Tabla de Contenidos: “…Morelló Baget, H, Fort Robert -- La comercialización marítima de los productos derivados de la viticultura en el litoral valenciano a fines del siglo XVIII / R. Franch Benavent -- Viticultura i redreçament econòmic : Mataró, segle XVII / J. …”

Tabla de Contenidos: “…Drop Weight Tests -- MacPherson Test -- SPI and SGI Tests -- SAGDesign Test -- Bond-based AG/SAG Models -- 5.3.3 Population Balance Models -- Linking to Energy -- Simplified Grinding Model -- 5.3.4 Fundamental Models -- 5.4 Comminution Efficiency -- Possible Standards -- Operating Work Index WiO -- Functional Performance Analysis -- References -- 6 Crushers -- 6.1 Introduction -- 6.2 Primary Crushers -- 6.2.1 Jaw Crushers -- Jaw-crusher Construction -- 6.2.2 Gyratory Crushers -- Gyratory Crusher Construction -- 6.2.3 Crusher Capacity -- 6.2.4 Selection of a Jaw or Gyratory Crusher -- 6.3 Secondary/tertiary Crushers -- 6.3.1 Cone Crushers -- Wet Crushing -- Wear -- 6.3.2 The Gyradisc® Crusher -- 6.3.3 The Rhodax® Crusher -- 6.3.4 A Development in Fine Crushing -- 6.3.5 Roll Crushers -- 6.4 High Pressure Grinding Rolls -- 6.5 Impact Crushers -- 6.5.1 Hammer Mills -- 6.5.2 Impact Mills -- 6.5.3 Vertical Shaft Impact (VSI) Crushers -- Barmac Vertical Shaft Impact Crusher -- Canica Vertical Shaft Impact Crusher -- 6.6 Rotary Breakers -- 6.7 Crushing Circuits and Control -- References -- 7 Grinding Mills -- 7.1 Introduction -- 7.2 Tumbling Mills -- 7.2.1 Motion of the Charge -- 7.2.2 Power Draw -- 7.2.3 Construction of Mills -- Shell -- Mill Ends -- Trunnions and Bearings -- Drive -- Liners -- Mill Feeders -- 7.2.4 Types of Tumbling Mill -- Rod Mills -- Ball Mills -- Autogenous/Semi-autogenous Mills -- 7.2.5 Motor Selection for Tumbling Mills -- Gearless -- Synchronous -- Wound-rotor Induction -- 7.2.6 Sizing Tumbling Mills -- Rod and Ball Mills -- AG/SAG Mills -- 7.3 Stirred Mills -- 7.3.1 Power Draw and Stress Intensity -- Power Draw -- Stress Intensity -- 7.3.2 Sizing Stirred Mills -- Levin Test -- Metso Jar Ball Mill Test -- Signature Plot Technique -- 7.3.3 Mill Types -- TowerMill®/Vertimill® -- Stirred Media Detritor (SMD®) -- IsaMill® -- VXPMill®…”

Tabla de Contenidos: “…-- 9.8 Logistic Regression -- Chapter 10 Numerical Analysis and Montecarlo Simulations -- 10.1 System Identification and Channel Estimation -- 10.1.1 Matlab Code and Results -- 10.2 Frequency Estimation -- 10.2.1 Variable (Coarse/Fine) Sampling -- 10.2.2 Local Parabolic Regression -- 10.2.3 Matlab Code and Results -- 10.3 Time of Delay Estimation -- 10.3.1 Granularity of Sampling in ToD Estimation -- 10.3.2 Matlab Code and Results -- 10.4 Doppler-Radar System by Frequency Estimation -- 10.4.1 EM Method -- 10.4.2 Matlab Code and Results -- Chapter 11 Bayesian Estimation -- 11.1 Additive Linear Model with Gaussian Noise -- 11.1.1 Gaussian A-priori: θN(,σθ2) -- 11.1.2 Non-Gaussian A-Priori -- 11.1.3 Binary Signals: MMSE vs. …”

Tabla de Contenidos: “…20.3 Latest Developments in Optical Remote Sensing -- 20.3.1 Introduction to Representative Optical Satellite Sensors -- 20.4 Processing of Remote Sensing Satellite Images -- 20.4.1 Image Pre-processing -- 20.4.2 Image Processing -- 20.4.3 Image Post-Processing -- 20.5 Applications of Optical Remote Sensing -- 20.5.1 Land-Use and Land-Cover Mapping -- 20.5.2 Urban Vegetation Phenology -- 20.5.3 Urban Heat Island Mapping -- 20.5.4 Rock Outcrops Identification -- 20.6 Summary -- References -- 21 Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar -- 21.1 Synthetic Aperture Radar -- 21.2 Interferometric Synthetic Aperture Radar -- 21.3 Multi-temporal InSAR (MTInSAR) -- 21.4 Applications in Urban Areas -- 21.4.1 Construction of Fine Resolution DEM -- 21.4.2 Subsidence Measurement -- 21.4.3 Monitoring Stability of Infrastructures -- 21.5 Summary -- References -- 22 Airborne LiDAR for Detection and Characterization of Urban Objects and Traffic Dynamics -- 22.1 Introduction -- 22.2 Detection of Urban Objects with ALS and Co-registered Imagery -- 22.2.1 General Strategy -- 22.2.2 Feature Derivation -- 22.2.3 AdaBoost Classification -- 22.3 Detection of Urban Traffic Dynamics with ALS Data -- 22.3.1 Artifacts Effect of Vehicle Motion in ALS Data -- 22.3.2 Detection of Moving Vehicles -- 22.3.3 Concept for Vehicle Velocity Estimation with ALS Data -- 22.4 Experiments and Results -- 22.4.1 Detection of Urban Objects with ALS Data Associated with Aerial Imagery -- 22.4.2 Accuracy Prediction for Vehicle Velocity Estimation Using ALS Aata -- 22.5 Summary -- References -- 23 Photogrammetry for 3D Mapping in Urban Areas -- 23.1 Introduction -- 23.2 Fundamentals of Photogrammetry -- 23.2.1 Image Orientation -- 23.2.2 Bundle Adjustment -- 23.2.3 Image Matching -- 23.3 Advances in Photogrammetry for 3D Mapping in Urban Areas…”

Tabla de Contenidos: “…Régime fiscal des retraites privées dans les pays de l'OCDE -- La fiscalité internationale est relativement exhaustive et fine -- Les collectivités locales bénéficient d'une large autonomie dans le cadre de contrainte... -- Les autorités s'efforcent constamment d'améliorer l'administration de l'impôt -- Tableau 24. …”

Tabla de Contenidos: “…Prêts à remboursement in fine et à amortissement négatif, en pourcentage du total des crédits hypothécaires octroyés, 2000-06 -- Un système financier non bancaire en expansion -- Graphique 2.7. …”

Tabla de Contenidos: “…4.5 Detecting Memory Objects Written by a Kernel -- 5 SnuCL extensions to OpenCL -- 6 Performance evaluation -- 6.1 Evaluation Methodology -- 6.2 Performance -- 6.2.1 Scalability on the medium-scale GPU cluster -- 6.2.2 Scalability on the large-scale CPU cluster -- 7 Conclusions -- Acknowledgments -- References -- Chapter 3: Thread communication and synchronization on massively parallel GPUs -- 1 Introduction -- 2 Coarse-Grained Communication and Synchronization -- 2.1 Global Barrier at the Kernel Level -- 2.2 Local Barrier at the Work-Group Level -- 2.3 Implicit Barrier at the Wavefront Level -- 3 Built-In Atomic Functions on Regular Variables -- 4 Fine-Grained Communication and Synchronization -- 4.1 Memory Consistency Model -- 4.1.1 Sequential consistency -- 4.1.2 Relaxed consistency -- 4.2 The OpenCL 2.0 Memory Model -- 4.2.1 Relationships between two memory operations -- 4.2.2 Special atomic operations and stand-alone memory fence -- 4.2.3 Release and acquire semantics -- 4.2.4 Memory order parameters -- 4.2.5 Memory scope parameters -- 5 Conclusion and Future Research Direction -- References -- Chapter 4: Software-level task scheduling on GPUs -- 1 Introduction, Problem Statement, and Context -- 2 Nondeterministic behaviors caused by the hardware -- 2.1 P1: Greedy -- 2.2 P2: Not Round-Robin -- 2.3 P3: Nondeterministic Across Runs -- 2.4 P4: Oblivious to Nonuniform Data Sharing -- 2.5 P5: Serializing Multikernel Co-Runs -- 3 SM-centric transformation -- 3.1 Core Ideas -- 3.1.1 SM-centric task selection -- Correctness issues -- 3.1.2 Filling-retreating scheme -- 3.2 Implementation -- 3.2.1 Details -- 4 Scheduling-enabled optimizations -- 4.1 Parallelism Control -- 4.2 Affinity-Based Scheduling -- 4.2.1 Evaluation -- 4.3 SM Partitioning for Multi-Kernel Co-Runs -- 4.3.1 Evaluation -- 5 Other scheduling work on GPUs -- 5.1 Software Approaches…”

Tabla de Contenidos: “…Mapping strategies -- 5 Mapping persistent classes -- 5.1 Understanding entities and value types -- 5.1.1 Fine-grained domain models -- 5.1.2 Defining application concepts -- 5.1.3 Distinguishing entities and value types -- 5.2 Mapping entities with identity -- 5.2.1 Understanding Java identity and equality -- 5.2.2 A first entity class and mapping -- 5.2.3 Selecting a primary key -- 5.2.4 Configuring key generators -- 5.2.5 Identifier generator strategies -- 5.3 Entity-mapping options -- 5.3.1 Controlling names -- 5.3.2 Dynamic SQL generation -- 5.3.3 Making an entity immutable -- 5.3.4 Mapping an entity to a subselect -- Summary -- 6 Mapping value types -- 6.1 Mapping basic properties -- 6.1.1 Overriding basic property defaults -- 6.1.2 Customizing property access -- 6.1.3 Using derived properties -- 6.1.4 Transforming column values -- 6.1.5 Generated and default property values -- 6.1.6 The @Temporal annotation -- 6.1.7 Mapping enumerations -- 6.2 Mapping embeddable components -- 6.2.1 The database schema -- 6.2.2 Making classes embeddable -- 6.2.3 Overriding embedded attributes -- 6.2.4 Mapping nested embedded components -- 6.3 Mapping Java and SQL types with converters -- 6.3.1 Built-in types -- 6.3.2 Creating custom JPA converters -- 6.3.3 Extending Hibernate with UserTypes -- Summary -- 7 Mapping inheritance -- 7.1 Table per concrete class with implicit polymorphism…”

Tabla de Contenidos: “…9.4.4 Evaluation Function of Logic Gate -- 9.4.5 Evaluation Function of Automaton -- 9.4.6 Automatically Designed Logic Gates Driven by Hybridization Reaction -- 9.4.7 Automatically Designed AND Gate Driven by Enzymatic Reaction -- 9.4.8 Automatically Designed Automaton Sensing the Stimuli from Environment -- 9.5 Discussion and Conclusion -- 9.5.1 Discussion -- 9.5.2 Conclusion -- References -- 10 Using Evolutionary Algorithms to Study the Evolution of Gene Regulatory Networks Controlling Biological Development -- 10.1 Introduction -- 10.2 Computational Approaches for the Evolution of Developmental GRNs -- 10.2.1 Coarse-Grained Approaches -- 10.2.2 Fine-Grained Approaches -- 10.3 Using Evolutionary Computations to Investigate Biological Evolution -- 10.3.1 Evolvability and Robustness -- 10.3.2 Crossover -- 10.3.3 GRN Outgrowth -- 10.3.4 Characterization of GRN Space -- 10.3.5 Epistasis -- 10.3.6 Body Segmentation -- 10.4 Conclusions -- Acknowledgements -- References -- 11 Evolving GRN-inspired In Vitro Oscillatory Systems -- 11.1 Introduction -- 11.2 PEN DNA Toolbox -- 11.2.1 Overview -- 11.2.2 Simplified Model -- 11.2.3 Internal State of the Templates -- 11.2.4 Sequence Dependence -- 11.2.5 Enzymatic Saturation -- 11.3 Related Work -- 11.4 Framework for Evolving Reaction Networks (ERNe) -- 11.4.1 Encoding -- 11.4.2 Mutations -- 11.4.3 Crossover -- 11.4.4 Speciation -- 11.5 ERNe for the Discovery of Oscillatory Systems -- 11.5.1 Fast-Strong Oscillator -- 11.5.2 Robust-Fast-Strong Oscillatior -- 11.6 Discussion -- 11.7 Conclusion -- References -- IV Application of GRN with EAs -- 12 Artificial Gene Regulatory Networks for Agent Control -- 12.1 Introduction -- 12.2 Computation Model -- 12.2.1 Representation of the Proteins -- 12.2.2 Dynamics -- 12.2.3 Encoding and Genetic Evolution -- 12.3 Visualizing The GRN Abilities…”

Tabla de Contenidos: “…Siglos XIII y XIV / Felipe Mateu y Llopis -- Algunos aspectos del comercio valenciano a fines del siglo XIV / Desamparados Pérez Pérez y Elena Pascual-Leone Pascual -- Aportación a la organización gremial de la industria textil catalana en el siglo XIV / Manuel Riu Riu -- Los funcionarios judíos de Pedro el Grande de Aragón / David Romano Ventura -- Oficis i eines al segle XIV / Elies Serra i Ràfols -- Actividades financieras de la Orden del Temple en la Corona de Aragón / María Vilar Bonet -- Barcelone et Toulouse aux XIIe et XIIIe siècles: esquisse d'une comparaison / Philippe Wolff --…”

Tabla de Contenidos: “…8.2 Methodology -- 8.3 AI-Based Predictive Modeling -- 8.3.1 Linear Regression -- 8.3.2 Random Forests -- 8.3.3 XGBoost -- 8.3.4 SVM -- 8.4 Performance Indices -- 8.4.1 Root Mean Squared Error (RMSE) -- 8.4.2 Mean Squared Error (MSE) -- 8.4.3 R2 (R-Squared) -- 8.5 Results and Discussion -- 8.5.1 Key Performance Metrics (KPIs) During the Model Training Phase -- 8.5.2 Key Performance Index Metrics (KPIs) During the Model Testing Phase -- 8.5.3 K Cross Fold Validation -- 8.6 Conclusions -- References -- Chapter 9 Performance Comparison of Differential Evolutionary Algorithm-Based Contour Detection to Monocular Depth Estimation for Elevation Classification in 2D Drone-Based Imagery -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 Research Methodology -- 9.3.1 Dataset and Metrics -- 9.4 Result and Discussion -- 9.5 Conclusion -- References -- Chapter 10 Bioinspired MOPSO-Based Power Allocation for Energy Efficiency and Spectral Efficiency Trade-Off in Downlink NOMA -- 10.1 Introduction -- 10.2 System Model -- 10.3 User Clustering -- 10.4 Optimal Power Allocation for EE-SE Tradeoff -- 10.4.1 Multiobjective Optimization Problem -- 10.4.2 Multiobjective PSO -- 10.4.3 MOPSO Algorithm for EE-SE Trade-Off in Downlink NOMA -- 10.5 Numerical Results -- 10.6 Conclusion -- References -- Chapter 11 Performances of Machine Learning Models and Featurization Techniques on Amazon Fine Food Reviews -- 11.1 Introduction -- 11.1.1 Related Work -- 11.2 Materials and Methods -- 11.2.1 Data Cleaning and Pre-Processing -- 11.2.2 Feature Extraction -- 11.2.3 Classifiers -- 11.3 Results and Experiments -- 11.4 Conclusion -- References -- Chapter 12 Optimization of Cutting Parameters for Turning by Using Genetic Algorithm -- 12.1 Introduction -- 12.2 Genetic Algorithm GA: An Evolutionary Computational Technique -- 12.3 Design of Multiobjective Optimization Problem…”

Tabla de Contenidos: “…Intro -- Foreword -- Acknowledgments -- Disclaimer -- Contents -- 1 Assessing the State of Smoke Science -- 1.1 Recent Trends -- 1.2 Environmental and Social Context -- 1.3 Overview of This Assessment -- References -- 2 Fuels and Consumption -- 2.1 Introduction -- 2.1.1 Understanding How Fuels Contribute to Smoke -- 2.2 Wildland Fuels -- 2.2.1 Fuel Characteristics -- 2.2.2 Traditional Methods to Estimate Wildland Fuel Loadings -- 2.2.3 Emerging Technologies and Methods -- 2.3 Fuel Consumption -- 2.3.1 Indirect Estimates of Fuel Consumption -- 2.3.2 Direct Measures of Fuel Consumption -- 2.4 Gaps in Wildland Fuels Characterization -- 2.4.1 Scaling from Fine-Scale to Coarse-Scale Fuel Characterization -- 2.4.2 Challenges in Forest Floor Characterization -- 2.4.3 Modeling Spatial and Temporal Dynamics of Wildland Fuels -- 2.5 Vision for Improving Fuel Science in Support of Smoke Science -- 2.6 Science Delivery to Managers -- 2.7 Research Needs -- 2.8 Conclusions -- References -- 3 Fire Behavior and Heat Release as Source Conditions for Smoke Modeling -- 3.1 Introduction -- 3.2 Current State of Science -- 3.2.1 Representing Fire in Smoke Models -- 3.2.2 Remote Sensing -- 3.2.3 Effects of Management Actions -- 3.3 Gaps in Understanding the Link Between Fire Behavior and Plume Dynamics -- 3.3.1 Heat Release -- 3.3.2 Fire Spread -- 3.3.3 Plume Cores -- 3.4 Vision for Improving Smoke Science -- 3.5 Emerging Issues and Challenges -- 3.5.1 Magnitude of Fire and Smoke Impacts -- 3.5.2 Managing Fuels to Minimize Air Quality Impacts -- 3.5.3 Need for Dispersion Climatologies -- 3.5.4 When and Where is Coupled Fire-Atmosphere Modeling Needed? …”

Tabla de Contenidos: “…-- Add a Stroke Border Around My Image? -- Create a Fine-Art Print Border? -- Add My Logo to My Print Layout? …”

Tabla de Contenidos: “…7.2.2 Operating Strategy for Continuous Cooling Crystallizers -- 7.2.3 Plug Flow and Cascade Operation -- 7.2.4 Fluidized Bed Continuous Cooling Crystallizer Designs -- 7.3 Process Design-Examples -- EXAMPLE 7.1 -- EXAMPLE 7.2 -- EXAMPLE 7.3 -- EXAMPLE 7.4 -- EXAMPLE 7.5 -- EXAMPLE 7.6 -- Chapter 8 Evaporative Crystallization -- 8.1 INTRODUCTION -- 8.2 Solubility Diagrams -- 8.2.1 Increasing Solubility -- 8.2.2 Decreasing Solubility -- 8.2.3 Change in Solvent -- 8.3 FACTORS AFFECTING NUCLEATION AND GROWTH -- 8.4 Scale-Up -- 8.5 Equipment -- 8.5.1 Heat Transfer -- 8.5.2 Overconcentration -- 8.5.3 Combination of Evaporation and Cooling -- 8.6 Process Design and Examples -- EXAMPLE 8.1 -- EXAMPLE 8.2 -- EXAMPLE 8.3 -- Chapter 9 Anti-solvent Crystallization -- 9.1 Operation -- 9.1.1 Normal Mode of Addition -- 9.1.2 Reverse Addition -- 9.1.3 Simultaneous Mode of Addition -- 9.1.4 Addition Strategy -- 9.1.5 Seeding -- 9.2 IN-LINE MIXING CRYSTALLIZATION -- 9.3 Process Design and Examples -- EXAMPLE 9.1 -- EXAMPLE 9.2 -- EXAMPLE 9.3 -- EXAMPLE 9.4 -- EXAMPLE 9.5 -- EXAMPLE 9.6 -- EXAMPLE 9.7 -- Chapter 10 Reactive Crystallization -- 10.1 INTRODUCTION -- 10.1.1 Utilization -- 10.1.2 Literature -- 10.2 Control of Particle Size -- 10.2.1 Controlling for Growth -- 10.3 Key Issues in Organic Reactive Crystallization -- 10.3.1 Mixing Issues -- 10.3.2 Mixing and Growth -- 10.3.3 Induction Time and Nucleation -- 10.3.4 Supersaturation Control -- 10.3.5 Seeding -- 10.3.6 Crystal Growth -- 10.3.7 Impurities/Additives -- 10.3.8 Secondary Effects -- 10.4 Creation of Fine Particles-In-Line Reactive Crystallization -- 10.5 Process Design and Scale-Up -- EXAMPLE 10.1 -- EXAMPLE 10.2 -- EXAMPLE 10.3 -- EXAMPLE 10.4 -- Chapter 11 Filtration -- 11.1 INTRODUCTION -- 11.2 BASIC PROPERTIES -- 11.2.1 Particle Size -- 11.2.2 Filter Medium -- 11.2.3 Wash Solvents…”

Tabla de Contenidos: “…In alto la lesena del lato ovest si allarga fino a giungere a filo con l'arco di fase 2.…”

Tabla de Contenidos: “…3.6 Ways to Overcome the Barriers of Planning/Means to Reduce the Limitations of Planning -- 3.7 Types of Plans -- 3.7.1 Strategic Plans -- 3.7.2 Tactical Plans -- 3.7.3 Specific Plans -- 3.7.4 Directional Plans -- 3.7.5 Long-Range Plans -- 3.7.6 Short-Range Plans -- 3.7.7 Operational Plans -- 3.7.8 Contingency Plan -- 3.7.9 Derivative Plan -- 3.7.10 Master Plan -- 3.8 Management by Objectives (MBO) -- 3.8.1 Steps of MBO Process -- 3.9 Essentials of a Good Plan -- 3.10 Meaning and Concept of Forecasting -- 3.11 Steps of Forecasting -- 3.11.1 Specification of Purpose of Forecasting -- 3.11.2 Gathering and Organizing Data -- 3.11.3 Selection and/or Formulation of the Forecasting Technique -- 3.11.4 Estimating the Future -- 3.11.5 Implementation of the Forecasts Made -- 3.11.6 Comparing Actual Results with the Forecasted Ones -- 3.11.7 Fine-Tuning the Forecasting Process -- 3.12 Techniques of Forecasting -- 3.12.1 Quantitative Techniques -- 3.12.2 Qualitative Techniques -- 3.13 Importance/Advantages of Forecasting -- 3.14 Limitations of Forecasting -- Summary -- Keywords -- Question Bank -- References -- Chapter 4: Organizing -- 4.1 Organization: Concept and Definition -- 4.1.1 Organization as a Process -- 4.1.2 Organization as a Framework of Internal Relationships -- 4.1.3 Difference Between Dynamic and Static Concepts of Organization -- 4.2 Characteristics of Organization -- 4.3 Comparison Between Traditional and Modern Organization -- 4.4 Importance of Organizing -- 4.5 Principles of Organizing -- 4.6 Features of a Sound Organization -- 4.7 Functions of Organizing -- 4.8 Process or Steps in Organizing -- 4.9 Organizing Versus Management -- 4.10 Organization Structure: Concept and Definition -- 4.10.1 Factors Influencing the Choice of Organization Structure -- 4.10.2 Elements of Organization Structure -- 4.10.3 Advantages of Organization Structure…”

Tabla de Contenidos: “…Morelló Baget, H, Fort Robert -- La comercialización marítima de los productos derivados de la viticultura en el litoral valenciano a fines del siglo XVIII / R. Franch Benavent -- Viticultura i redreçament econòmic : Mataró, segle XVII / J. …”

“…Schopenhauer y Nietzsche eran lecturas habituales a fines del siglo XIX, y Simmel en particular los había frecuentado. …”

“…The book Urban Atmospheric Aerosols: Sources, Analysis, and Effects highlights important aspects concerning the chemical and optical properties, size distribution, sources, and potential health effects of fine urban air particles (PM2.5). The physical and chemical characterization of PM2.5, its source assignment, and the assessment of the magnitude and distribution of its emissions are crucial for establishing effective fine air particle regulations and assessing the associated risks to human health. …”

“…The different contributions deal with issues such as the sediment transport modeling; sediment dynamics in stream confluence or river diversion, in meandering channels, at interconnected tidal channels system; changes in sediment transport under fine materials, cohesive materials and ice cover; environmental remediation of contaminated fine sediments. …”