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Contestation and Adaptation: The Politics of National Identity in China

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Enze Han, "Contestation and Adaptation: The Politics of National Identity in China"
2013 | ISBN-10: 0199936293 | 240 pages | PDF | 13 MB

Contestation and Adaptation: The Politics of National Identity in China
Contestation and Adaptation unravels the complexities of national-identity contestation among various ethnic minority groups in China. It focuses on the interactions between domestic and international forces that inform ethnic groups' national-identity contestation, positing a theoretical framework where international factors play a significant role in determining why and when ethnic groups will contest the national identities imposed on them by central governments as part of the nation-building process.

Simmering grievances and occasional outbursts of social unrest among ethnic minority populations in China challenge not only the ruling party's legitimacy and governance, but also contemporary Chinese national identity and the territorial integrity of the Chinese state. But, as Enze Han points out, of the fifty-five ethnic minority groups in China, only the Tibetans and Uyghurs have forcefully contested the idea of a Chinese national identity. He argues that whether ethnic groups contest those national identities depends on whether they perceive a better, achievable alternative. In particular, Han argues that ethnic groups with extensive external kinship networks are most likely to perceive a capacity to achieve better circumstances and are, therefore, more likely to politically mobilize to contest national identity. In the absence of such alternatives ethnic groups are more likely to cope with their situation through emigration, political ambivalence, or assimilation. Using this theoretical framework, the book compares the way that five major ethnic minority groups in China negotiate their national identities with the Chinese nation-state: Uyghurs, Chinese Koreans, Dai, Mongols, and Tibetans. Overall, Contestation and Adaptation sheds light on the nation-building processes in China over the past six decades and the ways that different groups have resisted or acquiesced in their dealings with the Chinese state and majority Han Chinese society.
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Real Essays with Readings with 2009 MLA Update: Writing Projects for College, Work, and Everyday Life, 3 edition

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Susan Anker, "Real Essays with Readings with 2009 MLA Update: Writing Projects for College, Work, and Everyday Life, 3 edition"
English | ISBN: 0312607555 | 2015 | 944 pages | PDF | 13 MB

Real Essays with Readings with 2009 MLA Update: Writing Projects for College, Work, and Everyday Life, 3 edition
Real Essays with Readings is the essay-level book in Susan Anker’s highly successful series of writing texts that motivate students with their message that writing is an essential skill in college and in real life — and that this skill is achievable. Anker’s advice, examples, and assignments show the relevance of writing to all aspects of students’ lives, and profiles of former students prove that success is attainable. Like all the books in the Anker series, Real Essays presents writing in logical, manageable increments: step-by-step writing guides and a focus on the "four basics" of each mode of writing keep students from becoming overwhelmed. Real Essays maintains its emphasis on what really matters by focusing on the four most serious errors (fragments, run-ons, subject-verb agreement problems, and verb form problems). Real Essays gives students what they need to succeed in college and become stronger academic writers.
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Don’t Wait for the Next War: A Strategy for American Growth and Global Leadership

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Wesley K. Clark, "Don't Wait for the Next War: A Strategy for American Growth and Global Leadership"
2014 | ISBN-10: 161039433X | 272 pages | PDF, EPUB | 5 + 1 MB

Don’t Wait for the Next War: A Strategy for American Growth and Global Leadership
With the end of the Cold War came not the end of history, but the end of America's sense of its strategic purpose in the world. Then, after a decade of drift, the US was violently dragged back into international conflict. Its armed forces responded magnificently but its leaders' objectives were substantially flawed. We fought the wrong war-twice-for reasons that were opaque, and few American citizens understood the cause for which their sons and daughters were fighting and dying.

War is a poor substitute for strategic vision, and decisions made in the heat of imminent conflict are often limited by the emotions of the moment. In Don't Wait for the Next War, Wesley K. Clark, a retired four-star general of the US army and former Democratic candidate for president, presents a compelling argument for continued American global leadership and the basis on which it can succeed-a new American strategy. America needs both new power and deeper perspective. The platform for American leadership is to use America's energy resources to spark sustainable economic growth, building new strength to deal with pressing domestic issues like the deficit as well as the longer term challenges to US security-terrorism, cyber threats, the next financial crisis, China's rising power, and climate change.

Such a strategy is not only achievable but essential, and it is urgently needed. This is the true test of American leadership for the next two decades, but it must start now, so America has the power and vision to deal with the acute crises that will inevitably come-in the Mideast, Europe, or Asia.
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Don’t Wait for the Next War: A Strategy for American Growth and Global Leadership

FREEDownload : Don’t Wait for the Next War: A Strategy for American Growth and Global Leadership

Wesley K. Clark, "Don't Wait for the Next War: A Strategy for American Growth and Global Leadership"
2014 | ISBN-10: 161039433X | 272 pages | PDF, EPUB | 5 + 1 MB

Don’t Wait for the Next War: A Strategy for American Growth and Global Leadership
With the end of the Cold War came not the end of history, but the end of America's sense of its strategic purpose in the world. Then, after a decade of drift, the US was violently dragged back into international conflict. Its armed forces responded magnificently but its leaders' objectives were substantially flawed. We fought the wrong war-twice-for reasons that were opaque, and few American citizens understood the cause for which their sons and daughters were fighting and dying.

War is a poor substitute for strategic vision, and decisions made in the heat of imminent conflict are often limited by the emotions of the moment. In Don't Wait for the Next War, Wesley K. Clark, a retired four-star general of the US army and former Democratic candidate for president, presents a compelling argument for continued American global leadership and the basis on which it can succeed-a new American strategy. America needs both new power and deeper perspective. The platform for American leadership is to use America's energy resources to spark sustainable economic growth, building new strength to deal with pressing domestic issues like the deficit as well as the longer term challenges to US security-terrorism, cyber threats, the next financial crisis, China's rising power, and climate change.

Such a strategy is not only achievable but essential, and it is urgently needed. This is the true test of American leadership for the next two decades, but it must start now, so America has the power and vision to deal with the acute crises that will inevitably come-in the Mideast, Europe, or Asia.
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An Elementary Introduction to Statistical Learning Theory

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Sanjeev Kulkarni and Gilbert Harman, "An Elementary Introduction to Statistical Learning Theory"
English | ISBN: 0470641835 | 2011 | 234 pages | PDF | 3 MB

An Elementary Introduction to Statistical Learning Theory
A thoughtprovoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upperundergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.
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An Elementary Introduction to Statistical Learning Theory

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Sanjeev Kulkarni and Gilbert Harman, "An Elementary Introduction to Statistical Learning Theory"
English | ISBN: 0470641835 | 2011 | 234 pages | PDF | 3 MB

An Elementary Introduction to Statistical Learning Theory
A thoughtprovoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upperundergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.
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Easy Luxury: An expert guide to creating your perfect home

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Easy Luxury: An expert guide to creating your perfect home by Darren Palmer
English | 2014 | ISBN: 1743438702 | 160 pages | EPUB | 72 MB

Easy Luxury: An expert guide to creating your perfect home
Shoestring Luxury is a sourcebook of stylish and achievable ways to create a luxury look in your home – on a budget. Lavishly illustrated with photographs of Darren's own interior design projects, ranging from apartments to larger family homes, it provides key styling ideas that will help you get the most out of a space and create a big impact for a realistic investment of time, energy and money. Whether you are styling a new home, getting a property ready to sell, or simply redecorating, Shoestring Luxury provides budget-conscious design tips and solutions for creating a home that encompasses a luxe, designer aesthetic while still embodying comfort. The book moves from large-scale practicalities and planning through to the elements of design, and takes a detailed look at styling room by room (and the goals, opportunities and potential pitfalls involved).
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“Adaptive Methods in Underwater Acoustics” ed. by Heinz G. Urban

"Adaptive Methods in Underwater Acoustics" ed. by Heinz G. Urban
NATO Scientific Affairs Division. NATO ASI series. Series C, Mathematical and Pphysical Sciences; vol. 161
Springer / D. Reidel Publishing | 1985 | ISBN: 9027719829 9789027719829 9789401088640 9789400953611 | 763 pages | PDF | 29 MB
This is Proceedings of the NATO Advanced Study Institute on Adaptive Methods in Underwater Acoustic. The material in this volume may be equally well suited for students getting an introduction to some of the basic problems in underwater signal processing and for the professionals who may obtain an up-to-date overview of the present state of the art.

Practical reinforcement of this picture is provided by the material concerning digital and optical processing technology, giving some guidance to achievable adaptive and high resolution techniques with current processing devices.

TABLE OF CONTENTS
PREFACE
INAUGURAL ADDRESS
1. ACOUSTICAL BACKGROUND OF SIGNAL PROCESSING
TWENTY YEARS OF SIGNAL PROCESSING
AMBIENT NOISE: CHARACTERISTICS OF THE NOISE FIELD
AN ANALYTICAL METHOD TO PREDICT THE STATISTICAL CHARACTERISTICS OF AMBIENT SHIPPING NOISE
STATISTICAL ASPECTS OF SOUND PROPAGATION IN THE OCEAN
TOWED ARRAY RESPONSE TO SHIP NOISE: A NEAR-FIELD PROPAGATION PROBLEM
THREE-DIMENSIONAL FFP MODEL OF ACOUSTIC- AND ELASTIC WAVE PROPAGATION IN HORIZONTALLY LAYERED MEDIA.
SEISMIC SENSORS IN UNDERWATER ACOUSTICS: RESULTS FROM SEA-FIOOR MEASUREMENTS IN AREAS OF FFERENT GEOLOGY.
UNDERWATER ACOUSTICS IN THE ARCTIC OCEAN
A NEW THEORY FOR THE TRANSMISSION AND REFLECTION COEFFICENT OF LAYERED SYSTEMS
SECOND MOMENTS OF THE PRESSURE FIELD NEAR A SMOOTH CAUSTIC
STOCHASTIC SYSTEMS THEORY OF THE SCATTERING OF WAVES FROM A RANDOM MEDIUM
HYDRODYNAMIC FLOW NOISE IN HYDROPHONES
WAVEVECTOR STRUCTURE OF TURBULENT WALL PRESSURE AND ITS FILTERING BY NORMAL TRANSMISSION AND SPATIAL AVERAGING IN SENSOR ARRAYS
TARGET STRENGTH AND ECHO STRUCTURE
2. THEORETICAL AND PRACTICAL ASPECTS OF SIGNAL PROCESSING
TIME DELAY ESTIMATION
TIME DELAY ESTIMATION IN THE PRESENCE OF MULTIPATH PROPAGATION
CONSTRAINED TIME DELAY ESTIMATION VIA ZERO-CROSSING METHODS
RANGE AND BEARING DETERMINATION: MAXIMUM LIKELIHOOD AND KALMAN-BUCY TECHNIQUES
DELAY ESTIMATION WITH NON STATIONARY SIGNALS AND OBSERVATION NOISES
SOURCE PARAMETER ESTIMATION BY APPROXIMATE MAXIMUM LIKELIHOOD
ON THE USE OF FOCUSED HORIZONTAL ARRAYS AS MODE SEPARATION AND SOURCE LOCATION DEVICES IN OCEAN ACOUSTICS
HIGH-RESOLUTION SOURCE-DEPTH ESTIMATION IN ICE COVERED SHALLOW WATER
SPECTRUM ANALYSIS: OVERVIEW OF CLASSICAL AND HIGH RESOLUTION SPECTRAL ESTIMATION
APPLICATION OF HIGH RESOLUTION SPATIAL PROCESSING METHODS TO REAL DATA OF A FIXED ARRAY IN SHALLOW WATER
EXPERIMENTATION OF SPATIAL PROCESSING METHOOS
SIMULTANEOUS ESTIMATION OF SPECTRAL LINES AND OF A SUPERIMPOSED CONTINUOUS SPECTRAL DENSITY
FITTING SINUSOIDS TO SAMPLED DATA AND CORRELATION SEQUENCES
AN EXTENDED MAXIMUM ENTROPY METHOD FOR HIGH RESOLUTION SPATIAL PROCESSING
SPECTRAL AND INTERSPECTRAL ANALYSIS OF LOW FREQUENCY SUBMARINE ACOUSTIC SIGNALS RECEIVED ON AN ARRAY OF SENSORS
OVERVIEW OF ADAPTIVE ARRAY PROCESSING
NEW APPROACHES IN THE ADAPTIVE ARRAY PROCESSING FIELD
MULTIPLE DETECTION USING EIGENVALUES WHEN THE NOISE SPATIAL COHERENCE IS PARTIALLY UNKNOWN
THEORETICAL AND EXPERIMENTAL COMPARISONS OF OPTIMUM ELEMENT, BEAM AND EIGEN SPACE ARRAY PROCESSORS
APPLICATIONS OF SOME STATISTICAL MEASURES TO SPATIAL SIGNAL PROCESSING
THE CROSS CORRELATION MATRIX IN SPATIAL PROCESSING
THE EFFECT OF BANDWIDTH ON THE PERFORMANCE OF A POSTBEAMFORMER INTERFERENCE CANCELLER
A NEW APPROACH TO THE DESIGN OF BROADBAND ELEMENT SPACE ANTENNA ARRAY PROCESSORS
ON THE ROLE OF PRIOR INFORMATION IN NONLINEAR BEARING ESTIMATION
BEAMFORMING BY THE CROSS-CORRELATION ANALYSIS OF ROCEIVED SPECTRA
APPLICATIONS OF ADAPTIVE ARRAY PROCESSING
ADAPTIVE ACTIVE SONAR RECEPTION IN SHALLOW WATER USING VERTICAL ARRAY OUTPUTS COVARIANCE MATRIX EIGENVALUES EXPERIMENTAL RESULTS
BEAMFORMING WITH A DISTORTED TOWED ARRAY
INFLUENCE OF HYDROPHONE POSITION ERRORS ON SPATIAL SIGNAL PROCESSING ALGORITHMS
A TUTORIAL INTRODUCTION TO NONLINEAR FILTERING
DETECTION WITH UNCERTAINTY: NON PARAMETRIC, ROBUST OR ADAPTIVE APPROACHES
THE DESIGN OF OPTIMAL PROCESSORS FOR ARRAYS WITH NON-GAUSSIAN NOISE INPUTS
ADAPTIVE PROCESSING OF UNDERWATER ACOUSTIC SIGNALS IN NON-GAUSSIAN NOISE ENVIRONMENTS: I. DETECTION IN THE SPACE-TIME THRESHOLD REGIMES
DETECTION AND CLASSIFICATION PHENOMENA OF BIOLOGICAL SYSTEMS
DETECTION AND RECOGNITION OF MOVING OR RANDOMLY SCALED OBJECTS
ITERATIVE ALGORITHMS FOR DECONVOLUTION AND RECONSTRUCTION OF MULTIDIMENSIONAL SIGNALS FROM THEIR PROJECTIONS
3. TECHNIQUES AND APPLICATIONS
DIGITAL SIGNAL PROCESSING FOR SONAR
OPTICAL SIGNAL PROCESSING
BEAMFORMING FOR SONAR SIGNALS BY MEANS OF AN INCOHERENT ACOUSTO-OPTICAL PROCESSOR: EXPERIMENTAL RESULTS
ADAPTATION OF FIBER OPTICS TO HYDROPHONE APPLICATIONS
CERAMIC ELASTOMER COMPOSITE HYDROPHONE
EXPERT SYSTEMS FOR SHF NOISE INTERPRETATION
COMPARISON OF THE STATISTICAL AND THE EXPERT SYSTEM APPROACH FOR THE INTERPRETATION OF SHIP NOISE
SIGNAL PROCESSING TECHNIQUES TO ANALYSE AND SIMULATE RADIATED UNDERWATER SHIP PROPELLER NOISE
SIGNAL PROCESSING IN OCEAN TOMOGRAPHY
NEW ADVANCES TOWARDS OCEAN, ACOUSTICS AND SPACE INTEGRATION
PASSIVE SYNTHETIC APERTURE SONAR – AN ANALYSIS OF THE BEAMFORMING PROCESS
TECHNIQUES FOR MEASURING BACKSCATTERING FROM THE SEA FLOOR WITH AN ARRAY
AEON-ADAPTIVE TIME-SPACE ARRAY PROCESSING
SUMMARIES OF WORKSHOPS
ENVIRONMENTAL MODELLING AND SIGNAL PROCESSING
TEST TANKS AND MEASURING FACILITIES
NON LINEAR FILTERING
SIGNAL PROCESSING
EXPERT SYSTEMS
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