“…In this Special Issue, we have published papers on the health-promoting effects of nutraceuticals from different sources, and their effects in different pathologies. Extracts from plants have been analyzed, for example, extracts from olive leaves, Mikania micrantha, the devil’s claw, raspberries and others, alongside marine phytoplankton, egg-yolk and marketed dietary supplements. …”

Tabla de Contenidos: “…3 Cellular Automata Model -- 4 Quantum Cellular Automata -- 5 Partitioned Quantum Cellular Automata -- 6 Quantum-Dot Cellular Automata -- 7 Hybrid Fuzzy-Partitioned Quantum Cellular Automata Clustering Approach -- 8 Cellular Automata-Based Neighborhood Priority Correction Method -- 9 Partitioned Quantum Cellular Approach Using Majority Voting -- 10 Application to Pixel Classification -- 11 Quantitative Analysis -- 12 Statistical Analysis -- 13 Future Research Directions -- 14 Conclusion -- References -- Chapter 9: Quantum-inspired evolutionary algorithm for scaling factor optimization during manifold medical information embed -- 1 Introduction -- 2 Related Work -- 3 Mathematical Transformation -- 3.1 Discrete Wavelet Transform -- 3.2 Discrete Cosine Transform -- 3.3 Singular Value Decomposition -- 4 Evolutionary Algorithms and Quantum-Inspired Algorithms -- 4.1 Overview of Evolutionary Algorithms -- 4.1.1 Complexity analysis of evolutionary algorithms -- 4.2 Overview of Quantum Computing -- 4.2.1 Qubit representation -- 4.2.2 Quantum operator -- 4.3 Genetic Algorithm -- 4.3.1 Complexity analysis of genetic algorithms -- 4.4 Quantum-Inspired Genetic Algorithm -- 4.4.1 Complexity analysis of the quantum-inspired genetic algorithm -- 4.5 Quantum-Inspired Evolutionary Algorithm -- 4.5.1 Complexity analysis of the quantum-inspired evolutionary algorithm -- 5 Proposed Method -- 5.1 Watermark Embedding -- 5.2 Watermark Extraction -- 5.3 Generation of Optimal Scaling Factors With Use of the Genetic Algorithm, Quantum-Inspired Genetic Algorithm, or Quantum- -- 6 Results and Discussion -- 6.1 Performance Evaluation -- 6.2 Comparative Study of the Convergence Graphs -- 7 Conclusion -- Acknowledgments -- References -- Chapter 10: Digital filter design using a quantum-inspired multiobjective cat swarm optimization algorithm -- 1 Introduction…”

Tabla de Contenidos: “…Intro -- Preface -- Contents -- 1 Overview and Research Opportunities in Energy Management for Port Integrated Energy System -- 1.1 Introduction -- 1.2 Low-Carbon Technology in Ports -- 1.2.1 Electric Energy Substitution -- 1.2.2 Renewable Energy -- 1.2.3 Clean Fuel -- 1.2.4 Low-Carbon Port Management -- 1.3 Coupling Mechanism and Modeling for Energy and Logistics -- 1.3.1 Characteristics of Port Logistics Transportation -- 1.3.2 Coupling Mechanism of Energy and Logistics -- 1.3.3 Energy-Based Modeling of Logistics -- 1.4 Energy Management of Green Port Integrated Energy System -- 1.4.1 Port Integrated Energy System -- 1.4.2 Flexible Resources of Green Port -- 1.4.3 Energy Management Model of Port Integrated Energy System -- 1.5 Research Directions of Green Port Integrated Energy System -- 1.5.1 The Current Situation of Typical Ports -- 1.5.2 Future Research Directions -- 1.6 Conclusion -- References -- 2 Optimization Configuration of Renewable Energies and Energy Storages in Port Microgrids -- 2.1 Introduction -- 2.2 Scenario-Based Depiction of the Fluctuating Characteristics of Port Microgrid -- 2.3 High-Fidelity Compression and Reconstruction Method -- 2.3.1 Port Data Extraction and Integration -- 2.3.2 High-Fidelity Compression Based on Operational Week -- 2.3.3 Variable-Time-Scale Data Reconstruction -- 2.3.4 Data Output -- 2.4 Optimal Configuration Model for Port's Renewable Energies and Energy Storages -- 2.4.1 Objective Function -- 2.4.2 Constraints -- 2.5 Case Studies -- 2.5.1 Case Description -- 2.5.2 Analysis of Typical Scenario Results -- 2.5.3 Analysis of Optimization Configuration Results of Renewable Energy and Energy Storage -- 2.5.4 Calculation Time Analysis -- 2.6 Conclusion -- Appendix 1 -- Appendix 2 -- References -- 3 Adaptive Bidirectional Droop Control Strategy for Hybrid AC-DC Port Microgrids -- 3.1 Introduction…”

Tabla de Contenidos: “…7.6 Nanoparticle-Mediated Non-Viral Gene Delivery in Plants -- 7.7 Conclusions -- Acknowledgments -- References -- Chapter 8 A Clean Nano-Era: Green Synthesis and Its Progressive Applications -- 8.1 Introduction -- 8.2 Green Synthetic Approaches -- 8.2.1 Microorganism-Induced Synthesis of Nanoparticles -- 8.2.2 Biosynthesis of Nanoparticles Using Bacteria -- 8.2.3 Biosynthesis of Nanoparticles Using Fungi -- 8.2.4 Biosynthesis of Nanoparticles Using Actinomycetes -- 8.2.5 Biosynthesis of Nanoparticles Using Algae -- 8.2.6 Plant Extracts for Biosynthesis of Nanoparticles -- 8.3 Nanoparticles Obtained Using Green Synthetic Approaches and Their Applications -- 8.3.1 Synthesis of Silver (Ag) and Gold (Au) -- 8.3.2 Synthesis of Palladium (Pd) Nanoparticles -- 8.3.3 Synthesis of Copper (Cu) Nanoparticles -- 8.3.4 Synthesis of Silver Oxide (Ag2O) Nanoparticles -- 8.3.5 Synthesis of Titanium Dioxide (TiO2) Nanoparticles -- 8.3.6 Synthesis of Zinc Oxide (ZnO) Nanoparticles -- 8.3.7 Synthesis of Iron Oxide Nanoparticles -- 8.4 Conclusion -- References -- Chapter 9 A Decade of Biomimetic and Bioinspired Nanostructures: Innovation Upheaval and Implementation -- 9.1 Introduction -- 9.2 Bioinspired Nanostructures -- 9.2.1 Materials Inspired by Structural Properties of Natural Organism -- 9.3 Biomimetic Structures -- 9.4 Biomimetic Synthesis Processes and Products -- 9.5 Application of Bioinspired and Biomimetic Structure -- 9.6 Conclusion -- 9.7 Future Outlook -- Acknowledgments -- References -- Chapter 10 A Feasibility Study of the Bioinspired Green Manufacturing of Nanocomposite Materials -- 10.1 Introduction -- 10.2 Biopolymers -- 10.2.1 Cellulose -- 10.2.2 Chitosan -- 10.2.3 Starch -- 10.2.4 Chitin -- 10.2.5 Polyhydroxyalkanoates (PHA) -- 10.2.6 Polylactic Acid (PLA) -- 10.3 Different Types of Bioinspired Nanocomposites…”