• Asian Pacific Journal of Cancer Prevention
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• 제15권7호
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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.

• 정보처리학회논문지C
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• 제15C권2호
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• pp.133-140
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• 2008

본 논문에서는 $GF(2^{163})$타원곡선 암호 프로세서를 제안한다. 제안한 암호 프로세서는 타원곡선 정수 곱셈을 위해 수정된 Loez-Dahab Montgomery 알고리즘을 채택하고, $GF(2^{163})$상의 산술 연산을 위해 가우시안 정규 기저(Gaussian Normal Basis: GNB)를 이용한다. 높은 처리율을 위해 Lopez-Dahab 방식에 기반한 규칙적인 주소화 방식의 병렬 타원곡선 좌표 덧셈 및 배 연산 알고리즘을 유도하고 $GF(2^{163})$상의 연산을 수행하는 두 개의 워드-레벨 산술 연산기(Arithmetic Unit: AU)를 설계한다. 제안된 타원곡선 암호 프로세서는 Xilinx사의 XC4VLX80 FPGA 디바이스에 구현되었으며, 24,263개의 슬라이스를 사용하고 최대 동작주파수는 143MHz이다. 제안된 구조를 Shu 등의 하드웨어 구현과 비교했을 때 하드웨어 복잡도는 약 2배 증가 하였지만 4.8배의 속도 향상을 보인다. 따라서 제안된 타원곡선 암호 프로세서는 네트워크 프로세서와 웹 서버등과 같은 높은 처리율을 요구하는 타원곡선 암호시스템에 적합하다.

• Journal of Preventive Medicine and Public Health
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• 제39권2호
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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.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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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.

• 생명과학회지
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• 제23권11호
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• pp.1325-1335
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• 2013

특수 목적견(구조견, 군견, 안내견 및 탐지견)은 집중력, 소유욕, 대담성 등을 기반으로 한 훈련시험을 통해 선별된다. 최근 특수견으로서의 특수한 능력 및 품성에 대해 유전적인 정보가 중요한 인자로 다뤄지고 있다. 본 연구에서는 특수견으로서의 개의 특수한 능력 및 품성과 관련된 유전자들의 분자적인 특징을 고찰하고자 하였다. 이전 연구에서 보고된 24개의 유전자(AR, BDNF, DAT, DBH, DGCR2, DRD4, MAOA, MAOB, SLC6A4, TH, TPH2, IFT88, KCNA3, TBR2, TRKB, ACE, GNB1, MSTN, PLCL1, SLC25A22, WFIKKN2, APOE, GRIN2B, PIK3CG)를 선택하여 품성, 후각, 운동 및 학습능력 관련 유전자, 네 가지 카테고리로 분류하였다. 본 연구에서는 생물학적인 기법을 이용하여 이 유전자들의 염색체상의 위치, 유전자들 간의 네트워크를 통한 상호관계를 조사하였으며, 어떤 생물학적 기능과 관련이 있는지 Gene Ontology 분석과 데이터베이스를 기반으로 in silico 발현 양상을 살펴보았다. 또한 이전 연구를 통하여 품성 관련 유전자들의 다양한 유전적 다형성에 대한 보고를 조사하였다. 본 연구는 특수 견으로서 주요하게 고려되는 개의 고유한 능력 및 품성 관련된 유전자에 대해 분자적 특징을 제시하고 있다. 이 후보 유전자들은 개의 특수한 표현형과의 관계를 밝힐 수 있는 연구의 기초자료로서 이용될 수 있을 뿐만 아니라 핵심적인 유전인자로 응용되어 신속하고 정확한 특수견 선발에 기여할 수 있을 것으로 전망된다.