LEADER 04695nam 2200673 a 450 001 9910788570503321 005 20230725045519.0 010 $a1-283-14368-2 010 $a9786613143686 010 $a981-4271-76-4 035 $a(CKB)3360000000001316 035 $a(EBL)731334 035 $a(OCoLC)741492841 035 $a(SSID)ssj0000525154 035 $a(PQKBManifestationID)12213200 035 $a(PQKBTitleCode)TC0000525154 035 $a(PQKBWorkID)10488395 035 $a(PQKB)11084242 035 $a(MiAaPQ)EBC731334 035 $a(WSP)00007269 035 $a(Au-PeEL)EBL731334 035 $a(CaPaEBR)ebr10480228 035 $a(CaONFJC)MIL314368 035 $a(EXLCZ)993360000000001316 100 $a20100618d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe quantal theory of immunity$b[electronic resource] $ethe molecular basis of autoimmunity and leukemia /$fKendall A. Smith 210 $aSingapore ;$aHackensack, N.J. $cWorld Scientific$d2010 215 $a1 online resource (200 p.) 300 $aDescription based upon print version of record. 311 $a981-4271-75-6 320 $aIncludes bibliographical references and index. 327 $aAcknowledgements; Prologue; Contents; Chapter 1 Introduction - The Evolution of Our Understanding of the Immune System; Chapter 2 Molecular Immunology; Chapter 3 The Problem - Understanding How Molecules Direct the Behavior of Cells Comprising the Immune System; Chapter 4 The Quantal Theory of Immunity; Chapter 5 The Variability of Cell Cycle Progression and the Competence and Progression Phases of the Cell Cycle; Chapter 6 The Quantal Nature of IL-2-Promoted T Cell Cycle Progression 327 $aChapter 7 The Molecular Basis for Quantal IL-2/IL-2R Signaling of Cell Cycle Progression - TheIL-2/Receptor InteractionChapter 8 The Molecular Basis for Quantal IL-2/IL-2R Signaling of Cell CycleProgression - IL-2 and IL-2 Receptor Metabolism; Chapter 9 The Molecular Basis for Quantal IL-2/IL-2R Signaling of Cell Cycle Progression - IL-2 Receptor Signaling viathe Jak/Stat Pathway; Chapter 10 The Molecular Basis for Quantal IL-2/IL-2R Signaling of Cell Cycle Progression - IL-2 Receptor Signaling via Phospho 327 $aChapter 11 The T Cell Antigen Receptor Complex and the Quantal Regulation of the IL-2 and IL-2R GenesChapter 12 Digital Signaling via the T Cell Antigen Receptor Complex; Chapter 13 Negative Feedback Regulation of T Cell Antigen Receptor Complex Signaling - Attenuation of IL-2Gene Expression; Chapter 14 The Paradox of the IL-2 (-/-) Mouse; Chapter 15 The Scurfy Mouse; Chapter 16 Lymphopenia, Autoimmunity and the Regulatory T Cell (Treg); Chapter 17 Treg-mediated "Active Suppression" of T Cell Proliferation; Chapter 18 FOXP3, A Better ID-Tag for Tregs?; Chapter 19 Mice Versus Men 327 $aChapter 20 Active Versus Passive Suppression and IL-2 MetabolismChapter 21 FOXP3 Restricts But Does Not Suppress IL-2 Production; Chapter 22 Both the TCR and IL-2 Regulate FOXP3 Expression; Chapter 23 The Effects of FOXP3 Expression; Chapter 24 The Role of IL-2 in the Generation of Immune Responses In Vivo; Chapter 25 The Role of the IL-2r Chains in IL-2 Signaling, Consumption and Suppression of T Cell Proliferation; Chapter 26 T Cell Tissue-specific Autoimmunity; Chapter 27 Type 1 Diabetes Mellitus (T1DM), a Prototypic Genetic Autoimmune Disease with a Tie to IL-2 327 $aChapter 28 The Pathogenesis of Leukemia - Loss of Normal Quantal Growth ControlEpilogue; Index 330 $aThis book explains how the immune system functions, namely, how individual cells of the immune system make the decision to respond or not to respond to foreign microbes and molecules, and how the critical molecules function to trigger the cellular reactions in an all-or-none (quantal) manner. To date, there has not been a complete description of the immune system and its cells and molecules, primarily because most of the information has accumulated only in the last 40 years and our understanding has been expanding rapidly only in the last 20 years. It is now clear that the cells have evolved a 606 $aImmune response 606 $aInterleukin-2 606 $aT cells 615 0$aImmune response. 615 0$aInterleukin-2. 615 0$aT cells. 676 $a616.079 676 $a616.97/8 676 $a616.978 700 $aSmith$b Kendall A$01515834 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788570503321 996 $aThe quantal theory of immunity$93751849 997 $aUNINA LEADER 05426nam 22007935 450 001 9910144915503321 005 20251117003614.0 010 $a3-540-69578-8 024 7 $a10.1007/BFb0027161 035 $a(CKB)1000000000234714 035 $a(SSID)ssj0000323014 035 $a(PQKBManifestationID)11275895 035 $a(PQKBTitleCode)TC0000323014 035 $a(PQKBWorkID)10288529 035 $a(PQKB)10391376 035 $a(DE-He213)978-3-540-69578-3 035 $a(PPN)155174908 035 $a(EXLCZ)991000000000234714 100 $a20121227d1997 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Computing $eAISB International Workshop, Manchester, UK, April 7-8, 1997. Selected Papers. /$fedited by David Corne, Jonathan L. Shapiro 205 $a1st ed. 1997. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1997. 215 $a1 online resource (X, 314 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1305 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-63476-2 327 $aSimulating pricing behaviours using a genetic algorithm -- Biologically inspired computational ecologies: A case study -- Modelling bounded rationality using evolutionary techniques -- The abstract theory of evolution of the living -- An evolutionary algorithm for single objective nonlinear constrained optimization problems -- On recombinative sampling -- The evolution of mutation, plasticity and culture in cyclically changing environments -- On the structure and transformation of landscapes -- Island model genetic algorithms and linearly separable problems -- Empirical validation of the performance of a class of transient detector -- The contruction and evaluation of decision trees: A comparison of evolutionary and concept learning methods -- Parallel distributed genetic programming applied to the evolution of natural language recognisers -- Scheduling planned maintenance of the South Wales region of the National Grid -- Solving generic scheduling problems with a distributed genetic algorithm -- Directing the search of evolutionary and neighbourhood-search optimisers for the flowshop sequencing problem with an idle-time heuristic -- Multiobjective genetic algorithms for pump scheduling in water supply -- Use of rules and preferences for schedule builders in genetic algorithms for production scheduling -- A Voxel based approach to evolutionary shape optimisation -- Phase transition networks: A modelling technique supporting the evolution of autonomous agents' tactical and operational activities -- An evolutionary, agent-assisted strategy for conceptual design space decomposition -- Task scheduling with use of classifier systems. 330 $aThis book constitutes the refereed post-workshop proceedings of the AISB International Workshop on Evolutionary Computing, held in Manchester, UK, in April 1997. The 22 strictly reviewed and revised full papers presented were selected for inclusion in the book after two rounds of refereeing. The papers are organized in sections on evolutionary approaches to issues in biology and economics, problem structure and finite landscapes, evolutionary machine learning and classifier systems, evolutionary scheduling, and more techniques and applications of evolutionary algorithms. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v1305 606 $aArtificial intelligence 606 $aComputers 606 $aAlgorithms 606 $aInformation technology 606 $aBusiness?Data processing 606 $aBioinformatics 606 $aComputational biology 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aAlgorithms. 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 0$aBioinformatics. 615 0$aComputational biology. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aComputation by Abstract Devices. 615 24$aIT in Business. 615 24$aComputer Appl. in Life Sciences. 676 $a006.3/1 702 $aCorne$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShapiro$b Jonathan L.$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 02$aSociety for the Study of Artificial Intelligence and Simulation of Behaviour. 712 12$aAISB International Workshop. 906 $aBOOK 912 $a9910144915503321 996 $aEvolutionary computing$91487543 997 $aUNINA