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This book analyzes poverty and the mechanisms that lead to it in ethnic rural areas in China using macro- and micro-examinations as well as field studies. It identifies new poverty situations and poverty alleviation in China's ethnic areas and discusses the shortcomings of current poverty alleviation policies, while also making concrete policy suggestions to promote effective poverty alleviation in these regions.

This book provides a thorough introduction to the essential topics in modern materials science. It brings together the spectrum of materials science topics, spanning inorganic and organic materials, nanomaterials, biomaterials, and alloys within a single cohesive and comprehensive resource. Synthesis and processing techniques, structural and crystallographic configurations, properties, classifications, process mechanisms, applications, and related numerical problems are discussed in each chapter. End-of-chapter summaries and problems are included to deepen and reinforce the reader's comprehension.Provides a cohesive and comprehensive reference on a wide range of materials and processes in modern materials science;Presents material in an engaging manner to encourage innovative practices and perspectives;Includes chapter summaries and problems at the end of every chapter for reinforcement of concepts.

This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.

This book presents recent advances in pattern analysis of the human connectome. The human connectome, measured by magnetic resonance imaging at the macroscale, provides a comprehensive description of how brain regions are connected. Based on machine learning methods, multiviarate pattern analysis can directly decode psychological or cognitive states from brain connectivity patterns. Although there are a number of works with chapters on conventional human connectome encoding (brain-mapping), there are few resources on human connectome decoding (brain-reading). Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications, this book helps students and researchers gain an overall picture of pattern analysis of the human connectome. It also offers valuable insights for clinicians involved in the clinical diagnosis and treatment evaluation of neuropsychiatric disorders.

The book focuses on the thermal transformations of various types of metal chelates, e.g. low molecular weight and polymeric metal chelates, coordination polymers and metal-organic frameworks. It analyzes the major advances and the problems in the preparation of metal oxide materials, mixed-oxide nanocomposites, carbon materials and polymer derived non-oxide nanocomposites by the thermolysis of different metal chelates. It also highlights the influence of the spatial and electronic structure of metal chelates on the mechanism and kinetics of their thermal transformations, and discusses important issues like conjugate thermolysis and computer modelling of the thermolysis process. This book is useful for researchers experienced in thermolysis as well as for young scientists interested in this area of science.

This book provides in-depth knowledge about the fabrications, structures, properties and applications of three outstanding electrochemically engineered nanoporous materials including porous silicon, nanoporous alumina and nanotubular titania. The book integrates three major themes describing these materials. The first theme is on porous silicon reviewing the methods for preparation by electrochemical etching, properties and methods for surface functionalization relevant for biosensing applications. Biomedical applications of porous silicon are major focus, described in several chapters reviewing recent developments on bioanalysis, emerging capture probes and drug delivery. The second theme on nanoporous alumina starts with describing the concept of self-organized electrochemical process used for synthesis nanopore and nanotube structures of valve metal oxides and reviewing recent development and progress on this field. The following chapters are focused mainly on optical properties and biosensing application of nanoporous alumina providing the reader with the depth of understanding of the structure controlled optical and photonic properties and design of optical biosensing devices using different detection principles such as photoluminescence, surface plasmon resonance, reflective spectrometry, wave guiding, Raman scattering etc. The third theme is focused on nanotubular titania reviewing three key applications including photocatalysis, solar cells and drug delivery. The book represents an important resource for academics, researchers, industry professionals, post-graduate and high-level undergraduate students providing them with both an overview of the current state-of-the-art on these materials and their future developments.

There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad.This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.