LEADER 01035nam a2200253 i 4500 001 991003169439707536 008 940715m1993 it ak b 001 0 ita 020 $a8820482959 035 $ab13034339-39ule_inst 040 $aDip.to Studi Storici$bita 082 0 $a336.2409457 100 1 $aBulgarelli Lukacs, Alessandra$0140776 245 10$aImposta diretta nel Regno di Napoli in età moderna /$cAlessandra Bulgarelli Lukacs 260 $aMilano:$bFranco Angeli,$cc1993 300 $a320 p. :$b ill., tab ;$c21 cm. 440 0$aStudi e ricerche storiche 650 0$aFinanza pubblica$zRegno di Napoli$xStoria 651 4$aRegno di Napoli <1266-1815>$xPolitica fiscale$ySec.16.-18.. 907 $a.b13034339$b02-04-14$c15-07-04 912 $a991003169439707536 945 $aLE023 336.24 BUL 1 1$g1$i2023000067659$lle023$o-$pE24.79$q-$rl$s- $t0$u10$v5$w10$x0$y.i13837412$z10-09-04 996 $aImposta diretta nel Regno di Napoli in età moderna$9287815 997 $aUNISALENTO 998 $ale023$b15-07-04$cm$da $e-$fita$git $h0$i0 LEADER 02792nam 2200565 a 450 001 9910781443103321 005 20230802004236.0 010 $a1-283-34042-9 010 $a9786613340429 010 $a1-4625-0472-8 010 $a1-4625-0276-8 035 $a(CKB)2550000000065437 035 $a(EBL)800604 035 $a(OCoLC)763157670 035 $a(SSID)ssj0000535407 035 $a(PQKBManifestationID)12179715 035 $a(PQKBTitleCode)TC0000535407 035 $a(PQKBWorkID)10521992 035 $a(PQKB)11001750 035 $a(MiAaPQ)EBC800604 035 $a(EXLCZ)992550000000065437 100 $a20110908d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aContingency management for adolescent substance abuse$b[electronic resource] $ea practitioner's guide /$fby Scott W. Henggeler ... [et al.] 210 $aNew York, N.Y. $cGuilford Press$dc2012 215 $a1 online resource (227 p.) 300 $aDescription based upon print version of record. 311 $a1-4625-0247-4 320 $aIncludes bibliographical references and index. 327 $aIntroduction to contingency management -- Determining the need for substance use treatment -- Introducing contingency management and engaging families in treatment -- ABC assessment of drug use -- Self-management planning and drug refusal skills training -- The point-and-level reward system -- Drug testing protocol -- Synthesizing the components of contingency management -- Conducting contingency management without caregivers. 330 $a This practical manual is based on extensive research and the collaboration of hundreds of community-based therapists. It provides step-by-step guidelines for implementing contingency management (CM)-one of the most effective treatments for substance abuse-with adolescents and their caregivers. Strategies are detailed for assessing substance use disorders, developing individualized cognitive and behavioral interventions, using behavioral contracts and contingencies to reinforce abstinence, and overcoming frequently encountered treatment roadblocks. Extensive sample dialogues illustrate 606 $aTeenagers$xSubstance use 606 $aSubstance abuse$xTreatment$vHandbooks, manuals, etc 606 $aCognitive therapy$vHandbooks, manuals, etc 615 0$aTeenagers$xSubstance use. 615 0$aSubstance abuse$xTreatment 615 0$aCognitive therapy 676 $a616.8600835 701 $aHenggeler$b Scott W.$f1950-$01526864 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781443103321 996 $aContingency management for adolescent substance abuse$93769245 997 $aUNINA LEADER 06319nam 22005775 450 001 9910881094103321 005 20251229074523.0 010 $a9783031650185$b(electronic bk.) 010 $z9783031650178 024 7 $a10.1007/978-3-031-65018-5 035 $a(MiAaPQ)EBC31606743 035 $a(Au-PeEL)EBL31606743 035 $a(CKB)34075672100041 035 $a(DE-He213)978-3-031-65018-5 035 $a(OCoLC)1455128344 035 $a(EXLCZ)9934075672100041 100 $a20240818d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications $eVolume 2 /$fedited by Yousef Farhaoui 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (0 pages) 225 1 $aInformation Systems Engineering and Management,$x3004-9598 ;$v6 311 08$aPrint version: Farhaoui, Yousef Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: from Concepts to Applications Cham : Springer,c2024 9783031650178 327 $aChapter 1. Iterative method of Newton-Raphson for systems with two equations -- Chapter 2. Harnessing Reinforcement Learning for Enhanced Solar Radiation Prediction: State-of-the-Art and Future Directions -- Chapter 3. LoRaWAN-based Smart Irrigation Systems: A literature review -- Chapter 4. A Temporal Metadata Management Approach for Data Lakes -- Chapter 5. Artificial Intelligence in Social Media: From Content Personalization to User Engagement -- Chapter 6. Designing a Comprehensive Data Security Protection System for Multi-Dimensional Threats in Cloud Computing -- Chapter 7. Optimized CNN-BiGRU Intrusion Detection Model with SMOTE Enhancement: Using Optuna for Automated Hyperparameter Tuning -- Chapter 8. Digitally-Enabled Labor Market: The Dark Side of Digital Transformation -- Chapter 9. A Comparative Study on the Adoption of Customer Relationship Management (CRM) Technologies by Family and Non-Family Small and Medium Enterprises (SMEs) -- Chapter 10. Learning design of lesson plans with LAMS and CADMOS -- Chapter 11. Systematic literature reviews in political marketing: behavior, influence, and trust in the era of big data and artificial intelligence -- Chapter 12. The role of artificial intelligence and collective intelligence in the evolution of the HR function -- Chapter 13. The Role of Business Intelligence Systems in an Organization Case of SONACOS, Morocco -- Chapter 14. Marketing strategies developed by informal production units -- Chapter 15. Medical Image Compression Using Discrete Wavelet Transform -- Chapter 16. Perspectives on the integration of artificial intelligence in the independent hotel sector of the Rabat-Sale-Kenitra region: An empirical study -- Chapter 17. Modeling Moroccan consumer behavior: An empirical approach -- Chapter 18. Exploring Consumer Behavior in Emerging Markets Towards Organic Products Through Local Identity, Patriotism, and Trust in Origin: Moroccan Case -- Chapter 19. The Influence of Behavioral Biases on Portfolio Management Decisions: Deviations from the Efficient Frontier of Modern Portfolio Theory -- Chapter 20. Optimizing Hyperparameters for Fraud Detection: A Comparative Analysis of Machine Learning Algorithms -- Etc. 330 $aThis book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence. 410 0$aInformation Systems Engineering and Management,$x3004-9598 ;$v6 606 $aEngineering$xData processing 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aData Engineering 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aEngineering$xData processing. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aData Engineering. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a620.00285 700 $aFarhaoui$b Yousef$01592008 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910881094103321 996 $aArtificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications$94235479 997 $aUNINA