Ecometabolomics: Metabolic Fluxes versus Environmental Stoichiometry focuses on the interaction between plants-particularly plants that have vigorous secondary metabolites-and the environment. The book offers a comprehensive overview of the responses of the metabolome of organisms to biotic and abiotic environmental changes. It includes an introduction to metabolomics, summaries of metabolomic techniques and applications, studies of stress in plants, and insights into challenges. This is a must-have reference for plant biologists, plant biochemists, plant ecologists and phytochemists researching the interface between plants and the environment using metabolomics.A concise reference on the structural composition and function of microbial communities in coastal environments, especially in relation to natural and anthropogenic impacts. Microbial Communities in Coastal Sediments presents twenty years of coastal microbiology research, grounding it as a vital development in the field of microbial ecology. It is the first book to focus exclusively on the complex microbial ecology and its function in rest of the marine environment. The book outlines the structure, function, and assessment of microbial communities in marine sediments while exploring practical methods of assessment. It is an invaluable resource to aquatic microbiologists, marine ecologists, marine microbiologists, aquatic researchers, and graduate students in this field. Microbial Communities in Coastal Sediments begins with an examination of nutrient sources in the coastal context with a focus on organic matter inputs. The quantity and quality of organic matter in coastal sediments and their impacts on the composition and formation of microbial communities is discussed. The book explores the consequences of anthropogenic changes and human activity on microbial ecology and nutrient cycling. Sections on nutrient availability, green house gas production and biodegradation of persistent organic pollutants provide essential details. Molecular research techniques and methods for assessing microbial community structure and function in coastal sediments are also covered.Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools for assisting the diagnosis and treatment of patients with brain disorders. Machine Learning: Methods and Applications to Brain Disorders provides an up-to-date overview of how these methods can be applied to brain disorders, including both psychiatric and neurological disease. This book is written for a non-technical audience, such as neuroscientists, psychologists, psychiatrists, neurologists and health care practitioners.Bionanocomposites: Green Synthesis and Applications provides an in-depth study on the synthesis of a variety of bionanocomposites from different types of raw materials. In addition, the book offers an overview on the synthesis and applications of environmentally friendly bionanocomposites, with an emphasis on bionanocomposites of natural products. Final sections focus on various characterization techniques, their production, and the future prospects of sustainable bionanocomposites.Enzymes Conjugated to Graphene, Volume 609 in the Methods in Enzymology series, highlights new advances in the field, with this new volume presenting interesting chapters on Enzyme immobilization, Detection of Urea, Enzyme immobilization Enzyme immobilization, PAMAM dendrimer modified reduced graphene oxide post functionalized by horseradish peroxidase for biosensing H2O2, HRP immobilized for LEV detection, Enzyme immobilization, Graphene biocatalysts, Enzyme immobilization, Interactions, Enzyme immobilization, GQD, Enzyme Immobilization, and Enzyme immobilization on functionalized graphene oxide nanosheets.Goal Oriented Methodology and Applications in Nuclear Power Plants: A Modern Systems Reliability Approach presents the latest data and research on the modern system reliability approach by GO methodology to improve the quality and reliability of nuclear power plants (NPP). Quality and reliability are two key factors which are critical to the economic success of NPPs, hence this book provides a comprehensive and systematic analysis of the latest data and research illustrated through the provision of examples and solutions, applications and problems to test comprehension. Authors Xiao-Jian, Jian and Hui-Na systematically illustrate reliability modeling, analysis, optimization allocation and assessment, and their applications in NPPs. This book, without assuming prior knowledge, presents all required information in an accessible and easily applied style. It will be particularly valuable to engineering and reliability professionals, nuclear engineering graduate students, reliability engineering specialists and nuclear energy researchers.
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