Tabla de Contenidos: “…7.5 Spectrum Sensing 190 -- 7.5.1 Multidimensional Spectrum Awareness 190 -- 7.5.2 Complexity of Spectrum Sensing 193 -- 7.5.3 Implementation of Spectrum Sensing 195 -- 7.5.4 Cooperative Spectrum Sensing 199 -- 7.5.5 Spectrum Sensing in Current Wireless Standards 200 -- 7.6 Security in Cognitive Radios 201 -- 7.7 Concluding Remarks 201 -- 7.7.1 Development of Cognitive Radios 201 -- 7.7.2 Modeling and Simulation of Cognitive Radios 202 -- 7.7.3 Historical Perspective 202 -- Bibliography 202 -- Part III THE OPEN ARCHITECTURE MODEL -- 8 Open Architecture in Tactical Networks 207 -- 8.1 Commercial Cellular Wireless Open Architecture Model 208 -- 8.2 Tactical Wireless Open Architecture Model 210 -- 8.3 Open Architecture Tactical Protocol Stack Model 211 -- 8.3.1 Tactical Wireless Open Architecture Model Entities 213 -- 8.3.2 Open Architecture Tactical Wireless Model ICDs 216 -- 8.4 The Tactical Edge 219 -- 8.4.1 Tactical Edge Definition 219 -- 8.4.2 Tactical Edge Analysis 220 -- 8.5 Historical Perspective 222 -- Bibliography 224 -- 9 Open Architecture Details 225 -- 9.1 The Plain Text IP Layer and the Tactical Edge 225 -- 9.2 Measurement Based Resource Management 227 -- 9.2.1 Advantages and Challenges of MBRM 228 -- 9.2.2 Congestion Severity Level 229 -- 9.2.3 Markov Chain Representation of MBAC 231 -- 9.2.4 Regulating the Flow of Traffic between Two Nodes 233 -- 9.2.5 Regulating the Flow of Traffic for Multiple Nodes 233 -- 9.2.6 Packet Loss from the Physical Layer 234 -- 9.3 ICD I: Plain Text IP Layer to HAIPE 238 -- 9.4 ICD V: Plain Text IP Layer Peer-to-Peer 239 -- 9.4.1 TCP Proxy over HAIPE 239 -- 9.4.2 VoIP Proxy over HAIPE 241 -- 9.4.3 Video Proxy over HAIPE 247 -- 9.4.4 RSVP Proxy over HAIPE 248 -- 9.4.5 Multicast Proxy over HAIPE 252 -- 9.5 ICD X Cross Layer Signaling across the HAIPE 255 -- 9.6 Concluding Remarks 258 -- 9.7 Historical Perspective 258 -- Bibliography 259 -- 10 Bringing Commercial Cellular Capabilities to Tactical Networks 261 -- 10.1 Tactical User Expectations 262.…”

Tabla de Contenidos: “…17.3.3 Graphs from Type 4 Adjacency -- 17.3.4 Graphs from Type 6 Adjacency -- 17.3.5 Subgraphs of the Line Graph -- 17.4 Variations in the Adjacency Definition -- 17.4.1 Union Adjacency -- 17.4.2 Chord Crossing Adjacency -- 17.4.3 Incidence Adjacency -- 17.4.4 Counting based Adjacency -- 17.4.5 Distance based Adjacency -- 17.5 Transformation Graphs -- 17.6 Iteration, Convergence and Completion -- 17.7 Research Problems -- Chapter 18: Unit Graphs Having their Domination Number Half their Order -- 18.1 Unit Graph -- 18.1.1 Rings R for which γ(G(R))=|R|2 -- 18.1.2 Rings R for which γ(G(R))=|R|−12 -- 18.2 Domination Number of Line Graph of Unit Graph ... -- 18.2.1 Line Graph of Unit Graph -- Chapter 19: The Pendant Number of Some Graph Products -- 19.1 Pendant Number of Cartesian Product of Graphs -- 19.2 Pendant Number of Direct Product of Graphs -- 19.3 Conclusion -- Chapter 20: Wiener Index of Tensor Product of Cycle Graph and Some Other Graphs -- 20.1 Introduction -- 20.2 Wiener Index of Tensor Product of Cycle Graph and Bipartite Graph -- 20.3 Wiener Index of Tensor Product of Cycle Graph with Some Non-bipartite Graphs -- Chapter 21: Wiener Index of Some Zero-Divisor Graphs -- 21.1 Introduction -- 21.2 Wiener Index of the Zero-divisor Graph G(Zn) -- 21.3 Wiener Index of Zero-Divisor Graphs from Direct Product of Rings -- 21.4 Concluding Remark -- Chapter 22: Algebraic Signed Graphs: A Review -- 22.1 Algebraic Graph -- 22.1.1 Existing Algebraic Graphs -- 22.2 Signed Graph and its Parameters -- 22.2.1 Criteria for Balance -- 22.2.2 Criteria for Consistency -- 22.2.3 Criteria for Sign-Compatibility -- 22.3 Algebraic Signed Graph -- 22.3.1 Existing Algebraic Signed Graphs -- 22.4 Signed Total Graphs -- 22.4.1 Balanced Signed Total Graphs -- 22.5 Signed Unit Graphs -- Chapter 23: Nullity and Energy of Complete Tripartite Graphs…”

Tabla de Contenidos: “…2.6 Gruppe 6: Interoperabilität -- 3 Ansätze von IoT Geräte Management -- 4 Evaluation -- 4.1 Bewertungskriterien -- 4.2 Ergebnisse -- 5 Zusammenfassung und Ausblick -- Literatur -- Cross-Company Data Exchange with Asset Administration Shells and Distributed Ledger Technology -- 1 Introduction -- 2 Background -- 2.1 Asset Administration Shell: Fundamentals -- 2.2 Distributed Ledger Technology -- 3 Model Architecture -- 3.1 Current State -- 3.2 Proposed Idea -- 4 Implementation -- 5 Evaluation -- 6 Discussion -- 7 Conclusions -- References -- Plug and Work with OPC UA at the Field Level: Integration of Low-Level Devices -- 1 Introduction -- 2 Review Focus -- 2.1 QoS Requirements of Distributed Applications -- 2.2 System Requirements of Automation Ecosystems -- 3 Specification Review -- 3.1 Field Level Communications Initiative -- 3.2 IEC/IEEE 60802 Profile for Industrial Automation -- 3.3 Reflection -- 4 Impact on Low-Level System Engineering -- 4.1 Device-Oriented Engineering -- 4.2 Function-Oriented Engineering -- 4.3 Identified Effects -- 5 Summary -- References -- Concept for Rule-Based Information Aggregation in Modular Production Plants -- 1 Introduction -- 2 State of the Art -- 3 Concept for Rule-Based Information Aggregation -- 3.1 Structure of the Concept -- 3.2 Classification Method -- 3.3 Rule Engine -- 4 Concept Implementation for a Specific Use Case -- 4.1 Use Case: Fidget Spinner Production -- 4.2 Applying Classification -- 4.3 Applying the Rule Engine -- 5 Conclusion and Future Work -- References -- Towards Real-Time Human-Machine Interfaces for Robot Cells Using Open Standard Web Technologies -- 1 Motivation -- 2 Implementation -- 3 Results -- 4 Summary -- References -- Interoperabilität von Cyber Physical Systems -- 1 New Requirements for Interoperability -- 2 What Is Interoperability? …”

Tabla de Contenidos: “…-- 4.7 Governmental regulations -- 4.7.1 The European Union -- 4.7.2 Australia -- 4.7.3 The United States -- 4.8 Effect of data laws around the globe -- 4.9 Final thoughts -- Summary -- 5 Privacy -- 5.1 Privacy defined -- 5.2 Privacy throughout history -- 5.2.1 The internet has not eliminated privacy -- 5.2.2 Privacy crosses sociology, psychology, and basic human conditions -- 5.2.3 The need for privacy compared to the right of privacy -- 5.3 Psychology and privacy -- 5.4 We need privacy like we need sleep -- 5.5 Privacy and secrecy -- 5.6 Two sides of privacy -- 5.7 Privacy and human behavior -- 5.8 Privacy precepts -- 5.9 Poor privacy policies -- 5.10 Enlightened privacy policies and related data protection -- 5.11 Privacy laws and regulations -- 5.12 Privacy and data ownership -- 5.13 Privacy and technology -- 5.14 Privacy and trust -- 5.15 Final thoughts -- Summary -- 6 Moving from Open Data to Our Data -- 6.1 Data from many sources drives value -- 6.2 Data and analytics at dinner parties -- 6.3 Data can be used as a weapon -- 6.4 The horse is out of the barn, let's go riding . . . -- 6.5 New and modern approaches to data -- 6.5.1 Open Data defined -- 6.5.2 Open Data's beginnings -- 6.5.3 Open Data today -- 6.5.4 Governmental Open Data policies -- 6.5.5 Open Data: US federal and state governments -- 6.6 Data exchanges27 -- 6.6.1 Types of data exchanges -- 6.7 Data intermediaries, data pools, and data unions -- 6.8 Data commons -- 6.9 Final thoughts -- Summary -- 7 Derived data, synthetic data, and analytics -- 7.1 Data lineage -- 7.2 Forms of data -- 7.2.1 Natural or raw data -- 7.2.2 Aggregated data -- 7.2.3 Derived data -- 7.2.4 Synthetic data -- 7.2.5 Simulated data -- 7.2.6 Optimization data…”

Tabla de Contenidos: “…3.3 Making ndsDNA Gates from Array-Synthesized DNA -- 3.4 Characterizing Gate Kinetics -- 3.5 Reading Out DNA Computation with Next-Generation DNA Sequencing -- 3.6 Reading Pools of Array-Derived Gates -- 4 Discussion -- References -- Sequenceable Event Recorders -- 1 Introduction -- 2 Occurrence Recorder -- 2.1 Yes Gate -- 2.2 Occurrence Recorder Algorithm -- 3 Coincidence Recorder -- 3.1 Join Gate -- 3.2 Coincidence Recorder Algorithm -- 4 Preorder Recorder -- 4.1 Choice Gate Specification -- 4.2 Preorder Recorder Algorithm -- 4.3 Crosstalking Choice Gate -- 4.4 A ``Proper'' Choice Gate -- 5 Conclusions -- References -- Computational Design of Nucleic Acid Circuits: Past, Present, and Future -- 1 Past -- 1.1 Visual DSD Origins -- 1.2 Visual DSD Evolution -- 1.3 Visual DSD Analysis -- 2 Present -- 2.1 Logic Programming Framework -- 2.2 Related Work -- 3 Future -- 3.1 Computational Tool Integration -- 3.2 Experiment Integration -- 3.3 Computational Design for Practical Applications -- References -- Spatial Systems -- Parallel Computations with DNA-Encoded Chemical Reaction Networks -- 1 Harnessing Parallelization in Chemical Reaction Networks -- 1.1 D(R)NA-Based Deterministic Chemical Reaction Networks -- 1.2 CRNs Run on Inherently Parallel Processes -- 2 Creating Sub-Computations -- 2.1 No-Diffusion (Leak-Tight) Compartments -- 2.2 Compartment-Free Approaches -- 2.3 Intermediate Cases: Some Species Diffuse, Some Do Not -- 3 Discussion and Applications -- 3.1 Independent Compartments Containing an Identical Circuit but Receiving Different Inputs -- 3.2 Independent Compartments Containing Different Circuits, All Working on the Same Inputs -- 3.3 Cross-Talking Compartments Collaborating to Compute a Global Response -- References -- Social DNA Nanorobots -- 1 Introduction -- 1.1 Motivation -- 1.2 Summary of Our Results -- 1.3 Organization…”

Tabla de Contenidos: “…Chapter 10 Optimizing Prediction of Liver Disease Using Machine Learning Algorithms -- 10.1 Introduction -- 10.2 Related Works -- 10.3 Proposed Methodology -- 10.4 Result and Discussions -- 10.5 Conclusion -- References -- Chapter 11 Optimized Ensembled Model to Predict Diabetes Using Machine Learning -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 Proposed Methodology -- 11.3.1 Missing Value Imputation (MVI) -- 11.3.2 Feature Selection -- 11.3.3 K-Fold Cross-Validation -- 11.3.4 ML Classifiers -- 11.3.5 Evaluation Metrics -- 11.4 Results and Discussion -- 11.5 Concluding Remarks and Future Scope -- References -- Chapter 12 Wearable Gait Authentication: A Framework for Secure User Identification in Healthcare -- 12.1 Introduction -- 12.2 Literature Survey -- 12.3 Proposed System -- 12.3.1 Walking Detection -- 12.3.2 Experimental Setup -- 12.4 Results and Discussion -- 12.4.1 Dataset Used -- 12.4.2 Results -- 12.4.3 Comparison Used Techniques -- 12.5 Conclusion and Future Scope -- References -- Chapter 13 NLP-Based Speech Analysis Using K-Neighbor Classifier -- 13.1 Introduction -- 13.2 Supervised Machine Learning for NLP and Text Analytics -- 13.2.1 Categorization and Classification -- 13.3 Unsupervised Machine Learning for NLP and Text Analytics -- 13.4 Experiments and Results -- 13.5 Conclusion -- References -- Chapter 14 Fusion of Various Machine Learning Algorithms for Early Heart Attack Prediction -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Materials and Methods -- 14.3.1 Dataset -- 14.3.2 EDA -- 14.3.3 Machine Learning Model Implemented -- 14.4 Result Analysis -- 14.5 Conclusion -- References -- Chapter 15 Machine Learning-Based Approaches for Improving Healthcare Services and Quality of Life (QoL): Opportunities, Issues and Challenges -- 15.1 Introduction…”

Tabla de Contenidos: “…5.6 Prudential Treatment of Crypto-asset Exposures -- 5.7 SSBs, United States and European Union -- 5.7.1 BCBS: Prudential Treatment on Banks' Crypto-asset Exposures -- 5.7.2 CPMI - IOSCO: PFMI and Stablecoins -- 5.7.3 IOSCO -- 5.7.4 FATF - AML / CFT -- 5.7.5 Survey of Jurisdictions on the State of Crypto-asset Regulation -- 5.8 European Union - MiCA -- 5.9 United States -- 5.10 DeFi Specific Regulation -- 5.10.1 DEXs -- 5.10.2 Stablecoins -- 5.11 Chapter Summary -- Notes -- Part II DLT in Traditional Finance -- Chapter 6 Central Bank Digital Currencies -- 6.1 Introduction -- 6.2 Prologue: Libra -- 6.3 Role of the Central Bank -- 6.4 Structure of the Monetary System and a View Towards the Future -- 6.5 Central Bank Motivations and Considerations around CBDCs -- 6.6 Retail vs Wholesale CBDCs -- 6.7 Wholesale CBDCs -- 6.7.1 Domestic W-CBDCs -- 6.7.2 Bilateral W-CBDCs -- 6.7.3 Multilateral CBDCs (mCBDCs) -- 6.8 Case Study: Project mBridge -- 6.9 Retail CBDCs -- 6.10 Benefits and Risks of R-CBDCs -- 6.11 R-CBDC Design Choices -- 6.11.1 Nature of Claims and Role of the Central Bank -- 6.11.2 DLT or Conventional Centralized Ledger -- 6.11.3 Token- or Account-based Access -- 6.11.4 Cross-border -- 6.11.5 Holding and Transaction Limits -- 6.11.6 Interest Yielding -- 6.12 Types of R-CBDCs -- 6.12.1 Direct -- 6.12.2 Two-tier Models: Hybrid and Intermediated -- 6.12.3 Indirect / Synthetic -- 6.13 Examples of R-CBDCs -- 6.14 Case Study: Nigerian eNaira -- 6.15 Case Study: United States -- 6.16 Case Study: eCNY -- 6.17 Chapter Summary -- Notes -- Chapter 7 Asset Tokenization -- 7.1 What Is Asset Tokenization? …”

Tabla de Contenidos: “…The carinated jug (boccale Fiorano) in the center of the image comes instead from a ritual deposition found in the center of the hut, under the pavement. -- Sv. Križ - St. Cross (Istria, Croatia): some remarks on the food preparing and storaging during the Bronze Age in Northern Adriatic Region -- Tihomir Percan (†) -- Figure 1. …”

Tabla de Contenidos: “…Joussaume -- Chapter 2 -- Dry stone, old but innovative -- Eric Vincens, Nathanaël Savalle, Claire Cornu and Martin Muriot -- Pierre sèche, ancestrale et innovante -- Figure 1 : Figure 1: (A) mur de soutènement de pente -- (B) mur de soutènement de route -- (C) mur de clôture -- (D) traversée de cours d'eau -- (E) système pour ralentir le courant dans les talwegs -- (F) refuge pour activités pastorales (crédits photos: Cla -- Figure 1: (A) slope retaining wall -- (B) road retaining wall -- (C) wall fencing -- (D) water course crossing…”

Tabla de Contenidos: “…Futures Contracts -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Chapter 3: Hedging Strategies Using Futures -- 3.1 Basic Principles -- 3.2 Arguments for and Against Hedging -- 3.3 Basis Risk -- 3.4 Cross Hedging -- 3.5 Stock Index Futures -- 3.6 Stack and Roll -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Appendix: Review of Key Concepts in Statistics and the CAPM -- Chapter 4: Interest Rates -- 4.1 Types of Rates -- 4.2 Swap Rates -- 4.3 The Risk-Free Rate -- 4.4 Measuring Interest Rates -- 4.5 Zero Rates -- 4.6 Bond Pricing -- 4.7 Determining Zero Rates -- 4.8 Forward Rates -- 4.9 Forward Rate Agreements -- 4.10 Theories of the Term Structure of Interest Rates -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Appendix: Exponential and Logarithmic Functions -- Chapter 5: Determination of Forward and Futures Prices -- 5.1 Investment Assets vs. …”

Tabla de Contenidos: “…16.3.2 Explicit Calculation of the Spectrum -- 16.3.3 Topological Reasons for Damping -- 17 M-Functions: Definitions and Examples -- 17.1 The Graph M-Function -- 17.1.1 Motivation and Historical Hints -- 17.1.2 The Formal Definition -- 17.1.3 Examples -- 17.2 Explicit Formulas Using Eigenfunctions -- 17.3 Hierarchy of M-Functions for Standard Vertex Conditions -- 18 M-Functions: Properties and First Applications -- 18.1 M-Function as a Matrix-Valued Herglotz-Nevanlinna Function -- 18.2 Gluing Procedure and the Spectral Gap -- 18.2.1 Examples -- 18.3 Gluing Graphs and M-Functions -- 18.3.1 The M-Function for General Vertex Conditions at the Contact Set -- 18.3.2 Gluing Graphs with General Vertex Conditions -- Appendix 1: Scattering from Compact Graphs -- 19 Boundary Control: BC-Method -- 19.1 Inverse Problems: First Look -- 19.2 How to Use BC-Method for Graphs -- 19.3 The Response Operator and the M-Function -- 19.4 Inverse Problem for the One-DimensionalSchrödinger Equation -- 19.5 BC-Method for the Standard Laplacian on the Star Graph -- 19.6 BC-Method for the Star Graph with General Vertex Conditions -- 20 Inverse Problems for Trees -- 20.1 Obvious Ambiguities and Limitations -- 20.2 Subproblem I: Reconstruction of the Metric Tree -- 20.2.1 Global Reconstruction of the Metric Tree -- 20.2.2 Local Reconstruction of the Metric Tree -- 20.3 Subproblem II: Reconstruction of the Potential -- 20.4 Subproblem III: Reconstruction of the Vertex Conditions -- 20.4.1 Trimming a Bunch -- 20.4.2 Recovering the Vertex Conditions for an Equilateral Bunch -- 20.5 Cleaning and Pruning Using the M-functions -- 20.5.1 Cleaning the Edges -- 20.5.2 Pruning Branches and Bunches -- 20.6 Complete Solution of the Inverse Problem for Trees -- Appendix 1: Calculation of the M-function for the Cross Graph -- Appendix 2: Calderón Problem…”

Tabla de Contenidos: “…4.1.5 Biological Nanowires -- 4.2 Properties of Nanowires -- 4.2.1 Electrical Properties of Nanowire -- 4.2.2 Mechanical Properties -- 4.2.3 Optical Properties of Nanowire -- 4.2.4 Nonlinear Optical Properties -- 4.2.5 Photovoltaic Properties -- 4.3 Nanowire-FET -- 4.4 Proposed Work (GaAs Nanowire-FET) -- 4.5 Conclusion -- References -- Chapter 5 Graphene Nanoribbon for Future VLSI Applications: A Review -- 5.1 Introduction -- 5.1.1 Significance of Nano-Scale Reign -- 5.1.2 Importance of Repeaters -- 5.1.3 Interconnect Models -- 5.1.4 Lumped Model -- 5.1.5 Distributed Model -- 5.1.6 Aluminum and Copper as Interconnects -- 5.1.7 Graphene Nanoribbon as Interconnects -- 5.1.8 Classification of GNRs -- 5.1.9 Fundamental Physics -- 5.1.10 According to Structure and Conductivity -- 5.1.11 GNR Field Effect Transistor (GNRFET) -- 5.1.12 Model Development of GNRFET -- 5.1.13 Pros and Cons of GNRFET -- 5.2 Future Applications of Graphene and Graphene-Based FETs -- References -- Chapter 6 Ferroelectric Random Access Memory (FeRAM) -- 6.1 Introduction -- 6.1.1 Basic Characteristics of Ferroelectric Capacitors -- 6.1.2 FRAM Fabrication Process -- 6.2 Structure of Ferroelectric Memory Cells in Capacitor-Type FRAM Devices -- 6.2.1 A Capacitor-Type FRAM with a Memory Cell Resembling DRAM -- 6.3 Write/Read Operations in the FRAM Using a Capacitor- Type Memory Cell that Resembles a DRAM -- 6.4 Other Capacitor-Type FRAM -- 6.5 FRAM of FET Type -- 6.6 Memory Utilizing a Ferroelectric Tunnel Junction -- 6.6.1 Previous Ferroelectric Memory Designs -- 6.7 Cross Point Matrix Array -- 6.8 Ferroelectric Shadow RAMs -- 6.9 2T2C Ferroelectric RAM Architecture -- 6.9.1 Evaluation of FRAM Devices' Reliability -- 6.9.2 Comparative Analysis of FeRAM to Other Memory Technologies -- 6.10 FeRAM vs. …”

Tabla de Contenidos: “…#8 Hire People with Abilities You Can't Teach -- #9 Develop a Business Case for Hires -- #10 Always Stay on the Hunt for Talent -- #11 Stop Recruiting Junior Hires -- #12 Hire with the Aim of Leveling Up -- #13 Look for a Culture Add -- #14 Develop Department Transition Plans Fast -- #15 The First 30 to 90 Days Are Indicative of the Next Five Years -- #16 Do Weekly Onboard Check-Ins for an Employee's First Month -- #17 Develop an Onboarding Schedule That Lets New Employees Showcase Their Talents ASAP -- #18 Hold Regular One-on-Ones and Let Your Employee Lead the Conversation -- #19 Build a New-Hire Orientation Template -- General -- Team Operations -- Communication -- 30-60-90 -- #20 Teach Fast -- #21 Invest in Training and Technology for the Team -- #22 Buy Yourself Leverage -- #23 Start a Mentorship Program -- #24 Teach New Team Members to Study Top Employees -- #25 When Onboarding, Share the Top 20% Data -- #26 Deliver Positive Feedback for Improvement -- #27 Hold Effective One-on-One Meetings: Skip Level Template -- Company Strategy -- Career Development -- #28 Make Your One-on-One Meetings Cross-Functional -- Team Collaboration -- Planning and Priorities -- #29 Don't Take Employee Churn Too Personally -- #30 Hire Higher -- #31 Don't Forget the Number-One Reason People Join Startups -- Month 3 Developing a High-Performance Culture -- #1 The Team's Success Is Your Success -- #2 Build an Amazing Culture -- #3 Learn the Four Keys to a Balanced Work Culture -- #4 Bring Out the Creative Genius in Your Team -- #5 Help Spread Rock-Star Qualities -- #6 Teach Your Team to Go the Extra Mile -- #7 Do the Hard Things -- #8 The Sum Is Greater Than the Parts -- #9 Training Never Stops -- #10 Study Your Game Film -- #11 Figure Out the "One Thing" -- #12 Add Insane Value -- #13 Adopt a Bias Toward Action -- #14 Your Next Victory Requires a Single Step…”

Tabla de Contenidos: “…Information criteria in model selection -- 6.4. Cross-validation for mixture models -- 6.5. Penalized mixture models -- 6.6. …”

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