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" 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.

"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

• 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

"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.

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.

• 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