Tabla de Contenidos: “…3.3 The Optimal Investment Estimate for Companies -- 4 Conclusions -- References -- Reaching Sustainability in Healthcare: Strategies for a Healthy Indoor Air Quality in Healing Environments -- Abstract -- 1 The Indoor Air Quality -- 1.1 Health Promotion in Confined Spaces -- 1.2 The Environmental Quality of Healthcare Settings -- 2 Risks Correlated to Healing Spaces -- 2.1 Health Promotion in Confined Spaces -- 2.2 Factors that Affect the IAQ in the Environmental Units -- 2.3 How to Assess the Chemical Pollution in Healing Spaces -- 3 The Handbook of Best Practices for Inpatient Room -- 3.1 Localization of the Hospital and Inpatient Room -- 3.2 Design of the Hospital Room -- 3.3 Microclimatic Parameters -- 3.4 Ventilation Systems -- 3.5 Construction and Finishing Materials -- 3.6 Furniture and Equipment -- 3.7 Cleaning Products and Procedures -- 3.8 Maintenance Activities -- 3.9 Management Activities -- 3.10 Users and Workers' Behaviour -- 4 Conclusions -- References -- Built Environment and Alzheimer. Quality Evaluation of Territorial Structures for Patients with Dementia -- Abstract -- 1 Introduction and Research Purpose -- 1.1 Methodology -- 1.2 Case Study Analysis -- 1.3 Evaluation Tools Analysis -- 2 The Assessment Tool -- 2.1 Tool Definition and Validation -- 2.2 Application and Test on Italian Case Studies -- 2.3 Preliminary Results -- 3 Conclusions and Future Developments -- Acknowledgements -- References -- Transforming the Built Environment Through Healthy-Design Strategies -- Abstract -- 1 Theoretical Scenario -- 1.1 State of the Art -- 1.2 Research Opportunities -- 2 Methodological Framework -- 2.1 Intelligence Phase -- 2.2 Design Phase -- 2.3 Choice Phase -- 3 Evaluating the Built Environment -- 3.1 Sustainability and Hygiene of the Built Environment -- 4 Conclusions -- Acknowledgments -- References…”

Tabla de Contenidos: “…Section 1: Foundation Issues -- Chapter e1: Health Literacy and Medication Use -- Chapter e2: Cultural Competency -- Chapter e3: Medication Safety Principles and Practices -- Chapter e4: Clinical Pharmacokinetics and Pharmacodynamics -- Chapter e5: Pharmacogenetics -- Chapter e6: Pediatrics -- Chapter e7: Geriatrics -- Chapter e8: Palliative Care -- Chapter e9: Clinical Toxicology -- Chapter e10: Clinical Management of Potential Bioterrorism-related Conditions -- Section 2: Cardiovascular Disorders -- Chapter e11: Cardiovascular Testing -- Chapter 12: Cardiac Arrest -- Chapter 13: Hypertension -- Chapter 14: Chronic Heart Failure -- Chapter 15: Acute Decompensated Heart Failure -- Chapter 16: Stable Ischemic Heart Disease -- Chapter 17: Acute Coronary Syndromes -- Chapter 18: The Arrhythmias -- Chapter 19: Venous Thromboembolism -- Chapter 20: Stroke -- Chapter 21: Dyslipidemia -- Chapter e22: Peripheral Arterial Disease -- Chapter 23: Use of Vasopressors and Inotropes in the Pharmacotherapy of Shock -- Chapter 24: Hypovolemic Shock -- Chapter e25: Introduction to Pulmonary Function Testing -- Section 3: Respiratory Disorders -- Chapter 26: Asthma -- Chapter 27: Chronic Obstructive Pulmonary Disease -- Chapter 28: Pulmonary Arterial Hypertension -- Chapter 29: Cystic Fibrosis -- Chapter e30: Drug-Induced Pulmonary Diseases -- Section 4: Gastrointestinal Disorders -- Chapter e31: Evaluation of the Gastrointestinal Tract -- Chapter 32: Gastroesophageal Reflux Disease -- Chapter 33: Peptic Ulcer Disease and Related Disorders -- Chapter 34: Inflammatory Bowel Disease -- Chapter 35: Nausea and Vomiting -- Chapter 36: Diarrhea, Constipation, and Irritable Bowel Syndrome -- Chapter 37: Portal Hypertension and Cirrhosis -- Chapter e38: Drug-Induced Liver Disease -- Chapter 39: Pancreatitis -- Chapter 40: Viral Hepatitis -- Chapter 41: Celiac Disease -- Section 5: Renal Disorders -- Chapter e42: Evaluation of Kidney Function -- Chapter 43: Acute Kidney Injury -- Chapter 44: Chronic Kidney Disease -- Chapter 45: Hemodialysis and Peritoneal Dialysis -- Chapter 46: Drug-Induced Kidney Disease -- Chapter 47: Glomerulonephritis -- Chapter 48: Drug Therapy Individualization for Patients with Chronic Kidney Disease -- Chapter 49: Disorders of Sodium and Water Homeostasis -- Chapter 50: Disorders of Calcium and Phosphorus Homeostasis -- Chapter 51: Disorders of Potassium and Magnesium Homeostasis -- Chapter 52: Acid-Base Disorders -- Section 6: Neurologic Disorders -- Chapter e53: Evaluation of Neurologic Illness -- Chapter 54: Alzheimer Disease -- Chapter 55: Multiple Sclerosis -- Chapter 56: Epilepsy -- Chapter 57: Status Epilepticus -- Chapter 58: Acute Management of the Brain Injury Patient -- Chapter 59: Parkinson Disease -- Chapter 60: Pain Management -- Chapter 61: Headache Disorders -- Section 7: Psychiatric Disorders -- Chapter e62: Assessment of Psychiatric Disorders -- Chapter 63: Attention Deficit/Hyperactivity Disorder -- Chapter 64: Eating Disorders -- Chapter 65: Substance-Related Disorders I: Overview and Depressants, Stimulants, and Hallucinogens -- Chapter 66: Substance-Related Disorders II: Alcohol, Nicotine, and Caffeine -- Chapter 67: Schizophrenia -- Chapter 68: Major Depressive Disorder -- Chapter 69: Bipolar Disorder -- Chapter 70: Anxiety Disorders: Generalized Anxiety, Panic, and Social Anxiety Disorders.5050 Chapter 71: Posttraumatic Stress Disorder and Obsessive-Compulsive Disorder -- Chapter 72: Sleep-Wake Disorders -- Chapter 73: Disorders Associated with Intellectual Disabilities -- Section 8: Endocrinologic Disorders -- Chapter 74: Diabetes Mellitus -- Chapter 75: Thyroid Disorders -- Chapter 76: Adrenal Gland Disorders -- Chapter e77: Pituitary Gland Disorders -- Section 9: Gynecologic and Obstetric Disorders -- Chapter 78: Pregnancy and Lactation: Therapeutic Considerations -- Chapter 79: Contraception -- Chapter 80: Menstruation-Related Disorders -- Chapter 81: Endometriosis -- Chapter 82: Hormone Therapy in Women -- Section 10: Urologic Disorders -- Chapter 83: Erectile Dysfunction -- Chapter 84: Benign Prostatic Hyperplasia -- Chapter 85: Urinary Incontinence -- Section 11: Immunologic Disorders -- Chapter e86: Function and Evaluation of the Immune System -- Chapter 87: Systemic Lupus Erythematosus -- Chapter e88: Drug Allergy -- Chapter 89: Solid-Organ Transplantation -- Section 12: Rheumatologic Disorders -- Chapter 90: Osteoarthritis -- Chapter 91: Rheumatoid Arthritis -- Chapter 92: Osteoporosis and Osteomalacia -- Chapter 93: Gout and Hyperuricemia -- Section 13: Ophthalmic and Otolaryngological Disorders -- Chapter 94: Glaucoma -- Chapter 95: Allergic Rhinitis -- Section 14: Dermatologic Disorders -- Chapter 96: Acne Vulgaris -- Chapter 97: Psoriasis -- Chapter 98: Atopic Dermatitis -- Chapter e99: Dermatologic Drug Reactions and Common Skin Conditions -- Section 15: Hematologic Disorders -- Chapter 100: Anemias -- Chapter 101: Coagulation Disorders -- Chapter 102: Sickle Cell Disease -- Chapter e103: Drug-Induced Hematologic Disorders -- Section 16: Infectious Diseases -- Chapter e104: Laboratory Tests to Direct Antimicrobial Pharmacotherapy -- Chapter 105: Antimicrobial Regimen Selection -- Chapter 106: Central Nervous System Infections -- Chapter 107: Lower Respiratory Tract Infections -- Chapter 108: Upper Respiratory Tract Infections -- Chapter 109: Influenza -- Chapter 110: Skin and Soft-Tissue Infections -- Chapter 111: Infective Endocarditis -- Chapter 112: Tuberculosis -- Chapter 113: Gastrointestinal Infections and Enterotoxigenic Poisonings -- Chapter 114: Intra-Abdominal Infections -- Chapter 116: Urinary Tract Infections and Prostatitis -- Chapter e115: Parasitic Diseases -- Chapter 117: Sexually Transmitted Diseases -- Chapter 118: Bone and Joint Infections -- Chapter 119: Sepsis and Septic Shock -- Chapter 120: Superficial Fungal Infections -- Chapter 121: Invasive Fungal Infections -- Chapter 122: Infections in Immunocompromised Patients -- Chapter 123: Antimicrobial Prophylaxis in Surgery -- Chapter e124: Travel Health -- Chapter 125: Vaccines and Immunoglobulins -- Chapter 126: Human Immunodeficiency Virus Infection -- Section 17: Oncologic Disorders -- Chapter 127: Cancer Treatment and Chemotherapy -- Chapter 128: Breast Cancer -- Chapter 129: Lung Cancer -- Chapter 130: Colorectal Cancer -- Chapter 131: Prostate Cancer -- Chapter 132: Lymphomas -- Chapter 133: Ovarian Cancer -- Chapter 134: Acute Leukemias -- Chapter 135: Chronic Leukemias -- Chapter 136: Multiple Myeloma -- Chapter e137: Myelodysplastic Syndromes -- Chapter e138: Renal Cell Carcinoma -- Chapter 139: Melanoma -- Chapter 140: Hematopoietic Stem Cell Transplantation -- Section 18: Nutritional Disorders -- Chapter 141: Assessment of Nutrition Status and Nutrition Requirements -- Chapter 142: Parenteral Nutrition -- Chapter 143: Enteral Nutrition -- Chapter 144: Obesity…”

Tabla de Contenidos: “…Demencia -- Capítulo 112 Consideraciones generales -- Capítulo 113 Enfermedad de Alzheimer -- Capítulo 114 Demencia frontotemporal -- Capítulo 115 Demencias con cuerpos de Lewy -- Sección XIV. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part I: Demystifying Smart Healthcare -- Chapter 1 Deep Learning Techniques Using Transfer Learning for Classification of Alzheimer's Disease -- 1.1 Introduction -- 1.2 Transfer Learning Techniques -- 1.3 AD Classification Using Conventional Training Methods -- 1.4 AD Classification Using Transfer Learning -- 1.5 Conclusion -- References -- Chapter 2 Medical Image Analysis of Lung Cancer CT Scans Using Deep Learning with Swarm Optimization Techniques -- 2.1 Introduction -- 2.2 The Major Contributions of the Proposed Model -- 2.3 Related Works -- 2.4 Problem Statement -- 2.5 Proposed Model -- 2.5.1 Swarm Optimization in Lung Cancer Medical Image Analysis -- 2.5.2 Deep Learning with PSO -- 2.5.3 Proposed CNN Architectures -- 2.6 Dataset Description -- 2.7 Results and Discussions -- 2.7.1 Parameters for Performance Evaluation -- 2.8 Conclusion -- References -- Chapter 3 Liver Cancer Classification With Using Gray-Level Co-Occurrence Matrix Using Deep Learning Techniques -- 3.1 Introduction -- 3.1.1 Liver Roles in Human Body -- 3.1.2 Liver Diseases -- 3.1.3 Types of Liver Tumors -- 3.1.3.1 Benign Tumors -- 3.1.3.2 Malignant Tumors -- 3.1.4 Characteristics of a Medical Imaging Procedure -- 3.1.5 Problems Related to Liver Cancer Classification -- 3.1.6 Purpose of the Systematic Study -- 3.2 Related Works -- 3.3 Proposed Methodology -- 3.3.1 Gaussian Mixture Model -- 3.3.2 Dataset Description -- 3.3.3 Performance Metrics -- 3.3.3.1 Accuracy Measures -- 3.3.3.2 Key Findings -- 3.3.3.3 Key Issues Addressed -- 3.4 Conclusion -- References -- Chapter 4 Transforming the Technologies for Resilient and Digital Future During COVID-19 Pandemic -- 4.1 Introduction -- 4.2 Digital Technologies Used -- 4.2.1 Artificial Intelligence -- 4.2.2 Internet of Things -- 4.2.3 Telehealth/Telemedicine…”

Tabla de Contenidos: “…6.7.1 Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) -- 6.7.2 Fronto-Temporal Dementia (FTD) -- 6.7.3 Multiple Sclerosis (MS) -- 6.7.4 Amyotrophic Lateral Sclerosis (ALS) and Depression -- 6.7.5 Bipolar -- 6.7.6 Schizophrenia -- 6.7.7 Attention Deficit Hyperactivity Disorder (ADHD) -- 6.7.8 Multiple System Atrophy (MSA) -- 6.7.9 Epilepsy/Seizures -- 6.7.10 Pediatric Applications -- 6.8 Resting-State Functional Imaging of Neonatal Brain Image -- 6.9 Different Groups in Brain Disease -- 6.10 Learning Algorithms for Analyzing rsfMRI -- 6.11 Conclusion and Future Directions -- References -- Chapter 7 Early Prediction of Epileptic Seizure Using Deep Learning Algorithm -- 7.1 Introduction -- 7.2 Methodology -- 7.3 Experimental Results -- 7.4 Taking Care of Children with Seizure Disorders -- 7.5 Ketogenic Diet -- 7.6 Vagus Nerve Stimulation (VNS) -- 7.7 Brain Surgeries -- 7.8 Conclusion -- References -- Chapter 8 Brain-Computer Interface-Based Real-Time Movement of Upper Limb Prostheses Topic: Improving the Quality of the Elderly with Brain-Computer Interface -- 8.1 Introduction -- 8.1.1 Motor Imagery Signal Decoding -- 8.2 Literature Survey -- 8.3 Methodology of Proposed Work -- 8.3.1 Proposed Control Scheme -- 8.3.2 One Versus All Adaptive Neural Type-2 Fuzzy Inference System (OVAANT2FIS) -- 8.3.3 Position Control of Robot Arm Using Hybrid BCI for Rehabilitation Purpose -- 8.3.4 Jaco Robot Arm -- 8.3.5 Scheme 1: Random Order Positional Control -- 8.4 Experiments and Data Processing -- 8.4.1 Feature Extraction -- 8.4.2 Performance Analysis of the Detectors -- 8.4.3 Performance of the Real Time Robot Arm Controllers -- 8.5 Discussion -- 8.6 Conclusion and Future Research Directions -- References -- Chapter 9 Brain-Computer Interface-Assisted Automated Wheelchair Control Management-Cerebro: A BCI Application -- 9.1 Introduction…”

Tabla de Contenidos: “…-- Part 3: Stories and top tips -- We do not remember accurately -- A memory of 10 seconds and still a brilliant musician -- How does Alzheimer's Disease affect long-term memory? -- Does time of day affect our memory? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part I: Medical Applications -- Chapter 1 Predictive Models of Alzheimer's Disease Using Machine Learning Algorithms - An Analysis -- 1.1 Introduction -- 1.2 Prediction of Diseases Using Machine Learning -- 1.3 Materials and Methods -- 1.4 Methods -- 1.5 ML Algorithm and Their Results -- 1.6 Support Vector Machine (SVM) -- 1.7 Logistic Regression -- 1.8 K Nearest Neighbor Algorithm (KNN) -- 1.9 Naive Bayes -- 1.10 Finding the Best Algorithm Using Experimenter Application -- 1.11 Conclusion -- 1.12 Future Scope -- References -- Chapter 2 Bounding Box Region-Based Segmentation of COVID-19 X-Ray Images by Thresholding and Clustering -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Used -- 2.4 Proposed Method -- 2.4.1 Histogram Equalization -- 2.4.2 Threshold-Based Segmentation -- 2.4.3 K-Means Clustering -- 2.4.4 Fuzzy-K-Means Clustering -- 2.5 Experimental Analysis -- 2.5.1 Results of Histogram Equalization -- 2.5.2 Findings of Bounding Box Segmentation -- 2.5.3 Evaluation Metrics -- 2.6 Conclusion -- References -- Chapter 3 Steering Angle Prediction for Autonomous Vehicles Using Deep Learning Model with Optimized Hyperparameters -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Methodology -- 3.3.1 Architecture -- 3.3.2 Data -- 3.3.3 Data Pre-Processing -- 3.3.4 Hyperparameter Optimization -- 3.3.5 Neural Network -- 3.3.6 Training -- 3.4 Experiment and Results -- 3.4.1 Benchmark -- 3.5 Conclusion -- References -- Chapter 4 Review of Classification and Feature Selection Methods for Genome-Wide Association SNP for Breast Cancer -- 4.1 Introduction -- 4.2 Literature Analysis -- 4.2.1 Review of Gene Selection Methods in SNP -- 4.2.2 Review of Classification Methods in SNP -- 4.2.3 Review of Deep Learning Classification Methods in SNP -- 4.3 Comparison Analysis…”

“…Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. …”

Tabla de Contenidos: “…14.2.1.4 Predicting Diabetes -- 14.2.1.5 Predicting Alzheimer's -- 14.2.2 Drug Development and Discovery -- 14.2.3 Clinical Decision Support (CDS) -- 14.2.4 Medical Image Examination -- 14.2.5 Monitoring of Health and Wearable Technology -- 14.2.6 Telemedicine and Remote Patient Monitoring -- 14.2.7 Chatbots and Virtual Medical Assistants -- 14.3 Why Machine Learning is Crucial in Healthcare -- 14.4 Challenges and Opportunities -- 14.5 Conclusion -- References -- Chapter 15 Enhancing Resource Management in Precision Farming through AI-Based Irrigation Optimization -- 15.1 Introduction to Precision Farming -- 15.1.1 Definition of Precision Farming -- 15.1.2 Importance of Precision Farming in Agriculture -- 15.2 Role of Artificial Intelligence (AI) in Precision Farming -- 15.2.1 Influence of AI in Precision Farming -- 15.2.2 Challenges and Limitations of AI in Precision Farming -- 15.3 Data Collection and Sensing for Precision Farming -- 15.3.1 Remote Sensing Techniques -- 15.3.2 Satellite Imagery Analysis -- 15.3.3 Unmanned Aerial Vehicles (UAVs) for Data Collection -- 15.3.4 Internet of Things (IoT) Sensors -- 15.3.5 Data Preprocessing and Integration -- 15.4 Crop Monitoring and Management -- 15.4.1 Crop Yield Prediction -- 15.4.2 Disease Detection and Diagnosis -- 15.4.3 Nutrient Management and Fertilizer Optimization -- 15.5 Precision Planting and Seeding -- 15.5.1 Variable Rate Planting -- 15.5.2 GPS and Auto-Steering Systems -- 15.5.3 Seed Singulation and Metering -- 15.5.4 Plant Health Monitoring and Care -- 15.6 Harvesting and Yield Estimation -- 15.6.1 Yield Estimation Models -- 15.6.2 Real-Time Crop Monitoring During Harvest -- 15.7 Data Analytics and Machine Learning -- 15.7.1 Predictive Analytics for Crop Yield -- 15.7.2 Machine Learning Algorithms for Precision Farming -- 15.7.3 Big Data Analytics in Precision Farming…”

Tabla de Contenidos: “…The Macromolecules of the Cell -- 3.1 Proteins -- The Monomers Are Amino Acids -- The Polymers Are Polypeptides and Proteins -- Several Kinds of Bonds and Interactions Are Important in Protein Folding and Stability -- Protein Structure Depends on Amino Acid Sequence and Interactions -- 3.2 Nucleic Acids -- The Monomers Are Nucleotides -- The Polymers Are DNA and RNA -- A DNA Molecule Is a Double-Stranded Helix -- 3.3 Polysaccharides -- The Monomers Are Monosaccharides -- The Polymers Are Storage and Structural Polysaccharides -- Polysaccharide Structure Depends on the Kinds of Glycosidic Bonds Involved -- 3.4 Lipids -- Fatty Acids Are the Building Blocks of Several Classes of Lipids -- Triacylglycerols Are Storage Lipids -- Phospholipids Are Important in Membrane Structure -- Glycolipids Are Specialized Membrane Components -- Steroids Are Lipids with a Variety of Functions -- Terpenes Are Formed from Isoprene -- Summary of Key Points -- Problem Set -- Human Connections: Aggregated Proteins and Alzheimer's -- Key Technique: Using X-Ray Crystallography to Determine Protein Structure -- Chapter 4. …”

Tabla de Contenidos: “…Dos ejemplos dispares: Anne Teresa de Keersmaeker y Wim Vandekeybus / Marta Llorente Pascual --Animación y danza: territorio expandido / Serafín Mesa -- La SignoDanza: palabras en movimiento / Rakel Rodríguez Ruiz --Movimiento y Cultura para personas con Alzheimer: proyecto de Aprendizaje Servicio. Ponencia / Susana Pérez Testor, Enric M. …”
Accés lliure a "Apuntes para reescribir la historia: Marina Lie Goubonina (Noreg). Ballet y franquismo" de Ester Vendrell

Tabla de Contenidos: “…Conclusions -- References -- Deficits in the spatial discourse of Alzheimer patients -- Introduction -- Study 1 - The production of route directions -- Study 2 - The description of urban scenes -- Study 3 - The production of route directions from maps or from memory -- Conclusions…”

Tabla de Contenidos: “…Garrard, DETECTING REPEATED SPEECH: A POSSIBLE MARKER FOR ALZHEIMER'S DISEASE -- A.Bandini, F. Giovannelli, M. …”

Tabla de Contenidos: “…4.2.2.8 Decision Making -- 4.2.2.9 Consumer Nation Identity (CNI) -- 4.2.2.10 Quality of Service -- 4.3 Conclusion -- 4.4 Further Studies -- References -- Chapter 5 A Method for Ranking Fuzzy Numbers Based on Their Value, Ambiguity, Fuzziness, and Vagueness -- 5.1 Introduction -- 5.2 Preliminaries -- 5.2.1 Definitions and Concepts -- 5.3 The Designed Method -- 5.4 Validate the Reasonableness of the Suggested Ranking Algorithm -- 5.5 Comparative Analysis and Numerical Examples -- 5.6 Application -- 5.7 Conclusions -- References -- Chapter 6 Evacuation of Attributes to Translucent TNSET in Mathematics Using Rough Topology -- 6.1 Introduction -- 6.2 Basic Concepts of Rough Topology -- 6.2.1 Conditional Attribute -- 6.2.2 Decision Attribute -- 6.2.3 Rough Topology -- 6.2.4 Lower Approximation -- 6.2.5 Upper Approximation -- 6.2.6 Boundary Region -- 6.2.7 Basis -- 6.2.8 Information System -- 6.2.9 Core -- 6.3 Algorithm -- 6.4 Information System -- 6.5 Working Procedure -- 6.6 Conclusion -- References -- Chapter 7 Design of Type-2 Fuzzy Controller for Hybrid Multi-Area Power System -- 7.1 Introduction -- 7.2 Plant Model -- 7.3 Controller Design -- 7.3.1 Proportional Integral Derivative (PID) Controller -- 7.3.2 Fractional Order Proportional Integral Derivative (FOPID) Controller -- 7.3.3 Type-2-Fuzzy Logic -- 7.4 Levenberg-Marquardt Algorithm -- 7.5 Optimization of Controller Parameters Using CASO Algorithm -- 7.6 Result and Analysis -- 7.6.1 Without Disturbances -- 7.6.2 With Disturbances -- 7.7 Conclusion -- Appendix -- References -- Chapter 8 Alzheimer's Detection and Classification Using Fine-Tuned Convolutional Neural Network -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Methodology -- 8.3.1 Dataset -- 8.3.2 Pre-Processing -- 8.4 Implementation and Results -- 8.5 Conclusion -- References…”

Tabla de Contenidos: “…CAMBIOS EN LA MEMORIA -- 7.5. EL ALZHEIMER Y LAS DEMENCIAS SENILES -- RESUMEN DE LA UNIDAD…”

Tabla de Contenidos: “…13.2.3 Henry gas solubility optimization mathematical model -- 13.2.4 Exploration and exploitation phases -- 13.3 Related works -- 13.3.1 Data mining -- 13.3.2 Genome biology (motif discovery problems) -- 13.3.3 Engineering problems -- 13.3.3.1 Solar energy -- 13.3.3.2 Cloud computing task scheduling -- 13.3.4 Benchmark functions -- 13.3.5 Automatic voltage regulator -- 13.3.6 Optimization tasks -- 13.3.7 Prediction of soil shear force -- 13.3.8 Autonomous vehicle management system -- 13.3.9 Software engineering problems -- 13.3.10 Machine learning -- 13.3.11 Image processing -- 13.3.12 Optimal power system -- 13.4 Discussion -- 13.5 Conclusion and future works -- References -- 14 A survey of the manta ray foraging optimization algorithm -- 14.1 Introduction -- 14.2 Manta ray foraging optimization -- 14.2.1 Chain foraging -- 14.2.2 Cyclone foraging -- 14.2.3 Somersault foraging -- 14.3 Related works -- 14.3.1 Machine learning -- 14.3.2 Engineering application -- 14.3.3 Network problems -- 14.3.4 Optimization problem -- 14.3.5 Image processing -- 14.3.6 Other applications -- 14.4 Discussion -- 14.5 Conclusion and future work -- References -- 15 A review of mothflame optimization algorithm: analysis and applications -- 15.1 Introduction -- 15.2 Moth Flame Optimization Algorithm -- 15.2.1 Origin -- 15.2.2 Moth Flame Optimization Algorithm -- 15.2.3 Establishing a Moth Population -- 15.2.4 Updating the Moths' Positions -- 15.3 The Growth of the Moth Flame Optimization Algorithm in the Literature -- 15.3.1 Variants -- 15.4 Application -- 15.4.1 Benchmark Functions -- 15.4.2 Chemical Applications -- 15.4.3 Economical Applications -- 15.4.4 Image Processing -- 15.4.5 Medical Applications -- 15.4.5.1 Breast Cancer Detection -- 15.4.5.2 Alzheimer's Disease Diagnosis -- 15.4.6 Machine Learning -- 15.5 Discussion -- 15.6 Concluding Remarks -- References…”

“…Monte Sana is an exclusive retirement community in the south of France where all the ailments of old age (strokes, diabetes, heart disease, Alzheimer̕s) can be cured or contained with the latest stem cell therapies. …”

Tabla de Contenidos: “…Nuria Lloret -- Sistemas de acompañamiento musical en el ámbito docente de la danza clásica / Comunicación de Helena Bayo Delgado -- Panorama pedagógico internacional del acompañamiento con piano para danza: revisión de los planes de estudios superiores de música fuera de España / Comunicación de Isaac Tello Sánchez -- Danza creativa para personas con Alzheimer: una experiencia educativa / Ponencia de Dra. …”

“…Through masterfully written narrative and stunning imagery, you'll watch human brains healing, growing, and adapting... gain powerful new insights into the interplay between environment and genetics... begin understanding how people can influence their own intellectual abilities and emotional makeup... and join scientists in tantalizing discoveries about everything from coma to PTSD and Alzheimer’s. Finally, in The Root of Thought , Andrew Koob shows why glial cells — once thought to be merely “brain glue” — may actually hold the key to understanding intelligence, treating psychiatric disorders and brain injuries, and perhaps even curing Alzheimer's and Parkinson's. …”