Providing comprehensive coverage on biofuel crop production and the technological, environmental and resource issues associated with a sustainable biofuel industry, this book is ideal for researchers and industry personnel. Beginning with an introduction to biofuels and the challenges they face, the book then includes detailed coverage on crops of current importance or with high future prospects, including sections on algae, sugar crops and grass, oil and forestry species. The chapters foc...

Every place has a story. And sometimes, the story starts with a name.Have you heard of the fifty runaway sons of a sage who built a new land called Andhra? Or of a ruler named Vanga, whose kingdom by the mighty waters came to be known as West Bengal? What about the land of Jharkhand, named for the deep bond its people have with the forest?Filled twenty-eight fascinating stories filled with gods, goddesses, warriors and adventures, Name, Place, Magic!

This book critically summarizes the effects of various suitable alloying elements and particulate reinforcements on mechanical and degradation properties of pure Mg and Mg alloys targeting biomedical applications. The suitability of alloying elements and particulate reinforcements are discussed based on their levels of toxic effects on human body. First attempt is made to study and discuss on the various available synthesizing techniques for fabrication of both impermeable and porous Mg ma...

Using India as a case study, this well-written, concise book covers everything one needs to know to understand how a country becomes internationally competitive. Showing that reforms that pertain to the real sector alone, such as industrial deregulation and trade reforms, are not enough to enhance a country's competitiveness, this book makes a compelling case for complimentary financial sector reforms. Of interest to academics studying international trade, industrial economics and developm...

Exploring Plant Peptide Potentials offers an in-depth overview of the latest research on these functional molecules, emphasizing their diverse biological roles and growing relevance across disciplines. The book brings together insights into their discovery, mechanisms, and applications to deepen understanding and inspire future research.Plant peptides are key regulators of growth, development, defense, and stress responses, and they show considerable promise in pharmaceutical, nutraceutica...

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Fea...

The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data.Explains the design of organized, semi-structured, unstructured, and irregular time seri...

This book addresses some key strategic questions related to agriculture in the context of major contemporary developments and emerging challenges in Nepal such as the changing role of agriculture with economic growth, structural transformation in reducing poverty, improving nutritional outcomes, and addressing the challenges of climate change. The book also suggests policy measures to improve the delivery of critical inputs and services and ensure the participation of marginal and smallhol...

This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model parameters. The main emphasis of this monograph is to start with an assumed covariate model in combination with some standard ANOVA set-ups such as CRD, R...

Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions is a comprehensive guide that explores the role of hydroinformatics in managing peri-urban watersheds amidst challenges such as climate change and urbanization.Leveraging artificial intelligence, data science, and Internet of Things, this book presents innovative strategies for optimal management of natural resources. The book uniquely combines theory and case studies to illustrate the application of data s...

Natural Language Processing (NLP) is transforming mental health care by enabling early detection, diagnosis, and intervention for conditions such as depression, PTSD, and suicidal ideation. Advanced AI models like BioBERT and Med-BERT help analyze speech patterns, cognitive behaviors, and psychological markers to support medical practitioners in providing more effective and timely care. By leveraging deep learning and AI-driven assessments, NLP can enhance behavioral monitoring, improve tr...

A number of driving forces, including the soaring global crude oil prices and environmental concerns in both developed and developing nations has triggered a renewed interest in the recent years on the R&D of biofuel crops. In this regard, many countries across the globe are investing heavily in the bioenergy sector for R&D to increase their energy security and reduce their dependence on imported fossil fuels. Currently, most of the biofuel requirement is met by sugarcane in Brazil and cor...