LEADER 00774nam0-2200265 --450 001 9910629795603321 005 20221205164420.0 100 $a20221205d1950----kmuy0itay5050 ba 101 1 $aeng 102 $aAU 105 $a 001yy 200 1 $a<>province and function of law$elaw as logic justice and social control$ea study in jurisprudence$fJulius Stone 205 $a2. printing 210 $aSydney$cMaitland$d1950 215 $a918 p.$d25 cm 300 $aRistampa con correzioni 676 $a340.1$v23$zeng 700 1$aStone,$bJulius$0501057 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910629795603321 952 $aI I 2$b40574$fFGBC 959 $aFGBC 996 $aProvince and function of law$92966765 997 $aUNINA LEADER 05024nam 22005655 450 001 9910920443703321 005 20241226073158.0 010 $a9783031562389 010 $a3031562380 024 7 $a10.1007/978-3-031-56238-9 035 $a(MiAaPQ)EBC31862065 035 $a(Au-PeEL)EBL31862065 035 $a(CKB)37083974000041 035 $a(DE-He213)978-3-031-56238-9 035 $a(EXLCZ)9937083974000041 100 $a20241226d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aASPC Self-Assessment Program in Preventive Cardiology /$fedited by Nathan D. Wong, Ezra A. Amsterdam, Peter P. Toth 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Humana,$d2024. 215 $a1 online resource (269 pages) 225 1 $aContemporary Cardiology,$x2196-8977 311 08$a9783031562372 311 08$a3031562372 327 $aChapter 1 National and Global Trends of Cardiovascular Disease Mortality, Morbidity, and Risk -- Chapter 2 Cardiovascular Risk Assessment: From Global Risk Scoring to Risk Enhancing Factors -- Chapter 3 Assessment and Management of Psychosocial Risk Factors Within Preventive Cardiology Practice -- Chapter 4 Dietary Strategies for Atherosclerotic Cardiovascular Risk Reduction -- Chapter 5 Physical Activity Strategies -- Chapter 6 Obesity Management and Prevention of Cardiovascular Disease -- Chapter 7 Smoking and Vaping -- Chapter 8 Alcohol and Cardiovascular Diseases -- Chapter 9 The 2018 AHA/ACC/Multisociety Cholesterol Guidelines: A Personalized Approach to Risk Reduction -- Chapter 10 Blood Pressure and Hypertension Management -- Chapter 11 Cardiodiabetology Reducing Risks to Optimize -- Chapter 12 Cardiovascular Disease Outcomes -- Chapter 13 Antiplatelet Therapy -- Chapter 14 Inflammation and Atherosclerotic Cardiovascular Disease -- Chapter 15 The Role of Genetics in Preventive Cardiology: Utility of Clinically Available Genetic Tests -- Chapter 16 Exercise Electrocardiographic Stress Testing -- Chapter 17 Ultrasound and MRI Assessment of Cardiovascular Risk -- Chapter 18 Role of CT Coronary Calcium Scanning and Angiography in Evaluation of Cardiovascular Risk -- Chapter 19 Cardiovascular Disease Prevention in Women -- Chapter 20 Racial/Ethnic Considerations in the Prevention of Cardiovascular Disease -- Chapter 21 Prevention of Heart Failure -- Chapter 22 Prevention of Peripheral Arterial Disease -- Chapter 23 Prevention of Atrial Fibrillation -- Chapter 24 Prevention of Ischemic Stroke -- Chapter 25 Prevention of Cardiovascular Disease in Patients with Chronic Kidney Disease -- Chapter 26 Primary Prevention of Cardiovascular Disease Guidelines -- Chapter 27 Secondary Prevention and Cardiac Rehabilitation -- Chapter 28 Integrative Approaches for Cardiovascular Disease Prevention -- Chapter 29 Lipoprotein -- Chapter 30 Safety of Ultra-Low Low-density Lipoprotein Cholesterol -- Chapter 31 COVID-19 Infection and Cardiovascular Complications -- Chapter 32 Insulin Resistance -- Chapter 33 Epicardial Steatosis -- Chapter 34 Endothelial Cell Dysfunction. 330 $aThis book is a unique, comprehensive board review dedicated solely to preventive cardiology. This volume is a companion work to the ASPC Manual of Preventive Cardiology. The book is comprised of a series of questions, each which addresses a core issue in preventive cardiology. Each question is accompanied with a correct answer key as well as a discussion of why the chosen response is correct, and the others are incorrect. Answers are supported by illustrations and discussion of contemporary literature when applicable. The book also provides references for additional study. This book contains questions written by many of the original authors who contributed to the ASPC Manual of Preventive Cardiology. This book, along with the ASPC Manual of Preventive Cardiology, accompanies the ASPC Experts Course in Preventive Cardiology. The ASPC Self-Assessment Program in Preventive Cardiology is a valuable resource for cardiologists and other specialists, as well as primary care clinicians (including internists, family physicians, nurse practitioners, and physician assistants) who seek additional training and expertise in cardiovascular disease prevention. 410 0$aContemporary Cardiology,$x2196-8977 606 $aCardiology 606 $aInternal medicine 606 $aCardiology 606 $aInternal Medicine 615 0$aCardiology. 615 0$aInternal medicine. 615 14$aCardiology. 615 24$aInternal Medicine. 676 $a616.105 700 $aWong$b Nathan D$01781695 701 $aAmsterdam$b Ezra A$01781696 701 $aToth$b Peter P$01343554 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910920443703321 996 $aASPC Self-Assessment Program in Preventive Cardiology$94306533 997 $aUNINA LEADER 03823nam 22005535 450 001 9911021153403321 005 20250813130210.0 010 $a3-031-91235-7 024 7 $a10.1007/978-3-031-91235-1 035 $a(MiAaPQ)EBC32262230 035 $a(Au-PeEL)EBL32262230 035 $a(CKB)40332813800041 035 $a(DE-He213)978-3-031-91235-1 035 $a(EXLCZ)9940332813800041 100 $a20250813d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInternational Conference on Smart Systems and Emerging Technologies $eEdition 2024 /$fedited by Anis Koubaa, Adel Ben Mnaouer, Wadii Boulila, Said Raghay 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (674 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1401 311 08$a3-031-91234-9 327 $aEnhancing Arabic Text to Gloss Machine Translation through Data Augmentation -- Arabic Image Captioning Using Transformer Based Encoder-Decoder Model -- FineTuning a Large Language Model for Dialogue Summarization -- Possibilistic distance measure oft e heterogenous data Numeric and Nominal -- A SpatioTemporal OSM Knowledge Graph for Accident Prediction Based on GCNGRU model -- An Innovative Approach to Privacy Preservation in CPABE Through GANEnhanced Policies for Resource Constrained Environments. 330 $aThis book presents a groundbreaking compilation of cutting-edge research at the forefront of innovation, where artificial intelligence, machine learning, and advanced technologies converge to address real-world challenges with realistic solutions. This comprehensive book bridges theory and practice, offering transformative insights across diverse domains?from healthcare and cybersecurity to smart cities and language processing. Dive into pioneering advancements in Technology such as Arabic text-to-gloss machine translation, transformer-based image captioning, and GAN-enhanced privacy policies for constrained environments. Learn how deep learning revolutionizes cancer detection in medical imaging, optimizes traffic flow prediction, and refines speaker diarization in forensic audio. Immerse into ethical AI discussions, UAV navigation in GPS-denied terrains, and blockchain-secured voting systems, all while uncovering novel approaches to IoT security, cloud computing, and industrial efficiency. With contributions from leading researchers and practitioners, this book addresses critical topics like AI-driven sentiment analysis for business intelligence, self-supervised graph neural networks, and ethical implications of emerging technologies. Each chapter combines rigorous technical depth with actionable applications, making it an indispensable resource for researchers, engineers, and students eager to harness AI?s potential in tackling modern global challenges. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1401 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aKoubaa$b Anis$0967388 701 $aMnaouer$b Adel Ben$01844054 701 $aBoulila$b Wadii$01729775 701 $aRaghay$b Said$01844055 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911021153403321 996 $aInternational Conference on Smart Systems and Emerging Technologies$94426213 997 $aUNINA