Jae‐Suk Yang
KAIST 문술미래전략대학원 · 경제학
Jae-Suk Yang 교수의 연구실은 복잡계 이론과 네트워크 분석을 기반으로 한 다학제적 연구를 수행합니다. 주요 연구 분야로는 의료 분야의 디지털 전환(예: 원격 혈압 모니터링), 기업의 연구개발 협력 전략, 글로벌 자본 및 무역 네트워크의 영향력 분석 등이 있습니다. 특히, 몬테카를로 시뮬레이션과 에이전트기반 모델링을 활용해 복잡한 시스템의 거시적 행동을 규명하는 데 초점을 맞추고 있습니다. 이는 정책 수립과 기업 전략 수립에 실질적인 통찰을 제공합니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Our analysis on the causes of the resistance to telemedicine, carried out with the groups mentioned above, has important implications for policy-makers deriving strategies to achieve an appropriate consensus.
We study the critical properties of the majority voter model on d -dimensional hypercubic lattices. In two dimensions, the majority voter model belongs to the same universality class as that of the Ising model. However, the critical behaviors of the majority voter model on four dimensions do not exhibit mean-field behavior. Using the Monte Carlo simulation on d -dimensional hypercubic lattices, we obtain the critical exponents up to d=7 , and find that the upper critical dimension is 6 for the m
<b><i>Background:</i></b><i>Remote home blood pressure monitoring (RBPM) has been shown as effective in managing hypertension in underserved areas. Effects on urban patients, who are more easily provided with high-quality medical services, are still unclear. We systematically review previously published randomized controlled trials on the effect of RBPM for urban hypertensive patients.</i><b><i>Methods:</i></b><i>We searched electronic databases for studies published in English up to October 201
• Analyze the complex structure of cross-border capital flow across 65 countries. • Observe how patterns of capital flow affected economic growth. • Countries with large GDPs and offshore financial centers have great influence. • The economy of neighboring countries that trade with the major nodes show higher growth. • During the crisis, active cross-border trading becomes a channel of contagious insolvent capital. In a network analysis, we analyzed the complex structure of cross-border capital