LEADER 04222nam 2200973 450 001 9910824515303321 005 20230126212949.0 010 $a0-520-96183-8 024 7 $a10.1525/9780520961838 035 $a(CKB)3710000000430944 035 $a(EBL)2025594 035 $a(SSID)ssj0001497336 035 $a(PQKBManifestationID)11945496 035 $a(PQKBTitleCode)TC0001497336 035 $a(PQKBWorkID)11493615 035 $a(PQKB)10461603 035 $a(MiAaPQ)EBC2025594 035 $a(OCoLC)910935596 035 $a(MdBmJHUP)muse47188 035 $a(DE-B1597)519607 035 $a(DE-B1597)9780520961838 035 $a(Au-PeEL)EBL2025594 035 $a(CaPaEBR)ebr11065014 035 $a(CaONFJC)MIL797639 035 $a(EXLCZ)993710000000430944 100 $a20150624h20152015 uy 0 101 0 $aeng 135 $aur|nu---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aBecoming salmon $eaquaculture and the domestication of a fish /$fMarianne Elisabeth Lien 210 1$aOakland, California :$cUniversity of California Press,$d2015. 210 4$d©2015 215 $a1 online resource (233 p.) 225 1 $aCalifornia Studies in Food and Culture ;$v55 300 $aDescription based upon print version of record. 311 0 $a0-520-28057-1 311 0 $a0-520-28056-3 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tContents --$tIllustrations --$tAcknowledgments --$t1. Introduction: Salmon in the Making --$t2. Tracking Salmon --$t3. Becoming Hungry: Introducing the Salmon Domus --$t4. Becoming Biomass: Appetite, Numbers, and Managerial Control --$t5. Becoming Scalable: Speed, Feed, and Temporal Alignments --$t6. Becoming Sentient: Choreographies of Caring and Killing --$t7. Becoming Alien: Back to the River --$t8. Tails --$tNotes --$tReferences --$tIndex 330 $aBecoming Salmon is the first ethnographic account of salmon aquaculture, the most recent turn in the human history of animal domestication. In this careful and nuanced study, Marianne Elisabeth Lien explores how the growth of marine domestication has blurred traditional distinctions between fish and animals, recasting farmed fish as sentient beings, capable of feeling pain and subject to animal-welfare legislation. Drawing on fieldwork on and off salmon farms, Lien follows farmed Atlantic salmon through contemporary industrial husbandry, exposing how salmon are bred to be hungry, globally mobile, and "alien" in their watersheds of origin. Attentive to both the economic context of industrial food production and the materiality of human-animal relations, this book highlights the fragile and contingent relational practices that constitute salmon aquaculture and the multiple ways of "becoming salmon" that emerge as a result. 410 0$aCalifornia studies in food and culture ;$v55. 606 $aSalmon farming 606 $aSalmon farming$xSocial aspects 610 $aanimal ethics. 610 $aanimal husbandry. 610 $aanimal rights. 610 $aanimal studies. 610 $aaquaculture. 610 $aatlantic salmon. 610 $abiologists. 610 $afarmed salmon. 610 $afish farming. 610 $afish life. 610 $afisheries. 610 $afood scientists. 610 $aglobal salmon trade. 610 $ahuman animal relations. 610 $aindustrial food production. 610 $aindustrial husbandry. 610 $ainternational food production. 610 $amarine biologists. 610 $amarine biology. 610 $amarine domestication. 610 $amarine life. 610 $asalmon aquaculture. 610 $asalmon farming. 610 $asalmon farms. 610 $asalmon fisheries. 610 $asalmon trade. 610 $asalmon. 610 $aseafood. 615 0$aSalmon farming. 615 0$aSalmon farming$xSocial aspects. 676 $a639.3/755 700 $aLien$b Marianne E.$01643180 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910824515303321 996 $aBecoming salmon$93988269 997 $aUNINA LEADER 01277nam2 22003013i 450 001 VAN00083856 005 20240806100630.246 010 $a88-88778-92-6 100 $a20110518d2004 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆ1 :‰Esercizi di idraulica$fBruno Brunone, Marco Ferrante, Alessandro Berni 205 $a3. ed 210 $aPerugia$cMorlacchi$d2004 215 $a179 p.$cill.$d24 cm 461 1$1001VAN00083853$12001 $aEsercizi di idraulica$fBruno Brunone, Marco Ferrante, Alessandro Berni$1210 $aPerugia$cMorlacchi$1215 $avolumi$cill.$d24 cm$v1 620 $dPerugia$3VANL000077 700 1$aBrunone$bBruno$3VANV055193$073789 701 1$aBerni$bAlessandro$3VANV069161$0447681 701 1$aFerrante$bMarco$3VANV055194$0447680 712 $aMorlacchi$3VANV112632$4650 801 $aIT$bSOL$c20240906$gRICA 912 $aVAN00083856 950 $aBIBLIOTECA DEL DIPARTIMENTO DI INGEGNERIA$d05PREST N 127 $e05 5741 20110518 950 $aBIBLIOTECA DEL DIPARTIMENTO DI INGEGNERIA$d05PREST N 128 $e05UBI84 20150129 996 $aEsercizi di idraulica$9104512 997 $aUNICAMPANIA LEADER 05050nam 22007095 450 001 9910148854303321 005 20250625083632.0 024 7 $a10.1007/978-3-319-44742-1 035 $a(CKB)3710000000918157 035 $a(DE-He213)978-3-319-44742-1 035 $a(MiAaPQ)EBC4723678 035 $a(PPN)196326095 035 $a(EXLCZ)993710000000918157 100 $a20161024d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrognostics and Health Management of Engineering Systems $eAn Introduction /$fby Nam-Ho Kim, Dawn An, Joo-Ho Choi 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 347 p. 166 illus., 155 illus. in color.) 311 08$a3-319-44740-8 311 08$a3-319-44742-4 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Tutorials for Prognostics -- Bayesian Statistics for Prognostics -- Physics-Based Prognostics -- Data-Driven Prognostics -- Study on Attributes of Prognostic Methods -- Applications of Prognostics. 330 $aThis book introduces the methods for predicting the future behavior of a system?s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application. Among the many topics discussed in-depth are: ? Prognostics tutorials using least-squares ? Bayesian inference and parameter estimation ? Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter ? Data-driven prognostics algorithms including Gaussian process regression and neural network ? Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields. 606 $aRenewable energy resources 606 $aAerospace engineering 606 $aAstronautics 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aBuilding materials 606 $aCivil engineering 606 $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000 606 $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aStructural Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z11000 606 $aCivil Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T23004 615 0$aRenewable energy resources. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aBuilding materials. 615 0$aCivil engineering. 615 14$aRenewable and Green Energy. 615 24$aAerospace Technology and Astronautics. 615 24$aSignal, Image and Speech Processing. 615 24$aStructural Materials. 615 24$aCivil Engineering. 676 $a621.042 700 $aKim$b Nam H.$4aut$4http://id.loc.gov/vocabulary/relators/aut$0771504 702 $aAn$b Dawn$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChoi$b Joo-Ho$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910148854303321 996 $aPrognostics and Health Management of Engineering Systems$94398239 997 $aUNINA