When a little boy paints his nails with his mum's nail polish, he discovers the most important thing of all: the magic of being his true self. As the long Indian summer days stretch ahead of him, a young boy looks forward to his favourite time - painting-your-nails-time. He knows that when he dips his brush into those magical bottles of nail polish, he will find a colour to express his every mood and feeling. Purple is the colour of magic and mystery. White is the colour of endless possibilities. At times, his Papa frowns and says, "What have you done to your nails?" At other times, he says, "Why don't you paint on paper instead?" But the little boy knows that painting his nails makes his hands look beautiful. This colour-filled story celebrates the joy of finding out who you are and embracing the courage to be yourself.

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems. Practical examples and case studies to help readers understand complex concepts. Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics. Clear and concise language that is easy to understand. This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.

This volume brings together information on the available and newly emerging technologies related to using plant compounds that have a beneficial role in food production. It is divided into sections focusing on phytochemistry of cereals and legumes, phytochemistry of medicinal plants, and technological advances in phytochemical study. Topics include the role of anti-nutritional substances of legumes in human health and on the elimination of such through technological processing sorghum phytochemicals and their processing and use in the development of food products production of nutraceuticals and functional foods of pharmaceutical importance T. cordifolia in the development of its therapeutic use in the food, health, and pharmacology industries polyphenolic compounds of plants, including their biosynthesis process, their classification, function, and role as bioactive compounds

Tips to Succeed in Oral Exam. Examination Techniques Diagnostic Investigations Clinical Ophthalmology Ocular Pharmacology Ophthalmic Surgery. Ocular Pathology General Medicine. Problem-Solving Paper List of Abbreviations.

With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA. The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

This volume brings together information on the available and newly emerging technologies related to using plant compounds that have a beneficial role in food production. It is divided into sections focusing on phytochemistry of cereals and legumes, phytochemistry of medicinal plants, and technological advances in phytochemical study. Topics include the role of anti-nutritional substances of legumes in human health and on the elimination of such through technological processing sorghum phytochemicals and their processing and use in the development of food products production of nutraceuticals and functional foods of pharmaceutical importance T. cordifolia in the development of its therapeutic use in the food, health, and pharmacology industries polyphenolic compounds of plants, including their biosynthesis process, their classification, function, and role as bioactive compounds

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA. The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

With the advent of the IT revolution, the volume of data produced has increased exponentially and is still showing an upward trend. This data may be abundant and enormous, but it's a precious resource and should be managed properly. Cloud technology plays an important role in data management. Storing data in the cloud rather than on local storage has many benefits, but apart from these benefits, there are privacy concerns in storing sensitive data over third-party servers. These concerns can be addressed by storing data in an encrypted form; however, while encryption solves the problem of privacy, it engenders other serious issues, including the infeasibility of the fundamental search operation and a reduction in flexibility when sharing data with other users, amongst others. The concept of searchable encryption addresses these issues. This book provides every necessary detail required to develop a secure, searchable encryption scheme using both symmetric and asymmetric cryptographic primitives along with the appropriate security models to ensure the minimum security requirements for real-world applications.

Chowdhury addresses fundamental issues of policy management in resource-based developing countries, by providing an extension of the existing 'Dutch Disease' theory and its applications to the developing country context. The impact of resources booms is of paramount importance for the developing economies. To date the analytical and empirical investigations of these issues have not been available. Essentially, this study will fill this gap. The book investigates the macroeconomic impact of a resources boom and the long-term growth implications of related policy choices with reference to Papua New Guinea. Like many other primary commodity exporting developing economies, Papua New Guinea experienced several short-lived export booms over the past two and a half decades, providing a fascinating case study of potential gains from resources booms and the accompanying complex problems of policy management. This study also incorporates a comparative study of resources boom and policy management issues between Papua New Guinea, Indonesia and Nigeria.

Water is the most basic need of mankind. Drinking water is considered the most essential use of water in life. Therefore it must be free of pathogens, toxins and carcinogens.

Absolutley pure water does not exist in nature. Surface water absorbs particles, carbon dioxide and other gases and mixes with silt and inorganic matters from the environment. When treated and untreated domestic and industrial waste is discharged into natural bodies of water the situation becomes even more complex. Thus human waste, drinking water and communicable diseases are directly related.

Water contamination is measured by the level of pollutants present in a sample. Regular analytical estimation of wastewater is the answer. This manual emphasizes the importance of water purity for drinking and domestic purposes, different types of water and their utilization in various activities, the water quality requirements and criteria of International and Governmental Agencies, and simple estimation procedures and the significance of each analytical test.

Quality Assessment of Water and Wastewater describes methods for ascertaining the quality and contamination levels of waters from a range of sources like ground, surface, potable water supplies, marine, beaches, swimming pools and other recreational facilities, and domestic and industrial wastewater. It includes important derivatives used in the preparation of standard solutions, data analysis, interpretation and units of expressions of the results. It also discusses all major pollutants - their origins and impact on the environment and health - with the basic chemistry of their analysis and complete methodology explained systematically.

Chowdhury addresses fundamental issues of policy management in resource-based developing countries, by providing an extension of the existing 'Dutch Disease' theory and its applications to the developing country context. The impact of resources booms is of paramount importance for the developing economies. To date the analytical and empirical investigations of these issues have not been available. Essentially, this study will fill this gap. The book investigates the macroeconomic impact of a resources boom and the long-term growth implications of related policy choices with reference to Papua New Guinea. Like many other primary commodity exporting developing economies, Papua New Guinea experienced several short-lived export booms over the past two and a half decades, providing a fascinating case study of potential gains from resources booms and the accompanying complex problems of policy management. This study also incorporates a comparative study of resources boom and policy management issues between Papua New Guinea, Indonesia and Nigeria.

Ammi weaves the most beautiful saris but never gets to wear any of them. Her two little daughters decide to do something about it-break their piggy bank! But when there isn't enough money to buy Ammi a sari, the two girls must work together to find a solution. Will they be able to buy Ammi the gift she so deserves? With a text full of heart, and bright, cheerful artwork, this story brings readers into the home of a weaver's family in Kaithoon, India, where the creation of saris is an art form. The book includes a glossary of Indian terms and a note about the saris made in this region.

Most events and activities in today's world are ordinarily captured using photos, videos and other multimedia content. Such content has some limitation of storing data and fetching them effectively. Three-dimensional continuous PC animation is the most proper media to simulate these occasions and activities. This book focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies. The authors present recent advancements in multimedia systems as they relate to various application areas such as healthcare services and agriculture-related industries. The authors also discuss human-machine interface design, graphics modelling, rendering/animation, image/graphics techniques/systems and visualization. They then go on to explore multimedia content adaptation for interoperable delivery. Finally, the book covers cultural heritage, philosophical/ethical/societal/international issues, standards-related virtual technology and multimedia uses. This book is intended for computer engineers and computer scientists developing applications for multimedia and virtual reality and professionals working in object design and visualization, transformation, modelling and animation of the real world. Features: Focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies Offers opportunity for state-of-the-art approaches, methodologies and systems, and innovative use of multimedia-based emerging technology services in different application areas Discusses human-machine interface design, graphics modelling, rendering/animation, image/graphics techniques/systems and visualization Covers cultural heritage, philosophical/ethical/societal/international issues, standards-related virtual technology and multimedia uses Explores multimedia content adaptation for interoperable delivery and recent advancements in multimedia systems in context to various application areas such as healthcare services and agriculture-related fields Rajeev Tiwari is a Senior Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. Neelam Duhan is an Associate Professor in the Department of Computer Engineering at J. C. Bose University of Science and Technology, YMCA, Faridabad, India. Mamta Mittal has 18 years of teaching experience, and her research areas include data mining, big data, machine learning, soft computing and data structure. Abhineet Anand is a Professor in the Computer Science and Engineering Department at Chitkara University, Punjab, India. Muhammad Attique Khan is a lecturer of the Computer Science Department at HITEC University, Taxila, Pakistan.

This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

This book focuses on sustainability issues post COVID-19 outbreak, discusses ways to restrict global spread of the pandemic, and also how to survive holistically in the environment. It also discusses the economic impacts on the world due to the coronavirus outbreak. There is a strong need for monitoring and analysis of pandemics for sustainability like epidemic risk analysis by using pattern recognition or the mental health challenges during an outbreak. This book presents ways to find solutions and gives insights to explore innovative methods and predictive modeling techniques, such that masses are prevented from pandemics.

This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.

This book offers a wide, in-depth study of the gender-climate change-agriculture nexus. The crux of understanding these connections comprises gender equality and tools to measure gender discrimination, the evolution of the concept of gender inclusiveness and its concerns; and the need to address the same by formulating gender-inclusive policymaking. Despite the fact that more than 50 years have elapsed since gender concerns were included in explorations of this nexus, there is still ambiguity around the foundations, connections, and approaches for planning gender-inclusive climate policies. This book aims to clear that ambiguity by: * Being the first to explore exclusively this issue in detail. * Revealing how and why consideration of gender is so important for understanding how climate change impacts rural communities and agricultural systems globally. * Exploring every dimension of climate change (including belief systems and perceptions, knowledge, experience, coping strategies, adaptation, and mitigation strategies) and linking it to gender. It includes new theoretical and methodological approaches that go far beyond the household as the unit of analysis (using various approaches, including intersectional analysis). The book not only throws light on major themes of research, but also covers different methodologies ranging from review methods to mathematical models, conceptual frameworks and empirical analysis. It will be of wide interest to students, scholars, and researchers in gender studies, agriculture, climate change and rural development research, and also to practitioners, extension workers, and planners designing new climate-resilient practices.

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.