• Fisheries and Aquatic Sciences
• /
• v.22 no.11
• /
• pp.25.1-25.9
• /
• 2019

Background: Due to the continuous demand for fish coupled with decline in capture fisheries, there is the need to increase aquaculture production to meet the demand. Aquaculture is faced with high cost of feeding since fish oil and fish meal are expensive. In view of this, there are calls to explore alternatives that are cheap and reliable. Objectives: This study on Oreochromis niloticus was conducted to evaluate the effects of replacing fish oil (FO) with palm oil (PO) at 0%, 25%, 50%, 75%, and 100% on muscle fatty acid and proximate composition as well as growthrelated enzyme activities and mRNA expression. Methods: Oreochromis niloticus were fed five experimental diets (33% crude protein and 10% crude lipid) for 8 weeks. Feed had variation in fish oil and palm oil contents. After the 8 weeks feeding trial, five fish were sampled from each tank (15 from each treatment) and euthanized using an excess dose of tricaine methane sulfonate (MS-222 at 200 mg/L). Fatty acid and enzyme activities were analyzed using standard protocols. Also, RT-qPCR was used to quantify the expression levels of selected growth-related genes. Results: Fish fed 25% PO recorded the least muscle protein content and was significantly lower than the group fed 100% PO. Paired box protein 7 (Pax-7) enzyme activity was significantly higher in the group fed 50% PO compared to the groups fed 25% PO and 100% PO, while caplain-3 (Capn-3) was significantly lower in the group fed 0% PO compared to all other groups. There was a significant difference among treatments with respect to mRNA expression of Pax-7 and Capn-3. Group fed 25% PO had significantly lower mRNA expression of Pax-7, while the group fed 75% PO recorded significantly higher mRNA expression of Capn-3 compared to groups fed 0% PO, 25% PO, and 100% PO. Pearson's correlation analysis revealed that Igf-I and Igf-II mRNA expression have significant correlation with n-3 polyunsaturated fatty acids content in muscle. Conclusion: The results suggest muscle protein content could be modified if FO is replaced with PO. Also, mRNA expression of Pax-7 and Capn-3 is affected by replacing FO with PO.

• Korean Journal of Environmental Agriculture
• /
• v.34 no.4
• /
• pp.282-287
• /
• 2015

BACKGROUND: The current study was carried out to investigate Cd, Hg, Pb and As contaminations in 222 commercial medicinal plants and to estimate the potential health risk through dietary intake of commercial medicinal plants in Korea.METHODS AND RESULTS: The Cd, Hg, Pb, and As in medicinal plants were analyzed by ICP/MS and mercury analyzer.The potential health risk was estimated using risk assessment tools. Total amount of Cd in medicinal plants with 29% samples exceeded the standard limit legislated in 'Pharmaceutical Affairs Act' while all plant samples were lower than the standard limit value for As, Hg, and Pb. However, when applying the standard limit for root vegetable (fresh weight) in the Food Sanitation Act, four samples exceeded the standard limit of Pb. For health risk assessment, the values of cancer risk probability were 0.3~5.9×10^-7which were less than the acceptable cancer risk of 10^-6~10^-4for regulatory purpose. Also, Hazard quotientvalues were lower than 1.0.CONCLUSION: Therefore, these results demonstrated that human exposure to Cd, Hg, Pb, and As through dietary intake of commercial medicinal plants might notcause adverse health effects although some medicinal plants were higher than the standard limit values for Cd and Pb.

• Korean Journal of Medicinal Crop Science
• /
• v.3 no.3
• /
• pp.217-225
• /
• 1995

In this study the essential oil and pharmacologically active components of different valerian species (Valeriana fauriei var. dasycarpa Hara and V. officinalis L. from Korea and V. wallichii DC from Nepal) were analyzed to search for native plant resources that can be used for medicinal herb and tobacco flavoring. The oil contents in dry roots of V. fauriei, V. officinalis and V. walhchii were 1. 71%, 0. 82% and 0. 83 %, respectively. The composition of the essential oil among different valerian species was compared. In V. fauriei 47 compounds were identified, while 21 and 25 compounds were identified in V. officinalis and V. wallichii. The major compounds in the oil of V. fauriei were bornyl acetate (33.8%) and camphene (10.8%), cedrol (4. 1 %), -pinene (3. 2%) and unidentified sesquiterpene alcohol (3. 0%). The major compounds were borneol (62. 5%) and ${\beta}-sesquiphelandrene$(6. 8%) and spathulenol (2. 1%) in V. officinalis, and borneol (74. 3%) and ${\alpha}-elemene$ (2.7%) and -sesquiphellandrene (2. 3%) in V. wallichii. Among the components known as major pharmacologically active compounds in European or Japanese valerian roots, valeranone, valerenal and -kessyl acetate was detected in a small amount in V. fauriei, but kessoglycol diacetate was not detected in V. faudei and V. officinalis Among the valepotrate compounds, major pharmacologically active components in V. wallichii, valtrate was detected in a small amount in V. fauriei and V. officinalis., and detected 1. 42% in V. wallichii. Didrovaltrate was also detected in the three valerian species tested, but acevaltrate was not detected except V. wallichii. On the other hand, antioxidative activity was slightly higher in V. fauriei than those of V. officinalis.

• Journal of KIISE:Information Networking
• /
• v.32 no.3
• /
• pp.279-290
• /
• 2005

Recently, as the serious damage caused by DDoS attacks increases, the rapid detection and the proper response mechanisms are urgent. However, existing security mechanisms do not effectively defend against these attacks, or the defense capability of some mechanisms is only limited to specific DDoS attacks. In this paper, we propose a detection architecture against DDoS attack using data mining technology that can classify the latest types of DDoS attack, and can detect the modification of existing attacks as well as the novel attacks. This architecture consists of a Misuse Detection Module modeling to classify the existing attacks, and an Anomaly Detection Module modeling to detect the novel attacks. And it utilizes the off-line generated models in order to detect the DDoS attack using the real-time traffic. We gathered the NetFlow data generated at an access router of our network in order to model the real network traffic and test it. The NetFlow provides the useful flow-based statistical information without tremendous preprocessing. Also, we mounted the well-known DDoS attack tools to gather the attack traffic. And then, our experimental results show that our approach can provide the outstanding performance against existing attacks, and provide the possibility of detection against the novel attack.