Troublesome Creek : a midwestern

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Inequality, Innovation and Reform in Higher Education Challenges of Migration and Ageing Populations

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The book of CSS3 : a developer's guide to the future of web design by Gasston, Peter

Table of Contents: “…Dedication -- Foreword -- Preface -- Introduction -- The Scope of This Book -- A Quick Note About Browsers and Platforms -- The Appendices and Further Resources -- Chapter 1: Introducing CSS3 -- What CSS3 Is and How It Came to Be -- Let's Get Started: Introducing the Syntax -- Getting Started -- Chapter 2: Media Queries -- The Advantages of Media Queries -- Syntax -- Media Features -- Summary -- Media Queries: Browser Support -- Chapter 3: Selectors -- Attribute Selectors -- New Attribute Selectors in CSS3 -- The General Sibling Combinator -- Summary -- Selectors: Browser Support -- Chapter 4: Pseudo-classes and Pseudo-elements -- Structural Pseudo-classes -- Other Pseudo-classes -- Pseudo-elements -- Summary -- DOM and Attribute Selectors: Browser Support -- Chapter 5: Web Fonts -- The @font-face Rule -- A "Bulletproof" @font-face Syntax -- Licensing Fonts for Web Use -- A Real-World Web Fonts Example -- More Font Properties -- OpenType Features -- Summary -- Web Fonts: Browser Support -- Chapter 6: Text Effects and Typographic Styles -- Understanding Axes and Coordinates -- Applying Dimensional Effects: text-shadow -- Adding Definition to Text: text-outline and text-stroke -- More Text Properties -- Summary -- Text Effects: Browser Support -- Chapter 7: Multiple Columns -- Column Layout Methods -- Column Gaps and Rules -- Containing Elements within Columns -- Summary -- Multiple Columns: Browser Support -- Chapter 8: Background Images and Other Decorative Properties -- Background Images -- Image Masks -- Summary -- Background Images: Browser Support -- Chapter 9: Border and Box Effects -- Giving Your Borders Rounded Corners -- Using Images for Borders -- Multicolored Borders -- Adding Drop Shadows -- Summary -- Border and Box Effects: Browser Support -- Chapter 10: Color and Opacity -- Setting Transparency with the opacity Property -- New and Extended Color Values -- Matching the Operating System's Appearance -- Summary -- Color and Opacity: Browser Support -- Chapter 11: Gradients -- Linear Gradients -- Radial Gradients -- Multiple Gradients -- Repeating Gradients in Firefox -- Summary -- Gradients: Browser Support -- Chapter 12: 2D Transformations -- The transform Property -- rotate -- translate -- skew -- scale -- Multiple Transformations -- Transforming Elements with Matrices -- Reflections with WebKit -- Summary -- 2D Transformations: Browser Support -- Chapter 13: Transitions and Animations -- Transitions -- More Complex Animations -- Summary -- Transitions and Animations: Browser Support -- Chapter 14: 3D Transformations -- 3D Elements in CSS -- Transform Style -- The Transformation Functions -- The perspective and perspective-origin Properties -- The Transformation Origin -- Showing or Hiding the Backface -- Summary -- 3D Transformations: Browser Support -- Chapter 15: Flexible Box Layout -- Triggering the Flexible Box Layout -- Making the Boxes Flexible -- Grouping Flexible Boxes -- Changing Orientation -- Changing the Order of Flexible Boxes -- Alignment -- Same-Axis Alignment -- Multiple Rows or Columns -- Cross-Browser Flex Box with JavaScript -- Stop the Presses: New Syntax -- Summary -- Flexible Box Layout: Browser Support -- Chapter 16: Template Layout -- Setting Up the JavaScript -- Using position and display to Create Rows -- Multiple Rows -- Slots and the ::slot() Pseudo-element -- Creating Empty Slots -- Setting Height and Width on Rows and Columns -- Default Content: The @ Sign -- Summary -- Template Layout: Browser Support -- Chapter 17: The Future of CSS -- Mathematical Operations -- The Grid Positioning Module -- Extending the Possibilities of Images -- Grouping Selectors -- Constants and Variables -- WebKit CSS Extensions -- Haptic Feedback -- Summary -- Future CSS: Browser Support -- CSS3 Support in Current Major Browsers -- Media Queries (Chapter 2) -- Selectors (Chapter 3) -- Pseudo-classes and Pseudo-elements (Chapter 4) -- Web Fonts (Chapter 5) -- Text Effects and Typographic Styles (Chapter 6) -- Multiple Columns (Chapter 7) -- Background Images and Other Decorative Properties (Chapter 8) -- Border and Box Effects (Chapter 9) -- Color and Opacity (Chapter 10) -- Gradients (Chapter 11) -- 2D Transformations (Chapter 12) -- Transitions and Animations (Chapter 13) -- 3D Transformations (Chapter 14) -- Flexible Box Layout (Chapter 15) -- Template Layout (Chapter 16) -- The Future of CSS (Chapter 17) -- Online Resources -- CSS Modules -- Browsers -- Browser Support -- Feature Detection and Simulation -- Code-Generation Tools -- Web Fonts -- Other Resources -- About the Technical Reviewer.…”


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Cable Supported Bridges : Concept and Design. by Gimsing, Niels J.

Table of Contents: “…3.1.1 Pure cable systems3.1.2 Cable steel quantity comparison; 3.1.3 Stability of the cable system; 3.2 Suspension System; 3.2.1 Dead load geometry; 3.2.2 Preliminary cable dimensions; 3.2.3 Quantity of cable steel; 3.2.4 Quantity in the pylon; 3.2.5 Total cost of cable system and pylon; 3.2.6 Optimum pylon height; 3.2.7 Size effect; 3.2.8 Structural systems; 3.3 Fan System; 3.3.1 Anchor cable; 3.3.2 Preliminary cable dimensions; 3.3.3 Quantity of cable steel; 3.3.4 Quantity in the pylon; 3.3.5 Simplified expressions; 3.3.6 Total cost of cable systems and pylons.…”
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Wind resource assessment : a practical guide to developing a wind project

Table of Contents: “…2.2.2 Measurement Plan2.2.3 Monitoring Strategy; 2.2.4 Quality Assurance Plan; 2.3 Wind Resource Analysis; 2.3.1 Data Validation; 2.3.2 Characterizing the Observed Wind Resource; 2.3.3 Estimating the Hub Height Resource; 2.3.4 Climate Adjustment; 2.3.5 Wind Flow Modeling; 2.3.6 Uncertainty in Wind Resource Assessment; 2.3.7 Project Design and Energy Production; Suggestions for Further Reading; 3. …”
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Machine learning theory and applications : hands-on use cases with Python on classical and quantum machines by Vasques, Xavier

Table of Contents: “…Foreword xiii -- Acknowledgments xv -- General Introduction xvii -- 1 Concepts, Libraries, and Essential Tools in Machine Learning and Deep Learning 1 -- 1.1 Learning Styles for Machine Learning 2 -- 1.1.1 Supervised Learning 2 -- 1.1.1.1 Overfitting and Underfitting 3 -- 1.1.1.2 K-Folds Cross-Validation 4 -- 1.1.1.3 Train/Test Split 4 -- 1.1.1.4 Confusion Matrix 5 -- 1.1.1.5 Loss Functions 7 -- 1.1.2 Unsupervised Learning 9 -- 1.1.3 Semi-Supervised Learning 9 -- 1.1.4 Reinforcement Learning 9 -- 1.2 Essential Python Tools for Machine Learning 9 -- 1.2.1 Data Manipulation with Python 10 -- 1.2.2 Python Machine Learning Libraries 10 -- 1.2.2.1 Scikit-learn 10 -- 1.2.2.2 TensorFlow 10 -- 1.2.2.3 Keras 12 -- 1.2.2.4 PyTorch 12 -- 1.2.3 Jupyter Notebook and JupyterLab 13 -- 1.3 HephAIstos for Running Machine Learning on CPUs, GPUs, and QPUs 13 -- 1.3.1 Installation 13 -- 1.3.2 HephAIstos Function 15 -- 1.4 Where to Find the Datasets and Code Examples 32 -- Further Reading 33 -- 2 Feature Engineering Techniques in Machine Learning 35 -- 2.1 Feature Rescaling: Structured Continuous Numeric Data 36 -- 2.1.1 Data Transformation 37 -- 2.1.1.1 StandardScaler 37 -- 2.1.1.2 MinMaxScaler 39 -- 2.1.1.3 MaxAbsScaler 40 -- 2.1.1.4 RobustScaler 40 -- 2.1.1.5 Normalizer: Unit Vector Normalization 42 -- 2.1.1.6 Other Options 43 -- 2.1.1.7 Transformation to Improve Normal Distribution 44 -- 2.1.1.8 Quantile Transformation 48 -- 2.1.2 Example: Rescaling Applied to an SVM Model 50 -- 2.2 Strategies to Work with Categorical (Discrete) Data 57 -- 2.2.1 Ordinal Encoding 59 -- 2.2.2 One-Hot Encoding 61 -- 2.2.3 Label Encoding 62 -- 2.2.4 Helmert Encoding 63 -- 2.2.5 Binary Encoding 64 -- 2.2.6 Frequency Encoding 65 -- 2.2.7 Mean Encoding 66 -- 2.2.8 Sum Encoding 68 -- 2.2.9 Weight of Evidence Encoding 68 -- 2.2.10 Probability Ratio Encoding 70 -- 2.2.11 Hashing Encoding 71 -- 2.2.12 Backward Difference Encoding 72 -- 2.2.13 Leave-One-Out Encoding 73 -- 2.2.14 James-Stein Encoding 74 -- 2.2.15 M-Estimator Encoding 76 -- 2.2.16 Using HephAIstos to Encode Categorical Data 77 -- 2.3 Time-Related Features Engineering 77 -- 2.3.1 Date-Related Features 79 -- 2.3.2 Lag Variables 79 -- 2.3.3 Rolling Window Feature 82 -- 2.3.4 Expending Window Feature 84 -- 2.3.5 Understanding Time Series Data in Context 85 -- 2.4 Handling Missing Values in Machine Learning 88 -- 2.4.1 Row or Column Removal 89 -- 2.4.2 Statistical Imputation: Mean, Median, and Mode 90 -- 2.4.3 Linear Interpolation 91 -- 2.4.4 Multivariate Imputation by Chained Equation Imputation 92 -- 2.4.5 KNN Imputation 93 -- 2.5 Feature Extraction and Selection 97 -- 2.5.1 Feature Extraction 97 -- 2.5.1.1 Principal Component Analysis 98 -- 2.5.1.2 Independent Component Analysis 102 -- 2.5.1.3 Linear Discriminant Analysis 110 -- 2.5.1.4 Locally Linear Embedding 115 -- 2.5.1.5 The t-Distributed Stochastic Neighbor Embedding Technique 123 -- 2.5.1.6 More Manifold Learning Techniques 125 -- 2.5.1.7 Feature Extraction with HephAIstos 130 -- 2.5.2 Feature Selection 131 -- 2.5.2.1 Filter Methods 132 -- 2.5.2.2 Wrapper Methods 146 -- 2.5.2.3 Embedded Methods 154 -- 2.5.2.4 Feature Importance Using Graphics Processing Units (GPUs) 167 -- 2.5.2.5 Feature Selection Using HephAIstos 168 -- Further Reading 170 -- 3 Machine Learning Algorithms 175 -- 3.1 Linear Regression 176 -- 3.1.1 The Math 176 -- 3.1.2 Gradient Descent to Optimize the Cost Function 177 -- 3.1.3 Implementation of Linear Regression 182 -- 3.1.3.1 Univariate Linear Regression 182 -- 3.1.3.2 Multiple Linear Regression: Predicting Water Temperature 185 -- 3.2 Logistic Regression 202 -- 3.2.1 Binary Logistic Regression 202 -- 3.2.1.1 Cost Function 203 -- 3.2.1.2 Gradient Descent 204 -- 3.2.2 Multinomial Logistic Regression 204 -- 3.2.3 Multinomial Logistic Regression Applied to Fashion MNIST 204 -- 3.2.3.1 Logistic Regression with scikit-learn 205 -- 3.2.3.2 Logistic Regression with Keras on TensorFlow 208 -- 3.2.4 Binary Logistic Regression with Keras on TensorFlow 210 -- 3.3 Support Vector Machine 211 -- 3.3.1 Linearly Separable Data 212 -- 3.3.2 Not Fully Linearly Separable Data 214 -- 3.3.3 Nonlinear SVMs 216 -- 3.3.4 SVMs for Regression 217 -- 3.3.5 Application of SVMs 219 -- 3.3.5.1 SVM Using scikit-learn for Classification 220 -- 3.3.5.2 SVM Using scikit-learn for Regression 222 -- 3.4 Artificial Neural Networks 223 -- 3.4.1 Multilayer Perceptron 224 -- 3.4.2 Estimation of the Parameters 225 -- 3.4.2.1 Loss Functions 225 -- 3.4.2.2 Backpropagation: Binary Classification 226 -- 3.4.2.3 Backpropagation: Multi-class Classification 227 -- 3.4.3 Convolutional Neural Networks 230 -- 3.4.4 Recurrent Neural Network 232 -- 3.4.5 Application of MLP Neural Networks 233 -- 3.4.6 Application of RNNs: LST Memory 242 -- 3.4.7 Building a CNN 246 -- 3.5 Many More Algorithms to Explore 249 -- 3.6 Unsupervised Machine Learning Algorithms 251 -- 3.6.1 Clustering 251 -- 3.6.1.1 K-means 253 -- 3.6.1.2 Mini-batch K-means 255 -- 3.6.1.3 Mean Shift 257 -- 3.6.1.4 Affinity Propagation 259 -- 3.6.1.5 Density-based Spatial Clustering of Applications with Noise 262 -- 3.7 Machine Learning Algorithms with HephAIstos 264 -- References 270 -- Further Reading 270 -- 4 Natural Language Processing 273 -- 4.1 Classifying Messages as Spam or Ham 274 -- 4.2 Sentiment Analysis 281 -- 4.3 Bidirectional Encoder Representations from Transformers 286 -- 4.4 BERT's Functionality 287 -- 4.5 Installing and Training BERT for Binary Text Classification Using TensorFlow 288 -- 4.6 Utilizing BERT for Text Summarization 294 -- 4.7 Utilizing BERT for Question Answering 296 -- Further Reading 297 -- 5 Machine Learning Algorithms in Quantum Computing 299 -- 5.1 Quantum Machine Learning 303 -- 5.2 Quantum Kernel Machine Learning 306 -- 5.3 Quantum Kernel Training 328 -- 5.4 Pegasos QSVC: Binary Classification 333 -- 5.5 Quantum Neural Networks 337 -- 5.5.1 Binary Classification with EstimatorQNN 338 -- 5.5.2 Classification with a SamplerQNN 343 -- 5.5.3 Classification with Variational Quantum Classifier 348 -- 5.5.4 Regression 351 -- 5.6 Quantum Generative Adversarial Network 352 -- 5.7 Quantum Algorithms with HephAIstos 368 -- References 372 -- Further Reading 373 -- 6 Machine Learning in Production 375 -- 6.1 Why Use Docker Containers for Machine Learning? …”
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Principles and Practice of Hospital Medicine

Table of Contents: “…Chapter 118: Neurologic Imaging -- Chapter 119: Interventional Radiology -- Section 3: Procedures -- Chapter 120: Vascular Access -- Chapter 121: Intubation and Airway Support -- Chapter 122: Arterial Blood Gas and Placement of A-line -- Chapter 123: Feeding Tube Placement -- Chapter 124: Thoracentesis -- Chapter 125: Lumbar Puncture -- Chapter 126: Paracentesis -- Chapter 127: Arthrocentesis -- PART VI: CLINICAL CONDITIONS IN THE INPATIENT SETTING -- Section 1: Cardiovascular Medicine -- Chapter 128: Acute Coronary Syndromes -- Chapter 129: Heart Failure -- Chapter 130: Myocarditis, Pericardial Disease, and Cardiac Tamponade -- Chapter 131: Valvular Heart Disease -- Chapter 132: Supraventricular Tachyarrhythmias -- Chapter 133: Bradycardia -- Chapter 134: Ventricular Arrhythmias -- Chapter 135: Cardioversion -- Chapter 136: Pacemakers, Defibrillators, and Cardiac Resynchronization Devices in Hospital Medicine -- Section 2: Critical Care -- Chapter 137: Inpatient Cardiac Arrest and Cardiopulmonary Resuscitation -- Chapter 138: Acute Respiratory Failure -- Chapter 139: Pain, Agitation, and Delirium in the Critical Care Setting -- Chapter 140: Mechanical Ventilation -- Chapter 141: Sepsis and Shock -- Chapter 142: Acute Respiratory Distress Syndrome -- Chapter 143: Prevention in the Intensive Care Unit Setting -- Section 3: Dermatology -- Chapter 144: Flushing and Urticaria -- Chapter 145: Adverse Cutaneous Drug Reactions -- Chapter 146: Psoriasis and Other Papulosquamous Disorders -- Chapter 147: Diabetic Foot Infections -- Chapter 148: Venous Ulcers -- Chapter 149: Dermatologic Findings in Systemic Disease -- Section 4: Endocrinology -- Chapter 150: Glycemic Emergencies -- Chapter 151: Inpatient Management of Diabetes and Hyperglycemia -- Chapter 152: Thyroid Emergencies -- Chapter 153: Adrenal Insufficiency -- Chapter 154: Pituitary Disease -- Section 5: Gastroenterology -- Chapter 155: GERD and Esophagitis -- Chapter 156: Upper Gastrointestinal Bleeding -- Chapter 157: Acute Pancreatitis -- Chapter 158: Jaundice, Obstruction, and Acute Cholangitis -- Chapter 159: Acute Liver Disease -- Chapter 160: Cirrhosis and Its Complications -- Chapter 161: Acute Lower Gastrointestinal Bleeding -- Chapter 162: Small Bowel Disorders -- Chapter 163: Large Bowel Disorders -- Chapter 164: Inflammatory Bowel Disease -- Section 6: Geriatrics -- Chapter 165: Principles of Geriatric Care -- Chapter 166: Agitation in Older Adults -- Chapter 167: Elder Mistreatment -- Chapter 168: Malnutrition and Weight Loss in Hospitalized Older Adults -- Section 7: Hematology -- Chapter 169: Abnormalities in Red Blood Cells -- Chapter 170: Disorders of the White Cell -- Chapter 171: Quantitative Abnormalities of Platelets: Thrombocytopenia and Thrombocytosis -- Chapter 172: Approach to Patients with Bleeding Disorders -- Chapter 173: Hypercoagulable States -- Chapter 174: Hematologic Malignancies -- Section 8: Oncology -- Chapter 175: Overview of Cancer and Treatment -- Chapter 176: Oncologic Emergencies -- Chapter 177: Approach to the Patient with Suspected Malignancy -- Chapter 178: Breast, Ovary, and Cervical Cancer -- Chapter 179: Menђ́ةs Cancers -- Chapter 180: Cancers of the Kidney, Renal Pelvis, and Ureter -- Chapter 181: Oncologic Issues of the Aerodigestive Tract -- Chapter 182: Gastrointestinal Cancers -- Chapter 183: Immune-Related Adverse Events (irAEs) in Cancer Patients -- Section 9: Infectious Disease -- Chapter 184: Fundamentals of Antibiotics -- Chapter 185: Antibiotic Resistance -- Chapter 186: Community-Acquired Pneumonia.…”
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Proceedings of the Sixth Meeting on CPT and Lorentz Symmetry : Bloomington, USA 17-21 June 2013

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Carrier transport in nanoscale MOS transistors by Tsuchiya, Hideaki

Table of Contents: “…3.5.3 ID-VG characteristics and backscattering coefficient 79 -- 4 Phonon Transport in Si Nanostructures 85 -- 4.1 Monte Carlo simulation method 87 -- 4.1.1 Phonon dispersion model 87 -- 4.1.2 Particle simulation of phonon transport 88 -- 4.1.3 Free flight and scattering 89 -- 4.2 Simulation of thermal conductivity 91 -- 4.2.1 Thermal conductivity of bulk silicon 91 -- 4.2.2 Thermal conductivity of silicon thin films 94 -- 4.2.3 Thermal conductivity of silicon nanowires 98 -- 4.2.4 Discussion on Boundary scattering effect 100 -- 4.3 Simulation of heat conduction in devices 102 -- 4.3.1 Simulation method 102 -- 4.3.2 Simple 1?…”
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Materials science, environment protection and applied research : selected, peer reviewed papers from the 2014 2nd International Conference on Environmental Science and Material App...

Table of Contents: “…Study on the Vortex Ring State of Helicopter and Flight Training Operation -- Comparison of Hydrodynamic Performance of Ducted Propeller and Ordinary Propeller on Trawler -- Research on Mechanical Dynamics in DC Servo Motor Adjustment System Based on Applied Technology -- Research on Mechanical Mechanics with Optimization and Upgrading of Public Bicycle System Based on "Wuhan" Mode -- Numerical Simulation of Unsteady Aerodynamic Loads over an Aircraft -- Testing Study and Mechanics Analysis on Fatigue Life of MSD Structure -- The Analysis and Research of Robust Performance Based on the Permanent Magnet Synchronous Linear Motor -- Influence of Gas-Liquid Distribution Inducer on Mass Transfer Coefficient in Rotating Packed Bed -- Finite Element Analysis of Drilling Frame on Down-the-Hole Drill Based on Mechanical Mechanics and Mechanical Properties -- Experimental Study on Critical Load of Compression Column with a Rectangular Cross-Section Based on Material Mechanics -- Down-the-Hole Drill Position Based on Mechanical Mechanics and Binocular Stereo Vision -- Mechanism Study on the Impact of Low Pressure Accumulator with Mechanical Mechanics to Hydraulic Impactor -- Experimental Study on the Influence of Injection Timing on Combustion and Emission of Biodiesel Engine Based on Mechanical Mechanics -- Stress Research and Finite Element Analysis of Pile Clamping Mechanism of Hydraulic Static Pile Driver -- Dynamic Analysis and Applied Technology in New Anti-Jamming Hydraulic System with Fast Response -- Study of Control Method Based on Hydromechanics for Hydraulic Impact of Open Hydraulic System in Concrete Pump -- Mechanical Mechanics and Calculation Method Research for Main Steam Flow of Turbine -- Mechanical Mechanics and Application of High Speed On/Off Valve to Feeding System of Hydraulic Drilling Rig.…”
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Portugal SB07. Sustainable Construction, Materials and Practices : Challenge of the Industry for the New Millennium.

Table of Contents: “…Poly-Optimal Method of Designing Environmentally Friendly Buildings -- Natural Lighting in Office Buildings -- Energy Saving Potencial in Electrical Lighting -- Gypsum Plasters for Energy Conservation -- Implementing the Low Energy Concept into Current Irish Housing Building Delivery Processes -- Issues and Barriers -- Service Life Prediction for Buildings' Design to Plan a Sustainable Building Maintenance -- Durability Design of Metal Structures Based on Lifetime Safety Factor Method -- The Redesign for Residual Service Life of Existing Structures -- The Flexible and Upgradeable Facade Concept for Refurbishment -- Performance Based Design Using Life Cycle Cost Analysis -- Hygrothermal Profiles of Building Elements in the Context of Service Life Design -- Comparison of Two Structural Reuse Options of Two-by-Four Salvaged Lumbers -- Building Deconstruction and Building Heritage Preservation: A Case Study at Porto's World Heritage Historical Centre -- Organisation of Reverse Logistics Tasks in the Construction Industry -- Overview of Deconstruction Activities in Portugal -- Salvageability of Building Materials -- Reusability of Massive Wood Components -- Motives for Design for Disassembly in Building Construction -- Bionic Breathing Skin for Buildings -- An Ecosystem Based Biomimetic Theory for a Regenerative Built Environment -- Practices and Sustainable Principles on the Rural Constructions in Molise Region (Italy) -- Designing the Sustainable City of Tomorrow and Urban Sustainability -- Environmental Performance and Management of Sustainable Urban Projects -- Assessment on Urban Ecosystems -- The Compact City: An Urban Path Towards Sustainability in Arid Areas -- One Planet Living Pioneer Project -- Reflecting About the Emergence of Sustainable Urban Communities -- A Social Ecological Point of View.…”
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Fundamentals of Data Science. by Wagh, Sanjeev J.

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Mrs. McDockerty's knitting by Martinez, Ruth

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Dominic by Steig, William, 1907-2003

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The Mitchells by Van Stockum, Hilda, 1908-2006

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Whiskey tango foxtrot by Shafer, David (Novelist)

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The cricket warrior : a chinese tale by Chang, Margaret Scrogin

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John Keats and Percy Bysshe Shelley : complete poetical works by Keats, John, 1795-1821, Shelley, Percy Bysshe, 1792-1822

Table of Contents: “…this is not what I thought life was' / Percy Bysshe Shelley -- Milton's spirit / Percy Bysshe Shelley -- 'Unrisen splendour of the brightest sun' / Percy Bysshe Shelley -- Pater Omnipotens / Percy Bysshe Shelley -- To the mind of man / Percy Bysshe Shelley -- Dirge for the year / Percy Bysshe Shelley -- To night / Percy Bysshe Shelley.…”
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The literature of the American South : a Norton anthology

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The fungal kingdom

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