Tabla de Contenidos: “…Stereo Panning and Mid/Side Processing -- 9.1 Introduction: Stereo Audio Signals -- 9.2 Stereo Panning -- 9.2.1 Panning Functions -- Equal-Amplitude and Equal-Power Panning -- Functions for -4.5 dB Panning -- 9.2.2 Rhythmic Auto-Pan Effect -- 9.3 Mid/Side Processing -- 9.3.1 Mid/Side Background -- 9.3.2 Encoding -- 9.3.3 Decoding -- 9.3.4 Stereo Image Widening -- 9.4 Visualizing Stereo Width -- 9.4.1 Polar Coordinates -- 9.4.2 Goniometer -- Bibliography -- 10. …”

Tabla de Contenidos: “…Shewhart -- 3.3 Edwards Deming -- 3.4 Joseph Juran -- 3.5 Armand Feigenbaum -- 3.6 Prasanta Chandra Mahalanobis -- 3.7 Shigeo Shingo -- 3.8 Taichi Ohno -- 3.9 Kaoru Ishikawa -- 3.10 Genichi Taguchi -- 3.11 Phillip B. Crosby -- 3.12 Yoshio Kondo -- 3.13 Shigeru Mizuno -- 3.14 Yoji Akao -- 3.15 Noriaki Kano -- 3.16 Masaaki Imai -- 3.17 Claus Möller -- 3.18 Blanton Godfrey -- 3.19 Clarence Irwing Lewis -- 3.20 David Garvin -- 3.21 Dorian Shainin…”

Tabla de Contenidos: “…A in Japan's Financial Sector -- 5.3 Methodology -- 5.3.1 Obtaining Excess Returns -- 5.3.2 Shareholder Value Creation Analysis -- 5.3.3 Performance Ratio Analysis -- 5.4 Data Description -- 5.5 Results -- 5.5.1 Shareholder Value Creation -- Cumulative abnormal returns-acquirer vs. target -- Cumulative abnormal returns-mega-mergers -- Cumulative abnormal returns-regression analysis -- 5.5.2 Performance Ratios -- Performance ratios-pre-merger acquirer vs. all banks -- Performance ratios-regression analysis -- 5.6 Conclusions -- Appendix -- Acknowledgments -- References -- 6 A Regime-Switching Analysis of Asian Bank Stocks -- 6.1 Introduction -- 6.2 RavenPack News Database -- 6.3 Data and Sample -- 6.3.1 Return Series -- 6.3.2 News Variables -- 6.4 Markov Regime-Switching (MRS) Model -- 6.5 Empirical Results -- 6.5.1 Descriptive Statistics of the Dataset -- 6.5.2 MRS-t Model Without News Variables -- 6.5.3 Effects of News Sentiment Sign -- 6.5.4 Effects of News Sentiment Dummy -- 6.5.5 Effects of News Sentiment -- 6.6 Conclusion -- 6.7 Appendix A: Selected 20 Asian Banks List -- 6.8 Appendix B: RavenPack Algorithms -- 6.8.1 Market Response Methodology -- 6.8.2 Expert Consensus Tagging Methodology -- 6.8.3 Factors in the Event Sentiment Score -- References -- 7 Embedded Predictor Selection for Default Risk Calculation: A Southeast Asian Industry Study -- 7.1 Introduction -- 7.2 Data and Default Predictors -- 7.3 Embedded Predictor Selection -- 7.3.1 Lasso and Elastic-Net Penalties -- 7.3.2 Regularization on Logit Model -- 7.4 Empirical Result -- 7.5 Conclusion -- Acknowledgment -- References -- 8 Demand for International Reserve and Monetary Disequilibrium: Evidence from Emerging Asia -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Stylized Facts and Adequacy of Reserves -- 8.3.1 Stylized Facts -- 8.3.2 Adequacy of Reserves…”

Tabla de Contenidos: “…5.6 Case Study: Hedging a Forecast Sale with an FX Forward -- 5.6.1 Setting the Hedging Relationship Term -- 5.6.2 Hedging Relationship Documentation -- 5.6.3 Hedge Effectiveness Assessment -- 5.6.4 Hedge Effectiveness Assessment Performed at Hedge Inception -- 5.6.5 Fair Valuation of Hedged Item and Hypothetical Derivative at the Relevant Dates -- 5.6.6 Accounting Entries When the Forward Element is Included in the Hedging Relationship -- 5.6.7 Accounting Election When the Forward Element is Excluded from the Hedging Relationship -- 5.6.8 Accounting When the Forward Element is Excluded from the Hedging Relationship and Recognised in Profit or Loss -- 5.6.9 Accounting When the Forward Element is Excluded from the Hedging Relationship and Aligned Portion Temporarily Recognised in OCI -- 5.6.10 Final Remarks: Inclusion versus Exclusion of the Forward Element -- 5.7 Case Study: Hedging a Forecast Sale and Subsequent Receivable with a Tunnel -- 5.7.1 Hedging Relationship Documentation -- 5.7.2 Hedge Effectiveness Assessment -- 5.7.3 Hedge Effectiveness Assessment Performed at Hedge Inception -- 5.7.4 Fair Valuation of Hedged Item and Hypothetical Derivative at the Relevant Dates -- 5.7.5 Calculation of Effective and Ineffective Amounts -- 5.7.6 Accounting Entries -- 5.7.7 Accounting Entries - Discontinuation by Changing Risk Management Objective -- 5.7.8 Final Remarks -- 5.8 Case Study: Hedging A Forecast Sale and Subsequent Receivable with a Participating Forward -- 5.8.1 Participating Forward Hedge Accounting Issues -- 5.8.2 Alternative 1: Participating Forward Split into a Forward and an Option -- 5.8.3 Alternative 2(a): Participating Forward in its Entirety -- 5.8.4 Alternative 2(b): Participating Forward in its Entirety - Readjusting the Hedge Ratio -- 5.9 Case Study: Hedging a Highly Expected Foreign Sale with a Knock-In Forward (Introduction)…”

Tabla de Contenidos: “…Visualizing Sametime -- Overview -- Architecture -- Outline -- Visualizing Sametime client -- Implementation -- GUI Design -- Web services -- IM session data aggregation -- Outcome -- Trial program -- Results -- Concerns -- Future improvements -- Lessons learned -- Appendix B. Online customer support application example -- Overview…”

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: “…Mathematical foundations -- Vectors, matrices, and beyond: a linear algebra primer -- Vectors: one-dimensional data -- Matrices: two-dimensional data -- Rank 3 tensors -- Rank 4 tensors -- Calculus in five minutes: derivatives and finding maxima -- Appendix B. The backpropagation algorithm -- A bit of notation -- The backpropagation algorithm for feed-forward networks…”

Tabla de Contenidos: “…Show Me: Media 7.3-Setting Parental Controls for a User Account -- Show Me: Media 7.4-Creating a Bookmark Folder -- Show Me: Media 7.5-Setting the Auto-Click Preference in Safari -- Show Me: Media 7.6-Copying Text in a PDF File -- Show Me: Media 7.7-Saving a Web Receipt -- Chapter 8: Keeping Your Address Book and Schedule -- Show Me: Media 8.1-Editing the Address Card Template -- Show Me: Media 8.2-Creating a New Address Card -- Tell Me More: Media 8.3-Publishing a Calendar to the Web -- Show Me: Media 8.4-Setting an Alarm -- Show Me: Media 8.5-Creating a Birthday Calendar -- Show Me: Media 8.6-Creating a To Do Item -- Chapter 9: Emailing and Chatting Online -- Tell Me More: Media 9.1-Special Uses for the Bcc Field -- Show Me: Media 9.2-Creating Smart Mailboxes -- Show Me: Media 9.3-Creating To Do Items in Mail -- Show Me: Media 9.4-Creating a Status Description -- Show Me: Media 9.5-Sending a Text Message in iChat -- Show Me: Media 9.6-Presenting an iPhoto Slideshow -- Show Me: Media 9.7-Sharing Your Screen with Another Mac User -- Chapter 10: Using TextEdit -- Show Me: Media 10.1-Using the Find Command -- Show Me: Media 10.2-Setting Tabs -- Tell Me More: Media 10.3-Using Paragraph Spacing -- Show Me: Media 10.4-Other Formatting Features -- Media 10.4a-Creating Numbered Lists -- Media 10.4b-Creating a Task -- Media 10.4c-Creating Styles -- Media 10.4d-Inserting Special Characters -- Chapter 11: Managing and Editing Your Photos -- Show Me: Media 11.1-Selecting and Viewing Photos in a Slideshow -- Show Me: Media 11.2-Assigning Ratings to Photos -- Show Me: Media 11.3-Splitting and Merging Events -- Show Me: Media 11.4-Viewing Faces and Making Corrections -- Show Me: Media 11.5-Using Automatic and Manual Red-Eye Removal -- Tell Me More: Media 11.6-Enhancing Photo Attributes -- Show Me: Media 11.7-Retouching a Photo…”

Tabla de Contenidos: “…Service management and the ITIL -- The ITIL -- Service management -- Service delivery -- Service support -- Service support disciplines -- Configuration management -- Service desk -- Incident management -- Problem management -- Change management -- Release management -- Service delivery disciplines -- Capacity management -- Availability management -- Financial management for IT services -- IT service continuity management -- Service level management -- Bringing it all together -- Organization -- Processes -- Tools -- Constant improvement is a must -- Planning -- Delivery -- Measurement -- Calibration -- The power of integration -- Appendix B. Important concepts and terminology -- IBM Tivoli Service Level Advisor concepts -- IBM Tivoli Business Systems Manager concepts -- Appendix C. …”

Tabla de Contenidos: “…-- 2.3 Types of Customer Data used in Retail Analytics -- 2.4 Application of Consumer Data - Retail Analytics -- 2.5 Analytics in Retail Industry - How it Works -- 2.6 Metrics in Retail Industry -- 2.7 Analytics in Practice in Renowned Retail Organizations -- 2.8 Challenges and Pitfall - Retail Analytics -- 2.9 Way Ahead -- 2.10 Discussion Questions -- References -- 3 Multi-Agent Paradigm for B2C E-Commerce -- 3.1 Business Perspective -- 3.1.1 Negotiation -- 3.1.1.1 Types of Agent-to-Agent Negotiations -- 3.1.1.2 Negotiation Strategies -- 3.1.1.3 Negotiation Types -- 3.1.2 Customer Relationship Management (CRM) and Customer Orientation (CO) -- 3.1.3 Broker and Brokering -- 3.1.4 Business Model -- 3.2 Computational Perspective -- 3.2.1 Multi-Agent System -- 3.2.1.1 Agent: Definition and Characteristics -- 3.2.1.2 Multi-agent Systems: Salient Features -- 3.2.2 Cognitive and Social Parameters -- 3.2.3 MAS Communication -- 3.2.4 Foundation for Intelligent Physical Agents (FIPA) -- 3.3 Machine Learning: Functions and Methods -- 3.3.1 Supervised and Unsupervised Learning -- 3.3.2 Decision Tree (DT) -- 3.3.3 Neural Network -- 3.3.4 Sensitivity Analysis (SA) -- 3.3.5 Feature Selection -- 3.4 Conclusion…”

Tabla de Contenidos: “…10.3.5 Time-Based Charging -- 10.3.6 Pulse Charging -- 10.3.7 Trickle Charging -- 10.4 Effect of Charge Control on Battery Performance -- 10.5 Charging Circuits -- 10.5.1 Half-Bridge and Full-Bridge Circuits -- 10.5.2 On-Board Charger (Level 1 and Level 2 Chargers) -- 10.5.3 Off-Board Charger (Level 3) -- 10.5.4 Fast Charger -- 10.5.5 Ultra-Fast Charger -- 10.6 Infrastructure Development and Challenges -- 10.6.1 Home Charging Station -- 10.6.2 Workplace Charging Station -- 10.6.3 Community and Highways EV Charging Station -- 10.6.4 Electrical Infrastructure Upgrades -- 10.6.5 Infrastructure Challenges and Issues -- 10.6.6 Commercially Available Charges -- 10.7 Isolation and Safety Requirement for EC Chargers -- References -- 11 Balancing/Balancing Control -- 11.1 Balancing Control Management and Its Significance -- 11.1.1 Two Expressions of Battery Capacity and SoC Inconsistency -- 11.1.2 Significance of Balancing Control Management -- 11.2 Classification of Balancing Control Management -- 11.2.1 Centralized Balancing and Distributed Balancing -- 11.2.2 Discharge Balancing, Charge Balancing, and Bidirectional Balancing -- 11.2.3 Passive Balancing and Active Balancing -- 11.3 Review and Analysis of Active Balancing Technologies -- 11.3.1 Independent-Charge Active Balancing Control -- 11.3.2 Energy-Transfer Active Balancing Control -- 11.3.3 How to Evaluate the Advantages and Disadvantages of an Active Balancing Control Scheme (an Efficiency Problem of Active B -- 11.4 Balancing Strategy Study -- 11.4.1 Balancing Time -- 11.4.2 Variable for Balancing -- 11.5 Two Active Balancing Control Strategies -- 11.5.1 Topologies of Two Active Balancing Schemes -- 11.5.2 Hierarchical Balancing Control Strategy -- 11.5.3 Lead-Acid Battery Transfer Balancing Control Strategy -- 11.6 Evaluation and Comparison of Balancing Control Strategies…”

Tabla de Contenidos: “…5.6 Disadvantages of AI in Agriculture -- 5.7 Conclusion -- References -- Chapter 6 The Potential of Artificial Intelligence in the Healthcare System -- 6.1 Introduction -- 6.2 Machine Learning -- 6.3 Neural Networks -- 6.4 Expert Systems -- 6.5 Robots -- 6.6 Fuzzy Logic -- 6.7 Natural Language Processing -- 6.8 Sensor Network Technology in Artificial Intelligence -- 6.9 Sensory Devices in Healthcare -- 6.9.1 Wearable Devices -- 6.9.2 Implantable Devices -- 6.10 Neural Interface for Sensors -- 6.10.1 Intrusion Devices in Artificial Intelligence -- 6.11 Artificial Intelligence in Healthcare -- 6.11.1 Role of Artificial Intelligence in Medicine -- 6.11.2 Role of Artificial Intelligence in Surgery -- 6.11.3 Role of Artificial Intelligence in Rehabilitation -- 6.12 Why Artificial Intelligence in Healthcare -- 6.13 Advancements of Artificial Intelligence in Healthcare -- 6.14 Future Challenges -- 6.15 Discussion -- 6.16 Conclusion -- References -- Chapter 7 Improvement of Computer Vision-Based Elephant Intrusion Detection System (EIDS) with Deep Learning Models -- 7.1 Introduction -- 7.2 Elephant Intrusion Detection System (EIDS) -- 7.2.1 Existing Approaches -- 7.2.2 Challenges -- 7.3 Theoretical Framework -- 7.3.1 Deep Learning Models for EIDS -- 7.3.1.1 Fast RCNN -- 7.3.1.2 Faster RCNN -- 7.3.1.3 Single-Shot Multibox Detector (SSD) -- 7.3.1.4 You Only Look Once (YOLO) -- 7.3.2 Hardware Specifications -- 7.3.2.1 Raspberry-Pi 3 Model B -- 7.3.2.2 Night Vision OV5647 Camera Module -- 7.3.2.3 PIR Sensor -- 7.3.2.4 GSM Module -- 7.3.3 Proposed Work -- 7.4 Experimental Results -- 7.4.1 Dataset Preparation -- 7.4.2 Performance Analysis of DL Algorithms -- 7.5 Conclusion -- References -- Chapter 8 A Study of WSN Privacy Through AI Technique -- 8.1 Introduction -- 8.2 Review of Literature -- 8.3 ML in WSNs -- 8.3.1 Supervised Learning…”

Tabla de Contenidos: “…2.2 Methodology -- 2.2.1 Collection of Plant Material -- 2.2.2 Qualitative Analysis of Phytochemicals -- 2.2.3 Study of In Vitro Antiurolithiatic Activity Using Titrimetry Method -- 2.2.3.1 Preparation of Calcium Oxalate -- 2.2.3.2 Preparation of Semipermeable Membrane From Eggs -- 2.2.3.3 In Vitro Antiurolithiatic Test Using Titrimetry Method -- 2.3 Result and Discussion -- 2.3.1 In Vitro Antiurolithiatic Activity Test -- 2.3.2 Analysis of Dissolved Calcium Oxalate -- 2.4 Conclusion -- References -- Chapter 3 Parkinson's Disease Detection Using Voice and Speech- Systematic Literature Review -- 3.1 Introduction -- 3.2 Research Questions -- 3.3 Method -- 3.3.1 Search Strategy -- 3.3.2 Inclusion Criteria -- 3.3.3 Subprocesses Involved in PD Detection Process -- 3.3.4 Data Sets -- 3.3.4.1 Parkinson's Data Set-UCI Machine Learning Dataset -- 3.3.4.2 PC-GITA Dataset -- 3.3.4.3 mPower Dataset -- 3.3.4.4 Mobile Device Voice Recordings (MDVR-KCL) Dataset -- 3.3.4.5 Italian Parkinson's Voice and Speech (IPVS) Dataset -- 3.3.4.6 Parkinson Speech Dataset With Multiple Types of Sound Recordings Dataset -- 3.3.4.7 Parkinson's Telemonitoring Dataset -- 3.4 Algorithms -- 3.5 Features -- 3.5.1 Acoustic Features -- 3.5.1.1 Jitter (Local, Absolute) -- 3.5.1.2 Jitter (Local) -- 3.5.1.3 Jitter (rap) -- 3.5.1.4 Jitter (ppq5) -- 3.5.1.5 Shimmer (Local) -- 3.5.1.6 Shimmer (local, dB) -- 3.5.1.7 Shimmer (apq3) -- 3.5.1.8 Shimmer (apq5) -- 3.5.2 Spectogram-Based Methods -- 3.5.2.1 MFCC -- 3.6 Conclusion -- References -- Chapter 4 Tumor Detection and Classification -- 4.1 Introduction -- 4.2 Methods Used for Detection of Tumors -- 4.3 Methods Used for Classification of Tumours -- 4.3.1 Segmentation -- 4.3.2 Region Growing Method -- 4.3.3 Seeded Region Growing Method -- 4.3.4 Unseeded Region Growing Method -- 4.3.5 .…”

“…A nivel de la variación sociolingüística, se ha constatado el rendimiento sociolingüístico (a) mínimo de la variable social de edad; (b) medio de la variable social de sexo, y (c) máximo de la variable social de barrio de residencia del hablante. …”
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“…What you will learn Explore essential steps involved in implementing HubSpot correctly Build ideal marketing and sales campaigns for your organization Manage your sales process and empower your sales teams using HubSpot Get buy-in from your management and colleagues by setting up useful reports Use Flywheel strategies to increase sales for your business Apply the inbound methodology to scale your marketing Re-engage your existing database using the HubSpot retargeting ads tool Understand how to use HubSpot for any B2B industry in which you operate Who this book is for This HubSpot marketing book is for sales and marketing professionals, business owners, and entrepreneurs who want to use HubSpot for scaling their sales and marketing activities. …”

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