This is the first book to focus on IP over WDM optical networks. It not only summarizes the fundamental mechanisms and the recent development and deployment of WDM optical networks but it also details both the network and the software architectures needed to implement WDM enabled optical networks designed to transport IP traffic. The next generation network employing IP over optical networks is quickly emerging not only in the backbone but also in metro and access networks. Fiber optics revolutionizes the telecom and networking industry by offering enormous network capacity to sustain the next generation Internet growth. IP provides the only convergence layer in a global and ubiquitous Internet. So integrating IP and WDM to transport IP traffic over WDM enabled optical networks efficiently and effectively is an urgent yet important task. * Covers hot areas like traffic engineering, MPLS, peer-to-peer computing, IPv6. * Comprehensive overview of history, background and research. * Presents all requirements for a WDM optical network (enabling technologies, optical components, software architecture, management, etc.). * Performance studies and descriptions of experimental WDM optical networks guarantee the practical approach of the book. Technical engineers and network practitioners, designers and analysts, network managers and technical management personnel as well as first year graduate students or senior undergraduate students majoring in networking and/or network control and management will all find this indispensable.
TCP/IP Illustrated, Volume 1, Second Edition, is a detailed and visual guide to today?s TCP/IP protocol suite. Fully updated for the newest innovations, it demonstrates each protocol in action through realistic examples from modern Linux, Windows, and Mac OS environments. There?s no better way to discover why TCP/IP works as it does, how it reacts to common conditions, and how to apply it in your own applications and networks. Building on the late W. Richard Stevens? classic first edition, author Kevin R. Fall adds his cutting-edge experience as a leader in TCP/IP protocol research, updating the book to fully reflect the latest protocols and best practices. He first introduces TCP/IP?s core goals and architectural concepts, showing how they can robustly connect diverse networks and support multiple services running concurrently.
This highly illustrated, diagnostic guidebook provides a single comprehensive source of essential information to enable non-specialists to diagnose lymph node and related diseases with confidence. The text is didactic and practical, covering reactive as well as malignant conditions. Diagnosis of Lymphoproliferative Diseases approaches the disorders based on the WHO classification and is edited by members of the WHO panel for the classification of lymphomas. This second edition contains over 1000 high quality, digitised colour images and tables of essential criteria for each diagnosis. New features include: Full discussion of immunostaining, the core of modern diagnosis Variant forms and technical issues This authoritative guide is an essential reference for haematologists, haematopathologists, general pathologists, diagnostic histopathologists and oncologists.
The International Conference on Case-Based Reasoning (ICCBR) is the pree- nent international meeting on case-based reasoning (CBR). ICCBR 2003 (http://www.iccbr.org/iccbr03/)isthe?fthinthisseriesofbiennialinter- tional conferences highlighting the most signi?cant contributions to the ?eld of CBR.TheconferencetookplacefromJune23throughJune26,2003attheN- wegian University of Science and Technology in Trondheim, Norway. Previous ICCBR conferences have been held in Vancouver, Canada (2001), Seeon, G- many (1999), Providence, Rhode Island, USA (1997), and Sesimbra, Portugal (1995). Day 1 of ICCBR 2003, Industry Day, provided hands-on experiences utilizing CBR in cutting-edge knowledge-management applications (e.g., help-desks,- business, and diagnostics). Day 2 featured topical workshops on CBR in the healthsciences,theimpactoflife-cyclemodelsonCBRsystems,mixed-initiative CBR, predicting time series with cases, and providing assistance with structured vs. unstructured cases. Days 3 and 4 comprised presentations and posters on theoretical and applied CBR research and deployed CBR applications, as well as invited talks from three distinguished scholars: David Leake, Indiana University, H ́ ector Munoz-Avila, ̃ Lehigh University, and Ellen Rilo?, University of Utah. The presentations and posters covered a wide range of CBR topics of in- rest both to practitioners and researchers, including case representation, si- larity, retrieval, adaptation, case library maintenance, multi-agent collaborative systems, data mining, soft computing, recommender systems, knowledge ma- gement, legal reasoning, software reuse and music.
Microneedles explores the design, fabrication and use of microneedles for drug and vaccine delivery. This book discusses the contemporary status of the field, describing several areas in detail, including the distinct types of microneedles (dissolving, solid, coted, hollow and hydrogel-forming). The anatomy of the eye is also described to facilitate an understanding of microneedle-assisted ocular drug delivery. Finally, the book provides a detailed discussion of microneedle use in the field of diagnostics, with a chapter dedicated to the mathematical modeling of microneedle-mediated drug delivery. As microneedles can be used by research scientists in academia and in industry, this book will be ideal for regulatory scientists and graduate students who find the topic relevant to their area of study. Provides information for the design and fabrication of microneedles Discusses choice of materials, fabrication protocol, sterilization protocol and characterization Supplies the most up-to-date research on all aspects of microneedles
The 7th Edition of Gary Christian's Analytical Chemistry focuses on more in-depth coverage and information about Quantitative Analysis (aka Analytical Chemistry) and related fields. The content builds upon previous editions with more enhanced content that deals with principles and techniques of quantitative analysis with more examples of analytical techniques drawn from areas such as clinical chemistry, life sciences, air and water pollution, and industrial analyses.
A&P may be complicated, but learning it doesn't have to be! Anatomy & Physiology, 11th Edition uses a clear, easy-to-read approach to tell the story of the human body’s structure and function. Color-coded illustrations, case studies, and Clear View of the Human Body transparencies help you see the "Big Picture" of A&P. To jump-start learning, each unit begins by reviewing what you have already learned and previewing what you are about to learn. Short chapters simplify concepts with bite-size chunks of information. Conversational, storytelling writing style breaks down information into brief chapters and chunks of information, making it easier to understand concepts. 1,400 full-color photographs and drawings bring difficult A&P concepts to life and illustrate the most current scientific knowledge. UNIQUE! Clear View of the Human Body transparencies allow you to peel back the layers of the body, with a 22-page, full-color insert showing the male and female human body along several planes. The Big Picture and Cycle of Life sections in each chapter help you comprehend the interrelation of body systems and how the structure and function of these change in relation to age and development. Interesting sidebars include boxed features such as Language of Science and Language of Medicine, Mechanisms of Disease, Health Matters, Diagnostic Study, FYI, Sport and Fitness, and Career Choices. Learning features include outlines, key terms, and study hints at the start of each chapter. Chapter summaries, review questions, and critical thinking questions help you consolidate learning after reading each chapter. Quick Check questions in each chapter reinforce learning by prompting you to review what you have just read. UNIQUE! Comprehensive glossary includes more terms than in similar textbooks, each with an easy pronunciation guide and simplified translation of word parts — essential features for learning to use scientific and medical terminology! NEW! Updated content reflects more accurately the diverse spectrum of humanity. NEW! Updated chapters include Homeostasis, Central Nervous System, Lymphatic System, Endocrine Regulation, Endocrine Glands, and Blood Vessels. NEW! Additional and updated Connect It! articles on the Evolve website, called out in the text, help to illustrate, clarify, and apply concepts. NEW! Seven guided 3-D learning modules are included for Anatomy & Physiology.
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This book provides an exploration through the world of Bioinformatics Database Systems. The book summarizes the popular and innovative bioinformatics repositories currently available, including popular primary genetic and protein sequence databases, phylogenetic databases, structure and pathway databases, microarray databases and boutique databases. It also explores the data quality and information integration issues currently involved with managing bioinformatics databases, including data quality issues that have been observed, and efforts in the data cleaning field. Biological data integration issues are also covered in-depth, and the book demonstrates how data integration can create new repositories to address the needs of the biological communities. It also presents typical data integration architectures employed in current bioinformatics databases. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General data mining approaches are discussed, as well as specific data mining methodologies that have been successfully deployed in biological data mining applications. Two biological data mining case studies are also included to illustrate how data, query, and analysis methods are integrated into user-friendly systems. Aimed at researchers and developers of bioinformatics database systems, the book is also useful as a supplementary textbook for a one-semester upper-level undergraduate course, or an introductory graduate bioinformatics course. About the Authors Kevin Byron is a PhD candidate in the Department of Computer Science at the New Jersey Institute of Technology. Katherine G. Herbert is Associate Professor of Computer Science at Montclair State University. Jason T.L. Wang is Professor of Bioinformatics and Computer Science at the New Jersey Institute of Technology.
Kidney disease and cancer are frequent comorbidities that require specialized knowledge and expertise from both the nephrologist and the oncologist. Written by three pioneers in this growing subspecialty, Onco-Nephrology provides authoritative, definitive coverage of the mechanism and management of these two life-threatening diseases. This unique, single-volume resource covers current protocols and recommends management therapies to arrest kidney failure and allow oncologic treatments to continue and succeed. Addresses acute and chronic kidney diseases that develop from a variety of cancers. This includes direct kidney injury from the malignancy, paraneoplastic effects of the cancer, and various cancer agents used to treat the malignancy. Discusses key issues regarding kidney disease in patients with cancer, including conventional chemotherapeutic regimens and new novel therapies (targeted agents and immunotherapies) or the malignancies themselves that may promote kidney injury; patients with chronic kidney disease who acquire cancer unrelated to renal failure; and kidney transplantation, which has been shown to carry an increased risk of cancer. Contains dedicated chapters for each class of the conventional chemotherapeutic agents, targeted cancer agents, and cancer immunotherapies including the basic science, pathogenic mechanisms of injury, clinical manifestations, and treatment. Includes special chapters devoted to the individual classes of chemotherapies that relate to kidney disease for quick reference. Discusses increasingly complex problems due to more numerous and specialized anti-cancer drugs, as well as increased survival rates for both cancer and renal failure requiring long-term patient care. Covers anti-VEGF (antivascular endothelial growth factor) agents and cancer immunotherapies – treatments that are being recognized for adverse kidney effects. Utilizes a clear, logical format based on the ASN Core Curriculum for Onco-Nephrology, making this reference an excellent tool for board review, as well as a practical resource in daily practice.
The metal-catalyzed amination of aryl and alkenyl electrophiles has developed into a widely used methodology for the synthesis of natural products, active pharmaceutical ingredients, agricultural chemicals, and materials for molecular electronics. Copper catalysts promote the coupling of a wide range of nitrogen nucleophiles, including amines, amides, and heteroaromatic nitrogen compounds with aryl and alkenyl halides. The reactivity profile of copper catalysts is complementary to that of palladium catalysts in many cases. Copper catalysts are highly effective with less nucleophilic nitrogen nucleophiles, such as amides and azoles, whereas palladium catalysts are more effective with more nucleophilic amine nucleophiles. Copper is an attractive alternative to palladium due to its significantly lower cost. In addition, high activity palladium catalysts require expensive and often air-sensitive ligands, whereas the modern copper systems use relatively stable and inexpensive diamine or amino acid ligands. Copper-catalyzed C N coupling reactions are tolerant of a wide range of functional groups and have been applied to the synthesis of a variety of complex natural products. Significant work has also been done to understand the mechanism of these reactions. Current mechanistic understanding of these methodologies is covered in this monograph. The contents of the book are taken from the comprehensive review of the topic in the Organic Reactions series. Optimal experimental conditions for the amination of aryl and alkenyl halides with all classes of nitrogen nucleophiles are presented. Specific experimental procedures from the literature are provided for the major classes of copper-catalyzed C N coupling reactions. A tabular survey of all examples of Cu-catalyzed arylation and alkenylation of nitrogen nucleophiles is presented in 35 tables organized by nitrogen nucleophile and electrophilic coupling partner. The literature is covered through December 2015 and provides 300 recent citations to supplement the 680 citations of the original hardbound chapter. These latest literature references have been collected in separate sections according to the sequence of the tables in the tabular survey section. In each of the sections, the individual citations have been arranged in alphabetic order of the author names. Copper-Catalyzed Amination of Aryl and Alkenyl Electrophiles is intended to provide organic chemists with an accessible, but detailed, introduction to this important class of transformations.
Introduction to Forestry and Natural Resources, Second Edition, presents a broad, completely updated overview of the profession of forestry. The book details several key fields within forestry, including forest management, economics, policy, utilization and forestry careers. Chapters deal specifically with forest regions of the world, landowners, forest products, wildlife habitats, tree anatomy and physiology, and forest disturbances and health. These topics are ideal for undergraduate introductory courses and include numerous examples and questions for students to ponder. There is also a section dedicated to forestry careers. Unlike other introductory forestry texts, which focus largely on forest ecology rather than practical forestry concepts, this book encompasses the economic, ecological and social aspects, thus providing a uniquely balanced text. The wide range of experience of the contributing authors equips them especially well to identify missing content from other texts in the area and address topics currently covered in corresponding college courses. Covers the application of forestry and natural resources around the world with a focus on practical applications and graphical examples Describes basic techniques for measuring and evaluating forest resources and natural resources, including fundamental terminology and concepts Includes management policies and their influence at the local, national and international levels
Neurotrauma: A Comprehensive Textbook on Traumatic Brain Injury and Spinal Cord Injury aims to bring together the latest clinical practice and research in the filed of two forms of trauma to the central nervous system: namely traumatic brain injury (TBI) and spinal cord injury (SCI). Nationally, more 1.9 million Americans sustain a traumatic brain injury annually. In parallel, there are an estimate of 12,000 new cases of SCI in the United States annually. In addition, approximately 1.2 million people live with paralysis due to SCI. In recent years, dramatic advancements in the field have resulted in much improved outcomes for patients and higher standards of care. This volume details the latest research and clinical practice in the treatment of neurotrauma, in a comprehensive but easy-to-follow format. Neurotrauma is a valuable resource for any clinician involved in caring for TBI and SCI patients, clinical research professionals, researchers, medical and graduate students, and nurse specialists.
This book presents an overview of the chemistry, geology, toxicology and environmental impacts of arsenic, presenting information on relatively common arsenic minerals and their key properties. In addition, it includes discussions on the environmental impacts of the release of arsenic from mining and coal combustion. Although the environmental regulations of different nations vary and change over time, prominent International, North American, and European guidelines and regulations on arsenic will be reviewed. Includes information on recent environmental catastrophes (e.g. Bangladesh and China) A thorough discussion of the arsenic cycle, including the cosmological origin of arsenic Includes Appendices providing extensive glossary and measurement conversion tables
Dynamic Mechanical Analysis (DMA) is a powerful technique for understanding the viscoelastic properties of materials. It has become a powerful tool for chemists, polymer and material scientists, and engineers. Despite this, it often remains underutilized in the modern laboratory. Because of its high sensitivity to the presence of the glass transition, many users limit it to detecting glass transitions that can’t be seen by differential scanning calorimetry (DSC). This book presents a practical and straightforward approach to understanding how DMA works and what it measures. Starting with the concepts of stress and strain, the text takes the reader through stress–strain, creep, and thermomechanical analysis. DMA is discussed as both the instrument and fixtures as well as the techniques for measuring both thermoplastic and thermosetting behavior. This edition offers expanded chapters on these areas as well as frequency scanning and other application areas. To help the reader grasp the material, study questions have also been added. Endnotes have been expanded and updated. Features Reflects the latest DMA research and technical advances Includes case studies to demonstrate the use of DMA over a range of industrial problems Includes numerous references to help those with limited materials engineering background Demonstrates the power of DMA as a laboratory tool for analysis and testing
An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning. Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributions Explores how to use probabilistic models and inference for causal inference and decision making Features online Python code accompaniment
The past decade has been marked by the acceleration of our understanding of the molecular biology of cancer. Simultaneously, there have been increasing exigencies to diagnose, treat and follow cancer patients more economically. Biomarkers represent the marriage of science and economics. Biomarkers offer the potential to increase the precision of diagnosis, prognosis, and surveillance of urological malignancies. This issue presents the cutting-edge advances of biomarker technology to urologic oncology.
In the last decade there has been an explosion of interest in viral therapies for cancer. Viral agents have been developed that are harmless to normal tissues but selectively able to kill cancer cells. These agents have been endowed with additional selectivity and potency through genetic manipulation. Increasingly these viruses are undergoing evaluation in clinical trials, both as single agents and in combination with standard chemotherapy and radiotherapy. This book provides a comprehensive yet succinct overview of the current status of viral therapy of cancer. Chapters coherently present the advances made with individual agents and review the biological and clinical background to a range of viral therapies: structured to proceed from basic science at the bench to the patient’s bedside, they give an up-to-date and realistic evaluation of a therapy’s potential utility for the cancer patient. Presents state of the art knowledge on how viruses can be, and have been, used in novel therapeutic approaches for the treatment of cancer Describes the use of viruses as oncolytic agents, killing cells directly Editors are experts in the field, with experience of both laboratory and clinical research Viral Therapy of Cancer is essential reading for both basic scientists and clinicians with an interest in viral therapy and gene therapy.
Written by experienced clinicians for practicing physicians and other health care providers, this timely handbook presents today’s available information on cannabis and its uses in all areas of patient care. Medical Marijuana: A Clinical Handbook summarizes what is currently known about the positive and negative health impacts of cannabis, detailed pharmacological profiles of both THC and CBD, considerations for each medical specialty, treatment approaches used by practicing clinicians, and insights into the history of cannabis and the current regulatory environment in the United States. This concise, easy-to-navigate guide is an invaluable resource for physicians and residents, nurse practitioners, pharmacists, and other clinicians who seek reliable clinical guidelines in this growing area of health care.
Focusing on the new DSM-V classifications for addiction with an emphasis on CACREP, neuroscience, and treatment, this provocative, contemporary text is an essential reference for both students and practitioners wanting to gain a deeper understanding of those with addiction.
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