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LEGO CITY Big City Life Activity Book with Minifigure: : BOOKS KINOKUNIYA
Book Details
LEGO CITY Big City Life Activity Book with Minifigure
LEGO CITY Big City Life Activity Book with Minifigure
By
Publisher : Ladybird Bo
Published Date : 2012/05
ISBN : 9781409314103

BookWeb Price : THB 258.00
Kinokuniya Privilege Card member price : THB 232.00

Availability Status : Out of stock.
The item is subject to availability at publisher. We will e-mail you with an estimated delivery date as soon as we have more information. Your account will only be charged upon delivery.

Book Description

LEGO City minifigures attempt to make it to school on time, perform skateboarding tricks and even serve pizza to a werewolf in this awesome activity book! Build your very own LEGO City minifigure, read the stories and complete the puzzles. This title offers lots of fun for every LEGO fan.GY HK IL IM IN IQ JE JM JO KE KI KN KW KY LC LK LS MS MT MU MW MY NA NG NP PK PN SB SC SD SG SH SL SO SZ TO TT TV TZ UG VC VG WS YE ZM ZWBV BY CC CD CF CG CH CI CK CL CN CO CR CU CV CX CZ DE DJ DK DO DZ EC EE EH ER ES ET FI FO FR GA GE GF GL GN GP GQ GR GS GT GW HM HN HR HT HU ID IO IR IS IT JP KG KH KM KP KR KZ LA LB LI LR LT LU LV LY MA MC MD ME MF MG MK ML MM MN MO MP MQ MR MV MX MZ NC NE NF NI NL NO NR NU OM PA PE PF PG PL PM PS PT PY QA RE RO RS RU RW SA SE SI SJ SK SM SN SR ST SV SY TC TD TF TG TH TJ TK TL TM TN TR TW UA UY UZ VA VE VI VN VU WF YTthrough the content of the book, it is important that the reader develops an understanding of the origins of wound management and how modern wound technology has evolved to reflect those origins.In summary, this book aims to provide a range of health care practitioners with a basic set of tools for starting to personally experience and enjoy the provision of high quality wound management.

Contents
Wound Care.Past Beliefs and Practices.Cells, Tissues and Skin.What is a Wound.The Patient With a Wound.Diagnosing and Assessing Wounds.Documenting Wound Care.Basic Tools for Providing The Optimal Wound Healing environment.Modern Wound Management Technologies.Managing Infected Wounds, classification and Treatment of Different Wound Types.Chronic Wounds, classification and Treatment of Different Wound Types.Acute Wounds.The incidence and Prevalence of Wounds.Case Studies, Professional Guidance for practitioners.Glossary of Terms.References.IndexInequity: using CRT to unmask white supremacy in Education Policy David Gillborn 10 Educational Policy Contradictions: A LatCrit perspective on Undocumented Latino Students Nereida Oliva, Judith C. Perez and Laurence Parker 11 Badges of Inferiority: The Racialization of Achievement in U.S. Education Sonya Douglass Horsford and Tanetha J. Grosland 12 The Racialization of South Asian Americans in a Post-911 Era Binaya Subedi 13 Blurring the Boundaries: the Mechanics of Creating Composite Characters Daniella Ann Cook 14 Education as the Property of Whites: African Americans Continued Quest for Good Schools Jamel K. Donnor 15 The Inclusion and Representation of Asian Americans and Pacific Islanders in America's Equity Agenda in Higher Education Robert T. Teranishi & Loni Bordoloi Pazich 16 Let's Be For Real: Critical Race Theory, Racial Realism, and Education Policy Analysis (Toward a New Paradigm) Kristen L. Buras 17 Examining Black male identity through a raced, classed, and gendered lens: Critical race Theory and the Intersectionality of the Black male experience Tyrone C. Howard and Rema Reynolds 18 Expanding the Counterstory: The Potential for Critical Race Mixed Methods Studies in Education Jessica T. DeCuir-Gunby & Dina C. Walker-DeVose 19 A Critical Race Policy Analysis of the School-to-Prison Pipeline for Chicanos Brenda Guadalupe Valles and Octavio Villalpando 20 Critical Race Quantitative Intersectionality: An Anti-Racist Research Paradigm that Refuses to "Let the Numbers Speak for Themselves" Alejandro Covarrubias and Veronica Velez SECTION III Critical Race Praxis in Communities, Schools and the University 21 "Fightin' the Devil 24/7": Context, Community, and Critical Race Praxis in Education David O. Stovall 22 Arizona on the Doorstep of Apartheid: The Purging of the Tri-Dimensionalization of Reality Augustine F. Romero 23 Other Kids' Teachers: What Children of Color Learn from White Women and what this Says about Race, Whiteness, and Gender Zeus Leonardo & Erica Boas 24 Critical Race Methodological Tensions: Nepantla in Our Community-Based Praxis Enrique Aleman, Dolores Delgado Bernal & Sylvia Mendoza 25 Critical Race Theory, Interest Convergence & Teacher Education H. Richard Milner, F. Alvin Pearman II and Ebony O. McGee 26 CRT's challenge to educator's articulation of abstract liberal perspectives of purpose Kenneth Fasching-Varner and Roland Mitchell 27 Post-racial Critical Race Praxis Sabina Vaught and Gabrielle Hernandez with Ikenna Acholonu, Amber Frommherz and Ben Phelps 28 What is "urban"? A CRT examination of the preparation of K-12 teachers for urban schools Celia Rousseau Anderson and Beverly E. Cross4.2.1 Power-Series Model 92 4.2.2 Limiter Model 92 4.3 Complex Baseband Analysis of Nonlinear Systems with Memory 94 4.3.1 Volterra Series 94 4.3.2 Single-Frequency Volterra Models 95 4.3.3 Wiener-Hammerstein Model 96 4.4 Complex Envelope Analysis with Multiple Bandpass Signals 97 4.4.1 Volterra Series 97 4.4.2 Single-Frequency Volterra Models 99 4.4.3 Wiener-Hammerstein Model 100 4.4.4 Multi-Input Single-Output Nonlinear Model 103 4.4.5 Memoryless Nonlinearity-Power-Series Model 104 4.5 Examples-Response of Power-Series Model to Multiple Signals 106 4.5.1 Single Tone 107 4.5.2 Two-Tone Signal 107 4.5.3 Single-Bandpass Signal 108 4.5.4 Two-Bandpass Signals 108 4.5.5 Single Tone and a Bandpass Signal 109 4.5.6 Multisines 110 4.5.7 Multisine Analysis Using the Generalized Power-Series Model 111 4.6 Summary 111 5 Nonlinear Transformation of Random Signals 113 5.1 Preliminaries 114 5.2 Linear Systems with Stochastic Inputs 114 5.2.1 White Noise 115 5.2.2 Gaussian Processes 116 5.3 Response of a Nonlinear System to a Random Input Signal 116 5.3.1 Power-Series Model 116 5.3.2 Wiener-Hammerstein Models 118 5.4 Response of Nonlinear Systems to Gaussian Inputs 119 5.4.1 Limiter Model 120 5.4.2 Memoryless Power-Series Model 123 5.5 Response of Nonlinear Systems to Multiple Random Signals 123 5.5.1 Power-Series Model 124 5.5.2 Wiener-Hammerstein Model 126 5.6 Response of Nonlinear Systems to a Random Signal and a Sinusoid 128 5.7 Summary 129 6 Nonlinear Distortion 131 6.1 Identification of Nonlinear Distortion in Digital Wireless Systems 132 6.2 Orthogonalization of the Behavioral Model 134 6.2.1 Orthogonalization of the Volterra Series Model 136 6.2.2 Orthogonalization of Wiener Model 137 6.2.3 Orthogonalization of the Power-Series Model 139 6.3 Autocorrelation Function and Spectral Analysis of the Orthogonalized Model 140 6.3.1 Output Autocorrelation Function 142 6.3.2 Power Spectral Density 142 6.4 Relationship Between System Performance and Uncorrelated Distortion 144 6.5 Examples 146 6.5.1 Narrowband Gaussian Noise 146 6.5.2 Multisines with Deterministic Phases 148 6.5.3 Multisines with Random Phases 152 6.6 Measurement of Uncorrelated Distortion 154 6.7 Summary 155 7 Nonlinear System Figures of Merit 157 7.1 Analogue System Nonlinear Figures of Merit 158 7.1.1 Intermodulation Ratio 158 7.1.2 Intercept Points 159 7.1.3 1-dB Compression Point 160 7.2 Adjacent-Channel Power Ratio (ACPR) 161 7.3 Signal-to-Noise Ratio (SNR) 161 7.4 CDMA Waveform Quality Factor ( rho ) 163 7.5 Error Vector Magnitude (EVM) 163 7.6 Co-Channel Power Ratio (CCPR) 164 7.7 Noise-to-Power Ratio (NPR) 164 7.7.1 NPR of Communication Signals 165 7.7.2 NBGN Model for Input Signal 166 7.8 Noise Figure in Nonlinear Systems 167 7.8.1 Nonlinear Noise Figure 169 7.8.2 NBGN Model for Input Signal and Noise 171 7.9 Summary 173 8 Communication System Models and Simulation in MATLAB (R) 175 8.1 Simulation of Communication Systems 176 8.1.1 Random Signal Generation 176 8.1.2 System Models 176 8.1.3 Baseband versus Passband Simulations 177 8.2 Choosing the Sampling Rate in MATLAB(R) Simulations 178 8.3 Random Signal Generation in MATLAB(R) 178 8.3.1 White Gaussian Noise Generator 178 8.3.2 Random Matrices 179 8.3.3 Random Integer Matrices 179 8.4 Pulse-Shaping Filters 180 8.4.1 Raised Cosine Filters 180 8.4.2 Gaussian Filters 182 8.5 Error Detection and Correction 183 8.6 Digital Modulation in MATLAB(R) 184 8.6.1 Linear Modulation 184 8.6.2 Nonlinear Modulation 186 8.7 Channel Models in MATLAB(R) 188 8.8 Simulation of System Performance in MATLAB(R) 188 8.8.1 BER 190 8.8.2 Scatter Plots 195 8.8.3 Eye Diagrams 196 8.9 Generation of Communications Signals in MATLAB(R) 198 8.9.1 Narrowband Gaussian Noise 198 8.9.2 OFDM Signals 199 8.9.3 DS-SS Signals 203 8.9.4 Multisine Signals 206 8.10 Example 210 8.11 Random Signal Generation in Simulink(R) 211 8.11.1 Random Data Sources 211 8.11.2 Random Noise Generators 212 8.11.3 Sequence Generators 213 8.12 Digital Modulation in Simulink(R) 214 8.13 Simulation of System Performance in Simulink(R) 214 8.13.1 Example 1: Random Sources and Modulation 216 8.13.2 Example 2: CDMA Transmitter 217 8.13.3 Simulation of Wireless Standards in Simulink (R) 220 8.14 Summary 220 9 Simulation of Nonlinear Systems in MATLAB (R) 221 9.1 Generation of Nonlinearity in MATLAB(R) 221 9.1.1 Memoryless Nonlinearity 221 9.1.2 Nonlinearity with Memory 222 9.2 Fitting a Nonlinear Model to Measured Data 224 9.2.1 Fitting a Memoryless Polynomial Model to Measured Data 224 9.2.2 Fitting a Three-Box Model to Measured Data 228 9.2.3 Fitting a Memory Polynomial Model to a Simulated Nonlinearity 234 9.3 Autocorrelation and Spectrum Estimation 235 9.3.1 Estimation of the Autocorrelation Function 235 9.3.2 Plotting the Signal Spectrum 237 9.3.3 Power Measurements from a PSD 239 9.4 Spectrum of the Output of a Memoryless Nonlinearity 240 9.4.1 Single Channel 240 9.4.2 Two Channels 243 9.5 Spectrum of the Output of a Nonlinearity with Memory 246 9.5.1 Three-Box Model 246 9.5.2 Memory Polynomial Model 249 9.6 Spectrum of Orthogonalized Nonlinear Model 251 9.7 Estimation of System Metrics from Simulated Spectra 256 9.7.1 Signal-to-Noise and Distortion Ratio (SNDR) 257 9.7.2 EVM 260 9.7.3 ACPR 262 9.8 Simulation of Probability of Error 263 9.9 Simulation of Noise-to-Power Ratio 268 9.10 Simulation of Nonlinear Noise Figure 271 9.11 Summary 278 10 Simulation of Nonlinear Systems in Simulink (R) 279 10.1 RF Impairments in Simulink(R) 280 10.1.1 Communications Blockset 280 10.1.2 The RF Blockset 280 10.2 Nonlinear Amplifier Mathematical Models in Simulink(R) 283 10.2.1 The "Memoryless Nonlinearity" Block-Communications Blockset 283 10.2.2 Cubic Polynomial Model 284 10.2.3 Hyperbolic Tangent Model 284 10.2.4 Saleh Model 285 10.2.5 Ghorbani Model 285 10.2.6 Rapp Model 285 10.2.7 Example 286 10.2.8 The "Amplifier" Block-The RF Blockset 286 10.3 Nonlinear Amplifier Physical Models in Simulink(R) 289 10.3.1 "General Amplifier" Block 290 10.3.2 "S-Parameter Amplifier" Block 296 10.4 Measurements of Distortion and System Metrics 297 10.4.1 Adjacent-Channel Distortion 297 10.4.2 In-Band Distortion 297 10.4.3 Signal-to-Noise and Distortion Ratio 300 10.4.4 Error Vector Magnitude 300 10.5 Example: Performance of Digital Modulation with Nonlinearity 301 10.6 Simulation of Noise-to-Power Ratio 302 10.7 Simulation of Noise Figure in Nonlinear Systems 304 10.8 Summary 306 Appendix A Basics of Signal and System Analysis 307 A.1 Signals 308 A.2 Systems 308 Appendix B Random Signal Analysis 311 B.1 Random Variables 312 B.1.1 Examples of Random Variables 312 B.1.2 Functions of Random Variables 312 B.1.3 Expectation 313 B.1.4 Moments 314 B.2 Two Random Variables 314 B.2.1 Independence 315 B.2.2 Joint Statistics 315 B.3 Multiple Random Variables 316 B.4 Complex Random Variables 317 B.5 Gaussian Random Variables 318 B.5.1 Single Gaussian Random Variable 318 B.5.2 Moments of Single Gaussian Random Variable 319 B.5.3 Jointly Gaussian Random Variables 319 B.5.4 Price's Theorem 320 B.5.5 Multiple Gaussian Random Variable 320 B.5.6 Central Limit Theorem 321 B.6 Random Processes 321 B.6.1 Stationarity 322 B.6.2 Ergodicity 323 B.6.3 White Processes 323 B.6.4 Gaussian Processes 324 B.7 The Power Spectrum 324 B.7.1 White Noise Processes 325 B.7.2 Narrowband Processes 326 Appendix C Introduction to MATLAB (R) 329 C.1 MATLAB(R) Scripts 329 C.2 MATLAB(R) Structures 330 C.3 MATLAB(R) Graphics 330 C.4 Random Number Generators 330 C.5 Moments and Correlation Functions of Random Sequences 332 C.6 Fourier Transformation 332 C.7 MATLAB(R) Toolboxes 333 C.7.1 The Communication Toolbox 334 C.7.2 The RF Toolbox 334 C.8 Simulink(R) 335 C.8.1 The Communication Blockset 339 C.8.2 The RF Blockset 339 References 341 Index 347
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