• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.34 no.1
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• pp.11-18
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• 2008

Human bone marrow mesenchymal stem cells are thought to be multipotent cells, which are present in adult marrow, that can replicate as undifferentiated cells and that have the potential to differentiate to lineages of mesenchymal tissues, including bone, cartilage, fat, tenden, muscle, and marrow stroma. Cells that have the characteristics of human mesenchymal stem cells could be isolated from marrow aspirates of human and animals. This study was designed to identify and characterize genes specifically expressed by osteogenic supplements -treated cells by suppression subtractive hybridization(SSH) method. The results were as follows: 1. 2 genes were upregulated genes in osteogenic diffeentiation of hMSCs, which is further proved by Northern blot analysis. 2. IGFBP-2 has been identified playing an important role in bone formation. 3. HF1 was also upregulated during osteogenic differentiation, but its role in bone formation is not clear yet.

• Journal of Venture Innovation
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• v.2 no.1
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• pp.1-11
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• 2019

Many research or consulting institute refered to Artificial Intelligence, Internet of Things, Blockchain technology and 3D Printing as key driving forces and technologies of 4th industrial revolution. Compared with traditional manufacturing as a subtractive manufacturing(SM), 3D printing technology as an additive manufacturing(AM) will revolutionary impacts on many industries. This study compared 3D printing with traditional manufacturing in the economic, manufacturing, and marketing perspectives. This study also analyzed issues of 3D printing for the purpose of building business ecosystem. Finally agenda for the further research were suggested.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.26 no.1
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• pp.68-72
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• 2013

The series connection-type superconducting fault current limiter (SFCL) with two magnetically coupled circuits was suggested and its effectiveness through the analysis on the current limiting and recovery characteristics was described. The fault current limiting characteristics of the proposed SFCL as well as the load voltage sag compensating characteristics according to the winding direction were investigated. To confirm the fault current limiting and the voltage sag suppressing characteristics of the this SFCL, the short-circuit tests for the simulated power system with the series connection-type SFCL were carried out. The series connection-type SFCL designed with the additive polarity winding was shown to perform more effective fault current limiting and load voltage sag compensating operations through the fast quench occurrence right after the fault appears and the fast recovery operation after the fault removes than that with the subtractive polarity winding.

• BMB Reports
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• v.41 no.11
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• pp.796-802
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• 2008

Suppression subtractive hybridization (SSH) cDNA libraries of the giant tiger shrimp, Penaeus monodon, were constructed. In total, 178 and 187 clones from the forward and reverse SSH libraries, respectively, of P. monodon were unidirectionally sequenced. From these, 37.1% and 53.5% Expressed Sequence Tags (ESTs) significantly matched known genes (E-value < 1e-04). Three isoforms of P. monodon progestin membrane receptor component 1: PM-PGMRC1-s (1980 bp), PM-PGMRC1- m (2848 bp), and PM-PGMRC1-l (2971 bp), with an identical ORF of 573 bp corresponding to a deduced polypeptide of 190 amino acids, were successfully identified by RACE-PCR. Interestingly, PMPGMRC1 showed a greater expression level in testes of juvenile than broodstock P. monodon (P < 0.05). Dopamine administration ($10^{-6}$ mol/shrimp) resulted in up-regulation of PM-PGMRC1 in testes of juveniles at 3 hrs post treatment (P < 0.05), but had no effect on PM-Dmc1 (P > 0.05).

• YAKHAK HOEJI
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• v.25 no.1
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• pp.1-7
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• 1981

Glycyrrhizin (GA) content in licorice was determined by a couple of methods using HPLC, respectively. In Method(I), GA content itself was determined from the licorice aqueous extract, while in Method (II) glycyrrhetinic acid (GHeA ; the aglicone of GA) content corresponding to the quantity of GA was measured from the chloroform extract of the hydrolyzed product of licorice aqueous extract. A reverse phase column Hibar Lichrosorb RP-18 (E. Merck) was used as the stationary phase. As the mobile phase MeOH: $H_{2}O$(0.05M-$NaH_{2}PO_{4}$)=58 : 42 solution in Method (I), and MeOH: $H_{2}O $: AcOH=78; 19: 3 solution in Method (II) were suitable, respectively. The value obtained by Method (II) appeared slightly higher than that by Method (I). The effect of some other herbal drugs on the assay of GA quantity in mixed sample was also observed in both above two methods. By Method (I) Cassiae Cortex, Rehmaniae Rhizoma, Paeoniae Radix, and Angelicae Radix gave the subtractive effect on the amount of GA compared with the value from licorice alone. In the case of Method (II) Cassiae Cortex and Rehmaniae Rhizoma appeared to have subtractive effect but Paeoniae Radix and Angelicae Radix scarcely showed any influence. Pachymae Fungus did not affect the GA content at all. It seems that glycyrrhizin in licorice interacts with certain components of other herbal drugs.

• Nuclear Engineering and Technology
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• v.49 no.4
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• pp.817-824
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• 2017

Residual stress is a critical element in determining the integrity of parts and the lifetime of welded structures. It is necessary to estimate the residual stress of a welding zone because residual stress is a major reason for the generation of primary water stress corrosion cracking in nuclear power plants. That is, it is necessary to estimate the distribution of the residual stress in welding of dissimilar metals under manifold welding conditions. In this study, a cascaded support vector regression (CSVR) model was presented to estimate the residual stress of a welding zone. The CSVR model was serially and consecutively structured in terms of SVR modules. Using numerical data obtained from finite element analysis by a subtractive clustering method, learning data that explained the characteristic behavior of the residual stress of a welding zone were selected to optimize the proposed model. The results suggest that the CSVR model yielded a better estimation performance when compared with a classic SVR model.

• Nuclear Engineering and Technology
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• v.40 no.1
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• pp.69-76
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• 2008

Most pressurized water reactors use Venturi flow meters to measure the feedwater flow rate. However, fouling phenomena, which allow corrosion products to accumulate and increase the differential pressure across the Venturi flow meter, can result in an overestimation of the flow rate. In this study, a soft-sensing model based on fuzzy support vector regression was developed to enable accurate on-line prediction of the feedwater flow rate. The available data was divided into two groups by fuzzy c means clustering in order to reduce the training time. The data for training the soft-sensing model was selected from each data group with the aid of a subtractive clustering scheme because informative data increases the learning effect. The proposed soft-sensing model was confirmed with the real plant data of Yonggwang Nuclear Power Plant Unit 3. The root mean square error and relative maximum error of the model were quite small. Hence, this model can be used to validate and monitor existing hardware feedwater flow meters.

• Computers and Concrete
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• v.21 no.6
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• pp.697-703
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• 2018

Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.

• Journal of Marine Bioscience and Biotechnology
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• v.2 no.3
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• pp.192-197
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• 2007

Suppression subtractive hybridization (SSH) was performed to construct an cDNA library of olive flounder Paralichthys olivaceus peripheral blood leukocytes (PBL) stimulated with lipopolysaccharide (LPS). Total 470 clones were randomly selected and sequenced, 214 out of 470 sequences showed identities with known genes and 252 sequences were unknown genes. Among the 218 known genes, 34 sequences were found to be homologous to IL-1RII gene, and 14 sequences were identified as IL-$1{\beta}$. RT-PCR analysis showed that IL-$1{\beta}$ mRNA was induced 1h after LPS-stimulation, and IL-1RII was increased from 3h after stimulation, indicating that most of SSH clones are associated with inflammatory responses in fish, and this SSH cDNA library would be useful to identify bio-defense and immuno-related genes in fish.

• Development and Reproduction
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• v.6 no.2
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• pp.89-96
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• 2002

The present study was conducted to elucidate genes involved in the primordial-primary follicular transition. By using suppression subtractive hybridization, day1- and day5-subtracted cDNA libraries were obtained with the forward and reverse subtraction method, respectively. In toto, 357 clones were sequenced and analyzed by BLAST and RIKEN program. Sequences of 330 clones significantly matched database entries while 27 clones were novel. Forty-two and 47 genes with known functions were different between day1 and day5 ovaries. Four genes, GDF8, lats2, septin2, and wee1, from the day1 subtracted cDNA library, and 6 genes, HSP84, laminin2, MATER, MTi7, PTP, and wrn, from day5-subtracted cDNA library were chosen, and their differential expression was evaluated using RNAs from whole ovaries as well as captured primordial and primary follicles by laser captured microdissection. Results from the present study would provide insight for the future study on the mechanisms involved in primordial-primary follicle transition in the mouse in addition to the human ovary.