000 03818nam a22003855i 4500
001 282411
003 MX-SnUAN
005 20160429154149.0
007 cr nn 008mamaa
008 150903s2006 ne | o |||| 0|eng d
020 _a9781402050305
_99781402050305
024 7 _a10.1007/1402050305
_2doi
035 _avtls000335008
039 9 _a201509030250
_bVLOAD
_c201404120913
_dVLOAD
_c201404090651
_dVLOAD
_y201402041249
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aSkjeltorp, Arne T.
_eeditor.
_9309080
245 1 0 _aDynamics of Complex Interconnected Systems: Networks and Bioprocesses /
_cedited by Arne T. Skjeltorp, Alexander V. Belushkin.
246 3 _aProceedings of the NATO Advanced Study Institute on Dynamics of Complex Interconnected Biosensor Systems: Networks and Bioprocesses, Geilo, Norway, 11-21 April 2005
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2006.
300 _axv, 211 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aNATO Science Series II, Mathematics, Physics and Chemistry,
_x1568-2609 ;
_v232
500 _aSpringer eBooks
505 0 _aSTRUCTURE AND COMMUNICATION IN COMPLEX NETWORKS -- EFFECTS OF COMMUNITY STRUCTURE ON SEARCH AND RANKING IN COMPLEX NETWORKS -- THE SOS RESPONSE OF BACTERIA TO DNA DAMAGE -- SELF-AFFINE SCALING DURING INTERFACIAL CRACK FRONT PROPAGATION -- DIFFUSION, FRAGMENTATION AND MERGING PROCESSES IN ICE CRYSTALS, ALPHA HELICES AND OTHER SYSTEMS -- MOLECULAR MECHANISMS IN BIOSIGNALLING: VISUAL RECEPTION -- THE ARCHITECTURE OF COMPLEXITY: FROM WWW TO CELLULAR METABOLISM -- MATHEMATICAL MODELING OF NEURAL ACTIVITY -- BRAIDED SPACE-TIME PARTICLE NETWORKS -- COMBINING OPTICAL TWEEZERS AND MICROPIPETTES FOR DNA STRETCHING: ELASTICITY OF MICROPIPETTE CRUCIAL -- UNIVERSAL NETWORKS AND PROCESSES IN SOFT AND COMPLEX MATTER: FROM NANO TO MACRO -- WHAT ECONOMISTS SHOULD LEARN FROM ECONOPHYSICS -- THE MINORITY GAME: STATISTICAL PHYSICS OF COLLECTIVE BEHAVIOUR OF ADAPTIVE AGENTS IN A COMPETITIVE MARKET.
520 _aThe book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures. Modelling the signal transduction networks in bioprocesses as in living cells is a challenging interdisciplinary research area. It is now realized that the many features of molecular interaction networks within a cell are shared to a large degree by the other complex systems mentioned above, such as the Internet, computer chips and society. Thus knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aBelushkin, Alexander V.
_eeditor.
_9309081
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781402050282
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-4020-5030-5
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c282411
_d282411