지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 7 - 11 (5page)
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초록· 키워드
오류제보하기
It has been found that both circulating blood cells and tumor cells are more easily adherent to curved microvessels than straight ones. In this paper, the hypothesis that tumor cells prefer to adhere at the microvessels with localized shear stresses and their gradients, such as in the curved microvessels, was examined both experimentally and computationally. The fluid dynamics was carried out by the lattice Boltzmann method (LBM), and the cell dynamics was governed by the Newton’s law of translation and rotation. The adhesive dynamics model is involved the effect of receptor-ligand bonds between circulating cells and endothelial cells (ECs). It was found that the wall shear stress/gradient, over a threshold, had significant contribution to tumor cell adhesion by activating or inactivating cell adhesion molecules. Our results elucidated why the tumor cell adhesion prefers to occur at the positive curvature of curved microvessels with very low Reynolds number (in the order of 10<SUP>-2</SUP>) laminar flow.
Obstructive sleep apnea (OSA) is a common disorder characterized by partial or complete narrowing of the pharyngeal airway during sleep. The success rate of OSA surgery is very low, CFD is a good alternative tool to understand OSA pathophysiology. We have carried out both LES simulation and experimental measurement in real OSA upper airways for both before and after surgery, and a good agreement is achieved.
Obstructive sleep apnea (OSA) is a common disorder characterized by partial or complete narrowing of the pharyngeal airway during sleep. The success rate of OSA surgery is very low, CFD is a good alternative tool to understand OSA pathophysiology. We have carried out both LES simulation and experimental measurement in real OSA upper airways for both before and after surgery, and a good agreement is achieved.
목차
Abstract
1. Introduction for Cell Adhesion
2. Methodology for Cell Adhesion
3. Results for Cell Adhesion
4. Conclusion for Cell Adhesion
5. Introduction for Airflow in OSA Upper Airway
6. Results for Comparison between Measurement and Simulation in Upper Airway
7. References
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