LEADER 01968nam 2200601 a 450 001 9910454444503321 005 20200520144314.0 010 $a1-60086-685-9 010 $a1-60086-466-X 010 $a1-61583-074-X 035 $a(CKB)1000000000703977 035 $a(SSID)ssj0000071948 035 $a(PQKBManifestationID)11971870 035 $a(PQKBTitleCode)TC0000071948 035 $a(PQKBWorkID)10091621 035 $a(PQKB)11058624 035 $a(MiAaPQ)EBC3111489 035 $a(Au-PeEL)EBL3111489 035 $a(CaPaEBR)ebr10516583 035 $a(OCoLC)922978880 035 $a(EXLCZ)991000000000703977 100 $a20070611d2006 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFlight vehicle system identification$b[electronic resource] $ea time domain methodology /$fby Ravindra V. Jategaonkar 210 $aReston, Va. $cAmerican Institute of Aeronautics and Astronautics$dc2006 215 $axviii, 534 p. $cill 225 1 $aProgress in astronautics and aeronautics ;$vv. 216 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-56347-836-6 320 $aIncludes bibliographical references and index. 410 0$aProgress in astronautics and aeronautics ;$vv. 216. 606 $aAerodynamics$xMathematical models 606 $aAeronautics$xMathematical models 606 $aSystem identification 606 $aTime-domain analysis 608 $aElectronic books. 615 0$aAerodynamics$xMathematical models. 615 0$aAeronautics$xMathematical models. 615 0$aSystem identification. 615 0$aTime-domain analysis. 676 $a629.130113 700 $aJategaonkar$b Ravindra V$0836721 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910454444503321 996 $aFlight vehicle system identification$91869617 997 $aUNINA LEADER 08089nam 2201573 a 450 001 9910456402603321 005 20210518030848.0 010 $a1-283-15248-7 010 $a9786613152480 010 $a1-4008-3893-2 024 7 $a10.1515/9781400838936 035 $a(CKB)2550000000041954 035 $a(EBL)726051 035 $a(OCoLC)751673771 035 $a(SSID)ssj0000520677 035 $a(PQKBManifestationID)11340931 035 $a(PQKBTitleCode)TC0000520677 035 $a(PQKBWorkID)10514930 035 $a(PQKB)10986113 035 $a(MiAaPQ)EBC726051 035 $a(StDuBDS)EDZ0000514993 035 $a(OCoLC)744592680 035 $a(MdBmJHUP)muse36959 035 $a(DE-B1597)446657 035 $a(OCoLC)979881745 035 $a(DE-B1597)9781400838936 035 $a(Au-PeEL)EBL726051 035 $a(CaPaEBR)ebr10480672 035 $a(CaONFJC)MIL315248 035 $a(EXLCZ)992550000000041954 100 $a20110323d2011 uy 0 101 0 $aeng 135 $aurun#---|uu|u 181 $ctxt 182 $cc 183 $acr 200 10$aAdaptive diversification$b[electronic resource] /$fMichael Doebeli 205 $aCourse Book 210 $aPrinceton, N.J. $cPrinceton University Press$d2011 215 $a1 online resource (346 p.) 225 1 $aMonographs in population biology ;$v48 300 $aDescription based upon print version of record. 311 0 $a0-691-12893-6 311 0 $a0-691-12894-4 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tContents --$tAcknowledgments --$tCHAPTER ONE. Introduction --$tCHAPTER TWO. Evolutionary Branching in a Classical Model for Sympatric Speciation --$tCHAPTER THREE. Adaptive Diversification Due to Resource Competition in Asexual Models --$tCHAPTER FOUR. Adaptive Diversification Due to Resource Competition in Sexual Models --$tCHAPTER FIVE. Adaptive Diversification Due to Predator-Prey Interactions --$tCHAPTER SIX. Adaptive Diversification Due to Cooperative Interactions --$tCHAPTER SEVEN. More Examples: Adaptive Diversification in Dispersal Rates, the Evolution of Anisogamy, and the Evolution of Trophic Preference --$tCHAPTER EIGHT. Cultural Evolution: Adaptive Diversification in Language and Religion --$tCHAPTER NINE. Adaptive Diversification and Speciation as Pattern Formation in Partial Differential Equation Models --$tCHAPTER TEN. Experimental Evolution of Adaptive Diversification in Microbes --$tAPPENDIX. Basic Concepts in Adaptive Dynamics --$tBibliography --$tIndex 330 $a"Understanding the mechanisms driving biological diversity remains a central problem in ecology and evolutionary biology. Traditional explanations assume that differences in selection pressures lead to different adaptations in geographically separated locations. This book takes a different approach and explores adaptive diversification--diversification rooted in ecological interactions and frequency-dependent selection. In any ecosystem, birth and death rates of individuals are affected by interactions with other individuals. What is an advantageous phenotype therefore depends on the phenotype of other individuals, and it may often be best to be ecologically different from the majority phenotype. Such rare-type advantage is a hallmark of frequency-dependent selection and opens the scope for processes of diversification that require ecological contact rather than geographical isolation. Michael Doebeli investigates adaptive diversification using the mathematical framework of adaptive dynamics. Evolutionary branching is a paradigmatic feature of adaptive dynamics that serves as a basic metaphor for adaptive diversification, and Doebeli explores the scope of evolutionary branching in many different ecological scenarios, including models of coevolution, cooperation, and cultural evolution. He also uses alternative modeling approaches. Stochastic, individual-based models are particularly useful for studying adaptive speciation in sexual populations, and partial differential equation models confirm the pervasiveness of adaptive diversification. Showing that frequency-dependent interactions are an important driver of biological diversity, Adaptive Diversification provides a comprehensive theoretical treatment of adaptive diversification"--$cProvided by publisher. 330 $a"Adaptive biological diversification occurs when frequency-dependent selection generates advantages for rare phenotypes and induces a split of an ancestral lineage into multiple descendant lineages. Using adaptive dynamics theory, individual-based simulations, and partial differential equation models, this book illustrates that adaptive diversification due to frequency-dependent ecological interaction is a theoretically ubiquitous phenomenon"--$cProvided by publisher. 410 0$aMonographs in population biology ;$v48. 606 $aAdaptation (Biology)$xMathematical models 606 $aBiodiversity$xMathematical models 606 $aEvolution (Biology)$xMathematical models 608 $aElectronic books. 610 $aLotka?olterra models. 610 $aMaynard Smith model. 610 $aRichard Lenski. 610 $aadaptive diversification. 610 $aadaptive dynamics theory. 610 $aadaptive dynamics. 610 $aadaptive speciation. 610 $aanisogamy. 610 $aasexual speciation. 610 $aassortative mating. 610 $abiological diversity. 610 $aclonal models. 610 $acoevolution. 610 $acoevolutionary dynamics. 610 $aconformist cultures. 610 $acooperative interactions. 610 $acrossfeeding. 610 $acultural evolution. 610 $adispersal rates. 610 $adisruptive selection. 610 $adiverging phenotypic clusters. 610 $adiversification. 610 $aecological character displacement. 610 $aecological dynamics. 610 $aecology. 610 $aecosystem. 610 $aevolutionary biology. 610 $aevolutionary branching. 610 $aevolutionary dynamics. 610 $aevolutionary processes. 610 $aevolutionary trajectory. 610 $aexperimental evolution. 610 $afrequency dependence. 610 $afrequency independence. 610 $afrequency-dependent competition. 610 $afrequency-dependent interactions. 610 $afrequency-dependent selection. 610 $agamete size. 610 $aindividual-based models. 610 $aintraspecific cooperation. 610 $alanguage memes. 610 $alanguage. 610 $amainstream culture. 610 $amathematical modeling. 610 $amating populations. 610 $amicrobes. 610 $amutualism. 610 $amutualistic interactions. 610 $aniche ecology. 610 $apartial differential equation models. 610 $apattern formation. 610 $aphenotype distributions. 610 $aphenotype. 610 $aphenotypic differentiation. 610 $aphenotypic divergence. 610 $apolymorphic populations. 610 $apolymorphism. 610 $apolymorphisms. 610 $apredation. 610 $apredator?rey interactions. 610 $aprezygotic reproductive isolation. 610 $areligion. 610 $areligious diversification. 610 $areproductive isolation. 610 $aresource competition. 610 $asexual populations. 610 $asexual reproduction. 610 $aspeciation model. 610 $atrophic preference. 615 0$aAdaptation (Biology)$xMathematical models. 615 0$aBiodiversity$xMathematical models. 615 0$aEvolution (Biology)$xMathematical models. 676 $a578.4 700 $aDoebeli$b Michael$f1961-$01044162 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456402603321 996 $aAdaptive diversification$92469629 997 $aUNINA LEADER 03292nam 22005773 450 001 996478860503316 005 20220922201658.0 010 $a3-031-05276-5 035 $a(CKB)5860000000053522 035 $a(MiAaPQ)EBC7018666 035 $a(Au-PeEL)EBL7018666 035 $a(OCoLC)1331562348 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/87743 035 $a(PPN)269150552 035 $a(EXLCZ)995860000000053522 100 $a20220919d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital transformation in Norwegian Enterprises /$feditors, Patrick Mikalef, Elena Parmiggiani 210 $aCham$cSpringer Nature$d2022 210 1$aCham :$cSpringer International Publishing AG,$d2022. 210 4$dİ2022. 215 $a1 online resource (xiv, 196 pages) $cillustrations (some color) 311 1 $a3-031-05275-7 327 $aAn Introduction to Digital Transformation The Case of Norway and Digital Transformation over the Years Part I: Private Enterprises From Integrated to Remote Operations: Digital Transformation in the Energy Industry as Infrastructuring The Norwegian Mobile Telephony and Internet Markets Digital Transformation in Renewable Energy: Use Cases and Experiences from a Nordic Power Producer From Intention to Use to Active Use of a Mobile Application in Norwegian ETO Manufacturing Part II: Public Enterprises Digital Transformation in NAV IT 2016?2020: Key Factors for the Journey of Change Improving Digitization of Urban Mobility Services with Enterprise Architecture Operating Room of the Future (FOR) Digital Healthcare Transformation in the Age of Artificial Intelligence Part III: Synthesis A Framework for Digital Transformation for Research and Practice: Putting Things into Perspective The Way Forward: A Practical Guideline for Successful Digital Transformation Concluding Remarks and Final Thoughts on Digital Transformation 330 $aThis open access book presents a number of case studies on digital transformation in Norway, one of the fore-runners in the digital progress index established by the European Commission in 2020. They explore the process of adoption, diffusion and value generation from digital technologies, and how the use of different digital solutions has enabled Norwegian enterprises to digitally transform their operations and business models. 606 $aBusiness enterprises$zNorway 606 $aTechnological innovations$zNorway$xManagement 610 $aDigital Transformation 610 $aDisruptive Technologies 610 $aInnovation Management 610 $aDigitization 610 $aDigitalization 610 $aService Science 610 $aNorwegian Industry 610 $aInformation Systems 615 0$aBusiness enterprises 615 0$aTechnological innovations$xManagement. 700 $aMikalef$b Patrick$4edt$01255093 701 $aMikalef$b Patrick$01255093 701 $aParmiggiani$b Elena$01255094 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996478860503316 996 $aDigital Transformation in Norwegian Enterprises$92910174 997 $aUNISA