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Associative and endophytic nitrogen-fixing bacteria and cyanobacterial associations
Associative and Endophytic Nitrogen-fixing Bacteria and Cyanobacterial Associations This book is part of the seven-volume series that was launched a few years ago with the ambitious objectives of reviewing the field of nitrogen fixation from its earliest beginnings through the millennium change and of consolidating the relevant information - from fundamental to agricultural and environmental aspects – all in one place. Volume 5 covers the biology of bacteria that associate with n- leguminous plants. The subject matter includes a wide range of associations; it covers the bacterial species that associate either with the surface or within the tissues of grasses (often referred as plant growth-promoting rhizobacteria) and also the symbiotic associations that cyanobacteria form with fungi, algae, and both lower and higher plants. This volume does not deal with the Frankia-actinorhizal plant associations, which is the topic of Volume 6
Applications of Plant Metabolic Engineering
Written by leading international experts in the field of plant metabolic engineering, this book discusses, mainly, applications of plant metabolic engineering. Metabolic engineering, which is part of second generation biotechnology, has made several contributions at basic level as well as at conceptualising products ever since its emergence in the early 1980s. Applications resulting from metabolic engineering are expected to play a very important role in future for plant breeding, e.g. for improved resistance or improved traits concerning health promoting constituents, and production of fine chemicals such as medicines, flavors and fragrances.
Artificial Intelligence : Applications and innovations
It's about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control. Provides insight into prospective research and application areas related to industry and technology / Discusses industry- based inputs on success stories of technology adoption / Discusses technology applications from a research perspective in the field of AI / Provides a hands- on approach and case studies for readers of the book to practice and assimilate learning
Low-Dimensional Molecular Metals
Assimilating new research in the field of low-dimensional metals, this monograph provides a detailed overview of the current status of research on quasi-one- and two-dimensional molecular metals, describing normal-state properties, magnetic field effects, superconductivity, and the phenomena of interacting p and d electrons. It will be useful not only for frontier researchers with a broad interest in low-dimensional electronic and magnetic properties, but also for graduate students of solid-state physics and chemistry with some background knowledge of solid-state physics. It includes a number of fundamental and novel findings relating to the characteristics of these low-dimensional metals, which in future are likely to become standard material in textbooks on solid-state physics.
Air Pollution Modeling and Its Application XIX
The book is aimed at researchers and government policy makers who wish to keep abreast of the most recent developments in air pollution modelling and air quality issues. The book emphasizes the following key topics: 1. Local and urban scale modelling; 2. Regional and intercontinental modelling; 3. Data assimilation and air quality forecast; 4. Model assessment and verification; 5. Aerosols in the atmosphere; 6. Interactions between air quality and climate change; 7. Air quality and human health.
Advances in Land Remote Sensing : System, Modeling, Inversion and Application
It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications. The papers on remote sensing system evaluate the capabilities of different sensor systems for estimating key land surface variables and how they can best be improved and integrated effectively in the future.
