Tabla de Contenidos: “…Removal -- 7.1 Introduction -- 7.2 Carbon-Allotropes: Synthesis Methods, Applications and Future Perspectives -- 7.3 Reaffirmations of Heavy Metal Contaminations in Water and Their Toxic Effects -- 7.3.1 Copper -- 7.3.2 Zinc -- 7.3.3 Lead -- 7.3.4 Cadmium -- 7.3.5 Arsenic -- 7.4 Technology is Used to Treat Heavy Ions of Metal -- 7.4.1 Chemical Precipitation -- 7.4.2 Ion-Exchange -- 7.4.3 Adsorption -- 7.4.4 Membrane Filtration -- 7.4.5 Electrodialysis -- 7.4.6 Flotation -- 7.4.7 Electrochemical Treatment -- 7.4.8 Electroflotation -- 7.4.9 Coagulation and Flocculation -- 7.5 Factors Influencing How Heavy Metal Ions Adhere to CNTs -- 7.5.1 pH -- 7.5.2 Ionic Strength -- 7.5.3 CNT Dosage -- 7.5.4 Contact Time -- 7.5.5 Temperature -- 7.5.6 Thermodynamic Variables -- 7.5.7 CNT Regeneration -- 7.5.8 Isotherm Equation -- 7.5.9 Current Issues and the Need for Additional Study -- 7.6 Conclusions -- Acknowledgments -- References -- Chapter 8 Carbon Allotropes in Phenolic Compounds Removal -- 8.1 Introduction -- 8.2 Carbon Materials in Phenol Removal -- 8.2.1 Activated Carbon -- 8.2.2 Graphene -- 8.2.3 Carbon Nanotubes -- 8.2.4 Graphene Oxide and Reduced Graphene Oxide -- 8.2.5 Graphitic Carbon Nitride -- 8.2.6 Carbon Materials in the Biodegradation of Phenols -- 8.3 Conclusions -- References -- Chapter 9 Carbon Allotropes in Carbon Dioxide Capturing -- 9.1 Introduction -- 9.1.1 Importance of Carbon Allotropes in Carbon Dioxide Capturing -- 9.2 Main Part -- 9.2.1 Polymer-Based Carbon Allotropes in Carbon Dioxide Capturing…”

Tabla de Contenidos: “…Cover -- Titel -- Impressum -- Inhaltsverzeichnis -- Zum Geleit -- Danksagung -- Inventar der Quellen des BLHA zur brandenburgischen Militärgeschichte 1914-1945 -- Benutzungshinweise -- Rep. 1 Oberpräsident der Provinz Brandenburg -- Rep. 1A Staatliche Verteilungsstelle für Groß- Berlin -- Rep. 1B Provinzial- Fleischstelle für die Provinz Brandenburg -- Rep. 2A Regierung Potsdam I Hb -- Rep. 2A Regierung Potsdam I HG -- Rep. 2A Regierung Potsdam I Kat -- Rep. 2A Regierung Potsdam I Kom -- Rep. 2A Regierung Potsdam I LW -- Rep. 2A Regierung Potsdam I Med -- Rep. 2A Regierung Potsdam I P -- Rep. 2A Regierung Potsdam I Pol -- Rep. 2A Regierung Potsdam I RHK -- Rep. 2A Regierung Potsdam I S -- Rep. 2A Regierung Potsdam I SW -- Rep. 2A Regierung Potsdam I V -- Rep. 2A Regierung Potsdam II Gen -- Rep. 2A Regierung Potsdam II J -- Rep. 2A Regierung Potsdam II OH -- Rep. 2A Regierung Potsdam II Pdm -- Rep. 2A Regierung Potsdam II T -- Rep. 2A Regierung Potsdam II Tp -- Rep. 2A Regierung Potsdam III D -- Rep. 2A Regierung Potsdam III F -- Rep. 2A Regierung Potsdam Karten -- Rep. 3B Regierung Frankfurt (Oder) I E -- Rep. 3B Regierung Frankfurt (Oder) I Hb -- Rep. 3B Regierung Frankfurt (Oder) I HG -- Rep. 3B Regierung Frankfurt (Oder) I Kom -- Rep. 3B Regierung Frankfurt (Oder) I KR -- Rep. 3B Regierung Frankfurt (Oder) I Med -- Rep. 3B Regierung Frankfurt (Oder) I Mil -- Rep. 3B Regierung Frankfurt (Oder) I Pol -- Rep. 3B Regierung Frankfurt (Oder) I Präs. -- Rep. 3B Regierung Frankfurt (Oder) I S -- Rep. 3B Regierung Frankfurt (Oder) I SW -- Rep. 3B Regierung Frankfurt (Oder) I V -- Rep. 3B Regierung Frankfurt (Oder) Abt. …”

Tabla de Contenidos: “…Acceptability aspects: Taste, odour and appearance -- 10.1 Biologically derived contaminants -- Actinomycetes and fungi -- Cyanobacteria and algae -- Invertebrate animal life -- Iron bacteria -- 10.2 Chemically derived contaminants -- Aluminium -- Ammonia -- Chloramines -- Chloride -- Chlorine -- Chlorobenzenes -- Chlorophenols -- Colour -- Copper -- Dissolved oxygen -- Ethylbenzene -- Hardness -- Hydrogen sulfide -- Iron -- Manganese -- Petroleum oils -- pH and corrosion -- Sodium -- Styrene -- Sulfate -- Synthetic detergents -- Toluene -- Total dissolved solids -- Turbidity -- Xylenes -- Zinc -- 10.3 Treatment of taste, odour and appearance problems -- 10.4 Temperature -- 11. …”

Tabla de Contenidos: “…24.9 Decibels -- 25 - Image and Video Compression Fundamentals -- 25.1 Baseline JPEG -- 25.2 DC Scaling -- 25.3 Quantization Tables -- 25.4 Entropy Coding -- 25.5 JPEG Extensions -- 25.6 Video Compression Basics -- 25.7 Block Size -- 25.8 Motion Estimation -- 25.9 Frame Processing Order -- 25.10 Compressing I Frames -- 25.11 Compressing P Frames -- 25.12 Compressing B Frames -- 25.13 Rate Control and Buffering -- 25.14 Quantization Scale Factor -- 26 - Introduction to Machine Learning -- 26.1 Convolutional Neural Networks -- 26.2 Convolution Layer -- 26.3 Rectified Linear Unit Layer -- 26.4 Normalization Layer -- 26.5 Max-Pooling Layer -- 26.6 Fully Connected Layer -- 26.7 Training Computational Neural Networks -- 26.8 Winograd Transform -- 26.9 Convolutional Neural Network Numerical Precision Requirements -- 27 - Implementation Using Digital Signal Processors -- 27.1 Digital Signal Processing Processor Architectural Enhancements -- 27.1.1 Data I/O Bandwidth -- 27.1.2 Core Processing -- 27.1.3 Multiple Cores or Hardware Coprocessors -- 27.2 Scalability -- 27.3 Floating Point -- 27.4 Design Methodology -- 27.5 Managing Resources -- 27.6 Ecosystem -- 28 - Implementation Using FPGAs -- 28.1 FPGA Design Methodology -- 28.2 DSP Processor or FPGA Choice -- 28.3 Design Methodology Considerations -- 28.4 Dedicated Digital Signal Processing Circuit Blocks in FPGAs -- 28.4.1 Adjustable Precision Multipliers -- 28.4.2 Accumulator -- 28.4.3 Postadder (Subtractor) and Distributed Adder -- 28.4.4 Preadder (Subtractor) -- 28.4.5 Coefficient Storage -- 28.4.6 Barrel Shifter -- 28.4.7 Rounding and Saturation -- 28.4.8 Arithmetic Logic Unit Operations and Boolean Operations -- 28.4.9 Specialty Operations -- 28.4.10 Tco and Fmax -- 28.5 Floating Point Implementation Using FPGAs -- 28.6 Ecosystem -- 28.7 Future Trends -- 29 - Implementation With GPUs…”

Tabla de Contenidos: “…3.1.7 Portfolio Return -- 3.2 Concept and Measurement of Risk -- 3.2.1 Sources of Risk -- 3.2.2 Risk in Case of a Single Investment -- 3.3 Portfolio Risk -- 3.4 The Capital-Asset-Pricing Model (CAPM) -- 3.4.1 Systematic Risk versus Unsystematic Risk -- 3.4.2 Measurement of Systematic Risk and Determinants of Beta -- 3.4.3 Beta and the Required Rate of Investment -- 3.4.4 Security Market Line -- 3.4.5 Appraisal of CAPM -- Summary -- Points to Remember -- Descriptive Questions -- Objective-type Questions -- Numerical Problems -- Solved Numerical Problems -- References -- Select Further Readings -- Chapter 4: Valuation of the Firm -- 4.1 Various Concepts of Value -- 4.1.1 Intrinsic Value -- 4.1.2 Market Value -- 4.1.3 Book Value -- 4.1.4 Liquidation Value -- 4.1.5 Going-concern Value -- 4.1.6 Replacement Value -- 4.2 Valuation of Bonds or Debentures -- 4.2.1 Valuation of Bonds with Fixed Maturity -- 4.2.2 Perpetual Bonds -- 4.3 Factors Influencing Bond Valuation -- 4.3.1 Discount Rate versus Coupon Rate -- 4.3.2 Maturity and Value of Bonds -- 4.3.3 Yield to Maturity -- 4.3.4 Duration and the Bond Price -- 4.3.5 Riskiness and the Value of Bond -- 4.4 Valuation of Preference Shares -- 4.5 Valuation of Ordinary Shares -- 4.5.1 Single-period Analysis -- 4.5.2 Multi-period Analysis -- 4.5.3 P/E Ratio Approach to Equity Valuation -- Summary -- Points to Remember -- Descriptive Questions -- Objective-type Questions -- Numerical Problems -- Solved Numerical Problems -- Reference -- Select Further Reading -- Appendix A -- Appendix B -- Part II: Long-term Investment Decision -- Chapter 5: Principles of Capital Budgeting -- 5.1 Nature of Capital Budgeting -- 5.1.1 Meaning and Significance -- 5.1.2 Types of Proposals -- 5.1.3 Steps in Capital Budgeting Process -- 5.2 The Concept of Cash Flows -- 5.2.1 Nature and Timing of Cash Flows…”

Tabla de Contenidos: “…12.2.3 Inflation Measures in India -- 12.3 History of the WPI in India -- 12.4 Trends in Inflation -- 12.4.1 Wholesale Price Index -- 12.4.2 Consumer Price Indices -- 12.5 Conclusion -- References -- Chapter 13: External Sector Reforms in India -- 13.1 Introduction -- 13.2 External Sector Reforms: Some Historical Antecedents -- 13.2.1 Import Substitution -- 13.2.2 Export Promotion -- 13.2.3 The 1991 Crisis -- 13.3 Trade Policy Reforms -- 13.3.1 Exchange Rate Reform and Current Account Convertibility -- 13.3.2 Capital Account Convertibility -- 13.3.3 Import Liberalization -- 13.3.4 Export Liberalization -- 13.3.5 Liberalization of Capital Flows -- 13.4 Conclusion -- Endnotes -- References -- Chapter 14: Trends and Patterns of Merchandise Exports and Imports of India in the Post-Liberalization Era -- 14.1 Introduction -- 14.2 Policy Changes in the 1990s -- 14.3 India and Global Trade -- 14.4 Export-Import and Trade Balance as Percentage of GDP -- 14.5 Growth Rate of Export and Import -- 14.6 Composition of Exports -- 14.6.1 Export Commodity Basket -- 14.7 Import Commodity Basket -- 14.8 Direction of Trade -- 14.8.1 Direction of Exports -- 14.8.2 Direction of Imports -- 14.9 Global Slowdown and India's Trade -- 14.10 Conclusion -- References -- Chapter 15: Foreign Direct Investment in India in the Post-1991 Period -- 15.1 Introduction -- 15.1.1 Foreign Savings and Investment -- 15.1.2 Crowding-In and Crowding-Out Impacts of FDI -- 15.1.3 Foreign Investment and BoP in India -- 15.2 Foreign Investment in India in the Reform Period -- 15.3 FDI: Sources and Direction -- 15.3.1 Sources and Origin of Foreign Direct Investment -- 15.3.2 Direction of Foreign Direct Investment -- 15.4 India's Share in Global FDI Inflows -- 15.5 Conclusion -- Annexure 15.1 -- Annexure 15.2 -- Endnote -- References -- Chapter 16: World Trade Organization and Indian Economy…”

Tabla de Contenidos: “…8.1 Introduction -- 8.2 Decision‐making in a Dynamic Environment -- 8.3 Principles (Guidelines) for Modeling Decision‐making -- 8.3.1 Principle of Knowability -- 8.3.2 Principle of Correspondence -- 8.3.3 Principle of Requisite Action -- 8.3.4 Principle of Robustness -- 8.3.5 Principle of Transience -- 8.4 Grounded Development of Decision‐making Processes -- 8.4.1 Archival Cases -- 8.4.2 Ethnography -- 8.4.3 Field Studies -- 8.4.4 Interviews -- 8.4.5 Time Series and Econometric Methods -- 8.4.6 Experimental Results and Decision‐making Theory -- 8.5 Formulation Development and Calibration Example -- 8.5.1 Erosion of Service Quality -- 8.5.1.1 Employees' Effort Allocation -- 8.5.1.2 Decision Rule in Context -- 8.5.2 Dynamic Problem Solving -- 8.5.2.1 Clinicians' Cue Interpretation -- 8.5.2.2 Decision Rule in Context -- 8.6 Conclusion -- References -- Part III Applications within Operations Management -- Chapter 9 Behavioral Foundations of Queueing Systems -- 9.1 Introduction and Framework -- 9.2 The Customer -- 9.2.1 Disutility of Waiting (cT) -- 9.2.1.1 Waiting Cost (cw, cs) -- 9.2.1.2 Waiting Time (Tw, Ts) -- 9.2.2 Quality (v) -- 9.2.3 Abandonments (P(v ≥ θi)) -- 9.2.4 Arrivals (λ) -- 9.2.5 Queue Discipline (λ w) -- 9.2.6 Service Speed (μ) -- 9.3 The Server -- 9.3.1 Work Speed (μ) -- 9.3.2 Work Content (w) -- 9.3.3 Work Sequence (λ w) -- 9.3.4 Quality (v) -- 9.4 The Manager -- 9.4.1 Ambience -- 9.4.2 Capacity -- 9.4.3 Discipline -- 9.4.4 Incentives -- 9.4.5 Information -- 9.4.6 Layout -- 9.4.7 Task -- 9.5 Testing Queueing Theory in the Laboratory -- 9.6 Conclusions and Future Research Opportunities -- References -- Chapter 10 New Product Development and Project Management Decisions -- 10.1 Exploration: The Creative Process -- 10.1.1 Brainstorming -- 10.1.2 Innovation Contests -- 10.1.3 Open Innovation -- 10.2 Plan: From Creative to Reality…”

Tabla de Contenidos: “…ITITO and ITPM general overview -- 2.1 Product overview and Web clusters -- 2.1.1 Web clusters -- 2.2 Architecture overview and terminology -- 2.2.1 Terminology -- 2.2.2 Architecture -- 2.3 Integration with other IBM products -- 2.3.1 Tivoli Management Agents -- 2.3.2 IBM Tivoli Configuration Manager -- 2.3.3 zSeries Linux -- 2.3.4 iSeriesTM Linux -- 2.3.5 pSeries -- Part 2 Preparation and installation -- Chapter 3. …”

Tabla de Contenidos: “…8.4.3 Setting of the Temperature Sensor -- 8.4.4 Accuracy -- References -- 9 SoC Estimation of a Battery -- 9.1 Different Understandings of the SoC Definition -- 9.1.1 Difference on the Understanding of SoC -- 9.1.2 Difference and Relation Between SoC and SoP as Well as SoE -- 9.2 Classical Estimation Methods -- 9.2.1 Coulomb Counting Method -- 9.2.2 Open Circuit Voltage Method -- 9.2.3 A Compromised Method -- 9.2.4 Estimation Methods Not Applicable for the Lithium-Ion Battery -- 9.3 Difficulty in an SoC Estimation -- 9.3.1 Difficulty in an Estimation Resulting from Inaccurate Battery State Monitoring -- 9.3.2 Difficulty in an Estimation Resulting from Battery Difference -- 9.3.3 Difficulty in an Estimation Resulting from an Uncertain Future Working Condition -- 9.3.4 Difficulty in an Estimation Resulting from an Uncertain Battery Usage History -- 9.4 Actual Problems to Be Considered During an SoC Estimation -- 9.4.1 Safety of the Electric Vehicle -- 9.4.2 Feasibility -- 9.4.3 Actual Requirements of Drivers -- 9.5 Estimation Method Based on the Battery Model and the Extended Kalman Filter -- 9.5.1 Common Complicated Estimation Method -- 9.5.2 Advantages of a Kalman Filter in an SoC Estimation -- 9.5.3 Combination of an EKF and a Lithium-Ion Battery Model -- 9.5.4 Implementation Rule of the EKF Algorithm -- 9.5.5 Experimental Verification -- 9.6 Error Spectrum of the SoC Estimation Based on the EKF -- 9.6.1 Estimation Error Caused by the Inaccurate Battery Model -- 9.6.2 Estimation Error Resulting from a Measurement Error of the Sensor -- 9.6.3 Factors Affecting SoC Estimation Accuracy -- References -- 10 Charge Control -- 10.1 Introduction -- 10.2 Charging Power Categories -- 10.3 Charge Control Methods -- 10.3.1 Semi-constant Current -- 10.3.2 Constant Current (CC) -- 10.3.3 Constant Voltage (CV) -- 10.3.4 Constant Power (CP)…”

Tabla de Contenidos: “…9.1.6 Probleme mit der Rechtschreibprüfung beheben -- 9.1.7 Defektes Benutzerwörterbuch -- 9.2 Grammatik und Stil prüfen -- 9.2.1 Übereifrige Grammatik- und Stilprüfung korrigieren -- 9.2.2 Worthäufigkeit ermitteln -- Kapitel 10: Suchen und ersetzen -- 10.1 Text suchen -- 10.1.1 Alle Fundstellen anzeigen -- 10.1.2 Suchbegriff direkt ansteuern -- 10.2 Suche spezifizieren -- 10.2.1 Nach Textmerkmalen (z.B. fett oder kursiv) suchen -- 10.2.2 Nach Sonder- und Steuerzeichen suchen -- 10.2.3 Spezialitäten bei der Leerzeichensuche -- 10.3 Suchen mit Platzhaltern (Mustervergleich) -- 10.3.1 Die Platzhalter-Codes -- 10.3.2 Platzhaltersuche gibt Fehlermeldung aus -- 10.4 Ersetzen -- 10.4.1 Klein- und Großschreibung beim Ersetzen -- 10.4.2 Ergänzen statt ersetzen -- 10.4.3 Formatierungen ändern (z.B. fett zu kursiv) -- 10.5 Wörter vertauschen und entfernen -- 10.5.1 Suchbegriff nur unter bestimmten Bedingungen ändern -- 10.5.2 Teile des Suchbegriffs weglassen -- Kapitel 11: Text gestalten -- 11.1 Schriftattribute -- 11.1.1 Schriftgröße oder Schriftgrad -- 11.1.2 Fett und kursiv erscheinen nicht korrekt -- 11.1.3 Automatische Umwandlung von *Fett*- und _Kursiv_kennzeichnungen -- 11.1.4 Standardschrift umstellen -- 11.2 Unterstreichen -- 11.2.1 Unterstrich durchschneidet Unterlängen bei g j p q und y -- 11.2.2 Ungewollte »Unterstreichungen« entfernen -- 11.3 Texthintergrund einfärben -- 11.3.1 Text farbig hinterlegen (Schattierung) -- 11.3.2 Besonderheiten beim Einfärben mit dem Textmarker -- 11.3.3 Wenn sich die Hinterlegung nicht entfernen lässt -- Kapitel 12: Absätze gestalten -- 12.1 Absatzumbrüche -- 12.1.1 Leere Absätze entfernen -- 12.1.2 Durchschuss zwischen Absätzen -- 12.1.3 Abstand vor oder nach dem Absatz? …”

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: “…2.3 Deep learning applications in brain cancer -- 2.3.1 Tumor grading -- 2.3.2 Survival analysis -- 2.3.3 Radiogenomics -- 2.3.3.1 1p/19q -- 2.3.3.2 Isocitrate dehydrogenase -- 2.3.3.3 6-methylguanine-DNA methyltransferase -- 2.3.4 Pseudoprogression -- 2.4 Deep learning applications in breast cancer -- 2.4.1 Increasing accuracy in breast cancer risk assessment -- 2.4.2 Reproducible breast density assessment for improved breast cancer risk prediction -- 2.4.3 Improving performance in breast cancer diagnosis -- 2.4.4 Enhancing efficacy in breast cancer clinical practice -- 2.5 Conclusion -- Acknowledgments -- References -- 3 Deep neural networks and advanced computer vision algorithms in the early diagnosis of skin diseases -- 3.1 Introduction and motivation for the early diagnosis of melanoma -- 3.2 Artificial intelligence and computer vision in melanoma diagnosis -- 3.3 Medical diagnostic procedures for screening of skin diseases -- 3.4 State-of-the-art survey on skin mole segmentation methods -- 3.4.1 Comparison of the state of the art -- 3.4.2 Summary -- 3.5 Improved local and global patterns detection algorithms by deep learning algorithms -- 3.6 Early classification of skin melanomas in dermoscopy -- 3.6.1 Diagnostic algorithms -- 3.6.2 Approaches to detect the diagnostic criteria -- 3.6.3 Approaches to directly classify skin conditions -- 3.6.3.1 Classifiers utilizing the convolutional neural networks as a feature extractor -- 3.6.3.2 Classifiers using end-to-end learning convolutional neural networks model training with transfer learning -- 3.6.3.3 Convolutional neural networks model training from scratch -- 3.6.3.4 Ensembles of convolutional neural networks models -- 3.7 Conclusions -- 3.8 How to speed up the classification process with field-programmable gate arrays? …”

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…”

“…The PEGylated immobilized lipase showed high regioselectivity, producing high yields of the C-3 monodeacetylated product at pH 5.0 and 4 °C. Hybrid catalysts composed of an enzyme and metallic complex are also treated in this Special Issue. …”

“…Els resultats van mostrar una millora significativa en el GE respecte del GC en l’equilibri unípede dret i esquerre amb els ulls oberts en la velocitat medi-lateral del CoP, i en l’equilibri arabesque en la velocitat medi-lateral i l’àrea total del CoP. …”
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“…P. Joblin è stato pure collaboratore della nostra rivista. …”

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“…The results were constituted in tables using descriptive statistics, in addition to the statistical tests, the ANOVA test was used, where P = 0.000 was obtained, which indicated that there are statistically significant differences between the means of the values ​​of the photopolymerization techniques. …”