Tabla de Contenidos: “…References -- Chapter 3 Trends in Low Birthweight -- OVERALL TRENDS IN LOW BIRTHWEIGHT RATES -- THE COMPOSITION OF LOW-WEIGHT BIRTHS -- SOCIODEMOGRAPHIC CHARACTERISTICS -- PREGNANCY HISTORY -- PRENATAL CARE -- ANALYSIS OF 1981 SINGLE LIVE BIRTHS IN THE UNITED STATES -- CONCLUSIONS -- References and Notes -- PART II REDUCING THE INCIDENCE OF LOW BIRTHWEIGHT -- Chapter 4 An Overview of Promising Interventions -- PROMISING STRATEGIES -- NATIONAL DIRECTION FOR AN NATIONAL PROBLEM -- References and Notes -- Chapter 5 Planning for Pregnancy -- PREPREGNANCY RISK IDENTIFICATION AND REDUCTION -- ENLARGING THE CONTENT OF HEALTH EDUCATION -- THE ROLE OF FAMILY PLANNING IN REDUCING LOW BIRTHWEIGHT -- Unmet Need for Family Planning -- SUMMARY -- References and Notes -- Chapter 6 The Effectiveness of Prenatal Care -- ISSUES IN STUDYING THE EFFECTS OF PRENATAL CARE -- Research Design -- Defining Prenatal Care -- Validity of Data -- Control Variables -- Selection Bias -- REVIEW OF STUDIES OF PRENATAL CARE EFFECTS -- Results of Studies Using Large Data Bases -- Results of Program Evaluations -- CONCLUSIONS -- References and Notes -- Chapter 7 Ensuring Access to Prenatal Care -- WHO RECEIVES INADEQUATE PRENATAL CARE? …”

Tabla de Contenidos: “…Chapter 5 The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction (ensembles) 133 To crowdsource predictive analytics--outsource it to the public at large--a company launches its strategy, data, and research discoveries into the public spotlight. …”

Tabla de Contenidos: “…Java features and options; 1.4.1.4. Large objects; 1.4.1.5. Object-oriented programming; 1.4.1.6. …”

Tabla de Contenidos: “…Jansson, MODELLING HUMAN VOICE PRODUCTION WITH LARGE-SCALE PHYSICS-BASED SIMULATIONS -- FP - Mechanical-Markerless -- M. …”

Tabla de Contenidos: “…-- The multiple roles of prostaglandin E2 in the regulation of the ductus arteriosus -- Developmental Differences in the Maturation of Sarcoplasmic Reticulum and Contractile Proteins in Large Blood Vessels Influences Their Contractility -- Fetal and Neonatal Ductus Arteriosus is Regulated with ATP-sensitive Potassium Channel -- Part VIII. …”

Tabla de Contenidos: “…-- JOBS‐TO‐BE‐DONE MARKET DEFINITION CANVAS -- CHAPTER 5: From Explorer's Insight to Opportunity Story -- STARTING POINT -- EXPLORER'S INSIGHT -- OPPORTUNITY SCREENER -- OPPORTUNITY STORY -- NOTES -- SECTION II: INNOVATION DISCIPLINES -- CHAPTER 6: Ideation from Within: How to Generate Breakthrough Ideas from Within Large Corporations -- IDEATION -- IDEAS -- IMAGINE -- DISSECT -- EXPAND -- ANALYZE -- OVERCOMING BARRIERS -- NOTES -- CHAPTER 7: Ideation from Outside: A Step‐by‐Step Guide to Challenge‐Driven Innovation -- OPPORTUNITY FOR EXPLORERS -- NETWORKED PROBLEM SOLVING -- OPEN IDEATION'S UNIQUE POTENTIAL -- CHALLENGE‐DRIVEN INNOVATION -- FIVE TRAITS OF A "GOOD" CHALLENGE -- BASICS OF THE CDI PROCESS -- IDEAS MATTER -- NOTES -- CHAPTER 8: Business Model Maturity: Using Customer Evidence to Validate New Ventures -- CUSTOMER FIRST -- MATURITY GAP -- CLOSING THE MATURITY GAP WITH EVIDENCE -- INDICATORS OF BUSINESS MODEL MATURITY -- ASSESSING THE MATURITY GAP…”

Tabla de Contenidos: “…On The Soft Power of Values: The 'Scotland Is Now' Campaign<BR><EM>Alastair Mackie and Katerina Strani</EM></P><P>20. Large-Scale Events and Soft Power: Reconfiguration and Continuity in Light Of The COVID-19 Pandemic<BR><EM>Lukasz Swiatek and Luigi Di Martino</EM></P><P><BR><STRONG>PART III Cases from across the Globe</STRONG></P><P>21. …”

Tabla de Contenidos: “…Technical requirements -- Checking the deployed tools -- Building a batch pipeline -- Building the Airflow DAG -- Creating SparkApplication jobs -- Creating a Glue crawler -- Building a real-time pipeline -- Deploying Kafka Connect and Elasticsearch -- Real-time processing with Spark -- Deploying the Elasticsearch sink connector -- Summary -- Chapter 11: Generative AI on Kubernetes -- Technical requirements -- What generative AI is and what it is not -- The power of large neural networks -- Challenges and limitations -- Using Amazon Bedrock to work with foundational models -- Building a generative AI application on Kubernetes -- Deploying the Streamlit app -- Building RAG with Knowledge Bases for Amazon Bedrock -- Adjusting the code for RAG retrieval -- Building action models with agents -- Creating a DynamoDB table -- Configuring the agent -- Deploying the application on Kubernetes -- Summary -- Chapter 12: Where to Go from Here -- Important topics for big data in Kubernetes -- Kubernetes monitoring and application monitoring -- Building a service mesh -- Security considerations -- Automated scalability -- GitOps and CI/CD for Kubernetes -- Kubernetes cost control -- What about team skills? …”

Tabla de Contenidos: “…-- Loops -- Program 2: Button Inputs -- Multiple Buttons -- Program 3: Touch Inputs -- Variables -- Program 4: The Temperature Sensor -- Formatting the Output -- Program 5: The Compass Sensor -- Program 6: The Accelerometer Sensor -- Delays -- Reading Raw Accelerometer Data -- Program 7: The Fruit Catcher Game -- The Setup -- The Main Program Loop -- Conditional Loops -- Conditional Statements -- Drawing the Sprites -- Finishing the Program -- Further Steps -- Part 3 -- Chapter 8 The Wireless BBC micro:bit -- The BBC micro:bit Radio -- Program 1: One-to-One Communication -- Program 2: One-to-Many Communication -- Program 3: Radio Groups -- Testing the Group Feature -- Using the BBC micro:bit with a Smartphone or Tablet -- Chapter 9 The BBC micro:bit and the Raspberry Pi -- About the Raspberry Pi -- Connecting the Raspberry Pi to the BBC micro:bit -- Reading from the BBC micro:bit -- Using the BBC micro:bit Display -- Practical Example: A CPU Monitor -- Chapter 10 Building Circuits -- Electronic Equipment -- The Input-Output Pins -- The Large Pins -- The Small Pins -- Serial Peripheral Interface (SPI) -- Inter-Integrated Circuit (I2C) -- Universal Asynchronous Receiver/Transmitter (UART) -- Your First Circuits -- Reading from a Button Input -- Reading Resistor Colour Codes -- Writing to an LED Output -- Fading an LED via PWM -- Reading an Analogue Input -- Chapter 11 Extending the BBC micro:bit -- Extending via Breakout Boards -- Kitronik Edge Connector Breakout Board…”

Tabla de Contenidos: “…Health Promotion and Disease Prevention in Old Age -- Studies of Geriatric Syndromes -- Failure to Thrive (Inanition) -- Impaired Postural Stability, Strength, and Mobility -- Mismanagement of Medications -- Urinary Incontinence -- Delirium -- Cardiovascular Disease -- Dementia, Pseudodementia, and Psychiatric Disorders -- Musculoskeletal Disorders -- Infectious Disease and Immunosenescence -- Neoplasia -- Disorders of Metabolism and Homeostasis -- ADDITIONAL RESEARCH OPPORTUNITIES -- RESOURCE RECOMMENDATIONS -- CROSSCUTTING ISSUES -- REFERENCES -- 4 Behavioral and Social Sciences -- JUSTIFICATION AND MAJOR THEMES -- The Dynamic Interaction of Individuals and Sociocultural Contexts -- Differentiation -- Modifiability -- RESEARCH PRIORITIES -- ADDITIONAL RESEARCH OPPORTUNITIES -- METHODOLOGICAL NEEDS -- Tests and Instruments -- Coordination of Large-Scale Research -- Field Intervention Studies -- RESOURCE RECOMMENDATIONS -- CROSS-DISCIPLINARY AND CROSSCUTTING ISSUES -- Gender -- Race and Ethnicity, Socioeconomic Status, and Other Cultural Factors -- Population Dynamics -- Brain, Environment, Society, and Behavior -- REFERENCES -- 5 Health Services Delivery Research -- LONG-TERM CARE AND CONTINUITY OF CARE FOR OLDER PERSONS -- Characteristics of Older Persons Requiring Long-Term Care -- Informal Providers of Long-Term Care -- Formal Long-Term Care -- Supply of Personnel for Long-Term Care -- Locus of Long-Term Care -- Quality Assurance -- Technologies -- FINANCING OF HEALTH CARE FOR OLDER PERSONS -- DRUG USE -- Inappropriate Prescribing -- Noncompliance -- Drug Costs and Older Persons -- MENTAL HEALTH SERVICES -- DISABILITY/DISEASE PREVENTION AND HEALTH PROMOTION SERVICES -- RESEARCH PRIORITIES -- ADDITIONAL RESEARCH OPPORTUNITIES -- RESOURCES REQUIRED -- CROSS-DISCIPLINARY AND CROSSCUTTING ISSUES -- REFERENCES -- 6 Research in Biomedical Ethics…”

Tabla de Contenidos: “…-- RETESTING -- CONCLUSIONS AND RECOMMENDATIONS -- Laboratory Errors -- Proficiency Tests -- Duplicate Tests -- 4 Population Genetics -- ALLELE AND GENOTYPE PROPORTIONS -- RANDOM MATING AND HARDY-WEINBERG PROPORTIONS -- HW Proportions in a Large Sample -- Exclusion Power of a Locus -- DEPARTURES FROM HW PROPORTIONS -- Inbreeding and Kinship -- Population Subgroups -- SUBPOPULATION THEORY -- TAKING POPULATION STRUCTURE INTO ACCOUNT -- MULTIPLE LOCI AND LINKAGE EQUILIBRIUM -- How Much Departure from LE is Expected? …”

Tabla de Contenidos: “…Scale-Up and Scale-Down -- Summary -- 16.1 Introduction -- 16.2 Description of the Large Scale -- 16.2.1 Mixing -- 16.2.2 Mass Transfer -- 16.2.3 CO2 Removal -- 16.2.4 Cooling -- 16.2.5 Gas-Liquid Separation -- 16.3 Scale-Down -- 16.3.1 One-Compartment Systems -- 16.3.2 Two-Compartment Systems -- 16.4 Investigations at Lab Scale -- 16.4.1 Gluconic Acid -- 16.4.2 Lipase -- 16.4.3 Baker's Yeast -- 16.4.4 Penicillin -- 16.5 Scale-Up -- 16.6 Outlook -- References -- 17. …”

Tabla de Contenidos: “…Intro -- Acknowledgments -- Contents -- Editors and Contributors -- 1 Animals in Our Midst: An Introduction -- 1.1 Introduction -- 1.2 Animal Ethics in the Anthropocene -- 1.3 The Netherlands as Mirror of Biodiversity Problems -- 1.3.1 The Recovery of Wildlife -- 1.3.2 Exotic Species and Climate Refugees -- 1.3.3 The Sixth Mass Extinction -- 1.3.4 Rewilding and De-extinction -- 1.3.5 Intensive Livestock Farming -- 1.3.6 The Ecological Impact of Large-Scale Hunting -- 1.3.7 Companion Animals -- 1.3.8 The 'Liminalisation' of Wildlife -- 1.3.9 The Struggle for Nature Between People -- 1.4 Overview of the Volume -- 1.4.1 Part 1: Animal Agents -- 1.4.2 Part 2: Domesticated Animals -- 1.4.3 Part 3: Urban Animals -- 1.4.4 Part 4: Wild Animals -- 1.4.5 Part 5: Animal Artefacts -- References -- 2 Animal Conservation in the Twenty-First Century -- 2.1 Introduction -- 2.2 Viable Populations -- 2.3 Sufficiently Large Numbers and the Amount of Area They Require -- 2.4 Challenges -- 2.5 Trophic Downgrading: "When the Cat Is Away, the Mice Will Play" -- 2.6 Conservation in Twenty-First Century: 'Cores, Corridors and Carnivores' Meets 'Nature Needs Half' -- 2.7 Viable Ecosystems with Red Deer and Wolf in the Netherlands -- 2.7.1 Current Population of Red Deer in the Netherlands -- 2.7.2 Current Population of Wolf in the Netherlands -- 2.7.3 Predator-Prey Relation Between Wolf and Red Deer -- 2.8 The Netherlands in 2120 -- 2.9 Change -- 2.10 Further Reading -- References -- Part I Animal Agents -- 3 Taking Animal Perspectives into Account in Animal Ethics -- 3.1 Introduction -- 3.2 Conceptualizing Animal Agency: Two Models -- 3.2.1 Propositional Agency -- 3.2.2 Materialist Agency -- 3.2.3 A Working Definition of Agency -- 3.3 Taking into Account Relational Agency in Animal Ethics on the Micro- and Macro Level -- 3.3.1 Relational Agency and Animal Ethics…”

Tabla de Contenidos: “…4.5.2 VERTICAL METAL-OXIDE SEMICONDUCTOR POWER FIELD-EFFECT TRANSISTORS -- 4.5.3 GATE DRIVE IMPEDANCE -- Gate-Source Overvoltage -- Source Lead Inductance -- 4.5.4 SWITCHING SPEED -- 4.5.5 ON-STATE RESISTANCE -- P-Channel Vertical Metal-Oxide Semiconductor -- 4.6 INSULATED GATE BIPOLAR TRANSISTORS -- 4.6.1 INSULATED GATE BIPOLAR TRANSISTOR STRUCTURE -- 4.6.2 ADVANTAGES OVER MOSFETS AND BIPOLARS -- 4.6.3 DISADVANTAGES -- 4.7 WIDE BAND GAP DEVICES -- 5 - Analog Integrated Circuits -- 5.1 THE IDEAL OP-AMP -- 5.1.1 APPLICATIONS CATEGORIES -- 5.2 THE PRACTICAL OP-AMP -- 5.2.1 OFFSET VOLTAGE -- Output Saturation Due to Amplified Offset -- Reducing the Effect of Offset -- Offset Drift -- Circuit Techniques to Remove the Effect of Drift -- 5.2.2 BIAS AND OFFSET CURRENTS -- Bias Current Levels -- Output Offsets Due to Bias and Offset Currents -- 5.2.3 COMMON-MODE EFFECTS -- Common-Mode Rejection Ratio -- Power Supply Rejection Ratio -- 5.2.4 INPUT VOLTAGE RANGE -- Absolute Maximum Input -- 5.2.5 OUTPUT PARAMETERS -- Power Rail Voltage -- Load Impedance -- 5.2.6 AC PARAMETERS -- 5.2.7 SLEW RATE AND LARGE-SIGNAL BANDWIDTH -- Slew Rate -- Large-Signal Bandwidth -- Slewing Distortion -- 5.2.8 SMALL-SIGNAL BANDWIDTH -- 5.2.9 SETTLING TIME -- 5.2.10 THE OSCILLATING AMPLIFIER -- Ground Coupling -- Power Supply Coupling -- Output-Stage Instability -- Stray Capacitance at the Input -- Parasitic Feedback -- 5.2.11 OPEN-LOOP GAIN -- Sagging AOL -- 5.2.12 NOISE -- Definitions -- 5.2.13 CALCULATING THE EFFECT OF NOISE IN A CIRCUIT -- Power Spectral Density of Noise -- Types of Noise -- Thermal Noise -- Amplifier Noise -- Noise Bandwidth -- Modeling and Simulation of Noise -- 5.2.14 SUPPLY CURRENT AND VOLTAGE -- Supply Voltage -- Supply Current -- lS Versus Speed and Dissipation -- 5.2.15 TEMPERATURE RATINGS -- Specification Validity -- Package Reliability…”

Tabla de Contenidos: “…5.3.2 Allocation and implementation of large-scale facilities -- 5.3.3 Optimal operation of processes -- 5.3.4 Develop valuable applications of microalgae biomass -- 5.4 Relevance of Developing Microalgae-Related Wastewater Treatment Processes -- 5.4.1 Improvement of sustainability of wastewater treatment -- 5.4.2 Distributed wastewater treatment -- 5.4.3 Reuse of effluents in agriculture -- Acknowledgements -- References -- Chapter 6 : Microalgae-methanotroph cocultures for carbon and nutrient recovery from wastewater -- 6.1 Background -- 6.2 Overview of Microalgae-Methanotroph Cocultures: A Promising W2V Platform for Wastewater Treatment -- 6.3 Experimental and Computational Tools for Real-Time Characterization of the Microalgae-Methanotroph Cocultures -- 6.3.1 Accurate measurement of gas component uptake and production rates in bioconversion -- 6.3.2 Quantitative characterization of microalgae-methanotroph cocultures -- 6.4 Semi-Structured Kinetic Modeling of the Coculture -- 6.5 Integrated Nutrient Recovery and Mitigation of Greenhouse Gas Emissions from Wastewater Using Microalgae-Methanotroph Cocultures -- 6.5.1 Choice of a suitable biocatalyst -- 6.5.2 Coculture tolerance to contaminants in raw biogas -- 6.5.3 Freshwater consumption required by wastewater treatment -- 6.5.4 Pretreatment of AD effluent -- 6.5.5 Advantage of the coculture over sequential single cultures in carbon and nutrient recovery -- 6.6 Next-Generation Photobioreactors -- 6.7 Outlook and Conclusion -- References -- Part 3: Integration with Other Technologies -- Chapter 7 : Microalgae cultivation in bio-electrochemical systems -- 7.1 Introduction -- 7.2 Use of Algae in MFCs -- 7.2.1 Algae as primary producers -- 7.2.2 Algae metabolism -- 7.2.3 Large-scale microalgae cultivation -- 7.3 Role of Algae in PMFCs…”

Tabla de Contenidos: “…3 soid-gui Architecture and Usage -- 3.1 Example #2: Three Cars on the Stand -- 4 Conclusion -- References -- Machine Learning and Neural Networks -- Marabou 2.0: A Versatile Formal Analyzer of Neural Networks -- 1 Introduction -- 2 Architecture and Core Components -- 2.1 Engine -- 2.2 Context-Dependent Data-Structures -- 2.3 Proof Module -- 2.4 Front End -- 2.5 Availability, License, and Installation -- 3 Highlighted Features and Applications -- 4 Runtime Evaluation -- 5 Conclusion and Next Steps -- References -- Monitizer: Automating Design and Evaluation of Neural Network Monitors -- 1 Introduction -- 2 Related Work -- 3 Monitizer -- 3.1 Overview -- 3.2 Use Cases -- 3.3 Phases of Monitizer -- 3.4 Classification of Out-of-Distribution Data -- 3.5 Library of Monitors, NNs, and Datasets -- 4 Summary of Evaluation by Case Study -- 5 Conclusion -- References -- Guiding Enumerative Program Synthesis with Large Language Models -- 1 Introduction -- 2 Background -- 3 Overview -- 4 Stand-Alone LLM -- 4.1 Prompting the LLM -- 5 Synthesis with pCFG Guidance: pCFG-synth -- 5.1 Inferring a Weighted CFG -- 5.2 Probabilistic Guided Search -- 5.3 Weighted A* Search -- 6 Enumerative Synthesis with an Integrated LLM (iLLM-synth) -- 6.1 Integrated Prompting -- 6.2 Updating the Weighted Grammar -- 6.3 Integrating Syntactic Feedback into Enumerative Search -- 7 Evaluation -- 8 Threats to Validity -- 9 Related Work -- 10 Conclusions -- References -- Enchanting Program Specification Synthesis by Large Language Models Using Static Analysis and Program Verification -- 1 Introduction -- 2 Background and Motivation -- 3 Methodology -- 3.1 Code Decomposition -- 3.2 Hierarchical Specification Generation -- 3.3 Specification Validation -- 4 Evaluation -- 4.1 Evaluation Setup -- 4.2 RQ1. …”

Tabla de Contenidos: “…Case Study (Advanced): NoSQL -- Glossary -- References -- Chapter 12: Finding the Clues in Large Collections of Data -- Section 12.1. Denominators -- Section 12.2. …”

Tabla de Contenidos: “…Front cover -- Contents -- Figures -- Tables -- Examples -- Notices -- Trademarks -- Preface -- The team that wrote this redbook -- Become a published author -- Comments welcome -- Chapter 1. e-Business Intelligence and DB2 UDB ESE -- 1.1 Business issues and challenges -- 1.1.1 Build larger and larger data warehouses -- 1.1.2 Load and populate the data warehouse as fast as possible -- 1.1.3 Perform queries with performances -- 1.1.4 Operate in a 24 hours/7 days mode -- 1.1.5 Manage the data warehouse -- 1.1.6 Upgrade the data warehouse -- 1.1.7 Summary -- 1.2 DB2 UDB V8.1 functions for e-Business Intelligence -- 1.2.1 Performance enhancements -- 1.2.2 Availability enhancements -- 1.2.3 Manageability enhancements -- 1.2.4 UNION ALL views -- 1.3 New functionalities of IBM e-server p690 -- 1.3.1 Hardware overview -- 1.3.2 Logical partitioning for OLTP-aware e-BI -- 1.3.3 Cluster 1600 -- 1.3.4 Enhancements with AIX V5.2 -- 1.3.5 Workload management -- 1.4 Case study and technical environment -- 1.4.1 The case study based on TPC-H -- 1.4.2 Technical environment -- Chapter 2. Build a large data warehouse -- 2.1 Steps for building a large data warehouse -- 2.2 Disk considerations -- 2.2.1 Summary of the most popular RAID levels -- 2.2.2 Data placement -- 2.2.3 Log placement -- 2.2.4 Data availability and performance -- 2.2.5 General storage performance recommendations -- 2.3 Database design considerations -- 2.3.1 Understand data partitioning -- 2.3.2 Define the number of database partitions -- 2.3.3 Define database partition groups -- 2.3.4 Design the table spaces -- 2.3.5 Understand partitioning map -- 2.3.6 Choose the partitioning key -- 2.3.7 Size the tables -- 2.3.8 Size for MDC utilization -- 2.3.9 Size for MQT utilization -- 2.3.10 Configure DB2 UDB -- 2.3.11 Recommended parameters for performance…”

Tabla de Contenidos: “…Stover Dose-Dependent Prebiotic Effect of Lactulose in a Computer-Controlled In Vitro Model of the Human Large Intestine Reprinted from: Nutrients 2017, 9, 767, doi: 10.3390/nu9070767 184 -- Urszula Krupa-Kozak, Lidia H. …”

Tabla de Contenidos: “…2 Background -- 2.1 Fairness of the Learned Model -- 2.2 Fairness in the Presence of Dataset Bias -- 3 Overview of Our Method -- 3.1 The KNN Algorithm -- 3.2 Certifying the KNN Algorithm -- 4 Abstracting the KNN Prediction Step -- 4.1 Finding the K-Nearest Neighbors -- 4.2 Checking the Classification Result -- 5 Abstracting the KNN Learning Step -- 5.1 Overapproximating the Classification Error -- 5.2 Underapproximating the Classification Error -- 6 Experiments -- 7 Related Work -- 8 Conclusions -- References -- Monitoring Algorithmic Fairness -- 1 Introduction -- 1.1 Motivating Examples -- 1.2 Related Work -- 2 Preliminaries -- 2.1 Markov Chains as Randomized Generators of Events -- 2.2 Randomized Register Monitors -- 3 Algorithmic Fairness Specifications and Problem Formulation -- 3.1 Probabilistic Specification Expressions -- 3.2 The Monitoring Problem -- 4 Frequentist Monitoring -- 4.1 The Main Principle -- 4.2 Implementation of the Frequentist Monitor -- 5 Bayesian Monitoring -- 5.1 The Main Principle -- 5.2 Implementation of the Bayesian Monitor -- 6 Experiments -- 7 Conclusion -- References -- nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models -- 1 Introduction -- 2 Background and Related Work -- 2.1 Natural Language to Linear-Time Temporal Logic -- 2.2 Large Language Models -- 3 The nl2spec Framework -- 3.1 Overview -- 3.2 Interactive Few-Shot Prompting -- 4 Evaluation -- 4.1 Study Setup -- 4.2 Results -- 5 Conclusion -- References -- NNV 2.0: The Neural Network Verification Tool -- 1 Introduction -- 2 Related Work -- 3 Overview and Features -- 3.1 NNV 2.0 vs NNV -- 4 Evaluation -- 4.1 Comparison to MATLAB's Deep Learning Verification Toolbox -- 4.2 Neural Ordinary Differential Equations -- 4.3 Recurrent Neural Networks -- 4.4 Semantic Segmentation -- 5 Conclusions -- References…”