13th International Conference on Membrane Computing - MTA Sztaki

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T. Ahmed, G. DeLancy, A. Paun 14. H. Hassani, S. Amiri, et al.: The eciency of noise reduction for curve tting in growth curve models. Umea: Centre of Biostochastics, Swedish University of Agricultural Sciences (2008) 15. I. Lestas, G. Vinnicombe, and J. Paulsson: Fundamental limits on the suppression of molecular uctuations. Nature 467 (2010) 174-178 16. J. Jost: Dynamical systems examples of complex behaviour. Berlin, New York: Springer (2005) 17. L. Bertalany: General system theory. 9 New York: Braziller (1984) 18. L. Segel: Design principles for the immune system and other distributed autonomous systems. Oxford, New York: Oxford University Press (2001) 19. S. Hong, X. Cui, S. Li, N. C. T. June, K. Kwack, and H. Kim: Noise removal for multi-echo MR images using global enhancement. (2010) 3616-3621 20. V. Manca: Log-gain Principles for Metabolic P Systems. Algorithmic Bioprocesses. A. Condon, D. Harel, J. N. Kok, A. Salomaa, and E. Winfree (eds.) Berlin, Heidelberg: Springer Berlin Heidelberg (2009) 585-605 21. V. Manca: Topics and problems in metabolic P systems. Membrane computing (2006) 173-183. 22. V. Manca and L. Bianco: Biological networks in metabolic P systems. Bio Systems 91 (2008) 489-498 23. V. Manca, A. Castellini, F. Giuditta, L. Marchetti, and R. Pagliarini MetaPlab 1.2 User Guide. (2010) 82
A case-study on the influence of noise to log-gain principles for flux dynamic discovery 6 Appendix Fig. 22. MP-Graph representation of MPF model for Table 1 and 2 83
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Erzsébet Csuhaj-Varjú Marian Gheo
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Editors Erzsébet Csuhaj-Varjú Dep
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Preface In addition to the texts or
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Contents M.A. Martínez-del-Amor, I
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13th Inter
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(Tissue) P systems with decaying ob
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Page 51 and 52: Turing’s three pioneering initiat
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Page 60 and 61: Yu. Rogozhin this obstacle and to g
Page 62 and 63: Yu. Rogozhin 10. J. Cocke, M. Minsk
Page 64 and 65: M. Stannett The question arises, wh
Page 67: Regular Contributions
Page 70 and 71: T. Ahmed, G. DeLancy, A. Paun almos
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Page 89 and 90: Asynchronuous and maximally paralle
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B. Aman, G. Ciobanu Definition 3. A
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B. Aman, G. Ciobanu { w i , for all
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B. Aman, G. Ciobanu The four transi
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B. Aman, G. Ciobanu A state space i
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B. Aman, G. Ciobanu to reiterate th
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13th Inter
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On structures and behaviors of spik
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L. Cienciala, L. Ciencialová, M. P
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H. ElGindy, R. Nicolescu, H. Wu pat
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H. ElGindy, R. Nicolescu, H. Wu pro
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H. ElGindy, R. Nicolescu, H. Wu (b)
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H. ElGindy, R. Nicolescu, H. Wu 8 r
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H. ElGindy, R. Nicolescu, H. Wu Pse
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H. ElGindy, R. Nicolescu, H. Wu to
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H. ElGindy, R. Nicolescu, H. Wu ter
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H. ElGindy, R. Nicolescu, H. Wu 4.
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H. ElGindy, R. Nicolescu, H. Wu Tab
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H. ElGindy, R. Nicolescu, H. Wu 6 R
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H. ElGindy, R. Nicolescu, H. Wu (wh
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A formal framework for P systems wi
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A new approach for solving SAT by P
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Maintenance of chronobiological inf
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4 3.5 3 2.5 2 1.5 1 0.5 0 0 50 100
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Using a kernel P system to solve th
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Spiking neural P systems with funct
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L.F. Macías-Ramos, M.J. Pérez-Jim
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M.A. Martínez-del-Amor, I. Pérez-
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Membranes with local environments A
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Membranes with local environments T
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Membranes with local environments -
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Membranes with local environments -
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Membranes with local environments I
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On efficient algorithms for SAT dis
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On efficient algorithms for SAT 2 S
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On efficient algorithms for SAT 2.4
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On efficient algorithms for SAT inc
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On efficient algorithms for SAT •
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On efficient algorithms for SAT Not
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On efficient algorithms for SAT the
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On efficient algorithms for SAT 32.
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A. Obtu̷lowicz - its underlying tr
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A. Obtu̷lowicz 2−ramification
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A. Obtu̷lowicz The correctness of
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A. Obtu̷lowicz The arcs (links) fr
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An analysis of correlative and quan
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Sublinear-space P systems with acti
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Modelling ecological systems with t
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D. Sburlan hence one can gather use
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D. Sburlan represents a 0L system.
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D. Sburlan assuming that M is in a
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D. Sburlan q 1 {t−, T 1 ↓, T 2
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D. Sburlan In case of M, the states
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D. Sburlan We introduced a formal s
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P. Sosík [9, 10], several research
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P. Sosík The rules of a system lik
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P. Sosík 1. The family Π is polyn
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P. Sosík (a) subsequently and recu
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P. Sosík contentFinal = content(l,
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P. Sosík Hence, with the aid of th
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P. Sosík 8. Lakshmanan K. and Rama
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S. Verlan, J. Quiros more relevance
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S. Verlan, J. Quiros For a regular
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S. Verlan, J. Quiros digital FPGA c
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S. Verlan, J. Quiros where k j = N
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S. Verlan, J. Quiros Now let us con
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S. Verlan, J. Quiros We consider a
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S. Verlan, J. Quiros the present co
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S. Verlan, J. Quiros Table 2 gives
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S. Verlan, J. Quiros Using similar
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S. Verlan, J. Quiros 5. M. Maliţa,
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Simplifying Event-B models of P sys
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Author Index Adorna H., 143 Agrigor
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13th International Conference on Membrane Computing - MTA Sztaki

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