• Journal of Environmental Health Sciences
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• v.11 no.2
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• pp.41-54
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• 1985

This study was conducted for the improvement of milk quality and milk hygiene in public health point of view. Investigation of mastiris infection rate, isolation and identification of causative microorganisms in CMT positive milk, investigation of milk contamination level by measuring the bacteria and soma tic cell counts and investigation of dairy management in farms were performed on 1.605 quarters milk of 434 cows of 20 dairy farms in Gyunggi-area from September 1983 to March 1984. The results were summarized as follows 1. Sixteen (3.7%) of 434 cows were found to be infected with clinical mastiris. 234 (53.9%) of 434 cows and 608(37.9%) of 1, 605 quarters were found to be infected with subclinical mastiris. 2. The causative microorganisms isolated were Staphylococcus aureus (38.3%), Staphylococcus epidermidis(21.0%), Micrococci(13.6%), Streptococcus spp. (12.3%), E. coli (7.4%), Fungus & Yeast (1.6%) and others (5.8%). 3. Total numbers of bacteria were $9.2{\times}10^6$ to $1.21{\times}10^7/ml$(av. $1.805{\times} 10^7/ml$), numbers of coliform bacteria were $4.1{\times} 10^5$ to $9.4{\times} 10^5$/ml(av. $7.05{\times} 10^5$/ml) and somatic cell counts were $4.8{\times} 10^5$ to $1.52{\times} 10^6$ cells/ml (av. $9.5{\times} 10^5$cells/ml) in bulk milk. 4. As comparing with CMT score of +, ++ and +++, somatic cell counts were $3.4{\times} 10^5$ to $1.64{\times} 10^6$ cells/ml (av. $6.41{\times} 10^5$cells/ml), $5.4{\times} 10^5$ to $2.75{\times} 10^6$ cells/ml(av. $1.762{\times} 10^6$cells/ml) and $1.97{\times} 10^6$ to $9.75{\times} 10^6$ cells/ml(av. $7.781{\times} 10^6$cells/ml), respectively. 5. In investigation on dairy management, performance of dry cow therapy, teat dipping after milking, disinfection of milking machine at every milking, replacement of milk liner within 6months and opportunity of acquirement for the mastiris control techniques by dairy education were 65%, 40%, 45%, 55% and 50% in 20 dairy farms, respectively.

• Journal of Acupuncture Research
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• v.23 no.3
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• pp.47-56
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• 2006

Methods : 40 of Female rats were allowed to mate with 40 of male rats. Then, female rats were delivered of offspring rats, After birth 28 days, offspring rats were divided 8 groups, The normal group(Group A), the 10 mg/kg Angelicae gig antis radix~treated group(Group B), the 50 mg/kg Angelicae gigantis radix-treated group(Group C), the 100 mg/kg Angelicae gig antis radix-treated group(Group D), The control (noise-treated) group(Group E). the noise -10 mg/kg Angelicae gigantis radix-treated group(Group F), the noise-50 mg/kg Angelicae gigantis radix~treated group(Group G), and the noise-100 mg/kg Angelicae gigantis radix-treated group(Group H)(n = 5 in each group), From the 15th day of pregnancy, all rats were subcutaneously injected with 50 mg/kg BrdU once a day 30 min before the starting of experimental treatment. Rats of the prenatal noise-treated group were applied with 95 decibel supersonic machine sound for 1h once a day until delivery, After birth 28 days, offspring rats intraperitoneally injected with 50 mg/kg of BrdU and offspring rats were treated Angelicae gigantis radix Herb-acupunture on chungwan(CV12) for 7 consecutive days. For the detection of BrdU-positive cells and Ki-67 positive cells in hippocampus, immunohistochemistry was performed. Results : 1. The number of BrdU-positive cells in the dentate gyrus of noise-treated group was significantly decreased to normal group, and the Group F, G, H were significantly increased to control group. 2. The number of Ki-67 positive cells in the dentate gyrus of noise-treated group was significantly decreased to control group, and the Group G, H were significantly increased to control group. Conclusion : We concluded that postnatal Angelicae gigantis radix administration has effect on cell proliferation in offspring rats with prenatal noise stress during pregnancy.

• Korean Journal of Food Science and Technology
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• v.22 no.2
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• pp.192-198
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• 1990

Texture, losses of total solids and proteins o) soybeans were studied during cooking at $100-135^{\circ}C$. The textural changes were measured using the puncture probe with an Instron Universal Testing Machine, and changes in microstructure of beans were observed with scanning electron microscopy during the cooking. The major effect observed was a breakdown of the cell walls and appearance of the protein bodies with soaking process. As the cooking time at $100^{\circ}C$ is longer, the separation of cells and changes in cell shape could be seen in the sample. The greater amounts of soluble solids were leached out with longer coo king time from the beans.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.25 no.3
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• pp.510-519
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• 2001

The tensile and fracture toughness tests have been conducted to investigate the degradations of mechanical properties induced mainly by neutron irradiations in Zr-2.5Nb CANDU pressure tube materials operated in Wolsung Unit-1. the tests were performed at room, 150, 200, 250, 300 $\^{C}$ for the irradiated and unirradiated specimens in hot cell. The specimens were directly machined from the tube retaining original curvature using specially designed electric discharge machine(EDM). From the tensile tests of the irradiated specimens, it was found that tensile strength was increased and total elongation was decreased compared to those of the unirradiated ones. The active voltages in the fracture toughness tests for the irradiated showed the discontinuous abrupt increases caused by crack jumping in lower temperature. In the crack resistance curves we found the stable crack growth in the unirradiated, whereas the unstable and three crack growth stages in the irradiated specimens due to the accumulated irradiation defects. The various fracture characteristic values in the irradiated are remarkably lower than those of the unirradiated. Through the fractography, we found in the irradiated that smaller dimple and shorter fissures than the unirradiated, and that the fractured surface had three regions that were flat, transition and slant/shear area. These can explain the difference in the crack growth characteristic values of the irradiated and the unirradiated ones.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.5
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• pp.86-92
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• 2016

In this study, we used a polymer deposition system, based on fused deposition modeling, to fabricate the 3D scaffold and then fabricated micro-pores on a 3D scaffold using a salt leaching method. Materials included polycaprolactone (PCL) and sodium chloride (NaCl). The 3D porous scaffolds were fabricated according to blending ratio such as PCL (70 wt%)/NaCl (30 wt%) and PCL (50 wt%)/NaCl (50 wt%). The 3D porous scaffolds were observed by scanning electron microscopy. The results showed that 3D porous scaffolds had a deposition width of $500{\mu}m$, contained a pore size of $500{\mu}m$ and below $100{\mu}m$. To evaluate the 3D porous scaffolds for bone tissue engineering, we carried out the cell proliferation experiment using a CCK-8 and a mechanical strength test using a universal testing machine. In summary, the 3D porous scaffold was found to be suitable for cancellous bone of human in accordance with the result of in-vitro cell proliferation and mechanical strength. Thus, a 3D porous scaffold could be a promising approach for effective bone regeneration.

• Journal of Ginseng Research
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• v.42 no.1
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• pp.98-106
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• 2018

Panax ginseng has been used since ancient times based on the traditional Asian medicine theory and clinical experiences, and currently, is one of the most popular herbs in the world. To date, most of the studies concerning P. ginseng have focused on specific mechanisms of action of individual constituents. However, in spite of many studies on the molecular mechanisms of P. ginseng, it still remains unclear how multiple active ingredients of P. ginseng interact with multiple targets simultaneously, giving the multidimensional effects on various conditions and diseases. In order to decipher the systems-level mechanism of multiple ingredients of P. ginseng, a novel approach is needed beyond conventional reductive analysis. We aim to review the systems-level mechanism of P. ginseng by adopting novel analytical framework-network pharmacology. Here, we constructed a compound-target network of P. ginseng using experimentally validated and machine learning-based prediction results. The targets of the network were analyzed in terms of related biological process, pathways, and diseases. The majority of targets were found to be related with primary metabolic process, signal transduction, nitrogen compound metabolic process, blood circulation, immune system process, cell-cell signaling, biosynthetic process, and neurological system process. In pathway enrichment analysis of targets, mainly the terms related with neural activity showed significant enrichment and formed a cluster. Finally, relative degrees analysis for the target-disease association of P. ginseng revealed several categories of related diseases, including respiratory, psychiatric, and cardiovascular diseases.

• Korean Journal of Veterinary Service
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• v.17 no.3
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• pp.208-226
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• 1994

From January to December 1993, 3,385 bulk milk samples were collected from 293 herds in Inchon area. Standard plate counts(SPC) and somatic cell counts(SCC) were performed by the method of milk collection, the situation of raising management and monthly. The results obtained are summarized as follows : 1, Annual average SPC and SCC were respectively 638,000 cfu /mm and 647,000 cells /mm. SPC showed an abrupt decrease from January-1,088,000 cfu /mm to December-279,000 cfu /mm, but SCC showed a slow change from January-1,017,000 cells /mm to December -673,000 cells /mm 2. Variation on milk quality(annual average SPC) was shown a wide difference between everyday collection-575,000 cfu /mm and every other day collection-1,243,000 cfu /mm ac-cording to frequency of milk collection from dairy farms. However, there was a little difference In SCC. 3. In the raising scale, average SPC were the lowest in 16~25mi1king cows, and average SCC were the lowest in above 25milking cows. 4. According to types of milking machine, average SPC and SCC of dairy farms that are equipped with pipeline system were respectively 361,000 cfu /mm and 591,000 cells /mm. Those of dairy farms with bucket system were 549,000 cfu /me and 559,000 cells /mm. 5. In the types of management, average SPC an SCC of dairy farms with hired herdsman were 288,000 cfu /mm and 559,000 cells /mm. Those of dairy farms with self-management were 526,000 cfu /mm and 568,000 cells /mm.

• Journal of the Korean Society of Tobacco Science
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• v.29 no.2
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• pp.110-117
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• 2007

In vitro toxicity tests such as cytotoxicity, mutagenicity and genotoxicity assay are useful for evaluating the relative toxicity of smoke or smoke condensates obtained from different cigarette configurations. A major disadvantage of these tests is relatively time-consuming, complicated and expensive. Recently, a cell-free glutathione consumption assay (GCA) as a rapid and simple screening method for the toxicity assessment of smoke has been reported by Cahours et al. (CORESTA, 2006). This study was carried out to assess the GCA application capable of predicting the toxicity of gas/vapor phase (GVP) of cigarette smoke and to identify individual compounds responsible for the glutathione (GSH) consumption in smoke. Each GVPs from 2R4F, standard cigarette, carbon filter cigarette (ExC) and new carbon filter cigarette (ExN), test cigarettes were collected by automatic smoking machine and evaluated the relative toxicity by GCA and neutral red uptake (NRU) assay. Toxic compounds existed in smoke were also chosen, relative toxicities of these compounds were screened by using two methods and compared individually. The overall order of toxicity by GCA was 2R4F > ExC > ExN, which was consistent with the result of Neutral Red Uptake assay. The levels of carbonyl compounds of ExN were lower than those of 2R4F and ExC, indicating that GSH consumption was associated with carbonyl compound yields. A major toxicant under current study is acrolein, which contributed to more than half of the GSH consumption. Collectively, the toxicity of GVP determined by GCA method may be mainly attributed to acrolein.

• Journal of Aerospace System Engineering
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• v.16 no.6
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• pp.99-105
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• 2022

This paper studied the mechanical characteristics of boom structures by verifying the modeling method of representing unit cells of triaxial woven fabric (TWF) composites. The modeling of the representative unit cell obtained the ABD matrix by analysing the behaviour of tensile, shear, bending, and torsion using the periodic boundary conditions for the beam element. This study aimed to validate the ABD matrix by comparing the tensile analysis output from a finite element program with the experimental results from an MTS 810 machine. Additionally, the mechanical characteristics of a TWF composite boom structure were determined through bending analysis and experiments. The findings of this research are expected to be beneficial for developing structures using TWF composites.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.