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Transition to turbulence in Taylor-Couette ferrofluidic flow
Altmeyer, S., Do, Y., Lai, Y.
Scientific Reports, vol. 5, 10781
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https://doi.org/10.1038/srep10781
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http://aura.abdn.ac.uk/bitstream/2164/5225/1/srep10781.pdf
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Networks: On the relation of bi- and multivariate measures
Mader, W., Mader, M., Timmer, J., Thiel, M., Schelter, B.
Scientific Reports, vol. 5, 10805
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https://doi.org/10.1038/srep10805
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http://aura.abdn.ac.uk/bitstream/2164/4633/1/srep10805.pdf
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Contribution of Fdh3 and Glr1 to Glutathione Redox State, Stress Adaptation and Virulence in Candida albicans
Tillmann, A. T., Strijbis, K., Cameron, G., Radmaneshfar, E., Thiel, M., Munro, C. A., MacCallum, D. M., Distel, B., Gow, N. A. R., Brown, A. J. P.
PloS ONE, vol. 10, no. 6, e0126940
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https://doi.org/10.1371/journal.pone.0126940
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http://aura.abdn.ac.uk/bitstream/2164/4604/1/PlosOne_0126940.pdf
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Understanding migraine using dynamic network biomarkers
Dahlem, M. A., Kurths, J., Ferrari, M. D., Aihara, K., Scheffer, M., May, A.
Cephalalgia, vol. 35, no. 7, pp. 627-630
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https://doi.org/10.1177/0333102414550108
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Collective relaxation dynamics of small-world networks
Grabow, C., Grosskinsky, S., Kurths, J., Timme, M.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 5, 052815
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https://doi.org/10.1103/PhysRevE.91.052815
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http://aura.abdn.ac.uk/bitstream/2164/5201/1/PhysRevE.91.052815.pdf
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Granger causal time-dependent source connectivity in the somatosensory network
Gao, L., Sommerlade, L., Coffman, B., Zhang, T., Stephen, J. M., Li, D., Wang, J., Grebogi, C., Schelter, B. O.
Scientific Reports, vol. 5, 10399
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https://doi.org/10.1038/srep10399
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http://aura.abdn.ac.uk/bitstream/2164/4553/1/srep10399.pdf
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Spatiotemporal Patterns and Predictability of Cyberattacks
Chen, Y. Z., Huang, Z. G., Xu, S., Lai, Y.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 10, no. 6, 0131501
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https://doi.org/10.1371/journal.pone.0124472
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http://aura.abdn.ac.uk/bitstream/2164/5223/1/journal.pone.0124472.pdf
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Optimal model-free prediction from multivariate time series
Runge, J., Donner, R. V., Kurths, J.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 5, 052909
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https://doi.org/10.1103/PhysRevE.91.052909
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http://aura.abdn.ac.uk/bitstream/2164/5202/1/PhysRevE.91.052909.pdf
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Effects of assortative mixing in the second-order Kuramoto model
Peron, T. K. D. M., Ji, P., Rodrigues, F. A., Kurths, J.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 5, 052805
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http://arxiv.org/abs/1504.05447v1
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https://doi.org/10.1103/PhysRevE.91.052805
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http://aura.abdn.ac.uk/bitstream/2164/5203/1/PhysRevE.91.052805.pdf
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Macroscopic description of complex adaptive networks co-evolving with dynamic node states
Wiedermann, M., Donges, J. F., Heitzig, J., Lucht, W., Kurths, J.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 5, 052801
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https://doi.org/10.1103/PhysRevE.91.052801
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http://aura.abdn.ac.uk/bitstream/2164/5204/1/PhysRevE.91.052801.pdf
