“…Questions such as how the pathogen causes disease, colonizes the tick and evades host immune-surveillance have been difficult to address. Genetic studies involving single gene deletions have identified a number of important bacterial proteins, but a large-scale genomics approach to identify virulence factors has not been attempted until recently. …”

“…Spinal muscular atrophy (SMA) is a severe neuromuscular disease and is the leading genetic cause of infant death. It is characterized by the degeneration of alpha motor neurons in the anterior horn of the spinal cord, leading to progressive muscle weakness. …”

“…Après Introduction à Jean Piaget (1997) qui permettait de se familiariser avec les principaux concepts piagétiens et Inventer, compter et classer (2005) qui éclairait deux grands ouvrages piagétiens : La genèse du nombre et La genèse des structures logiques élémentaires, Annie Chalon-Blanc propose avec Piaget - Constructivisme-Intelligence - un troisième manuel qui est un pari sur l'avenir de la théorie de Jean Piaget. …”

“…It has 14 sessions addressing the most relevant and current topics in the field of biological control of arthropods: (i) Accidental introductions of biocontrol agents: positive and negative aspects; (ii) The importance of pre and post release genetics in biological control; (iii) How well do we understand non-target impacts in arthropod biological control; (iv) Regulation and access and benefit sharing policies relevant for classical biological control approaches; (v) The role of native and alien natural enemy diversity in biological control; (vi) Frontiers in forest insect control; (vii) Biocontrol marketplace I; (viii) Weed and arthropod biological control: mutual benefits and challenges; (ix) Maximizing opportunities for biological control in Asia's rapidly changing agro-environments; (x) Biological control based integrated pest management: does it work?…”

Tabla de Contenidos: “…-- 3.5 Other lateral influences between biology and linguistics -- 3.6 Creoles, stable features and their substrates and lexifiers -- 3.7 Creoles and genetic affiliation: Stammbaum, convergence, contact -- 3.8 A cognitive account of creole genesis -- 3.9 Conclusions -- References -- Chapter 4. …”

Tabla de Contenidos: “…Aspects particuliers -- 2.1 Coopération bilatérale avec l'Espagne -- 2.2 Problèmes régionaux : pollution atmosphérique transfrontière -- Tableau 9.6 Le Portugal et la Convention de Genève sur la pollution atmosphérique transfrontière... -- Annexes -- Annexe I.A Données sur l'environnement -- Annexe I.B Données économiques -- Annexe I.C Données sociales -- Annexe II.A Liste d'accords multilatéraux (mondiaux) -- Annexe II.B Liste d'accords multilatéraux (régionaux) -- Annexe III. …”

Tabla de Contenidos: “…-- 8.1.2 System-Level Properties -- 8.1.3 Coordination Mechanisms -- 8.2 An Agent-Based Approach to Self-Organized Production -- 8.2.1 Ingredients Model -- 8.3 Organic Computing and Swarm Intelligence -- 8.3.1 Organic Computing Systems -- 8.4 Swarm Intelligence Techniques for Cloud Services -- 8.4.1 Context -- 8.4.2 Model Formulation -- 8.4.3 Decision Variable -- 8.4.4 Objective Functions -- 8.4.5 Solution Evaluation -- 8.4.6 Genetic Algorithm (GA) -- 8.4.7 Particle Swarm Optimization (PSO) -- 8.4.8 Harmony Search (HS)…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 AI in Mechatronics -- 1.1 Introduction to AI Techniques for Mechatronics -- 1.1.1 Overview of Key AI Approaches -- 1.1.2 Benefits of Integrating AI in Mechatronic Systems -- 1.2 Machine Learning for Mechatronic Systems -- 1.2.1 Supervised, Unsupervised, and Reinforcement Learning Techniques -- 1.2.2 Applications in Control, Prediction, Optimization, and Diagnostics -- 1.2.3 Case Studies of Machine Learning in Robotics, Vehicles, and Automation -- 1.3 Computer Vision for Mechatronic Perception -- 1.3.1 Image Processing and Computer Vision Techniques -- 1.3.2 Enabling Environmental Perception and Scene Understanding -- 1.3.3 Vision-Based Control, Inspection, and Monitoring -- 1.4 Soft Computing Techniques -- 1.4.1 Fuzzy Logic Systems for Knowledge Representation and Control -- 1.4.2 Bio-Inspired Algorithms Like Neural Networks and Genetic Algorithms -- 1.4.3 Hybrid Intelligent Systems -- 1.5 AI Planning and Decision-Making -- 1.5.1 Automated Planning Algorithms for Sequencing Actions -- 1.5.2 Decision-Making Under Uncertainty -- 1.5.3 Applications in Navigation, Manufacturing Automation, Etc. -- 1.6 Natural Language Interaction -- 1.6.1 Speech Recognition and Natural Language Processing -- 1.6.2 Enabling Intuitive Human-Machine Interaction -- 1.6.3 Use Cases in Service Robots, Intelligent Agents, Human-Robot Collaboration -- 1.7 AI in Mechatronic System Design -- 1.7.1 Simulation of AI-Based Controllers and Behaviors -- 1.7.2 Tools for Virtual Prototyping of Intelligent Mechatronics -- 1.7.3 AI-Driven Design Optimization -- 1.8 Challenges and Future Outlook -- 1.8.1 Current Limitations in Applying AI to Mechatronics -- 1.8.2 Safety, Security, and Robustness Considerations -- 1.8.3 Emerging Trends and Opportunities -- 1.9 Artificial General Intelligence (AGI)…”

Tabla de Contenidos: “…Absolute Quantification -- 5.8 Mass Spectrometry - Lipidomics and Metabolomics -- 5.9 Mass Spectrometry - Drug Discovery -- 5.10 Conclusion and Future Scope -- 5.11 Resources and Software -- Acknowledgement -- References -- Chapter 6 Applications of Bioinformatics Tools in Medicinal Biology and Biotechnology -- 6.1 Introduction -- 6.2 Bioinformatics Tools -- 6.3 The Genetic Basis of Diseases -- 6.4 Proteomics -- 6.5 Transcriptomic -- 6.6 Cancer -- 6.7 Diagnosis -- 6.8 Drug Discovery and Testing -- 6.9 Molecular Medicines -- 6.10 Personalized (Precision) Medicines -- 6.11 Vaccine Development and Drug Discovery in Infectious Diseases and COVID-19 Pandemic -- 6.12 Prognosis of Ailments -- 6.13 Concluding Remarks and Future Prospects -- Acknowledgement -- References -- Chapter 7 Clinical Applications of "Omics" Technology as a Bioinformatic Tool -- Abbreviations -- 7.1 Introduction -- 7.2 Execution Method -- 7.3 Overview of Omics Technology -- 7.4 Genomics -- 7.5 Nutrigenomics -- 7.6 Transcriptomics…”

Tabla de Contenidos: “…5.5 Security Standards and Protocols -- 5.5.1 ISO/IEC 27001 -- 5.5.2 NIST SP 800-53 -- 5.5.3 SOC 2 -- 5.5.4 PCI DSS -- 5.5.5 IEC 62443 -- 5.5.6 OWASP -- 5.5.7 Control Objectives for Information and Related Technologies (COBIT) -- 5.6 Network Security -- 5.7 Access Control -- 5.7.1 Role-based Access Control (RBAC) -- 5.7.2 Discretionary Access Control (DAC) -- 5.7.3 Mandatory Access Control (MAC) -- 5.8 Authentication and Authorization -- 5.9 Privacy Concerns -- 5.10 Case Studies -- 5.10.1 Equifax Data Breach -- 5.10.2 Target Data Breach -- 5.10.3 WannaCry Ransomware Attack -- 5.11 Conclusion -- 5.12 Future Scope -- References -- 6 Efficient-driven Approaches Related to Meta-Heuristic Algorithms using Machine Learning Techniques -- 6.1 Introduction -- 6.2 Stochastic Optimization -- 6.2.1 Genetic Algorithm -- 6.2.2 Particle Swarm Optimization -- 6.3 Heuristic Search -- 6.3.1 Heuristic Search Techniques -- 6.4 Meta-Heuristic -- 6.4.1 Structures of Meta-Heuristic -- 6.5 Machine Learning -- 6.5.1 Applications of Meta-Heuristic -- References -- 7 Security and Privacy Issues in Distributed Healthcare Systems - A Survey -- 7.1 Introduction -- 7.1.1 Traditional Systems -- 7.1.2 Distributed Systems -- 7.2 Previous Study -- 7.2.1 Background and Definitions -- 7.3 Security and Privacy Needs -- 7.4 Security and Privacy Goals -- 7.5 Type of Attacks in Distributed Systems -- 7.5.1 Malicious Hardware -- 7.5.2 Malicious Programs -- 7.6 Recommendations and Future Approaches -- 7.7 Conclusion -- References -- 8 Implementation and Analysis of the Proposed Model in a Distributed e-Healthcare System -- 8.1 Introduction -- 8.2 Outmoded Systems -- 8.3 Distributed Systems -- 8.3.1 Peer-to-Peer Architecture -- 8.4 Previous Work -- 8.5 Service-Oriented Architecture of e-Healthcare -- 8.6 Implementation of the Proposed Model -- 8.6.1 Speech Software…”

Tabla de Contenidos: “…Direct versus indirect genetic influences on culture -- 3.2. Cultural differences in color perception -- 3.3. …”

Tabla de Contenidos: “…12.2.2.1 Cinema video player plugin -- 12.2.2.2 Virtual reality-based teaching material -- 12.2.2.2.1 Equipment used -- 12.2.2.2.2 Preparing the learning environment -- 12.2.2.2.3 Adaptation to virtual reality -- 12.2.3 Intervention procedure -- 12.2.4 Limitations -- 12.2.5 Validity -- 12.2.5.1 Experimental control/internal validity -- 12.2.5.2 Inter-rater agreement -- 12.2.5.3 Fidelity -- 12.2.5.4 Social validity -- 12.3 Results -- 12.4 Conclusion -- References -- 13 BERT-IDS: an intrusion detection system based on bidirectional encoder representations from transformers -- 13.1 Introduction -- 13.2 Review of related works -- 13.3 Dataset -- 13.4 Method -- 13.5 Results and analysis -- 13.6 Conclusion -- References -- 14 Internet of Things and the electrocardiogram using artificial intelligence-a survey -- 14.1 Introduction -- 14.2 Literature study on electrocardiogram -- 14.2.1 What is electrocardiogram -- 14.2.2 Diseases the electrocardiogram detects -- 14.3 Electrocardiogram signal -- 14.4 Review of technique used in electrocardiogram -- 14.4.1 Genetic algorithm-back propagation neural network -- 14.4.2 Back propagation neural network -- 14.4.3 Artificial neural network -- 14.5 Conclusion -- References -- 15 Evaluation of artificial intelligence in education and its applications according to the opinions of school administrators -- 15.1 Introduction -- 15.2 Method -- 15.2.1 Model of the research -- 15.2.2 Data collection tool -- 15.2.3 Working group -- 15.2.4 Data collection -- 15.2.5 Analysis of data -- 15.3 Findings and comments -- 15.4 Conclusion and recommendations -- References -- 16 Evaluation of tourism developments with artificial intelligence according to the opinions of tourism hotel managers -- 16.1 Introduction -- 16.2 Artificial intelligence in tourism -- 16.3 Use of artificial intelligence in hotels -- 16.4 Methodology…”

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: “…12.6 Conclusion -- References -- Chapter 13 Case Study on Fuzzy Logic: Fuzzy Logic-Based PID Controller to Tune the DC Motor Speed -- 13.1 Introduction -- 13.1.1 DC Motor -- 13.1.2 DC Motor Speed Control Methods -- 13.1.2.1 PID Controller -- 13.1.2.2 Fuzzy-Based PID Controller -- 13.1.2.3 Micro Controller-Based PID Controller -- 13.1.2.4 Genetic Algorithm-Based PID Controller -- 13.2 Literature Review -- 13.2.1 Common Findings -- 13.2.2 Comparative Analysis of Research Works Reviewed -- 13.2.3 Strengths in the Literature Reviewed -- 13.2.4 Weaknesses in the Literature Reviewed -- 13.2.5 Findings in the Literature Reviewed -- 13.3 Design of Fuzzy-Based PID Controller -- 13.3.1 Fuzzy Controller -- 13.3.2 Flowchart for Fuzzy Controller -- 13.3.3 Fuzzy Logic Controller Membership Function and FAM Table -- 13.3.4 Rules for the Fuzzy Controller -- 13.3.5 Simulation Diagram of FLC -- 13.3.6 Fuzzy-Based PID Controller -- 13.3.6.1 Fuzzy Block Design -- 13.3.6.2 Flowchart for Fuzzy-PID Controller -- 13.3.6.3 Simulation Diagram of Fuzzy-PID Controller -- 13.4 Experimental Work and Results Analysis -- 13.5 Conclusion and Future Scope -- References -- Chapter 14 Application of Intuitionistic Fuzzy Network Using Efficient Domination -- 14.1 Introduction -- 14.2 Efficient Domination in Intuitionistic Fuzzy Graph (IFG) -- 14.3 Main Frame Work -- 14.3.1 Construction of IFN from Sub IFN -- 14.4 Secret Key -- 14.4.1 Encryption Algorithm -- 14.4.2 Decryption Algorithm -- 14.5 Illustration -- 14.5.1 Construction of IFN from Sub IFN -- 14.5.2 Secret Key -- 14.5.3 Encryption Algorithm -- 14.5.4 Decryption Algorithm -- 14.6 Conclusion -- References -- Chapter 15 Analysis of Parameters Related to Malaria with Comparative Study on Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps -- 15.1 Introduction -- 15.2 Parameters of Malaria -- 15.3 Fuzzy Cognitive Map…”

Tabla de Contenidos: “…9.5 Gut Microbiota as Therapeutic Strategies for Cardiovascular Disease -- 9.5.1 Probiotics -- 9.5.2 Fecal Microbiota Transplantation -- References -- 10 Gut Microbiota and Inflammatory Bowel Diseases -- 10.1 Introduction -- 10.2 Intestinal Microbiome in IBD Patients -- 10.2.1 Dysbiosis in IBD -- 10.2.2 Genetic Factors of the Host Affecting the Pathogenesis of IBD -- 10.2.3 Environmental Factors in the Disruption of Gut Microbiota and Development of IBD -- 10.3 Interventions for the Treatment of IBD -- 10.3.1 Microbiome-modulating Approach in the Treatment of IBD -- 10.4 Conclusion -- References -- 11 Gut Microbiota and Diabetes -- 11.1 Introduction -- 11.2 Gut Microbiota -- 11.3 Role of Gut Microbiota in Diabetes -- 11.4 Alteration in Gut Microbiota Composition in T1 and T2 Diabetes -- 11.4.1 T1D -- 11.4.2 Type 2 Diabetes -- 11.5 Diabetic Complications -- 11.5.1 Diabetic Retinopathy -- 11.5.2 Diabetic Nephropathy -- 11.5.3 Diabetic Neuropathy -- 11.6 Therapeutic Approaches -- 11.7 Conclusion -- References -- 12 Novel Therapeutic Strategies Targeting Gut Microbiota to Treat Diseases -- 12.1 Introduction -- 12.2 Changes in the Composition of the Gut Microbiota in Patients with T1D -- 12.3 The Potential Role of the Gut Microbiota in the Development of T1D -- 12.4 Changes in the Composition of the Gut Microbiota in Patients with T2D -- 12.5 The Potential Role of the Gut Microbiota in the Development of T2D -- 12.7 Preventive and Therapeutic Perspectives Including the Gut Microbiota -- References -- 13 Understanding the Role of Microbiota in Cancer -- 13.1 Introduction -- 13.2 Role of Microbiota in Cancers -- 13.2.1 Gastric Cancer -- 13.2.2 Colorectal Cancer -- 13.2.3 Liver Cancer -- 13.2.4 Pancreatic Cancer -- 13.3 Mechanism in which Microbiota Kill Cancer Cells -- 13.4 Microbiota that Promote Health Post Cancer Treatment -- 13.5 Conclusion…”

“…This review emphasizes the pathologic features of psoriatic lesions, recent genetic studies of psoriasis, and immunologic factors in the disease. …”

“…It also provides elements of genetics, research on genetically engineered salmon and resources for its risk assessment…”

“…Therefore, chemical or genetic manipulation of PA levels have practical applications in improving stress tolerance. …”

“…Studies are presented from researchers around the world, looking at aspects as wide-ranging as the genetics, wheelchair, and robotics behind the conditions to new and innovative therapeutic approaches…”

“…This award-winning book provides an analysis of the genetic/evolutionary, cultural/historical, and developmental aspects of prejudice and discrimination. …”