Millets are diverse small-seeded crops which are resilient to climatic stress, pests, and diseases. These can be grown in rainfed conditions with minimal agricultural inputs. These are considered nutritionally superior to other major cereals like rice, wheat, and maize as they contain a significant amount of protein, dietary fibre, and minerals. Today, millets are recognized and considered as integral components of a sustainable food system. Millets have low glycaemic index and are beneficial for diabetics. Millet protein is devoid of gluten, making them a better option than wheat for patients with gluten sensitivity. Millets: Cultivation, Processing, and Utilization covers information on taxonomy, morphology, germplasm accessions, cultivation practices, harvesting methods, threshing, cleaning, storage, milling, structural and engineering properties, nutritional and anti-nutritional values, health benefits, food applications, by-products, non-food applications, quality standards, and prospects in millet processing. This book's sixteen in-depth chapters give readers complete information on all facets of millet cultivation, processing, and use. It is a unique compilation of information on millets from farm to fork and beyond. This book will be useful for students, researchers, farmers, and entrepreneurs in understanding millets and their applications. It has been compiled by experts in the field and can serve as a guidance document for the stakeholders.
This book will be a potential addition to the scientific literature on recent advancements in agriculture, meat science technology, food safety, dairy technology, cereal science, nanotechnology, waste utilization and quality assurance of food and functional foods. Also, the content of book is designed systematically to include significant and scientific research and advancement for new product development and advanced knowledge on nutritional attributes of the dairy and cereal based products. This book will be an important reference material for students, researchers and academicians dealing with different aspects of foods.
Zoonotic diseases pose a serious threat to global health and economy. Domestic and wild birds play crucial roles in transmission and spread of important zoonotic pathogens, with significant implications on human and avian health. Although zoonotic diseases have been extensively studied, information on various aspects of avian zoonotic pathogens have not been revisited or revised to any great extent. This book is a comprehensive and updated compilation of important zoonotic diseases that are transmitted by domestic and wild birds, and consists of 21 chapters that meticulously describe the (i) etiology and evolution, (ii) complex epidemiology, such as migration pathways in context of disease transmission, (iii) pathogenesis, (iv) clinical signs and necropsy findings, (v) diagnostics including latest molecular assays, and (vi) preventative and control strategies, with an emphasis on therapeutics and prophylaxis, of important zoonotic pathogens (bacterial, fungal, parasitic and viral) of avian origin in humans and birds. Each chapter is aptly supported by interactive tables and figures, and features an updated reference section. This book aims to create awareness and enlighten students of veterinary and human medicine on the role of birds in zoonoses, and would serve as a useful reference for working veterinarians, human doctors, and public health experts.
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion models Short, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of models Streamlined presentation separates critical ideas from background context and extraneous detail Minimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessible Programming exercises offered in accompanying Python Notebooks
This book will be a potential addition to the scientific literature on recent advancements in agriculture, meat science technology, food safety, dairy technology, cereal science, nanotechnology, waste utilization and quality assurance of food and functional foods. Also, the content of book is designed systematically to include significant and scientific research and advancement for new product development and advanced knowledge on nutritional attributes of the dairy and cereal based products. This book will be an important reference material for students, researchers and academicians dealing with different aspects of foods.
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