Tabla de Contenidos: “…Chapter 4: Regime-switching Methods for Forecasting -- 4.1 REGIME-SWITCHING AUTOREGRESSIVE MODEL -- 4.1.1 Physically Motivated Regime Definition -- 4.1.2 Data-driven Regime Determination -- 4.1.3 Smooth Transition between Regimes -- 4.1.4 Markov Switching between Regimes -- 4.2 REGIME-SWITCHING SPACE-TIME MODEL -- 4.3 CALIBRATION IN REGIME SWITCHING METHOD -- 4.3.1 Observed Regime Changes -- 4.3.2 Unobserved Regime Changes -- 4.3.3 Framework of Calibrated Regime-switching -- 4.3.4 Implementation Procedure -- 4.4 CASE STUDY -- 4.4.1 Modeling Choices and Practical Considerations -- 4.4.2 Forecasting Results -- Part II: Wind Turbine Performance Analysis -- Chapter 5: Power Curve Modeling and Analysis -- 5.1 IEC BINNING: SINGLE-DIMENSIONAL POWER CURVE -- 5.2 KERNEL-BASED MULTI-DIMENSIONAL POWER CURVE -- 5.2.1 Need for Nonparametric Modeling Approach -- 5.2.2 Kernel Regression and Kernel Density Estimation -- 5.2.3 Additive Multiplicative Kernel Model -- 5.2.4 Bandwidth Selection -- 5.3 OTHER DATA SCIENCE METHODS -- 5.3.1 k-Nearest Neighborhood Regression -- 5.3.2 Tree-based Regression -- 5.3.3 Spline-based Regression -- 5.4 CASE STUDY -- 5.4.1 Model Parameter Estimation -- 5.4.2 Important Environmental Factors Affecting Power Output -- 5.4.3 Estimation Accuracy of Different Models -- Chapter 6: Production Efficiency Analysis and Power Curve -- 6.1 THREE EFFICIENCY METRICS -- 6.1.1 Availability -- 6.1.2 Power Generation Ratio -- 6.1.3 Power Coefficient -- 6.2 COMPARISON OF EFFICIENCY METRICS -- 6.2.1 Distributions -- 6.2.2 Pairwise Differences -- 6.2.3 Correlations and Linear Relationships -- 6.2.4 Overall Insight -- 6.3 A SHAPE-CONSTRAINED POWER CURVE MODEL -- 6.3.1 Background of Production Economics -- 6.3.2 Average Performance Curve -- 6.3.3 Production Frontier Function and Effi ciency Metric -- 6.4 CASE STUDY…”

Tabla de Contenidos: “…12.3.2.3 Total Resource Availability T Regulates Saddle Node Bifurcation Curve -- 12.4 Conclusion -- Acknowledgement -- References -- Chapter 13 A Hybrid Approach to Ontology Evaluation -- 13.1 Introduction -- 13.2 Background -- 13.3 The Developed OntoEva Method -- 13.4 Ontology Selection for Epilepsy Disorder -- 13.4.1 Accuracy -- 13.4.2 Adaptability -- 13.4.3 Clarity -- 13.4.4 Completeness -- 13.4.5 Conciseness -- 13.4.6 Consistency -- 13.4.7 Organizational Fitness -- 13.5 Results -- 13.6 Comparison of Ontologies -- 13.7 Conclusion -- References -- Chapter 14 Smart Health Care Waste Segregation and Safe Disposal -- 14.1 Introduction -- 14.2 Related Works -- 14.3 System Architecture -- 14.3.1 Wrapping -- 14.3.2 Incinerator -- 14.3.3 Conveyor Cleaning System -- 14.3.4 Circuit Diagram -- 14.3.5 Optimal Path Planning Algorithm for Waste Collection -- 14.4 Methodology -- 14.5 Mobile App -- 14.6 Conclusions and Future Works -- Declarations -- Availability of Data and Materials -- Competing Interests -- Author's Contribution -- References -- Chapter 15 Investigation of Viscoelastic Magnetohydrodynamics (MHD) Flow Over an Expanded Lamina Surrounded in a Permeable Media -- 15.1 Introduction -- 15.1.1 Literature Review -- 15.1.2 Nomenclature -- 15.2 Formulation of the Problem -- 15.2.1 Analytical Solution -- 15.2.2 Numerical Methods (Spectral Quasi-Linearization Methods) -- 15.3 Result and Argument -- 15.4 Conclusion -- References -- Chapter 16 Quickest Multi-Commodity Contraflow with Non-Symmetric Traversal Times -- 16.1 Introduction -- 16.2 Preliminaries with Flow Models -- 16.2.1 Mathematical Model with Contraflow -- 16.3 QMCCF with Non-Symmetric Transit Times -- 16.3.1 Approximation Approach for the QMCCF -- 16.4 Conclusions -- Acknowledgments -- References…”

Tabla de Contenidos: “…BASED OPTICAL FIBER SENSING TECHNOLOGY; 6.1 Optical Fiber Sensor Based on Fiber Tip Micro-Michelson Interferometer; 6.2 Optical Fiber Sensor Based on Angled Fiber End; 6.3 Optical Fiber Sensor Based on In-Line Interferometer; ; CHAPTER 7 SURFACE-PLASMON-RESONANCE-BASED OPTICAL FIBER SENSING TECHNOLOGY; 7.1 Coating of Optical Fiber; 7.2 Theoretical Modeling Multimode Optical Fiber Sensor Based on SPR; 7.3 EMD-Based Filtering Algorithm; ; CHAPTER 8 SAGNAC-INTERFEROMETER-BASED OPTICAL FIBER SENSING TECHNOLOGY; 8.1 Principle of Sagnac Interferometer; 8.2 Optical Fiber Gyroscope; 8.3 The Optical Fiber Coil Quality Inspection Method; 8.3.1 Group Birefringence Thermal Coefficient of Polarization-Maintaining Fibers; 8.3.2 Optical Fiber Coil Winding Method; 8.3.3 Polarization Crosstalk Measurement; 8.3.4 Transient Characteristics Measurement with Temperature Stimulation; 8.4 Optical Fiber Current Sensing; ; CHAPTER 9 MODE-INTERFERENCE-BASED OPTICAL FIBER SENSING TECHNOLOGY; 9.1 Mode Interference Theory of Singlemode-Multimode-Singlemode; 9.2 Optical Fiber Refractive Index Sensor Based on SMS; 9.2.1 Sensor Design and Fabrication; 9.2.2 Self-Temperature-Compensation Sensing; 9.2.3 Simultaneous Refractive Index and Temperature Sensing; 9.3 Optical Fiber Magnetic Field Sensor Based on SMS; 9.3.1 Magnetic Fluid; 9.3.2 Sensor Design and Fabrication; 9.3.3 Simultaneous Magnetic Field and Temperature Sensing; ; CHAPTER 10 WHISPER-GALLERY-MODE-BASED OPTICAL FIBER SENSING TECHNOLOGY; 10.1 Whisper-Gallery-Mode Theory; 10.2 Process of Micro Capillary With Inner Pressure Air; 10.2.1 Drawing System and Drawing Model; 10.2.2 Fabrication of Microtube; 10.2.3 Fabrication of Hollow Microsphere; 10.3 Optical Fiber Magnetic Field Sensor Based on Microtube WGM; 10.3.1 Magnetic Nanoparticle Assembly; 10.3.2 Sensor Fabrication and Measurement; 10.4 Optical Fiber Dual Parameters Sensor Based on Hollow Microsphere WGM; 10.5 Ultraprecise Resonance Wavelength Determination Method; ; CHAPTER 11 OPTICAL FIBER INTRA-CAVITY LASER GAS SENSING TECHNOLOGY; 11.1 Theory of Optical Fiber Intra-Cavity Laser Gas Sensing; 11.1.1 Principle of Optical Fiber Laser; 11.1.2 Sensitivity Enhancement of Gas Sensing by Direct Absorption; 11.1.3 Optical Fiber Intra-Cavity Laser Gas Sensing by Wavelength Modulation; 11.1.4 Effect of Temperature on Performance of Gas Sensing; 11.2 Optical Fiber Intra-Cavity Laser Gas Sensing System Design; 11.3 Spectrum Signal Process; 11.3.1 De-Noise with EMD; 11.3.2 Baseline Extraction; 11.3.3 Spectrum Separation; 11.3.4 Concentration Demodulation; 11.4 Wavelength Calibration Analysis and Gas Recognition; ; CHAPTER 12 OPTICAL FIBER BASED OPTICAL COHERENCE TOMOGRAPHY; 12.1 Optical Fiber Coherence Tomography Theory; 12.1.1 Time-Domain Optical Fiber Based Optical Coherence Tomography; 12.1.2 Frequency-Domain Optical Fiber Based Optical Coherence Tomography; 12.2 Functional Optical Fiber Based Optical Coherence Tomography; 12.2.1 Doppler Optical Coherence Tomography; 12.2.2 Polarization Sensitive Optical Coherence Tomography; 12.3 Biomedical Applications; 12.3.1 Dentistry; 12.3.2 Cardiovasology; 12.3.3 Neurology; ; CHAPTER 13 DISCRETE OPTICAL FIBER SENSING NETWORK TECHNOLOGY; 13.1 Topology of Optical Fiber Sensing Network; 13.2 Robustness Evaluation of Optical Fiber Sensing Network; 13.2.1 Robustness Evaluation Model; 13.2.2 Robustness Affection Factor; 13.2.3 Optimization Arrangement; ; CHAPTER 14 DISTRIBUTED VIBRATION SENSING BASED ON DUAL MACH-ZEHNDER INTERFEROMETER; 14.1 Theory of Distributed Vibration Sensing Based on Dual Mach-Zehnder Interferometer; 14.1.1 Principle of System; 14.1.2 Performance Affection Factor; 14.2 Polarization Control Method; 14.2.1 Polarization-Induced Phase Shift and Polarization-Induced Fading; 14.2.2 Chaotic Particle Swarm Optimization Algorithm; 14.2.3 Genetic Algorithm; 14.2.4 Annealing Algorithm; 14.3 Interferometer Based Distributed Vibration Sensing Instrument Design; 14.4 Signal Process Algorithm and Instrument; 14.3.1 Endpoint Detection; 14.3.2 Position Determination; 14.3.3 Intrusion Pattern Recognition; ; CHAPTER 15 REGIONAL STYLE INTELLIGENT PERIMETER SECURITY TECHNIQUE BASE ON MICHELSON INTERFEROMETER; 15.1 Principle of System; 15.2 Instrument Design; 15.3 Perimeter Security Application; ; CHAPTER 16 DISTRIBUTED TEMPERATURE SENSING BASED ON RAMAN SCATTERING; 16.1 Raman Scattering Theory; 16.2 Principle of System; 16.3 Systemn Design; 16.4 De-Noising Algorithm Based on EEMD; 16.5 Applicaion on Electric Power Industry; ; CHAPTER 17 DISTRIBUTED ACOUSTIC SENSING BASED ON OPTICAL TIME DOMAIN REFLECTOMETRY; 17.1 Theory of Optical Time Domain Reflectometry; 17.1.1 Direct-Detection-Based Phase Optical Time Domain Reflectometry; 17.1.2 Coherent-Detection-Based Phase Optical Time Domain Reflectometry; 17.2 Pulse Modulation Method; 17.3 Acoustic Sensitivity Enhance Method of Optical Fiber; 17.4 Dual-Pulse Coherent Phase Optical Time Domain Reflectometry; 17.5 Chirp-Pulse Phase Optical Time Domain Reflectometry; ; CHAPTER 18 DISTRIBUTED SENSING BASED ON OPTICAL FREQUENCY DOMAIN REFLECTOMETRY; 18.1 Principle of Optical Frequency Domain Reflectometry; 18.2 Measurement Range OFDR Beyond Laser Coherence Length; 18.3 Laser Frequency Tuning Nonlinearity and Compensation; 18.3.1 Laser Frequency Tuning Nonlinearity; 18.3.2 Compensation Using Non-Uniform Fast Fourier Transform; 18.3.3 Compensation Using Deskew Filter; 18.4 Distributed Sensing System and Application; 18.4.1 Distributed Vibration Sensing Base on Correlation Analysis; 18.4.2 Distributed Strain and Temperature Measurement; 18.4.3 Distributed Magnetic Field and Current Sensor Bas…”

Tabla de Contenidos: “…5.3 Applications of Site-Specific Recombination -- 5.3.1 Integration into a single specific site -- 5.3.2 Integration into two sites -- 5.3.3 Modification of transgenes -- 5.3.4 Gene locus-directed chromosome modification: deletions, inversions and translocations -- 5.4 Conclusions -- 6 Receptor-Mediated Ovary Transduction of Cargo - ReMOT Control: a Comprehensive Review and Detailed Protocol for Implementation -- 6.1 History of Transgenic Methods in Arthropods -- 6.2 Development of CRISPR-based Technologies -- 6.3 Problems with Traditional Embryonic Microinjection -- 6.4 ReMOT Control Development -- 6.5 Summary of ReMOT Control Successes -- 6.5.1 Mosquitoes -- 6.5.2 Non-mosquito insects -- 6.6 Challenges and Future Directions -- 6.7 Recommendations for Adaptation of ReMOT Control to New Species -- 6.8 Generalized ReMOT Control Protocol -- 6.8.1 Prior to ReMOT Control -- 6.8.2 One day before injections -- 6.8.3 On injection day -- 6.8.4 Screening protocol -- 6.8.5 In vitro protein expression protocol -- 7 Site-Directed DNA Sequence Modification Using CRISPR-Cas9 -- 7.1 The CRISPR/Cas9 Revolution -- 7.1.1 CRISPR/Cas systems in bacterial immunity -- 7.1.2 CRISPR/Cas9 as a genome editing tool -- 7.2 Site-Directed Genomic Modifications in Insects (Version 2.0) -- 7.2.1 Designing sgRNA -- 7.2.2 Delivery of Cas9-gRNA complexes -- 7.2.3 Identifying genomic modifications -- 7.3 Applications of CRISPR/Cas9 in Insects -- 7.3.1 Developing markers for mutants -- 7.3.2 Testing gene function before making a gene drive -- 7.3.3 Functional genomics in evolution -- 7.4 Concluding Remarks -- 8 An Introduction to the Molecular Genetics of Gene Drives and Thoughts on Their Gradual Transition to Field Use -- 8.1 Introduction -- 8.2 Molecular Mechanism of CRISPR Homing-based Drive Systems -- 8.3 Population Modification -- 8.4 Population Suppression…”

Tabla de Contenidos: “…13.3.1 Scaling-Invariant Conditions Revisited -- 13.3.2 Gluing Vertices -- Gluing Vertices with One-Dimensional Vertex Conditions -- Gluing Vertices with Hyperplanar Vertex Conditions -- 13.3.3 Spectral Gap and Gluing Vertices with Scaling-Invariant Conditions -- 13.4 Gluing Vertices with General Vertex Conditions -- 14 Ambartsumian Type Theorems -- 14.1 Two Parameters Fixed, One Parameter Varies -- 14.1.1 Zero Potential Is Exceptional: Classical Ambartsumian Theorem -- 14.1.2 Interval-Graph Is Exceptional: Geometric Version of Ambartsumian Theorem for Standard Laplacians -- 14.1.3 Standard Vertex Conditions Are Not Exceptional -- 14.2 One Parameter Is Fixed, Two Parameters Vary -- 14.2.1 Standard Vertex Conditions Are Exceptional: Schrödinger Operators on Arbitrary Graphs -- 14.2.2 Zero Potential: Laplacians on Graphs that Are Isospectral to the Interval -- 14.2.3 Single Interval: Schrödinger Operators Isospectral to the Standard Laplacian -- Crum's Procedure -- Inverting Crum's Procedure -- 15 Further Theorems Inspired by Ambartsumian -- 15.1 Ambartsumian-Type Theorem by Davies -- 15.1.1 On a Sufficient Condition for the Potential to Be Zero -- 15.1.2 Laplacian Heat Kernel -- Heat Kernel for the Dirichlet Laplacian on an Interval -- Heat Kernel for the Standard Laplacian on the Graph -- 15.1.3 On Schrödinger Semigroups -- 15.1.4 A Theorem by Davies -- 15.2 On Asymptotically Isospectral Quantum Graphs -- 15.2.1 On the Zeroes of Generalised TrigonometricPolynomials -- 15.2.2 Asymptotically Isospectral Quantum Graphs -- 15.2.3 When a Schrödinger Operator Is Isospectral to a Laplacian -- 16 Magnetic Fluxes -- 16.1 Unitary Transformations via Multiplications and Magnetic Schrödinger Operators -- 16.2 Vertex Phases and Transition Probabilities -- 16.3 Topological Damping of Aharonov-Bohm Effect -- 16.3.1 Getting Started…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Artificial Intelligence in Risk Management -- 1.1 Introduction -- 1.1.1 Context and the Driving Force Behind It -- 1.1.2 Aim of This Chapter -- 1.1.3 Outline of This Chapter -- 1.2 The Role of AI in Risk Management -- 1.2.1 The Significance of Risk Management -- 1.2.2 Deficiencies in Conventional Methods of Risk Management -- 1.2.3 The Requirement for Advanced Methods -- 1.3 Role of Artificial Intelligence in Risk Management -- 1.3.1 An Overview of Artificial Intelligence and Its Applications -- 1.3.2 Applications of AI-Based Methods in Risk Management -- 1.4 The Challenges of Implementing AI-Based Risk Management Systems -- 1.5 The Benefits of Using Artificial Intelligence in Risk Management -- 1.6 Conclusions and Future Considerations of AI in Risk Management -- 1.6.1 A Brief Review of the Role of AI in Risk Management -- 1.6.2 Perspectives on the Future -- 1.6.3 The Transformative Power of AI in Risk Management -- 1.7 The Implications and Factors to Take Into Account While Using AI in Risk Management -- 1.8 Overcoming Obstacles and Putting AI to Work in Risk Management -- 1.9 Conclusion -- References -- Chapter 2 Application of Artificial Intelligence in Risk Assessment and Mitigation in Banks -- 2.1 Introduction -- 2.2 Transitions in Banking Due to AI -- 2.3 Risk Assessment and Mitigation through Artificial Intelligence -- 2.3.1 Fraud Recognition -- 2.3.2 Regulatory Compliance Management -- 2.3.3 Credit Risk Modeling -- 2.3.4 Insider Threat Prevention -- 2.4 General Banking Regulations Pertaining to Artificial Intelligence -- 2.5 Methodology -- 2.5.1 Bibliometric Analysis -- 2.5.2 Co-Occurrence Analysis -- 2.6 Theoretical Implications -- 2.7 Managerial Implications -- 2.8 Future Scope -- 2.9 Conclusion -- References…”

Tabla de Contenidos: “…8.3 Evaluation of Postfix Expression -- 8.4 Conversion of Expression from Infix to Postfix -- 8.5 Reverse String -- 8.6 Stack Frames -- 8.7 Conversion of Number System -- 8.8 Recursion -- 8.9 Activation Record Organization -- 8.10 Scope Rules -- 8.11 Scope Rules Through Stack -- Summary -- Exercises -- Chapter 9: Trees -- 9.1 Introduction -- 9.2 Basic Terms -- 9.3 General Tree -- 9.4 Binary Trees -- 9.5 Complete Binary Tree -- 9.6 Strictly Binary Tree -- 9.7 Extended Binary Tree -- 9.8 Binary Tree Representation -- 9.8.1 Array Representation of Binary Tree -- 9.8.2 Linked Representation of Binary Tree -- 9.9 Operations on Binary Trees -- 9.10 Traversal of a Binary Tree -- 9.10.1 Inorder Traversal -- 9.10.2 Preorder Traversal -- 9.10.3 Postorder Traversal -- 9.10.4 Creation of a Binary Tree from its Traversals -- 9.11 Conversion of Expression into Postfix -- 9.12 Binary Search Tree -- 9.12.1 Searching an Element in Binary Search Tree -- 9.12.2 Insertion of an Element in Binary Search Tree -- 9.12.3 Traversing the Binary Search Tree -- 9.13 Threaded Binary Tree -- 9.14 B-Tree (Balanced Multi-way Tree) -- 9.14.1 B-Tree Insertion -- 9.14.2 B-Tree Deletion -- 9.15 B-Tree of Order 5 -- 9.16 B+ Tree -- 9.17 AVL Tree -- 9.17.1 Balance Factor (BF) -- 9.17.2 Characteristics of AVL Tree -- Summary -- Exercises -- Chapter 10: Graphs -- 10.1 Introduction -- 10.2 Graphs -- 10.3 Terminologies of Graph -- 10.4 Graph Representation -- 10.4.1 Adjacency List -- 10.5 Traversal in Graph -- 10.6 Spanning Trees -- 10.6.1 Breadth First Search -- 10.6.2 Depth First Search -- 10.6.3 Indegree and Outdegree of Vertex -- 10.6.4 Topological Sorting -- 10.6.5 Path Matrix -- 10.6.6 Transitive Relation -- 10.6.7 Warshall's Algorithm -- Summary -- Exercises -- Chapter 11: Sorting -- 11.1 Introduction -- 11.2 Sorting -- 11.3 Insertion Sort -- 11.4 Selection Sort -- 11.5 Bubble Sort…”

Tabla de Contenidos: “…#8 Hire People with Abilities You Can't Teach -- #9 Develop a Business Case for Hires -- #10 Always Stay on the Hunt for Talent -- #11 Stop Recruiting Junior Hires -- #12 Hire with the Aim of Leveling Up -- #13 Look for a Culture Add -- #14 Develop Department Transition Plans Fast -- #15 The First 30 to 90 Days Are Indicative of the Next Five Years -- #16 Do Weekly Onboard Check-Ins for an Employee's First Month -- #17 Develop an Onboarding Schedule That Lets New Employees Showcase Their Talents ASAP -- #18 Hold Regular One-on-Ones and Let Your Employee Lead the Conversation -- #19 Build a New-Hire Orientation Template -- General -- Team Operations -- Communication -- 30-60-90 -- #20 Teach Fast -- #21 Invest in Training and Technology for the Team -- #22 Buy Yourself Leverage -- #23 Start a Mentorship Program -- #24 Teach New Team Members to Study Top Employees -- #25 When Onboarding, Share the Top 20% Data -- #26 Deliver Positive Feedback for Improvement -- #27 Hold Effective One-on-One Meetings: Skip Level Template -- Company Strategy -- Career Development -- #28 Make Your One-on-One Meetings Cross-Functional -- Team Collaboration -- Planning and Priorities -- #29 Don't Take Employee Churn Too Personally -- #30 Hire Higher -- #31 Don't Forget the Number-One Reason People Join Startups -- Month 3 Developing a High-Performance Culture -- #1 The Team's Success Is Your Success -- #2 Build an Amazing Culture -- #3 Learn the Four Keys to a Balanced Work Culture -- #4 Bring Out the Creative Genius in Your Team -- #5 Help Spread Rock-Star Qualities -- #6 Teach Your Team to Go the Extra Mile -- #7 Do the Hard Things -- #8 The Sum Is Greater Than the Parts -- #9 Training Never Stops -- #10 Study Your Game Film -- #11 Figure Out the "One Thing" -- #12 Add Insane Value -- #13 Adopt a Bias Toward Action -- #14 Your Next Victory Requires a Single Step…”

Tabla de Contenidos: “…Multi-level latent class model -- 2.4.8. Latent transition analysis -- 2.4.9. Case study -- 2.4.10. …”

“…It can be applied in kinetic studies as well as to measure physical changes of first- and second-order transitions such as glass transition, melting, and crystallization. …”

“…This primer presents some promising and innovative mileage fee system designs and transition strategies. For states or localities that are considering a transition to mileage fees, awareness of these strategies can help determine whether shifting from fuel taxes to mileage fees merits further consideration. …”

“…For over twenty years, the region has been stuck in a never-ending transition. Politics, economics, and geopolitics are still falling prey to old and new sources of instability. …”

“…Boron-based compounds have been utilized as ligands within transition metal complexes for many decades. The diversity of such compounds in terms of varying functional groups is truly exceptional. …”

“…The transition from an operating nuclear facility to the decommissioning phase is critical in the life cycle of every facility. …”

“…This report examines how India has integrated several policies in its energy transition strategy that are aligned with the LiFE initiative, highlighting the potential for behavioural change and consumption choices to help advance energy transitions globally. …”

“…"This book looks at teachers' social movements during the Spanish transition to democracy, between 1970 and 1985. It shows how ordinary teachers struggled to liberate their country's education system from the legacy of dictatorship. …”

“…This series includes, for each subject country: an examination of the the school-to-work transition process, a survey of the main barriers to employment for young people, an assessment of the adequacy and effectiveness of existing measures to improve the transition from school-to-work, and a set of policy recommendations for further action by the public authorities and social partners…”

“…Your roadmap for change also includes advice on how to make the transition successful by following a carefully crafted transition plan…”

“…In the book, you'll discover what net zero emissions means, how to implement net zero emission business models, what the overall transition to a net zero emissions economy looks like, and, ultimately, how civilization itself will transition to net zero. …”

“…The analysis covers: scientific, technical and medical (STM); social sciences, humanities and arts publishing; journals, research monographs, reference books and research databases as forms of content; academic publishing and some aspects of professional publishing. It focuses on the transition from print to digital delivery, to shed light on that transition, and it recognises scientific publishing as a central element in creation and dissemination of knowledge and in innovation systems…”