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Comparing of Insect Fauna and Feeding Habit in Trangenic Rice and Common Rice Cultivar
Hojung Jang,Hyojin Jeong,Jung-Joon Park 한국응용곤충학회 2019 한국응용곤충학회 학술대회논문집 Vol.2019 No.04
LM작물의 개발 이후 확대 이용은 대량생산을 동반하여야 하고, 이는 LM작물의 환경 방출 가능성을 높인다. 특히 LM작물과 종자의 낮은 수준 혼입(Low Level Presence, LLP)은 농생태계를 서서히 변화시킬 수 있어 큰 위협이 된다. 곤충군은 농생태계 먹이사슬의 기저에 위치하며, 지역적, 환경적으로 다양한 변이를 보이는 생물군집이다. 따라서 LM작물을 재배하는 지역과 비 재배지역의 곤충상을 알아보는 것은 대상지역의 지역적, 환경적 변이를 알아볼 수 있는 증거가 될 수 있다. 본 실험은 2018년 7월부터 10월까지 사천 경상대 LMO 격리포장과 두량의 비변형 벼 포장에서 곤충상의 변동양상을 유인계열(유아등 조사 및 끈끈이 트랩)과 직접조사계열(포충망 조사 및 육안 조사)로 나눠 각각 조사하고, 조사된 곤충군을 먹이습성에 따라 분리하여 각각 군집분석으로 비교하였다. 또한 곤충의 주요 먹이 습성을 파악한 후 식습성의 변동 양상을 주차별로 정리하였다.
Sangho Hyun,Hojung Kim,Sang Kyun Mok,Sang Seob Yun,Sun Cheol Park,Jang Yong Kim 대한외과학회 2023 Annals of Surgical Treatment and Research(ASRT) Vol.104 No.1
Purpose: This study aims to investigate the feasibility of Zenith Fenestrated AAA Endovascular Graft (Z-FEN, Cook Medical) from a single Korean institution database by evaluating the vascular anatomy of Korean abdominal aortic aneurysm (AAA) patients with hostile aortic neck. Methods: This is a retrospective study on patients with AAA who underwent endovascular aortic repair (EVAR) and open surgery repair between January 2012 and December 2021 (n = 211). The anatomic characteristics of the aortic neck were evaluated using 3-dimensional reconstructed computed tomographic scans. For the juxtarenal AAA patients (n = 39), feasibility of fenestrated stent graft was evaluated under the protocol of fenestrated EVAR. For those who were not suitable for the application of Z-FEN, the reasons for unsuitability were analyzed. Results: Among 211 AAA patients, 108 patients (51.2%) had complex aortic neck, and 39 (18.5%) had insufficient aortic neck length (<15 mm) for conventional EVAR. Of the 39 patients with juxtarenal AAAs, 13 (33.3%) were determined feasible for Z-FEN. Twenty-six patients (66.7%) were noncandidate for Z-FEN due to severe neck angulation, short aortic neck length, inadequate iliac artery anatomy, large aortic neck diameter, and severe calcification and thrombosis. Proximal aortic neck length of the non-feasible group was significantly shorter than that of the feasible group (P = 0.002). Conclusion: Z-FEN was applicable to 33.3% of the juxtarenal AAA patients. As recent studies confirm, the effectiveness and safety of fenestrated EVAR, Z-FEN can be an option for AAA patients with short aortic neck.
Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach
Shin, Moonshik,Jang, Donjin,Nam, Hojung,Lee, Kwang Hyung,Lee, Doheon IEEE 2018 IEEE/ACM transactions on computational biology and Vol.15 No.2
<P>The human colorectal carcinoma cell line (Caco-2) is a commonly used in-vitro test that predicts the absorption potential of orally administered drugs. In-silico prediction methods, based on the Caco-2 assay data, may increase the effectiveness of the high-throughput screening of new drug candidates. However, previously developed in-silico models that predict the Caco-2 cellular permeability of chemical compounds use handcrafted features that may be dataset-specific and induce over-fitting problems. Deep Neural Network (DNN) generates high-level features based on non-linear transformations for raw features, which provides high discriminant power and, therefore, creates a good generalized model. We present a DNN-based binary Caco-2 permeability classifier. Our model was constructed based on 663 chemical compounds with in-vitro Caco-2 apparent permeability data. Two hundred nine molecular descriptors are used for generating the high-level features during DNN model generation. Dropout regularization is applied to solve the over-fitting problem and the non-linear activation. The Rectified Linear Unit (ReLU) is adopted to reduce the vanishing gradient problem. The results demonstrate that the high-level features generated by the DNN are more robust than handcrafted features for predicting the cellular permeability of structurally diverse chemical compounds in Caco-2 cell lines.</P>
Forecasting Rice leaf roller and Oriental armyworm in Korea using Maximum Entropy Model
Hojeong Choe,Taechul Park,Hojung Jang,Jung-Joon Park 한국응용곤충학회 2018 한국응용곤충학회 학술대회논문집 Vol.2018 No.04
비래해충인 혹명나방(Cnaphalocrocis medinalis)과 멸강나방(Mythimna separata)은 아시아의 주요 벼 재배국가에 광범위하게 분포하고 있는 벼의 주요 해충이다. 국내에서는 벼멸구, 흰등멸구와 함께 중국에서 비래하여 나타나는 것으로 알려져 있다. 혹명나방과 멸강나방의 발생지역과 통계적으로 유의미한 상관관계에 있는 환경변수를 확인하고, 국내에서의 지속적인 발생 가능성을 알아보기 위해 Maxent (Maximum Entropy Model) 3.3.2를 사용하였다.