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Security without Obscurity: Frequently Asked Questions (FAQ) complements Jeff Stapleton's three other Security without Obscurity books to provide clear information and answers to the most commonly asked questions about information security (IS) solutions that use or rely on cryptography and key management methods. There are good and bad cryptography, bad ways of using good cryptography, and both good and bad key management methods. Consequently, information security solutions often have common but somewhat unique issues. These common and unique issues are expressed as an FAQ organized by related topic areas.The FAQ in this book can be used as a reference guide to help address such issues. Cybersecurity is based on information technology (IT) that is managed using IS controls, but there is information, misinformation, and disinformation. Information reflects things that are accurate about security standards, models, protocols, algorithms, and products. Misinformation includes misnomers, misunderstandings, and lack of knowledge. Disinformation can occur when marketing claims either misuse or abuse terminology, alluding to things that are inaccurate or subjective. This FAQ provides information and distills misinformation and disinformation about cybersecurity.This book will be useful to security professionals, technology professionals, assessors, auditors, managers, and hopefully even senior management who want a quick, straightforward answer to their questions. It will serve as a quick reference to always have ready on an office shelf. As any good security professional knows, no one can know everything.

This textbook and clinical guide is ideal for veterinary nurses and technicians in training. It offers a concise yet comprehensive resource for veterinary students and practitioners desiring a review of anesthesia and analgesia with step-by-step guidelines. A wealth of illustrations illustrate the theory in practice.

This book provides an updated description of the most relevant types of highly nonlinear fibers. It also describes some of their actual applications for nonlinear optical signal processing. Multiple types of highly nonlinear fibers are considered, such as silica-based conventional highly nonlinear fibers, tapered fibers, photonic crystal fibers, and fibers made of highly nonlinear materials, namely lead-silicate, tellurite, bismuth oxide, and chalcogenide glasses. Several nonlinear phenomena occurring on such highly nonlinear fibers are described and used to realize different functions in the area of all-optical signal processing.i Describes several nonlinear phenomena occurring on optical fibers, namely nonlinear phase modulation, parametric and stimulated scattering processes, optical solitons, and supercontinuum generation.i Discusses different types of highly nonlinear fibers, namely silica-based conventional highly nonlinear fibers, tapered fibers, and photonic crystal fibers.i Examines fibers made of highly nonlinear materials, namely lead-silicate, tellurite, bismuth oxide, and chalcogenide glasses.i Describes the application of several nonlinear phenomena occurring on highly nonlinear fibers to realize different functions in the area of all-optical signal processing, namely optical amplification, multiwavelength sources, pulse generation, optical regeneration, wavelength conversion, and optical switching.Mrio F. S. Ferreira received his PhD degree in 1992 in physics from the University of Aveiro, Portugal, where he is now a professor in the Physics Department. Between 1990 and 1991, he was at the University of Essex, UK, performing experimental work on external cavity semiconductor lasers and nonlinear optical fiber amplifiers. His research interests have been concerned with the modeling and characterization of multisection semiconductor lasers, quantum well lasers, optical fiber amplifiers and lasers, soliton propagation, nanophotonics, optical sensors, polarization, and nonlinear effects in optical fibers. He has written more than 400 scientific journal and conference publications and several books in the area of mathematical physics, optics, and photonics. He has served as chair and committee member of multiple international conferences, as well as guest editor and advisory board member of several international journals.

This book is an introduction to cancer treatment, the basics of radio- and chemotherapy, drug actions, the eradication of cancer cells, and the origins and persistence of pharmacological and toxicological effects of drugs. It further provides ideas for research based on knowledge of cancer metastasis, invasive and molecular pathways, and diagnosis and treatment. Many of the adaptive features of cancer biology, clinical features, pathology and treatment are reviewed. In addition to introducing the major themes and theories, the book also advances the current discussion by moving beyond explanations for clinical implementation. Key Selling Features:Reviews basic cancer treatmentsSummarizes chemotherapiesDiscusses radiotherapiesExamines pharmacological and toxicological approaches to treatment Introduces oncological drug development

This book is about infrastructure asset management, which can be expressed as the combination of management, financial, economic, and engineering, applied to physical assets with the objective of providing the required level of service in the most cost-effective manner. It includes management of the whole lifecycle of a physical asset from design, construction, commission, operation, maintenance, modification, decommissioning, and disposal. It covers budget issues and focuses on asset management of an infrastructure for energy-i.e., the electric power system.

"e;A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."e;-Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden"e;This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."e;-Daniel Barbara, George Mason University, Fairfax, Virginia, USA"e;The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts."e;-Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark"e;I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strengthOverall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."e;-David Clifton, University of Oxford, UK"e;The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book."e;a -Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK"e;This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learningThe book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."e;-Guangzhi Qu, Oakland University, Rochester, Michigan, USA

Introduction to Polymer Chemistry provides undergraduate students with a much-needed, well-rounded presentation of the principles and applications of natural, synthetic, inorganic, and organic polymers. With an emphasis on the environment and green chemistry and materials, this fourth edition continues to provide detailed coverage of natural and synthetic giant molecules, inorganic and organic polymers, elastomers, adhesives, coatings, fibers, plastics, blends, caulks, composites, and ceramics. Building on undergraduate work in foundational courses, the text fulfills the American Chemical Society Committee on Professional Training (ACS CPT) in-depth course requirement

Statistics for Finance develops students' professional skills in statistics with applications in finance. Developed from the authors' courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, ItA 's formula, the Black-Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students' financial reasoning skills.

This book presents lectures and seminars given at a Summer School, organized by the International College of Applied Physics, on the physics and technology and the industrial applications of high-power gas lasers.