03875nam 22006495 450 991048406530332120230810164440.09783030155087303015508010.1007/978-3-030-15508-7(OCoLC)1201541246(MiFhGG)GVRL733Q(CKB)4100000008048053(MiAaPQ)EBC5770969(MiFhGG)9783030155087(DE-He213)978-3-030-15508-7(Perlego)3494283(EXLCZ)99410000000804805320190430d2019 u| 0engurun|---uuuuatxtrdacontentcrdamediacrrdacarrierFlirting in the Era of #MeToo Negotiating Intimacy /by Alison Bartlett, Kyra Clarke, Rob Cover1st ed. 2019.Cham :Springer International Publishing :Imprint: Palgrave Pivot,2019.1 online resource (vii, 116 pages)Gale eBooks9783030155070 3030155072 Includes bibliographical references and index.1. Introduction: Flirting, Scandal, Intimacy -- 2. #MeToo: Scandals and the Concept of Flirting -- 3. Playing with Scripts: Social Experiments and Reality Television -- 4. Flirting on Film: Boundaries and Consent, Visibility and Performance -- 5. Conclusion: Uncertain Times for Flirting."Flirting in the Era of #MeToo: Negotiating Intimacy is a gem of a book. It draws on a staggering range of disciplines: from etymology to psychoanalysis, from queer theory to film theory, and from cultural studies to sociology, and beyond. It's the first academic publication to theorise #MeToo with such acuity, and I'm genuinely excited by how rich and important a critical intervention it makes." -Emma Rees, Professor of Literature and Gender Studies, University of Chester, UK This book provides a contemporary review of the social practices and representations of flirting. In the wake of #MeToo, flirting has become entangled with stories of harassment and abuse that have generated both outrage and confusion. Nevertheless, this book argues that negotiating intimacy has always been an ambiguous social practice that can be risky and fraught, and examines how the presiding perception of flirting is constructed in contemporary cultural media. The book interrogates the relation between flirting and scandal, the kinds of scripts available in popular culture, and relations to feminism and other current social theories around gender and sexuality. It asks the questions; how can desire be declared? How can playfulness be understood? And what kind of language is available to speak about these complexities? Drawing from a range of media forms such as public scandal, reality television, and teen film, Flirting in the Era of #MeToo argues that contemporary flirting is both provocative and conservative in its negotiation of an assemblage of shifting values, and considers possibilities for social innovation and change in light of these competing tensions. .SexCultureStudy and teachingEthnologyGender StudiesCultural StudiesSociocultural AnthropologySex.CultureStudy and teaching.Ethnology.Gender Studies.Cultural Studies.Sociocultural Anthropology.302.340966306.73Bartlett Alisonauthttp://id.loc.gov/vocabulary/relators/aut1220812Clarke KyraCover RobMiFhGGMiFhGGBOOK9910484065303321Flirting in the era of #MeToo2828125UNINA04138nam 2201045z- 450 991057688160332120220621(CKB)5720000000008359(oapen)https://directory.doabooks.org/handle/20.500.12854/84504(oapen)doab84504(EXLCZ)99572000000000835920202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRecent Advances in Embedded Computing, Intelligence and ApplicationsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (188 p.)3-0365-4246-9 3-0365-4245-0 The latest proliferation of Internet of Things deployments and edge computing combined with artificial intelligence has led to new exciting application scenarios, where embedded digital devices are essential enablers. Moreover, new powerful and efficient devices are appearing to cope with workloads formerly reserved for the cloud, such as deep learning. These devices allow processing close to where data are generated, avoiding bottlenecks due to communication limitations. The efficient integration of hardware, software and artificial intelligence capabilities deployed in real sensing contexts empowers the edge intelligence paradigm, which will ultimately contribute to the fostering of the offloading processing functionalities to the edge. In this Special Issue, researchers have contributed nine peer-reviewed papers covering a wide range of topics in the area of edge intelligence. Among them are hardware-accelerated implementations of deep neural networks, IoT platforms for extreme edge computing, neuro-evolvable and neuromorphic machine learning, and embedded recommender systems.Information technology industriesbicssc2D graphics acceleratoralpha-blendinganti-aliasingartificial intelligenceblock-based neural networkBresenham's algorithmcloud computingcode refactoringcollaborative filteringContiki-NGdeep learningdynamic and partial reconfigurationedge computingembedded edge computingembedded systemembedded systemsevolutionary algorithmextreme edgefield-programmable gate arrayflexiblefog computingFPGAGaussian processhardware accelerationhardware designharsh environmenthigh-level synthesisHLSinternet of things deploymentIoT gatewayIoT securityline-drawingLoRalow latencylow power consumptionMovidius VPUneural networkneuroevolutionneuromorphic processorparallelismperformance estimationpower consumptionquantisationrecommender systemsreconfigurable hardwarereinforcement learningscalabilitySDSoCsmart portsupport vector machinesSVMtrustabilityWiFiZedBoardZynqInformation technology industriesPortilla Jorgeedt1300063Otero AndresedtMujica GabrieledtPortilla JorgeothOtero AndresothMujica GabrielothBOOK9910576881603321Recent Advances in Embedded Computing, Intelligence and Applications3025391UNINA