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Myconanotechnology
Myconanotechnology is a highly interdisciplinary science emerging at a fast pace and has garnered the attention of nanotechnologists, mycologists, biomedical experts, and agriculture scientists, among others. For the last decade, there has been tremendous progress in this field owing to its wider and more effective applications. In this book, the authors have attempted to discuss different evolving trends in medicine, food, agriculture, veterinary, environment, and textiles. Globally contributed by eminent authors and experts, the present book contains valuable chapters on the diverse aspects of Myconanotechnology and thus would be essential reading for academicians. This book will cater to the need of postgraduate and research students in fungal biology, microbiology, chemistry, nanotechnology, biotechnology, and pharmacology.
The Mungbean Genome
This book reports on the current global status of mungbean and its economic importance. Mungbean (Vigna radiata)—also called green gram—is an important food and cash crop in the rice-based farming systems of South and Southeast Asia, but is also grown in other parts of the world. Its short duration, low input requirement and high global demand make mungbean an ideal rotation crop for smallholder farmers. The book describes mungbean collections maintained by various organizations and their utilization, especially with regard to adapting mungbean to new environments. It provides an overview of the progress made in breeding for tolerance to biotic and abiotic stresses; nutritional quality enhancement including genomics approaches; and outlines future challenges for mungbean cultivation. In addition, genomic approaches to evaluating the evolutionary relationship between Vigna species and addressing questions concerning domestication, adaptation and genotype–phenotype relationships are also discussed
Developing Climate Resilient Grain and Forage Legumes
This edited book covers all aspects of grain legumes including negative impact of abiotic and biotic stresses under the changing global climate. It discusses the role of various subject disciplines ranging from plant breeding, genetics, plant physiology, molecular biology, and genomics to high-throughput phenotyping and other emerging technologies for sustaining global grain and fodder legume production to alleviate impending global food crises. The book offers strategies to ensure plant-based dietary protein security across the globe. It covers all major commercial legume crops used as food, feed and fodder. This book is targeted to graduate and postgraduate students, researchers, progressive farmers and policymakers to inform them of the importance of cultivating grain and fodder legumes for future global food and nutritional security and for maintaining sustainable ecosystem.
Nanomaterials and Environmental Biotechnology
Nanotechnology is considered as one of the emerging fields of science. It has applications in different biological and technological fields which deal with the science of materials at nanoscale (10-9). On the other hand, biotechnology is another field that deals with contemporary challenges. Nanobiotechnology fills the gap between these two fields. It merges physical, chemical, and biological principles in a single realm. This combination opens up new possibilities. At nanoscale dimensions, it creates precise nanocrystals and nanoshells. Integrated nanomaterials are used with modified surface layers for compatibility with living systems, improved dissolution in water, or biorecognition leadi...
Transactions on Computational Science XVII
The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, present...
Twin Support Vector Machines
This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.
