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Shiryaev, A. N. (2007). On the classical, statistical, and stochastic approaches to the hydrodynamic turbulence. Department of Mathematical Sciences , University of Aarhus.
Serruys, P. W., Onuma, Y., Ormiston, J. A., de Bruyne, B., Regar, E., Dudek, D., Thuesen, L., Smits, P. C., Chevalier, B., McClean, D., Koolen, J., Windecker, S., Whitbourn, R., Meredith, I., Dorange, C., Veldhof, S., Miquel-Hebert, K., Rapoza, R. & García-García, H. M. (2010). Evaluation of the second generation of a bioresorbable everolimus drug-eluting vascular scaffold for treatment of de novo coronary artery stenosis: six-month clinical and imaging outcomes. Circulation, 122(22), 2301-12. https://doi.org/10.1161/CIRCULATIONAHA.110.970772
Serritzlew, C. & Nielsen, K. H. (2004). I Colombus' kølvand. Danske Museer.
Sejer Jakobsen, H. & Rebsdorf, S. O. (2003). Ideudvikling ved kreativ innovation. (1 udg.) Gyldendal.
Seebach, J. (2012). On extensions of group C*-algebras. Department of Mathematics, Aarhus University.
Schmiegel, J., Cleve, J., Eggers, H. C., Pearson, B. R. & Greiner, M. (2004). Stochastic energy-cascade model for (1+1)-dimensional fully developed turbulence. Phys. Lett. A, 320, 247-253.
Schmiegel, J. (2005). Self-scaling tumor growth. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Schmiegel, J., M.Greiner & G.Soff (1999). Linearized collective Schrödinger equation and supersymmetry. Journal of Physics G: Nuclear and Particle Physics, 25, L29-L33.
Schmiegel, J., M.Wolf & M.Greiner (2000). Artificiality of multifractal phase transitions. Phys. Lett. A, 266(4-6), 276-281.
Schmiegel, J., Barndorff-Nielsen, O. E., J.Cleve, T.Dziekan, Pearson, B. R., Sreenivasan, K. R. & Greiner, M. (2005). Finite size scaling two-point statistics and the turbulent energy cascade generators. Physical Review E, (71), 026309.
Schmiegel, J. (2006). Self-scaling tumor growth. Physica A, 367, 509-524.
Schmiegel, J., Barndorff-Nielsen, O. E., Benth, F. E. & Veraart, A. E. D. (2018). Turbulence Modelling. I P. W. Glynn, A. E. Kyprianouh & Y. Le Jan (red.), Ambit Stochastics: Probability Theory and Stochastic Modelling (Bind 88, s. 303-332). Springer. https://doi.org/10.1007/978-3-319-94129-5
Schmidt, T. L. & Thomsen, K. (2015). Circle Maps and C*-algebras. Ergodic Theory and Dynamical Systems, 35(2), 546-584. https://doi.org/10.1017/etds.2013.64
Schmidt, T. L. (2016). Circle Maps and C*-algebras. Department of Mathematics, Aarhus University.
Schluttenhofer, S. & Johannes, J. (2020). Adaptive Minimax Testing for Circular Convolution. Mathematical Methods of Statistics, 29(2), 106-133. https://doi.org/10.3103/S1066530720020039
Schjønning, P., Lamandé, M., De Pue, J., Cornelis, W. M., Labouriau, R. & Keller, T. (2023). The challenge in estimating soil compressive strength for use in risk assessment of soil compaction in field traffic. I D. L. Sparks (red.), Advances in Agronomy (Bind 178, s. 61-105). Academic Press. https://doi.org/10.1016/bs.agron.2022.11.003
Schindler, S. (2007). Rehabilitating theory: The Refusal of the bottom-up construction of Scientific Phenomena. Studies in History and Philosophy of Science Part A, 38(1), 160-184.
Schindler, S. (2008). Model, Theory and Evidence in the Discovery of the DNA Structure. British Journal for the Philosophy of Science, 59(4), 619-658.
Schindler, S. (2008). Use-novel predictions and the Periodic Table. Studies in History and Philosophy of Science Part A, 39(2), 265-269.
Schindler, S. (2009). Conceptions of causality. Metascience, 18(2), 301-305.
Schindler, S. (2013). Theory-laden experimentation. Studies in History and Philosophy of Science Part A, 44(1), 89–101. https://doi.org/10.1016/j.shpsa.2012.07.010
Schindler, S. (2013). Observation and Theory-Ladenness. I B. Kaldis (red.), Encyclopedia of Philosophy and the Social Sciences SAGE Publications.