Zobrazeno 1 - 10
of 2 796
pro vyhledávání: '"self-organized networks"'
Autor:
Phillips, J. C.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Apr 01. 117(14), 7799-7802.
Externí odkaz:
https://www.jstor.org/stable/26929726
Autor:
Phillips, J. C.
Cytoskeletons are self organized networks based on polymerized proteins, actin, tubulin, and driven by motor proteins, such as myosin, kinesin and dynein. Their positive Darwinian evolution enables them to approach optimized functionality self organi
Externí odkaz:
http://arxiv.org/abs/2003.10962
Autor:
Phillips, J. C.
Cytoskeletons are self-organized networks based on polymerized proteins: actin, tubulin, and driven by motor proteins, such as myosin, kinesin and dynein. Their positive Darwinian evolution enables them to approach optimized functionality (self-organ
Externí odkaz:
http://arxiv.org/abs/2011.01873
Autor:
Phillips, J. C.
Cytoskeletons are self-organized networks based on polymerized proteins: actin, tubulin, and driven by motor proteins, such as myosin, kinesin and dynein. Their positive Darwinian evolution enables them to approach optimized functionality (self-organ
Externí odkaz:
http://arxiv.org/abs/2008.08668
Autor:
Ali, Zoraze, Miozzo, Marco, Giupponi, Lorenza, Dini, Paolo, Denic, Stojan, Vassaki, Stavroula
In this paper, we discuss a handover management scheme for Next Generation Self-Organized Networks. We propose to extract experience from full protocol stack data, to make smart handover decisions in a multi-cell scenario, where users move and are ch
Externí odkaz:
http://arxiv.org/abs/2006.06526
Publikováno v:
Phys. Rev. E 95, 042303 (2017)
In a recent work, mean-field analysis and computer simulations were employed to analyze critical self-organization in networks of excitable cellular automata where randomly chosen synapses in the network were depressed after each spike (the so-called
Externí odkaz:
http://arxiv.org/abs/1604.05779
Autor:
Laurienti, Paul J., Joyce, Karen E., Telesford, Qawi K., Burdette, Jonathan H., Hayasaka, Satoru
Publikováno v:
Physica A 390: 3608-3613 (2011)
There is an abundance of literature on complex networks describing a variety of relationships among units in social, biological, and technological systems. Such networks, consisting of interconnected nodes, are often self-organized, naturally emergin
Externí odkaz:
http://arxiv.org/abs/1011.1228
Autor:
Phillips, J. C.
The self-organized dopant percolative filamentary model, entirely orbital in character (no fictive spins), predicted the existence and even the ~ 3 nm diameters of gap nanodomains (discovered by STM) that amazed almost all theorists in this field. He
Externí odkaz:
http://arxiv.org/abs/cond-mat/0611223
Autor:
Phillips, J. C.
The self-organized dopant percolative filamentary model, entirely orbital in character (no fictive spins), explains the evolution with doping of Fermi arcs observed by ARPES, including the previously unexplained abrupt transitions in quasiparticle st
Externí odkaz:
http://arxiv.org/abs/cond-mat/0611186
Self-Organized Networks and Lattice Effects in High Temperature Superconductors I: Lattice Softening
Autor:
Phillips, J. C.
The self-organized dopant percolative filamentary model, entirely orbital in character (no fictive spins), explains chemical trends in superconductive transition temperatures Tc, assuming that Cooper pairs are formed near dopants because attractive e
Externí odkaz:
http://arxiv.org/abs/cond-mat/0611089