LEADER 01016cam0-22003611i-450- 001 990003122260403321 005 20060505132848.0 010 $a0-415-10025-9 035 $a000312226 035 $aFED01000312226 035 $a(Aleph)000312226FED01 035 $a000312226 100 $a20030910d1994----km-y0itay50------ba 101 0 $aeng 102 $aGB$aUS 105 $aa-------001yy 200 1 $aMacroeconomics for developing countries$fRaghbendra Jha 210 $aLondon ; New York$cRoutledge$d1994 215 $aVIII, 321 p.$cill.$d24 cm 610 0 $aPaesi in via di sviluppo$aPolitica macroeconomica 676 $a330.9 700 1$aJha,$bRaghbendra$0124901 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003122260403321 952 $aF/3.2 JHA$b16136$fSES 952 $aXV O2 297$b16225$fDTE 952 $aVI A 1477$b30846$fFSPBC 959 $aSES 959 $aDTE 959 $aFSPBC 996 $aMacroeconomics for developing countries$9461463 997 $aUNINA LEADER 05573nam 22007095 450 001 9910254576603321 005 20240814133534.0 010 $a94-024-1160-7 024 7 $a10.1007/978-94-024-1160-7 035 $a(CKB)4340000000061882 035 $a(DE-He213)978-94-024-1160-7 035 $a(MiAaPQ)EBC5577706 035 $a(PPN)203669304 035 $a(EXLCZ)994340000000061882 100 $a20170724d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModelling Protocells $eThe Emergent Synchronization of Reproduction and Molecular Replication /$fby Roberto Serra, Marco Villani 205 $a1st ed. 2017. 210 1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2017. 215 $a1 online resource (XV, 182 p. 46 illus., 33 illus. in color.) 225 1 $aUnderstanding Complex Systems,$x1860-0832 311 $a94-024-1158-5 320 $aIncludes bibliographical references and index. 327 $aForeword -- Introduction -- About protocells -- Why modelling protocells -- Collective self-replication -- Self-replication in a vesicle -- Self-replication in a reproducing protocell -- Generic properties of dynamical models of protocells -- Introduction. -Generic properties of biological systems: data -- Generic properties of biological systems: concepts -- What shall we model -- Dynamical models of protocells and synchronization -- Simplified surface-reaction models of protocells -- Synchronization in surface reaction models -- Several linearly interacting replicators -- Several interacting replicators with nonlinear interactions -- Internal reaction models -- Models of self-replication -- Introduction -- Autocatalytic sets -- The properties of some replication models -- Products and substrates -- Reflexive autocatalytic food-generated (raf) sets -- A stochastic model of growing and dividing protocells -- Semipermeable protocells -- The role of active membranes -- The effects of passive membranes -- Coupled dynamics of rafs and protocells -- Maintaining novelties.-A comment on evolvable populations of protocells -- Conclusions, open questions and perspectives -- Introduction -- The hypothesis of spontaneous fission and synchronization -- The formation of self-sustaining autocatalytic cycles -- The role of membranes -- A virtual laboratory. 330 $aThe monograph discusses models of synthetic protocells, which are cell-like structures obtained from non-living matter endowed with some rudimentary kind of metabolism and genetics, but much simpler than biological cells. They should grow and proliferate, generating offsprings that resemble in some way the parent protocells with some variation, so that selection may take place. Sustainable protocell populations have not yet been obtained experimentally and mathematical models are therefore extremely important to address key questions concerning their synthesis and behavior. Different protocell ?architectures? have been proposed and high-level abstract models like those that are presented in this book are particularly relevant to gain a better understanding of the different properites. These models are able to treat all the major dynamical phenomena in a unified framework, so they can be seen as ?virtual laboratories? for protocell research. Particular attention is paid to the problem of synchronization of the fission rate of the whole protocell and the duplication rate of its "protogenetic" material, which is shown to be an emergent property that spontaneously develops in successive generations. The book is of interest for a broad range of scientists working in soft matter physics, chemistry and biology, interested in the role protocells may play on the development of new technologies with medical, environmental and industrial applications as well as scientists interested in the origin of life. 410 0$aUnderstanding Complex Systems,$x1860-0832 606 $aStatistical physics 606 $aDynamics 606 $aBiophysics 606 $aBiophysics 606 $aEvolution (Biology) 606 $aBiotechnology 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008 606 $aEvolutionary Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L21001 606 $aBiotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/C12002 606 $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090 615 0$aStatistical physics. 615 0$aDynamics. 615 0$aBiophysics. 615 0$aBiophysics. 615 0$aEvolution (Biology) 615 0$aBiotechnology. 615 14$aComplex Systems. 615 24$aBiological and Medical Physics, Biophysics. 615 24$aEvolutionary Biology. 615 24$aBiotechnology. 615 24$aStatistical Physics and Dynamical Systems. 676 $a660.6 700 $aSerra$b Roberto$f1952-$4aut$4http://id.loc.gov/vocabulary/relators/aut$027458 702 $aVillani$b Marco$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254576603321 996 $aModelling Protocells$92222477 997 $aUNINA