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Advances in transition-metal mediated heterocyclic synthesis / / edited by Daniel Solé, Israel Fernández
| Advances in transition-metal mediated heterocyclic synthesis / / edited by Daniel Solé, Israel Fernández |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (368 pages) : illustrations |
| Disciplina | 547.59 |
| Soggetto topico |
Heterocyclic compounds
Transition metal catalysts Transition metals |
| ISBN |
0-12-811652-8
0-12-811651-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583018103321 |
| London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in the age of neural networks and brain computing / / edited by Robert Kozma [and three others]
| Artificial intelligence in the age of neural networks and brain computing / / edited by Robert Kozma [and three others] |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2019] |
| Descrizione fisica | 1 online resource (352 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Neural networks (Computer science) |
| ISBN |
0-12-816250-3
0-12-815480-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Artificial Intelligence in the Age of Neural Networks and Brain Computing -- Artificial Intelligence in the Age of Neural Networks and Brain Computing -- Copyright -- Contents -- List of Contributors -- Editors' Brief Biographies -- Introduction -- 1 - Nature's Learning Rule: The Hebbian-LMS Algorithm -- 1. INTRODUCTION -- 2. ADALINE AND THE LMS ALGORITHM, FROM THE 1950S -- 3. UNSUPERVISED LEARNING WITH ADALINE, FROM THE 1960S -- 4. ROBERT LUCKY'S ADAPTIVE EQUALIZATION, FROM THE 1960S -- 5. BOOTSTRAP LEARNING WITH A SIGMOIDAL NEURON -- 6. BOOTSTRAP LEARNING WITH A MORE "BIOLOGICALLY CORRECT" SIGMOIDAL NEURON -- 6.1 TRAINING A NETWORK OF HEBBIAN-LMS NEURONS -- 7. OTHER CLUSTERING ALGORITHMS -- 7.1 K-MEANS CLUSTERING -- 7.2 EXPECTATION-MAXIMIZATION ALGORITHM -- 7.3 DENSITY-BASED SPATIAL CLUSTERING OF APPLICATION WITH NOISE ALGORITHM -- 7.4 COMPARISON BETWEEN CLUSTERING ALGORITHMS -- 8. A GENERAL HEBBIAN-LMS ALGORITHM -- 9. THE SYNAPSE -- 10. POSTULATES OF SYNAPTIC PLASTICITY -- 11. THE POSTULATES AND THE HEBBIAN-LMS ALGORITHM -- 12. NATURE'S HEBBIAN-LMS ALGORITHM -- 13. CONCLUSION -- APPENDIX: TRAINABLE NEURAL NETWORK INCORPORATING HEBBIAN-LMS LEARNING -- ACKNOWLEDGMENTS -- REFERENCES -- 2 - A Half Century of Progress Toward a Unified Neural Theory of Mind and Brain With Applications to Autonomous Ada ... -- 1. TOWARDS A UNIFIED THEORY OF MIND AND BRAIN -- 2. A THEORETICAL METHOD FOR LINKING BRAIN TO MIND: THE METHOD OF MINIMAL ANATOMIES -- 3. REVOLUTIONARY BRAIN PARADIGMS: COMPLEMENTARY COMPUTING AND LAMINAR COMPUTING -- 4. THE WHAT AND WHERE CORTICAL STREAMS ARE COMPLEMENTARY -- 5. ADAPTIVE RESONANCE THEORY -- 6. VECTOR ASSOCIATIVE MAPS FOR SPATIAL REPRESENTATION AND ACTION -- 7. HOMOLOGOUS LAMINAR CORTICAL CIRCUITS FOR ALL BIOLOGICAL INTELLIGENCE: BEYOND BAYES.
8. WHY A UNIFIED THEORY IS POSSIBLE: EQUATIONS, MODULES, AND ARCHITECTURES -- 9. ALL CONSCIOUS STATES ARE RESONANT STATES -- 10. THE VARIETIES OF BRAIN RESONANCES AND THE CONSCIOUS EXPERIENCES THAT THEY SUPPORT -- 11. WHY DOES RESONANCE TRIGGER CONSCIOUSNESS? -- 12. TOWARDS AUTONOMOUS ADAPTIVE INTELLIGENT AGENTS AND CLINICAL THERAPIES IN SOCIETY -- REFERENCES -- 3 - Third Gen AI as Human Experience Based Expert Systems -- 1. INTRODUCTION -- 2. THIRD GEN AI -- 2.1 MAXWELL-BOLTZMANN HOMEOSTASIS [8] -- 2.2 THE INVERSE IS CONVOLUTION NEURAL NETWORKS -- 2.3 FUZZY MEMBERSHIP FUNCTION (FMF AND DATA BASIS) -- 3. MFE GRADIENT DESCENT -- 3.1 UNSUPERVISED LEARNING RULE -- 4. CONCLUSION -- ACKNOWLEDGMENT -- REFERENCES -- FURTHER READING -- 4 - The Brain-Mind-Computer Trichotomy: Hermeneutic Approach -- 1. DICHOTOMIES -- 1.1 THE BRAIN-MIND PROBLEM -- 1.2 THE BRAIN-COMPUTER ANALOGY/DISANALOGY -- 1.3 THE COMPUTATIONAL THEORY OF MIND -- 2. HERMENEUTICS -- 2.1 SECOND-ORDER CYBERNETICS -- 2.2 HERMENEUTICS OF THE BRAIN -- 2.3 THE BRAIN AS A HERMENEUTIC DEVICE -- 2.4 NEURAL HERMENEUTICS -- 3. SCHIZOPHRENIA: A BROKEN HERMENEUTIC CYCLE -- 3.1 HERMENEUTICS, COGNITIVE SCIENCE, SCHIZOPHRENIA -- 4. TOWARD THE ALGORITHMS OF NEURAL/MENTAL HERMENEUTICS -- 4.1 UNDERSTANDING SITUATIONS: NEEDS HERMENEUTIC INTERPRETATION -- ACKNOWLEDGMENTS -- REFERENCES -- FURTHER READING -- 5 - From Synapses to Ephapsis: Embodied Cognition and Wearable Personal Assistants -- 1. NEURAL NETWORKS AND NEURAL FIELDS -- 2. EPHAPSIS -- 3. EMBODIED COGNITION -- 4. WEARABLE PERSONAL ASSISTANTS -- REFERENCES -- 6 - Evolving and Spiking Connectionist Systems for Brain-Inspired Artificial Intelligence -- 1. FROM ARISTOTLE'S LOGIC TO ARTIFICIAL NEURAL NETWORKS AND HYBRID SYSTEMS -- 1.1 ARISTOTLE'S LOGIC AND RULE-BASED SYSTEMS FOR KNOWLEDGE REPRESENTATION AND REASONING. 1.2 FUZZY LOGIC AND FUZZY RULE-BASED SYSTEMS -- 1.3 CLASSICAL ARTIFICIAL NEURAL NETWORKS (ANN) -- 1.4 INTEGRATING ANN WITH RULE-BASED SYSTEMS: HYBRID CONNECTIONIST SYSTEMS -- 1.5 EVOLUTIONARY COMPUTATION (EC): LEARNING PARAMETER VALUES OF ANN THROUGH EVOLUTION OF INDIVIDUAL MODELS AS PART OF POPULATIO ... -- 2. EVOLVING CONNECTIONIST SYSTEMS (ECOS) -- 2.1 PRINCIPLES OF ECOS -- 2.2 ECOS REALIZATIONS AND AI APPLICATIONS -- 3. SPIKING NEURAL NETWORKS (SNN) AS BRAIN-INSPIRED ANN -- 3.1 MAIN PRINCIPLES, METHODS, AND EXAMPLES OF SNN AND EVOLVING SNN (ESNN) -- 3.2 APPLICATIONS AND IMPLEMENTATIONS OF SNN FOR AI -- 4. BRAIN-LIKE AI SYSTEMS BASED ON SNN. NEUCUBE. DEEP LEARNING ALGORITHMS -- 4.1 BRAIN-LIKE AI SYSTEMS. NEUCUBE -- 4.2 DEEP LEARNING AND DEEP KNOWLEDGE REPRESENTATION IN NEUCUBE SNN MODELS: METHODS AND AI APPLICATIONS [6] -- 4.2.1 Supervised Learning for Classification of Learned Patterns in a SNN Model -- 4.2.2 Semisupervised Learning -- 5. CONCLUSION -- ACKNOWLEDGMENT -- REFERENCES -- 7 - Pitfalls and Opportunities in the Development and Evaluation of Artificial Intelligence Systems -- 1. INTRODUCTION -- 2. AI DEVELOPMENT -- 2.1 OUR DATA ARE CRAP -- 2.2 OUR ALGORITHM IS CRAP -- 3. AI EVALUATION -- 3.1 USE OF DATA -- 3.2 PERFORMANCE MEASURES -- 3.3 DECISION THRESHOLDS -- 4. VARIABILITY AND BIAS IN OUR PERFORMANCE ESTIMATES -- 5. CONCLUSION -- ACKNOWLEDGMENT -- REFERENCES -- 8 - The New AI: Basic Concepts, and Urgent Risks and Opportunities in the Internet of Things -- 1. INTRODUCTION AND OVERVIEW -- 1.1 DEEP LEARNING AND NEURAL NETWORKS BEFORE 2009-11 -- 1.2 THE DEEP LEARNING CULTURAL REVOLUTION AND NEW OPPORTUNITIES -- 1.3 NEED AND OPPORTUNITY FOR A DEEP LEARNING REVOLUTION IN NEUROSCIENCE -- 1.4 RISKS OF HUMAN EXTINCTION, NEED FOR NEW PARADIGM FOR INTERNET OF THINGS -- 2. BRIEF HISTORY AND FOUNDATIONS OF THE DEEP LEARNING REVOLUTION. 2.1 OVERVIEW OF THE CURRENT LANDSCAPE -- 2.2 HOW THE DEEP REVOLUTION ACTUALLY HAPPENED -- 2.3 BACKPROPAGATION: THE FOUNDATION WHICH MADE THIS POSSIBLE -- 2.4 CONNS, 3 LAYERS, AND AUTOENCODERS: THE THREE MAIN TOOLS OF TODAY'S DEEP LEARNING -- 3. FROM RNNS TO MOUSE-LEVEL COMPUTATIONAL INTELLIGENCE: NEXT BIG THINGS AND BEYOND -- 3.1 TWO TYPES OF RECURRENT NEURAL NETWORK -- 3.2 DEEP VERSUS BROAD: A FEW PRACTICAL ISSUES -- 3.3 ROADMAP FOR MOUSE-LEVEL COMPUTATIONAL INTELLIGENCE (MLCI) -- 3.4 EMERGING NEW HARDWARE TO ENHANCE CAPABILITY BY ORDERS OF MAGNITUDE -- 4. NEED FOR NEW DIRECTIONS IN UNDERSTANDING BRAIN AND MIND -- 4.1 TOWARD A CULTURAL REVOLUTION IN HARD NEUROSCIENCE -- 4.2 FROM MOUSE BRAIN TO HUMAN MIND: PERSONAL VIEWS OF THE LARGER PICTURE -- 5. INFORMATION TECHNOLOGY (IT) FOR HUMAN SURVIVAL: AN URGENT UNMET CHALLENGE -- 5.1 EXAMPLES OF THE THREAT FROM ARTIFICIAL STUPIDITY -- 5.2 CYBER AND EMP THREATS TO THE POWER GRID -- 5.3 THREATS FROM UNDEREMPLOYMENT OF HUMANS -- 5.4 PRELIMINARY VISION OF THE OVERALL PROBLEM, AND OF THE WAY OUT -- REFERENCES -- 9 - Theory of the Brain and Mind: Visions and History -- 1. EARLY HISTORY -- 2. EMERGENCE OF SOME NEURAL NETWORK PRINCIPLES -- 3. NEURAL NETWORKS ENTER MAINSTREAM SCIENCE -- 4. IS COMPUTATIONAL NEUROSCIENCE SEPARATE FROM NEURAL NETWORK THEORY? -- 5. DISCUSSION -- REFERENCES -- 10 - Computers Versus Brains: Game Is Over or More to Come? -- 1. INTRODUCTION -- 2. AI APPROACHES -- 3. METASTABILITY IN COGNITION AND IN BRAIN DYNAMICS -- 4. MULTISTABILITY IN PHYSICS AND BIOLOGY -- 5. PRAGMATIC IMPLEMENTATION OF COMPLEMENTARITY FOR NEW AI -- ACKNOWLEDGMENTS -- REFERENCES -- 11 - Deep Learning Approaches to Electrophysiological Multivariate Time-Series Analysis∗∗ -- 1. INTRODUCTION -- 2. THE NEURAL NETWORK APPROACH -- 3. DEEP ARCHITECTURES AND LEARNING -- 3.1 DEEP BELIEF NETWORKS -- 3.2 STACKED AUTOENCODERS. 3.3 CONVOLUTIONAL NEURAL NETWORKS -- 4. ELECTROPHYSIOLOGICAL TIME-SERIES -- 4.1 MULTICHANNEL NEUROPHYSIOLOGICAL MEASUREMENTS OF THE ACTIVITY OF THE BRAIN -- 4.2 ELECTROENCEPHALOGRAPHY (EEG) -- 4.3 HIGH-DENSITY ELECTROENCEPHALOGRAPHY -- 4.4 MAGNETOENCEPHALOGRAPHY -- 5. DEEP LEARNING MODELS FOR EEG SIGNAL PROCESSING -- 5.1 STACKED AUTOENCODERS -- 5.2 SUMMARY OF THE PROPOSED METHOD FOR EEG CLASSIFICATION -- 5.3 DEEP CONVOLUTIONAL NEURAL NETWORKS -- 5.4 OTHER DL APPROACHES -- 6. FUTURE DIRECTIONS OF RESEARCH -- 6.1 DL INTERPRETABILITY -- 6.2 ADVANCED LEARNING APPROACHES IN DL -- 6.3 ROBUSTNESS OF DL NETWORKS -- 7. CONCLUSIONS -- REFERENCES -- FURTHER READING -- 12 - Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things -- 1. INTRODUCTION -- 2. SYSTEM ARCHITECTURE -- 3. ENERGY HARVESTING AND MANAGEMENT -- 3.1 ENERGY HARVESTING -- 3.2 ENERGY MANAGEMENT AND RESEARCH CHALLENGES -- 4. LEARNING IN NONSTATIONARY ENVIRONMENTS -- 4.1 PASSIVE ADAPTATION MODALITY -- 4.2 ACTIVE ADAPTATION MODALITY -- 4.3 RESEARCH CHALLENGES -- 5. MODEL-FREE FAULT DIAGNOSIS SYSTEMS -- 5.1 MODEL-FREE FAULT DIAGNOSIS SYSTEMS -- 5.2 RESEARCH CHALLENGES -- 6. CYBERSECURITY -- 6.1 HOW CAN CPS AND IOT BE PROTECTED FROM CYBERATTACKS? -- 6.2 CASE STUDY: DARKNET ANALYSIS TO CAPTURE MALICIOUS CYBERATTACK BEHAVIORS -- 7. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- 13 - Multiview Learning in Biomedical Applications -- 1. INTRODUCTION -- 2. MULTIVIEW LEARNING -- 2.1 INTEGRATION STAGE -- 2.2 TYPE OF DATA -- 2.3 TYPES OF ANALYSIS -- 3. MULTIVIEW LEARNING IN BIOINFORMATICS -- 3.1 PATIENT SUBTYPING -- 3.2 DRUG REPOSITIONING -- 4. MULTIVIEW LEARNING IN NEUROINFORMATICS -- 4.1 AUTOMATED DIAGNOSIS SUPPORT TOOLS FOR NEURODEGENERATIVE DISORDERS -- 4.2 MULTIMODAL BRAIN PARCELLATION -- 5. DEEP MULTIMODAL FEATURE LEARNING. 5.1 DEEP LEARNING APPLICATION TO PREDICT PATIENT'S SURVIVAL. |
| Record Nr. | UNINA-9910583305603321 |
| London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Canine parasites and parasitic diseases / / Seppo Saari, Anu Näreaho, Sven Nikander
| Canine parasites and parasitic diseases / / Seppo Saari, Anu Näreaho, Sven Nikander |
| Autore | Saari Seppo |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2019] |
| Descrizione fisica | 1 online resource (290 pages) |
| Disciplina | 636.7089696 |
| Soggetto topico |
Dogs - Parasites
Dogs - Diseases |
| ISBN | 0-12-814113-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Protozoa -- Trematoda (flukes) -- Cestoda (tapeworms) -- Nematoda (roundworms) -- Acantocephala (thorny-headed worms) -- Annelida (segmented worms, ringed worms) -- Insecta -- Arachnida -- Crustacea and pentastomids (tongueworms) -- Diagnostics -- Therapy and control -- Immunology -- Glossary. |
| Record Nr. | UNINA-9910583051003321 |
Saari Seppo
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| London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Developmental biology and musculoskeletal tissue engineering : principles and applications / / edited by Martin J. Stoddart [and three others]
| Developmental biology and musculoskeletal tissue engineering : principles and applications / / edited by Martin J. Stoddart [and three others] |
| Pubbl/distr/stampa | London : , : Academic Press, An imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (272 pages) : illustrations |
| Disciplina | 612.7 |
| Soggetto topico | Musculoskeletal system |
| ISBN |
0-12-811538-6
0-12-811467-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Developmental biology of musculoskeletal tissues for tissue engineers -- 2. The mechanics of skeletal development -- 3. Development, tissue engineering, and orthopedic diseases -- 4. Limb synovial joint development from the hips down: implications for articular cartilage repair and regeneration -- 5. Stem cell-based approaches for cartilage tissue engineering: what can we learn from developmental biology -- 6. Endochondral ossification: recapitulating bone development for bone defect repair -- 7. Challenges in cell-based therapies for intervertebral disc regeneration: lessons learned from embryonic development and phathophysiology -- 8. Developmental biology in tendon tissue engineering -- 9. Biomimetric tissue engineering for musculoskeltal tissues -- 10. Clinical translation of cartilage tissue engineering, from embryonic development to a promising long-term solution. |
| Record Nr. | UNINA-9910583468603321 |
| London : , : Academic Press, An imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Essentials of time series for financial applications / / Massimo Guidolin, Manuela Pedio
| Essentials of time series for financial applications / / Massimo Guidolin, Manuela Pedio |
| Autore | Guidolin Massimo |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (723 pages) |
| Disciplina | 519.55 |
| Soggetto topico |
Time-series analysis
Econometrics |
| ISBN |
0-12-813410-0
0-12-813409-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583047203321 |
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Guidolin Massimo
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| London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fintech and the remaking of financial institutions / / John Hill, School of Management, Marist College, Town of Poughkeepsie, NY, United States
| Fintech and the remaking of financial institutions / / John Hill, School of Management, Marist College, Town of Poughkeepsie, NY, United States |
| Autore | Hill John |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (xiv, 372 pages) : illustrations |
| Disciplina | 332.1 |
| Soggetto topico | Financial institutions - Technological innovations |
| ISBN |
0-12-813498-4
0-12-813497-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Disruption and Disintermediation in Financial Products and Services: Why Now? -- Money : A Medium of Exchange, Unit of Account and Store of Wealth -- Financial Institutions -- Bubbles, Panics, Crashes, and Crises -- Bank Lending -- Time Value of Money: Interest, Bonds, Money Market Funds -- Equities, Efficient Markets, Exchanges -- Foreign Exchange -- Forwards, Futures, and Swaps -- Commodities -- Options -- Startup Financing -- Fintech in a Global Setting -- Fintech and Government Regulation : if it quacks like a bank ... -- Social Issues : Diversity and Inclusion, Unemployment, and Income Distribution -- They are not dead yet : how big financial institutions will work with Fintech startups to define the market structure of the future. |
| Record Nr. | UNINA-9910583069103321 |
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Hill John
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| London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human remains : another dimension : the application of imaging to the study of human remains / / edited by David Errickson, Teesside University, Middlesbrough, United Kingdom, Tim Thompson, Teesside University, Middlesbrough, United Kingdom
| Human remains : another dimension : the application of imaging to the study of human remains / / edited by David Errickson, Teesside University, Middlesbrough, United Kingdom, Tim Thompson, Teesside University, Middlesbrough, United Kingdom |
| Pubbl/distr/stampa | London : , : Academic Press, An imprint of Elsevier, , [2017] |
| Descrizione fisica | 1 online resource (xii, 204 pages) : illustrations (some color) |
| Disciplina | 930.1028 |
| Collana | Gale eBooks |
| Soggetto topico | Human remains (Archaeology) - Imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ch. 1. Context / Tim Thompson -- ch. 2. The rot sets in : low-powered microscopic investigation of taphonomic changes to bone microstructure and its application to funerary contexts / Thomas Booth -- ch. 3. Human bone and dental histology in an archaeological context / Justyna J. Miszkiewicz and Patrick Mahoney -- ch. 4. "Cut to the bone" : the enhancement and analysis of skeletal trauma using scanning electron microscopy / Jenna M. Dittmar -- ch. 5. The role of radiography in disaster victim identification / Jacquie Vallis -- ch. 6. Recording in Situ human remains in three dimensions : applying digital image-based modeling / Priscilla F. Ulguim -- ch. 7. Shedding light on skeletal remains : the use of structured light scanning for 3D archiving / David Errickson -- ch. 8. The use of laser scanning for visualization and quantification of abrasion on water-submerged bone / Samuel J. Griffith and Charlotte E.L. Thompson -- ch. 9. Laser scanning of skeletal pathological conditions / Andrew S. Wilson, Andrew D. Holland and Tom Sparrow -- ch. 10. Virtual reconstruction of cranial remains : the H. Heidelbergensis, Kabwe 1 fossil / Ricardo M. Godinho and Paul O'Higgins -- ch. 11. Pediatric medicine : postmortem imagining in suspected child abuse / Mayonne van Wijk [and three others] -- ch. 12. The storage and long-term preservation of 3D data / Kieron Niven and Julian D. Richards -- ch. 13. Management of 3D image data / Summer Decker and Jonathan Ford -- ch. 14. Ethical considerations : an added dimension / Nicholas Marquez-Grant and David Errickson. |
| Record Nr. | UNINA-9910583478403321 |
| London : , : Academic Press, An imprint of Elsevier, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human resilience against food insecurity / / John M. Ashley
| Human resilience against food insecurity / / John M. Ashley |
| Autore | Ashley John Michael |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (262 pages) |
| Disciplina | 155.24 |
| Soggetto topico |
Resilience (Personality trait)
Food security Food supply |
| ISBN |
0-12-811053-8
0-12-811052-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583362703321 |
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Ashley John Michael
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| London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intracranial aneurysms / / edited by Andrew J. Ringer
| Intracranial aneurysms / / edited by Andrew J. Ringer |
| Pubbl/distr/stampa | London : , : Academic Press, An imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (738 pages) |
| Disciplina | 617.481 |
| Soggetto topico |
Intracranial aneurysms - Surgery
Intracranial aneurysms - Treatment |
| ISBN |
0-12-811883-0
0-12-811740-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583389303321 |
| London : , : Academic Press, An imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Managing global warming : an interface of technology and human issues / / edited by Trevor M. Letcher
| Managing global warming : an interface of technology and human issues / / edited by Trevor M. Letcher |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2019] |
| Descrizione fisica | 1 online resource (822 pages) |
| Disciplina | 363.73874 |
| Soggetto topico |
Global warming
Climatic changes Carbon dioxide mitigation |
| ISBN | 0-12-814105-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Managing Global Warming: An Interface of Technology and Human Issues -- Copyright -- Contents -- List of contributors -- Section A: Introduction -- Chapter 1: Why do we have global warming? -- 1.1. The greenhouse effect -- 1.2. The root cause of global warming -- 1.3. Other causes of global warming and climate change including global cooling -- 1.4. Indicators of climate change -- 1.5. Why we must act now -- 1.6. What must be done to reduce global warming? -- 1.7. Are we making progress in reducing global warming? -- 1.8. Conclusions -- References -- Chapter 2: The Paris Agreement-Implications for greenhouse gas removal and zero emissions energy production -- 2.1. Introduction -- 2.2. Methodology -- 2.3. Plausibility -- 2.4. The numbers -- 2.4.1. Business as usual -- 2.4.2. Zero emissions energy only -- 2.4.3. Zero emissions energy/Reducing energy consumption -- 2.4.4. Zero emissions energy/Reducing energy consumption/Carbon intensity reduction -- 2.4.5. Greenhouse gas removal -- 2.5. Applying plausibility -- 2.5.1. Fossil fuel emissions -- 2.5.2. Reduction in energy consumption (REC) -- 2.5.3. Reduction in FF carbon intensity (CIR) -- 2.5.4. Greenhouse gas removal (GGR) -- 2.6. Policy implications -- 2.6.1. Zero GGR -- 2.6.2. GGR of 1.5Gt(C)/yr -- 2.6.3. GGR of 5Gt(C)/yr -- 2.6.4. GGR of 10Gt(C)/yr -- 2.7. Delivering ZEE -- 2.8. Conclusion -- References -- Chapter 3: Current status of electricity generation in the world and future of nuclear power industry -- 3.1. Statistics on electricity generation in the world -- 3.2. Share and operation of various energy sources in an electrical grid -- 3.3. Modern thermal power plants -- 3.4. Modern nuclear power reactors and nuclear power plants -- 3.5. Conclusions -- Acknowledgments -- References -- Section B: Reducing CO2: Fossil Fuels, Nuclear Energy.
Chapter 4: Current and future nuclear power reactors and plants -- 4.1. Introduction -- 4.2. Current nuclear power reactors and NPPs -- 4.2.1. Pressurized water reactors -- 4.2.2. Boiling water reactors -- 4.2.3. Pressurized heavy-water reactors -- 4.2.4. Advanced Gas-cooled Reactors -- 4.2.5. Light-water-cooled graphite-moderated reactors: RBMK and EGP -- 4.2.6. Sodium-cooled fast reactor: BN-600 and BN-800 -- 4.3. Generation IV International Forum -- 4.3.1. Introduction -- 4.3.2. Origins of the GIF -- 4.3.3. Generation IV goals -- 4.3.4. Selection of Generation IV systems -- 4.3.5. Six Generation IV nuclear energy systems -- 4.3.5.1. Very-high-temperature reactor -- 4.3.5.2. Gas-cooled fast reactor -- 4.3.5.3. Sodium-cooled fast reactor -- 4.3.5.4. Lead-cooled fast reactor -- 4.3.5.5. Molten-salt reactor -- 4.3.5.6. Supercritical water-cooled reactors -- 4.3.6. Additional reactor classifications -- 4.3.7. Summary -- 4.4. Comparison of thermophysical properties of reactor coolants -- 4.4.1. Introduction -- 4.4.1.1. Generation II, III, and III+ reactor coolants -- 4.4.1.2. Generation IV reactor coolants -- 4.4.2. Reactor coolants by type -- 4.4.2.1. Fluid coolants -- 4.4.2.2. Gas coolants -- 4.4.2.3. Liquid-metal coolants -- 4.4.2.4. Molten-salt coolants -- 4.4.3. Thermophysical properties of proposed Generations II, III, III+, and IV reactor coolants -- 4.4.4. Heat-transfer coefficients in nuclear power rectors -- 4.4.5. Conclusions -- 4.5. Concise overview of conventional and alternative nuclear fuels -- 4.5.1. Introduction -- 4.5.2. Metallic fuels -- 4.5.3. Ceramic fuels -- 4.5.3.1. Oxide fuels -- 4.5.3.2. Carbide fuels -- 4.5.3.3. Nitride fuels -- 4.5.4. Hydride fuels -- 4.5.5. Composite fuels -- 4.5.6. Nuclear fuel cycles and global sustainability -- Acknowledgments -- References -- Chapter 5: Nuclear fusion: What of the future?. 5.1. The promise of fusion -- 5.1.1. Fusion resources -- 5.1.2. Fusion safety -- 5.2. Fusion concepts -- 5.2.1. Magnetic confinement -- 5.2.2. Inertial confinement -- 5.3. Main technology challenges -- 5.3.1. Reactor materials -- 5.3.2. Power exhaust -- 5.3.3. Breeder blanket -- 5.3.4. Superconducting magnets -- 5.3.5. Remote handling -- 5.3.6. Heating and current drive -- 5.3.7. Other plant issues -- 5.4. Fusion's role in future energy markets -- 5.5. Status of current research -- 5.6. Summary -- References -- Further reading -- Chapter 6: Global renewable energy resources and use in 2050 -- 6.1. Introduction -- 6.2. Biomass energy -- 6.2.1. Introduction -- 6.2.2. Bioenergy in 2050 -- 6.3. Hydroelectricity -- 6.3.1. Introduction -- 6.3.2. Hydroelectricity in 2050 -- 6.4. Wind energy -- 6.4.1. Introduction -- 6.4.2. Wind energy in 2050 -- 6.5. Solar energy -- 6.5.1. Introduction -- 6.5.2. Solar energy in 2050 -- 6.6. Geothermal energy -- 6.6.1. Introduction -- 6.6.2. Geothermal energy in 2050 -- 6.7. Other possible renewable energy sources -- 6.8. Discussion -- References -- Further reading -- Section C: Reducing Greenhouse Gases: Renewables and Zero Carbon/Carbon Neutral Forms of Energy and Electric Cars -- Chapter 7: Methane hydrate as a ``new energy´´ -- 7.1. Introduction -- 7.1.1. What is methane hydrate? -- 7.1.2. Where is the reserve and how much? -- 7.2. Production methods -- 7.2.1. Thermal recovery method -- 7.2.2. Depressurization method -- 7.3. Testing equipment and sample preparation -- 7.3.1. Triaxial testing apparatus -- 7.3.2. Specimen preparation -- 7.3.3. Generation of MH and experimental procedure -- 7.3.4. Triaxial compression tests -- 7.3.4.1. Testing condition -- 7.3.4.2. Test results -- 7.4. MH dissociation tests -- 7.4.1. Initial stress before MH dissociation started -- 7.4.2. Depressurization method -- 7.4.3. Thermal recovery. 7.4.4. Experimental findings -- 7.5. DEM simulation of MH dissociation process -- 7.5.1. Reproduction of MH dissociation process using DEM -- 7.5.2. Micromechanism associated with MH dissociation -- 7.6. Conclusions -- References -- Chapter 8: Hydropower -- 8.1. Introduction -- 8.2. Hydropower generation-Theory -- 8.3. Technology -- 8.3.1. Hydropower project classification -- 8.3.2. Run-of-river hydropower plants -- 8.3.3. Storage hydropower plants -- 8.3.4. Pumped-storage hydropower plants -- 8.3.5. In-stream (hydrokinetic) hydropower plants -- 8.4. Classification according to size-Small and large hydro -- 8.5. Cutting-edge technology -- 8.5.1. Extending operational regime for turbines -- 8.5.2. Utilizing low or very low head-Unpowered dams -- 8.5.3. Fish-friendly hydropower plants -- 8.5.4. Tunneling and underground power plants -- 8.5.5. Surge tanks in hydropower plants -- 8.6. Hydropower resources-Potential -- 8.6.1. Definition of potential -- 8.6.2. Global and regional overview -- 8.7. Existing generation-Regional and global status -- 8.7.1. Historical trends in hydropower production -- 8.7.2. Countries with highest hydropower production -- 8.7.3. Share of hydropower in the global energy mix -- 8.7.4. Share of hydropower from small and large hydro -- 8.8. Cost issues -- 8.9. Integration into broader energy system -- 8.9.1. Energy management services -- 8.9.2. Energy storage -- 8.9.3. Pumped-storage hydro -- 8.9.4. Role in water management -- 8.10. Sustainability issues -- 8.10.1. Environmental and social impacts -- 8.10.2. Greenhouse gas emissions and carbon footprint -- 8.10.3. Energy payback -- 8.10.4. Water consumption and water footprint -- 8.10.5. Sediment issues and reservoir sedimentation -- 8.10.6. Climate change issues -- 8.11. Hydropower in the future-Potential deployment -- 8.11.1. Energy production. 8.11.2. Pumped-storage hydropower -- 8.12. Summary -- References -- Chapter 9: Solar energy -- 9.1. What is solar energy? -- 9.2. Solar energy adoption -- 9.3. Barriers to solar energy adoption -- 9.4. Research in solar devices -- 9.5. The potential of solar energy to reduce greenhouse gas emissions -- References -- Chapter 10: Wind power: A sustainable way to limit climate change -- 10.1. Wind among the renewables -- 10.2. Wind power data -- 10.3. Wind energy in a nutshell -- 10.3.1. What is wind? -- 10.3.2. How much power is there in wind? -- 10.4. Wind turbines -- 10.4.1. History of wind turbine -- 10.4.2. The anatomy of a modern wind turbine -- 10.4.3. How much power can a turbine generate? -- 10.4.4. Offshore wind farms -- 10.5. Offshore wind farm site selection -- 10.6. Case study: Performance of nearshore wind farm during 2012 Tohoku earthquake -- 10.6.1. Why did the wind farm stand up? -- 10.7. Future of offshore wind farm and sustainability -- 10.7.1. Sustainability -- 10.7.1.1. Decommissioning of Lely wind farm -- 10.7.2. ASIDE: Banning of petrol and diesel cars from 2040 and offshore wind energy -- 10.8. Summary -- References -- Chapter 11: Storing electrical energy -- 11.1. Introduction -- 11.2. Electricity energy storage -- 11.3. Pumped hydropower -- 11.4. Compressed air energy storage -- 11.5. Battery energy storage systems -- 11.6. Liquid air energy storage -- 11.7. Superconducting magnetic storage -- 11.8. Chemical Storage (H2 and CH4) -- 11.9. Vehicle-to-grid systems -- 11.10. Other methods of storing electrical energy -- 11.11. Conclusion -- References -- Further reading -- Chapter 12: Bioenergy -- 12.1. The role of bioenergy -- 12.2. Advantages of bioenergy -- 12.3. Emission reductions and carbon balance -- 12.4. Sustainability -- 12.5. Bioenergy case study: Generating low carbon energy from agricultural & food wastes. 12.5.1. Anaerobic digestion of agriculture manures and slurries. |
| Record Nr. | UNINA-9910583369603321 |
| London, United Kingdom : , : Academic Press, An imprint of Elsevier, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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