngas production with the mitigation of greenhouse gas.

• Health Policy and Management
• /
• v.31 no.1
• /
• pp.114-124
• /
• 2021

Background: In this study, we aimed to investigate the interaction effects of individual socioeconomic status and regional deprivation on the onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients. Methods: Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 50,954 patients newly diagnosed with type 2 diabetes from 2004 to 2012 and aged 30 years or above were included. We classified patients into six groups according to individual income level and neighborhood deprivation: 'high in advantaged,' 'high in disadvantaged,' 'middle in advantaged,' 'middle in disadvantaged,' 'low in advantaged,' and 'low in disadvantaged.' We calculated hazard ratios (HR) of onset of diabetes complication and diabetes-related hospitalization using the Cox proportional hazard model, with the reference group as diabetes patients with high income in advantaged regions. Results: In terms of the interaction effects of individual income level and regional socioeconomic level, even with the same low individual income level, the group with a high regional socioeconomic level (low in advantaged) showed low HRs for the onset of diabetes complication (HR, 1.04; 95% confidence interval [CI], 1.00-1.08) compared to the 'low in disadvantaged' group (HR, 1.10; 95% CI, 1.05-1.16). In addition, the 'high in advantaged' group showed slightly higher HRs for the onset of diabetes complication (HR, 1.06; 95% CI, 1.00-1.11) compared to the 'low in advantaged' and it appeared to be associated with slight mitigation of the risk of diabetes complication. For the low-income level, the patients in disadvantaged regions showed the highest HRs for diabetes-related hospitalization (HR, 1.29; 95% CI, 1.19-1.41) compared to the other groups. Conclusion: Although we need to perform further investigations to reveal the mechanisms that led to our results, interaction effects individual socioeconomic status and regional deprivation might be associated with on onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients.

• KIPS Transactions on Computer and Communication Systems
• /
• v.12 no.3
• /
• pp.111-118
• /
• 2023

Cyber attacks are increasing worldwide, and attacks on personal privacy such as CCTV and IP camera hacking are also increasing. If you search for IP camera hacking methods in spaces such as YouTube, SNS, and the dark web, you can easily get data and hacking programs are also on sale. If you use an IP camera that has vulnerabilities used by hacking programs, you easily get hacked even if you change your password regularly or use a complex password including special characters, uppercase and lowercase letters, and numbers. Although news and media have raised concerns about the security of IP cameras and suggested measures to prevent damage, hacking incidents continue to occur. In order to prevent such hacking damage, it is necessary to identify the cause of the hacking incident and take concrete measures. First, we analyzed weak account settings and web server vulnerabilities of IP cameras, which are the causes of IP camera hacking, and suggested solutions. In addition, as a specific countermeasure against hacking, it is proposed to add a function to receive a notification when an IP camera is connected and a function to save the connection history. If there is such a function, the fact of damage can be recognized immediately, and important data can be left in arresting criminals. Therefore, in this paper, we propose a method to increase the safety from hacking by using the connection notification function and logging function of the IP camera.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.5B
• /
• pp.501-509
• /
• 2006

The safety of levee that depends on the river flood elevation has been regarded as very important keys to build up various flood prevention systems. However, deterministic methods for computation of water surface profile cannot reflect the effect of possible inaccuracies in the input parameters. The purpose of this study is to develop a methodology of uncertainty computation of design flood level based on steady flow analysis and Monte Carlo simulation. This study addresses the uncertainty of water surface elevation by Manning's coefficients, design discharges, river cross sections and boundary condition. Monte Carlo simulation with the variations of these parameters is performed to quantify the variations of water surface elevations in a river. The proposed model has been applied to the Kumho-river. The reliability analysis was performed within 38.5 km (95 sections) reach considered the variations of the above-mentioned parameters. Overtopping risks were evaluated by comparing the elevations of the flood condition with the those of the levees. The results show that there is a necessity which will raise the levee elevation between 1 cm and 56 cm at 7 sections. The model can be used for preparing flood risk maps, flood forecasting systems and establishing flood disaster mitigation plans as well as complement of conventional levee design.

• Journal of The Korean Society of Integrative Medicine
• /
• v.11 no.4
• /
• pp.73-82
• /
• 2023

Purpose : Cymbopogon citratus, also known as lemongrass, has widely spread around the world and its essential oil is usually applied in food, perfume, and other industrial purposes. In addition, C. citratus has also been used for the treatment of inflammation, digestive disorders, and diabetes in traditional medicine. In this study, the antioxidative activity of C. citratus ethanol extract (CCEE) was analyzed in RAW 264.7 cells through the induction of one of phase II enzymes, heme oxygenase (HO)-1 by nuclear factor-erythroid 2 p45-related factor (Nrf)2, mitogen-activated protein kinase (MAPK), and phosphoinositide 3-kinase (PI3K)/Akt. Methods : The antioxidative activity of CCEE against oxidative stress and its underlying molecular mechanisms were analyzed by the cell viability assay, intracellular reactive oxygen species (ROS) formation assay, and Western blot analysis in RAW 264.7 cells. Results : The results exhibited that CCEE potently attenuated tert-butyl hydroperoxide (t-BHP) induced intracellular ROS levels in a dose-dependent manner without any cytotoxicity. CCEE treatment significantly induced the expression of HO-1 which is known for its antioxidative capacity. In addition, CCEE treatment significantly upregulated the expression of Nrf2, a corresponding transcription factor for the regulation of antioxidative enzymes, which was in accordance with the HO-1 overexpression. MAPK and PI3K/Akt were also evaluated for their important roles in the regulation of cellular redox homeostasis against oxidative damage. As a result, the potent HO-1 expression was mediated by not extracellular regulated kinase (ERK), c-Jun NH2 terminal kinase (JNK), p38, but phosphoinositide 3-kinase (PI3K) phosphorylation. To confirm the antioxidative activity of CCEE-induced HO-1 expression, oxidative damage was initiated by t-BHP and attenuated by CCEE treatment, which was identified by HO-1 selective inhibitor and inducer. Conclusion : Consequently, CCEE potently induced the HO-1-mediated antioxidative potential through the modulation of Nrf2 and PI3K/Akt signaling pathways in RAW 264.7 cells. These results suggest that CCEE could be a promising strategy for the mitigation against cellular oxidative damage.

• Korean Journal of Environment and Ecology
• /
• v.37 no.5
• /
• pp.337-346
• /
• 2023

Although wildlife bridge are built as a way to reduce habitat fragmentation caused by road construction, there is still a lot of debate about their effectiveness. Monitoring methods such as footprint traps and camera traps are used evaluate the effectiveness of wildlife bridge, but there is a limit to evaluate of effectiveness. In this study, the degree of use the wildlfe bridge was surveyed by striped field mouse that is likely use the wildlife bridge and surrounding as a habitat with capture-mark-recapture method.(Apodemus agraius). The distance and route of movement were identified by connecting the capture points, and the environmental factors on the use of the wildlife bridge implemented a generalized linear model(GLM) with the capture number of captured as a dependent variable. Consequently of capture, no individuals crossing the wildlife bridge, striped field mouse use the wildlife bridge as a habitat.The environmental factors affecting the use of mice were vegetation cover(1~2m, 2~8m, over 8m), vegetation construction, maximum diameter at breast height were positively correlated and slope was nagatively correlated. In conclusion, it is expected that the effectiveness of the wildlife bridge will be further improved by planting shrubs and trees and preventing high slope and cut slope increasing the utilization of the rat, such as being used as a food source in the ecosystem.

• Journal of Industrial Convergence
• /
• v.21 no.9
• /
• pp.41-48
• /
• 2023

Recently, there has been a sharp increase in the damages caused by ransomware across various sectors of society, including individuals, businesses, and nations. Ransomware is a malicious software that infiltrates user computer systems, encrypts important files, and demands a ransom in exchange for restoring access to the files. Due to its diverse and sophisticated attack techniques, ransomware is more challenging to detect than other types of malware, and its impact is significant. Therefore, there is a critical need for accurate detection and mitigation methods. To achieve precise ransomware detection, an inference engine of a detection system must possess knowledge of ransomware features. In this paper, we propose a model to extract and classify the characteristics of ransomware for accurate detection of ransomware, calculate the similarity of the extracted characteristics, reduce the dimension of the characteristics, group the reduced characteristics, and classify the characteristics of ransomware into attack tools, inflow paths, installation files, command and control, executable files, acquisition rights, circumvention techniques, collected information, leakage techniques, and state changes of the target system. The classified characteristics were applied to the existing ransomware to prove the validity of the classification, and later, if the inference engine learned using this classification technique is installed in the detection system, most of the newly emerging and variant ransomware can be detected.