• Asian Pacific Journal of Cancer Prevention
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• v.15 no.7
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• pp.3065-3070
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• 2014

Background: Neuroblastoma (NB), is a neuroectodermal tumor derived from neural crest cells, and it is the second most common pediatric malignant tumor. The biological and clinical behavior of NB is very heterogeneous. This study was conducted to evaluate the expression of Ki-67, p53 and VEGF markers in tissues obtained from NB patients with different histologic types and stage. Materials and Methods: Tissue microarray (TMA) blocks were constructed from paraffin blocks of the NB tissues. Immunohistochemical staining was performed on TMA sections to detect the expression of Ki-67, p53 and VEGF markers. The association between the expression of these markers and clinicopathological parameters were then analyzed. Results: We had 18 patients with NB, one patient with ganglioneuroblastoma (GNB) and one with ganglioneuroma. Ki-67 was expressed in 13 (65%) tumors, and negatively correlated with age, prognosis, histologic type and stage of NB (all p<0.05). High and moderate expression of VEGF was found in 5% (1/20) and 65% (13/20) of the tumors, respectively; and it was positively correlated with age, prognosis and histologic types (all p<0.05) and negatively correlated with MKI (mitosis-karyorrhexis index). p53 expression was observed in 10% (2/20) of the tumors, which showed a relative correlation with MKI (p value=0.07). Conclusions: VEGF as a candidate for anti-angiogenic targeted therapy was correlated with the development and progression of NB; therefore, VEGF along with Ki-67 can serve as a valuable marker for the prognosis of this tumor type.

• The KIPS Transactions:PartC
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• v.15C no.2
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• pp.133-140
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• 2008

In this paper, we propose a high performance elliptic curve cryptographic processor over $GF(2^{163})$. The proposed architecture is based on a modified Lopez-Dahab elliptic curve point multiplication algorithm and uses Gaussian normal basis for $GF(2^{163})$ field arithmetic. To achieve a high throughput rates, we design two new word-level arithmetic units over $GF(2^{163})$ and derive a parallelized elliptic curve point doubling and point addition algorithm with uniform addressing based on the Lopez-Dahab method. We implement our design using Xilinx XC4VLX80 FPGA device which uses 24,263 slices and has a maximum frequency of 143MHz. Our design is roughly 4.8 times faster with 2 times increased hardware complexity compared with the previous hardware implementation proposed by Shu. et. al. Therefore, the proposed elliptic curve cryptographic processor is well suited to elliptic curve cryptosystems requiring high throughput rates such as network processors and web servers.

• Journal of Preventive Medicine and Public Health
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• v.39 no.2
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• pp.177-183
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• 2006

Objectives : In this study we examined the association between the genetic markers ACE (A-240T, C-93T, I/D, A2350G), AGT (M235T), AT1R (A1166C), CYP11B2 (T344C, V386A), REN (G2646A), ADRB2 (G46A, C79G, T47C, T1641), GNB3 (C825T) and ADD1 (G460W) and the presence of essential hypertension in adolescents. Methods : The Kangwha Study is an 18-year prospective study that is aimed at elucidating the determinants of the blood pressure level from childhood to early adulthood. For this study, we constructed a case-control dataset of size of 277 and 40 family trios data from the Kangwha Study. For this purpose, we perform a single locus-based case-control association study and a single locus-based TDT (transmission/disequilibrium test) study. Results : In the case-control study, the single locus-based association study indicated that the ADD1 (G460W) (p=0.0403), AGT (M235T) (p=0.0002), and REN (G2646A) (p=0.0101) markers were significantly associated with the risk of hypertension. These results were not confirmed on the TDT study. This study showed that genetic polymorphisms of the ADD1, AGT and REN genes might be related to the hypertension in Korean adolescents. Conclusions : This study provided useful information on genetics markers related to blood pressure. Further study will be needed to confirm the effect of the alpha adducin gene, the angiotensinogen gene and the renin gene on essential hypertension.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.248-248
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• 2023

In recent years, the number of landslides in Korea has been increasing due to extreme weather events such as localized heavy rainfall and typhoons. Landslides often occur with debris flows, land subsidence, and earthquakes. They cause significant damage to life and property. 64% of Korea's land area is made up of mountains, the government wanted to predict landslides to reduce damage. In response, the Korea Forest Service has established a 'Landslide Information System' to predict the likelihood of landslides. This system selects a total of 13 landslide factors based on past landslide events. Using the LR technique (Logistic Regression) to predict the possibility of a landslide occurrence and the accuracy is known to be 0.75. However, most of the data used for learning in the current system is on landslides that occurred from 2005 to 2011, and it does not reflect recent typhoons or heavy rain. Therefore, in this study, we will apply a total of six machine learning techniques (KNN, LR, SVM, XGB, RF, GNB) to predict the occurrence of landslides based on the data of Inje, Gangwon-do, which was recently produced by the National Institute of Forest. To predict the occurrence of landslides, it is necessary to process converting landslide events and factors data into a suitable form for machine learning techniques through ArcGIS and Python. In addition, there is a large difference in the number of data between areas where landslides occurred or not. Therefore, the prediction was performed after correcting the unbalanced data using Tomek Links and Near Miss techniques. Moreover, to control unbalanced data, a model that reflects soil properties will use to remove absolute safe areas.

• Journal of Life Science
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• v.23 no.11
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• pp.1325-1335
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• 2013

Working dogs, such as rescue dogs, military watch dogs, guide dogs, and search dogs, are selected by in-training examination of desired traits, including concentration, possessiveness, and boldness. In recent years, genetic information has been considered to be an important factor for the outstanding abilities of working dogs. To characterize the molecular features of the canine genes related to phenotypes for working dogs, we investigated the 24 previously reported genes (AR, BDNF, DAT, DBH, DGCR2, DRD4, MAOA, MAOB, SLC6A4, TH, TPH2, IFT88, KCNA3, TBR2, TRKB, ACE, GNB1, MSTN, PLCL1, SLC25A22, WFIKKN2, APOE, GRIN2B, and PIK3CG) that were categorized to personality, olfactory sense, and athletic/learning ability. We analyzed the chromosomal location, gene-gene interactions, Gene Ontology, and expression patterns of these genes using bioinformatic tools. In addition, variable numbers of tandem repeat (VNTR) or microsatellite (MS) polymorphism in the AR, MAOA, MAOB, TH, DAT, DBH, and DRD4 genes were reviewed. Taken together, we suggest that the genetic background of the canine genes associated with various working dog behaviors and skill performance attributes could be used for proper selection of superior working dogs.