Untangling complex syste.., p.107

Untangling Complex Systems, page 107

 

Untangling Complex Systems
Select Voice:
Brian (uk)
Emma (uk)  
Amy (uk)
Eric (us)
Ivy (us)
Joey (us)
Salli (us)  
Justin (us)
Jennifer (us)  
Kimberly (us)  
Kendra (us)
Russell (au)
Nicole (au)



Larger Font   Reset Font Size   Smaller Font  

  Molina, M. G.; Medina, E. H.; 2010, Are there Goodwin employment-distribution cycles? International empir-

  ical evidence. Cuadernos de Economía 29 (53), 1–29.

  Monasson, R.; Zecchina, R.; Kirkpatrick, S.; Selman, B.; Troyansky, L.; 1999, Determining computational

  complexity from characteristic ‘phase transitions’. Nature 400, 133–137.

  Montoya, J. M.; Pimm, S. L.; Solé, R. V.; 2006, Ecological networks and their fragility. Nature 442, 259–264.

  Moor, J.; 2006, The Dartmouth college artificial intelligence conference: The next fifty years. AI Magazine

  27 (4), 87–91.

  Moore, G.; 1995, Lithography and the future of Moore’s law. Proc. SPIE 2437, 1–8.

  Morton, K. W.; Mayers, D. F.; 2005, Numerical Solution of Partial Differential Equations. 2nd ed. Cambridge

  University Press, New York.

  Motlagh, H. N.; Wrabl, J. O.; Li, J.; Hilser, V. J.; 2014, The ensemble nature of allostery. Nature 508, 331–339.

  Muller, L.; Piantoni, G.; Koller, D.; Cash, S. S.; Halgren, E.; Sejnowski, T. J.; 2016, Rotating waves during

  human sleep spindles organize global patterns of activity that repeat precisely through the night. eLife

  5, e17267.

  Murdoch, W. W.; 1977, Stabilizing effects of spatial heterogeneity in predator-prey systems Theor. Popul.

  Biol. 11, 252–273.

  Murray, J. D.; 1988, How the leopard gets its spots. Sci. Am. 258, 80–87.

  Murray, J. D.; 2002, Mathematical Biology. I. An Introduction. 3rd ed. Springer-Verlag, Berlin, Germany.

  Murray, J. D.; 2003, Mathematical Biology: II. Spatial Models and Biomedical Applications. Springer-Verlag,

  Heidelberg (Germany).

  Nakamura, T.; Mine, N.; Nakaguchi, E.; Mochizuki, A.; Yamamoto, M.; Yashiro, K.; Meno C.; Hamada, H.;

  2006, Generation of robust left-right asymmetry in the mouse embryo requires a self-enhancement and

  lateral-inhibition system. Dev. Cell 11, 495–504.

  NASA website at https://solarsystem.nasa.gov/planets/sun/facts, visited the 8th of August 2017.

  Newman, M. E. J.; 2010, Networks: An Introduction. Oxford University Press, New York.

  Nicolis, G.; Portnow, J.; 1973, Chemical oscillations. Chem. Rev. 73, 365–384.

  Nicolis, G.; Prigogine, I.; 1977, Self-Organization in Nonequilibrium Systems: From Dissipative Structures to

  Order through Fluctuations. John Wiley & Sons, New York.

  Nisbet, E. G.; Sleep, N. H.; 2001, The habitat and nature of early life. Nature 409, 1083–1091.

  Nishida, T. Y.; 2004, An application of P systems: A new algorithm for NP-complete optimization problems.

  vol. V, pp. 109–112 in Proceedings of the 8th World Multi-Conference on Systemics, Cybernetics and

  Informatics. Callaos N. et al.; (Eds.). (SCI 2002 ISAS 2002, Ext. Vol. XX, Orlando, FL.

  Nitsan, I.; Drori, S.; Lewis, Y. E.; Cohen, S.; Tzlil, S.; 2016, Mechanical communication in cardiac cell syn-

  chronized beating. Nat. Phys. 12, 472–477.

  Noble, D.; 2006, The Music of Life: Biology Beyond the Genome. Oxford University Press, New York.

  Nordhaus, W. D.; 1975, The political business cycles Rev. Econ. Stud. 42, 169–190.

  550

  References

  Novák, B.; Tyson, J. J.; 2008, Design principles of biochemical oscillators. Nat. Rev. Mol. Cell Bio. 9, 981–991.

  Nowak, M. A.; 2006, Five rules for the evolution of cooperation. Science 314, 1560–1563.

  Nowak, M. A.; Sigmund, K.; 1992, Tit for tat in heterogeneous population. Nature 355, 250–253.

  Nowak, M. A.; Sigmund, K.; 1993, A strategy of win-stay, lose-shift that outperforms tit-for-tat in the

  Prisoner’s Dilemma game. Nature 364, 56–58.

  Nowak, M. A.; Sigmund, K.; 1998, Evolution of indirect reciprocity by image scoring. Nature 393, 573–577.

  Nowak, M. A.; Sigmund, K.; 2005, Evolution of indirect reciprocity. Nature 437, 1291–1298.

  Noyes, R. M.; Field, R. J.; Körös, E. J.; 1972, Oscillations in chemical systems. I. Detailed mechanism in a

  system showing temporal oscillations. J. Am. Chem. Soc. 94, 1394–1395.

  O’Brien, E. L.; Itallie, E. V.; Bennett, M. R.; 2012, Modelling synthetic gene oscillators. Math. Biosci. 236, 1–15.

  Okazaki, N.; Rábai, Gy.; Hanazaki, I.; 1999, Discovery of novel bromate-sulfite pH oscillator with Mn2+ or

  MnO– as a negative feedback species.

  4

  J. Phys. Chem. A 103, 10915–10920.

  Olson, J. M.; Rosenberger, F.; 1979, Convective instabilities in a closed vertical cylinder heated from below.

  Part 1. Monocomponent gases. J. Fluid Mech. 92, 609–629.

  Onsager, L.; 1931a, Reciprocal relations in irreversible processes. I. Phys Rev. 37 (4), 405–426.

  Onsager, L.; 1931b, Reciprocal relations in irreversible processes. II. Phys Rev. 38 (12), 2265–2279.

  Orbán, M.; 1986, Oscillations and bistability in the Cu(II)-catalyzed reaction between H O and KSCN.

  2

  2

  J. Am. Chem. Soc. 108, 6893–6898.

  Orbán, M.; Epstein, I. R.; 1985, A new halogen-free chemical oscillator: The reaction between sulfide ion and

  hydrogen peroxide in a CSTR. J. Am. Chem. Soc. 107, 2302–2305.

  Orbán, M.; Epstein, I. R.; 1987, Chemical oscillator in group VIA: The Cu(II)-catalyzed reaction between

  hydrogen peroxide and thiosulfate ion. J. Am. Chem. Soc. 109, 101–106.

  Orbán, M.; Epstein, I. R.; 1992, A new type of oxyhalogen oscillator: The bromite-iodide reaction in a CSTR.

  J. Am. Chem. Soc. 114, 1252–1256.

  Orbán, M.; Epstein, I. R.; 1994, Simple and complex pH oscillations and bistability in the phenol-perturbed

  bromite-hydroxylamine reaction. J. Phys. Chem. 98, 2930–2935.

  Orbán, M.; Epstein, I. R.; 1995, A new bromite oscillator: Large amplitude pH in the bromite-thiosulfate-

  phenol flow system. J. Phys. Chem. 99, 2358–2362.

  Orbán, M.; Körös, E.; Noyes, R. M.; 1979, Chemical oscillations during the uncatalyzed reaction of aromatic

  compounds with bromate. 2. A plausible skeleton mechanism. J. Phys. Chem. 83, 3056–3057.

  Orbán, M.; Kurin-Csörgei, K.; Epstein, I. R.; 2015, pH-regulated chemical oscillators. Acc. Chem. Res. 48,

  593–601.

  Orbán, M.; Kurin-Csörgei, K.; Rábai, G.; Epstein, I. R.; 2000, Mechanistic studies of oscillatory copper(II)

  catalyzed oxidation reactions of sulfur compounds. Chem. Eng. Sci. 55, 267–273.

  Osborne, A. R.; Provenzale, A., 1989, Finite correlation dimension for stochastic systems with power-law

  spectra. Physica D 35, 357–381.

  Ostwald, W.; 1899, Periodisch veraenderliche Reaktionsgeschwindigkeiten. Phys. Zeitschr. 8, 87–88.

  Otto, S. P.; Day, T.; 2007, A Biologist’s Guide to Mathematical Modeling in Ecology and Evolution. Princeton University Press, Princeton, NJ.

  Oyster, C. W.; 1999, The Human Eye, Structure and Function. Sinauer Associates, Sunderland, MA.

  Ozawa, H.; Shimokawa, S.; 2014, The time evolution of entropy production in nonlinear dynamic systems.

  Chapter 6, pp. 113–128 in Beyond the Second Law. Dewar, R. C.; Lineweaver, C. H.; Niven, R. K.;

  Regenauer-Lieb, K.; (Eds.), Springer-Verlag, Berlin, Germany.

  Pääbo, S.; Poinar, H.; Serre, D.; Jaenicke-Després, V.; Hebler, J.; Rohland, N.; Kuch, M.; Krause, J.; Vigilant,

  L.; Hofreiter, M.; 2004, Genetic analyses from ancient DNA. Annu. Rev. Genet. 38, 645–679.

  Padirac, A.; Fujii, T.; Estévez-Torres, A.; Rondelez, Y.; 2013, Spatial waves in synthetic biochemical networks.

  J. Am. Chem. Soc. 135, 14586–14592.

  Paladin, G.; Vulpiani, A.; 1987, Anomalous scaling laws in multifractal objects. Phys. Rep. 156, 147–225.

  Palva, S.; Palva, J. M.; 2007, New vistas for α-frequency band oscillations. Trends Neurosci. 30, 150–158.

  Panijpan, B.; 1977, The buoyant density of DNA and the G + C content. J. Chem. Edu. 54, 172–173.

  Papadimitriou, C. H.; 1994, Computational Complexity. Addison-Wesley, Reading, MA.

  Parrondo, J. M.; Horowitz, J. M.; Sagawa, T.; 2015, Thermodynamics of information. Nat. Phys. 11, 131–139.

  Paun, G.; 2002, Membrane Computing: An Introduction. Spinger-Verlag, Berlin, Germany.

  Paxinos, G.; Mai, J. K.; 2004, The Human Nervous System. 2nd ed. Academic Press/Elsevier, San Diego, CA.

  Peak, D.; West, J. D.; Messinger, S. M.; Mott, K. A.; 2004, Evidence for complex, collective dynamics and

  emergent, distributed computation in plants. Proc. Natl. Acad. Sci. USA 101, 918–922.

  References

  551

  Peitgen, H. O.; Jürgens, H.; Saupe, D.; 1992a, Fractals for the Classroom. Part One. Introduction to Fractals

  and Chaos. Springer-Verlag, New York.

  Peitgen, H. O.; Jürgens, H.; Saupe, D.; 1992b, Fractals for the Classroom. Part Two. Complex Systems and

  Mandelbrot Set. Springer-Verlag, New York.

  Pegas, K. L.; Edelweiss, M. I.; Cambruzzi, E.; Zettler, C. G.; 2010, Liesegang rings in xanthogranulomatous

  pyelonephritis: A case report. Pathol. Res. Int. 602523, 1–3.

  Pellitero, M. A.; Lamsfus, C. Á.; Borge, J.; 2013, The Belousov-Zhabotinskii reaction: Improving the oregona-

  tor model with the Arrhenius equation. J. Chem. Edu. 90, 82–89.

  Perelson, A. S.; Oster, G. F.; 1979, Theoretical studies of clonal selection: Minimal antibody repertoire size

  and reliability of self-nonself discrimination. J. Theor. Biol. 81, 645–670.

  Petrov, V.; Gáspár, V.; Masere, J.; Showalter, K.; 1993, Controlling chaos in the Belousov-Zhabotinsky reac-

  tion. Nature 361, 240–243.

  Petrovskii, S. V.; Li, B.-L.; 2006, Exactly Solvable Models of Biological Invasion. Chapman and Hall/CRC,

  Boca Raton, FL.

  Planck, M.; 1914, The Theory of Heat Radiation. Masius, M. (transl.), 2nd ed, P. Blakiston’s Son & Co., Philadelphia, PA.

  Plenio, M. B.; Virmani, S.; 2007, An introduction to entanglement measures. Quant. Inf. Comp. 7, 1–51.

  Plosser, C. I.; 1989, Understanding real business cycles. J. Econ. Perspect. 3, 51–77.

  Poincaré, H.; 1908, Science and Method. Thomas Nelson and Sons, London, Edinburgh, Dublin and New York.

  Pojman, J. A.; Craven, R.; Leard, D. C.; 1994, Chemical oscillations and waves in the physical chemistry lab.

  J. Chem. Edu. 71, 84–90.

  Popper, K. R.; 1972, Of clouds and clocks. pp. 206–255 in Objective Knowledge. An Evolutionary Approach.

  revised edition, Oxford University Press, Oxford.

  Poros, E.; Horváth, V.; Kurin-Csörgei, K.; Epstein, I. R.; Orbán, M.; 2011, Generation of pH-oscillations in

  closed chemical systems: Method and applications. J. Am. Chem. Soc. 133, 7174–7179.

  Pouget, A.; Deneve, S.; Duhamel, J.-R.; 2002, A computational perspective on the neural basis of multisensory

  spatial representations. Nat. Rev. Neurosci. 3, 741–747.

  Press, W. H.; Teukolsky, S. A.; Vetterling, W. T.; Flannery, B. P.; 2007, Numerical Recipes. 3rd ed. Cambridge University Press, New York.

  Prigogine, I.; 1968, Introduction to Thermodynamics of Irreversible Processes John Wiley & Sons, New York.

  Prigogine, I.; 1978, Time, structure and fluctuations Science 201, 777–785.

  Prigogine, I.; Lefever, R.; 1968, Symmetry breaking instabilities in dissipative systems. II. J. Chem. Phys. 48, 1695–1700.

  Prigogine, I.; Stengers, I.; 1984, Order Out of Chaos. Man’s New Dialogue with Nature. Bantam Books, Inc.

  New York.

  Prypsztejn, H. E.; Mulford, D. R.; Stratton, D.; 2005, Chemiluminescent oscillating demonstrations: The

  chemical buoy, the lighting wave, and the ghostly cylinder. J. Chem. Edu. 82, 53–54.

  Puhl, A.; Nicolis, G.; 1987, Normal form analysis of multiple bifurcations in incompletely mixed chemical

  reactors. J. Chem. Phys. 87, 1070–1078.

  Purcell, O.; Savery, N. J.; Grierson, C. S.; di Bernardo, M.; 2010, A comparative analysis of synthetic genetic

  oscillators. J. R. Soc. Interface 7, 1503–1524.

  Qiu, M.; Khisamutdinov, E.; Zhao, Z.; Pan, C.; Choi, J.-W.; Leontis, N. B.; Guo, P.; 2013, RNA nanotechnol-

  ogy for computer design and in vivo computation. Phil. Trans. R. Soc. A 371, 20120310.

  Quinlan, M. E.; 2016, Cytoplasmic streaming in the Drosophila oocyte. Annu. Rev. Cell Dev. Biol. 32,

  173–195.

  Rábai, Gy.; 1997, Period-doubling routing to chaos in the hydrogen peroxide-sulfur(IV)-hydrogen carbonate

  flow system. J. Phys. Chem. A 101, 7085–7089.

  Rábai, Gy.; 2011, pH-oscillations in a closed chemical system of CaSO -H O -HCO −.

  3

  2

  2

  3

  Phys. Chem. Chem.

  Phys. 13, 13604–13606.

  Rábai, Gy.; Beck, M. T.; 1988, Exotic kinetic phenomena and their chemical explanation in the iodate-sulfite-

  thiosulfate system. J. Phys. Chem. 92, 2804–2807.

  Rábai, Gy.; Beck, M. T.; Kustin, K.; Epstein, I. R.; 1989a, Sustained and damped pH oscillation in the peri-

  odate-thiosulfate reaction in a continuous-flow stirred tank reactor. J. Phys. Chem. 93, 2853–2858.

  Rábai, Gy.; Epstein, I. R.; 1989, Oxidation of hydroxylamine by periodate in a continuous-flow stirred tank

  reactor: A new pH oscillator. J. Phys. Chem. 93, 7556–7559.

  Rábai, Gy.; Epstein, I. R.; 1990, Large amplitude pH oscillation in the oxidation of hydroxylamine by iodate

  in a continuous-flow stirred tank reactor. J. Phys. Chem. 94, 6361–6365.

  552

  References

  Rábai, Gy.; Hanazaki, I.; 1999, Chaotic pH oscillations in the hydrogen peroxide-thiosulfate-sulfite flow sys-

  tem. J. Phys. Chem. A 103, 7268–7273.

  Rábai, Gy.; Kustin, K.; Epstein, I. R.; 1989b, A systematically designed pH oscillator: The hydrogen per-

  oxide-sulfite-ferrocyanide reaction in a continuous flow stirred tank reactor. J. Am. Chem. Soc. 111,

  3870–3874.

  Rábai, Gy.; Nagy, Z. V.; Beck, M. T.; 1987, Quantitative description of the oscillatory behavior of the iodate-

  sulfite-thiourea system in CSTR. React. Kinet. Catal. Lett. 33, 23–29.

  Rábai, Gy.; Orbán, M.; Epstein, I. R.; 1990, Design of pH-regulated oscillators. Acc. Chem. Res. 23, 258–263.

  Rácz, Z.; 1999, Formation of Liesegang patterns. Physica A 274, 50–59.

  Rand, W.; Wilensky, U.; 2007, NetLogo El Farol model. http://ccl.northwestern.edu/netlogo/models/ElFarol.

  Center for Connected Learning and Computer-Based Modeling, Northwestern Institute on Complex

  Systems, Northwestern University, Evanston, IL.

  Raspopovic, J.; Marcon, L.; Russo, L.; Sharpe, J.; 2014, Digit patterning is controlled by a Bmp-Sox9-Wnt

  Turing network modulated by morphogen gradients. Science 345, 566–570.

  Ravasz, E.; Barabási, A.-L.; 2003, Hierarchical organization in complex networks. Phys. Rev. E 67, 026112.

  Ravasz, E.; Somera, A. L.; Mongru, D. A.; Oltvai, Z. N.; Barabási, A.-L.; 2002, Hierarchical organization of

  modularity in metabolic networks. Science 297, 1551–1555.

  Reactome project: http://www.reactome.org/, visited the 14th of August 2017.

  Reale, G.; 1987, A History of Ancient Philosophy from the Origins to Socrates. State University of New York

  Press, Albany, NY.

  Reinhardt, D.; Pesce, E.-R.; Stieger, P.; Mandel, T.; Baltensperger, K.; Bennett, M.; Traas, J.; Friml, J.;

  Kuhlemeier, C.; 2003, Regulation of phyllotaxis by polar auxin transport. Nature 426, 255–260.

  Reusser, E. J.; Field, R. J.; 1979, The transition from phase waves to trigger waves in a model of the Zhabotinskii

  reaction. J. Am. Chem. Soc. 101, 1063–1071.

  Reynolds, C. W.; 1987, Flocks, herds, and schools: A distributed behavioral model. Comp. Graph. 21 (4),

  25–34.

  Rigney, D. R.; Goldberger, A. L.; Ocasio, W. C.; Ichimaru, Y.; Moody, G. B.; Mark, R. G.; 1993, Multi-channel

  physiological data: Description and analysis. pp. 105–129 in Time Series Prediction: Forecasting the

  Future and Understanding the Past. Weigend, A. S.; Gershenfeld, N. A.; (Eds.), Addison-Wesley,

  Reading, MA.

  Roederer, J. G.; 2003, On the concept of information and its role in nature. Entropy 5, 3–33.

  Romero, E.; Novoderezhkin, V. I.; van Grondelle, R.; 2017, Quantum design of photosynthesis for bio-inspired

  solar-energy conversion. Nature 543, 355–365.

  Rosenstein, M. T.; Collins, J. J.; De Luca, C. J.; 1993, A practical method for calculating largest Lyapunov

  exponents from small data sets. Physica D 65, 117–134.

  Ross, J.; Müller, S. C.; Vidal, C.; 1988, Chemical waves. Nature 240, 460–465.

  Ross, J.; Vlad, M. O.; 1999, Nonlinear kinetics and new approaches to complex reaction mechanisms. Ann.

  Rev. Phys. Chem. 50, 51–78.

  Rossi, F.; Vanag, V. K.; Epstein, I. R.; 2011, Pentanary cross-diffusion in water-in-oil microemulsions loaded

  with two components of the Belousov-Zhabotinsky reaction. Chem. Eur. J. 17, 2138–2145.

  Rothemund, P. W. K.; 2006, Folding DNA to create nanoscale shapes and patterns. Nature 440, 297–302.

  Rothschild, W. G.; 1998, Fractals in Chemistry. John Wiley & Sons, New York.

  Roy, R.; Murphy, T. W. Jr.; Maier, T. D.; Gills, Z.; Hunt, E. R.; 1992, Dynamical control of a chaotic laser:

  Experimental stabilization of a globally coupled system. Phys. Rev. Lett. 68, 1259–1262.

  Rozenberg, G.; Bäck, T.; Kok, J. N.; 2012, Handbook of Natural Computing. Springer-Verlag, Berlin, Germany.

  Rumelhart, D. E.; Durbin, R.; Golden, R.; Chauvin Y.; 1993, Backpropagation: The basic theory. Chapter 1,

  pp. 1–24 in Backpropagation: Theory, Architectures and Applications. Chauvin, Y.; Rumelhart, D. E.;

  (Eds.), Lawrence Erlbaum, Hillsdale, NJ.

  Runge, F. F.; 1855, Der Bildungstrieb der Stoffe veranschaulicht in selbständig gewachsenen Bildern.

  Selbstverlag, Oranienburg (Germany).

 

Add Fast Bookmark
Load Fast Bookmark
Turn Navi On
Turn Navi On
Turn Navi On
Scroll Up
Turn Navi On
Scroll
Turn Navi On
183