In comparison to Industry 4.0, Industry 5.0 is seen as the next industrial revolution, with the goal of leveraging the creativity of human experts in combination with efficient, intelligent, and accurate machines to provide resource-efficient and user-preferred solutions. With the improvements in social networks, cloud, and the internet of things (IoT)-based technologies, the requirement for a strong cyber security system, particularly in the healthcare sector, is increasing. Cyber Trafficking, Threat Behavior, and Malicious Activity Monitoring for Healthcare Organizations provides a comprehensive review of techniques and applications of Industry 5.0-enabled intelligent healthcare-centric cyber security. The goal of this book is to close the gap between AI and cyber security. Covering topics such as malicious activity, the dark web, and smart healthcare systems, this premier reference source is an essential resource for healthcare administrators, IT managers, system developers, system architects, IT specialists, students and educators of higher education, librarians, researchers, and academicians.

In Myriad Intimacies postcolonial theorist, spiritual practitioner, and filmmaker Lata Mani oscillates between text and video, poetry and prose, genre and form, register and voice, and secular and sacred to offer a transmedia exploration of the interrelatedness of lives, concepts, frameworks, and aspects of self. She draws on concepts from tantra-a philosophy that celebrates matter as alive, embodiment as sacred, and the senses as a form of intelligence-alongside feminist, critical race, and cultural theory to meditate on the ways in which everyone and everything exists in mutually constitutive interrelations. Addressing issues ranging from desire, the body, nature, and love, to otherness, identity politics, social justice, #MeToo, and the COVID-19 pandemic, Mani foregrounds the power and necessity of recognizing relationality as foundational. Throughout, she offers a way of reframing what we think we know and how we come to know it, demonstrating that it is only by acknowledging and embracing the indivisible and interdependent nature of existence that we restore our true intimacy with each other and the world.

Enzymes have interesting applications in our biological system and act as valuable biocatalysts. Their various functions allow enzymes to develop new drugs, detoxifications, and pharmaceutical chemistry. Research Advancements in Pharmaceutical, Nutritional, and Industrial Enzymology provides emerging research on biosynthesis, enzymatic treatments, and bioengineering of medicinal waste. While highlighting issues such as structural implications for drug development and food applications, this publication explores information on various applications of enzymes in pharmaceutical, nutritional, and industrial aspects. This book is a valuable resource for medical professionals, pharmacists, pharmaceutical companies, researchers, academics, and upper-level students seeking current information on developing scientific ideas for new drugs and other enzymatic advancements.

This book highlights current Cannabis research: its botany, authentication, biotechnology, in vitro propagation, chemistry, cannabinoids biosynthesis, metabolomics, genomics, biomass production, quality control, and pharmacology. Cannabis sativa L. (Family: Cannabaceae) is one of the oldest sources of fiber, food and medicine. This plant has been of interest to researchers, general public and media not only due to its medicinal properties but also the controversy surrounding its illicit use. Cannabis has a long history of medicinal use in the Middle East and Asia, being first introduced as a medicine in Western Europe in the early 19th century. Due to its numerous natural constituents, Cannabis is considered a chemically complex species. It contains a unique class of terpeno-phenolic compounds (cannabinoids or phytocannabinoids), which have been extensively studied since the discovery of the chemical structure of tetrah ydrocannabinol ( 9-THC), commonly known as THC, the main constituent responsible for the plant's psychoactive effects. An additionally important cannabinoid of current interest is Cannabidiol (CBD). There has been a significant interest in CBD and CBD oil (extract of CBD rich Cannabis) over the last few years because of its reported activity as an antiepileptic agent, particularly its potential use in the treatment of intractable epilepsy in children.

Plant-based medicines play an important role in all cultures, and have been indispensable in maintaining health and combating diseases. The identification of active principles and their molecular targets from traditional medicine provides an enormous opportunity for drug development. Using modern biotechnology, plants with specific chemical compositions can be mass propagated and genetically improved for the extraction of bulk active pharmaceuticals. Although there has been significant progress in the use of biotechnology, using tissue cultures and genetic transformation to investigate and alter pathways for the biosynthesis of target metabolites, there are many challenges involved in bringing plants from the laboratory to successful commercial cultivation. This book presents the latest advances in the development of medicinal drugs, including topics such as plant tissue cultures, secondary metabolite production, metabolomics, metabolic engineering, bioinformatics and future biotechnological directions.

This book is a collection of best selected high-quality research papers presented at the International Conference on Advances in Energy Management (ICAEM 2019) organized by the Department of Electrical Engineering, Jodhpur Institute of Engineering & Technology (JIET), Jodhpur, India, during 20-21 December 2019. The book discusses intelligent energy management technologies which are cost effective compared to the high cost of fossil fuels. This book also explains why these systems have beneficial impact on environmental, economic and political issues of the world. The book is immensely useful for research scholars, academicians, R&D institutions, practicing engineers and managers from industry.

The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental. This book: Discusses data acquisition by the internet of things for real-time monitoring of solar cells. Covers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills. Details solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data. Highlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications. Elaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances. The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified P&O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-fuzzy methodologies. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.

This book is a selection of case studies undertaken by cultural heritage and disaster risk management professionals across the world demonstrating good practices for disaster risk management of cultural heritage. The readers will learn about the practical application of various methodologies, tools and techniques for disaster risk assessment, mitigation, preparedness, response and recovery of cultural heritage. They will also learn about the application of traditional knowledge and engagement of communities for disaster risk management of cultural heritage. This will help relevant organizations and professionals to develop and implement projects in this field. The intended audience for this book is Practitioners or site managers of cultural heritage sites and museums. Also, researchers and students studying disaster risk management of cultural heritage. The book will also be of interest to Disaster risk management institutions at the urban, regional or national level /cultural heritage management institutions at the urban, regional or national level/ city administration, municipalities, urban local bodies and planning departments/ educational and research institutions which have specialized programmes in engineering, planning, and disaster risk management, conservation of cultural heritage.

This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.

Presents potential biotechnological topics and strategies for the valuation of agricultural waste materials Provides technical concepts on the production of various commercially significant bio-products Introduces various microbial bioprocesses to sustainably valorise various potential wastes as renewable feedstocks for production of biofuels and biochemicals Explores the relevant scale-up opportunities, commercialization aspects and critical technological advances Explains concepts and recent trends in life cycle analyses in waste valorization

Since the thirteenth century, the sitar-a stringed, plucked instrument of India-has transformed into an instrument beloved by millions in its country of origin as well as all over the world. "The Journey of the Sitar in Indian Classical Music" details the origin, history, and playing styles of this unique stringed instrument.

Dr. Swarn Lata relies on more than thirty-five years of experience teaching sitar to students from diverse cultures and communities as well as extensive research from libraries, museums, temples, and musicologists to compile a comprehensive guidebook filled with fascinating facts about the sitar. In a carefully organized format, Lata offers an in-depth examination of the meaning of musical instruments, the styles of different "gharanas," and the place of the sitar in Indian classical music.

Music is an extraordinary medium of expression that has the capability to bring the world together. This step-by-step guidebook shares a one-of-akind study of a unique instrument that produces a beautiful sound while providing an unforgettable spiritual experience to all who listen.

The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications. It further emphasizes the importance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries. Discusses advanced concepts in the field of electro-optics devices for medical applications. Presents optimization techniques including logical effort, particle swarm optimization, and genetic algorithm to design Opto-VLSI devices and circuits. Showcases the concepts of artificial intelligence and machine learning for smart medical devices and data auto-collection for distance treatment. Covers advanced Opto-VLSI devices including a field-effect transistor and optical sensors, spintronic, and photonic devices. Highlights application of flexible electronics in health monitoring and artificial intelligence integration for better medical devices. The text presents the advances in the fields of optics and VLSI and their applicability in diverse areas including biomedical engineering, and the healthcare sector. It covers important topics such as FET biosensors, optical biosensors, and advanced optical materials. It further showcases the significance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries. It will serve as an ideal design book for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering

Standard Blurb: This book provides a comprehensive compilation of past, present and future perspectives of essential oils focusing on its properties such as antioxidant, antimicrobial, anticancerous, toxicology, and chemical composition. It also discusses competency of essential oil in treating disorders like diabetes, insomnia, depression, nausea, anxiety, and stress and other practical topics obligatory for the development of essential oils industry. This book would be useful for biochemists, aromatherapists, agrotechnologists, and nutritionists. Salient features: 1. Discusses phytochemistry and pharmacological applications of essential oils obtained from medicinal plants such as turmeric, Nigella sativa, basil, cinnamon and lemon. 2. Explores phytophenols potential, one of the components of essential oils, in developing metal phenolic networks. 3. Reviews encapsulation of essential oils for various applications in drug delivery system provides a wider range of research fields. 4. Discusses role of essential oils in handling the health problems such as Diabetes and Insomnia. 5. Explores pharmacological applications of Brazil and other countries aromatic plants with a discussion on biochemistry.

Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development. This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

This book analyses the key livelihood and governance challenges that the urban poor experience while navigating public spaces in Dhaka, Bangladesh. Using data collected through extensive fieldwork in Bangladesh, the book contributes to the emerging scholarship of resilient cities, gendered space, spatial justice, and poverty in cities of the Global South. The book assesses the everyday politics of survival for the urban poor; how the poor negotiate different levels of formal and informal modes of power and governance; and the dynamics of gender. It explores how tenuous counterspaces are created when these factors combine to provide a valuable framework for work in other urban contexts in the Global South beyond Bangladesh. Using cross-disciplinary perspectives, this book investigates the issues of human development, urban governance, urban planning and the gendered nature of urban space to outline how these issues enable or constrain poor people's livelihood practices and their rights to be in the city. Exploring debates surrounding placemaking and inclusive cities and their connection to poor people's livelihoods, this book will be of interest to scholars in the field of Sociology, Development Studies, Planning, Geography and Anthropology.

This volume explores the professional experiences of a vast array of educators through a series of research essays that focus on the interplay of gender, race, class, and sexualities as well as how these dynamics influence the educators' teaching. The volume illuminates this interplay not only in traditional classroom settings, but also in non-traditional contexts such as prisons and juvenile detention facilities, family education, dual-language immersion programs, early childhood education, and higher education, including teacher training programs. The concluding chapter, written by the editors, provides general recommendations for recruiting and retaining a more diverse teacher workforce worldwide. From autoethnographies to platicas, testimonios and in-depth interviews, this qualitatively rich volume offers powerful and timely insights about the experiences of teachers who are too often overlooked. Gilda L. Ochoa, Professor of Chicana/o Latina/o Studies This illuminating book centers educators' intersectional subjectivities and lived experiences, bringing to life the radical possibilities of transformative education. It is a much needed resource for anyone invested in understanding and advancing education as a catalyst for equity and social justice. Lorena Garcia, Associate Professor of Sociology & Latin American and Latino Studies

This book facilitates the VLSI-interested individuals with not only in-depth knowledge, but also the broad aspects of it by explaining its applications in different fields, including image processing and biomedical. The deep understanding of basic concepts gives you the power to develop a new application aspect, which is very well taken care of in this book by using simple language in explaining the concepts. In the VLSI world, the importance of hardware description languages cannot be ignored, as the designing of such dense and complex circuits is not possible without them. Both Verilog and VHDL languages are used here for designing. The current needs of high-performance integrated circuits (ICs) including low power devices and new emerging materials, which can play a very important role in achieving new functionalities, are the most interesting part of the book. The testing of VLSI circuits becomes more crucial than the designing of the circuits in this nanometer technology era. The role of fault simulation algorithms is very well explained, and its implementation using Verilog is the key aspect of this book. This book is well organized into 20 chapters. Chapter 1 emphasizes on uses of FPGA on various image processing and biomedical applications. Then, the descriptions enlighten the basic understanding of digital design from the perspective of HDL in Chapters 2-5. The performance enhancement with alternate material or geometry for silicon-based FET designs is focused in Chapters 6 and 7. Chapters 8 and 9 describe the study of bimolecular interactions with biosensing FETs. Chapters 10-13 deal with advanced FET structures available in various shapes, materials such as nanowire, HFET, and their comparison in terms of device performance metrics calculation. Chapters 14-18 describe different application-specific VLSI design techniques and challenges for analog and digital circuit designs. Chapter 19 explains the VLSI testability issues with the description of simulation and its categorization into logic and fault simulation for test pattern generation using Verilog HDL. Chapter 20 deals with a secured VLSI design with hardware obfuscation by hiding the IC's structure and function, which makes it much more difficult to reverse engineer.

The fundamental principles of electronic device and circuit design are discussed in a clear and detailed manner along with explanatory diagrams. Various IoT-based smart applications in different fields along with challenges and issues along with prospects of IoT for future applications have also been discussed. The chapters delve into myriad aspects of circuit design, including MOSFET structures depending on their low power applications for IoT-enabled systems, advanced sensor design and fabrication using MEMS, indirect bootstrap techniques, efficient CMOS comparators, various encryption-decryption algorithms, IoT video forensics applications, microstrip patch antennas in embedded IoT applications, real-time object detection using sound, IOT and nanotechnologies based wireless sensors, and much more. It also introduces logic BIST using BS-CFSR for electronic devices that can be part of many applications in many industries, such as defense, automotive, banking, computer, healthcare, networking, and telecommunication.

Provides the details of state-of-the-art machine learning methods used in VLSI Design. Discusses hardware implementation and device modeling pertaining to machine learning algorithms. Explores machine learning for various VLSI architectures and reconfigurable computing. Illustrate latest techniques for device size and feature optimization. Highlight latest case studies and reviews of the methods used for hardware implementation.

The impact of the proposed book is to provide a significant area of concern to develop a foundation for the implementation process renewable energy system with intelligent techniques. The researchers working on a renewable energy system can correlate their work with intelligent and machine learning approaches. To make aware of the international standards for intelligent renewable energy systems design, reliability and maintenance. To give better incites of the solar cell, biofuels, wind and other renewable energy system design and characterization, including the equipment for smart energy systems.

This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets. Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use of sensitivity analysis and modelling and includes case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the utilization of MCDM to a variety of situations. The book deliberates ways for companies to use these methods to their advantage in order to achieve sustainability. Furthermore, it also presents an overview of the major streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization. FEATURES Offers a stepwise comprehensive methodology for the application of MCDM to a variety of situations Presents an overview of the major streams of thought present in the MCDM technique Provides a holistic view of the latest research and development trends in the emerging markets in terms of modelling and optimization using MCDM for different industrial sectors Illuminates a practical foundation in order to provide a guide to address the problems of emerging markets Enlightens the ways for companies to use these methods to their advantage to be able to achieve sustainability This book is a guide for those performing decision analysis for academic purposes as well as for researchers aspiring to expand their knowledge on MCDM problem solving.