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Atomic Astrophysics and Spectroscopy
Spectroscopy enables the precise study of astronomical objects and phenomena. Bridging the gap between physics and astronomy, this is the first integrated graduate-level textbook on atomic astrophysics. It covers the basics of atomic physics and astrophysics, including state-of-the-art research applications, methods and tools. The content is evenly balanced between the physical foundations of spectroscopy and their applications to astronomical objects and cosmology. An undergraduate knowledge of physics is assumed, and relevant basic material is summarized at the beginning of each chapter. The material is completely self-contained and features sufficient background information for self-study. Advanced users will find it handy for spectroscopic studies. A website hosted by the authors contains updates, corrections, exercises and solutions, as well as news items from physics and astronomy related to spectroscopy. A link to this can be found at www.cambridge.org/9780521825368.
Postgraduate Medicine
VOLUME 1 SECTION 1: CLINICAL MEDICINE SECTION 2: GENERAL MEDICINE SECTION 3: INFECTIOUS DISEASES SECTION 4: CRITICAL CARE VOLUME 2 SECTION 5: CARDIOLOGY SECTION 6: ENDOCRINOLOGY AND METABOLIC DISORDERS SECTION 7: GASTROENTEROLOGY SECTION 8: HEMATOLOGY AND ONCOLOGY VOLUME 3 SECTION 9: NEPHROLOGY SECTION 10: NEUROLOGY SECTION 11: PULMONARY MEDICINE AND TUBERCULOSIS SECTION 12: RHEUMATOLOGY
Teacher Education
None
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.
Biosurfactants for a Sustainable Future
Biosurfactants for a Sustainable Future Explore the state-of-the-art in biosurfactant technology and its applications in environmental remediation, biomedicine, and biotechnology Biosurfactants for a Sustainable Future explores recent developments in biosurfactants and their use in a variety of cutting-edge applications. The book opens a window on the rapid development of microbiology by explaining how microbes and their products are used in advanced medical technology and in the sustainable remediation of emerging environmental contaminants. The book emphasizes the different techniques that are used for the production of biosurfactants from microorganisms and their characterization. Various...
Bioprospecting of Microorganism-Based Industrial Molecules
Discover a comprehensive and current overview of microbial bioprospecting written by leading voices in the field In Bioprospecting of Microorganism-Based Industrial Molecules, distinguished researchers and authors Sudhir P. Singh and Santosh Kumar Upadhyay deliver global perspectives of bioprospecting of biodiversity. The book covers diverse aspects of bioprospecting of microorganisms demonstrating biomass value of nutraceutical, pharmaceutical, biomedical, and bioenergetic importance. The authors present an amalgamation of translational research on bioresource utilization and ecological sustainability that will further the reader’s knowledge of the applications of different microbial dive...
Chemical Processes for a Sustainable Future
This comprehensive book approaches sustainability from two directions, the reduction of pollution and the maintaining of existing resources, both of which are addressed in a thorough examination of the main chemical processes and their impact. Divided into five sections, each introduced by a leading expert in the field, the book takes the reader through the various types of chemical processes, demonstrating how we must find ways to lower the environmental cost (of both pollution and contributions to climate change) of producing chemicals. Each section consists of several chapters, presenting the latest facts and opinion on the methodologies being adopted by the chemical industry to provide a more sustainable future. A follow-up to Materials for a Sustainable Future (Royal Society of Chemistry 2012), this book will appeal to the same broad readership - industrialists and investors; policy makers in local and central governments; students, teachers, scientists and engineers working in the field; and finally editors, journalists and the general public who need information on the increasingly popular concepts of sustainable living.
Nanoscience Volume 3
None
Advanced Engineering Optimization Through Intelligent Techniques
This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.
