LEADER 04254nam 22006971 450 001 9910453947503321 005 20200520144314.0 010 $a0-262-31484-3 035 $a(CKB)2550000001144889 035 $a(EBL)3339702 035 $a(SSID)ssj0001047437 035 $a(PQKBManifestationID)11595772 035 $a(PQKBTitleCode)TC0001047437 035 $a(PQKBWorkID)11159156 035 $a(PQKB)10911691 035 $a(MiAaPQ)EBC3339702 035 $a(OCoLC)862370269 035 $a(MdBmJHUP)muse29043 035 $a(OCoLC)864592470$z(OCoLC)862370269$z(OCoLC)933365421$z(OCoLC)961659427$z(OCoLC)962641443$z(OCoLC)990763518$z(OCoLC)1055340049$z(OCoLC)1066583792$z(OCoLC)1081248198 035 $a(OCoLC-P)864592470 035 $a(MaCbMITP)9543 035 $a(Au-PeEL)EBL3339702 035 $a(CaPaEBR)ebr10791809 035 $a(CaONFJC)MIL540363 035 $a(OCoLC)864592470 035 $a(EXLCZ)992550000001144889 100 $a20130226h20132013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEmil du Bois-Reymond $eneuroscience, self, and society in nineteenth-century Germany /$fGabriel Finkelstein 210 1$aCambridge, Massachusetts :$cMIT Press,$d[2013] 210 4$dİ2013 215 $a1 online resource (381 p.) 225 1 $aTransformations : studies in the history of science and technology 300 $aDescription based upon print version of record. 311 $a1-306-09112-8 311 $a0-262-01950-7 320 $aIncludes bibliographical references and index. 327 $aContents; Acknowledgments; Abbreviations; Introduction; I Beginnings; 1 Childhood; 2 Youth; 3 Apprenticeship; II Experiments; 4 Science; 5 Revolution; 6 Paris; III Life; 7 Love; 8 Marriage and Career; 9 Public and Private; IV Fame; 10 Politics and History; 11 Goethe and Darwin; 12 Limits; Notes; Index 330 $aA biography of an important but largely forgotten nineteenth-century scientist whose work helped lay the foundation of modern neuroscience.Emil du Bois-Reymond is the most important forgotten intellectual of the nineteenth century. In his own time (1818-1896) du Bois-Reymond grew famous in his native Germany and beyond for his groundbreaking research in neuroscience and his provocative addresses on politics and culture. This biography by Gabriel Finkelstein draws on personal papers, published writings, and contemporary responses to tell the story of a major scientific figure. Du Bois-Reymond's discovery of the electrical transmission of nerve signals, his innovations in laboratory instrumentation, and his reductionist methodology all helped lay the foundations of modern neuroscience.In addition to describing the pioneering experiments that earned du Bois-Reymond a seat in the Prussian Academy of Sciences and a professorship at the University of Berlin, Finkelstein recounts du Bois-Reymond's family origins, private life, public service, and lasting influence. Du Bois-Reymond's public lectures made him a celebrity. In talks that touched on science, philosophy, history, and literature, he introduced Darwin to German students (triggering two days of debate in the Prussian parliament); asked, on the eve of the Franco-Prussian War, whether France had forfeited its right to exist; and proclaimed the mystery of consciousness, heralding the age of doubt. The first modern biography of du Bois-Reymond in any language, this book recovers an important chapter in the history of science, the history of ideas, and the history of Germany. 410 0$aTransformations (M.I.T. Press) 606 $aNeurosciences$xPhilosophy$xHistory$y19th century 606 $aPhysiologists$zGermany$vBiography 606 $aPhysiology, Experimental$xHistory$y19th century 608 $aElectronic books. 615 0$aNeurosciences$xPhilosophy$xHistory 615 0$aPhysiologists 615 0$aPhysiology, Experimental$xHistory 676 $a612.8092 676 $aB 700 $aFinkelstein$b Gabriel Ward$01026063 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910453947503321 996 $aEmil du Bois-Reymond$92440762 997 $aUNINA LEADER 03610nam 2200637Ia 450 001 9910437905403321 005 20200520144314.0 010 $a9781283911016 010 $a1283911019 010 $a9781447145882 010 $a1447145887 024 7 $a10.1007/978-1-4471-4588-2 035 $a(CKB)2670000000278370 035 $a(EBL)1081741 035 $a(OCoLC)820026017 035 $a(SSID)ssj0000798918 035 $a(PQKBManifestationID)11440641 035 $a(PQKBTitleCode)TC0000798918 035 $a(PQKBWorkID)10755543 035 $a(PQKB)10875592 035 $a(DE-He213)978-1-4471-4588-2 035 $a(MiAaPQ)EBC1081741 035 $a(PPN)168293846 035 $a(EXLCZ)992670000000278370 100 $a20121203d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Monte Carlo simulation method for system reliability and risk analysis /$fby Enrico Zio 205 $a1st ed. 2013. 210 $aLondon $cSpringer$d2012 215 $a1 online resource (203 p.) 225 0$aSpringer series in reliability engineering 300 $aDescription based upon print version of record. 311 08$a9781447159018 311 08$a1447159012 311 08$a9781447145875 311 08$a1447145879 327 $a1.Introduction -- 2.System Reliability and Risk Analysis -- 3.Monte Carlo Simulation- the Method -- 4.System Reliability and Risk Analysis by Monte Carlo Simulation -- 5.Practical Applications of Monte Carlo Simulation for System Reliability Analysis -- 6.Advanced Mont Carlo Simulation Techniques for System Failure Probability Estimation -- 7.Practical Applications of Advanced Monte Carlo Simulation Techniques for System Techniques for System Failure Probability Estimation. 330 $aMonte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling.   Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation of the theoretical foundations to facilitate comprehension of the subject matter. Case studies will be introduced to provide the practical value of the most advanced techniques.   This detailed approach makes The Monte Carlo Simulation Method for System Reliability and Risk Analysis a key reference for senior undergraduate and graduate students as well as researchers and practitioners. It provides a powerful tool for all those involved in system analysis for reliability, maintenance and risk evaluations. 410 0$aSpringer Series in Reliability Engineering,$x1614-7839 606 $aMonte Carlo method 606 $aReliability (Engineering)$xSimulation methods 615 0$aMonte Carlo method. 615 0$aReliability (Engineering)$xSimulation methods. 676 $a620.00452015118 700 $aZio$b Enrico$0954821 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437905403321 996 $aThe Monte Carlo Simulation Method for System Reliability and Risk Analysis$92502779 997 $aUNINA