Bentham Science Publishers

This volume is a comprehensive guide to the industrial use of polymer composites. Edited contributions demonstrate the application of these materials for different industrial sectors. The book covers the benefits, future potential, and manufacturing techniques of different types of polymers. Contributors also address challenges in using nanopolymers in these industries. Readers will find valuable insights into the current demand and supply of polymer composites and future scope for research and development in this field of polymer science. The volume presents seven chapters, each exploring a different application of polymer composites. Chapter 1 discusses the use of polymer additives for improving classical concrete and the workability and durability of polymer composite concrete. Chapter 2 explores the use of polymer nanocomposites in packaging, including smart/intelligent packaging, modified atmosphere packaging, and vacuum packaging. Chapter 3 delves into the use of polymer composites in tissue engineering, including manufacturing techniques and various applications. Chapter 4 explores energy storage applications for polymer composites, while Chapter 5 discusses their use in microbial fuel cells. Chapter 6 explores the use of carbon nanotubes in polymer composite gas sensors. Finally, Chapter 7 discusses the use of polymer composites in automotive applications. This is an ideal reference for researchers, scientists, engineers, and professionals in the fields of materials science, polymer science, engineering, and nanotechnology. The content is also suitable for graduate and postgraduate students studying industrial manufacturing.

This volume is a compilation of reviews on the industrial usage of soil microorganisms. The contents include 15 brief reviews on different soil microbe assisted industrial processes. Readers will be updated about recent applications of soil bacteria, fungi and algae in sectors such as agriculture, biotechnology, environmental management.

The reviews also cover special topics like sustainable agriculture, biodiversity, ecology, and intellectual property rights of patented strains, giving a broad perspective on industrial applications of soil microbes. The text is easy to understand for readers of all levels, with references provided for the benefit of advanced readers.

Herbal Medicine: Back to the Future compiles expert reviews on the application of herbal medicines (including Ayurveda, Chinese traditional medicines and alternative therapies) to treat different ailments. The book series demonstrates the use of sophisticated methods to understand traditional medicine, while providing readers a glimpse into the future of herbal medicine.

This volume presents reviews of plant based therapies useful for treating different infectious diseases. The reviews highlight different sources of antiviral, antibacterial and antifungal herbs. The volume concludes with a review on the therapeutic potential of herbs for treating rheumatoid arthritis. The chapters included in this volume are as follows:

- Brazilian Siparuna species as a Source of antiviral agents

- Antimicrobial and antifungal potential of Indian spices

- Role of herbal medicines in the treatment of infectious diseases

- Herbal medicine: traditional approach to treat infectious diseases

- Exploring the therapeutic potential of medicinal plants for rheumatoid arthritis

This volume is essential reading for all researchers in the field of natural product chemistry and pharmacology. Medical professionals involved in internal medicine who seek to improve their knowledge about herbal medicine and alternative therapies for tropical and other infectious diseases will also benefit from the contents of the volume.

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases presents information about diseases of the respiratory system and the relevant diagnostic imaging techniques. The book focuses on intelligent diagnostic imaging systems.

The first section of the book deals with the physiological underpinnings of 3 major diseases that affect the respiratory system: tuberculosis, lung cancer and COVID-19. This section also explains the basic principles of artificial Intelligence that support the diagnosis of these diseases.

The next section presents applications of intelligent systems to support the imaging diagnosis of COVID-19 and lung cancer, with emphasis on digital health and telemedicine approaches.

Each chapter is organized into a readable format, and is accompanied with a detailed bibliographical information for further reading.

This book is a reference for everyone seeking to understand how artificial intelligence can provide solutions for diagnostic support systems by processing and analyzing radiological images to improve early diagnosis and, consequently, lung disease prognosis.

This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation.

Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications.

The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW.

Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare.

The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.

This reference is a compilation of work from different technology groups that give an insight into strategies used for technology optimization and technical R&D. Each of the 14 chapters presented in the book are contributed by engineering experts and focus on different aspects of smart technologies. The chapters cover a wide range of technical disciplines with a list of references for further reading. The compilation demonstrates methods that are useful to apprentices and researchers involved in the development of technologies in different fields: & Wireless networking & Signal processing & Control and machine engineering & SOC design & Materials science and nanotechnology & Biomedical engineering & Power electronics The contributions in this book provide interesting examples for product development such as custom nanomaterials, digital electronics, smart devices and antennas. The content also serves as a reference for designing special components used for complex systems like wireless communication systems, automated control systems and organic waste processing systems. The content is structured in a format suitable for both learners and advanced researchers, making this reference essential to engineers at all levels.

Introduction to Advanced Soft Robotics is an introductory textbook on soft body robotics. The content is designed to enable readers to better understand soft body robotics. Starting with an introduction to the subject, contents explain fundamental concepts such as perception and sensing, fabrication techniques and material design. These introductory chapters demonstrate the design concept and related design structures of soft robots from multiple perspectives, which can provide considerable design references for robotics learners and enthusiasts. Next, the book explains modeling and control for soft robotics and the applications. Key features of this book include easy-to-understand language and format, simple illustrations and a balanced overview of the subject (including a section on challenges and future prospects for soft robotics), and scientific references.

Introduction to Molecular Genomics introduces the college student to the fundamental concepts of molecular biology and genomics. The text puts an emphasis on important topics in the subject that contribute to the learner’s understanding. These topics include molecular genomics, biodiversity and molecular phenomenon behind evolution of species, modern molecular methods for enhanced genomics research, DNA modifications at the molecular level for transgenic animal species, the role of cell environment on the gene expression, to name a few. The book has been designed to suit the requirements of educational courses in molecular biology, genomics and biochemistry.

Key features

- Covers basic concepts on key topics in molecular biology and genomics

- Simple easy-to-read layout

- Includes references for further reading

- Includes a section on ethical aspects of scientific research

Introduction to Molecular Genomics is a simple primer for students in applied or advanced life science courses at undergraduate levels

SPSS is beneficial for students and researchers in psychology, sociology, psychiatry, and other behavioural sciences, as it performs a wide range of univariate and multivariate operations commonly used in these fields.

Introductory Statistical Procedures with SPSS is an easy to use textbook that presents the core concepts of statistical theory with applications in SPSS. The goal of this book is to give learners simple and clear instructions on how to use recent versions of SPSS, to perform a range of statistical studies. The book chapters explain elementary statistics (descriptive and inferential) giving a detailed understanding of the discussed topics. Each chapter focuses on a specific type of analytical procedure that can be used to understand a wide range of data sets, the majority of which are from the social and behavioural sciences.

Key Features:

- Simple and clear instructions to use SPSS (Version 21) in 10 chapters

- Introduces the reader to core descriptive statistical and probability measures - Covers inferential statistics

- Covers regression and correlation analysis

- Covers multivariate statistics

- Presents many illustrative examples and theoretical problems at the end of each chapter with real-life data

Introductory Statistical Procedures with SPSS is an essential guide for anyone who is interested in learning statistical applications of SPSS. Readers with no prior knowledge of statistics, students at all academic levels and professionals alike will benefit from the information in this text book.