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Are you tired of copying and pasting code into your embedded projects? Do you want to write your own code from scratch for microcontrollers and understand what your code is doing without all the frills and math? This book uses a practical approach to show you how to develop embedded systems with 8-bit PIC microcontrollers using the XC8 compiler.Written for those who want more than an Arduino, but less than the more complex microcontrollers on the market, this new edition is fully updated and covers embedded design principles such as foreground-background loops and event driven programming. Yoüll learn how to interface with things like Motors, PID loop control and writing a browser-based monitoring system! This book is heavy on code, schematics, and images and focuses less on the theoretical aspects of using microcontrollers.Coverage includes writing a display driver, using the DAC for a multitude of waveform generation techniques, and building 8-bit IoT systems, real time telemetry, a countdown timer, and new peripherals. These topics are important if you want to learn more about PIC microcontroller devices as a whole. You'll also see the advantage that MPLAB X offers by running on Windows, Mac and Linux environments. You don't need to be a command line expert to work with PIC microcontrollers, so you can focus less on setting up your environment and more on your application. If you want to move beyond the Arduino, Programming PIC Microcontrollers with XC8 is your complete guide to understanding modern PIC microcontrollers.What Yoüll Learn Set up the MPLAB X and XC8 compilers for microcontroller development Use GPIO and PPS Review EUSART and Software UART communications Use the eXtreme Low Power (XLP) options of PIC microcontrollers Explore wireless communications with WiFi and BluetoothWho This Book Is ForThose with basic electronic device and electronic equipment experience and some knowledge of the C programming and digital electronics. Also targeted towards students wanting a practical overview of microcontrollers outside of the classroom.

This book will help you comprehend the impact of artificial intelligence (AI) on information security, data privacy, and data security.The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, machine learning, and deep learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations.In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security.What you will learn:How AI is being used to detect and prevent cyberattacks in real-timeWhat are the AI-powered techniques for anonymizing and de-identifying data,What are the latest advancements in AI-powered privacy-enhancing technologies (PETs)How to find the right balance between security and privacyWho this book is for:Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information security

Digitally restore your old photos in Photoshop for print out or to use online as still photos. This first of two volumes will show you some of the basic techniques you can use in Photoshop to preserve or repair damaged family and historical photos.In today¿s digital world of smart phones and cameras, you can easily transfer your photos from phone to computer. However, occasionally yoüre left with an old or damaged version of the image and the uncertainty of how to fix them. Aided by the sound advice and tips from author Jennifer Harder, this book will show you how to do so with just a few basic corrections in Photoshop. Using healing tools, basic color correction tools, layer masks, and workspace commands to fill in missing gaps, yoüll be able to print out an unblemished picture or post it on your social media page.A Beginner¿s Guide to Digital Image Repair in Photoshop: Volume 1 provides the know-how to help preserve your family treasures.What You Will Learn Review scanner basics for digitizing your photos Use various ¿healing¿ and color adjustment tools in Photoshop for restoring photos See how custom selections and layer masks can be used in the photo restoration process Apply various workspaces to fill in missing details in an image or merge photosWho Is This Book ForUsers who want to learn how to repair old historical photos and slides for digital presentation or for print as well as those who are interested in basic animation.

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises. Whether you are new to Databricks and trying to learn a new platform, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will Learn Foundational principles of Lakehouse architecture Key features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live Tables Databricks Intelligence Platform and key functionalities Building and deploying GenAI Applications from data ingestion to model serving Databricks pricing, platform security, DBRX, and many more topics Who This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.

This textbook provides a comprehensive introduction to portfolio management and investments. Focusing on four core areas ¿ portfolio management, equities, bonds, and derivatives ¿ it is primarily intended for undergraduate and graduate students alike. However, it will also benefit practitioners working in the fields of financial analysis and portfolio management and professionals who aspire to such professional activities in the financial industry. To ensure its high practical relevance, the book includes a host of case studies and examples from real-world practice, mainly from the German and Swiss financial markets. Additionally, the book shows how to implement the models in Microsoft Excel.

This textbook is intended to display a broad, methodological introduction to geoinformatics and geoinformation science. It deals with the recording, modeling, processing and analysis as well as presenting and distributing of geodata. As an integrated approach it is dedicated to the multidisciplinary application of methods and concepts of computer science to solve spatial tasks. First the reader receives an introduction to the approach and tasks of geoinformatics, basic concepts and general principles of information processing as well as essentials of computer science. Then this textbook focuses on the following topics: spatial reference systems, digital spatial data, interoperability of spatial data, visualization of spatial information, data organization and database systems, geoinformation systems, remote sensing and digital image processing.The result is a comprehensive manual for studies and practical applications in geoinformatics. It serves also as a basis to support and deepen methodological courses in geography, geology, geodesy and surveying as well as all environmental sciences. In this first English edition, the author has updated and significantly expanded the fourth German edition. New additions include the development of apps, graphical presentation on the web, geodata-bases and recent methods of classification. This book is based on the original German 4th edition Geoinformatik in Theorie und Praxis by Norbert de Lange, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2020 and still presents the only integrated perspective on geoinformatics and geoinformation science. This book was translated with the help of artificial intelligence (machine translation by the service DeepL.com) first and then significantly revised with regard to technical terms and special topics of geoinformatics.

With this book, Hermann Rock provides time-structured core negotiation strategies that can be immediately applied in practice. The author's expertise comes primarily from negotiations in the context of M&A transactions and management investments. However, the concepts presented are equally applicable to negotiations of financing, car purchase, lease or service contracts and thus universally applicable. Three (scientifically based) basic strategies are presented, which the reader can adapt to his or her specific negotiation situation. The examples chosen for illustration are concrete cases negotiated by the author himself. With the certainty of having understood the three basic strategies, the reader enters the negotiation with a positive basic mood and thus creates the basis for his negotiation success. Hermann Rock has successfully presented his strategies for negotiation management many times in lectures and magazines (Focus) and now presents them for the first time in book form as a consistent further development of the Harvard concept.

Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 21 and Jakarta EE 11. It provides a robust introduction to Java 21's new features and updates, a roadmap for Jakarta EE 11 security mechanisms, a unique presentation of the "hot points" (advantages and disadvantages) from the Java Cryptography Architecture (JCA), a new chapter on Quantum cryptography, and more. The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes.The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environments (homomorphic encryption and searchable encryption) also are included. After reading and using this book, you will be proficient with crypto algorithms and know how to apply them to problems you may encounter.   New to This Edition: The modernized Second Edition is updated to reflect the latest language features in Java 21 and Jakarta 11, along with the introduction of a new chapter on Quantum Cryptography (Chapter 6). What You Will Learn Develop programming skills for writing cryptography algorithms in Java Dive into security schemes and modules using Java Explore "good" vs "bad" cryptography based on processing execution times and reliability Play with pseudo-random generators, hash functions, etc. Leverage lattice-based cryptography methods, the NTRU framework library, and more

Learn all about GitLab administration, the open-source DevOps platform helping millions develop and deploy safe and secure software. This book is designed to be your one-stop shop to get up and running with complete ease.Start with the basics like setting up a GitLab account and exploring user options before moving on to GitLab¿s primary function as a source code management tool. From there, yoüll learn about one of the most unique features of GitLab: CI/CD configuration files. The next step on the journey is a discussion of how to organize code into projects and groups, along with defining access permissions using roles. Yoüll also examine the various planning tools provided by GitLab.With the basic features out of the way, yoüll delve into more specialized services such as the built-in Docker image repository, the package registry, web page creation, and binary file storage. The book concludes with more advanced administrative topics such as working with GitLab¿s REST and GraphQL APIs, setting up a proof-of-concept GitLab service using Amazon Web Services (AWS), and spinning up a production service that takes high availability and disaster recovery into account.With an abundance of information available for deploying secure software, selecting the right documentation can often be daunting. From planning to monitoring, Practical GitLab Services eliminates the unknown in your DevOps lifecycle.What You Will Learn Use GitLab to manage source code files, track and plan issues, run builds and tests, and deploy software See how administrators can support developers using GitLab Set up your own standalone installation using AWSWho This Book Is ForSoftware developers, potential GitLab administrators, supporting team members such as testers and project managers.

Embark on an exhilarating journey through the digital landscape with Microsoft Copilots, a suite of AI-powered tools that help you create, edit, and optimize content, code, and data across various Microsoft platforms. This book will be your indispensable guide to harnessing the power of generative AI within the Microsoft ecosystem, introducing you to various copilots and their impact on your business processes. The book will guide you as a manager to leverage Microsoft Copilot to improve your personal productivity, your team's productivity, and achieve your business goals with success.This book is organized into five parts. The first part introduces you to Microsoft Copilot and its features and benefits. In the second part, you will get an overview of the integration of Microsoft Copilot with M365 tools. The third part teaches you about the maker copilot in Power Platform services followed by the business expert copilot for Sales and Service for Business Applications such as Dynamics 365 and Salesforce. The book also introduces you to Copilot Studio to help you extend the copilots or build your own.By the end of this book, you will have a solid understanding of Microsoft Copilot and how to use copilots effectively and efficiently with various transformation platforms. You will also have a collection of tips, tricks, and best practices to help you get the most out of Microsoft Copilot.What Will You Learn Set up and activate Microsoft Copilot on various Microsoft platforms Use Microsoft Copilot to generate and enhance content, code, and data with M365, Power Platform, and Business Applications tools Understand tips, tricks, and best practices to get the most out of Microsoft Copilot Build your own copilot using your own organization data

This book delivers cloud-based applications that are both scalable and reliable, aligning with the evolving needs of the present user base. This innovative approach blends the agility of cloud computing with the efficiency of contemporary DevOps methodologies. The book starts by providing valuable insights into the ever-evolving software landscape of Cloud-native DevOps. It delves into strategies for crafting scalable and dependable applications and illustrates the art of leveraging open-source tools to enhance collaboration. It navigates through the integral role of microservices in contemporary software development and imparts the know-how to integrate them with DevOps practices. The book simplifies container technology, with a focus on Docker and Kubernetes. It further elucidates the process of streamlining software delivery through Continuous Integration and Continuous Deployment (CI/CD). As you progress, you will explore open-source tools, including Argo, Kubeflow Pipelines, and AWS Step Functions. The concluding section covers real-world case studies and best practices for implementing Cloud-native DevOps. The book reviews the core concepts covered throughout and provides an exciting glimpse into the future of Cloud-native DevOps. Upon completing this book, you will be well-versed in the principles and practices of Cloud-native DevOps, understand real-world applications, and recognize the critical importance of security in cloud computing. What You Will Learn Create cloud-based applications that can scale with the changing needs of today's user base Combine the flexibility of cloud computing with the efficiency of modern DevOps methodologies Understand the core concepts and principles of Cloud-native DevOps Understand microservices, containers, and continuous integration and continuous deployment (CI/CD) Who This Book Is ForDevOps engineers, cloud architects, software developers, system administrators, IT managers, team leads, and business decision makers

This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models.The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today¿s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation.By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI. What You Will Learn What is Generative Artificial Intelligence? What are text-to-image synthesis techniques and conditional image generation? What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques? What are text-to-video models and how do you tune them? What are large language models, and how do you tune them? Who This Book Is ForThose with intermediate to advanced technical knowledge in artificial intelligence and machine learning

Discover a groundbreaking approach to introducing DevSecOps. DevSecOps Adventures uses three innovative games to help you to maximize engagement in your training and transform learners¿ mindsets, turning even reluctant sceptics into supporters and advocates of the DevOps culture.The book¿s first coaching game uses LEGO, Chocolate, and role cards to explore the roles and interdependencies of Dev, Ops, and Security. Readers will experience Aha! moments, expand their individual roles, develop T-shaped skills, and experiment with changing organizational culture. The simulations depict an end-to-end product delivery process, highlighting bottlenecks in the value delivery flow. Additionally, the book is updated with two new games, "Fear in the Workplace" and "Safety in the Workplace" which provide insights into safety culture, drawing inspiration from the works of Ron Westrum, William Kahn, Amy C. Edmondson, and Dr. David Rock. Through open conversations, participants learn to identify signs of a fear-ridden culture and apply safety-enhancing practices to foster a culture of experimentation and learning.This Second Edition is enhanced with real-life examples and includes the insights from important State of DevOps reports. The updated ¿Key Takeaway¿ chapter and the new FAQ chapter prepare trainers to deliver an impactful learning experience. It serves as a facilitation guide for gamified experiential learning, provides ideas for effective debriefing, and helps readers relate the issues highlighted in the coaching games to similar challenges they may face in their organizations. What You Will Learn: Gain fundamental understanding of DevOps, DevSecOps, and Safety Culture. Develop the capability to prepare, facilitate, and effectively debrief these coaching games with your teams. Showcase how playfulness can help teams bring down a "wall of confusion" between the different functional silos. Who This Book Is ForProgrammers or system admins/project managers who are new to DevOps.DevOps trainers and Agile Coaches who are interested in offering a collaborative and engaging learning experience to their teams.

Continue your Python network automation journey and delve deeper into advanced techniques and methodologies. Volume 2 of this comprehensive guide takes you beyond the essentials, equipping you with advanced skills and strategies crucial for success in network automation. Building upon the knowledge gained in Volume 1, yoüll set the stage for mastery in this dynamic field.Yoüll start by establishing a robust lab environment for advanced automation projects tailored to your needs and use practical exercises to gain valuable insights into essential networking protocols. Then automate repetitive tasks with precision and efficiency by leveraging powerful Python libraries and tools. Yoüll also see how to streamline IP address management and data center infrastructure management tasks with Python. Discover advanced techniques for network management and monitoring to optimize network performance and security.Explore the development of custom tools and applications for Cisco IOS upgrade tasks in complex network environments and put your skills to the test with real-world scenarios. All this is designed to solidify your expertise and confidence in network automation practices. Your network management capabilities will be enhanced with advanced tools, such as NetBox. Introduction to Python Network Automation Volume 2 - Stepping up provides a comprehensive roadmap to elevate your skills and excel in the dynamic field of network automation. Whether you're a seasoned professional or a newcomer to the field, this guide equips you with the tools and knowledge needed to thrive in today's network automation landscape.What You Will Learn Apply Python fundamentals and network automation strategies effectively. Utilize Python for streamlined network administration, boosting productivity. Consolidate Linux fundamentals and IP network services for enhanced network management. Practice implementing regular expressions in Python for network application development. Develop working Cisco IOS upgrading Python application in PoC environment. Explore Python's extensive applications in enterprise network automation for versatile solutions.Who This Book Is ForIT engineers and developers, network managers and students, who would like to learn network automation using Python.

Responding to the escalating demands placed on organizations and enterprises as they navigate the intricacies of cloud economics, this book offers pragmatic insights for establishing a sturdy foundation for cloud cost management. Scaling Cloud FinOps empowers you with the knowledge and strategies to harness efficient cloud technology usage to proficiently manage cloud costs, refine expenditure, and implement robust, scalable Cloud FinOps practices. At the same time, it arms engineering leaders and executives with the necessary tools to foster a culture of cost awareness critical to greater profitability. At the heart of the book lies author Sasi Kanumuri¿s #Piggy-Bank Framework, an innovative approach to cloud cost governance that offers a practical blueprint to streamline cost reporting, provisioning, and resource management through automation, efficiency, and overall financial performance. Yoüll also delve into the intricacies of the 6-factor formula, a proven approach to cloud cost management. From resource rightsizing and cost allocation models to automated guardrails and vendor management, each factor serves as a pillar to support your organization's financial goals. Looking beyond numbers, Scaling Cloud FinOps will give you the tools needed to orchestrate a cultural shift that can permeate every aspect of your organization. You'll learn how to cultivate a cost-aware engineering culture in which financial policies give every team member the knowledge and motivation to make data-driven decisions that drive efficiency, unlocking significant cost savings and cloud financial excellence. What You Will Learn Cultivate a culture of cost awareness and accountability within engineering teams, fostering collaboration and data-driven decision-making to enhance cloud efficiency Best practices from FinOps pioneers who've scaled world-class FinOps Teams at tech giants and startups Explore unique frameworks enriched with real-world case studies, providing invaluable insights into effective cloud cost management (CCM) Acquire expert techniques in cost optimization, automation, and vendor management, all proven to deliver significant savings and optimal efficacy Who This Book Is ForProfessionals and leaders across the cloud, IT, finance, and procurement industries interested in streamlining cloud expenditures, cultivating a culture of cost awareness across the organization, and establishing robust cloud cost management strategies. Whether you're a novice or seasoned in FinOps practices, this book equips you with the tools to maximize the business value of your cloud investments.

Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book's early chapters cover in detail. The book also discusses the infrastructure and best practices of Feature Engineering, Model Training, Model Serving, and Machine Learning Observability. Ray, the open source project that provides a unified framework and libraries to scale machine learning workload and the Python application, is introduced, and you will see how it fits into the MLOps technical stack.This book is intended for machine learning practitioners, such as machine learning engineers, and data scientists, who wish to help their company by adopting, building maps, and practicing MLOps. What You'll Learn Gain an understanding of the MLOps discipline Know the MLOps technical stack and its components Get familiar with the MLOps adoption strategy Understand feature engineering Who This Book Is ForMachine learning practitioners, data scientists, and software engineers who are focusing on building machine learning systems and infrastructure to bring ML models to production

This book is a comprehensive guide to GitHub Enterprise Cloud and provides a detailed overview of how to set up, manage, administer, and configure GitHub for organizations. In addition to this, you will also learn identity management and the CI/CD pipeline.The book starts with a thorough introduction to GitHub administration and its benefits. You will then learn how to set up and manage a GitHub Enterprise account and organization, guiding administrators through each step. Next, you will go through GitHub Repository Secure Management and Best Practices along with an understanding of how to manage access to GitHub using SAML SSO. GitHub enterprise support strategies and their usage and adoption are discussed next in detail. Moving ahead, you will learn about GitHub Action and Packages followed by GitHub Copilot management. How to automate repetitive tasks and workflows using GitHub Actions and enhancing productivity is discussed in detail with the help of case studies. Towards the end, you will demonstrate securing the software development lifecycle through advanced security and use GitHub Actions for automating business processes.After reading this book, you will be able to leverage the full potential of GitHub Enterprise Cloud for your software development needs.What Will You LearnHow to set up and configure GitHub Enterprise for optimal collaboration, security, and scalability in an enterprise environment.Best practices for managing organizations, repositories, and user access permissions effectively to foster efficient teamwork and code collaboration.Strategies to implement robust CI/CD pipelines using GitHub Actions, automating build, testing, and deployment processes for faster and more reliable software delivery.Proven techniques for ensuring top-notch security and compliance, including authentication methods, access controls, and vulnerability scanning, to protect code repositories and sensitive data.Who Is This Book ForSoftware Development teams, DevOps engineers, and IT professionals who are looking to use GitHub Enterprise Cloud for code collaboration, management, and deployment.

Prepare for an exciting journey into the world of Vue.js. Organized into six days of learning Vue.js, this book will guide you through the key concepts needed to become a proficient developer with this versatile framework.Backed by clear explanations, concrete examples, hands-on exercises, and development tips, yoüll examine the main ingredients needed to build web user interfaces. From creating components to handling events, delving into HTTP requests, and custom directives, each day promises a new skill and practical knowledge that you can immediately apply to your projects.Whether it's for creating professional web applications or simply expanding your horizons in web development, this book will equip you with the necessary skills to excel in with Vue.js. So, dive into this adventure and become a Vue.js master in just six days!What Yoüll Learn Understand key Vue.js principles and concepts. Create Reactive user interfaces. Acquire a comprehensive understanding of the Vue.js framework.Who This Book Is ForWeb Developers, programmers, students, and teachers who are looking to learn or brush up on Vue.js

In its updated 2nd edition, this book details the complete business process lifecycle from modeling to process enactment and improvement, taking all stakeholders into account. Includes management architectures and such standards as WfMC, SOAP, WSDL and BPEL.

With a sustainable lifestyle change based on sufficient exercise and a balanced diet, many chronic diseases (obesity, high blood pressure, diabetes, metabolic syndrome) can be alleviated, cured or their onset prevented. Those affected from chronic diseases find it difficult to change their lifestyle permanently.Intervention programs are often not geared towards sustainable behavioral change and take too little account of the individual's motivational factors. As a result, those affected revert to old patterns after a while. The applied research project "Sustainable Lifestyle Change", which is the subject of this book, deals with the question of how "sticking to" a healthy lifestyle can be supported from the perspective of motivational psychology and service orientation.This specialist book is aimed at people in the healthcare sector (health psychologists, doctors, nutritionists, etc.) as well as applied researchers and explains how affected people can be supportedin "sticking to" a healthy lifestyle. There are gaps in research and practice regarding this so-called maintenance phase of a healthy lifestyle, which this book closes: What measures successfully support those affected from chronic diseases in making sustainable lifestyle changes? What is the role of motivation and motivational orientation in maintaining a healthy lifestyle? What does the maintenance phase look like and what is the customer journey of those affected? What is the role of those affected and other stakeholders in the healthcare ecosystem in long-term lifestyle change? The findings are synthesized in a toolbox with recommendations for practitioners.

This textbook is intended for students of mathematics who have completed the foundational courses of their undergraduate studies and now want to specialize in Data Science and Machine Learning. It introduces the reader to the most important topics in the latter areas focusing on rigorous proofs and a systematic understanding of the underlying ideas.The textbook comes with 121 classroom-tested exercises. Topics covered include k-nearest neighbors, linear and logistic regression, clustering, best-fit subspaces, principal component analysis, dimensionality reduction, collaborative filtering, perceptron, support vector machines, the kernel method, gradient descent and neural networks.

This textbook provides an introduction to group theory starting from the basics, relying on geometry to elucidate its various aspects.Groups naturally manifest as symmetries of geometric shapes, such as reflections and rotations. The book adopts this perspective to provide a straightforward, descriptive explanation, supported by examples and exercises in GAP, an open-source computer algebra system. It covers all of the key concepts of group theory, including homomorphisms, group operations, presentations, products of groups, and finite, abelian, and solvable groups. The topics include cyclic and symmetric groups, dihedral, orthogonal, and hyperbolic groups, as well as the significant notion of Cayley graphs.Self-contained and requiring little beyond high school mathematics, this book is aimed at undergraduate courses and features numerous exercises. It will also appeal to anyone interested in the geometric approach to group theory.

In project-oriented companies, Project Management Offices (PMO) play an important, sometimes central role in aligning and efficiently directing the company's project management activities. These result in organization-specific structures with varied tasks, functions and organizational frameworks. The project management profession is subject to changes and new developments, such as agil, sustainability or new and evolving roles, which present challenges for present and future PMO. This book aims to provide a concise overview of the opportunities offered by PMO and the various implementation approaches. The fourth edition has been expanded to include information on integrating AI technologies and project governance structures, along with two additional case studies on PMO implementation.

Climate change, species extinction, energy and raw material shortages are global challenges that are directly linked to our economic activity. They affect our very existence and jeopardize our ability to lead a good life today and in the future, both as a society and as individuals. The range of questions for which we need answers seems limitless and finding the "right" path for global change increasingly utopian. How do we maintain an overview in the face of highly complex interrelationships and interactions? How can we distinguish the essential from the non-essential? What fundamental relationships in nature do we need to take into account? What kind of economy is appropriate? What is just? And under what conditions are people willing to change?This book offers orientation. It deals with concepts from the natural sciences, economics and philosophy - including time, thermodynamics, scarcity, responsibility and justice - which enable an understanding of the upcoming transformation to sustainability from different perspectives. Ideally, they serve as guidelines for effective decisions and show how change is possible despite immense challenges. The book is aimed at anyone who wants to contribute to the transformation towards sustainability - whether in politics, business, administration or civil society.

¿The book provides a hypnosystemically grounded introduction to therapeutic storytelling in medicine, child therapy, adult psychotherapy, couples therapy, family therapy, social work, pastoral care, education, coaching, supervision, and related professional fields.Contents include:The relevance of storytelling to therapy.Why, when, and how stories have therapeutic effects.Where I can use therapeutic stories.How to find the right story for the right moment.Structuring a therapeutic story.How to start and continue.Enhancing narrative skills.About the Author:Stefan Hammel works as a systemic therapist, hypnotherapist, and author. He is also an protestant hospital and psychiatric chaplain, as well as the director of the Institute for Hypnosystemic Counseling in Kaiserslautern. Additionally, he serves as a lecturer for systemic and hypnotherapeutic training institutes in Germany, Austria, and Switzerland. He conducts seminars on Ericksonian hypnotherapy, therapeutic storytelling, systemic and hypnosystemic counseling. His main areas of focus include couple and family therapy, therapy for children and adolescents, depression, anxiety, trauma, end-of-life and grief counseling, as well as supporting somatic healing processes.

Starting with the Shannon-Wiener approach to mathematical information theory, allowing a mathematical "measurement" of an amount of information, the book begins by defining the terms message and information and axiomatically assigning an amount of information to a probability. The second part explores countable probability spaces, leading to the definition of Shannon entropy based on the average amount of information; three classical applications of Shannon entropy in statistical physics, mathematical statistics, and communication engineering are presented, along with an initial glimpse into the field of quantum information. The third part is dedicated to general probability spaces, focusing on the information-theoretical analysis of dynamic systems.The book builds on bachelor-level knowledge and is primarily intended for mathematicians and computer scientists, placing a strong emphasis on rigorous proofs.

The management of complications in the cardiac catheterization laboratory systematically prepared for the prospective interventional cardiologist and already existing "heart teams". patient care Risk stratification, patient preparation Legally compliant clarification and documentation Aftercare of the patient Procedural complications Puncture site related For wire placement, catheter placement PTCA associated, stent associated Drug and mechanical thrombus management Periprocedural complications Hemodynamic management, cardiogenic shock and use of support systems Airway Management Conscious sedation in the cath lab Contrast allergy and contrast induced nephropathy CPR in the cath lab Error management Teamwork Error culture. What can we learn from aviation Concrete training recommendations, simulation trainings Guideline-based therapy and training according to European Society of Cardiology German Society for Cardiology Recommendations of the Simulation Working Group of the DGK and the AGIK