الصفحة 122
الصفحة 122
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Beginning ASP .NET 2.0 E-Commerce in C# 2005 : From novice to professional

This title enables readers to learn how to build a complete e-commerce web site, following the entire design and build process. The website will be constructed following industry best practices in a modular manner, with a new module introduced and completed in each chapter.

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Beginning Ajax with PHP : From novice to professional

Beginning Ajax with PHP: From Novice to Professional is the first book to introduce how these two popular technologies can work together to create next-generation applications. Author Lee Babin covers what you commonly encounter in daily web application development tasks.

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Becoming citizens in a changing world : IEA international civic and citizenship education study 2016 International Report

Presents the results from the second cycle of the IEA International Civic and Citizenship Education Study (ICCS 2016). Using data from 24 countries in Asia, Europe and Latin America, the study investigates the ways in which young people are prepared to undertake their roles as citizens in a range of countries in the second decade of the 21st century. It also responds to the enduring and emerging challenges of educating young people in a world where contexts of democracy and civic participation continue to change. New developments of this kind include the increase in the use of social media by young people as a tool for civic engagement, growing concerns about global threats and sustainable development, as well as the role of schools in fostering peaceful ways of interaction between young people. Besides enabling the evaluation of a wide range of aspects of civic and citizenship education, including those related to recent developments in a number of countries, the inclusion of test and questionnaire material from the first cycle of the study in 2009 allows the results from ICCS 2016 to be used to examine changes in civic knowledge, attitudes and engagement over seven years.

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Becoming an urban physics and math teacher : Infinite potential

What happens as beginning urban teachers transition through their first few years in the classroom? This book captures one teacher's journey through the first three years of teaching science and mathematics in a large urban district in the US. The authors focus on Ian's agency as a beginning teacher and explore his success in working with diverse students. Using critical ethnography combined with first-person narrative, they investigate Ian's teaching practices in four contexts: his student teaching experience, his work with students on a summer curriculum development project, his first year of teaching in a small, urban high school, and his second year of teaching in a large, comprehensive high school. In each field, the authors describe the structural changes Ian encounters and the ways in which he re-utilizes the practices he used successfully in previous fields.

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Becoming a world-class university : The case of King Abdulaziz University

This book written by international experts in the field of educational innovation is a guide for universities to become world-class universities. It contributes to the current international intellectual debate on the future of higher education. It also tells the story of King Abdulaziz University in Jeddah (Saudi Arabia) and its effort to become a world-class university. The book discusses excellence in different aspects such as education, research, community services, strategic planning, knowledge economy and international cooperation.

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Becoming a teacher educator : Theory and practice for teacher educators

It is the first book that addresses a range of important topics related to the work of teacher educators, the induction of teacher educators and their further professional development.Becoming a Teacher Educator has a practical focus and it provides theoretical insights, experiences of experts and practical recommendations. The book is rooted in the Association of Teacher Education in Europe (ATEE) and many of the chapters are written by authors who are active members of the ATEE. Distinguished researchers and practitioners from different parts of Europe, and beyond, joined their efforts to write a book that is truly international and combines research, practice and reflection.

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Beauty’s Appeal : Measure and Excess

Beauty fulfils human existence. As it registers in our aesthetic experience, beauty enhances nature’s enchantment around us and our inward experience lifting our soul toward moral elevation. Carried by creative imagination (Imaginatio Creatrix), beauty participates in the moulding of the forms of the intellective constitution of the mind in tandem with praxis and seeks deeper enigmas of the real in the labyrinth of the cosmos. Yet with the evolution of human development and in technological inventions, beauty, while suffusing all modalities of experience, seems to undergo transformations and expansion. Are there perduring norms and modalities of beauty or are we carried along blindly by human development? Is there a measure intrinsic to our human ontopoietic unfolding and the growth of human life that we may follow instead of the whim of fancy and excess? The present collection of art-explorations seeks the elemental ties of Human Condition. Together, the authors aim to answer the questions posed above.

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Bearing Witness : Ruth Harrison and British Farm Animal Welfare (1920–2000)

This book is the biography of one of Britain’s foremost animal welfare campaigners and of the world of activism, science, and politics she inhabited. In 1964, Ruth Harrison’s bestseller Animal Machines triggered a gear change in modern animal protection by popularising the term ‘factory farming’ alongside a new way of thinking about animal welfare.

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Beam Instrumentation and Diagnostics

This treatise covers all aspects of the design and the daily operations of a beam diagnostic system for a large particle accelerator. A very interdisciplinary field, it involves contributions from physicists, electrical and mechanical engineers and computer experts alike so as to satisfy the ever-increasing demands for beam parameter variability for a vast range of operation modi and particles. The author draws upon 40 years of research and work, most of them spent as the head of the beam diagnostics group at GSI. He has illustrated the more theoretical aspects with many real-life examples that will provide beam instrumentation designers with ideas and tools for their work.

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Bayesian reliability

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses--algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward.

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Bayesian networks and Influence diagrams : A guide to construction and analysis

Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty.

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Bayesian Networks and Decision Graphs

Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis. The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams.It contians two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems.

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Bayesian Methods in the Search for MH370

This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.

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Bayesian core : A practical approach to computational Bayesian statistics

This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models.

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Battery management systems : Accurate state-of-charge indication for battery-powered applications

Builds further on the contents of the first volume in the Philips Research Book Series, Battery Management Systems - Design by Modelling. Since the subject of battery SoC indication requires a number of disciplines, this book covers all important disciplines starting from (electro)chemistry to understand battery behaviour, via mathematics to enable modelling of the observed battery behaviour and measurement science to enable accurate measurement of battery variables and assessment of the overall accuracy, to electrical engineering to enable an efficient implementation of the developed SoC indication system. It will therefore serve as an important source of information for any person working in engineering and involved in battery management.

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Basics of fluid mechanics and introduction to computational fluid dynamics

Brings together the theoretical basics of fluid dynamics with a systemaic overview of the appropriate numerical and computational methods for solving the problems presented in the book. Also, effective codes for a majority of the examples are included.

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Basics of Aerothermodynamics

The discrete numerical methods of aerodynamics/aerothermodynamics permit now - what was twenty years ago not imaginable - the simulation of high speed flows past real flight vehicle configurations with thermo-chemical and viscous effects, the description of the latter being still handicapped by in sufficient flow-physics models.

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Basic theoretical physics : A concise overview

This concise treatment embraces, in four parts, all the main aspects of theoretical physics (I . Mechanics and Basic Relativity, II. Electrodynamics and Aspects of Optics, III. Non-relativistic Quantum Mechanics, IV. Thermodynamics and Statistical Physics). It summarizes the material that every graduate student, physicist working in industry, or physics teacher should master during his or her degree course. It thus serves both as an excellent revision and preparation tool, and as a convenient reference source, covering the whole of theoretical physics. It may also be successfully employed to deepen its readers' insight and add new dimensions to their understanding of these fundamental concepts. Recent topics such as holography and quantum cryptography are included, thus making this a unique contribution to the learning material for theoretical physics.

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Basic Real Analysis

Basic Real Analysis and Advanced Real Analysis (available separately or together as a Set) systematically develop those concepts and tools in real analysis that are vital to every mathematician, whether pure or applied, aspiring or established. These works present a comprehensive treatment with a global view of the subject, emphasizing the connections between real analysis and other branches of mathematics.

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Basic Python for Data Management, Finance, and Marketing : Advance Your Career by Learning the Most Powerful Analytical Tool

Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. You will: Get started with Python from square one / Extend what's possible on excel with Python / Automate tasks with Python / Analyze data more precisely

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