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Survival dynamical systems: individual-level survival analysis from population-level epidemic models (2019)
Journal Article
KhudaBukhsh, W. R., Choi, B., Kenah, E., & Rempa?a, G. A. (2020). Survival dynamical systems: individual-level survival analysis from population-level epidemic models. Interface Focus, 10(1), Article 20190048. https://doi.org/10.1098/rsfs.2019.0048

In this paper, we show that solutions to ordinary differential equations describing the large-population limits of Markovian stochastic epidemic models can be interpreted as survival or cumulative hazard functions when analysing data on individuals s... Read More about Survival dynamical systems: individual-level survival analysis from population-level epidemic models.

Transitions: A Protocol-Independent View of the Future Internet (2019)
Journal Article
Alt, B., Weckesser, M., Becker, C., Hollick, M., Kar, S., Klein, A., …Steinmetz, R. (2019). Transitions: A Protocol-Independent View of the Future Internet. Proceedings of the IEEE, 107(4), 835-846. https://doi.org/10.1109/JPROC.2019.2895964

Countless novel approaches to communication protocols, overlay networks, and distributed middleware are published every year, yet the adoption of such novel findings in the global Internet landscape progresses at a slow pace. Many of such new communi... Read More about Transitions: A Protocol-Independent View of the Future Internet.

Quasi-Steady-State Approximations Derived from the Stochastic Model of Enzyme Kinetics (2019)
Journal Article
Kang, H., KhudaBukhsh, W. R., Koeppl, H., & Rempa?a, G. A. (2019). Quasi-Steady-State Approximations Derived from the Stochastic Model of Enzyme Kinetics. Bulletin of Mathematical Biology, 81(5), 1303-1336. https://doi.org/10.1007/s11538-019-00574-4

The paper outlines a general approach to deriving quasi-steady-state approximations (QSSAs) of the stochastic reaction networks describing the Michaelis–Menten enzyme kinetics. In particular, it explains how different sets of assumptions about chemic... Read More about Quasi-Steady-State Approximations Derived from the Stochastic Model of Enzyme Kinetics.