LEADER 01269cam0-22004451i-450- 001 990000779320403321 005 20160204101949.0 010 $a88-207-1689-5 035 $a000077932 035 $aFED01000077932 035 $a(Aleph)000077932FED01 035 $a000077932 100 $a20020821d1990----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>linguaggio Pascal$fCarlo Savy 205 $a2. ed. 210 $aNapoli$cLiguori$d1990 215 $av. (343 p.)$d24 cm 327 0 $a1.: La sintassi standard, la progettazione dei programmi, l'impiego del turbo Pascal 610 0 $aElaboratori elettronici$aProgrammazione$aLinguaggio Pascal 610 0 $aAutomazione$aLinguaggio Pascal 610 0 $aLinguaggio Pascal 676 $a005.133 076 676 $a004 700 1$aSavy,$bCarlo$0651 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000779320403321 952 $aTECN B 1014(1)$b6196/877$fFARBC 952 $a13 P 03 06$b6107$fFINBC 952 $a23 03 D 25$b56/Pr.$fFINAG 952 $a10 P.T. 645$b2707 DIS$fDINEL 959 $aFARBC 959 $aFINBC 959 $aFINAG 959 $aDINEL 996 $aLinguaggio Pascal$9348998 997 $aUNINA LEADER 02459nam 22004453 450 001 9910163240803321 005 20250814080323.0 010 $a1-63339-253-8 035 $a(CKB)3710000001045994 035 $a(VLeBooks)9781633392533 035 $a(MiAaPQ)EBC32251662 035 $a(Au-PeEL)EBL32251662 035 $a(Exl-AI)993710000001045994 035 $a(OCoLC)1532842545 035 $a(EXLCZ)993710000001045994 100 $a20250814d2014 uy 0 101 0 $aita 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSangue Di Fuoco 205 $a1st ed. 210 1$aBielefeld :$cIn Dreams Extreme Press,$d2014. 210 4$dİ2014. 215 $a1 online resource (75 p.) 330 $aIl fratello di Elena, Ion, torna a casa oggi. Ma il Boyar ha gia tagliato la gola di Ion e lo ha seppellito in terra non consacrata.La loro madre sa che Ion tornera stasera per la sorella. Riuscira a convincere il prete a concedere al ragazzo l'assoluzione? O il Boyar sara in grado di proteggere Elena dal fratello che ha peccato con lei anche quando era ancora vivo? Elena vuole davvero essere difesa?Nel Medioevo...I vampiri somigliavano piu a zombie che a divi del cinema.I vampiri non si chiudevano in soliloqui sul significato della loro esistenza.I vampiri non avevano anima.I vampiri non si comportavano come ragazzi borghesi con le zanne.I vampiri non avevano appuntamenti e tanto meno si fidanzavano.I vampiri non riuscivano a controllare la sete di sangue ne volevano farlo.I vampiri vivevano nei cimiteri.I vampiri erano brutti, non bellissimi.I vampiri odoravano di marcio. Non scintillavano.Se puoi sopportare un vampiro che e qualcosa in piu di un semplice ragazzaccio non morto...Se puoi sopportare un vampiro che dalla morte non vuole altro che il sangue dei vivi...Se puoi sopportare la sete di sangue mista all'illecita attrazione di una ragazza per l'unico uomo che le abbia mai mostrato gentilezza... 606 $aVampires in literature$7Generated by AI 606 $aConfession in literature$7Generated by AI 615 0$aVampires in literature 615 0$aConfession in literature 700 $aStooker$b Richard$01432331 701 $aSaracino$b Mauro$01746409 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910163240803321 996 $aSangue di Fuoco$94179838 997 $aUNINA LEADER 05154nam 22006135 450 001 9910595046803321 005 20251009101654.0 010 $a9783030870867 010 $a3030870863 024 7 $a10.1007/978-3-030-87086-7 035 $a(CKB)5840000000091796 035 $a(MiAaPQ)EBC7101935 035 $a(Au-PeEL)EBL7101935 035 $a(DE-He213)978-3-030-87086-7 035 $a(EXLCZ)995840000000091796 100 $a20220922d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Algorithmic Distribution of News $ePolicy Responses /$fedited by James Meese, Sara Bannerman 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2022. 215 $a1 online resource (317 pages) 225 1 $aPalgrave Global Media Policy and Business,$x2634-6206 311 08$a9783030870850 311 08$a3030870855 327 $aChapter 1: Introduction: Governing the Algorithmic Distribution of the News -- Part 1: In the newsroom: algorithms, bots, business models, and privacy -- Chapter 2: Governing the Algorithmic Distribution of News in China: The Case of Jinri Toutiao -- Chapter 3: Algorithms, Platforms, and Policy: The Changing Face of Canadian News Distribution -- Chapter 4: Good Morning, Here?s Today?s News?: Delivering News via the Australian Broadcasting Corporation?s Facebook Messenger Chatbot -- Chapter 5: Algorithms and the News Media in Kenya: Emerging Issues in Data Policy and Accountability -- Chapter 6: Advertising, algorithms and audiences: The unchanging economics of online journalism -- Part 2: Current approaches: Copyright or Competition -- Chapter 7: Australian and EU Policy Responses to Algorithmic News Distribution: A Comparative Analysis -- Chapter 8: Private Property vs. Public Policy Vision in Ancillary Copyright Law Reform -- Chapter 9: Big Tech and News: A Critical Approach to DigitalPlatforms, Journalism, and Competition Law -- Part 3: Regulatory Challenges -- Chapter 10: New Zealand: Curbing Hate Speech, But Leaving Platforms to Self-Regulate -- Chapter 11: Diversity, Fake News, and Hate Speech: The German Response to Algorithmic Regulation -- Chapter 12: Switzerland, Algorithms, and the News: A Small Country Looking for Global Solutions -- Part 4: Future horizons: Algorithms and media policy -- Chapter 13:Towards Platform Democracy: Imagining an Open-Source Public Service Social Media Platform -- Chapter 14:Access Diversity Through Online Media and Public Service Algorithms: An Analysis of News Recommendation in Light of Article 10 ECHR -- Chapter 15: The Shortcomings of the Diversity Diet: Public Service Media; Algorithms, and the Multiple Dimensions of Diversity. 330 $aThis volume explores how governments, policymakers and newsrooms have responded to the algorithmic distribution of the news. Contributors analyse the ongoing battle between platforms and publishers, evaluate recent attempts to manage these tensions through policy reform and consider whether algorithms can be regulated to promote media diversity and stop misinformation and hate speech. Chapter authors also interview journalists and find out how their work is changing due to the growing importance of algorithmic systems. Drawing together an international group of scholars, the book takes a truly global perspective offering case studies from Switzerland, Germany, Kenya, New Zealand, Canada, Australia, and China. The collection also provides a series of critical analyses of recent policy developments in the European Union and Australia, which aim to provide a more secure revenue base for news media organisations. A valuable resource for journalism and policy scholars and students, Governing the Algorithmic Distribution of News is an important guide for anyone hoping to understand the central regulatory issues surrounding the online distribution of news. James Meese is Senior Lecturer at RMIT University, Australia, and Associate Investigator with the ARC Centre of Excellence for Automated Decision Making and Society. Sara Bannerman is Associate Professor at McMaster University, Canada, and Canada Research Chair in Communication Policy and Governance. 410 0$aPalgrave Global Media Policy and Business,$x2634-6206 606 $aJournalism 606 $aDigital media 606 $aMass media$xPolitical aspects 606 $aNews Journalism 606 $aDigital and New Media 606 $aMedia Policy and Politics 615 0$aJournalism. 615 0$aDigital media. 615 0$aMass media$xPolitical aspects. 615 14$aNews Journalism. 615 24$aDigital and New Media. 615 24$aMedia Policy and Politics. 676 $a070.43 676 $a070.430285 700 $aMeese$b James$c(Writer on law),$01320284 702 $aBannerman$b Sara$f1975- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910595046803321 996 $aThe algorithmic distribution of news$93034135 997 $aUNINA