Tabla de Contenidos: “…Brenchley, Eugenio Nelson Cavallari, Giuseppe Corano Scheri, Mariangela Fratino, Claudia Pinacchio, Ivan Schietroma, Saeid Najafi Fard, Carolina Scagnolari, Ivano Mezzaroma, Vincenzo Vullo and Gabriella d'Ettorre Impact of High-Dose Multi-Strain Probiotic Supplementation on Neurocognitive Performance and Central Nervous System Immune Activation of HIV-1 Infected Individuals Reprinted from: Nutrients 2017, 9, 1269, doi: 10.3390/nu9111269 . 75 -- Wirginia Krzy ́sciak, Dorota Ko ́scielniak, Monika Papiez, Palina Vyhouskaya, ̇ Katarzyna Zag ́orska-Swie ́ zy, Iwona Kołodziej, Beata Bystrowska and Anna Jurczak ̇ Effect of a Lactobacillus Salivarius Probiotic on a Double-Species Streptococcus Mutans and Candida Albicans Caries Biofilm Reprinted from: Nutrients 2017, 9, 1242, doi: 10.3390/nu9111242 . 86 -- Tung Pham, Keat (Thomas) Teoh, Brett J. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Chapter 1 Applications of VLSI Design in Artificial Intelligence and Machine Learning -- 1.1 Introduction -- 1.2 Artificial Intelligence -- 1.3 Artificial Intelligence &amp -- VLSI (AI and VLSI) -- 1.4 Applications of AI -- 1.5 Machine Learning -- 1.6 Applications of ML -- 1.6.1 Role of ML in Manufacturing Process -- 1.6.2 Reducing Maintenance Costs and Improving Reliability -- 1.6.3 Enhancing New Design -- 1.7 Role of ML in Mask Synthesis -- 1.8 Applications in Physical Design -- 1.8.1 Lithography Hotspot Detection -- 1.8.2 Pattern Matching Approach -- 1.9 Improving Analysis Correlation -- 1.10 Role of ML in Data Path Placement -- 1.11 Role of ML on Route Ability Prediction -- 1.12 Conclusion -- References -- Chapter 2 Design of an Accelerated Squarer Architecture Based on Yavadunam Sutra for Machine Learning -- 2.1 Introduction -- 2.2 Methods and Methodology -- 2.2.1 Design of an n-Bit Squaring Circuit Based on (n-1)-Bit Squaring Circuit Architecture -- 2.2.1.1 Architecture for Case 1: A &lt -- B -- 2.2.1.2 Architecture for Case 2: A &gt -- B -- 2.2.1.3 Architecture for Case 3: A = B -- 2.3 Results and Discussion -- 2.4 Conclusion -- References -- Chapter 3 Machine Learning-Based VLSI Test and Verification -- 3.1 Introduction -- 3.2 The VLSI Testing Process -- 3.2.1 Off-Chip Testing -- 3.2.2 On-Chip Testing -- 3.2.3 Combinational Circuit Testing -- 3.2.3.1 Fault Model -- 3.2.3.2 Path Sensitizing -- 3.2.4 Sequential Circuit Testing -- 3.2.4.1 Scan Path Test -- 3.2.4.2 Built-In-Self Test (BIST) -- 3.2.4.3 Boundary Scan Test (BST) -- 3.2.5 The Advantages of VLSI Testing -- 3.3 Machine Learning's Advantages in VLSI Design -- 3.3.1 Ease in the Verification Process -- 3.3.2 Time-Saving -- 3.3.3 3Ps (Power, Performance, Price)…”

Tabla de Contenidos: “…References -- Partial Quantifier Elimination and Property Generation -- 1 Introduction -- 2 Basic Definitions -- 3 Property Generation by PQE -- 3.1 High-Level View of Property Generation by PQE -- 3.2 Property Generation as Generalization of Testing -- 3.3 Computing Properties Efficiently -- 3.4 Using Design Coverage for Generation of Unwanted Properties -- 3.5 High-Quality Tests Specified by a Property Generated by PQE -- 4 Invariant Generation by PQE -- 4.1 Bugs Making States Unreachable -- 4.2 Proving Operative State Unreachability by Invariant Generation -- 5 Introducing EG-PQE -- 5.1 An Example -- 5.2 Description of EG-PQE -- 5.3 Discussion -- 6 Introducing EG-PQE+ -- 6.1 Main Idea -- 6.2 Discussion -- 7 Experiment with FIFO Buffers -- 7.1 Buffer Description -- 7.2 Bug Detection by Invariant Generation -- 7.3 Detection of the Bug by Conventional Methods -- 8 Experiments with HWMCC Benchmarks -- 8.1 Experiment 1 -- 8.2 Experiment 2 -- 8.3 Experiment 3 -- 9 Properties Mimicking Symbolic Simulation -- 10 Some Background -- 11 Conclusions and Directions for Future Research -- References -- Rounding Meets Approximate Model Counting -- 1 Introduction -- 2 Notation and Preliminaries -- 2.1 Universal Hash Functions -- 2.2 Helpful Combinatorial Inequality -- 3 Related Work -- 4 Weakness of ApproxMC -- 5 Rounding Model Counting -- 5.1 Algorithm -- 5.2 Repetition Reduction -- 5.3 Proof of Lemma 4 for Case 2-1&lt -- 1 -- 6 Experimental Evaluation -- 6.1 RQ1. Overall Performance -- 6.2 RQ2. Approximation Quality -- 7 Conclusion -- A Proof of Proposition 1 -- B Weakness of Proposition 3 -- C Proof of pmax 0.36 for ApproxMC -- D Proof of Lemma 4 -- D.1 Proof of Pr[L] 0.262 for &lt -- 2-1 -- D.2 Proof of Pr[L] 0.085 for 1&lt -- 3 -- D.3 Proof of Pr[L] 0.055 for 3&lt -- 42-1 -- D.4 Proof of Pr[L] 0.023 for 42-1 -- D.5 Proof of Pr[U] 0.169 for &lt -- 3.…”

Tabla de Contenidos: “…Reliability Mechanism -- 14.3.2. Performance Metrics -- 14.4. Comparison of Protocols -- 14.5. …”

Tabla de Contenidos: “…Using Dictation and Spoken Content -- Using Dictation -- Make the Spoken Content Feature Read Text Aloud -- Hear Alerts from Spoken Content -- Configure and Invoke Siri -- Configure and Invoke Siri -- Configure Siri -- Invoke Siri -- Perform Tasks with Siri -- Remove Apps -- Remove Apps -- Remove an App Using Launchpad -- Remove an App Using the Applications Folder -- Identify Problem Apps -- Identify Problem Apps -- Force a Crashed App to Quit -- Force a Crashed App to Quit -- Force Quit an App from the Dock -- Force Quit an App from the Force Quit Applications Dialog -- Revert to an Earlier Version of a Document -- Revert to an Earlier Version of a Document -- Chapter 5 Managing Your Files and Folders -- Explore Your MacBook's File System -- Explore Your MacBook's File System -- Using the Finder's Views -- Using the Finder's Views -- Using Icon View -- Using List View -- Using Column View -- Using Gallery View -- Work with Finder Tabs -- Work with Finder Tabs -- View a File with Quick Look -- View a File with Quick Look -- Organize Your Desktop Files with Stacks -- Organize Your Desktop Files with Stacks -- Turn On Stacks and Choose the Grouping -- Browse a Stack and Open a File -- Search for a File or Folder -- Search for a File or Folder -- Search Quickly from the Desktop -- Search from a Finder Window -- Create a New Folder -- Create a New Folder -- Rename a File or Folder -- Rename a File or Folder -- Copy a File -- Copy a File -- Copy a File by Clicking and Dragging -- Copy a File Using Copy and Paste -- Move a File -- Move a File -- Move a File Between Folders on the Same Drive -- Move a File from One Drive to Another -- View the Information About a File or Folder -- View the Information About a File or Folder -- Organize Your Files with Tags -- Organize Your Files with Tags -- Customize Your Tags -- Apply Tags to Files and Folders…”

Tabla de Contenidos: “…7.3 How is Tokenization Performed? -- 7.4 Considerations for Tokenization -- 7.5 DLT in Capital Markets -- 7.5.1 Primary Markets -- 7.5.2 Secondary Markets -- 7.5.3 Clearing and Settlement -- 7.5.4 Custody -- 7.6 Asset Servicing -- 7.6.1 Corporate Actions -- 7.6.2 Tax Withholding -- 7.6.3 Regulatory Reporting -- 7.7 Chapter Summary -- Notes -- Chapter 8 Deposit Tokens -- 8.1 What Are Deposit Tokens? …”

Tabla de Contenidos: “…The new database on PostgreSQL/PostGIS performed on QGIS. -- Figure 5: Rome, NE Palatine slopes. …”

Tabla de Contenidos: “…-- 9.2 Determination of Groundwater Potential (GWP) Parameters -- 9.2.1 Groundwater Potential (GWP) Parameters -- 9.2.2 Analysis of the Key GWP Parameters -- 9.3 GWP Determination: Methods and Techniques -- 9.4 GWP Output: Applications -- 9.5 GWP Research Gaps: Future Research Areas -- 9.6 Conclusion -- References -- Chapter 10 Fruit Leaf Classification Using Transfer Learning for Automation and Industrial Applications -- 10.1 Introduction -- 10.1.1 Overview of Fruit Leaf Classification and Its Relevance in Automation and Industrial Applications -- 10.1.2 Challenges of Building a Classification Model from Scratch -- 10.1.3 Introduction to Transfer Learning as a Solution -- 10.1.4 Overview of Popular Pre-Trained Models -- 10.1.4.1 Visual Geometry Group -- 10.1.4.2 Residual Network -- 10.1.4.3 Inception -- 10.2 Data Collection and Preprocessing -- 10.2.1 Importance of Data Collection and Preprocessing -- 10.2.2 Data Augmentation in Fruit Leaf Classification -- 10.2.3 Normalization and Resizing in Fruit Leaf Classification -- 10.3 Loading a Pre-Trained Model for Fruit Leaf Classification Using Transfer Learning -- 10.3.1 Code Examples for Implementing Transfer Learning Using TensorFlow -- 10.4 Training and Evaluation -- 10.4.1 Explanation of Training and Evaluation Process -- 10.4.2 Metrics for Measuring Model Performance -- 10.5 Applications in Automation and Industry -- 10.5.1 Benefits of Using Transfer Learning in Automation and Industrial Settings…”

Tabla de Contenidos: “…-- 1.2.2.2 Theory of 'De Facto Authority' -- 1.2.3 Application of Customary IHRL -- 1.3 Special Commitments by Non-state Armed Groups -- 1.3.1 Special Agreements -- 1.3.2 Codes of Conduct -- 1.3.3 Unilateral Declarations -- 1.3.4 Deeds of Commitment and Geneva Call -- 2 Rights and Duties -- 2.1 Obligation to Provide Humanitarian Relief -- 2.2 Requirement of Consent -- 2.3 Obligation Not to Withhold Consent on Arbitrary Grounds -- 2.4 Obligation to Allow and Facilitate Relief Actions -- 2.5 Right to Prescribe Technical Arrangements and Restrict -- 2.6 Obligation to Respect and Protect Humanitarian Actors, Relief Consignments and Civilians -- Chapter 8 Rights and Duties of Humanitarian Actors -- 1 Adherence to Humanitarian Principles -- 1.1 Humanity -- 1.2 Impartiality -- 1.3 Independence -- 1.4 Neutrality -- 2 Rights and Duties -- 2.1 Right and Duty to Perform Relief Actions -- 2.2 Right to Offer and Duty to Respect the Requirement of Consent -- 2.3 Duty to Respect the Prescribed Arrangements and Restrictions -- 2.4 Right to Respect and Protection -- 2.4.1 Protection of Humanitarian Personnel -- 2.4.2 Protection of Humanitarian Relief Consignments -- Chapter 9 Rights and Duties of Non-belligerent States -- 1 Cooperation with Humanitarian Actors -- 2 Rights and Duties -- 2.1 Requirement of Consent and Right to Withhold Consent -- 2.2 Obligation Not to Withhold Consent on Arbitrary Grounds -- 2.3 Obligation to Allow and Facilitate -- 2.4 Right to Prescribe Technical Arrangements -- Chapter 10 Rights and Duties of Civilians -- 1 Right to Respect and Protection -- 2 A Right to Receive Humanitarian Relief?…”

Tabla de Contenidos: “…Using the MATLAB® Debugger and Profiler -- 8.1 Introduction -- 8.2 Types of Errors -- 8.3 Using the Debugger -- 8.4 Developing Bug-free Programs -- 8.5 Common Bugs -- 8.5.1 Bug Prevention -- 8.5.2 Bug Detection -- 8.5.3 Common Run-time Errors -- 8.6 Using MATLAB Profiler -- 8.6.1 Program Profiling -- 8.6.2 Using the Profiler and M-Lint for Enhancing Performance -- 8.6.3 When to Use the Profiler -- Programming Tips and Pitfalls -- Summary -- Exercises -- 9. …”

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

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“…Learn how to visualize year-wise mean values using a grouped bar plot and how to perform exploratory data analysis using subplots of different types…”