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Plant Metabolites and Vegetables as Nutraceuticals
This volume explores vegetables and plant metabolites as nutraceuticals that provide nutritional importance in the prevention and/or treatment of human diseases and for maintaining the body’s energy balance. Key features: Considers applications and implications of plant metabolites and vegetables as nutraceuticals in healthcare Discusses the mechanisms of plant metabolites and vegetables to support the prevention and treatment of cancer, gout, heart disease, liver disease, Parkinson’s and other brain diseases, and gastrointestinal disease Explores the role of phytochemicals bioactive compounds as nutraceuticals in healthcare Looks at the relationship between eating fruits and vegetables and the incidence of serious and chronic diseases With contributions from renowned scientists and researchers around the globe, the volume provides up-to-date information that offers insights on the value of plant metabolites and vegetables as nutraceuticals that will be of interest to academicians, scientists, researchers, and industry professionals worldwide.
Index Medicus
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models
This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory. The main focus is on analytics that use fuzzy logic, queuing and reliability theory for the performance prediction and optimal design of real-time engineering systems including call centers, telecommunication, manufacturing, service organizations, etc. For the day-to-day as well as industrial queuing situations and reliability prediction of machining parts embedded in computer, communication and manufacturing systems, the book assesses various measures of performance and effectiveness that can provide valuable insights and help arrive at the best decisions with regard to service and engineering systems. In twenty chapters, the book presents both theoretical developments and applications of the fuzzy logic, reliability and queuing models in a diverse range of scenarios. The topics discussed will be of interest to researchers, educators and undergraduate students in the fields of Engineering, Business Management, and the Mathematical Sciences.
Biostimulants in Plant Protection and Performance
Biostimulants (a diverse class of compounds including substances or microorganisms) are helpful in sustainable plants growth and development. They accelerate plant growth, yield, and chemical composition even under unfavorable conditions. The main biostimulants are nitrogen-containing compounds, humic materials, some specific compounds released by microbes, plants, and animals, various seaweed extracts, bio-based nanomaterials, phosphite, silicon, and so on. Additionally, new generation products and bioproducts are being developed for sustainable plant growth and protection. Some research works in the area of biotechnology and nanobiotechnology have shown improved sustainable plant growth an...
Robotics and Automation in Industry 4.0
The book presents the innovative aspects of smart industries and intelligent technologies involving Robotics and Automation. It discusses the challenges in the design of autonomous robots and provides an understanding of how different systems ommunicate with each other, allowing cooperation with other human systems and operators in real time. Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies offers research articles, flow charts, algorithms, and examples based on daily life in automation and robotics related to the building of Industry 4.0. It presents disruptive technology applications related to Smart Industries and talks about how robotics is an import...
Approaches and Applications of Deep Learning in Virtual Medical Care
The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students.
Handbook of Research on Artificial Intelligence Techniques and Algorithms
For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.
