Tabla de Contenidos: “…Korea's labour productivity has grown but remains below the OECD average -- 2.1.4. Korea's GDP growth has been supported by a high level of multifactor productivity…”

Tabla de Contenidos: “…-- 4.5 Elements: Defined by Their Numbers of Protons -- 4.6 Looking for Patterns: The Periodic Law and the Periodic Table -- 4.7 Ions: Losing and Gaining Electrons -- Ions and the Periodic Table -- 4.8 Isotopes: When the Number of Neutrons Varies -- 4.9 Atomic Mass: The Average Mass of an Element's Atoms -- CHEMISTRY IN THE ENVIRONMENT: Radioactive Isotopes at Hanford, Washington -- Self-Assessment Quiz -- Key Terms -- Exercises -- Answers to Skillbuilder Exercises -- Answers to Conceptual Checkpoints -- 5 Molecules and Compounds -- 5.1 Sugar and Salt -- 5.2 Compounds Display Constant Composition -- 5.3 Chemical Formulas: How to Represent Compounds -- Polyatomic Ions in Chemical Formulas -- Types of Chemical Formulas -- 5.4 A Molecular View of Elements and Compounds -- Atomic Elements…”

Tabla de Contenidos: “…Chapter Summary -- Answers to Self-Test Exercises -- Programming Projects -- Chapter 3 Flow of Control -- 3.1 BRANCHING MECHANISM -- if-else Statements -- Omitting the else -- Compound Statements -- TIP: Placing of Braces -- Nested Statements -- Multiway if-else Statement -- Example: State Income Tax -- The switch Statement -- PITFALL: Forgetting a break in a switch Statement -- The Conditional Operator -- 3.2 BOOLEAN EXPRESSIONS -- Simple Boolean Expressions -- PITFALL: Using = in Place of == -- PITFALL: Using == with Strings -- Lexicographic and Alphabetic Order -- Building Boolean Expressions -- PITFALL: Strings of Inequalities -- Evaluating Boolean Expressions -- TIP: Naming Boolean Variables -- Short-Circuit and Complete Evaluation -- Precedence and Associativity Rules -- 3.3 LOOPS -- while Statement and do-while Statement -- Algorithms and Pseudocode -- Example: Averaging a List of Scores -- The for Statement -- The Comma in for Statements -- TIP: Repeat N Times Loops -- PITFALL: Extra Semicolon in a for Statement -- PITFALL: Infinite Loops -- Nested Loops -- The break and continue Statements -- The exit Statement -- 3.4 DEBUGGING -- Loop Bugs -- Tracing Variables -- General Debugging Techniques -- Example: Debugging an Input Validation Loop -- Preventive Coding -- Assertion Checks -- 3.5 RANDOM NUMBER GENERATION -- The Random Object -- The Math.random() Method -- Chapter Summary -- Answers to Self-Test Exercises -- Programming Projects -- Chapter 4 Defining Classes I -- 4.1 CLASS DEFINITIONS -- Instance Variables and Methods -- More about Methods -- TIP: Any Method Can Be Used as a void Method -- Local Variables -- Blocks -- TIP: Declaring Variables in a for Statement -- Parameters of a Primitive Type -- PITFALL: Use of the Terms "Parameter" and "Argument" -- Simple Cases with Class Parameters -- The this Parameter…”

Tabla de Contenidos: “…Cover -- Title -- Copyright -- Contents -- Preface -- 1 Atoms -- 1.1 A Particulate View of the World: Structure Determines Properties -- 1.2 Classifying Matter: A Particulate View -- The States of Matter: Solid, Liquid, and Gas -- Elements, Compounds, and Mixtures -- 1.3 The Scientific Approach to Knowledge -- The Importance of Measurement in Science -- Creativity and Subjectivity in Science -- 1.4 Early Ideas about the Building Blocks of Matter -- 1.5 Modern Atomic Theory and the Laws That Led to It -- The Law of Conservation of Mass -- The Law of Definite Proportions -- The Law of Multiple Proportions -- John Dalton and the Atomic Theory -- 1.6 The Discovery of the Electron -- Cathode Rays -- Millikan's Oil Drop Experiment: The Charge of the Electron -- 1.7 The Structure of the Atom -- 1.8 Subatomic Particles: Protons, Neutrons, and Electrons -- Elements: Defined by Their Numbers of Protons -- Isotopes: When the Number of Neutrons Varies -- Ions: Losing and Gaining Electrons -- 1.9 Atomic Mass: The Average Mass of an Element's Atoms -- Mass Spectrometry: Measuring the Mass of Atoms and Molecules -- 1.10 The Origins of Atoms and Elements -- REVIEW -- Self-Assessment Quiz -- Key Learning Outcomes -- Key Terms -- Key Concepts -- Key Equations and Relationships -- EXERCISES -- Review Questions -- Problems by Topic -- Cumulative Problems -- Challenge Problems -- Conceptual Problems -- Answers to Conceptual Connections -- 2 Measurement, Problem Solving, and the Mole Concept -- 2.1 The Metric Mix-up: A 125 Million Unit Error -- 2.2 The Reliability of a Measurement -- Reporting Measurements to Reflect Certainty -- Precision and Accuracy -- 2.3 Density -- 2.4 Energy and Its Units -- The Nature of Energy -- Energy Units -- Quantifying Changes in Energy -- 2.5 Converting between Units -- 2.6 Problem-Solving Strategies -- Units Raised to a Power…”

Tabla de Contenidos: “…Derived Quantities -- 1-6 Converting Units -- 1-7 Order of Magnitude: Rapid Estimating -- A Harder Example-But Powerful -- 1-8 Dimensions and Dimensional Analysis -- Summary -- Questions -- MisConceptual Questions -- Problems -- General Problems -- Search and Learn -- Chapter 2: Describing Motion: Kinematics in One Dimension -- 2-1 Reference Frames and Displacement -- 2-2 Average Velocity -- 2-3 Instantaneous Velocity -- 2-4 Acceleration -- Deceleration -- 2-5 Motion at Constant Acceleration -- 2-6 Solving Problems -- 2-7 Freely Falling Objects -- Additional Example-Using the Quadratic Formula -- 2-8 Graphical Analysis of Linear Motion -- Velocity as Slope -- Slope and Acceleration -- Summary -- Questions -- MisConceptual Questions -- Problems -- General Problems -- Search and Learn -- Chapter 3: Kinematics in Two Dimensions -- Vectors -- 3-1 Vectors and Scalars -- 3-2 Addition of Vectors-Graphical Methods -- 3-3 Subtraction of Vectors, and Multiplication of a Vector by a Scalar -- 3-4 Adding Vectors by Components -- Components -- Adding Vectors -- 3-5 Projectile Motion -- 3-6 Solving Projectile Motion Problems -- Level Horizontal Range -- 3-7 Projectile Motion Is Parabolic -- 3-8 Relative Velocity -- Summary -- Questions -- MisConceptual Questions -- Problems…”

Tabla de Contenidos: “…-- Evolution of CNN architectures -- Developing LeNet from scratch -- Using PyTorch to build LeNet -- Training LeNet -- Testing LeNet -- Fine-tuning the AlexNet model -- Using PyTorch to fine-tune AlexNet -- Running a pretrained VGG model -- Exploring GoogLeNet and Inception v3 -- Inception modules -- 1x1 convolutions -- Global average pooling -- Auxiliary classifiers -- Inception v3 -- Discussing ResNet and DenseNet architectures -- ResNet -- DenseNet -- Understanding EfficientNets and the future of CNN architectures -- Summary -- References -- Chapter 3: Combining CNNs and LSTMs -- Building a neural network with CNNs and LSTMs -- Text encoding demo -- Building an image caption generator using PyTorch -- Downloading the image captioning datasets -- Preprocessing caption (text) data -- Preprocessing image data -- Defining the image captioning data loader -- Defining the CNN-LSTM model -- Training the CNN-LSTM model -- Generating image captions using the trained model -- Summary -- References -- Chapter 4: Deep Recurrent Model Architectures -- Exploring the evolution of recurrent networks -- Types of recurrent neural networks -- RNNs -- Bidirectional RNNs -- LSTMs -- Extended and bidirectional LSTMs -- Multi-dimensional RNNs -- Stacked LSTMs -- GRUs -- Grid LSTMs -- Gated orthogonal recurrent units -- Training RNNs for sentiment analysis…”

“…Cultural associations with a paid workforce employ an average of five paid workers, less than half the overall average. …”

“…It begins with the fundamentals of time series forecasting using statistical modeling methods like AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average), and ARIMA (autoregressive integrated moving-average). …”

“…Across OECD countries, the average age of secondary school teachers has increased by one month every year in the last decade. …”

“…In recent years, the decline in average annual hours of work per person in employment, which can be traced back for over a century, has slowed. …”

“…At an income equivalent to economy-wide average earnings, for example, the average tax burden (in the nine countries studied) is ten percentage points lower for pensioners than it is for workers. …”

“…The share of bus transport of total passenger transport (as a percentage of total inland passenger-kilometres) is slightly above EU average in Finland. Buses account for around 10% of total passenger transport, compared with the EU average of 9% in 2011. …”

“…The effect of the Regional Trade Agreements on pre-existing trade flows are found to be significant with a mean elasticity of substitution at the product level of about 2 so that a 1% preferential margin increases trade by only 2% on average. Total bilateral exports are found to be increased by 18% on average for products benefiting from a preferential margin between 5 and 10%, and by 48% for products where the margin exceeds 10%. …”

“…Policymakers cannot directly adjust the tax burden of labour income, but they can reform the statutory elements of the tax system, which ultimately determine average and marginal tax rates. To shed light on the determinants of average and marginal personal tax rates, this paper discusses historical and cross-country trends in statutory personal income tax rates, the income thresholds where personal income tax and employee social security contribution rates apply, and other statutory provisions that shape the tax burden on labour income in OECD countries. …”

“…However, there is still a large gap in the average tax wedge with the OECD average and regional peers, notably driven by high social security contributions. …”

Tabla de Contenidos: “…6.3.1 Cellulose Insulation -- 6.3.2 Recycled Denim Insulation -- 6.3.3 Wool Insulation -- 6.3.4 Hemp Insulation -- 6.3.5 Cork Insulation -- 6.3.6 Polyurethane Foam Insulation -- 6.4 Phase Change Materials -- 6.4.1 Thermal Energy Storage -- 6.4.2 Passive Cooling -- 6.4.3 Radiant Heating and Cooling -- 6.4.4 Building Envelope -- 6.4.5 Solar Thermal Storage -- 6.5 Recycled Materials -- 6.5.1 Recycled Steel -- 6.5.2 Recycled Concrete -- 6.5.3 Reclaimed Wood -- 6.5.4 Recycled Glass -- 6.5.5 Recycled Insulation -- 6.5.6 Recycled Plastic -- 6.6 Sustainable Wood Products -- 6.6.1 Certified Wood -- 6.6.2 Reclaimed Wood -- 6.6.3 Engineered Wood -- 6.6.4 Bamboo and Cork -- 6.7 Glass-Based Materials -- 6.7.1 Smart Glazing with Micro-Mirrors -- 6.7.2 Low-Emissivity Windows -- 6.7.3 Glass Fiber Panels -- 6.8 Smart Glass -- 6.9 Water-Efficient Fixtures -- 6.9.1 Low-Flow Toilets -- 6.9.2 Low-Flow Showerheads -- 6.9.3 Faucet Aerators and Waterless Urinals -- 6.9.4 Greywater Systems -- 6.10 Energy-Efficient Lighting -- 6.10.1 LED and Task Lighting -- 6.10.2 Occupancy and Daylight Sensors -- 6.10.3 Light Shelves -- 6.11 Solar Panels -- 6.11.1 Rooftop Solar Panels -- 6.11.2 Solar Water and Air Heaters -- 6.11.3 Solar Shading Systems -- 6.12 Smart Lighting -- 6.12.1 Motion and Light Sensors -- 6.12.2 Timer and Networked Lighting Controls -- 6.12.3 Daylight Harvesting and Personalized Lighting -- 6.13 Green Roofing -- 6.13.1 Vegetative and Cool Roofs -- 6.13.2 Solar and Blue Roofs -- 6.13.3 Rooftop Gardens -- 6.14 Smart HVAC Systems -- 6.14.1 Energy-Efficient Equipment and Smart Controls -- 6.14.2 Zoning and Demand-Controlled Ventilation -- 6.14.3 Heat Recovery Systems and Renewable Energy Integration -- 6.15 Radiant Heating and Cooling -- 6.15.1 Radiant Floor Heating and Ceiling Panels -- 6.15.2 Chilled Beams and Radiant Walls…”