• BMB Reports
• /
• 제56권1호
• /
• pp.43-48
• /
• 2023

Pre-clinical models are critical in gaining mechanistic and biological insights into disease progression. Recently, patient-derived organoid models have been developed to facilitate our understanding of disease development and to improve the discovery of therapeutic options by faithfully recapitulating in vivo tissues or organs. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze experimental results. In this review, we summarize the recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.

• Molecules and Cells
• /
• 제45권10호
• /
• pp.761-761
• /
• 2022

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권6호
• /
• pp.2044-2059
• /
• 2022

Recent works have shown that the geometric constraint can be harnessed to boost the performance of CNN-based camera localization. However, the existing strategies are limited to imposing image-level constraint between pose pairs, which is weak and coarse-gained. In this paper, we introduce a pixel-level epipolar geometry constraint to vanilla localization framework without the ground-truth 3D information. Dubbed EpiLoc, our method establishes the geometric relationship between pixels in different images by utilizing the epipolar geometry thus forcing the network to regress more accurate poses. We also propose a variant called EpiSingle to cope with non-sequential training images, which can construct the epipolar geometry constraint based on a single image in a self-supervised manner. Extensive experiments on the public indoor 7Scenes and outdoor RobotCar datasets show that the proposed pixel-level constraint is valuable, and helps our EpiLoc achieve state-of-the-art results in the end-to-end camera localization task.

• 한국정보기술응용학회:학술대회논문집
• /
• 한국정보기술응용학회 2007년도 추계 국제학술대회
• /
• pp.151-151
• /
• 2007

• 한국초전도학회:학술대회논문집
• /
• 한국초전도학회 2002년도 High Temperature Superconductivity Vol.XII
• /
• pp.25-25
• /
• 2002

• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
• /
• pp.706-710
• /
• 2006

과학 기술 정책 및 산업 정책을 수립하기 위해 과학, 기술, 산업의 지식 흐름에 대한 연구가 최근 활발히 진행되고 있다. 지금까지 과학, 기술, 산업간의 관계를 규명하기 위한 연구는 과학과 기술 측면, 기술과 산업 측면에서 주로 연구되었고, 과학-산업측면에 대한 연구는 미진한 상황이다. 본 연구는 특허인용정보를 사용하여 과학-기술-산업에 대한 지식흐름을 측정하는 방법을 제시하고 자 한다. 특허와 이 특허에 인용된 학술문헌정보간 매핑을 통해 구해진 과학-기술간 지식흐름 데이터와, OECD가 발표한 특허와 산업간 매핑 소프트웨어인 OTC 프로그램을 이용하여 구해진 기술-산업간 지식흐름 데이터를 토대로 네트웍 링크 가중치 계산 방법인 오버랩 함수를 적용하여 과학-산업간 지식흐름을 규명하는 방법을 제시하고자 한다.

• Bulletin of the Korean Chemical Society
• /
• 제29권3호
• /
• pp.647-655
• /
• 2008

Microsomal prostaglandin E2 synthase (mPGES-1) is a potent target for pain and inflammation. Various QSAR (quantitative structure activity relationship) analyses used to understand the factors affecting inhibitory potency for a series of MK886 analogues. We derived four QSAR models utilizing various quantum mechanical (QM) descriptors. These QM models indicate that steric, electrostatic and hydrophobic interaction can be important factors. Common pharmacophore hypotheses (CPHs) also have studied. The QSAR model derived by best-fitted CPHs considering hydrophobic, negative group and ring effect gave a reasonable result (q2 = 0.77, r2 = 0.97 and Rtestset = 0.90). The pharmacophore-derived molecular alignment subsequently used for 3D-QSAR. The CoMFA (Comparative Molecular Field Analysis) and CoMSIA (Comparative Molecular Similarity Indices Analysis) techniques employed on same series of mPGES-1 inhibitors which gives a statistically reasonable result (CoMFA; q2 = 0.90, r2 = 0.99. CoMSIA; q2 = 0.93, r2 = 1.00). All modeling results (QM-based QSAR, pharmacophore modeling and 3D-QSAR) imply steric, electrostatic and hydrophobic contribution to the inhibitory activity. CoMFA and CoMSIA models suggest the introduction of bulky group around ring B may enhance the inhibitory activity.

• Journal of Industrial and Engineering Chemistry
• /
• 제68권
• /
• pp.117-123
• /
• 2018

Recently, aqueous method has attracted lots of attention because it enables the solution-processed metal oxide thin film with high electrical properties in low temperature fabrication condition to various flexible devices. Focusing the development of aqueous route, many researchers are only focused on metal oxide materials. However, for expansive application of the aqueous-based metal oxide films, the systematic study of performance change with process variables for the development of aqueous-based metal oxide insulator film is urgently required. Here, we propose importance of process variables to achieve high electrical-performance metal oxide insulator based on the aqueous method. We found that the significant process variables including precursor solution temperature and humidity during the spincoating process strongly affect chemical, physical, and electrical properties of $AlO_x$ insulators. Through the optimization of significant variables in process, an $AlO_x$ insulator with a leakage current value approximately $10^5$ times smaller and a breakdown voltage value approximately 2-3 times greater than un-optimized $AlO_x$ was realized. Finally, by introducing the optimized $AlO_x$ insulators to solutionprocessed $InO_x$ TFTs, we successfully achieved $InO_x/AlO_x$ TFTs with remarkably high average field-effect mobility of ${\sim}52cm^2V^{-1}\;s^{-1}$ and on/off current ratio of 106 at fabrication temperature of $250^{\circ}C$.

• 한국자기학회:학술대회 개요집
• /
• 한국자기학회 2003년도 somma/kms meeting
• /
• pp.75-75
• /
• 2003

• 한국동물학회:학술대회논문집
• /
• 한국동물학회 2006년도 제61회 한국생물과학협회 정기학술대회
• /
• pp.21-21
• /
• 2006