Search results
Results: 76
Number of items: 76
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den Nijs, K., Edivaldo, J., Châtel, B. D. L., Uleman, J. F., Olde Rikkert, M., Wertheim, H., & Quax, R. (2022). A Global Sharing Mechanism of Resources: Modeling a Crucial Step in the Fight against Pandemics. International Journal of Environmental Research and Public Health, 19(10), Article 5930. https://doi.org/10.3390/ijerph19105930 -
Lang, L., Baudot, P., Quax, R., & Forré, P. (2022). Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu's Theorem. (v1 ed.) ArXiv. https://doi.org/https://arxiv.org/abs/2202.09393v1 -
Merabet, N., Lucassen, P. J., Crielaard, L., Stronks, K., Quax, R., Sloot, P. M. A., la Fleur, S. E., & Nicolaou, M. (2022). How exposure to chronic stress contributes to the development of type 2 diabetes: a complexity science approach. Frontiers in Neuroendocrinology, 65, Article 100972. https://doi.org/10.1016/j.yfrne.2021.100972 -
van Elteren, C., Quax, R., & Sloot, P. (2022). Dynamic importance of network nodes is poorly predicted by static structural features. Physica A : Statistical Mechanics and its Applications, 593, Article 126889. https://doi.org/10.1016/j.physa.2022.126889 -
Uleman, J. F., Quax, R., Melis, R. J. F., Hoekstra, A., & Olde Rikkert, M. G. M. (2021). An individualized systems model to optimize Alzheimer’s disease prevention strategies. Alzheimer's & Dementia, 17(S10), Article e050885. https://doi.org/10.1002/alz.050885
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Weinans, E., Quax, R., van Nes, E. H., & van de Leemput, I. A. (2021). Evaluating the performance of multivariate indicators of resilience loss. Scientific Reports, 11, Article 9148. https://doi.org/10.1038/s41598-021-87839-y -
Crielaard, L., Nicolaou, M., Sawyer, A., Quax, R., & Stronks, K. (2021). Understanding the impact of exposure to adverse socioeconomic conditions on chronic stress from a complexity science perspective. BMC Medicine, 19, Article 242. https://doi.org/10.1186/s12916-021-02106-1 -
Bruggeman, J., Sprik, R., & Quax, R. (2021). Spontaneous cooperation for public goods. Journal of Mathematical Sociology, 45(3), 183-191. https://doi.org/10.1080/0022250X.2020.1756285 -
Dutta, P., Quax, R., Crielaard, L., Badiali, L., & Sloot, P. M. A. (2021). Inferring temporal dynamics from cross-sectional data using Langevin dynamics. Royal Society Open Science, 8(11), Article 211374. https://doi.org/10.1098/rsos.211374
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