A complete overview of sources of radioactive waste, this book highlights the issues involved in safe transportation and decontamination as well as in decommissioning of nuclear facilities. It covers radioactive decay and radiation shielding calculations, management and disposal of spent nuclear fuel and high level-waste, low-level waste, transuranic waste, Uranium mill tailings, and mixed waste. It discusses technical and regulatory aspects of waste management and provides a look at historical record and its influence on current policy.
As is well known, Pontryagin's maximum principle and Bellman's dynamic programming are the two principal and most commonly used approaches in solving stochastic optimal control problems. * An interesting phenomenon one can observe from the literature is that these two approaches have been developed separately and independently. Since both methods are used to investigate the same problems, a natural question one will ask is the fol lowing: (Q) What is the relationship betwccn the maximum principlc and dy namic programming in stochastic optimal controls? There did exist some researches (prior to the 1980s) on the relationship between these two. Nevertheless, the results usually werestated in heuristic terms and proved under rather restrictive assumptions, which were not satisfied in most cases. In the statement of a Pontryagin-type maximum principle there is an adjoint equation, which is an ordinary differential equation (ODE) in the (finite-dimensional) deterministic case and a stochastic differential equation (SDE) in the stochastic case. The system consisting of the adjoint equa tion, the original state equation, and the maximum condition is referred to as an (extended) Hamiltonian system. On the other hand, in Bellman's dynamic programming, there is a partial differential equation (PDE), of first order in the (finite-dimensional) deterministic case and of second or der in the stochastic case. This is known as a Hamilton-Jacobi-Bellman (HJB) equation.
The book includes a historical introduction to organometallic chemistry, a survey of mechanisms, and an extensive introduction to quantum mechanical computational methods.
Catalytic Kinetics: Chemistry and Engineering, Second Edition offers a unified view that homogeneous, heterogeneous, and enzymatic catalysis form the cornerstone of practical catalysis. The book has an integrated, cross-disciplinary approach to kinetics and transport phenomena in catalysis, but still recognizes the fundamental differences between different types of catalysis. In addition, the book focuses on a quantitative chemical understanding and links the mathematical approach to kinetics with chemistry. A diverse group of catalysts is covered, including catalysis by acids, organometallic complexes, solid inorganic materials, and enzymes, and this fully updated second edition contains a new chapter on the concepts of cascade catalysis. Finally, expanded content in this edition provides more in-depth discussion, including topics such as organocatalysis, enzymatic kinetics, nonlinear dynamics, solvent effects, nanokinetics, and kinetic isotope effects. Fully revised and expanded, providing the latest developments in catalytic kinetics Bridges the gaps that exist between hetero-, homo- and enzymatic-catalysis Provides necessary tools and new concepts for researchers already working in the field of catalytic kinetics Written by internationally-renowned experts in the field Examples and exercises following each chapter make it suitable as an advanced course book
Nanostructured Materials: Physicochemical Chemistry Fundamentals for Energy and Environmental Applications summarizes research knowledge and helps advanced students, researchers and industrial technicians understand specific applications of nanomaterials in energy and the environment. Sections bring a strong foundational focus on the physicochemical basis of nanomaterials for these applications, the basic theory and physicochemical basis of nanomaterials, an energy and environment applications examination of typical cases, and progress. This book will appeal to researchers in the chemical sciences (inorganic and physical chemistry, coordination chemistry, molecular dynamics, electrochemistry, photocatalysis, thermocatalysis, thermodynamics, etc.), nanoscience (graphene, carbon nanotubes, nanocrystals, nano catalysis, energy, and environment-nano science), and more. Efficient use of energy, eco-friendly environmental systems, and technologies play an important role in global sustainable development. Multifunctional nanocomposites have excellent properties and can meet the practical needs of energy development and environmental treatment. They have been gradually applied in chemical materials, energy preparation, pollution control and other fields and have achieved impressive development. Provides a unified overview of a large variety of different applications on the design and synthesis of nanomaterials with potential applications in various conventional and new energy and environmental technologies Provides a strong foundational focus on the analysis of the structure of nanomaterials, the basic principles of design (nanomaterial structure-activity relationship), and the theoretical basis of physical chemistry (theoretical basis of nanomaterial design and applications) Meets a need to summarize and examine ongoing research and advances in a rapidly developing field
This book is intended as a reference book for advanced graduate students and research engineers in block-in-matrix rocks (bimrocks) or soil and rock mixtures (SRMs) or rock and soil aggregate (RSA). Bimrocks are complex formations characterized by competent rock inclusions floating in a weaker matrix. Typical types of bimrocks include a series of mixed geological or engineering masses such as mélanges, fault rocks, coarse pyroclastic rocks, breccias, sheared serpentines, and waste dump mixture. Bimrock is especially different from the general soil and rock material, and the detection of the damage and fracture is still wide open to innovative research. Globally, there is a widespread interest in investigating the geomechanical behaviors of bimrocks, such as deformation and strength characteristics, damage and fracture evolution, and stability prediction of bimrock construction. However, the meso-structural factors control the whole mechanical properties of bimrocks; the source of the macroscopic deformation phenomenon is the meso-structural changes. Therefore, evaluation of the mesoscopic physical and mechanical properties, together with advanced testing technique, is an attractive research topic in rock mechanics. As a result, comprehensive macroscopic and mesoscopic experimental investigations should be conducted to reveal the damage and fracturing mechanical behaviors of bimrocks. The readers of this work can gain new insights into the meso-structural changes of bimrocks subjected to different stress paths. This book is expected to improve the understanding of the mesoscopic damage and fracturing mechanisms of bimrocks, and can be helpful to predict the stability of rock structures where rock mass is subjected to complex loading conditions.
This book is intended as a reference book for advanced graduate students and research engineers in rock mass structural mechanics related to civil engineering, mining, etc. The term of bimrocks (bimsoils, SRM, RSA) is used to describe the mixture of fine particles and larger blocks, such as mélanges, coarse pyroclastic rocks, breccias, colluviums and alluviums, fault rocks, and conglomerates, etc. Bimrock is especially different from the general soil and rock material, and the detection of the damage and fracture is still wide open to innovative research. Globally, there is widespread interest in investigating the geomechanical behaviors of bimrocks, such as deformation and strength characteristics, damage and fracture evolution and stability prediction of bimrock construction. However, the meso-structure factors control the whole mechanical properties of bimrocks, the source of the macroscopic deformation phenomenon is the meso-structural changes. During civil or mining engineering construction, the bimrock is often exposed to complex stress disturbance, such as environmental and human-induced loading acting on rock that is cyclic in nature. Typical forms of stress disturbance include blasting vibration, earthquake, excavation, drilling and vehicle loading, etc. Usually, the stress disturbance condition is inferred as a kind of dynamic loading and differs dramatically from those under static loads. Therefore, evaluation of the mesoscopic physical and mechanical properties, together with advanced testing technique, is attractive research topics in its fatigue mechanics. As a result, comprehensive macroscopic and mesoscopic experimental investigations should be conducted to reveal the damage and fracturing mechanical behaviors of bimrock exposed to cyclic and fatigue loads.
This book covers semiconductor memory technologies from device bit-cell structures to memory array design with an emphasis on recent industry scaling trends and cutting-edge technologies. The first part of the book discusses the mainstream semiconductor memory technologies. The second part of the book discusses the emerging memory candidates that may have the potential to change the memory hierarchy, and surveys new applications of memory technologies for machine/deep learning applications. This book is intended for graduate students in electrical and computer engineering programs and researchers or industry professionals in semiconductors and microelectronics. Explains the design of basic memory bit-cells including 6-transistor SRAM, 1-transistor-1-capacitor DRAM, and floating gate/charge trap FLASH transistor Examines the design of the peripheral circuits including the sense amplifier and array-level organization for the memory array Examines industry trends of memory technologies such as FinFET based SRAM, High-Bandwidth-Memory (HBM), 3D NAND Flash, and 3D X-point array Discusses the prospects and challenges of emerging memory technologies such as PCM, RRAM, STT-MRAM/SOT-MRAM and FeRAM/FeFET Explores the new applications such as in-memory computing for AI hardware acceleration.
The most complete book available on scanning probe lithography (SPL), this work details the modalities, mechanisms, and current technologies, applications, and materials on which SPL can be performed. It provides a comprehensive overview of this simple and cost-effective technique, which does not require clean room conditions and can be performed in any lab or industry facility to achieve high-resolution and high-quality patterns on a wide range of materials: biological, semiconducting, polymers, and 2D materials. • Introduces historical background of SPL, including evolution of the technique and tools • Explains the mechanism of sample modification/manipulation, types of AFM tips, technical parts of the experimental setup, and materials on which the technique can be applied • Shows the different types of devices and structures fabricated by SPL, together with the processing steps • Contains a complete and state-of-the art package of examples and different approaches, performed by different international research groups • Summarizes strengths, limitations, and potential of SPL This book is aimed at advanced students, technicians, and researchers in materials science, microelectronics, and others working with lithographic techniques and fabrication processes.
Sodium-Ion Batteries An essential resource with coverage of up-to-date research on sodium-ion battery technology Lithium-ion batteries form the heart of many of the stored energy devices used by people all across the world. However, global lithium reserves are dwindling, and a new technology is needed to ensure a shortfall in supply does not result in disruptions to our ability to manufacture reliable, efficient batteries. In Sodium-Ion Batteries: Energy Storage Materials and Technologies, eminent researcher and materials scientist Yan Yu delivers a comprehensive overview of the state-of-the-art in sodium-ion batteries (SIBs), including their design principles, cathode and anode materials, electrolytes, and binders. The author discusses high-performance rechargeable sodium-ion battery technology in the contexts of energy, power density, and electrochemical stability for commercialization. Exploring a wide range of literature on the recent progress made by researchers on sodium-ion battery technology, the book provides valuable perspectives on designing better materials for SIBs to unlock their practical capabilities. A thorough introduction to sodium-ion batteries, including their key materials and likely future developments Comprehensive explorations of design principles of electrode materials and electrolytes for sodium-ion batteries Practical discussions of cathode materials for sodium-ion batteries, including transition metal oxides, polyanionic compounds, Prussian blue analogues and organic compounds In-depth examinations of anode materials for sodium-ion batteries, including carbon-based materials, metal chalcogenides, metal alloys, phosphorus and Na metal anodes Perfect for materials scientists, inorganic chemists, electrochemists, and physical chemists, Sodium-Ion Batteries: Energy Storage Materials and Technologies will also earn a place in the libraries of catalytic and polymer chemists.
This book presents the development of an optimization platform for geotechnical engineering, which is one of the key components in smart geotechnics. The book discusses the fundamentals of the optimization algorithm with constitutive models of soils. Helping readers easily understand the optimization algorithm applied in geotechnical engineering, this book first introduces the methodology of the optimization-based parameter identification, and then elaborates the principle of three newly developed efficient optimization algorithms, followed by the ideas of a variety of laboratory tests and formulations of constitutive models. Moving on to the application of optimization methods in geotechnical engineering, this book presents an optimization-based parameter identification platform with a practical and concise interface based on the above theories. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.
This book is about the design and control of biomimetic underwater robots. It explains the six aspects of the underwater biomimetic vehicle- manipulator system in detail and provides practical examples. This book is the authors’ long-term exploration of the theoretical and technical issues in the development of the underwater biomimetic vehicle-manipulator system and is written based on more than 15 years of scientific research and practical experience. This book is a helpful reference for the researchers, engineers, master and Ph.D. students in the field of biomimetic underwater robots.
Put the world’s most well-known kidney reference to work in your practice with the 11th Edition of Brenner & Rector’s The Kidney. This two-volume masterwork provides expert, well-illustrated information on everything from basic science and pathophysiology to clinical best practices. Addressing current issues such as new therapies for cardiorenal syndrome, the increased importance of supportive or palliative care in advanced chronic kidney disease, increasing live kidney donation in transplants, and emerging discoveries in stem cell and kidney regeneration, this revised edition prepares you for any clinical challenge you may encounter. Extensively updated chapters throughout, providing the latest scientific and clinical information from authorities in their respective fields. Lifespan coverage of kidney health and disease from pre-conception through fetal and infant health, childhood, adulthood, and old age. Discussions of today’s hot topics, including the global increase in acute kidney injury, chronic kidney disease of unknown etiology, cardiovascular disease and renal disease, and global initiatives for alternatives in areas with limited facilities for dialysis or transplant. New Key Points that represent either new findings or "pearls" of information that are not widely known or understood. New Clinical Relevance boxes that highlight the information you must know during a patient visit, such as pertinent physiology or pathophysiology. Hundreds of full-color, high-quality photographs as well as carefully chosen figures, algorithms, and tables that illustrate essential concepts, nuances of clinical presentation and technique, and clinical decision making. A new editor who is a world-renowned expert in global health and nephrology care in underserved populations, Dr. Valerie A. Luyckx from University of Zürich. Board review-style questions to help you prepare for certification or recertification.
This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle systems. By integrating object detection, semantic segmentation, trajectory prediction, multi-object tracking, multi-sensor fusion, and reliability control in a systematic way, this book is aimed at guaranteeing that intelligent vehicles can run safely in complex road traffic scenes. Adopts the multi-sensor data fusion-based neural networks to environmental perception fault tolerance algorithms, solving the problem of perception reliability when some sensors fail by using data redundancy. Presents the camera-based monocular approach to implement the robust perception tasks, which introduces sequential feature association and depth hint augmentation, and introduces seven adaptive methods. Proposes efficient and robust semantic segmentation of traffic scenes through real-time deep dual-resolution networks and representation separation of vision transformers. Focuses on trajectory prediction and proposes phased and progressive trajectory prediction methods that is more consistent with human psychological characteristics, which is able to take both social interactions and personal intentions into account. Puts forward methods based on conditional random field and multi-task segmentation learning to solve the robust multi-object tracking problem for environment perception in autonomous vehicle scenarios. Presents the novel reliability control strategies of intelligent vehicles to optimize the dynamic tracking performance and investigates the completely unknown autonomous vehicle tracking issues with actuator faults.
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.
It has been adapted into comic:Ferocious Princess / Refusing the Tyrant's Favor:the Fierce PrincessShe was a talented agent with near-perfect physical fitness and professional skills. Unexpectedly, she failed in a dangerous task, and when she was in the dangerous time between life ang death, she suddenly passed through ancient times.The emperor fell in love with her because of her special, and wanted to give her supreme favor and glory. Educated by modern thoughts, She cannot accept that her husband has multiple wives andwanted to leave and become a free girl. What happened later changed her mind? Why did she willingly accompany him and never leave?☆About the Author☆Yu Le Tou Tiao, an excellent author of an Internet novel. Her novel Ferocious Princess has attracted a lot of attention. The novel has ups and downs and a fresh writing.
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int
This book offers a comprehensive overview of recent theoretical studies on rhodium-catalyzed C-H functionalization, a topic that has attracted considerable attention over the years. It includes a brief experimental history, elementary reactions, and theoretical perspectives and describes in detail recent advanced computational studies on different types of Rh-catalyzed C-H functionalization, the underlying mechanisms, and the origin of regioselectivity in a series of such reactions. Providing examples shows readers how to use theoretical tools to solve problems related to mechanisms of organometallic reactions. As such, the book is an interesting and useful resource for a wide readership in various fields involving synthetic organic, organometallic, and catalysis reactions.
Based on the authors' expansive collection of notes taken over the years, Nano-CMOS Circuit and Physical Design bridges the gap between physical and circuit design and fabrication processing, manufacturability, and yield. This innovative book covers: process technology, including sub-wavelength optical lithography; impact of process scaling on circuit and physical implementation and low power with leaky transistors; and DFM, yield, and the impact of physical implementation.
Widely used in adsorption, catalysis and ion exchange, the family of molecular sieves such as zeolites has been greatly extended and many advances have recently been achieved in the field of molecular sieves synthesis and related porous materials. Chemistry of Zeolites and Related Porous Materials focuses on the synthetic and structural chemistry of the major types of molecular sieves. It offers a systematic introduction to and an in-depth discussion of microporous, mesoporous, and macroporous materials and also includes metal-organic frameworks. Provides focused coverage of the key aspects of molecular sieves Features two frontier subjects: molecular engineering and host-guest advanced materials Comprehensively covers both theory and application with particular emphasis on industrial uses This book is essential reading for researches in the chemical and materials industries and research institutions. The book is also indispensable for researches and engineers in R&D (for catalysis) divisions of companies in petroleum refining and the petrochemical and fine chemical industries.
Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage. Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates. Explains how to model battery systems, including equivalent, electrical circuit and electrochemical nernst modeling Includes comprehensive coverage of battery state estimation methods, including state of charge estimation, energy prediction, power evaluation and health estimation Provides a dedicated chapter on active control strategies
This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.
This book discusses the roles of nanostructures and nanomaterials in the development of battery materials for state-of-the-art electrochemical energy storage systems, and provides detailed insights into the fundamentals of why batteries need nanostructures and nanomaterials. It explores the advantages offered by nanostructure electrode materials, the challenges of using nanostructured materials in batteries, as well as the rational design of nanostructures and nanomaterials to achieve optimal battery performance. Further, it closely examines the latest advances in the application of nanostructures and nanomaterials for future rechargeable batteries, including high-energy and high-power lithium ion batteries, lithium metal batteries (Li-O2, Li-S, Li-Se, etc.), all-solid-state batteries, and other metal batteries (Na, Mg, Al, etc.). It is a valuable reference resource for readers interested in or involved in research on energy storage, energy materials, electrochemistry and nanotechnology.
Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. In this book, we provide a comprehensive survey of current developments in HG representation learning. More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning.
Overcome the toughest clinical challenges in nephrology with the new 9th edition of Brenner/Rector’s The Kidney! A brand-new editorial team of Drs. Maarten W. Taal, Glenn M. Chertow, Philip A. Marsden, Karl Skorecki, Alan S. L. Yu, and Barry M. Brenner,, together with a diverse list of international contributors bring you the latest knowledge and best practices on every front in nephrology worldwide. Brand-new sections on Global Considerations in Nephrology and Pediatric Nephrology, as well as new chapters on recent clinical trials, cardiovascular and renal risk prediction in chronic kidney disease, identification of genetic causes of kidney disease, and many others, keep you at the forefront of this rapidly growing, ever-changing specialty. Brenner/Rector remains the go-to resource for practicing and training nephrologists and internists who wish to master basic science, pathophysiology, and clinical best practices. Broaden your knowledge base with expert, dependable, comprehensive answers for every stage of your career from the most comprehensive, definitive clinical reference in the field! Prepare for certification or recertification with a review of the basic science that underpins clinical nephrology as well as a comprehensive selection of the most important bibliographical sources in nephrology. Visually grasp and better understand critical information with the aid of over 700 full-color high-quality photographs as well as carefully chosen figures, algorithms, and tables to illustrate essential concepts, nuances of clinical presentation and technique, and decision making. Get internationally diverse, trusted guidance and perspectives from a team of well-respected global contributors, all of whom are at the top and the cutting edge of your field. A new editorial team headed by Dr. Taal and hand-picked by Dr. Brenner ensures the ongoing adherence to previous standards of excellence. Access information quickly thanks to a new, reorganized format and supplemental figures, tables, additional references, and expanded discussions. Keep current with the rapid development of care and research worldwide. A new section, "Global Considerations", focuses on regions outside Europe and North America. Leading experts from Latin America, Africa, Near and Middle East, Indian Subcontinent, Far East, Oceania and Australia present their expert insights into specific conditions, as well as progress and challenges in the development of the specialty. Improve therapy and outcomes for children with renal disease. New to this edition, "Pediatric Nephrology" addresses renal pathologies that usually present in childhood and covers topics such as Maturation of Kidney Structure and Function; Fluid; Electrolyte and Acid-Base Disorders in Children; Diseases of the Kidney and Urinary Tract in Children; Dialysis in Children; and Kidney Transplantation in Children. Stay up to date with all the latest clinical information including recent clinical trials, genetic causes of kidney disease, and cardiovascular and renal risk prediction in chronic kidney disease.
The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009. The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.
In semiconductor manufacturing, understanding how various materials behave and interact is critical to making a reliable and robust semiconductor package. Semiconductor Packaging: Materials Interaction and Reliability provides a fundamental understanding of the underlying physical properties of the materials used in a semiconductor package. By tying together the disparate elements essential to a semiconductor package, the authors show how all the parts fit and work together to provide durable protection for the integrated circuit chip within as well as a means for the chip to communicate with the outside world. The text also covers packaging materials for MEMS, solar technology, and LEDs and explores future trends in semiconductor packages.
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