Bentham Science Publishers

This book focuses on crucial characterization methods adopted for materials, design, and performance of secondary batteries. The book is divided into eight chapters aiming to provide comprehensive and essential guidance on battery characterizations. Each chapter focuses on a specific technique: electron microscopy, focused ion beam methods, atomic force microscopy, X-ray photoelectron spectroscopy, time-of-flight secondary ion mass spectra, neutron diffraction, synchrotron-radiation X-ray tomography, and ultrasonic nondestructive testing.

Key Features

· Comprehensive coverage of characterization techniques for secondary battery technology

· Explains the working principle, essential functions and data analysis for each technique

· In-depth review of recent applications of secondary batteries from both material and device perspectives

· Detailed reference list for advanced readers

This monograph is intended as a resource for the broad research community involved in materials and device testing for batteries at academic and industrial levels. It also serves as a reference for engineering students required to learn advanced characterization techniques for developing rechargeable battery technology.

This book focuses on the advanced controller designs of flight vehicle maneuver and operation. Chapters explain advanced control mechanisms and algorithms for different controllers required in a flight vehicle system. The book topics such as air-disturbance fixed time controllers, algorithms for orbit and attitude computation, adaptive control modes, altitude stabilization, nonlinear vibration control, partial space elevator configuration, controls for formation flying and satellite cluster, respectively.

Key features:

1) Includes an investigation of high-precision and high-stability control problems of flight vehicles

2) Multiple complex disturbances are considered to improve robust performance and control accuracy

3)Covers a variety of single spacecraft and distributed space systems (including hypersonic vehicles, flexible aircraft, rigid aircraft, and satellites)

This book will be helpful to aerospace scientists and engineers who are interested in working on the development of flight vehicle maneuver and operation. Researchers studying control science and engineering, and advanced undergraduate and graduate students and professionals involved in the flight vehicle control field will also benefit from the information given in this book.

Advanced Machine Learning for Complex Medical Data Analysis is a definitive guide to leveraging machine learning to solve critical challenges in medical data analysis. This book discusses cutting-edge methodologies, from predictive modeling to neural networks, tailored to address the unique complexities of medical and healthcare data. It combines theoretical frameworks with practical applications, ensuring readers gain a comprehensive understanding of both concepts and real-world implementations.

The book covers diverse topics, including medical image denoising, the transformative role of GANs, IoT applications in healthcare, early disease detection using speech data, and COVID detection using autoencoders. It also explores the impact of big data, statistical approaches to medical analytics, and public health improvements through technology.

Key Features:

- Practical insights into deploying advanced machine learning models for healthcare.

- Real-world case studies on diverse diseases and datasets.

- Cutting-edge topics like explainable AI, federated learning, and ethical considerations.

- Methods for improving data accuracy, efficiency, and privacy.

The discovery of new materials and the manipulation of their exotic properties for device fabrication is crucial for advancing technology. Nanoscience and the creation of nanomaterials have taken materials science and electronics to new heights for the benefit of mankind. Advanced Materials and Nanosystems: Theory and Experiment cover several topics of nanoscience research. The compiled chapters aim to update students, teachers, and scientists by highlighting modern developments in materials science theory and experiments. The significant role of new materials in future technology is also demonstrated. The book serves as a reference for curriculum development in technical institutions and research programs in the field of physics, chemistry, and applied areas of science like materials science, chemical engineering, and electronics. This part covers 12 topics in these areas: - Carbon and boron nitride nanostructures for hydrogen storage applications - Nanomaterials for retinal implants - Materials for rechargeable battery electrodes - Cost-effective catalysts for ammonia production - The role of nanocomposites in environmental remediation - Optical analysis of organic and inorganic components - Metal-oxide nanoparticles - Mechanical analysis of orthopedic implants - Advanced materials and nanosystems for catalysis, sensing, and wastewater treatment - Topological Nanostructures - Hollow nanostructures

Advanced Materials for Emerging Applications is a monograph on emerging materials'; materials that have observable differences in physical properties and manufacturing requirements when compared to existing materials and industrial processes. The volume aims to showcase novel materials that can be used in advanced technology and innovative products.

The editors have compiled 17 chapters grouped into 3 sections: 1) Metals and Alloys, 2) Composite materials, and 3) Other materials. Chapters 1-5 discuss recent advances in friction stir welding, suitability of nickel-base shape memory alloys, thermal cycling studies of nickel-based shape memory alloys, nitrogen additions to stainless steel, and the evolution of zirconium alloy. Chapters 6-11 cover topics such as additive manufacturing of metal matrix composites, composite materials for biomedical applications, aluminum and magnesium metal matrix composites, aluminum nanocomposites for automobile applications, enhancing the strength of aluminum-boron carbide composites, and sisal fibers reinforced composites. Lastly, chapters 13-17 explore smart hydrogels, engineered iron-oxide nanomaterials for magnetic hyperthermia, emerging sustainable material technology for fire safety, recent advances in unconventional machining of smart alloys, and critical parameters influencing high-strain rate deformation of materials.

This monograph provides information for a broad readership including material and manufacturing engineers, researchers, students (at undergraduate levels or above) and entrepreneurs interested in manufacturing new products.

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses.

Key Features:

- Comprehensive coverage of advanced mathematical concepts and techniques in data science

- Contributions from established scientists, researchers, and academicians

- Real-world case studies and practical applications of mathematical methods

- Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis

- In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence

- Scholarly references for each chapter - Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.

High air pollution levels pose a significant threat to plants, animals and human beings. Efforts by researchers are directed towards keeping air pollution levels below well defined ‘critical‘ levels in order to maintain a sustainable atmosphere and environmental system. The application of advanced mathematical models is important for researchers to achieve this goal as efficiently as possible. Mathematical models can be used to predict answers to many important questions about the environment. This application comes with several complex theoretical and practical obstacles which need to be resolved. A successfully applicable mathematical model needs to enable researchers to

Mathematically describe all important physical and chemical processes.

Apply fast and sufficiently accurate numerical methods.

Ensure that the model runs efficiently on modern high speed computers.

Use high quality input data, both meteorological data and emission inventories, in the runs.

Verify the model results by comparing them with reliable measurements taken in different parts of the spatial domain of the model.

Carry out long series of sensitivity experiments to check the response of the model to changes of different key parameters.

Visualize and animate the output results in order to make them easily understandable even to non-specialists.

This monograph thoroughly describes mathematical methods useful for various situations in environmental modeling including finite difference methods, splitting methods, parallel computation, etc. and provides a framework for resolving problems posed in relation to the points listed above. Chapters are written by well-known specialists making this book a handy reference for researchers, university teachers and students working and studying in the areas of air pollution, meteorology, applied mathematics and computer science.

This 2-part reference informs readers about the application of drug delivery technologies to herbal medicines. Chapters cover a broad range of major topics on the subject of targeted drug delivery systems. These topics include the application of drug delivery systems for herbal nanomedicines, drug development issues, emerging technologies, adaptations for clinical use, market prospects and challenges of industrial commercialization. Chapters have been contributed by several experts in pharmaceutical chemistry and blend theoretical knowledge with practical aspects of drug delivery.

Part II covers the following topics:

- Pharmaceutical nanosciences and their application in the delivery of various phytoconstituents

- Design of cosmeceutical drug delivery systems: the role of nanotechnology in cosmeceuticals

- Transfersomes: a novel vesicular transdermal delivery system

- Self-nano/micro emulsified drug delivery systems

- Phytosomes

- The role of nanomedicines in ocular drug delivery systems

- Colloidosomes as an efficient novel drug delivery system: an update

- Herbal nanoscience: challenges and regulatory perspectives

- Vitamins based nanomedicine approach

- Dendrimers: a versatile nanoplatform for advanced targeting and bioactive(s) delivery

- Targeted drug delivery systems for cells and cell organelles

- Liposomes for herbal drug delivery

- AI in pharmacy, herbal medicine and drug delivery: sci-fi or reality?

Advanced Physical Chemistry Practical Guide aims to improve the student's understanding of theory through practical experience and by facilitating experimental exercises. The book covers a wide range of areas from basic to advanced experiments including the calibration of instruments as well as the use of software for accurate computational quantum chemical calculations.

This book is divided into four sections:

part I - general introduction, calibration of glassware, instruments and precautions

part II - experiments that have a simple theoretical background and classical methods

part III - experiments that are associated with more advanced theory, and technique that require a greater degree of experimental skill and instrumentation

part IV - investigative experiments relying on computers

Covering all aspects of classical, advanced and computational chemistry experiments, Advanced Physical Chemistry Practical Guide will enable students to gain confidence in their ability to perform a physical chemistry experiment and to appreciate the value of an experimental approach towards the subject. Advanced Physical Chemistry Practical Guide is an essential handbook for students and teachers at advanced levels who seek to learn practical knowledge about important aspects of physical chemistry.