Materials Science and Technology: A Comprehensive Treatment: Corrosion and Environmental Degradation, Volumes I+II By
2000 | 1082 Pages | ISBN: 3527299718 | PDF | 27 MB
Corrosion and corrosion protection is one of most important topics in applied materials science. Corrosion science is not only important from an economic point of view, but, due to its interdisciplinary nature combining metallurgy, materials physics and electrochemistry, it is also of high scientific interest. Nowadays corrosion science even gets new impetus from surface science and polymer chemistry. This two-volume reference work belonging to the well renown series Materials Science and Tehcnology provides the reader with a sound and broad survey on the whole subject - from the fundamentals to the latest research results. Written by a team of international top-experts it will become an indispensable reference for any materials scientist, physicist or chemist involved in corrosion science. Content: Chapter 1 Phenomenological and Electrochemical Fundamentals of Corrosion (pages 1-66): Hans?Henning StrehblowChapter 2 Fundamentals of High Temperature Corrosion (pages 67-130): Michael SchutzeChapter 3 Passivity of Metals and Alloys (pages 131-169): Philippe Marcus and Vincent MauriceChapter 4 Microbial Corrosion (pages 171-205): Wolfgang SandChapter 5 Environment Sensitive Fracture (pages 207-263): Thierry Magnin and Pierre CombradeChapter 6 Effect of Multiphase Flow on Corrosion (pages 265-284): Madan Gopal and W. Paul JepsonChapter 7 Novel Electrochemical Techniques in Corrosion Research (pages 285-381): Guido Grundmeier, Klaus?Michael Juttner and Martin StratmannChapter 8 Cathodic and Anodic Protection (pages 383-470): Romuald Juchniewicz, Jezmar Jankowski and Kazimierz DarowickiChapter 9 Environmentally Friendly Corrosion Inhibitors (pages 471-537): Erika Kalman, Ilona Felhosi, Franciska H. Karman, Istvan Lukovits, Judit Telegdi and Gabor PalinkasChapter 1 Corrosion of Steels (pages 1-68): Michael HagenChapter 2 Corrosion of Non?Ferrous Alloys. I. Nickel?, Cobalt?, Copper?, Zirconium?and Titanium?Based Alloys (pages 69-111): Raul B. RebakChapter 3 Corrosion of Non?Ferrous Alloys. II. Aluminum?Based Alloys (pages 113-130): Osami SeriChapter 4 Corrosion of Non?Ferrous Alloys. III. Magnesium Alloys (pages 131-171): Guangling Song and Andrejs AtrensChapter 5 High?Temperature Corrosion of Metallic Alloys and Coatings (pages 173-228): Brian GleesonChapter 6 High?Temperature Oxidation and Corrosion of Intermetallics (pages 229-325): M. P. Brady, B. A. Pint, P. F. Tortorelli, I. G. Wright and R. J. Hanrahan Jr.Chapter 7 Corrosion of Ceramic Materials (pages 327-388): Elizabeth J. Opila and Nathan S. JacobsonChapter 8 Corrosion of Steel in Concrete (pages 389-436): B. ElsenerChapter 9 Corrosion Engineering of Electronic and Photonic Devices (pages 437-467): R. B. Comizzoli, R. P. Frankenthal and J. D. SinclairChapter 10 Degradation and Stabilization of Polymers (pages 469-507): N. C. Billingham

Mastering System Identification in 100 Exercises By Johan Schoukens, Rik Pintelon, Yves Rolain(auth.)
2012 | 277 Pages | ISBN: 0470936983 | PDF | 10 MB
Systems identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Mastering System Identification in 100 Exercises takes readers step by step through a series of MATLAB exercises that teach how to measure and model linear dynamic systems in the presence of nonlinear distortions from a practical point of view. Each exercise is followed by a short discussion illustrating what lessons can be learned by the reader.The book, with its learn-by-doing approach, also includes:State-of-the-art system identification methods, with both time and frequency domain system identification methods?including the pros and cons of eachSimple writing style with numerous examples and figuresDownloadable author-programmed MATLAB files for each exercise?with detailed solutionsLarger projects that serve as potential assignmentsCovering both classic and recent measurement and identifying methods, this book will appeal to practicing engineers, scientists, and researchers, as well as master's and PhD students in electrical, mechanical, civil, and chemical engineering.Content: Chapter 1 Identification (pages 1-27): Chapter 2 Generation and Analysis of Excitation Signals (pages 29-53): Chapter 3 FRF Measurements (pages 55-90): Chapter 4 Identification of Linear Dynamic Systems (pages 91-136): Chapter 5 Best Linear Approximation of Nonlinear Systems (pages 137-181): Chapter 6 Measuring the Best Linear Approximation of a Nonlinear System (pages 183-238): Chapter 7 Identification of Parametric Models in the Presence of Nonlinear Distortions (pages 239-254):

Mastering Palo Alto Networks:
Build, configure, and deploy network solutions for your infrastructure using features of PAN-OS, 2nd Edition
English | 2022 | ISBN: 1803241411 | 636 Pages | PDF EPUB (True) | 84 MB

Master Data Management in Practice: Achieving True Customer MDM By Dalton Cervo, Mark Allen(auth.)
2011 | 257 Pages | ISBN: 0470910550 | PDF | 4 MB
In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.Content: Chapter 1 Defining Your MDM Scope and Approach (pages 7-28): Chapter 2 Establishing Effective Ownership (pages 29-38): Chapter 3 Priming the MDM Engine (pages 39-63): Chapter 4 Data Governance (pages 65-94): Chapter 5 Data Stewardship (pages 95-110): Chapter 6 Data Quality Management (pages 111-140): Chapter 7 Data Access Management (pages 141-161): Chapter 8 Data Maintenance and Metrics (pages 163-190): Chapter 9 Maturing Your MDM Model (pages 191-199): Chapter 10 Creating the Customer 360° View (pages 201-214): Chapter 11 Surviving Organizational Change (pages 215-223): Chapter 12 Beyond Customer MDM (pages 225-236):

Marvel Year by Year: A Visual History, New Edition by Tom DeFalco, Peter Sanderson, Tom Brevoort, Matthew K. Manning, Stephen Wiacek
English | July 26th, 2022 | ISBN: 0744054516 | 400 pages | True EPUB | 415.51 MB
A new edition of the most comprehensive history of Marvel Comics ever published.

Markov Processes: Characterization and Convergence By Stewart N. Ethier, Thomas G. Kurtz(auth.)
2005 | 550 Pages | ISBN: 0471081868 | PDF | 13 MB
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "[A]nyone who works with Markov processes whose state space is uncountably infinite will need this most impressive book as a guide and reference." -American Scientist "There is no question but that space should immediately be reserved for [this] book on the library shelf. Those who aspire to mastery of the contents should also reserve a large number of long winter evenings." -Zentralblatt fur Mathematik und ihre Grenzgebiete/Mathematics Abstracts "Ethier and Kurtz have produced an excellent treatment of the modern theory of Markov processes that s useful both as a reference work and as a graduate textbook." -Journal of Statistical Physics Markov Processes presents several different approaches to proving weak approximation theorems for Markov processes, emphasizing the interplay of methods of characterization and approximation. Martingale problems for general Markov processes are systematically developed for the first time in book form. Useful to the professional as a reference and suitable for the graduate student as a text, this volume features a table of the interdependencies among the theorems, an extensive bibliography, and end-of-chapter problems. Content: Chapter 1 Operator Semigroups (pages 6-48): Chapter 2 Stochastic Processes and Martingales (pages 49-94): Chapter 3 Convergence of Probability Measures (pages 95-154): Chapter 4 Generators and Markov Processes (pages 155-274): Chapter 5 Stochastic Integral Equations (pages 275-305): Chapter 6 Random Time Changes (pages 306-336): Chapter 7 Invariance Principles and Diffusion Approximations (pages 337-364): Chapter 8 Examples of Generators (pages 365-385): Chapter 9 Branching Processes (pages 386-409): Chapter 10 Genetic Models (pages 410-451): Chapter 11 Density Dependent Population Processes (pages 452-467): Chapter 12 Random Evolutions (pages 468-491):

Prof. David Little, Dr. Constant Leung, Piet Van Avermaet, "Managing Diversity in Education: Languages, Policies, Pedagogies"
English | 2013 | pages: 326 | ISBN: 1783090804, 1783090790 | PDF | 3,0 mb
Diversity - social, cultural, linguistic and ethnic - poses a challenge to all educational systems. Some authorities, schools and teachers look upon it as a problem, an obstacle to the achievement of national educational goals, while for others it offers new opportunities. Successive PISA reports have laid bare the relative lack of success in addressing the needs of diverse school populations and helping children develop the competences they need to succeed in society. The book is divided into three parts that deal in turn with policy and its implications, pedagogical practice, and responses to the challenge of diversity that go beyond the language of schooling. This volume features the latest research from eight different countries, and will appeal to anyone involved in the educational integration of immigrant children and adolescents.

Management of Chemical and Biological Samples for Screening Applications By
2012 | 420 Pages | ISBN: 352732822X | PDF | 5 MB
Filling an obvious gap in the scientific literature, this practice-oriented reference is the first to tie together the working knowledge of large screening centers in the pharmaceutical and biotechnological field. It spans the entire fi eld of this emerging discipline, from compound acquisition to collection optimization for specific purposes, to technology and quality control. In so doing, it applies two decades of expertise gathered by several large pharmaceutical companies to current and future challenges in high-throughput screening. With its treatment of libraries of small molecules as well as biobanks containing biomolecules, microorganisms and tissue samples, this reference is universally applicable for any molecular scientist involved in a large screening program.Content: Chapter 1 Introduction to Sample Management (pages 1-7): William P. Janzen and Andy ZaayengaChapter 2 Generating a High?Quality Compound Collection (pages 9-21): Philip B. Cox and Anil VasudevanChapter 3 Assessing Compound Quality (pages 23-44): Ioana Popa?Burke, Stephen Besley and Zoe BlaxillChapter 4 Delivering and Maintaining Quality within Compound Management (pages 45-58): Isabel CharlesChapter 5 Obtaining and Maintaining High?Quality Tissue Samples: Scientific and Technical Considerations to Promote Evidence?Based Biobanking Practice (EBBP) (pages 59-81): Lisa B. MirandaChapter 6 Thinking Lean in Compound Management Laboratories (pages 83-105): Michael AllenChapter 7 Application of Supply Management Principles in Sample Management (pages 107-120): Paul A. GosnellChapter 8 Solid Sample Weighing and Distribution (pages 121-142): Michael Gray and Snehal BhattChapter 9 Managing a Global Biological Resource of Cells and Cellular Derivatives (pages 143-164): Frank P. Simione and Raymond H. CypessChapter 10 Development of Automation in Sample Management (pages 165-197): Gregory J. WendelChapter 11 Applications of Acoustic Technology (pages 199-219): Eric Tang, Colin Bath and Sue Holland?CrimminChapter 12 Enhancing Biorepository Sample Integrity with Automated Storage and Retrieval (pages 221-242): Johann van NiekerkChapter 13 Information Technology Systems for Sample Management (pages 243-263): Brian BrooksChapter 14 Key Features of a Compound Management System (pages 265-273): Clive BattleChapter 15 What Does an HTS File of the Future Look Like? (pages 275-304): Francois BertelliChapter 16 New Enabling Technology (pages 305-350): Neil Hardy, Ji Yi Khoo, Shoufeng Yang, Holger Eickhoff, Joe Olechno and Richard EllsonChapter 17 The Impact of Future Technologies within Biobanking (pages 351-366): Manuel M. Morente, Laura Cereceda and Maria J. ArtigaChapter 18 Outsourcing Sample Management (pages 367-379): Sylviane Boucharens and Amelia Wall WarnerChapter 19 Sample Management Yesterday and Tomorrow (pages 381-391): Dr. Terry Wood and Dr. Mark Wigglesworth

Machine Learning for Finance: Principles and practice for financial insiders
by Jannes Klaas
English | 2019 | ISBN: 1789136369 | 456 Pages | PDF (True) | 9 MB

Loss Models: From Data to Decisions, Third Edition By Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot(auth.)
2008 | 734 Pages | ISBN: 0470187816 | PDF | 22 MB
Written by three renowned authorities in the actuarial field, Loss Models, Third Edition upholds the reputation for excellence that has made this book required reading for the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) qualification examinations. This update serves as a complete presentation of statistical methods for measuring risk and building models to measure loss in real-world events. This book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. Features of the Third Edition include: Extended discussion of risk management and risk measures, including Tail-Value-at-Risk (TVaR) New sections on extreme value distributions and their estimation Inclusion of homogeneous, nonhomogeneous, and mixed Poisson processes Expanded coverage of copula models and their estimation Additional treatment of methods for constructing confidence regions when there is more than one parameter The book continues to distinguish itself by providing over 400 exercises that have appeared on previous SOA and CAS examinations. Intriguing examples from the fields of insurance and business are discussed throughout, and all data sets are available on the book's FTP site, along with programs that assist with conducting loss model analysis. Loss Models, Third Edition is an essential resource for students and aspiring actuaries who are preparing to take the SOA and CAS preliminary examinations. It is also a must-have reference for professional actuaries, graduate students in the actuarial field, and anyone who works with loss and risk models in their everyday work. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep. Content: Chapter 1 Modeling (pages 1-7): Chapter 2 Random Variables (pages 9-19): Chapter 3 Basic Distributional Quantities (pages 21-50): Chapter 4 Characteristics of Actuarial Models (pages 51-60): Chapter 5 Continuous Models (pages 61-100): Chapter 6 Discrete Distributions and Processes (pages 101-159): Chapter 7 Multivariate Models (pages 161-177): Chapter 8 Frequency and Severity with Coverage Modifications (pages 179-197): Chapter 9 Aggregate Loss Models (pages 199-268): Chapter 10 Discrete?Time Ruin Models (pages 269-276): Chapter 11 Continuous?Time Ruin Models (pages 277-311): Chapter 12 Review of Mathematical Statistics (pages 313-330): Chapter 13 Estimation for Complete Data (pages 331-342): Chapter 14 Estimation for Modified Data (pages 343-371): Chapter 15 Parameter Estimation (pages 373-439): Chapter 16 Model Selection (pages 441-471): Chapter 17 Estimation and Model Selection for More Complex Models (pages 473-502): Chapter 18 Five Examples (pages 503-523): Chapter 19 Interpolation and Smoothing (pages 525-554): Chapter 20 Credibility (pages 555-640): Chapter 21 Simulation (pages 641-664):