LEADER 01374nam 2200397 450 001 000012149 005 20101221112822.0 010 $a0-85312-062-5$b(Ellis Horwood Limited) 010 $a0-470-27100-0$b(Halsted Press) 100 $a20030407d1981----km-y0itay0103----ba 101 0 $aeng 102 $aGB 200 1 $aBiosynthesis of natural products$fPaolo Manitto$gtranslation editor: P. G. Sammes 210 $aChichester$cEllis Horwood$d1981 215 $a548 p.$d24 cm. 300 $aSul front. il distributore: Halsted Press 606 $aBiosintesi 676 $a572.45$v(21. ed.)$9Biosintesi 700 1$aManitto,$bPaolo$075409 702 1$aSammes,$bP. G. 801 0$aIT$bUniversitą della Basilicata - B.I.A.$gRICA$2unimarc 912 $a000012149 996 $aBiosynthesis of natural products$978215 997 $aUNIBAS BAS $aMONSCI BAS $aSCIENZE CAT $aSTD018$b01$c20030407$lBAS01$h1058 CAT $aTORRE$b20$c20030409$lBAS01$h1137 CAT $c20050601$lBAS01$h1754 CAT $abatch$b01$c20050718$lBAS01$h1051 CAT $c20050718$lBAS01$h1110 CAT $c20050718$lBAS01$h1140 CAT $c20050718$lBAS01$h1154 CAT $aTTM$b30$c20101221$lBAS01$h1128 FMT Z30 -1$lBAS01$LBAS01$mBOOK$1BASA2$APolo Tecnico-Scientifico$2DID$BDidattica$3PTS.c3.p4.18$6453$5S453$820030407$f98$FConsultazione LEADER 03780nam 22006612 450 001 9910454704803321 005 20151005020620.0 010 $a1-107-18412-6 010 $a1-281-75117-0 010 $a9786611751173 010 $a0-511-41450-1 010 $a0-511-48690-1 010 $a0-511-41518-4 010 $a0-511-41289-4 010 $a0-511-41196-0 010 $a0-511-41381-5 035 $a(CKB)1000000000536859 035 $a(EBL)352993 035 $a(OCoLC)476173735 035 $a(SSID)ssj0000188930 035 $a(PQKBManifestationID)11173443 035 $a(PQKBTitleCode)TC0000188930 035 $a(PQKBWorkID)10153774 035 $a(PQKB)11272561 035 $a(UkCbUP)CR9780511486906 035 $a(MiAaPQ)EBC352993 035 $a(Au-PeEL)EBL352993 035 $a(CaPaEBR)ebr10240323 035 $a(CaONFJC)MIL175117 035 $a(EXLCZ)991000000000536859 100 $a20090226d2008|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLanguage classification $ehistory and method /$fLyle Campbell and William J. Poser$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2008. 215 $a1 online resource (ix, 536 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-88005-X 320 $aIncludes bibliographical references (p. 416-507) and index. 327 $aIntroduction: how are languages shown to be related to one another? -- The beginning of comparative linguistics -- "Asiatic Jones, oriental Jones": Sir William Jones' role in the raise of comparative linguistics -- Consolidation of comparative linguistics -- How some languages were shown to belong to indo-European -- Comparative linguistics of other language families and regions -- How to show languages are related: the methods -- The philosophical-psychological-typological-evolutionary approach to language relationships -- Assessment of proposed distant generic relationships -- Beyond the comparative method? -- Why and how do languages diversify and spread? -- What can we learn about the earliest human language by comparing languages known today? -- Conclusions: Anticipating the future -- Appendix: Hypothesized distant genetic relationships. 330 $aHow are relationships established between the world's languages? This is one of the most topical and most controversial questions in contemporary linguistics. The central aims of this book are to answer this question, to cut through the controversies, and to contribute to research in distant genetic relationships. In doing this the authors aim to: (1) show how the methods have been employed; (2) reveal which methods, techniques, and strategies have proven successful and which ones have proven ineffective; (3) determine how particular language families were established; (4) evaluate several of the most prominent and more controversial proposals of distant genetic relationship (such as Amerind, Nostratic, Eurasiatic, Proto-World, and others); and (5) make recommendations for practice in future research. This book will contribute significantly to understanding language classification in general. 606 $aComparative linguistics 606 $aLanguage and languages$vClassification 615 0$aComparative linguistics. 615 0$aLanguage and languages 676 $a401/.2 686 $a17.14$2bcl 700 $aCampbell$b Lyle$0165426 702 $aPoser$b William John 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910454704803321 996 $aLanguage classification$92465886 997 $aUNINA LEADER 06466nam 2200433 450 001 996464505803316 005 20220327094723.0 010 $a981-16-1566-7 035 $a(CKB)5590000000519725 035 $a(MiAaPQ)EBC6676032 035 $a(Au-PeEL)EBL6676032 035 $a(OCoLC)1260343922 035 $a(PPN)25830751X 035 $a(EXLCZ)995590000000519725 100 $a20220327d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMembrane computing models $eimplementations /$fGexiang Zhang [and six others] 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (291 pages) 311 $a981-16-1565-9 327 $aIntro -- Foreword -- Preface -- Acknowledgments -- Contents -- Acronyms -- 1 Introduction -- 1.1 Membrane Computing Overview -- 1.2 Software Implementation of P Systems -- 1.3 Hardware Implementation of P Systems -- 1.4 Challenges of P Systems Implementation -- 1.5 Concluding Remarks -- References -- 2 P Systems Implementation on P-Lingua Framework -- 2.1 Introduction -- 2.2 P-Lingua Language -- 2.2.1 P System Models -- 2.2.2 Membrane Structure -- 2.2.3 Initial Multisets -- 2.2.4 P System Rules -- 2.3 Simulation Algorithms -- 2.4 Membrane Computing Simulator (MeCoSim) -- 2.4.1 Primary goals -- 2.4.2 Main Functional Components -- 2.5 Conclusion -- References -- 3 Applications of Software Implementations of P Systems -- 3.1 Introduction -- 3.2 Automatic Design of Cell-Like P Systems with P-Lingua -- 3.2.1 Preliminaries -- 3.2.1.1 Alphabet and Multisets -- 3.2.1.2 Rooted Tree -- 3.2.1.3 Cell-Like P System/Transition P System -- 3.2.2 Automatic Design of P Systems with an Elitist Genetic Algorithm -- 3.2.2.1 Problem Statement -- 3.2.2.2 Design Method -- 3.2.3 Automatic Design of P Systems with a Permutation Penalty Genetic Algorithm -- 3.3 Automatic Design of Spiking Neural P Systems with P-Lingua -- 3.4 Modelling Real Ecosystems with MeCoSim -- 3.4.1 Problem Description -- 3.5 Robot Motion Planning -- 3.5.1 Problem Definition -- 3.5.2 Path Planning for Mobile Robots -- 3.5.3 Rapidly-Exploring Random Tree (RRT) Algorithm -- 3.6 Conclusion -- References -- 4 Infobiotics Workbench: An In Silico Software Suite for Computational Systems Biology -- 4.1 Introduction -- 4.2 Stochastic P Systems -- 4.3 Software Description -- 4.3.1 Simulation -- 4.3.2 Verification -- 4.3.3 Optimization -- 4.4 Case Studies -- 4.4.1 Pulse generator -- 4.4.2 Repressilator -- 4.5 KPWorkbench: A Qualitative Analysis Tool -- 4.6 Next-Generation Infobiotics for Synthetic Biology. 327 $a4.7 Conclusion -- References -- 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-Inspired Approaches (JENA) -- 5.1 Introduction -- 5.2 JENA at a Glance and Its Descriptive Capacity -- 5.2.1 Atoms, Ions, Molecules, and Particles -- 5.2.2 Vessels and Delimiters -- 5.2.3 Brownian Motion and Thermodynamics -- 5.2.4 Chemical Reactions by Effective Collisions and by Spontaneous Decay -- 5.2.5 Applying External Forces -- 5.2.6 Active Membranes and Dynamical Delimiters -- 5.2.7 Simulation, Monitoring, Logging, and Analyses -- 5.3 JENA Source Code Design -- 5.4 Selection of JENA Case Studies -- 5.4.1 Chemical Lotka-Volterra Oscillator -- 5.4.2 Electrophoresis -- 5.4.3 Centrifugation -- 5.4.4 Neural Signal Transduction Across Synaptic Cleft -- 5.5 Conclusions and Prospectives -- References -- 6 P Systems Implementation on GPUs -- 6.1 Introduction -- 6.2 GPU Computing -- 6.2.1 The Graphics Processing Unit -- 6.2.2 CUDA Programming Model -- 6.2.3 GPU Architecture -- 6.2.4 Good Practices -- 6.3 Generic Simulations -- 6.3.1 Definition -- 6.3.2 Simulating P Systems with Active Membranes -- 6.3.2.1 Recognizer P Systems with Active Membranes -- 6.3.2.2 Simulation Algorithm -- 6.3.2.3 Sequential Simulator -- 6.3.2.4 Parallel Simulation on CUDA -- 6.3.2.5 Performance Comparative Analysis -- 6.3.3 Simulating Population Dynamics P Systems -- 6.3.3.1 Population Dynamics P Systems -- 6.3.3.2 Simulation Algorithm -- 6.3.3.3 Design of the Parallel Simulator -- 6.3.3.4 GPU Implementation of the DCBA Phases -- 6.3.3.5 Performance Results of the Simulator -- 6.4 Specific Simulations -- 6.4.1 Definition -- 6.4.2 Simulating a SAT Solution with Active Membrane P Systems -- 6.4.2.1 SAT Solution with Active Membranes -- 6.4.2.2 Sequential Simulator and Data Structures -- 6.4.2.3 Design of the GPU Simulator -- 6.4.2.4 Performance Analysis. 327 $a6.4.3 Simulating a SAT Solution with Tissue P Systems -- 6.4.3.1 Recognizer Tissue P System with Cell Division -- 6.4.3.2 SAT Solution with Tissue P Systems -- 6.4.3.3 Sequential Simulation and Data Structure -- 6.4.3.4 Design of the Parallel Simulator -- 6.4.3.5 Performance Analysis -- 6.5 Adaptive Simulations -- 6.5.1 Definition -- 6.5.2 Simulating Population Dynamics P Systems -- 6.5.2.1 Analysis of Performance Results -- 6.6 Conclusions -- References -- 7 P Systems Implementation on FPGA -- 7.1 Introduction -- 7.2 FPGA Hardware -- 7.3 Generalized Numerical P Systems (GNPS) -- 7.3.1 Formal Definition -- 7.3.2 Basic Variant -- 7.3.3 Historical Remarks -- 7.4 Implementing GNPS on FPGA -- 7.5 FPGA Implementations of Other Models of P Systems -- 7.5.1 Petreska and Teuscher Implementation -- 7.5.2 Nguyen Implementation -- 7.5.3 Quiros and Verlan Implementation -- 7.5.4 Comments -- 7.6 Discussion -- 7.7 Conclusion -- References -- 8 Applications of Hardware Implementation of P Systems -- 8.1 Introduction -- 8.2 Robot Membrane Controllers with FPGA Implementation -- 8.2.1 Numerical P Systems-Based Membrane Controllers on FPGA -- 8.2.2 Enzymatic Numerical P Systems (ENPS)-Based Membrane Controllers on FPGA -- 8.2.3 GNPS-Based Membrane Controllers on FPGA -- 8.3 Robot Path Planning with FPGA Implementation -- 8.3.1 RRT Algorithm -- 8.3.2 Arithmetic Units Design -- 8.3.3 Enzymatic Numerical P System Rapid-Exploring Random Tree Register Transfer Level (ENPS-RRT RTL) Model Design -- 8.3.4 ENPS-RRT on FPGA -- 8.4 Conclusion -- References -- Index. 606 $aNatural computation 615 0$aNatural computation. 676 $a006.38 700 $aZhang$b Gexiang$0933282 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464505803316 996 $aMembrane computing models$92814150 997 $aUNISA