LEADER 04259nam 2200625 a 450 001 9910969784603321 005 20251117084957.0 035 $a(CKB)2670000000245829 035 $a(EBL)3110363 035 $a(SSID)ssj0000720881 035 $a(PQKBManifestationID)11421696 035 $a(PQKBTitleCode)TC0000720881 035 $a(PQKBWorkID)10687007 035 $a(PQKB)10559389 035 $a(MiAaPQ)EBC3110363 035 $a(Au-PeEL)EBL3110363 035 $a(CaPaEBR)ebr10594388 035 $a(OCoLC)922977944 035 $a(BIP)35127854 035 $a(EXLCZ)992670000000245829 100 $a20120109d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIbsen's foreign contagion $eHenrik Ibsen, Arthur Wing Pinero, and modernism on the London stage, 1890-1900 /$fT. Carlo Matos 210 $aBethesda $cAcademia Press$d2012 215 $a1 online resource (235 p.) 300 $aDescription based upon print version of record. 311 08$a1-936320-32-0 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- The Ibscene: drama and epidemiological discourse -- The Ibsen strain: Ghosts -- No longer an enemy of the people? -- The native cure: the Pinerotic -- A healthy art: the case of Henry Arthur Jones -- Epilogue: immunity. 330 $aForeword by Professor Joseph Donohue"..Matos's important book provides a well-researched, well-written, and fascinating discussion of the notion of contagion from Ibsen and into Pinero and Jones." Professor Gregory Tague, St Francis College, editor of Origins of English Literary Modernism,1870-1914The Independent Theatre's production of Ghosts at the Royalty Theatre, London in 1891 precipitated one of the most famous theatrical quarrels in European theater history. Although many have commented on the extremity of the response from the conservative reviewers, few have remarked on the fact that the majority of these reviews were laden with disease metaphors. Ibsen, in the age of the classic epidemic, comes to be perceived by his English hosts as a contagious entity. The importance of Ghosts, then, lies in its ability, to "introduce into the cultural matrix a germ, a foreign body, that cannot be accounted for by its existing codes and practices" (Derek Attridge, The Singularity of Literature, 55-6). In this scholarly monograph, Dr.Matos treats the theatrical reviews as serious cultural artifacts in order to avoid reducing them to mere entertaining invective in order, ultimately, to trace the transmission of modern dramatic innovation from Ibsen to Arthur Wing Pinero and George Bernard Shaw.Arthur Wing Pinero wrote a series of plays in the 1890s distinctive both for their seriousness and their seeming similarity to Ibsen. The Second Mrs. Tanqueray and The Notorious Mrs. Ebbsmith establish Pinero as both a popular and a serious writer, something Ibsen could never quite accomplish. Although it is unfair to lay the "improvements" in Pinero's method solely at the feet of Ibsen, it is fair the author believes to demonstrate that without Ibsen's boundary-breaking work, Pinero could never have produced these important plays, which helped bring the London stage into the modern period and ushered in a new era of dramatic modernism that included Shaw and Wilde. 606 $aEnglish drama$y19th century$xHistory and criticism 606 $aDiseases in literature 606 $aCommunicable diseases in literature 606 $aDiseases and literature$zEngland$xHistory$y19th century 606 $aTheater$zEngland$zLondon$xHistory$y19th century 606 $aDramatic criticism$zEngland$zLondon$xHistory$y19th century 615 0$aEnglish drama$xHistory and criticism. 615 0$aDiseases in literature. 615 0$aCommunicable diseases in literature. 615 0$aDiseases and literature$xHistory 615 0$aTheater$xHistory 615 0$aDramatic criticism$xHistory 676 $a839.8/226 700 $aMatos$b T. Carlo$01866669 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910969784603321 996 $aIbsen's foreign contagion$94474087 997 $aUNINA LEADER 05580nam 22006255 450 001 9910483756203321 005 20251230060830.0 010 $a3-030-37157-3 024 7 $a10.1007/978-3-030-37157-9 035 $a(CKB)4100000010473962 035 $a(DE-He213)978-3-030-37157-9 035 $a(MiAaPQ)EBC6120131 035 $a(PPN)242980171 035 $a(MiAaPQ)EBC6122067 035 $a(MiAaPQ)EBC6220532 035 $a(EXLCZ)994100000010473962 100 $a20200222d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNetwork Algorithms, Data Mining, and Applications $eNET, Moscow, Russia, May 2018 /$fedited by Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIII, 244 p. 65 illus., 43 illus. in color.) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v315 311 08$a3-030-37156-5 327 $a Part I: Network algorithms -- Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications -- Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming -- Miasnikof, P., Pitsoulis, L., Bonner, A. J., Lawryshyn, Y. and Pardalos, P. M: Graph Clustering Via Intra-Cluster Density Maximization -- Shvydun, S.: Computational Complexity of SRIC and LRIC indices -- Sifaleras, A. and Konstantaras, I: A survey on variable neighborhood search methods for supply network inventory -- Part II: Network Data Mining -- Ananyeva, M. and Makarov, I: GSM: Inductive Learning on Dynamic Graph Embeddings -- Averchenkova, A., Akhmetzyanova, A., Sudarikov, K., Sulimov, P., Makarov I. and Zhukov, L. E: Collaborator Recommender System based on Co-authorship Network Analysis -- Demochkin, K. and Savchenko, A: User Preference Prediction in a Set of Photos based on Neural Aggregation Network -- Makrushin , S.: Network structure and scheme analysis of the Russian language segment of Wikipedia -- Meshcheryakova, N., Shvydun, S. and Aleskerov, F: Indirect Influence Assessment in the Context of Retail Food Network -- Sokolova, A. D. and Savchenko, A. V: Facial clustering in video data using deep convolutional neural networks -- Part III: Network Applications -- Egamov, A.: The existence and uniqueness theorem for initial-boundary value problem of the same class of integro-differential PDEs -- Gradoselskaya, G., Karpov, I. and Shcheglova, T: Mapping of politically active groups on social networks of Russian regions (on the example of Karachay-Cherkessia Republic) -- Mikhailova, O., Gradoselskaya, G. and Kharlamov, A: Social Mechanisms of the Subject Area Formation. The Case of ?Digital Economy -- Shcheglova, T., Gradoselskaya, G. and Karpov, I: Methodology for measuring polarization of political discourse: case of comparing oppositional and patriotic discourse in online social networks -- Zaytsev, D., Khvatsky, G., Talovsky, N. and Kuskova, V: Network Analysis Methodology of Policy Actors Identification and Power Evaluation (the case of the Unified State Exam introduction in Russia). 330 $aThis proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, andbiclustering algorithms are presented with applications to social network analysis. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v315 606 $aMathematical optimization 606 $aNeural networks (Computer science) 606 $aDiscrete mathematics 606 $aOptimization 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aDiscrete Mathematics 615 0$aMathematical optimization. 615 0$aNeural networks (Computer science). 615 0$aDiscrete mathematics. 615 14$aOptimization. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aDiscrete Mathematics. 676 $a658.4032 702 $aBychkov$b Ilya$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKalyagin$b Valery A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPardalos$b Panos M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aProkopyev$b Oleg$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483756203321 996 $aNetwork Algorithms, Data Mining, and Applications$91921346 997 $aUNINA