Korea Advanced Institute of Science and Technology · 経済学
Professor Jae-Suk Yang's research lab specializes in interdisciplinary studies at the intersection of complex systems, economic networks, and health technology. The lab investigates critical phenomena in statistical physics, such as phase transitions in nonequilibrium systems, while also exploring the dynamics of global capital flows, trade networks, and telemedicine adoption. A key focus is on understanding systemic risks and resilience in interconnected economic and healthcare systems, particularly through agent-based modeling and network analysis. The lab's work bridges theoretical physics, econophysics, and applied health policy to address real-world challenges in sustainability, innovation, and healthcare access.
Figures are computed from collected data and may differ slightly.
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
Open papers in the app to read, cite, and organize with AI.
