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Effects of spatial confinement on migratory properties of Dictyostelium discoideum cells
Belotti, Y., McGloin, D., Weijer, C. J.
Communicative and Integrative Biology, vol. 14, no. 1, pp. 5-14
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https://doi.org/10.1080/19420889.2021.1872917
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http://aura.abdn.ac.uk/bitstream/2164/20066/1/Belotti_etal_CIB_Effects_of_Spatial_VOR.pdf
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Emergence of log-normal type distributions in avalanche processes in living systems: a network model
Polizzi, S., Arneodo, A., Perez-Reche, F., Argoul, F.
Frontiers in Applied Mathematics and Statistics, vol. 6, 613962
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https://doi.org/10.3389/fams.2020.613962
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http://aura.abdn.ac.uk/bitstream/2164/15996/1/Polizzi_etal_Emergence_Log_Normal_VOR.pdf
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Machine learning prediction of critical transition and system collapse
Kong, L., Fan, H., Grebogi, C., Lai, Y.
Physical Review Research, vol. 3, no. 1, 013090
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http://arxiv.org/abs/2012.01545v1
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https://doi.org/10.1103/PhysRevResearch.3.013090
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http://aura.abdn.ac.uk/bitstream/2164/15747/1/Kong_et_al_PRR_MachineLearningPrediction_VoR.pdf
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The rostro-caudal gradient in the prefrontal cortex and its modulation by subthalamic deep brain stimulation in Parkinson’s disease
Schumacher, F. K., Schumacher, L. V., Amtage, F., Horn, A., Egger, K., Piroth, T., Weiller, C., Schelter, B., Coenen, V. A., Kaller, C.
Scientific Reports, vol. 11, 2138
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https://doi.org/10.1038/s41598-021-81535-7
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http://aura.abdn.ac.uk/bitstream/2164/15717/1/Schoumacher_et_al_SR_TheRostroCaudal_VoR.pdf
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The Existence of Aubry–Mather sets for the Fermi–Ulam Model
Cao, Z., Grebogi, C., Li, D., Xie, J.
Qualitative Theory of Dynamical Systems, vol. 20, 12
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https://doi.org/10.1007/s12346-021-00446-0
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http://aura.abdn.ac.uk/bitstream/2164/17932/1/Cao_et_al_QToDS_TheExistenceOfAubry_AAM.pdf
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On the validity of neural mass models
Deschle, N., Gossn, J. I., Tewarie, P., Schelter, B., Daffertshofer, A.
Frontiers in Computational Neuroscience, vol. 14, 581040
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https://www.frontiersin.org/articles/10.3389/fncom.2020.581040/full#supplementary-material
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https://doi.org/10.3389/fncom.2020.581040
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http://aura.abdn.ac.uk/bitstream/2164/16039/1/Deschle_et_al_FCN_OnTheValidity_VoR.pdf
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Complex Network Analysis of Experimental EEG Signals for Decoding Brain Cognitive State
Gao, Z., Gong, Z., Cai, Q., Ma, C., Grebogi, C.
IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 1, pp. 531-535
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https://doi.org/10.1109/TCSII.2020.3012184
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http://aura.abdn.ac.uk/bitstream/2164/16866/1/Gao_et_al_IEEE_ComplexNetwordAnalysis_AAM.pdf
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A pressure induced reversal to the 9R perovskite in Ba3MoNbO8.5
Sherwood, B., RIDLEY, C. J., Bull, C. L., Fop, S., Skakle, J., McLaughlin, A., Wildman, E.
Journal of Materials Chemistry A, vol. 9, no. 10, pp. 6567-6574
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https://doi.org/10.1039/d0ta11270d
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http://aura.abdn.ac.uk/bitstream/2164/16007/1/Sherwood_et_al_JMCA_APressureInducedReversal_VoR.pdf
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Complex Network Analysis and Engineering in 5G and Beyond Toward 6G
Butt, M. M., Grebogi, C., Macaluso, I., Baptista, M. S., Marchetti, N., Nardelli, P. H. J., Hunjet, R., Thomas, R.
IEEE Access, vol. 8, pp. 227751-227755
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https://doi.org/10.1109/ACCESS.2020.3043061
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http://aura.abdn.ac.uk/bitstream/2164/16930/1/Butt_etal_IEEE_IEEE_Access_Special_VoR.pdf
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Revealing the Intensity of Turbulent Energy Transfer in Planetary Atmospheres
Cabanes, S., Espa, S., Galperin, B., Young, R. M., Read, P. L.
Geophysical Research Letters, vol. 47, no. 23, e2020GL088685
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https://doi.org/10.1029/2020GL088685
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