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• Elements of time scale calculus
• Elements of fractional dynamic calculus on time scales
• Linear inequalities for Riemann-Liouville fractional delta integral operator
• Fractional Young and Holder inequalities
• Fractional inequalities for convex functions
• Opial-type inequalities
• Chebyshev-type inequalities
• Hardy-type fractional inequalities
• Reverse Hardy-type fractional inequalities
• Inequalities for generalized Riemann-Liouville fractional integrals
• Some inequalities
• Jensen inequalities.

" Pairing necessary detail with concise readability, Berne & Levy Physiology, 8th Edition, provides a perfect balance of content to deliver an in-depth understanding of the body's dynamic processes. Long respected for its scientifically rigorous approach, this highly regarded, mid-size text offers essential physiology with integrated coverage of biophysics andkey experimental observations and examples—all designed to provide a solid scientific foundation in physiology for future scientists and clinicians. Uses a logical, organ system-based approach that clearly describes all of the mechanisms that control and regulate bodily function. Includes new clinical case examples, as well as In the Clinic and At the Molecular Level boxes that highlight practical aspects of this fundamental science. Provides key experimental observations and examples that offer a rich understanding of the body's dynamic processes. Discusses recent discoveries such as the role of lymphatics in the nervous system. Begins each chapter with a bulleted list of questions and ends with key concepts covered in that chapter. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices. " -- Provided by publisher.

• E9780128219782v1_WEB
• Cover
• COMPREHENSIVE COMPUTATIONAL CHEMISTRY
• CONTENTS OF VOLUME 1
• LIST OF CONTRIBUTORS FOR VOLUME 1
• Editor Biographies
• Preface
• Acknowledgements
• Dedication
• Introduction to "Advanced Electronic Structure Methods in Computational Quantum Chemistry"
• 1 Introduction
• 2 Chapters and Contents
• 3 Summary
• Modern Basis Sets Across the Periodic Table
• Key Points
• 1 Introduction
• 2 Background
• 3 Common Families of Basis Sets
• 3.1 Atomic Natural Orbital Basis Sets
• 3.2 Correlation Consistent Basis Sets
• 3.3 Karlsruhe Basis Sets

• 3.4 Polarization Consistent Basis Sets
• 3.5 nZaP Basis Sets
• 3.6 Sapporo Basis Sets
• 3.7 Dyall Correlation Consistent Basis Sets
• 4 Modern Basis Sets Across the Periodic Table
• 4.1 H, He and the First two Main Group Rows
• 4.2 Alkali and Alkaline Earth Elements
• 4.3 d-Block Elements
• 4.4 Post-d Main Group Elements
• 4.5 f-Block Elements
• 4.6 Superheavy Elements (6d, 7p)
• 5 Summary
• References
• How Coupled-Cluster Theory is Solving the Electron Correlation Problem
• Key Points
• 1 Introduction
• 2 Brief Sketch of CC Theory
• 3 Numerical Applications
• 3.1 Ground States

• 3.1.1 Tailoring T amplitudes
• 3.1.2 Analytic gradients and Hessians
• 3.1.3 Derivative and response theories for properties
• 3.1.4 Molecular dipole static and dynamic polarizabilities and C6 coefficients
• 3.1.5 NMR chemical shifts and indirect spin-spin coupling constants
• 3.1.6 Electron spin (or paramagnetic)-resonance (ESR or EPR) spectra tensors
• 3.1.7 Beyond Born-Oppenheimer approximation (anharmonic frequencies and vibrational effects on ground state properties)
• 3.1.8 Composite Methods
• 3.2 CC Excited States
• 3.2.1 CC excited state methods
• 3.2.2 IP-EOM-CC and EA-EOM-CC

• 3.2.3 Other low scaling EOM-CC methods
• 3.2.4 Analytical gradients of EOM-CC and applications
• 3.2.5 Relativistic effects and Spin-orbit coupling constants
• 4 Concluding Remarks
• Acknowledgment
• References
• Benchmark Accuracy in Thermochemistry, Kinetics, and Noncovalent Interactions
• Key Points
• Glossary
• 1 Introduction
• 2 Accuracy in Quantum Chemical Calculations
• 3 Overview of Composite Ab Initio Methods
• 3.1 Computational Cost of Composite Ab Initio Methods
• 3.2 Accuracy of Composite Ab Initio Methods
• 4 Energy Components in High-Level Composite Ab Initio Methods

• 4.1 Valence CCSD(T) Energy Components
• 4.2 Post-CCSD(T) Energy Components
• 4.3 Secondary Energy Corrections
• 5 Putting it all Together for Thermochemistry, Kinetics, and Noncovalent Interactions
• Acknowledgments
• References
• Modern Density Functionals Derived From First Principles
• Key Points
• 1 Introduction to Kohn-Sham Density Functional Theory
• 2 Exact Constraints for the Exchange-Correlation Hole and Energy Functional
• 3 Jacob's Ladder Hierarchy and Some Non-Empirical Functionals on it
• 3.1 Rung 1: Local Spin Density Approximation

"The definitive market leader and decisive text for the field, Michael Barresi's Developmental Biology includes new features and active learning approaches to help students and instructors succeed, including electronic interviews, videos, tutorials, and case studies. Built on the excellent writing, accuracy, and enthusiasm of the original text, the new edition features on line resources that dynamically convey ideas and concepts, and creates an experience that meets the desires of those teaching Developmental Biology to a new generation"-- Provided by publisher.

Building great software requires outstanding teamwork across multiple disciplines. All teams and participants need to align behind clear goals that deliver real value (outcomes), not just lots of features (output). Sprint Goals are the most powerful tool Scrum/Agile teams have to pursue high-value outcomes, but many Scrum Teams avoid them, misuse them, or struggle to apply them. Succeeding with Sprint Goals covers everything you need to define, create, and execute on Sprint Goals that deliver outstanding value to customers and the business. Leading Scrum practitioner Maarten Dalmijn bridges the gap between theory and practice, offering a fresh, unique, and cohesive perspective on the Scrum framework that will be valuable to every Product Owner, Product Manager, Scrum Master, Agile coach, and technology executive. You will learn why Sprint Goals are so important, how to use them throughout the Sprint and at Review and Retrospective, how to overcome common obstacles to success, and how to use them to build high-performing teams. As Dalmijn presents critical Scrum and product management fundamentals through the lens of the Sprint Goal, he helps you move your entire organization from low-value "feature factories" to high-value outcomes

• Volume 1. Places & habitats
• volume 2. Organisms
• volume 3. Humans and their effects
• volume 4. Humans & conservation
• volume 5. Ecology theory
• volume 6. Ecology processes
• volume 7. Evolution.

"Encyclopedia of Biodiversity, Third Edition, Seven Volume Set provides a coherent, synthetic and comprehensive overview of the field, bringing together contributions from over 400 expert academics and practitioners. The book brings together the dimensions of biodiversity and examines the services it provides and measures to protect it. Major themes include the evolution of biodiversity, systems for classifying and defining biodiversity, ecological patterns and theories of biodiversity, and an assessment of contemporary patterns and trends in biodiversity. The entire work is reviewed and updated, including new chapters on topics which have come to the forefront since the publication of the previous edition."--Publisher's website.

• Volume 1. Experimental and theoretical methods
• Volume 2. Phenomena and understanding
• Volume 3. Applications.

"Encyclopedia of Solid-Liquid Interfaces is designed to provide a comprehensive overview of macroscopic phenomena at solid-liquid interfaces, e.g. in physics, chemistry, geology, biology and technology, and to describe the methodological approaches and strategies to gain microscopic insight into the underlying properties and processes on the atomic/molecular level. Covering an area of chemistry that plays a fundamental role in nature and technology, the book compiles all relevant features of the field into a 'one-stop' reference source that will be relevant to a wide range of interdisciplinary scientists, researchers and academics. Encompassing 170 chapters by renowned experts, and led by leading names in the field, the contents will be organized over 3 volumes."--Publisher's website.

"Requiring only introductory statistics and basic mathematics, this textbook avoids jargon and provides worked examples, data sets and R code, and review exercises. Designed for advanced undergraduates and postgraduates studying biostatistics and experiment design in biology-related fields, it applies statistical concepts to biological scenarios"-- Provided by publisher.

• An apocalypse without kingdom
• Beginnings of "the end"
• 'Till entropy death do us part
• The invention of omnicide
• Mother nature wants to kill us
• The perfection of evil
• What is human extinction?
• Early ruminations
• Ethical innovations of the postwar era
• Astronomical value and the harm of existence
• Recent developments
• Looking forward to the future.

"This volume traces the origins and evolution of the idea of human extinction, from the ancient Presocratics through contemporary work on "existential risks." Although accessible enough to be read by undergraduates, Human Extinction contains new and thought-provoking research that will benefit even established academic philosophers and historians"-- Provided by publisher.

• Why teach science to all learners?
• Why do pupils with SEND underachieve in science and how can teachers mitigate this?
• Assessment for success
• Approaches to teaching exemplar science topics.

• Introduction
• Preparing the Development Environment
• Brief Introduction to HTML
• Brief Introduction to CSS, JavaScript, and Bootstrap
• Some C# Fundamentals
• Middleware, Services, and an Introduction to Dependency Injection
• Routing, Models, and Controllers
• Core on Controllers
• Razor Views, Razor Engine, and Model Binding
• Server Validation
• Persistent Data: Entity Framework (core) and Dependency Injection Revisited
• Consistent Look: Layouts, Friendly Error Pages, and Environments
• Working with Images
• Authentication
• References

This book introduces a simplified approach to web application development using the open-source ASP .Net Core MVC framework. Readers will learn to implement web applications using the following languages and frameworks: HTML, JavaScript, CSS, Bootstrap, C#, ASP .Net, and Entity Framework Core. In addition, this book addresses how to build a web application to create user accounts, store data in a database, manipulate data, and how to allow controlled access to certain parts of the application functionality. The author also covers both client-side and server-side development and the use of an object relational mapper to work with persistent data (using a database). Topics include: models, views, controllers, routing, entity framework core, identity, layouts, dependency injection and services, model binder, among others. This book: Introduces the development of web applications using the open-source ASP .Net Core MVC framework Implements web applications including HTML, JavaScript, CSS, Bootstrap, C#, ASP .Net, and Entity Framework Core Features client-side development, server-side development, and object relational mapper software

• Between silence and pain : loudness and the affective disorder
• Let's listen to nothing : silence and the anechoic chamber
• Silencing and alternative silences
• Projecting results : opera supertitles and the people who hated them
• Diaries and postcards : archival privilege, empathy, and intimacy
• Deploying deadness in Louis Armstrong's house
• Tape death : mourning sounds we never heard.

• Introduction and motivation
• Numerical methods for 1D hyperbolic problems
• Edge-based flux correction for continuous Galerkin methods
• Element-based algorithms for continuous Galerkin methods
• Flux and slope limiting for discontinuous Galerkin methods
• High-order finite elements and time discretizations
• Analysis of finite volume methods for hyperbolic problems
• Analysis of finite element schemes for hyperbolic problems.

• Local moves on knots : for beginners
• Four-dimensional space R⁴
• Local moves in higher-dimensional space : for beginners
• Knotted-objects in 4-space and beyond
• Local moves on high-dimensional knots and related invariants
• The Alexander and Jones polynomials of one-dimensional links in R³
• Local moves and knot polynomials in higher dimensions
• Important topics in knot theory.

"From the latest vaccination evidence, recommendations, and protocols . . . to new vaccine development and the use of vaccines in reducing disease, Plotkin’s Vaccines, 8th Edition, covers every aspect of vaccination. Now completely revised and updated from cover to cover, this award-winning text continues to provide reliable information from global authorities, offering a complete understanding of each disease, as well as the latest knowledge of both existing vaccines and those currently in research and development. Described by Bill Gates as "an indispensable guide to the enhancement of the well-being of our world," Plotkin’s Vaccines is a must-have reference for current, authoritative information in this fast-moving field." -- Provided by publisher.

• Scalar wave scattering by one small body of an arbitrary shape
• Scalar wave scattering by many small bodies of an arbitrary shape
• Creating materials with a desired refraction coefficient
• Wave-focusing materials
• Electromagnetic wave scattering by a single small body of an arbitrary shape
• Many-body scattering problem in the case of small scatterers
• Creating materials with a desired refraction coefficient
• Electromagnetic wave scattering by many nanowires
• Heat transfer in a medium in which many small bodies are embedded
• Quantum-mechanical wave scattering by many potentials with small support
• Some results from the potential theory
• Collocation method
• Some inverse problems related to small scatterers.

Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrime Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn how to frame a cyber security problem as a machine learning problem Examine your model for robustness against adversarial machine learning Build your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientist Book Description Machine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space. The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python - by using open source datasets or instructing you to create your own. In one exercise, you'll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, you'll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio. By the end of this book, you'll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML. What you will learn Use GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and features Discover how to apply ML techniques in the cybersecurity domain Apply state-of-the-art algorithms such as transformers and GNNs to solve security-related issues Leverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysis Apply privacy-preserving ML techniques and use differential privacy to protect user data while training ML models Build your own portfolio with end-to-end ML projects for cybersecurity Who this book is for This book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you're a beginner or an experienced professional, this book offers a unique and valuable learning experience that'll help you develop the skills needed to protect your network and data against the ever-evolving threat landscape.

• On some de novo type approaches to fuzzy decision making, optimization and control: an application to sustainable regional development
• Summarization of bimodal information from large data sets
• Multi-attribute decision making in material selection under Z-valued information
• Decision making on students performance estimation
• Decision making on selection of Ferritic stainless steel
• Forecasting demand in the commodity market of food products using neural networks
• Estimation of countries economic development by using Z-number theory
• Optimal implication-based fuzzy control system for a steam generator
• Prediction of energy consumption in residential buildings using Type-2 fuzzy wavelet Neural Network
• Analysis of knee osteoarthritis grading using Deep Learning
• Solving problem of unit commitment by exchange market algorithm and dynamic planning method
• Regular Identification Algorithms for a Special Class of Neuro-Fuzzy Models ANFIS.

The general scope of the book covers diverse areas of fuzzy systems, soft computing, AI tools such as uncertain computation, decision-making under imperfect information, deep learning, and others. The topics of the papers include theory and application of Soft Computing, Neuro-Fuzzy Technology, Intelligent Control, Deep Learning-Machine Learning, Fuzzy Logic in Data Analytics, Evolutionary Computing, Fuzzy logic and Artificial Intelligence in Engineering, Social Sciences, Business, Economics, Material Sciences, and others. This book presents the proceedings of the 16th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2022, held in Budva, Montenegro, on August 26-27, 2022. This is a useful guide for academics, practitioners, and graduates in fields of fuzzy logic and soft computing. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

This book contains accepted papers presented at SOCO 2022 conference held in the beautiful and historic city of Salamanca (Spain), in September 2022. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

This resource presents a series of compelling exercises of increasing difficulty in formal languages, automata and computation, key topics in theoretical computer science. Comprehensive solutions are provided for all problems, making it a perfect resource for self-study, as well as a source of examples and problems for instructors.

• Influence of COVID-19 Confinement and Pandemic on the Academic Performance of Students
• 3D with Artificial Intelligence Technology Contributes Science and Technology Education Development
• Enhancing Engineer and Engineering Perception Through Video Design in STEM Education
• Circulation as a Concept Graphically Represented in a Game-like Manner to Support the Design Process in Architecture
• The Blockchain Technology Applications in Higher Education
• Undergraduate Engineering Laboratories: A Study Exploring Laboratory Objectives and Student Experiences at an Irish University.

This volume of the series Proceedings in Engineering Mechanics - Research, Technology and Education provides selected papers presented at the 3rd International Conference on Science and Technology Education, held in Porto, Portugal, October 6-7, 2022. From the various topics covered at this conference, individual contributions have been selected for this book. These contributions focus on learning mechanisms, learning systems and assessment. The book presents the latest trends, new methods and ideas in science and technology education. An essential resource for lecturers and tutors working in this field.

Kubernetes is a trending topic among engineers, CTOs, CIOs, and other technically sound professionals. Due to its proliferation and importance for all cloud technologies, DevOps engineers nowadays need a solid grasp of key Kubernetes concepts to help their organization thrive. This book equips you with all the requisite information about how Kubernetes works and how to use it for the best results. You'll learn everything from why cloud native is important to implementing Kubernetes clusters to deploying applications in production. This book takes you on a learning journey, starting from what cloud native is and how to get started with Kubernetes in the cloud, on-premises, and PaaS environments such as OpenShift. Next, you'll learn about deploying applications in many ways, including Deployment specs, Ingress Specs, and StatefulSet specs. Finally, you'll be comfortable working with Kubernetes monitoring, observability, and security. Each chapter of 50 Kubernetes Concepts Every DevOps Engineer Should Know is built upon the previous chapter, ensuring that you develop practical skills as you work through the code examples in GitHub, allowing you to follow along while giving you practical knowledge. By the end of this book, you'll be able to implement Kubernetes in any environment, whether it's an existing environment, a greenfield environment, or your very own lab running in the cloud or your home.

The documentary tells the story of the worst drought ever to occur in South Africa, one that forced water consumption to just 50 liters per person, per day.

• Part I. Bigdata Services
• Chapter 1. Modelling Cognitive Scores for Alzheimer's Disease Progression Prediction Using Longitudinal MRI D
• Chapter 2. Various Physiological Methods to Identify Sleep Onset
• Chapter 3. IoT Adoption: Challenges among Small and Medium Enterprises
• Chapter 4. Performance evaluation of Adaptive Neuro Fuzzy Inference System (ANFIS) for the prediction of Cloud Service Provider
• Part II. Bigdata and Security
• Chapter 5. Online Covid-19 Risk Analysis System for Early Detection of Possible Infection
• Chapter 6. Application of Multi focused and Multi Modal image fusion using Guided Filter on Bio-Medical Images
• Chapter 7. Experimental Comparative Analysis on Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) on Aspect Level Sentiment Analysis
• Part III. Bigdata Emerging Applications
• Chapter 8. Data hiding in binary images for secret and secure communication using decision tree
• Chapter 9. Private and Secure Blockchain-based mechanism for an Online Voting System
• Chapter 10. AI-Enabled Pregnancy Risk Monitoring and Prediction: A Review
• Chapter 11. Finger Knuckle Print Recognition using Complex Conjugate Feature Vector
• Part IV. Bigdata and Technology
• Chapter 12. What Your Tweets Say about You – A case study of Extraversion and word usage
• Chapter 13. An Automated Cervical Cancer Detection mechanism using Pap smear images
• Chapter 14. A Systematic Literature Review on Data Freshness for reinforcing mutual authentication in Wireless Body Area Networks
• Chapter 15. Detection of Non-Technical Losses in Power Utilities Using Machine Learning
• Part V. Bigdata in Medical Applications
• Chapter 16. A Novel Real Time 3D Object Detection Network in Autonomous Driving using reformed rs-resnet network
• Chapter 17. Solar radiation prediction using the random forest regression algorithm
• Chapter 18. Vehicular Support System for User and Vehicle Accident Prevention.

This book features the proceedings of the 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2022). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

• Part I: Terrestrial, Shipboard and Airborne Gravimetry
• Measurement of Absolute Gravity and Deflection of the Vertical at Sea
• Multi-scenario Evaluation of the Direct Method in Strapdown Airborne and Shipborne Gravimetry
• Improving Gravity Estimation Accuracy for the GT-2A Airborne Gravimeter Using Spline-Based Gravity Models
• Gravimetric Studies in the Sea of Japan
• About Identification of Instrument Error Parameters for a Gravity Gradiometer
• Numerical Model of Moving-Base Rotating Accelerometer Gravity Gradiometer
• New Algorithm for Gravity Vector Estimation from Airborne Data Using Spherical Scaling Functions
• Results of Astro-measurements of the Deflection of Vertical Using the New Observation Technique
• Observations with gPhone Gravimeter in Moscow
• Part II: Absolute Gravimetry
• On Uncertainties of Laser Interferometric Absolute Ballistic Gravimeters due to Magnetic Effects in the Free-Fall Gravity Measurements
• Evaluation of Systematic Errors in the Compact Absolute Gravimeter TAG-1 for Network Monitoring of Volcanic Activities
• Design of New Launch and Interferometer Systems for the IMGC-02 Absolute Gravimeter
• Twelve Years of High Frequency Absolute Gravity Measurements at the UK’s Space Geodesy Facility: Systematic Signals and Comparison with SLR Heights
• Part III: Relative Gravimetry and Applications
• Studying the Evolution of Resolution Capabilities and Approximation Accuracy of Global Models by Spectral Characteristics
• The Role of Non-tidal Atmospheric Loading in the Task of Gravity Field Estimation by Inter-satellite Measurements
• Formation of Self-consistent Navigational Gravity Maps of Local Areas and Joint Assessment of Their Navigation Quality
• Methods of Bistatic GNSS-radio Altimetry for Determining Height Profile of the Ocean and Their Experimental Verification
• Absolute and Relative Gravity Measurements at Volcanoes: Current State and New Developments Under the NEWTON-g Project
• The Effect of Measurement Preprocessing in the Gravity-Aided Navigation
• Sensitivity of Algorithms for Estimating the Gravity Disturbance Vector to Its Model Uncertainty

• Intro
• Title page
• Copyright page
• Epigraph
• Contents
• Preface
• Introduction
• 1. Our Hero
• 1. Introduction
• 2. De Sitter : Minkowski :: Sphere : Plane
• 3. Homogeneous But Not Stationary
• 4. The Conformal Completion
• 2. Let the Good Times Roll
• 1. Introduction
• 2. Einstein Simultaneity and the Static Patch
• 3. Simultaneity via Symmetry
• 4. Simultaneity via Comoving Observers-Flat Slices
• 5. Simultaneity via Comoving Observers-Spherical Slices
• 6. Flow and de Sitter
• 3. Symmetry and Curvature
• 1. Introduction
• 2. Spaces of Constant Curvature

• 3. Highly Symmetric Spaces
• 4. The Riemannian Case
• 5. The Lorentz Case
• 4. Elliptic de Sitter Spacetime
• 1. Introduction
• 2. Elliptic Geometry: The Riemannian Case
• 3. Elliptic Geometry: The Lorentz Case
• 4. And Yet...
• 5. The Anti-Hero
• 1. Introduction
• 2. Anti-de Sitter Basics
• 3. The Boundary of AdS
• 4. Observer Complementarity
• 5. AdS/CFT
• 6. AdS/CFT and Elliptic de Sitter Spacetime
• 6. Asymptotically de Sitter Spacetimes
• 1. Prologue
• 2. The Rules of the Game
• 3. The Asymptotically Minkowski Case
• 4. Going de Sitter
• 7. Stability, Instability, and Hair

• 1. Prologue
• 2. Warmup: Stability and Instability in Dynamical Systems
• 3. Global Stability
• 4. Example: The Instability of the Einstein Static Universe
• 5. The Global Non-Linear Stability of Minkowski Spacetime
• 6. The Global Non-Linear Stability of de Sitter Spacetime
• 7. The Cosmic No-Hair Conjecture
• 8. Anti-de Sitter Spacetime and Global Non-Linear Stability
• 8. Cosmic Topology
• 1. Introduction
• 2. Observational Indistinguishability
• 3. Cosmological Models
• 4. Cosmology and Indistinguishability
• 5. Topology of Space Forms

• 6. Ringström on Approximate Observational Indistinguishability
• 9. Brains!
• 1. Introduction
• 2. Statistical Physics-A Quick Review
• 3. Boltzmann and Eddington Get Us into a Mess
• 4. Eddington's Solution
• 5. The Worm Turns
• 6. Questions
• References
• Index

• Foundational Methods Enabling Science in an Integrated Ecosystem.- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models.- Self-learning Data Foundation for Scientific AI.- Preconditioners for batched iterative linear solvers on GPUs.- Mobility Aware Computation Offloading Model for Edge Computing.- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem.- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials.- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management.- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms.- Implementation of a framework for deploying AI inference engines in FPGAs.- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem.- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data.- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems.- The INTERSECT Open Federated Architecture for the Laboratory of the Future.- Real-Time Edge Processing During Data Acquisition.- Towards a Software Development Framework for Interconnected Science Ecosystems.- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem.- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning.- Toward an Autonomous Workflow for Bragg Peak Detection at SNS.- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows.- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem.- Simulation Workflows in Minutes, at Scale for Next-Generation HPC.- Scientific Data Challenges.- Machine Learning approaches to High Throughput Phenotyping.- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2.- Usage Pattern Analysis for The Summit Login Nodes.- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations.- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area.- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually, during August 23-25, 2022. The 24 full papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: foundational methods enabling science in an integrated ecosystem; science and engineering applications requiring and motivating an integrated ecosystem; systems and software advances enabling an integrated science and engineering ecosystem; deploying advanced technologies for an integrated science and engineering ecosystem; and scientific data challenges.
(source: Nielsen Book Data)

• Methods for Analyzing Cognitive Architecture.- Cognitive Resonance and the Architecture Issues of Cognitive Information Systems.- Dyspraxia: an experimental clinical model for the study of the embodied cognition.- Role of Presence, Memory and Spatial Ability in a Desktop Virtual Reality.- Experiences and guidelines for developing 3D VR curricula.
• (source: Nielsen Book Data)

Considering the emergence of artificial intelligence, virtual and augmented reality, 3D video and television, and holography, it is logical that we should also begin to create applications and businesses driven by these technologies. The 12 chapters of Accentuated Innovations in Cognitive Info-Communication focus on the research and development of state-of-the-art information in Cognitive Info-Communication. This interdisciplinary research area has emerged as a synergy between Info-Communication and Cognitive Sciences. It presents a synthetic, holistic combination of coherent technologies that will become increasingly important in the coming decade. It is a teaching and reference guide for VR, robotics, virtual classrooms and institutions, and medicine at the undergraduate and postgraduate levels. The discussed book is an immersive learning experience for students and teachers worldwide. In addition, it applies to other fields such as healthcare, performing arts, and television.
(source: Nielsen Book Data)

4+ Hours of Video Overview Acceptance Testing by Paul Stringer is from the cleancoders.com video series. Learn acceptance testing through these five dynamic episodes. The Magnificent Testing Pyramid Acceptance Test Driven Development - Part 1 Acceptance Test Driven Development - Part 2 Who, Why & When? Architecture, BDD & Adoption: Related Learning Content Video: Clean Code Fundamentals (Clean Coders Video Series) by Robert C. Martin Book: Clean Craftsmanship by Robert C. Martin - Chapter 8: Acceptance Tests Live Course: Advanced Test-Driven Development by Robert C. Martin Episode Descriptions The Magnificent Testing Pyramid: Where do Acceptance Tests fit? In this episode, you'll develop definitive understanding of the different layers of the pyramid, the different names, and meanings, what they're all for, and how to apply this technical discipline effectively. The episode covers Unit, Functional, Component, Acceptance System & UI tests to unravel the mysteries of the pyramid. With this episode, you'll see how Acceptance Tests turn out to be completely unique from all other tests in ONE very important way and have all the foundations in place to delve deeper into the specifics of Acceptance Testing in the rest of this series. Acceptance Test Driven Development - Part 1: This episode revisits the origins of Acceptance Testing. You'll learn about the breakthrough HP-35 pocket calculator which inspired the first example for how to implement the practice and see the very first stages of this development process. We'll be building our own HP-35 from scratch using the latest fang-dangled app technologies and the examples and requirements from the original HP-35's Quick Reference Guide! And what? You have in this episode Uncle Bob himself sharing how he discovered Acceptance Testing and how it provided the inspiration for him to create 'FitNesse' one of the first Acceptance Testing tools - You don't want to miss this! Acceptance Test Driven Development - Part 2: This episode picks up from where you left off in Part 1. You will continue to apply the practice of "Acceptance Test Driven Development" (ATDD) bringing to life HP-35. We put in place the first arithmetic features with development 'driven' by the quick reference card from an actual HP-35. In this episode. You'll see in fine detail how acceptance tests, fixtures, unit tests and software all come together in a step-by-step walkthrough of ATDD in action. Along the way, watch how Acceptance Tests are the thing that saves Paul from creating bugs in the code. It finishes up with a completed 'rudimentary' YET fully functional text-based user interface and early automated test regression suite capturing all the important business details of what the software should do. This episode is key to seeing how Acceptance Testing practically helps developers get the software right earlier by bridging the detailed gap between business & developer - from the get-go. Who, Why & When? When exactly these 'detailed' requirements should get written on a project? How detailed they should be? Where do they belong in the process and WHO exactly should be writing them? In this episode, we move on from the development side of Acceptance Test-Driven Development and turn to the fundamentals of how these 'requirements' get written in the first place. We'll consider the impact this 'additional' work might have on our team's velocity and how it actually helps planning and the accuracy of our estimates bringing greater predictability through the 'shifting left' of the QA process. Enjoy the chance to be a fly-on-the-wall, watching along as our intrepid team wrestle with the process of writing up-front new requirements specific enough and through example, for the development team to carry on the work of developing their HP-35 calculator. Architecture, BDD & Adoption: When is Acceptance Testing is worth the effort & when it's not! In this episode, Paul shares his own experiences with the adoption of Acceptance Testing and some things you can do to improve your chances of success including the importance of a SOLID software design and architecture when adopting Acceptance Tests. We'll check in on a close cousin of Acceptance Testing: BDD, and see where the two approaches overlap, actual differences between them, what problems they solve and which is right for you. The episode finishes it up by considering the kinds of projects where Acceptance Testing is valuable and reflects on some famous examples of software that went wrong owing to missing requirements and not bugs. You'll get a few last tips as to how to assess your own projects to see if they're likely to benefit from adopting Acceptance Testing. If you decide that Acceptance Tests might be right for your team, Paul proposes his own 3 laws of Acceptance Testing to guide your implementation. And finally, catch up with the team as they put the finishing touches to their HP-35 Calculator and see it all come together (including those pesky UI Tests!!) About Paul Stringer Paul started using his first computer, an Apple ][ in 1983. This began a programming journey that included all things from Basic to Swift. Paul has 20 years of development experience, working with technology startups and enterprises. He continues a passion for all things agile and clean as a lead iOS engineer for UK technology consultants 'Equal Experts'. About Clean Coders Clean Coders is the leading producer of instructional videos for software professionals, taught in a way that both educates and entertains developers. Founded in 2010 by Robert "Uncle Bob" Martin and Micah Martin, Clean Coders has expanded to include a myriad of authors teaching an ever-increasing array of subject matters pertaining to clean code. Our training videos have inspired countless viewers to become the best developers they can be. cleancoders.com.

Most organizations put more resources toward identification, protection, and detection rather than their ability to respond to and recover from a cyber breach, leaving themselves vulnerable. But because companies can’t protect against every new cyberattack, it’s critical that they reduce the potential impact by putting more focus on cyber resilience. The authors describe how leaders can apply seven biology-inspired adaptive design principles to become more resilient against cyberattacks.

• Frontmatter
• Theory. Pioneering History
• Seismic Wave Equation
• Forward Problem of Tomography
• Inverse Problem
• Subsurface Parameterization
• Seismic Travel Time Tomography
• Seismic Full Waveform Tomography
• Applications. Tomography of Synthetic Seismic Data
• Travel Time Tomography of Seismic Data
• Full Waveform Tomography of Seismic Data
• Advanced Seismic Processing Using Tomographic Results
• Future Scope
• References
• Index

"The seismic method is one of the most promising geophysical methods that can help to explore the earth's interior. Numerous technology developments have been introduced in seismic methods over the decades for either to understand or to use the full recorded seismic data from the field. Seismic tomography is one of the seismic imaging techniques to delineate the subsurface linked with structures and numerical values of different physical parameters such as the seismic velocity, density, etc."-- Provided by publisher.