LEADER 02578nam 2200601 450 001 9910136643903321 005 20221002151235.0 010 $a0-520-95970-1 024 8 $ahttps://doi.org/10.1525/luminos.12 035 $a(CKB)3710000000888738 035 $a(NjHacI)993710000000888738 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/28207 035 $a(OCoLC)945783758 035 $a(ScCtBLL)9bc3e4be-e9a4-4165-a86d-acd2c8a0240d 035 $a(EXLCZ)993710000000888738 100 $a20221002d2016 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMaking Things Stick $eSurveillance Technologies and Mexico's War on Crime /$fKeith Guzik 210 $aOakland, California$cUniversity of California Press$d2016 210 1$aOakland, California :$cUniversity of California Press,$d2016. 215 $a1 online resource (xiii, 254 pages) $cillustrations 300 $aIncludes index. 330 $aWith Mexico?s War on Crime as the backdrop, Making Things Stick offers an innovative analysis of how surveillance technologies impact governance in the global society. More than just tools to monitor ordinary people, surveillance technologies are imagined by government officials as a way to reform the national state by focusing on the material things?cellular phones, automobiles, human bodies?that can enable crime. In describing the challenges that the Mexican government has encountered in implementing this novel approach to social control, Keith Guzik presents surveillance technologies as a sign of state weakness rather than strength and as an opportunity for civic engagement rather than retreat. 517 $aMaking Things Stick 606 $aSecurity systems 606 $aCrime prevention 606 $aElectronic surveillance 606 $aSocial control 610 $agovernment policy 610 $asecurity systems 610 $aelectronic surveillance 610 $amexico 610 $asocial control 610 $acrime prevention 610 $aCar 610 $aIdentity document 610 $aRadio-frequency identification 615 0$aSecurity systems. 615 0$aCrime prevention. 615 0$aElectronic surveillance. 615 0$aSocial control. 676 $a363.2 700 $aGuzik$b Keith$0944509 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910136643903321 996 $aMaking things stick$92132123 997 $aUNINA LEADER 02190nam 2200589 450 001 9910808095603321 005 20170505134620.0 035 $a(CKB)3710000001034271 035 $a(DLC) 2016039942 035 $a(MiAaPQ)EBC4794562 035 $a(EXLCZ)993710000001034271 100 $a20160829h20172017 uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cn$2rdamedia 183 $anc$2rdacarrier 200 00$aTense-aspect-modality in a second language $econtemporary perspectives /$fedited by Martin Howard, Pascale Leclercq 210 1$aAmsterdam ;$aPhiladelphia :$cJohn Benjamins Publishing Company,$d[2017] 210 4$dİ2017 215 $a1 online resource 225 1 $aStudies in bilingualism,$x0928-1533 ;$v50 311 $a90-272-4192-9 311 $a90-272-6649-2 320 $aIncludes bibliographical references and index. 410 0$aStudies in bilingualism ;$v50. 606 $aLanguage and languages$xStudy and teaching$xResearch 606 $aSecond language acquisition$xResearch 606 $aInterlanguage (Language learning)$xResearch 606 $aGrammar, Comparative and general$xTense 606 $aGrammar, Comparative and general$xAspect 606 $aGrammar, Comparative and general$xModularity 606 $aEnglish language$xGrammar, Comparative 606 $aFrench language$xGrammar, Comparative 615 0$aLanguage and languages$xStudy and teaching$xResearch. 615 0$aSecond language acquisition$xResearch. 615 0$aInterlanguage (Language learning)$xResearch. 615 0$aGrammar, Comparative and general$xTense. 615 0$aGrammar, Comparative and general$xAspect. 615 0$aGrammar, Comparative and general$xModularity. 615 0$aEnglish language$xGrammar, Comparative. 615 0$aFrench language$xGrammar, Comparative. 676 $a415/.6 702 $aHoward$b Martin$f1972- 702 $aLeclercq$b Pascale$f1977- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808095603321 996 $aTense-aspect-modality in a second language$94118538 997 $aUNINA LEADER 04810nam 22005775 450 001 9910483676703321 005 20251116220948.0 010 $a3-030-15628-1 024 7 $a10.1007/978-3-030-15628-2 035 $a(CKB)4100000008618263 035 $a(MiAaPQ)EBC5811798 035 $a(DE-He213)978-3-030-15628-2 035 $a(PPN)243771584 035 $a(EXLCZ)994100000008618263 100 $a20190706d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Paradigms $eApplications of Learning and Analytics in Intelligent Systems /$fedited by George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (552 pages) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3447 ;$v1 311 08$a3-030-15627-3 327 $aChapter 1: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems -- Chapter 2: A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure -- Chapter 3: Differential gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research -- Chapter 4: Machine Learning Approaches for Pap-Smear Diagnosis: An Overview -- Chapter 5: Multi-Kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems -- Chapter 6: Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods -- Chapter 7: Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning -- Chapter 8: Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques -- Chapter 9: A Taxonomy and Review of the Network Data Envelopment Analysis Literature -- Chapter 10: Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams -- Chapter 11: Analytics and Evolving Landscape of Machine Learning for Emergency Response -- Chapter 12: Social Media Analytics, Types and Methodology -- Chapter 13: Machine Learning Methods for Opinion Mining in Text: The Past and the Future -- Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment -- Chapter 15: Video Analytics for Visual Surveillance and Applications: An Overview and Survey -- Chapter 16: Machine Learning in Alternate Testing of Integrated Circuits. 330 $aThis book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3447 ;$v1 606 $aComputational intelligence 606 $aEngineering?Data processing 606 $aMachine learning 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aData Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11040 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 615 0$aComputational intelligence. 615 0$aEngineering?Data processing. 615 0$aMachine learning. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aMachine Learning. 676 $a006.31 676 $a006.31 702 $aTsihrintzis$b George A.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVirvou$b Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSakkopoulos$b Evangelos$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJain$b L. C.$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483676703321 996 $aMachine Learning Paradigms$91995437 997 $aUNINA