Tabla de Contenidos: “…8.3.8 Concentration of particles -- 8.3.9 Membrane material -- 8.4 VARIABLES AND APPLICATIONS OF THE MFI-UF -- 8.4.1 Plant profiling and water quality monitoring -- 8.4.2 Flux rate -- 8.4.3 Predicting rate of fouling of seawater RO systems -- 8.4.4 Comparing fouling indices -- 8.5 REFERENCES -- Part 3: Inorganic fouling and scaling -- Chapter 9: Inorganic Fouling: Characterization Tools and Mitigation -- 9.1 INTRODUCTION -- 9.2 MAIN COMPONENTS OF INORGANIC FOULING -- 9.2.1 Colloidal matter/particulate -- 9.2.2 Metals -- 9.2.3 Scaling -- 9.2.4 OTHER COMPONENTS -- 9.3 METHODS FOR INORGANIC FOULING IDENTIFICATION -- 9.4 METHODS FOR INORGANIC FOULING REMOVAL -- 9.5 REFERENCES -- Chapter 10: Assessing Scaling Potential with Induction Time and a Once-through Laboratory Scale RO System -- 10.1 INTRODUCTION -- 10.2 INDUCTION TIME MEASUREMENTS -- 10.2.1 Experimental setup -- 10.2.1.1 Glass reactor -- 10.2.1.3 pH meter -- 10.2.1.4 Peristaltic pump -- 10.2.1.5 Thermostat -- 10.2.2 Experimental procedure -- 10.2.2.1 Preparation of artificial brackish water -- 10.2.2.2 Induction time measurement -- 10.2.3 Calculation of induction time -- 10.2.4 Cleaning of the reactor -- 10.2.5 Example of application of induction time -- 10.3 ONCE THROUGH LAB-SCALE RO SYSTEM -- 10.3.1 Experimental set-up -- 10.3.2 Experimental protocol -- 10.3.3 Example of application -- 10.4 OUTLOOK AND FINAL COMMENTS -- 10.5 REFERENCES -- Part 4: Organic fouling -- Chapter 11: Practical Considerations of Using LC-OCD for Organic Matter Analysis in Seawater -- 11.1 INTRODUCTION -- 11.2 LC-OCD ANALYSIS -- 11.2.1 Instrumentation and chromatogram integration -- 11.2.2 Effect of salinity on organic characterization and calibration -- 11.2.3 LEVEL OF DETECTION -- 11.2.4 REPRODUCIBILITY OF LC-OCD -- 11.2.5 CHARACTERISATION OF ORGANIC MIXTURES -- 11.2.6 Applications…”

Tabla de Contenidos: “…20.7 The Power Triangle -- 20.8 The Total P, Q, and S -- 20.9 Power-Factor Correction -- 20.10 Power Meters -- 20.11 Effective Resistance -- 20.12 Applications -- 20.13 Computer Analysis -- 21 Resonance -- 21.1 Introduction -- 21.2 Series Resonant Circuit -- 21.3 The Quality Factor (Q) -- 21.4 ZT Versus Frequency -- 21.5 Selectivity -- 21.6 VR, VL, and VC -- 21.7 Practical Considerations -- 21.8 Summary -- 21.9 Examples (Series Resonance) -- 21.10 Parallel Resonant Circuit -- 21.11 Selectivity Curve for Parallel Resonant Circuits -- 21.12 Effect of Ql Q1 ≥10 -- 21.13 Summary Table -- 21.14 Examples (Parallel Resonance) -- 21.15 Applications -- 21.16 Computer Analysis -- 22 Decibels, Filters, and Bode Plots -- 22.1 Introduction -- 22.2 Properties of Logarithms -- 22.3 Decibels -- 22.4 Filters -- 22.5 R-C Low-Pass Filter -- 22.6 R-C High-Pass Filter -- 22.7 Band-Pass Filters -- 22.8 Band-Stop Filters -- 22.9 Double-Tuned Filter -- 22.10 Other Filter Configurations -- 22.11 Bode Plots -- 22.12 Sketching the Bode Response -- 22.13 Low-Pass Filter with Limited Attenuation -- 22.14 High-Pass Filter with Limited Attenuation -- 22.15 Additional Properties of Bode Plots -- 22.16 Crossover Networks -- 22.17 Applications -- 22.18 Computer Analysis -- 23 Transformers -- 23.1 Introduction -- 23.2 Mutual Inductance -- 23.3 The Iron-Core Transformer -- 23.4 Reflected Impedance and Power -- 23.5 Impedance Matching, Isolation, and Displacement -- 23.6 Equivalent Circuit (Iron-Core Transformer) -- 23.7 Frequency Considerations -- 23.8 Series Connection of Mutually Coupled Coils -- 23.9 Air-Core Transformer -- 23.10 Nameplate Data -- 23.11 Types of Transformers -- 23.12 Tapped and Multiple-Load Transformers -- 23.13 Networks with Magnetically Coupled Coils -- 23.14 Current Transformers -- 23.15 Applications -- 23.16 Computer Analysis -- 24 Polyphase Systems…”

Tabla de Contenidos: “…Intro -- Contents -- Editors -- List of Contributors -- Chemicals Alternatives Assessment (CAA): Tools for Selecting Less Hazardous Chemicals -- 1.1 Introduction to Chemicals Alternatives Assessments -- 1.2 Common Traits Among CAA Paradigms -- 1.2.1 Step One: Hazard Assessment Through Literature Search and Data Identification -- 1.2.2 Step Two: Hazard Classification and Benchmarking of Relevant Data -- 1.2.3 Step Three: CAA Report Preparation -- 1.3 Life-cycle Assessment and Chemicals Alternatives Assessment -- 1.4 Chemical Alternatives Assessment Paradigms in Use: a Critical Evaluation -- 1.4.1 US EPA's Design for the Environment (DfE) -- 1.4.2 CPA's GreenScreenTM -- 1.4.3 Cradle to Cradle® (C2C) -- 1.4.4 TURI's Pollution Prevention Options Analysis System (P2OASys) -- 1.4.5 The Chemical Scoring and Ranking Assessment Model (SCRAM) -- 1.4.6 Chemicals Assessment and Ranking System (CARS) -- 1.4.7 SC Johnson &amp -- Son's GreenlistTM -- 1.4.8 PRIO -- 1.4.9 The Quick Scan -- 1.4.10 The Column Model and GHS Column Model -- 1.4.11 Evaluation Matrix -- 1.5 Challenges Facing Chemicals Alternatives Assessment Methods -- 1.5.1 Chemicals Alternatives Assessments and Data Gaps -- 1.6 Conclusion -- References -- European Initiatives for Selecting Sustainable Flame Retardants -- 2.1 Introduction - What are Flame Retardants? …”

Tabla de Contenidos: “…4.4.2 Experimental Design for A/B Tests -- 4.4.3 Setting Up A/B Tests: A Step-by-Step Guide -- 4.4.4 Statistical Significance in A/B Tests -- 4.4.5 Advanced A/B Testing Techniques -- 4.4.6 Potential Pitfalls in A/B Testing -- 4.4.7 Interpreting A/B Test Results -- 4.5 Hypothesis Testing in Marketing -- 4.5.1 Introduction to Hypothesis Testing -- 4.5.2 Common Hypothesis Tests in Marketing -- 4.5.3 Significance Levels and P-Values -- 4.6 Customer Segmentation and Processing -- 4.6.1 K-Means Clustering -- 4.6.2 Hierarchical Clustering in Customer Segmentation -- 4.6.3 Recency, Frequency, Monetary Analysis in Marketing -- 4.7 Practical Examples: Inferential Analytics for Customer Segmentation and Hypothesis Testing for Marketing Campaign Performance -- 4.7.1 Inferential Analytics for Customer Segmentation -- 4.7.2 Hypothesis Testing for Marketing Campaign Performance -- 4.8 Conclusion -- 4.9 References -- Chapter 5 Predictive Analytics and Machine Learning -- 5.1 Introduction -- 5.1.1 Overview of Predictive Analytics -- 5.1.2 Machine Learning in Marketing -- 5.1.3 Common Challenges in Predictive Analytics and Machine Learning in Marketing -- 5.1.4 Misconceptions in Predictive Analytics and Machine Learning in Marketing -- 5.2 Predictive Analytics Techniques -- 5.2.1 Linear and Logistic Regression -- 5.2.2 Time Series Forecasting -- 5.3 Machine Learning Techniques -- 5.3.1 Supervised Learning for Marketing -- 5.3.2 Unsupervised Learning for Marketing -- 5.3.3 Reinforcement Learning for Marketing -- 5.4 Model Evaluation and Selection -- 5.4.1 Model Accuracy, Precision, and Recall -- 5.4.2 ROC Curves and AUC -- 5.4.3 Cross-Validation Techniques -- 5.4.4 Model Complexity and Overfitting -- 5.5 Churn Prediction, Customer Lifetime Value, and Propensity Modeling -- 5.5.1 Understanding Churn and Its Importance -- 5.5.2 CLV Computation and Applications…”

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“…Comparant les diferents branques d'intervenció no es van trobar diferències d'èxit a les 52 setmanes (χ2=4,90; df=2; p<0,08). Encara que sí es van trobar diferències en comparar el grup telefònic amb el presencial (20,1% vs 27,9%; χ2=3,79; df=1; p<0,01) i el grup telefònic amb el semipresencial (20,1% vs 29,0%; χ2=4,22; df=1; p<0,001). …”
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Tabla de Contenidos: “…., Vilches, D. y Borrás, P.A. -- 3.4. Análisis, evaluación, instrumentación: Cuestionarios y escalas. …”

Tabla de Contenidos: “…[Impreso] En la villa de Madrid a treze dias del mes de Mayo de mil y seiscientos y treinta y quatro años, en el Real Consejo de las Ordenes de su Magestad se presentò la peticion siguiente . M . P . S . El Licenciado Pisa Dauila, Fiscal de V . …”

Tabla de Contenidos: “….) -- «NUNCA MÁS» EN AMÉRICA LATINA -- NUNCA MÁS, ARGENTINA -- O -- OBJETO -- OPERACIÓN CÓNDOR -- OLVIDO -- P -- PACTO DE SILENCIO -- PAISAJES…”